1
|
Wang Y, Xin Y, Li B, Wu Q, An P, Li B, Li Y, Zang L, Gu W, Mu Y. Association of advanced glycation end products with ear lobe crease: A cross-sectional study. J Diabetes 2024; 16:e13548. [PMID: 38599828 PMCID: PMC11006612 DOI: 10.1111/1753-0407.13548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/31/2024] [Accepted: 02/12/2024] [Indexed: 04/12/2024] Open
Abstract
OBJECTIVE Several studies have demonstrated a significant association between the presence of the ear lobe crease (ELC) and cardiovascular disease. Advanced glycation end-products (AGEs) can affect the structures and functions of proteins and contribute to the development of diabetic complications. However, few studies have reported the relationship between AGEs and ELC. The purpose of this study was to investigate the correlation of skin autofluorescence (SAF)-AGEage (SAF-AGEs × age/100) with ELC. METHODS This cross-sectional study enrolled 6500 eligible participants from two communities in Beijing. Skin autofluorescence (SAF) was used to measure skin AGEs (SAF-AGEs). SAF-AGEage was defined as AGEs × age/100. Binary logistic regression analysis and linear regression analysis nested in logistic models were applied to test outcomes. RESULTS The overall prevalence of ELC with an average age of 62.7 years participants was 57.1% (n = 3714). Age, fasting blood glucose, systolic blood pressure, and lipoprotein cholesterol were all greater in participants with ELC. ELC-positive participants had higher prevalence of coronary heart disease. Logistic analysis showed a significantly positive relationship between quartiles of SAF-AGEage and ELC (odds ratio [OR] 1.526, 95% CI 1.324-1.759; OR 2.072, CI 1.791-2.396; and OR 2.983, CI 2.551-3.489) for the multivariate-adjusted models, respectively. Stratified research revealed that those with a history of diabetes, hypertension, or coronary heart disease experienced the connection between SAF-AGEage and ELC. CONCLUSION ELC is associated with coronary heart disease, and the SAF-AGE has a potential role in ELC development in elder people.
Collapse
Affiliation(s)
- Yuepeng Wang
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- School of MedicineNankai UniversityTianjinChina
| | - Yu Xin
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- School of MedicineNankai UniversityTianjinChina
| | - Binqi Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- School of MedicineNankai UniversityTianjinChina
| | - Qingzheng Wu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Ping An
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Bing Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yijun Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Li Zang
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Weijun Gu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yiming Mu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- School of MedicineNankai UniversityTianjinChina
| |
Collapse
|
2
|
Su W, Yin Y, Cheng Y, Yu S, Hu R, Zhang H, Hu J, Ren R, Zhang Y, Zhao J, Wang A, Lyu Z, Mu Y, Gao J. The phenotype and related gene expressions of macrophages in adipose tissue of T2D mice following MSCs infusion. Immunobiology 2024; 229:152788. [PMID: 38309141 DOI: 10.1016/j.imbio.2024.152788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/28/2023] [Accepted: 01/24/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Infusion of mesenchymal stem cells (MSCs) induces polarization of M2 macrophages in adipose tissue of type 2 diabetes (T2D) mice. Studies have shown that M2 macrophages were divided into four sub-phenotypes (M2a, M2b, M2c and M2d) with different functions, and manuscripts have also confirmed that macrophages co-cultured with MSCs were not matched with known four phenotype macrophages. Therefore, our study explored the phenotype and related gene expressions of macrophages in the adipose tissue of T2D mice with/without MSCs infusion. METHODS We induced a T2D mouse model by using high-fat diets and streptozotocin (STZ) injection. The mice were divided into three groups: the control group, the T2D group, and the MSCs group. MSCs were systemically injected once a week for 6 weeks. The phenotype of macrophages in adipose tissue was detected via flow cytometric analysis. We also investigated the gene expression of macrophages in different groups via SMART-RNA-sequencing and quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR). RESULTS The present study found that the macrophages of adipose tissue in the MSCs group were polarized to the M2 phenotype mixed with four sub-phenotypes. Besides, M2a and M2c held a dominant position, while M2b and M2d (tumor-associated macrophages, TAMs) exhibited a decreasing trend after infusion of MSCs. Moreover, the MSCs group did not appear to express higher levels of tumor-associated, inflammation-associated, or fibrosis-associated genes in comparison to the T2D group. CONCLUSION The present results unveiled that the macrophage phenotype was inclined to be present in a hybridity state of four M2 sub-phenotypes and the genes related to tumor-promoting, pro-inflammation and pro-fibrosis were not increased after MSCs injection.
Collapse
Affiliation(s)
- Wanlu Su
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin 300071, China; Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Yaqi Yin
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Yu Cheng
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Songyan Yu
- Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Ruofan Hu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Haixia Zhang
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Jia Hu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Rui Ren
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Yue Zhang
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Jian Zhao
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Anning Wang
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China
| | - Zhaohui Lyu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China.
| | - Yiming Mu
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin 300071, China; Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing 100853, China.
| | - Jieqing Gao
- Department of Endocrinology, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.
| |
Collapse
|
3
|
Mu Y, Bao X, Eliaschewitz FG, Hansen MR, Kim BT, Koroleva A, Ma RCW, Yang T, Zu N, Liu M. Efficacy and safety of once weekly semaglutide 2·4 mg for weight management in a predominantly east Asian population with overweight or obesity (STEP 7): a double-blind, multicentre, randomised controlled trial. Lancet Diabetes Endocrinol 2024; 12:184-195. [PMID: 38330988 DOI: 10.1016/s2213-8587(23)00388-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/21/2023] [Accepted: 12/21/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Data on the benefits of the once weekly GLP-1 receptor agonist semaglutide 2·4 mg for weight management in people from east Asia are insufficient. The objective of this study was to determine the efficacy and safety of once weekly semaglutide 2·4 mg versus placebo for weight management in a predominantly east Asian adult population. METHODS This randomised phase 3a, double-blind multicentre controlled trial (STEP 7) recruited participants from 23 hospitals and trial centres in China, Hong Kong, Brazil, and South Korea. Adults with overweight or obesity, with or without type 2 diabetes, were randomly assigned (2:1) to receive a subcutaneous injection of either semaglutide 2·4 mg or placebo once a week for 44 weeks, plus a diet and physical activity intervention. Randomisation was done in blocks of six with an interactive web response system and was stratified by diagnosis of type 2 diabetes. Participants, investigators, and the trial sponsor were masked to treatment allocation until after database lock. Primary endpoints were percentage change in mean bodyweight and proportion of participants having reached a weight reduction of at least 5% of bodyweight from baseline to week 44. Safety was assessed in all participants who received at least one dose of study drug. This study is registered with ClinicalTrials.gov, NCT04251156, and is now complete. FINDINGS From Dec 8, 2020, to Aug 23, 2022, 448 participants were screened, of whom 375 were randomly assigned to either the semaglutide 2·4 mg group (n=249) or the placebo group (n=126). Estimated mean percentage change in bodyweight from baseline to week 44 was -12·1% (SE 0·5) with semaglutide 2·4 mg versus -3·6% (0·7) with placebo (estimated treatment difference -8·5 percentage points [95% CI -10·2 to -6·8]; p<0·0001). At week 44, the proportion of participants who lost 5% or more of their bodyweight was higher in the semaglutide 2·4 mg group than in the placebo group (203/238 [85%] vs 36/116 [31%]); odds ratio 13·1 (95% CI 7·4-23·1; p<0·0001). Adverse events were reported by 231 (93%) of 249 participants in the semaglutide 2·4 mg group and 108 (86%) of 126 participants in the placebo group, the most common of which were gastrointestinal disorders (168/249, 67% vs 45/126, 36%). INTERPRETATION The results of this study support the use of semaglutide 2·4 mg for weight management in people of east Asian ethnicity with overweight or obesity and with or without type 2 diabetes. FUNDING Novo Nordisk. TRANSLATIONS For the Mandarin, Portuguese and South Korean translations of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
| | - Xiaolei Bao
- Novo Nordisk (China) Pharmaceuticals Co, Ltd, Beijing, China
| | | | | | - Bom Taeck Kim
- Department of Family Practice and Community Health, Ajou University School of Medicine (AUSOM), Suwon, South Korea
| | | | - Ronald C W Ma
- Division of Endocrinology and Diabetes, Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ning Zu
- Novo Nordisk (China) Pharmaceuticals Co, Ltd, Beijing, China
| | - Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| |
Collapse
|
4
|
Wang Y, Chen H, Li Y, Hao H, Liu J, Chen Y, Meng J, Zhang S, Gu W, Lyu Z, Zang L, Mu Y. Predictive factors that influence the clinical efficacy of umbilical cord-derived mesenchymal stromal cells in the treatment of type 2 diabetes mellitus. Cytotherapy 2024; 26:311-316. [PMID: 38219142 DOI: 10.1016/j.jcyt.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 11/20/2023] [Accepted: 12/26/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND Our previous single-center, randomized, double-blinded, placebo-controlled phase 2 study evaluated the safety and effectiveness of human umbilical cord mesenchymal stromal cell (UC-MSC) transfusion for treating patients with type 2 diabetes mellitus (T2DM). Indeed, this potential treatment strategy was able to reduce insulin use by half in a considerable number of patients. However, many other patients' responses to UC-MSC transfusion were insignificant. The selection of patients who might benefit from UC-MSC treatment is crucial from a clinical standpoint. METHODS In this post hoc analysis, 37 patients who received UC-MSC transfusions were divided into two groups based on whether their glycated hemoglobin (hemoglobin A1c, or HbA1c) level was less than 7% after receiving UC-MSC treatment. The baseline differences between the two groups were summarized, and potential factors influencing efficacy of UC-MSCs for T2DM were analyzed by univariate and multivariate logistic regression. The correlations between the relevant hormone levels and the treatment effect were further analyzed. RESULTS At the 9-week follow-up, 59.5% of patients achieved their targeted HbA1c level. Male patients with lower baseline HbA1c and greater C-peptide area under the curve (AUCC-pep) values responded favorably to UC-MSC transfusion, according to multivariate analysis. The effectiveness of UC-MSCs transfusion was predicted by AUCC-pep (cutoff value: 14.22 ng/h/mL). Further investigation revealed that AUCC-pep was increased in male patients with greater baseline testosterone levels. CONCLUSIONS Male patients with T2DM with greater AUCC-pep may be more likely to respond clinically to UC-MSC therapy, and further large-scale multi-ethnic clinical studies should be performed to confirm the conclusion.
Collapse
Affiliation(s)
- Yuepeng Wang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China; School of Medicine, Nankai University, Tianjin, China
| | - Haixu Chen
- Institute of Geriatrics & National Clinical Research Center of Geriatrics Disease, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yijun Li
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Haojie Hao
- Department of Biotherapy, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiejie Liu
- Department of Biotherapy, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yulong Chen
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Junhua Meng
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Saichun Zhang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Li Zang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
| |
Collapse
|
5
|
Li Y, Cheng Z, Lu W, Li P, Jiang H, Yang J, Xu J, Zhang C, Zhang L, Wang Y, Bian F, Guo W, Yu X, Chen X, Zhao D, Feng B, Qu S, Qin J, Zhang Y, Wang L, Cheng H, Mu Y. Efficacy of noiiglutide injection on body weight in obese Chinese adults without diabetes: A multicentre, randomized, double-blind, placebo-controlled, phase 2 trial. Diabetes Obes Metab 2024; 26:1057-1068. [PMID: 38105342 DOI: 10.1111/dom.15407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/13/2023] [Accepted: 11/24/2023] [Indexed: 12/19/2023]
Abstract
AIM To evaluate the effect of noiiglutide as an adjunct to lifestyle intervention on the reduction in body weight and tolerability in obese Chinese adults without diabetes. MATERIALS AND METHODS In this 24-week, randomized, double-blind, placebo-controlled phase 2 trial, 254 obese adults with a body mass index of 28.0-40.0 kg/m2 and without diabetes were enrolled. Participants were initially randomized in a 1:1:1 ratio to one of three dose levels: 0.12, 0.24, or 0.36 mg of the study treatment. Within each dose level, participants were further randomized in a 3:1 ratio to receive either subcutaneous injection of noiiglutide or a matching placebo. The primary endpoint was the change in body weight from baseline to week 24. RESULTS Across all noiiglutide dosage levels, least squares mean reductions in body weight from baseline to week 24 ranged from 8.03 to 8.50 kg, compared with 3.65 kg in the placebo group (all p-values <.0001). In the noiiglutide groups (0.12, 0.24, 0.36 mg/day), a significantly higher proportion of participants achieved a weight loss ≥5% (68.8%, 60.0%, 73.0%) and ≥10% (37.5%, 36.9%, 39.7%), compared with the pooled placebo group (≥5%: 29.0%; ≥10%: 8.1%). Gastrointestinal adverse events, such as nausea, diarrhoea and vomiting, were more common in all noiiglutide groups (15.4%-30.2%, 18.8%-22.2%, 15.6%-18.5%) than in the pooled placebo group (8.1%, 6.5%, 0%). CONCLUSIONS In obese Chinese adults without diabetes, once-daily subcutaneous noiiglutide significantly reduced body week at week 24 compared with placebo, and had a manageable safety profile, primarily involving gastrointestinal disorders.
Collapse
Affiliation(s)
- Yijun Li
- The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Zhifeng Cheng
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Weiping Lu
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China
| | - Ping Li
- Yuncheng Central Hospital of Shanxi Province, Yuncheng, China
| | - Hongwei Jiang
- The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Jing Yang
- The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jing Xu
- The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Cheng Zhang
- Chongqing SanXia Central Hospital, Chongqing, China
| | - Lili Zhang
- The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yao Wang
- Zhongda Hospital Southeast University, Nanjing, China
| | - Fang Bian
- Cangzhou People's Hospital, Cangzhou, China
| | - Weiying Guo
- The First Hospital of Jilin University, Changchun, China
| | - Xuefeng Yu
- Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Xiaopan Chen
- The First Affiliated Hospital of Hainan Medical College, Haikou, China
| | - Dong Zhao
- Luhe Hospital Affiliated to Capital Medical University, Beijing, China
| | - Bo Feng
- Shanghai East Hospital, Shanghai, China
| | - Shen Qu
- Shanghai Tenth People's Hospital, Shanghai, China
| | - Jie Qin
- Shanxi Provincial People's Hospital, Taiyuan, China
| | - Yifei Zhang
- Jiangsu Hengrui Pharmaceuticals Co., Ltd., Shanghai, China
| | - Lin Wang
- Jiangsu Hengrui Pharmaceuticals Co., Ltd., Shanghai, China
| | - Hong Cheng
- Jiangsu Hengrui Pharmaceuticals Co., Ltd., Shanghai, China
| | - Yiming Mu
- The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
6
|
Hu C, Wang S, Lin H, Wan Q, Zheng R, Zhu Y, Li M, Xu Y, Xu M, Zheng J, Chen L, Zeng T, Hu R, Ye Z, Shi L, Su Q, Chen Y, Yu X, Yan L, Wang T, Zhao Z, Qin G, Chen G, Dai M, Zhang D, Tang X, Gao Z, Shen F, Gu X, Luo Z, Qin Y, Chen L, Hou X, Huo Y, Li Q, Wang G, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Mu Y, Lai S, Li D, Ning G, Wang W, Hu W, Bi Y, Lu J. Body size, insulin sensitivity, metabolic health and risk of cardiovascular disease in Chinese adults: Insights from the China Cardiometabolic Disease and Cancer Cohort (4C) study. Diabetes Obes Metab 2024. [PMID: 38419419 DOI: 10.1111/dom.15525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 03/02/2024]
Abstract
AIMS To assess the excess risk of cardiovascular disease (CVD) associated with different criteria for metabolic health, and the interplay of body size, insulin sensitivity and metabolic health with CVD risk. MATERIALS AND METHODS We conducted a prospective study involving 115 638 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Metabolic health was defined using three different definitions: (1) insulin sensitivity defined by homeostatic model assessment of insulin resistance index; (2) absence of metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria; and (3) simultaneous absence of metabolic abnormalities (diabetes, hypertension, dyslipidaemia). The primary endpoint was a composite of incident CVD events comprising the first occurrence of myocardial infarction, stroke, heart failure, or cardiovascular death. RESULTS During a mean 3.61-year follow-up period, obese individuals with insulin sensitivity (multivariable-adjusted hazard ratio [HR] 1.69, 95% confidence interval [CI] 1.37-2.08), or without metabolic syndrome (HR 1.46, 95% CI 1.13-1.89) still exhibited increased CVD risks, when compared to their normal-weight counterparts. Otherwise, those with obesity but simultaneous absence of metabolic abnormalities demonstrated similar CVD risk compared to normal-weight individuals (HR 0.91, 95% CI 0.53-1.59). CVD risk increased with the number of abnormalities across body mass index categories, regardless of insulin sensitivity. CONCLUSIONS This study emphasizes the need for refined definitions of metabolic health and advocates for meticulous screening for metabolic abnormalities to reduce cardiovascular risks, even in individuals with normal weight and insulin sensitivity.
Collapse
Affiliation(s)
- Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuejiang Gu
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Xinguo Hou
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Shenghan Lai
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiguo Hu
- Department of Geriatrics, Medical Center on Aging, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| |
Collapse
|
7
|
Zhang H, Zhang Y, Gao W, Mu Y. Identification of risk factors and development of a predictive model for chronic kidney disease in patients with obesity: a four-year cohort study. Lipids Health Dis 2024; 23:57. [PMID: 38389088 PMCID: PMC10882765 DOI: 10.1186/s12944-024-02048-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 02/16/2024] [Indexed: 02/24/2024] Open
Abstract
OBJECTIVE The sneaky onset and dismal prognosis of chronic kidney disease (CKD) make it an important public health issue. Obesity-related kidney illness has garnered more attention in recent times. Establishing and validating a risk prediction model for chronic renal illness in overweight or obese adults was the goal of this investigation. METHODS Data from the China Health and Retirement Longitudinal Study were used for analysis. The definition of CKD was reduced renal function (eGFR < 60 mL/min/1.73 m²), while overweight and obesity were characterized through a body mass index exceeding 24 kg/m². The dataset was divided into derivation and validation cohorts using a 7:3 ratio. With respect to the derivation cohort, we constructed a prediction model using LASSO analysis and multivariate logistic regression. The model's performance was evaluated using Hosmer-Lemeshow tests, calibration curves, decision curve analysis, and receiver operating characteristic (ROC) curves. The validation cohort's model was subjected to additional assessment. RESULTS The study was based on survey data from 2011 to 2015 and comprised 3246 individuals who were overweight or obese, with 2274 being part of the derivation cohort and 972 being part of the validation cohort. The research constructed a prediction model that included age, sex, fasting blood glucose, glycated hemoglobin, triglyceride, hypertension, and BMI. The validation cohort's area under the ROC curve was 0.812 (95% CI = 0.763, 0.859) while the derivation cohort's was 0.789 (95% CI = 0.754, 0.831). Hosmer-Lemeshow tests were utilized to evaluate the model's accuracy in the validation and derivation cohorts (P = 0.681 and 0.547, respectively). The calibration curve showed a high level of consistency between the actual observations and the projected outcomes. According to decision curve analysis, the model offered significant net advantages. CONCLUSIONS The forecasting model established in this research has predictive value for CKD in patients with overweight or obesity. These findings could help doctors conduct early detection and intervention in clinical practice and further improve patient prognosis.
Collapse
Affiliation(s)
- Haixia Zhang
- PLA Medical school, Beijing, China
- Department of Endocrinology, the First Medical Center of People's Liberation Army General Hospital, Beijing, China
| | - Yue Zhang
- PLA Medical school, Beijing, China
- Department of Endocrinology, the First Medical Center of People's Liberation Army General Hospital, Beijing, China
| | | | - Yiming Mu
- Department of Endocrinology, the First Medical Center of People's Liberation Army General Hospital, Beijing, China.
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.
| |
Collapse
|
8
|
Zhu Y, Wang L, Lin L, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Wang S, Lin H, Wu X, Hu C, Li M, Xu M, Xu Y, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Gu X, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wang W, Ning G, Bi Y, Chen Y, Lu J. The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study. Gut Liver 2024:gnl230220. [PMID: 38384199 DOI: 10.5009/gnl230220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 02/23/2024] Open
Abstract
Background/Aims : Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods : A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results : Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions : In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.
Collapse
Affiliation(s)
- Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Long Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical College, Luzhou, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical University, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuejiang Gu
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
9
|
Chen K, Chen L, Shan Z, Wang G, Qu S, Qin G, Yu X, Xin W, Hsieh TH, Mu Y. Beinaglutide for weight management in Chinese individuals with overweight or obesity: A phase 3 randomized controlled clinical study. Diabetes Obes Metab 2024; 26:690-698. [PMID: 37945546 DOI: 10.1111/dom.15360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 10/11/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023]
Abstract
AIM To investigate the efficacy and safety of beinaglutide as an adjunct to lifestyle intervention among non-diabetic Chinese individuals with overweight or obesity. METHODS This multicentre, randomized, double-blind, placebo-controlled trial (ChiCTR1900023428) included 427 Chinese adults with a body mass index of 28 kg/m2 or higher (obesity) or 24-27.9 kg/m2 (overweight) with weight-related complications. Patients were randomized in a 2:1 ratio to receive 0.2 mg of beinaglutide (subcutaneous) thrice daily or placebo for 16 weeks. Co-primary endpoints were body weight change and the proportion of patients with a weight reduction of 5% or more. RESULTS Mean body weight change from baseline to week 16 was -6.0% and -2.4% in the beinaglutide (n = 282) and placebo (n = 138) groups, respectively; the mixed model repeated measures difference was -3.6% (95% confidence interval: -4.6% to -2.6%; P < .0001). At week 16, more beinaglutide-treated patients achieved a weight reduction of 5% or more (58.2% vs. 25.4% [placebo], odds ratio: 4.4; P < .0001) and of 10% or more (21.3% vs. 5.1% [placebo], odds ratio: 5.5; P < .0001). Beinaglutide also resulted in greater waist circumference reduction (difference: -1.81 cm; P < .01). The weight regain rate 12 weeks after beinaglutide treatment was 0.78%. Nausea (transient and mild-to-moderate) was the most common adverse event in the beinaglutide group (49.3% vs. 7.1% [placebo]). More patients receiving beinaglutide discontinued treatment because of adverse events (5.9% vs. 0.7% [placebo]). Pancreatitis or an increased resting heart rate was not observed in the beinaglutide group. CONCLUSION Beinaglutide combined with lifestyle intervention resulted in significant and clinically meaningful weight reduction with good tolerance in non-diabetic Chinese individuals with overweight or obesity.
Collapse
Affiliation(s)
- Kang Chen
- The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Zhongyan Shan
- The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Guixia Wang
- The First Hospital of Jilin University, Jilin, China
| | - Shen Qu
- Shanghai Tenth People's Hospital, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiquan Xin
- Shanghai Benemae Pharmaceutical Corporation, Shanghai, China
| | - Tsung-Han Hsieh
- Shanghai Benemae Pharmaceutical Corporation, Shanghai, China
| | - Yiming Mu
- The First Medical Center of Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
10
|
Su W, Wang J, Chen K, Yan W, Gao Z, Tang X, Wan Q, Luo Z, Ning G, Mu Y. A higher TyG index level is more likely to have enhanced incidence of T2DM and HTN comorbidity in elderly Chinese people: a prospective observational study from the reaction study. Diabetol Metab Syndr 2024; 16:29. [PMID: 38287450 PMCID: PMC10826216 DOI: 10.1186/s13098-024-01258-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/03/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Triglyceride glucose index (TyG index) was related with both type 2 diabetes (T2DM) and hypertension (HTN). Prospective studies linking the TyG index to the incidence of T2DM and HTN comorbidity remain unclear. This study aimed to to explore the longitudinal association between TyG and new-onset T2DM with HTN. METHODS 4,434 subjects (1249 males and 3185 females) without initial T2DM and HTN were followed up for 7 years. This study was conducted from November 2011 to August 2018 in the Gucheng, Laoshan and Jinding communities of Beijing. The incidence of T2DM with HTN during the 7-year follow-up was identified as the endpoint. The TyG index was divided into four quartiles: the < 25% level, the 25-50% level, the 50-75% level and the ≥ 75% level. The relationships between the TyG index and T2DM with HTN were evaluated by Cox proportional hazards regression models. RESULTS During 7 years, the augmented trend of T2DM with HTN was observed in the participants. After adjusting for all confounding factors, compared with those in the lowest quartile of TyG index, the population in the highest quartile of TyG index had a higher risk of T2DM with HTN (hazard ratio (HR), 2.878; 95% confidence intervals (95% CI), 1.230-6.731, P = 0.015), however, the association remained significant only in the female population (HR 2.753, 95% CI, 1.061-7.139, p = 0.037). The TyG had superior predictive ability of increased risk of T2DM with HTN for the populations of older age (≥ 65 years) (HR 2.694, 95% CI 1.212-5.989, p = 0.015), higher eGFR (≥ 90 mL/(min·1.73 m2)) (HR 2.603, 95% CI 1.164-5.818, p = 0.020) or obesity (BMI ≥ 28 kg/m2) (HR 2.547, 95% CI 1.001-6.478, p = 0.020). CONCLUSION A population with a higher TyG index level was more likely to have an enhanced incidence of T2DM and HTN comorbidity. TyG index could have the significance of clinical in early protection against T2DM with HTN.
Collapse
Affiliation(s)
- Wanlu Su
- Department of Endocrinology, The First Clinical Medical Center of Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing, 100853, China
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China
| | - Jie Wang
- Department of Endocrinology, Affiliated Beijing Chaoyang Hospital of Capital Medical University, No. 8 Workers Stadium South Road, Chaoyang District, Beijing, 100853, China
| | - Kang Chen
- Department of Endocrinology, The First Clinical Medical Center of Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing, 100853, China
| | - Wenhua Yan
- Department of Endocrinology, The First Clinical Medical Center of Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing, 100853, China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, No. 826 Southwest Shahekou District Road, Dalian, 116033, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Department of Endocrinology, Center Hospital of Dalian, Dalian, Liaoning, China
| | - Qin Wan
- Department of Endocrinology, Affiliated Hospital of Luzhou Medical College, No. 25 Taiping Road, Luzhou, 646000, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Department of Endocrinology, Shanghai National Research Center for Endocrine and Metabolic Disease, Shanghai Institute for Endocrine and Metabolic Disease, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Department of Endocrinology, The First Clinical Medical Center of Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China.
| |
Collapse
|
11
|
Yin Y, Li L, Yu S, Xin Y, Zhu L, Hu X, Chen K, Gu W, Mu Y, Zang L, Lyu Z. The first compound heterozygous mutations in SLC12A3 and PDX1 genes: a unique presentation of Gitelman syndrome with distinct insulin resistance and familial diabetes insights. Front Endocrinol (Lausanne) 2024; 14:1327729. [PMID: 38333726 PMCID: PMC10850558 DOI: 10.3389/fendo.2023.1327729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024] Open
Abstract
Background Gitelman Syndrome (GS) patients frequently exhibit disrupted glucose metabolism, attributed to hypokalemia, hypomagnesemia and heightened aldosterone. This study delved into the genetic underpinnings linked to insulin resistance and diabetes in a GS patient, contextualized within his family history. Methods The hydrochlorothiazide and furosemide loading test were performed to ascertain the presence of GS. Oral glucose tolerance test (OGTT) evaluated glucose metabolism and insulin sensitivity. Whole-exome sequencing, validated by Sanger sequencing, was employed to confirm gene mutations, which were then tracked among the patient's relatives. Results Symptoms and laboratory examination confirmed the clinical diagnosis of GS. Comprehensive whole-exome sequencing, augmented by Sanger sequencing validation, revealed a compound heterozygous mutation within the SLC12A3 gene (c.1108G>C in exon 9, c.676G>A in exon 5 and c.2398G>A in exon 20) in the patient. The OGTT affirmed diabetes and heightened insulin resistance, distinct from previous patients with GS we evaluated. Further genetic analysis identified a missense heterozygous mutation (c.97C>G in exon 1) within the PDX1 gene, inherited from the patient's diabetic mother without GS. Furthermore, the patient's brother, with impaired glucose tolerance but regular potassium levels, also bore this mutation, hinting at additional impacts of the PDX1 gene mutation on glucose metabolism regulation beyond the known impacts of GS. Conclusion This study unveils unprecedented compound heterozygous mutations in the SLC12A3 and PDX1 genes in a GS patient. These findings illuminate the potential complex genetic factors influencing glucose metabolism disruptions in GS. Take-home message This research uncovers a novel combination of SLC12A3 and PDX1 gene mutations in a Gitelman Syndrome patient, revealing intricate genetic factors that potentially disrupt glucose metabolism and shedding light on familial diabetes links.
Collapse
Affiliation(s)
- Yaqi Yin
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Liqin Li
- Department of Endocrinology, Baoding No. 1 Central Hospital, Baoding, China
| | - Songyan Yu
- Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Xin
- School of Medicine, Nankai University, Tianjin, China
| | - Lili Zhu
- Department of Endocrinology and Cardiology, TaiYuan No.8 People Hospital, Taiyuan, China
| | - Xiao Hu
- Department of Internal Medicine, The 63790th Hospital of Chinese People’s Liberation Army, Xichang, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Li Zang
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| |
Collapse
|
12
|
Wang L, Wu P, Chen K, Li B, Wang J, Mu Y. Correlation between rate-pressure product or pressure-rate quotient and urinary albumin-creatinine ratio in the Chinese older population: The REACTION study. Chin Med J (Engl) 2024; 137:238-240. [PMID: 38185831 PMCID: PMC10798781 DOI: 10.1097/cm9.0000000000002941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Indexed: 01/09/2024] Open
Affiliation(s)
- Linghuan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing 100853, China
- Department of Medicine School, Nankai University, Tianjin 300071, China
| | - Peixin Wu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing 100853, China
- Department of Medicine School, Nankai University, Tianjin 300071, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Binqi Li
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing 100853, China
- Department of Medicine School, Nankai University, Tianjin 300071, China
| | - Jie Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Beijing 100020, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing 100853, China
- Department of Medicine School, Nankai University, Tianjin 300071, China
| |
Collapse
|
13
|
Li B, Zhou X, Liu Y, Zhang Y, Mu Y. Remnant Cholesterol is More Strongly Associated with Arterial Stiffness than Traditional Lipids and Lipid Ratios in the General Chinese Population. J Atheroscler Thromb 2023:64146. [PMID: 38171806 DOI: 10.5551/jat.64146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024] Open
Abstract
AIM Studies on the relationship between remnant cholesterol (RC) and arterial stiffness (AS) are limited. This study aims to investigate the relationship between RC and AS and to explore RC, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), non-HDL-C, LDL-C/HDL-C, TG/HDL-C, lipoprotein combine index (LCI), and TC/HDL-C, which are lipid parameters most strongly associated with AS. METHODS A total of 4653 participants from the REACTION (Risk Evaluation of Cancers in Chinese Diabetic Individuals) study were recruited. AS was defined as a brachial-ankle pulse wave velocity of ≥ 1400 cm/s. Multiple logistic regression analyses were performed to detect its association with lipid parameters (RC, TG, TC, HDL-C, LDL-C, non-HDL-C, LDL-C/HDL-C, TG/HDL-C, LCI, and TC/HDL-C). RESULTS Logistic regression analysis showed that compared with other traditional or non-traditional lipid parameters, the association between RC and AS was the strongest (odds ratio (OR) 1.59, 95% confidence interval (CI) 1.30-1.95, P<0.001). In the stratified analysis, RC was significantly associated with AS in both sexes and at any age, as well as blood glucose, blood pressure, and body mass index levels. Besides, RC and AS were still significantly associated when TG<1.7 mmol/L (OR:1.58, 95% CI: 1.02-2.45, P=0.04), LDL-C <3.4 mmol/L (OR:1.32, 95% CI: 1.01-1.73, P=0.041), HDL-C ≥ 1.0 mmol/L (OR:1.67, 95% CI: 1.34-2.08, P<0.001), or non-HDL-C<4.1 mmol/L (OR: 1.42, 95% CI: 1.10-1.82, P=0.007) are controlled within the appropriate range. CONCLUSION In conclusion, compared with traditional lipids and lipid ratios, RC is more strongly associated with AS. The association between RC and AS remains significant even when TG, LDL-C, HDL-C, or non-HDL-C levels are controlled within the appropriate range.
Collapse
Affiliation(s)
- Binqi Li
- School of Medicine, Nankai University
- Department of Endocrinology, First medical center of PLA General Hospital
| | - Xin Zhou
- Graduate School, Chinese PLA General Hospital
- Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital
- The Second Medical Center of Chinese PLA General Hospital
| | - Yang Liu
- Department of Endocrinology, Eighth Medical Center of PLA General Hospital
| | - Yue Zhang
- Department of Endocrinology, First medical center of PLA General Hospital
| | - Yiming Mu
- School of Medicine, Nankai University
- Department of Endocrinology, First medical center of PLA General Hospital
- Graduate School, Chinese PLA General Hospital
| |
Collapse
|
14
|
Zang L, Li Y, Hao H, Liu J, Zhang Q, Gao F, Wang H, Chen Y, Gu W, Du J, Meng J, Zhang S, Lyu Z, Dou J, Mu Y. Efficacy of Umbilical Cord-Derived Mesenchymal Stem Cells in the Treatment of Type 2 Diabetes Assessed by Retrospective Continuous Glucose Monitoring. Stem Cells Transl Med 2023; 12:775-782. [PMID: 37738447 PMCID: PMC10726406 DOI: 10.1093/stcltm/szad060] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 08/16/2023] [Indexed: 09/24/2023] Open
Abstract
Umbilical cord-derived mesenchymal stem cells (UC-MSCs) have been proved a promising clinical strategy for the treatment of diabetes, and time in range (TIR) has been demonstrated a new metric of glycemic control links to diabetes complications. To further assess the therapeutic effect of UC-MSCs on TIR, a phase II study investigating the efficacy of UC-MSCs in Chinese adults with type 2 diabetes (T2D) assessed by retrospective continuous glucose monitoring (CGM) was conducted. In this randomized and placebo-controlled trial, a total of 73 patients were randomly assigned to receive intravenous infusion of UC-MSCs (n = 37) or placebo (n = 36) 3 times at 4-week intervals and followed up for 48 weeks. The primary endpoint was the changes in TIR and glycosylated hemoglobin (HbA1c). TIR and HbA1c were both significantly improved in UC-MSCs and placebo groups after 48 weeks of therapy compared with baseline. Compared with placebo group, UC-MSCs group exhibited more pronounced changes at 9 and 48 weeks from baseline in TIR (26.54 vs. 15.84 and 21.36 vs. 6.32) and HbA1c (-1.79 vs. -0.96 and -1.36 vs. -0.51). More patients in UC-MSCs group achieved the glycemic control target of TIR ≥ 70% and HbA1c < 7% at 9 and 48 weeks than in placebo group (59.5% vs. 27.8% and 43.2% vs. 11.1%). The C-peptide area under the curve (AUCC-pep) was an independent risk factor associated with efficacy in T2D undergoing UC-MSCs intervention. These results illustrate that UC-MSCs administration via intravenous infusion is an effective approach for ameliorating TIR.
Collapse
Affiliation(s)
- Li Zang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yijun Li
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Haojie Hao
- Department of Biotherapy, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiejie Liu
- Department of Biotherapy, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qian Zhang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Fei Gao
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Haibin Wang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yulong Chen
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jin Du
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Junhua Meng
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Saichun Zhang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
15
|
Ding Y, Xu X, Xin Z, Cao Q, Huang J, Wu X, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wu S, Chen Y, Lu J, Wang W, Ning G, Xu Y, Bi Y, Li M. Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults. Front Med 2023:10.1007/s11684-023-1019-5. [PMID: 38049616 DOI: 10.1007/s11684-023-1019-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/24/2023] [Indexed: 12/06/2023]
Abstract
Studies have found a U-shaped relationship between sleep duration and chronic kidney disease (CKD) risk, but limited research evaluated the association of reallocating excessive sleep to other behavior with CKD. We included 104 538 participants from the nationwide cohort of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, with self-reported time of daily-life behavior. Using isotemporal substitution models, we found that substituting 1 h of sleeping with sitting, walking, or moderate-to-vigorous physical activity was associated with a lower CKD prevalence. Leisure-time physical activity displacement was associated with a greater prevalence reduction than occupational physical activity in working population. In stratified analysis, a lower CKD prevalence related to substitution toward physical activity was found in long sleepers. More pronounced correlations were observed in long sleepers with diabetes than in those with prediabetes, and they benefited from other behavior substitutions toward a more active way. The U-shaped association between sleep duration and CKD prevalence implied the potential effects of insufficient and excessive sleep on the kidneys, in which the pernicious link with oversleep could be reversed by time reallocation to physical activity. The divergence in the predicted effect on CKD following time reallocation to behavior of different domains and intensities and in subpopulations with diverse metabolic statuses underlined the importance of optimizing sleeping patterns and adjusting integral behavioral composition.
Collapse
Affiliation(s)
- Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoli Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xianglin Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital, Affiliated to Nanchang University, Nanchang, 330000, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical University, Guiyang, 550000, China
| | - Qing Su
- Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200000, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Affiliated of Dalian Medical University, Dalian, 116000, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, 130000, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, 250000, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, 200000, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210000, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 410000, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Jiajun Zhao
- Shandong Provincial Hospital, Affiliated to Shandong University, Jinan, 250000, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, 100000, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People's Hospital, Karamay, 834000, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| |
Collapse
|
16
|
Zhang W, Ma X, Yu S, Zhang X, Mu Y, Li Y, Xiao Q, Ji M. Occupational stress, respect, and the need for psychological counselling in Chinese nurses: a nationwide cross-sectional study. Public Health 2023; 225:72-78. [PMID: 37922589 DOI: 10.1016/j.puhe.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/11/2023] [Accepted: 09/06/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES This study aimed to explore occupational stress, perceived respect, and the need for psychological counselling among nurses in China. STUDY DESIGN This was a nationwide cross-sectional study. METHODS Chinese nurses from 311 cities were randomly selected through a simple random sampling method. Occupational stress, perceived respect, and psychological counselling need were assessed using an online questionnaire validated by experts. The underlying associated factors were analysed using multiple logistic regression analyses. RESULTS We collected and analysed 51,406 valid online questionnaires. Family factors and low income were the most commonly cited sources of occupational stress, and 91.9% and 80.0% of nurses, respectively, perceived that individuals in society and patients did not give adequate respect. Furthermore, 75.5% and 79.7%, respectively, believed they were not respected by clinical managers and doctors. As a result, 64.7% nurses believed they had a moderate or high need for psychological counselling. However, 80.7% indicated that receiving adequate respect could decrease the need for stress-related psychological counselling. Indeed, multiple logistic regression analyses showed that lower respect perceived by nurses was associated with higher need for psychological counselling, particularly regarding criticism that nurses perceived from nursing managers (a little: odds ratio [OR], 1.597; 95% confidence interval [CI], 1.176-2.170; P = 0.003; moderately: OR, 1.433; 95% CI, 1.180-1.741; P < 0.001) and the difficulty of receiving respect from patients and their families (a little: OR, 1.389; 95% CI, 1.044-1.850; P = 0.024). CONCLUSIONS Nurses in China perceive high levels of occupational stress and low levels of respect and often seek psychological counselling.
Collapse
Affiliation(s)
- W Zhang
- Capital Medical University, Beijing, China
| | - X Ma
- Medical School of Chinese PLA, Beijing, China
| | - S Yu
- Medical Security Center, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China
| | - X Zhang
- Department of Nursing Network, Beijing, China
| | - Y Mu
- Beijing College of Social Administration, Beijing, China
| | - Y Li
- Capital Medical University, Beijing, China
| | - Q Xiao
- Capital Medical University, Beijing, China.
| | - M Ji
- Capital Medical University, Beijing, China.
| |
Collapse
|
17
|
Mu Y, Li J, Zhang S, Zhong F, Zhang X, Song J, Yuan H, Tian T, Hu Y. Role of LncMALAT1-miR-141-3p/200a-3p-NRXN1 Axis in the Impairment of Learning and Memory Capacity in ADHD. Physiol Res 2023; 72:645-656. [PMID: 38015763 PMCID: PMC10751048 DOI: 10.33549/physiolres.935011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 06/27/2023] [Indexed: 01/05/2024] Open
Abstract
As a prevalent neurodevelopmental disease, attention-deficit hyperactivity disorder (ADHD) impairs the learning and memory capacity, and so far, there has been no available treatment option for long-term efficacy. Alterations in gene regulation and synapse-related proteins influence learning and memory capacity; nevertheless, the regulatory mechanism of synapse-related protein synthesis is still unclear in ADHD. LncRNAs have been found participating in regulating genes in multiple disorders. For instance, lncRNA Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1) has an essential regulatory function in numerous psychiatric diseases. However, how MALAT1 influences synapse-related protein synthesis in ADHD remains largely unknown. Here, our study found that MALAT1 decreased in the hippocampus tissue of spontaneously hypertensive rats (SHRs) compared to the standard controls, Wistar Kyoto (WKY) rats. Subsequent experiments revealed that MALAT1 enhanced the expression of neurexin 1 (NRXN1), which promoted the synapse-related genes (SYN1, PSD95, and GAP43) expression. Then, the bioinformatic analyses predicted that miR-141-3p and miR-200a-3p, microRNAs belonging to miR-200 family and sharing same seed sequence, could interact with MALAT1 and NRXN1 mRNA, which were further confirmed by luciferase report assays. Finally, rescue experiments indicated that MALAT1 influenced the expression of NRXN1 by sponging miR-141-3p/200a-3p. All data verified our hypothesis that MALAT1 regulated synapse-related proteins (SYN1, PSD95, and GAP43) through the MALAT1-miR-141-3p/200a-3p-NRXN1 axis in ADHD. Our research underscored a novel role of MALAT1 in the pathogenesis of impaired learning and memory capacity in ADHD and may shed more light on developing diagnostic biomarkers and more effective therapeutic interventions for individuals with ADHD.
Collapse
Affiliation(s)
- Y Mu
- The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China; Department of Children's Health Care, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Maternal and Child Health Care Hospital, Nanjing, Jiangsu, China. ,
| | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Chen K, Shen Z, Gu W, Lyu Z, Qi X, Mu Y, Ning Y. Prevalence of obesity and associated complications in China: A cross-sectional, real-world study in 15.8 million adults. Diabetes Obes Metab 2023; 25:3390-3399. [PMID: 37589256 DOI: 10.1111/dom.15238] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/13/2023] [Accepted: 07/25/2023] [Indexed: 08/18/2023]
Abstract
AIM To evaluate the prevalence of overweight/obesity and associated complications from a large, cross-sectional, nationwide database in China. MATERIALS AND METHODS Data were obtained from 519 Meinian health check-up centres across 243 cities. Eligible participants were aged ≥18 years, with a routine check-up in 2019 (N = 21 771 683) and complete height, weight, sex and region data. The unadjusted prevalence rates of overweight/obesity were calculated by age, sex and region. In addition, the nationwide prevalence rates of overweight and obesity were standardized according to the 2010 China census by age group and sex. The prevalence of obesity-related complications by body mass index (BMI) groups was calculated using logistic regression. RESULTS There were 15 770 094 eligible participants (median age 40 years; mean BMI 24.1 kg/m2 ; 52.8% male). By Chinese BMI classification, 34.8% were overweight and 14.1% were obese. Overweight and obesity were more prevalent in male than female participants (standardized: overweight 40.2% vs. 27.4%; obesity 17.6% vs. 9.6%, respectively). The prevalence of assessed complications was higher in participants with overweight/obesity versus those with normal BMI (P < 0.001 for trends). The most prevalent complications in participants with overweight/obesity were fatty liver disease, prediabetes, dyslipidaemia and hypertension. The number of complications increased with higher BMI. CONCLUSIONS Overweight/obesity and related complications are highly prevalent in this population. These data may better inform management and prevention public health strategies in China.
Collapse
Affiliation(s)
- Kang Chen
- Department of Endocrinology, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zewei Shen
- Biostatistics and Data Science, Novo Nordisk (China) Pharmaceuticals Co., Ltd, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhaohui Lyu
- Department of Endocrinology, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xuan Qi
- Medical Affairs, Novo Nordisk (China) Pharmaceuticals Co., Ltd, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yi Ning
- Meinian Institute of Health, Beijing, China
| |
Collapse
|
19
|
Cao Q, Li M, Qin G, Yan L, He J, Xu M, Xu Y, Wang T, Chen Y, Wang S, Lin H, Zhao Z, Gao Z, Zeng T, Hu R, Yu X, Chen G, Su Q, Mu Y, Chen L, Tang X, Wan Q, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Shi L, Ning G, Wang W, Lu J, Bi Y. Early adulthood weight change, midlife "Life's essential 8" health status and risk of cardiometabolic diseases: a chinese nationwide cohort study. Nutr Metab (Lond) 2023; 20:48. [PMID: 37915057 PMCID: PMC10621175 DOI: 10.1186/s12986-023-00765-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/04/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND The association between weight change during early adulthood and cardiometabolic diseases remains uncertain in Chinese population. Whether the association varies with comprehensive cardiovascular health (CVH) in midlife assessed by "Life's Essential 8" has not been characterized. We aim to examine the associations of early adulthood weight change and midlife "Life's Essential 8" CVH status with cardiometabolic outcomes in a Chinese cohort. METHODS The study participants were from the China Cardiometabolic Disease and Cancer Cohort (4 C) Study. This analysis included 72,610 middle-aged and older participants followed for a median of 3.6 years. At baseline, the participants recalled body weight at age 20 and 40 years, and we calculated change in weight and BMI between 20 and 40 years of age. Health behaviors information in "Life's Essential 8" was collected by questionnaire, and health factors were measured in the study center. During follow-up, we ascertained incident cardiovascular events based on medical records, and diagnosed incident diabetes according to the American Diabetes Association 2010 criteria. RESULTS 72,610 study participants were included with a mean age of 56.0 ± 8.8 years and 29% of them were males. Weight gain of more than 10 kg between 20 and 40 years of age was associated with 22% increased risk of incident cardiovascular events (HR: 1.22; 95%CI: 1.04-1.43) and 38% increased risk of diabetes (HR: 1.38; 95%CI: 1.25-1.53) compared to stable weight. Besides, the association of weight gain more than 10 kg in early adulthood with cardiometabolic risk was even stronger in those with low CVH score in midlife (HR: 2.44; 95%CI: 2.01-2.97 for incident cardiovascular events; HR: 2.20; 95%CI: 1.90-2.55 for incident diabetes) or with few ideal cardiovascular health metrics in midlife. CONCLUSIONS Our study indicated that weight gain in early adulthood was associated with significantly increased risk of cardiometabolic diseases. And the association could be stronger in those with poor CVH profiles in midlife. These findings confirmed the significance of weight management during early adulthood and suggested that individuals who experienced substantial weight gain in early life should be encouraged to maintain good CVH status in Chinese population.
Collapse
Grants
- 21QA1408100 Shanghai Rising-Star Program
- 2022ZD0162102 National Key Research and Development Program of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 22Y31900300 Shanghai Municipal People's Government
- Shanghai Municipal People’s Government
Collapse
Affiliation(s)
- Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, USA
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Qing Su
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese people's Liberation Army General Hospital, Beijing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Lixin Shi
- Guiqian International General Hospital, Guiyang, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
20
|
Wang Y, Liu H, Hu X, Wang A, Wang A, Kang S, Zhang L, Gu W, Dou J, Mu Y, Chen K, Wang W, Lyu Z. Association between hemoglobin glycation index and 5-year major adverse cardiovascular events: the REACTION cohort study. Chin Med J (Engl) 2023; 136:2468-2475. [PMID: 37265382 PMCID: PMC10586840 DOI: 10.1097/cm9.0000000000002717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
Collapse
Affiliation(s)
- Yuhan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Hongzhou Liu
- Department of Endocrinology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiaodong Hu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anning Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Shaoyang Kang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Lingjing Zhang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weiqing Wang
- Department of Endocrinology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai 200025, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
21
|
Pei Y, Ke W, Lu J, Lin Y, Zhang Z, Peng Y, Bi Y, Li Y, Hou J, Zhang X, Chen X, Treminio Y, Lee SW, Shin J, Rhinehart AS, Vigersky RA, Mu Y. Safety Event Outcomes and Glycemic Control with a Hybrid Closed-Loop System Used by Chinese Adolescents and Adults with Type 1 Diabetes Mellitus. Diabetes Technol Ther 2023; 25:718-725. [PMID: 37578804 DOI: 10.1089/dia.2023.0234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background: While evidence supports glycemic control benefits for individuals with type 1 diabetes mellitus (T1DM) using hybrid closed-loop (HCL) systems, HCL automated insulin delivery therapy in China has not been assessed. This study evaluated safety events and effectiveness during HCL system use by Chinese adolescents and adults with T1DM. Methods: Sixty-two participants (n = 12 adolescents with a mean ± standard deviation [SD] of 15.5 ± 1.1 years and n = 50 adults [mean ± SD of 37.6 ± 11.1 years]) with T1DM and baseline A1C of 7.1% ± 1.0% underwent a run-in period (∼2 weeks) using open-loop Manual Mode (sensor-augmented pump) insulin delivery with the MiniMed™ 770G system with the Guardian™ Sensor (3) glucose sensor, followed by a study period (4 weeks) with HCL Auto Mode enabled. Analyses compared continuous glucose monitoring data and insulin delivered during the run-in versus study period (Wilcoxon signed-rank test or t-test). Safety events included rates of severe hypoglycemia and diabetic ketoacidosis (DKA). Results: Compared to baseline run-in, overall Auto Mode use increased time in range (TIR, 70-180 mg/dL) from 75.3% to 80.9% (P < 0.001) and reduced time below range (TBR, <70 mg/dL) from 4.7% to 2.2% (P < 0.001). Subgroup analysis demonstrated that participants (n = 29) with baseline A1C <7.0% had TBR that reduced from 5.6% to 2.0%, while participants (n = 21) with baseline A1C ≥7.5% had time above range (TAR, >180 mg/dL) that reduced from 31.6% to 20.8%. Auto Mode use also increased the percentage achieving combined recommendations for time at sensor glucose ranges (i.e., TIR of >70%, TBR of <4% and TAR of <25%) from 24.2% at baseline to 77.4% at study end. Total daily insulin dose reduced from 42.8 ± 19.8 to 40.7 ± 18.9 U (P = 0.013). There were no severe hypoglycemic, DKA, or serious adverse events. Conclusions: Chinese adolescents and adults, some of whom met target A1C at baseline, safely achieved significantly improved glycemia with 1 month of MiniMed 770G system use when compared to open-loop insulin delivery. ClinicalTrials.gov ID: NCT04663295.
Collapse
Affiliation(s)
- Yu Pei
- Chinese PLA General Hospital, Beijing, China
| | - Weijian Ke
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing Lu
- Nanjing Drum Tower Hospital, Nanjing, China
| | - Yi Lin
- Shanghai General Hospital, Shanghai, China
| | | | | | - Yan Bi
- Nanjing Drum Tower Hospital, Nanjing, China
| | - Yanbing Li
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | | | | | | | | | | | - John Shin
- Medtronic, Northridge, California, USA
| | | | | | - Yiming Mu
- Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
22
|
Wang Y, Liu H, Wang J, Hu X, Wang A, Chen K, Wang A, Zang L, Cheng Y, Gu W, Dou J, Mu Y, Du J, Lyu Z. The association between brachial-ankle pulse-wave velocity and adverse cardiovascular events in 5719 community participants a prospective cohort study. J Hypertens 2023; 41:1411-1419. [PMID: 37334543 DOI: 10.1097/hjh.0000000000003481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
BACKGROUND The brachial-ankle pulse-wave velocity (baPWV) is regarded as the gold standard in the evaluation of arterial stiffness. Its prognostic significance for major adverse cardiovascular events (MACE) has been demonstrated. However, the factors influencing the association between baPWV and MACE risk have not been determined. In this study, we investigated the association of baPWV and MACE risk and whether it is affected by the risk factors for different cardiovascular diseases (CVDs). METHODS This was a prospective cohort study that initially enrolled 6850 participants from 12 communities in Beijing. The participants were divided into three subgroups according to their baPWV values. The primary outcome was the first occurrence of MACE, defined as hospitalization from cardiovascular diseases, first occurrence of a nonfatal myocardial infarction, or nonfatal stroke. Cox proportional hazards regression and restricted cubic spline analyses were used to examine the association between baPWV and MACE. The effect of CVD risk factors on the relationship between baPWV and MACE was explored in subgroup analyses. RESULTS The final study population consisted of 5719 participants. During a median follow-up of 34.73 months, MACE occurred in 169 participants. The restricted cubic spline analysis indicated a positive linear relationship between baPWV and MACE risk. After adjustment for cardiovascular risk factors, the hazard ratio (HR) for MACE risk per SD increase in baPWV was 1.272 [95% confidence interval (CI): 1.149-1.407, P < 0.001], and the HR for MACE in the high-baPWV vs. the low-baPWV group was 1.965 (95% CI: 1.296-2.979, P = 0.001). Adding baPWV to the conventional cardiovascular risk factors significantly improved the model's prediction performance and the net reclassification (NRI) [NRI: 0.379 (95% CI: 0.072-0.710), P = 0.025] in MACE discrimination. However, in the subgroup analysis, two CVD risk factors, stable coronary heart disease and hypertension, showed significant interaction effects ( Pinteraction both < 0.05). This result indicated that the effect of CVD risk factors must be taken into account when assessing the relationship between baPWV and MACE. CONCLUSION baPWV is a potential marker to improve the identification of MACE risk in the general population. A positive linear correlation was firstly determined between baPWV and MACE risk, but it may not be valid in participants with stable coronary heart disease and hypertension.
Collapse
Affiliation(s)
- Yuhan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Xicheng District
| | - Hongzhou Liu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
- Department of Endocrinology, Aerospace Center Hospital, Haidian District, Beijing, China
| | - Jincheng Wang
- Department of Epidemiology, The George Washington University, Washington, DC, USA
| | - Xiaodong Hu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Anning Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Li Zang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Yu Cheng
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Jin Du
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| |
Collapse
|
23
|
Lingvay I, Asong M, Desouza C, Gourdy P, Kar S, Vianna A, Vilsbøll T, Vinther S, Mu Y. Once-Weekly Insulin Icodec vs Once-Daily Insulin Degludec in Adults With Insulin-Naive Type 2 Diabetes: The ONWARDS 3 Randomized Clinical Trial. JAMA 2023; 330:228-237. [PMID: 37354562 PMCID: PMC10354685 DOI: 10.1001/jama.2023.11313] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/06/2023] [Indexed: 06/26/2023]
Abstract
Importance Once-weekly insulin icodec could provide a simpler dosing alternative to daily basal insulin in people with type 2 diabetes. Objective To evaluate the efficacy and safety of once-weekly icodec vs once-daily insulin degludec in people with insulin-naive type 2 diabetes. Design, Setting, and Participants Randomized, double-masked, noninferiority, treat-to-target, phase 3a trial conducted from March 2021 to June 2022 at 92 sites in 11 countries in adults with type 2 diabetes treated with any noninsulin glucose-lowering agents with hemoglobin A1c (HbA1c) of 7%-11% (53-97 mmol/mol). Interventions Participants were randomly assigned in a 1:1 ratio to receive either once-weekly icodec and once-daily placebo (icodec group; n = 294) or once-daily degludec and once-weekly placebo (degludec group; n = 294). Main Outcomes and Measures The primary end point was change in HbA1c from baseline to week 26 (noninferiority margin, 0.3% percentage points). Secondary end points included change in fasting plasma glucose from baseline to week 26, mean weekly insulin dose during the last 2 weeks of treatment, body weight change from baseline to week 26, and number of level 2 (clinically significant; glucose level <54 mg/dL) and level 3 (severe; requiring external assistance for recovery) hypoglycemic episodes. Results Among 588 randomized participants (mean [SD] age, 58 [10] years; 219 [37%] women), 564 (96%) completed the trial. Mean HbA1c level decreased from 8.6% (observed) to 7.0% (estimated) at 26 weeks in the icodec group and from 8.5% (observed) to 7.2% (estimated) in the degludec group (estimated treatment difference [ETD], -0.2 [95% CI, -0.3 to -0.1] percentage points), confirming noninferiority (P < .001) and superiority (P = .002). There were no significant differences between the icodec and degludec groups for fasting plasma glucose change from baseline to week 26 (ETD, 0 [95% CI, -6 to 5] mg/dL; P = .90), mean weekly insulin dose during the last 2 weeks of treatment, or body weight change from baseline to week 26 (2.8 kg vs 2.3 kg; ETD, 0.46 [95% CI, -0.19 to 1.10] kg; P = .17). Combined level 2 or 3 hypoglycemia rates were numerically higher in the icodec group than the degludec group from week 0 to 31 (0.31 vs 0.15 events per patient-year exposure; P = .11) and statistically higher in the icodec group from week 0 to 26 (0.35 vs 0.12 events per patient-year exposure; P = .01). Conclusions and Relevance Among people with insulin-naive type 2 diabetes, once-weekly icodec demonstrated superior HbA1c reduction to once-daily degludec after 26 weeks of treatment, with no difference in weight change and a higher rate of combined level 2 or 3 hypoglycemic events in the context of less than 1 event per patient-year exposure in both groups. Trial Registration ClinicalTrials.gov Identifier: NCT04795531.
Collapse
Affiliation(s)
- Ildiko Lingvay
- Division of Endocrinology, Department of Internal Medicine and Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas
| | | | - Cyrus Desouza
- University of Nebraska Medical Center, Omaha, Nebraska
| | - Pierre Gourdy
- CHU de Toulouse & UMR1297/I2MC, Inserm, Université Toulouse 3, Toulouse, France
| | - Soumitra Kar
- Novo Nordisk Service Centre India Private Ltd, Bangalore, India
| | - André Vianna
- Curitiba Diabetes Centre, Department of Endocrine Diseases, Hospital Nossa Senhora das Graças, Curitiba, Brazil
| | - Tina Vilsbøll
- Clinical Research, Steno Diabetes Center Copenhagen, University of Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| |
Collapse
|
24
|
Liu Y, Liu C, Wang Y, Li S, Li X, Liu X, Wang B, Pei Z, Li L, Lin L, Qu J, Chen K, Zang L, Gu W, Mu Y, Lyu Z, Dou J, Gao Z. Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Normotensive Pheochromocytoma. J Clin Endocrinol Metab 2023; 108:1657-1665. [PMID: 36655387 DOI: 10.1210/clinem/dgad024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 01/20/2023]
Abstract
CONTEXT Intraoperative hemodynamic instability (HI) deteriorates surgical outcomes of patients with normotensive pheochromocytoma (NP). OBJECTIVE To characterize the hemodynamics of NP and develop and externally validate a prediction model for intraoperative HI. METHODS Data on 117 patients with NP (derivation cohort) and 40 patients with normotensive adrenal myelolipoma (NAM) who underwent laparoscopic adrenalectomy from January 2011 to November 2021 were retrospectively collected. Data on 22 patients with NP (independent validation cohort) were collected from another hospital during the same period. The hemodynamic characteristics of patients with NP and NAM were compared. Machine learning models were used to identify risk factors associated with HI. The final model was visualized via a nomogram. RESULTS Forty-eight (41%) out of 117 patients experienced HI, which was significantly more than that for NAM. A multivariate logistic regression including age, tumor size, fasting plasma glucose, and preoperative systolic blood pressure showed good discrimination measured by area under curve (0.8286; 95% CI 0.6875-0.9696 and 0.7667; 95% CI 0.5386-0.9947) for predicting HI in internal and independent validation cohorts, respectively. The sensitivities and positive predictive values were 0.6667 and 0.7692 for the internal and 0.9167 and 0.6111 for the independent validations, respectively. The final model was visualized via a nomogram and yielded net benefits across a wide range of risk thresholds in decision curve analysis. CONCLUSION Patients with NP experienced HI during laparoscopic adrenalectomy. The nomogram can be used for individualized prediction of intraoperative HI in patients with NP.
Collapse
Affiliation(s)
- Yingshu Liu
- Dalian Medical University, Dalian, Liaoning 116044, China
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Chao Liu
- Yidu Cloud Technology Inc., Beijing 100083, China
| | - Yao Wang
- Yidu Cloud Technology Inc., Beijing 100083, China
| | - Shen Li
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Xinyu Li
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Xuhan Liu
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Bing Wang
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Zuowei Pei
- Department of Cardiology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| | - Linfeng Li
- Yidu Cloud Technology Inc., Beijing 100083, China
| | - Lu Lin
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jianchang Qu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Li Zang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Zhengnan Gao
- Dalian Medical University, Dalian, Liaoning 116044, China
- Department of Endocrinology, Central Hospital of Dalian University of Technology, Dalian 116033, China
| |
Collapse
|
25
|
Zhao Z, Cao Q, Lu J, Lin H, Gao Z, Xu M, Xu Y, Wang T, Li M, Chen Y, Wang S, Zeng T, Hu R, Yu X, Chen G, Su Q, Mu Y, Chen L, Tang X, Yan L, Qin G, Wan Q, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Shi L, Ning G, Wang W, Bi Y. Association of Spousal Diabetes Status and Ideal Cardiovascular Health Metrics With Risk of Incident Diabetes Among Chinese Adults. JAMA Netw Open 2023; 6:e2319038. [PMID: 37351887 PMCID: PMC10290251 DOI: 10.1001/jamanetworkopen.2023.19038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/03/2023] [Indexed: 06/24/2023] Open
Abstract
Importance Spouses share common socioeconomic, environmental, and lifestyle factors, and multiple studies have found that spousal diabetes status was associated with diabetes prevalence. But the association of spousal diabetes status and ideal cardiovascular health metrics (ICVHMs) assessed by the American Heart Association's Life's Essential 8 measures with incident diabetes has not been comprehensively characterized, especially in large-scale cohort studies. Objective To explore the association of spousal diabetes status and cardiovascular health metrics with risk of incident diabetes in Chinese adults. Design, Setting, and Participants This cohort study included individuals in the China Cardiovascular Disease and Cancer Cohort without diabetes who underwent baseline and follow-up glucose measurements and had spouses with baseline glucose measurements. The data were collected in January 2011 to December 2012 and March 2014 to December 2016. The spousal study had a mean (SD) follow-up of 3.6 (0.9) years (median [IQR], 3.2 [2.9-4.5] years). Statistical analysis was performed from July to November 2022. Exposure Spousal diabetes status was diagnosed according to the 2010 American Diabetes Association (ADA) criteria. All participants provided detailed clinical, sociodemographic, and lifestyle information included in cardiovascular health metrics. Main Outcomes and Measures Incident diabetes, diagnosed according to 2010 ADA criteria. Results Overall, 34 821 individuals were included, with a mean (SD) age of 56.4 (8.3) years and 16 699 (48.0%) male participants. Spousal diabetes diagnosis was associated with an increased risk of incident diabetes (hazard ratio [HR], 1.15; 95% CI, 1.03-1.30). Furthermore, participants whose spouses had uncontrolled glycated hemoglobin (HbA1c) had a higher risk of diabetes (HR, 1.20; 95% CI, 1.04-1.39) but the risk of diabetes in participants whose spouses had controlled HbA1c did not increase significantly (HR, 1.10; 95% CI, 0.92-1.30). Moreover, this association varied with composite cardiovascular health status. Diabetes risk in individuals who had poor cardiovascular health status (<4 ICVHMs) was associated with spousal diabetes status (3 ICVHMs: HR, 1.50; 95% CI, 1.15-1.97), while diabetes risk in individuals who had intermediate to ideal cardiovascular health status (≥4 ICVHMs) was not associated with it (4 ICVHMs: HR, 1.01; 95% CI, 0.69-1.50). Conclusions and Relevance In this study, spousal diabetes diagnosis with uncontrolled HbA1c level was associated with increased risk of incident diabetes, but strict management of spousal HbA1c level and improving ICVHM profiles may attenuate the association of spousal diabetes status with diabetes risk. These findings suggest the potential benefit of couple-based lifestyle or pharmaceutical interventions for diabetes.
Collapse
Affiliation(s)
- Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People’s Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Lixin Shi
- Guiqian International General Hospital, Guiyang, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
26
|
Yu H, Wang Y, Li Y, Du J, Guo Q, Gu W, Lyu Z, Dou J, Mu Y, Zang L. Analysis of characteristics of four patients with adrenal unicentric Castleman disease. Front Endocrinol (Lausanne) 2023; 14:1181929. [PMID: 37265694 PMCID: PMC10230092 DOI: 10.3389/fendo.2023.1181929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/03/2023] [Indexed: 06/03/2023] Open
Abstract
Background Castleman Disease (CD) is a group of diseases with characteristic lymph node histopathology, characterized by marked enlargement of deep or superficial lymph nodes. Adrenal CD is rarely reported, and an accurate preoperative diagnosis of adrenal CD is difficult. Method We report four cases of CD in the adrenal gland confirmed by pathology and review the characteristics of this rare disease, highlighting the necessity of diagnostic evaluation and follow-up of the patients. Results All of the patients sought medical advice because of adrenal incidentalomas. No significant abnormalities were presented in the biochemistry or endocrine systems. The imaging suggested a moderate-to-large mass with uneven moderate contrast enhancement of the adrenal region, similar to a pheochromocytoma. All cases were misdiagnosed as pheochromocytomas before operation and finally confirmed by histopathology. Three cases were pathologically diagnosed as hyaline vascular CD, and one case was diagnosed as plasma cell CD. All the patients are alive without recurrence after a median follow-up of 8 years. Conclusion The adrenal CD should be considered after excluding pheochromocytoma and malignancy in the adrenal region. The long-term prognosis of patients with complete resection of the mass is excellent.
Collapse
Affiliation(s)
- Hao Yu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yuepeng Wang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology, General Hospital of Northern Theater Command, Shenyang, China
- School of Medicine, Nankai University, Tianjin, China
| | - Yijun Li
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jin Du
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qinghua Guo
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Li Zang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
27
|
Liu H, Wang G, Zhao J, Hu J, Mu Y, Gu W. Association of skin autofluorescence with depressive symptoms and the severity of depressive symptoms: The prospective REACTION study. Psychoneuroendocrinology 2023; 154:106285. [PMID: 37148715 DOI: 10.1016/j.psyneuen.2023.106285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/08/2023]
Abstract
AIM Millions of people are afflicted by depression, a highly prevalent mental illness with increased morbidity and mortality. Advanced glycation end-products (AGEs) are potential risk factors for depression. We aimed to investigate the correlation of AGEs with depressive symptoms and the severity of depressive symptoms. METHODS This study was nested in the prospective REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study and included 4420 eligible participants. skin autofluorescence (SAF) was used to measure skin AGEs. Depressive symptoms were evaluated by the Self-Rating Depression Scale (SDS). Multiple logistic regression analysis was used to assess the association of AGEs with depressive symptoms and the severity of depressive symptoms. RESULTS Logistic analysis showed a significantly positive relationship between quartiles of SAF-AGEs and the risk of depressive symptoms with the OR [95% confidence interval (CI), p value] of 1.24 (95% CI: 1.03-1.50, p = 0.022), 1.39 (95% CI: 1.15-1.68, p = 0.001) and 1.57 (95% CI: 1.28-1.91, p < 0.001) for multivariable-adjusted model respectively. And SAF-AGEs were associated with the severity of depressive symptoms with the multivariable-adjusted OR (95% CI, p value) of 1.06 (95% CI:0.79-1.43, p = 0.681), 1.47 (95% CI: 1.08-1.99, p = 0.014), and 1.54 (95% CI: 1.12-2.11, p = 0.008) respectively. Stratified analyses showed that SAF-AGEs were significantly associated with the severity of depressive symptoms only in females, overweight people, individuals with hypertension, and those without diabetes and insomnia. CONCLUSIONS The present study showed that a higher SAF-AGEs level was associated with depressive symptoms and the severity of depressive symptoms.
Collapse
Affiliation(s)
- Hongyan Liu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Guoqi Wang
- Department of Pediatrics, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Jian Zhao
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Jia Hu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
| |
Collapse
|
28
|
Zheng R, Xu Y, Li M, Gao Z, Wang G, Hou X, Chen L, Huo Y, Qin G, Yan L, Wan Q, Zeng T, Chen L, Shi L, Hu R, Tang X, Su Q, Yu X, Qin Y, Chen G, Gu X, Shen F, Luo Z, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Mu Y, Zhao J, Hu C, Jia X, Xu M, Wang T, Zhao Z, Wang S, Lin H, Ning G, Wang W, Lu J, Bi Y. Data-driven subgroups of prediabetes and the associations with outcomes in Chinese adults. Cell Rep Med 2023; 4:100958. [PMID: 36863337 PMCID: PMC10040373 DOI: 10.1016/j.xcrm.2023.100958] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/11/2022] [Accepted: 02/04/2023] [Indexed: 03/04/2023]
Abstract
Prediabetes and its pathophysiology remain important issues. We aimed to examine the cluster characteristics of prediabetes and explore their associations with developing diabetes and its complications based on 12 variables representing body fat, glycemic measures, pancreatic β cell function, insulin resistance, blood lipids, and liver enzymes. A total of 55,777 individuals with prediabetes from the China Cardiometabolic Disease and Cancer Cohort (4C) were classified at baseline into six clusters. During a median of 3.1 years of follow-up, significant differences in the risks of diabetes and its complications between clusters were observed. The odds ratios of diabetes stepwisely increase from cluster 1 to cluster 6. Clusters 1, 4, and 6 have increased chronic kidney diseases risks, while the prediabetes in cluster 4, characterized by obesity and insulin resistance, confers higher risks of cardiovascular diseases compared with others. This subcategorization has potential value in developing more precise strategies for targeted prediabetes prevention and treatment.
Collapse
Affiliation(s)
- Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Xinguo Hou
- Qilu Hospital of Shandong University, Jinan, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Xuejiang Gu
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | | |
Collapse
|
29
|
Niu J, Zhang X, Li M, Wu S, Zheng R, Chen L, Huo Y, Xu M, Wang T, Zhao Z, Wang S, Lin H, Qin G, Yan L, Wan Q, Chen L, Shi L, Hu R, Tang X, Su Q, Yu X, Qin Y, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Mu Y, Zhao J, Bi Y, Ning G, Wang W, Lu J, Xu Y. Risk of cardiovascular disease, death, and renal progression in diabetes according to albuminuria and estimated glomerular filtration rate. Diabetes Metab 2023; 49:101420. [PMID: 36640827 DOI: 10.1016/j.diabet.2023.101420] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 01/01/2023] [Accepted: 01/05/2023] [Indexed: 01/13/2023]
Abstract
AIM We aimed to examine risks of major cardiovascular events (MACEs), renal outcomes, and all-cause mortality in type 2 diabetes mellitus (T2DM) patients with different diabetic kidney disease (DKD) subtypes. METHODS A total of 36,509 participants with T2DM recruited from 20 community sites across mainland China were followed up during 2011-2016. DKD subtypes were categorized based on albuminuria (urinary albumin-to-creatinine ratio, UACR ≥ 30 mg/g) and reduced estimated glomerular filtration rate (eGFR < 60 ml/min/1.73 m2) as Alb-/eGFR-, Alb+/eGFR-, Alb-/eGFR+, and Alb+/eGFR+. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) of developing clinical outcomes in DKD subtypes. RESULTS More than half (53.5%) of participants with diabetes and reduced eGFR had normal UACR levels (Alb-/eGFR+), termed as non-albuminuria DKD. These patients had a modest increase in the risks of MACEs (hazard ratio, HR 1.42 [95% CI 1.08;1.88]) and mortality (HR 1.42 [1.04;1.92]) compared with patients without DKD, whereas CKD progression was not significantly increased (HR 0.97 [0.60;1.57]). Participants with albuminuria (Alb+/eGFR- or Alb+/eGFR+) had higher risks of clinical outcomes. Subgroup analysis revealed that the associations between non-albuminuria DKD and risks of MACEs and mortality were more evident in those aged <65 years. CONCLUSION Non-albuminuria DKD accounts for more than half of DKD cases with low eGFR in Chinese diabetes patients. Diabetes patients with albuminuria are at higher risks of developing clinical outcomes and warrant early intervention, as well as patients with non-albuminuria DKD with age < 65 years.
Collapse
Affiliation(s)
- Jingya Niu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Xiaoyun Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shujing Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi People's Hospital, Nanchang, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | | |
Collapse
|
30
|
Zhu J, Han J, Liu L, Liu Y, Xu W, Li X, Yang L, Gu Y, Tang W, Shi Y, Ye S, Hua F, Xiang G, Liu M, Sun Z, Su Q, Li X, Li Y, Li Y, Li H, Li Y, Yang T, Yang J, Shi L, Yu X, Chen L, Shao J, Liang J, Han X, Xue Y, Ma J, Zhu D, Mu Y. Clinical expert consensus on the assessment and protection of pancreatic islet β-cell function in type 2 diabetes mellitus. Diabetes Res Clin Pract 2023; 197:110568. [PMID: 36738836 DOI: 10.1016/j.diabres.2023.110568] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/08/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
Islet β-cell dysfunction is a basic pathophysiological characteristic of type 2 diabetes mellitus (T2DM). Appropriate assessment of islet β-cell function is beneficial to better management of T2DM. Protecting islet β-cell function is vital to delay the progress of type 2 diabetes mellitus. Therefore, the Pancreatic Islet β-cell Expert Panel of the Chinese Diabetes Society and Endocrinology Society of Jiangsu Medical Association organized experts to draft the "Clinical expert consensus on the assessment and protection of pancreatic islet β-cell function in type 2 diabetes mellitus." This consensus suggests that β-cell function can be clinically assessed using blood glucose-based methods or methods that combine blood glucose and endogenous insulin or C-peptide levels. Some measures, including weight loss and early and sustained euglycemia control, could effectively protect islet β-cell function, and some newly developed drugs, such as Sodium-glucose cotransporter-2 inhibitor and Glucagon-like peptide-1 receptor agonists, could improve islet β-cell function, independent of glycemic control.
Collapse
Affiliation(s)
- Jian Zhu
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Junfeng Han
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Liehua Liu
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yu Liu
- Endocrinology Department, Sir Run Run Hospital of Nanjing Medical University, Nanjing, China
| | - Wen Xu
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaomu Li
- Department of Endocrine and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lin Yang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yong Gu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Tang
- Department of Endocrinology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Yongquan Shi
- Department of Endocrinology, Changzheng Hospital, The Navy Military Medical University, Shanghai, China
| | - Shandong Ye
- Department of Endocrinology, Anhui Provincial Hospital, Hefei, China
| | - Fei Hua
- Department of Endocrinology, The First People's Hospital of Changzhou, Changzhou, China
| | - Guangda Xiang
- Department of Endocrinology, General Hospital of Central Theater Command of Chinese People' s Liberation Army, Wuhan, China
| | - Ming Liu
- Department of Endocrinology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Xiaoying Li
- Department of Endocrine and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuxiu Li
- Department of Endocrinology, Peking Union Medical College Hospital, Beijing, China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hong Li
- Department of Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yiming Li
- Department of Endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Tao Yang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Lixin Shi
- Department of Endocrinology, Guiqian International General Hospital, Guiyang 550018, China
| | - Xuefeng Yu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, China
| | - Jiaqing Shao
- Department of Endocrinology, the Affiliated Jinling Hospital of Nanjing Medical University, General Hospital of Eastern Theater Command, Nanjing, China
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou, China
| | - Xiao Han
- Key Laboratory of Human Functional Genomics of Jiangsu Province, School of Basic Medical Science, Nanjing Medical University, Nanjing, China
| | - Yaomin Xue
- The First Clinical Medical Institute, Southern Medical University, Guangzhou, China
| | - Jianhua Ma
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
| | - Dalong Zhu
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China.
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
| |
Collapse
|
31
|
Li B, Zhou X, Wang W, Gao Z, Yan L, Qin G, Tang X, Wan Q, Chen L, Luo Z, Ning G, Mu Y. Remnant cholesterol is independently associated with diabetes, even if the traditional lipid is at the appropriate level: A report from the REACTION study. J Diabetes 2023; 15:204-214. [PMID: 36740459 PMCID: PMC10036259 DOI: 10.1111/1753-0407.13362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/09/2023] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The association between remnant cholesterol (RC) and diabetes remains unclear because of limited study and data. This study attempted to explore the association between RC and diabetes in a large sample, multicenter general population. METHODS The current study included 36 684 participants from eight provinces across China. Subjects were quartered according to the RC quartile. Logistic regression analysis was used to evaluate the association between RC and diabetes. RESULTS After adjusting for potential confounding factors, RC was still significantly associated with diabetes (Q4: odds ratio [OR]:1.147, 95% confidence interval [CI]: 1.049-1.254, p = .003). In addition, RC and diabetes were still significantly associated when triglycerides (TG) were <1.7 mmol/L (Q4: OR: 1.155, 95% CI: 1.005-1.327, p = .042), low-density lipoprotein cholesterol (LDL-C) <3.4 mmol/L (Q4: OR: 1.130, 95% CI: 1.011-1.264, p = .032), or HDL-C (high-density lipoprotein cholesterol) ≥1.0 mmol/L (Q4: OR: 1.116, 95% CI: 1.007-1.237, p = .037). In the stratification analysis, elevated RC was significantly associated with diabetes in subjects with systolic blood pressure (SBP) <140 mm Hg and diastolic blood pressure (DBP) <90 mm Hg, 60 ≤ estimated glomerular filtration rate (eGFR) ≤90 ml/min per 1.73 m2 , younger than 55 years old and female. CONCLUSION In the Chinese community, RC is significantly correlated with diabetes, even when TG, LDL-C, or HDL-C were controlled within the appropriate range recommended by the guidelines.
Collapse
Affiliation(s)
- Binqi Li
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Xin Zhou
- Graduate SchoolChinese PLA General HospitalBeijingChina
- Department of Medical OncologyThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
- The Second Medical Center of Chinese PLA General HospitalBeijingChina
| | - Weiqing Wang
- Department of EndocrinologyRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhengnan Gao
- Department of EndocrinologyDalian Central HospitalDalianChina
| | - Li Yan
- Department of EndocrinologyZhongshan University Sun Yat‐sen Memorial HospitalGuangzhouChina
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xulei Tang
- Department of EndocrinologyFirst Hospital of Lanzhou UniversityLanzhouChina
| | - Qin Wan
- Department of EndocrinologySouthwest Medical University Affiliated HospitalLuzhouChina
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and TechnologyWuhanChina
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Guang Ning
- Department of EndocrinologyRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yiming Mu
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- Graduate SchoolChinese PLA General HospitalBeijingChina
| |
Collapse
|
32
|
Li B, Wang J, Zhou X, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Ning G, Mu Y. Lipid accumulation product is closely associated with hypertension and prehypertension in prediabetic population in China: results from the REACTION study. Hypertens Res 2023; 46:708-719. [PMID: 36513744 DOI: 10.1038/s41440-022-01113-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 12/15/2022]
Abstract
Prediabetes with hypertension or prehypertension increases the risk of cardiovascular events. Lipid accumulation product (LAP) is a powerful marker of visceral obesity. The current study aimed to explore the relationship between LAP and hypertension and prehypertension among prediabetic individuals. A total of 12,388 prediabetic participants from the REACTION study were recruited. LAP was calculated from waist circumference and fasting triglyceride levels. Multiple logistic regression models were conducted to assess the relationship between LAP and hypertension and prehypertension. Multiple logistic regression analysis showed that elevated LAP was associated with hypertension (Q2: odds ratio (OR): 1.263, P < 0.001; Q3: OR: 1.613, P < 0.001; Q4: OR: 1.754, P < 0.001) and prehypertension (Q2: OR: 1.255, P = 0.005; Q3: OR: 1.340, P = 0.002; Q4: OR: 1.765, P < 0.001). The results of the stratified analysis showed that prediabetic people with higher LAP levels and characterized by overweight, normal weight and a high waist-to-hip ratio (WHR) were more likely to have hypertension, and prediabetic people with higher LAP levels and characterized by overweight, normal weight, a high WHR, age <65, and low and high levels of physical activity were more likely to have prehypertension. In conclusion, visceral obesity assessed by LAP is significantly associated with hypertension and prehypertension in the Chinese prediabetic population.
Collapse
Affiliation(s)
- Binqi Li
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China.,Department of Endocrinology, First Medical Center of PLA General Hospital, Beijing, China
| | - Jie Wang
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, P. R. China
| | - Xin Zhou
- Graduate School, Chinese PLA General Hospital, Beijing, China.,Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.,The Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weiqing Wang
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Central Hospital, Dalian, Liaoning, China
| | - Xulei Tang
- First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Li Yan
- Zhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China
| | - Qin Wan
- Southwest Medical University Affiliated Hospital, Luzhou, Sichuan, China
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guang Ning
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiming Mu
- School of Medicine, Nankai University, No. 94 Weijin Road, Tianjin, 300071, China. .,Department of Endocrinology, First Medical Center of PLA General Hospital, Beijing, China. .,Graduate School, Chinese PLA General Hospital, Beijing, China.
| |
Collapse
|
33
|
Wu S, Li M, Lu J, Tang X, Wang G, Zheng R, Niu J, Chen L, Huo Y, Xu M, Wang T, Zhao Z, Wang S, Lin H, Qin G, Yan L, Wan Q, Chen L, Shi L, Hu R, Su Q, Yu X, Qin Y, Chen G, Gao Z, Shen F, Luo Z, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Mu Y, Zhao J, Ning G, Bi Y, Wang W, Xu Y. Blood Pressure Levels, Cardiovascular Events, and Renal Outcomes in Chronic Kidney Disease Without Antihypertensive Therapy: A Nationwide Population-Based Cohort Study. Hypertension 2023; 80:640-649. [PMID: 36601917 DOI: 10.1161/hypertensionaha.122.19902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND High blood pressure (BP) is highly prevalent in patients with chronic kidney disease. However, the thresholds to initiate BP-lowering treatment in this population are unclear. We aimed to examine the associations between BP levels and clinical outcomes and provide evidence on potential thresholds to initiate BP-lowering therapy in people with chronic kidney disease. METHODS This nationwide, multicenter, prospective cohort study included 12 523 chronic kidney disease participants without antihypertensive therapy in mainland China. Participants were followed up during 2011 to 2016 for cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, hospitalized or treated heart failure, and cardiovascular death) and renal events (≥20% decline in the estimated glomerular filtration rate, end-stage kidney disease, and renal death). RESULTS Overall, 652 cardiovascular events and 1268 renal events occurred during 43 970 person-years of follow-up. We observed a positive and linear relationship between systolic BP and risks of cardiovascular and renal events down to 90 mm Hg, as well as between diastolic BP and risks of renal events down to 50 mm Hg. A J-shaped trend was noted between diastolic BP and risks of cardiovascular events, but a linear relationship was revealed in participants <60 years (P for interaction <0.001). A significant increase in the risk of cardiovascular and renal outcomes was observed at systolic BP ≥130 mm Hg (versus 90-119 mm Hg) and at diastolic BP ≥90 mm Hg (versus 50-69 mm Hg). CONCLUSIONS In people with chronic kidney disease, a higher systolic BP/diastolic BP level (≥130/90 mm Hg) is significantly associated with a greater risk of cardiovascular and renal events, indicating potential thresholds to initiate BP-lowering treatment.
Collapse
Affiliation(s)
- Shujing Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Xulei Tang
- The First Hospital of Lanzhou University, China (X.T.)
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China (G.W.)
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Jingya Niu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, China (J.N.)
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China (L.C.)
| | - Yanan Huo
- Jiangxi People's Hospital, Nanchang, China (Y.H.)
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, China (G.Q.)
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (L.Y.)
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China (Q.W.)
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (L.C.)
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, China (L.S.)
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China (R.H.)
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao-Tong University School of Medicine, China (Q.S.)
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.Y.)
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.Q., Z.L.)
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China (G.C.)
| | | | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, China (F.S.)
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.Q., Z.L.)
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, China (Y.Z.)
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China (C.L.)
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China (Y.W.)
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China (S.W.)
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, China (T.Y.)
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China (Q.L.)
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China (Y.M.)
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China (J.Z.)
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (S.W., M.L., J.L., R.Z., J.N., M.X., T.W., Z.Z., S.W., H.L., Y.C., G.N., Y.B., W.W., Y.X.)
| | | |
Collapse
|
34
|
Li Y, Yu D, Guo L, Mu Y, Wan H, Wang J, Xu B, Wang G, Jiang C, Liang L, Zhang J, Liu J, Zhang M, Cui N. Efficacy and safety of basal-first titration order in individuals with type 2 diabetes receiving short-term intensive insulin therapy: An exploratory analysis of BEYOND V. Diabetes Obes Metab 2023; 25:1221-1228. [PMID: 36594649 DOI: 10.1111/dom.14970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/04/2023]
Abstract
AIMS To present the results of an exploratory analysis of the BEYOND V study in which Chinese individuals with uncontrolled type 2 diabetes (T2D) received short-term intensive insulin therapy (SIIT) during study run-in (prior to randomization) using a basal-first insulin titration method. MATERIALS AND METHODS This was exclusively an exploratory analysis of the 7- to 10-day run-in period of BEYOND V. Participants were hospitalized and had oral therapies withdrawn (except metformin). They received SIIT with once-daily insulin glargine and three-times-daily premeal insulin glulisine, titrated daily from a total starting dose of 0.4 to 0.5 units/kg/d, first adjusting insulin glargine to achieve fasting blood glucose (FBG) of 4.4 to 6.1 mmol/L (79 to 119 mg/dL), then insulin glulisine to achieve pre-meal blood glucose of 4.4 to 6.1 mmol/L. Key outcomes were the proportions of participants achieving FBG and 2-hour postprandial blood glucose (PBG) targets. RESULTS Overall, 397 entered the run-in (mean 54.2 years, 235 males [59.2%]). At the end of SIIT, 374/396 participants (94.4%) had both FBG <7.0 mmol/L (<126 mg/dL) and 2-hour PBG <10 mmol/L (<180 mg/dL) and 282/396 (71.2%) had both FBG <6.1 mmol/L (<100 mg/dL) and 2-hour PBG <10 mmol/L. The mean first time taken to achieve FBG <7 mmol/L, 2-hour PBG <10 mmol/L, and both, was 4.35, 3.88, and 5.04 days, respectively. Hypoglycaemia occurred in 99 participants (24.9%). There was no severe hypoglycaemia. CONCLUSIONS Titrating basal insulin first is an effective and safe method of SIIT in individuals with T2D, rapidly achieving target glucose levels with a relatively low rate of hypoglycaemia.
Collapse
Affiliation(s)
- Yijun Li
- The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Dongni Yu
- Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Lixin Guo
- Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Yiming Mu
- The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | | | - Junfen Wang
- Second Hospital of Shijiazhuang, Shijiazhuang, China
| | - Binhua Xu
- Harbin the First Hospital, Harbin, China
| | - Guoping Wang
- Second Affiliated Hospital of Baotou Medical College, Baotou, China
| | | | - Li Liang
- People's Hospital of Liaoning Province, Shenyang, China
| | - Jiewen Zhang
- Medical Department, Sanofi Investment Co, Ltd., Shanghai, China
| | - Jingcheng Liu
- Medical Department, Sanofi Investment Co, Ltd., Shanghai, China
| | - Minlu Zhang
- Medical Department, Sanofi Investment Co, Ltd., Shanghai, China
| | - Nan Cui
- Medical Department, Sanofi Investment Co, Ltd., Shanghai, China
| |
Collapse
|
35
|
Zhang Y, Gao W, Ren R, Liu Y, Li B, Wang A, Tang X, Yan L, Luo Z, Qin G, Chen L, Wan Q, Gao Z, Wang W, Ning G, Mu Y. Body roundness index is related to the low estimated glomerular filtration rate in Chinese population: A cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1148662. [PMID: 37056676 PMCID: PMC10086436 DOI: 10.3389/fendo.2023.1148662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Kidney disease is related to visceral obesity. As a new indicator of obesity, body roundness index (BRI) has not been fully revealed with kidney disease. This study's objective is to assess the relationship between estimated glomerular filtration rate (eGFR) and BRI among the Chinese population. METHODS This study enrolled 36,784 members over the age of 40, they were from 7 centers in China by using a random sampling method. BRI was computed using height and waist circumference, eGFR ≤ 90 mL/min/1.73 m2 was considered to indicate low eGFR. To lessen bias, propensity score matching was employed, multiple logistic regression models were utilized to examine the connection between low eGFR and BRI. RESULTS The age, diabetes and coronary heart disease rates, fasting blood glucose, and triglycerides were all greater in participants with low eGFR. The BRI quartile was still positively connected with low eGFR after controlling for confounding variables, according to multivariate logistic regression analysis. (OR [95%CI] Q2:1.052 [1.021-1.091], OR [95%CI] Q3:1.189 [1.062-1.284], OR [95%CI] Q4:1.283 [1.181-1.394], P trend < 0.001). Stratified research revealed that the elders, women, habitual smokers, and those with a history of diabetes or hypertension experienced the connection between BRI level and low eGFR. According to ROC, BRI was able to detect low eGFR more accurately. CONCLUSION Low eGFR in the Chinese community is positively connected with BRI, which has the potential to be used as an effective indicator for screening kidney disease to identify high-risk groups and take appropriate measures to prevent subsequent complications.
Collapse
Affiliation(s)
- Yue Zhang
- Department of Endocrinology, the First Clinical Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
- Medical School of Chinese People’s Liberation Army, Beijing, China
| | - Wenxing Gao
- Medical School of Chinese People’s Liberation Army, Beijing, China
| | - Rui Ren
- Department of Endocrinology, the First Clinical Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
- Medical School of Chinese People’s Liberation Army, Beijing, China
| | - Yang Liu
- Department of Endocrinology, the First Clinical Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
- Medical School of Chinese People’s Liberation Army, Beijing, China
| | - Binqi Li
- Medical School of Chinese People’s Liberation Army, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Anping Wang
- Department of Endocrinology, the First Clinical Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Li Yan
- Zhongshan University Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Wuhan, Hubei, China
| | - Qin Wan
- Department of Endocrinology, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan, China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, Liaoning, China
| | - Weiqing Wang
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Department of Endocrinology, the First Clinical Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China
- *Correspondence: Yiming Mu,
| |
Collapse
|
36
|
Lin L, Wang A, Jia X, Wang H, He Y, Mu Y, Dou J. High hemoglobin glycation index is associated with increased risk of diabetes: A population-based cohort study in China. Front Endocrinol (Lausanne) 2023; 14:1081520. [PMID: 36909319 PMCID: PMC9999023 DOI: 10.3389/fendo.2023.1081520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 02/08/2023] [Indexed: 02/26/2023] Open
Abstract
PURPOSE The hemoglobin glycation index (HGI) quantifies the mismatch between glycated hemoglobin A1c and average glycemia among individuals. Currently, it is unknown the potential role of HGI in exhaustively evaluating the progression of glucose metabolism/the risk of developing diabetes mellitus. Therefore, this study aimed to investigate the association between HGI and the risk of incident diabetes. METHODS A total of 7,345 participants aged at least 40 years and without diabetes were divided into three groups according to the tertile of their baseline HGI level and followed for a median of 3.24 years to track new-onset diabetes. Using multivariate Cox regression analyses, we explored the association between the HGI, both categorized and continuous, and incident diabetes. RESULTS During follow-up, 742 subjects (263 males and 479 females) developed diabetes mellitus. Higher HGI was associated with an increased risk of diabetes, even when adjusted for confounding factors, and every standard deviation increase in HGI was associated with a significant risk increase of 30.6% for diabetes (hazard ratio 1.306, 95% confidence interval 1.232-1.384). CONCLUSIONS Participants with a higher HGI were at a higher risk of future diabetes, irrespective of their glycemic conditions. Consequently, HGI may be employed to identify individuals at high risk for diabetes.
Collapse
Affiliation(s)
- Lu Lin
- Department of Endocrinology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiaomeng Jia
- Center for Endocrine Metabolism and Immune Disease, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Haibin Wang
- Department of endocrinology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yan He
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Jingtao Dou,
| |
Collapse
|
37
|
Ding HM, Xu J, Wang F, Zhang Q, Pan H, Mu Y, Gu CR, Miao SX, Li XN, Ju HY, Wang L, Pan SY. [Differential diagnosis model of benign and malignant breast BI-RADS category 4 nodules based on serum SP70 and conventional laboratory indicators]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1774-1783. [PMID: 36536565 DOI: 10.3760/cma.j.cn112150-20220626-00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To develop a nomogram model for the differential diagnosis of benign and malignant breast BI-RADS (Breast Imaging Reporting and Data System) category 4 nodules based on serum tumor specific protein 70 (SP70) and conventional laboratory indicators and validate its predictive efficacy. Methods: A case-control study design was used to retrospectively analyze the data of 429 female patients diagnosed with BI-RADS category 4 breast nodules by breast color doppler flow imaging at the First Affiliated Hospital of Nanjing Medical University from January 2021 to April 2022 with an age range of 16 to 91 years and a median age of 50 years, and the patients were divided into a training cohort (314 patients) and a validation cohort (115 patients) according to the inclusion time successively. Using postoperative pathological findings as the"gold standard", univariate and multivariate logistic regression analyses were used to identify the predictor variables used for the model. The nomogram, receiver operating characteristic (ROC) curves and calibration curves were drawn for the prediction model, and the discrimination and calibration of the model were evaluated using the consistency index (C-index) and calibration plots. Results: The postoperative pathological results showed that 286 (66.7%) were malignant nodules and 143 (33.3%) were benign nodules of 429 breast BI-RADS category 4 nodules. The serum SP70 (OR=1.227,95%CI: 1.033-1.458,P=0.020), NLR (OR=1.545,95%CI: 1.047-2.280,P=0.028), LDL-C (OR=2.215, 95%CI: 1.354-3.622, P=0.002), GLU (OR=2.050,95%CI:1.222-3.438,P=0.007), PT (OR=1.383,95%CI: 1.046-1.828,P=0.023), nodule diameter (OR=1.042, 95%CI: 1.008-1.076, P=0.015) and age (OR=1.062,95%CI: 1.011-1.116,P=0.016) were independent risk factors which could be used to distinguish benign and malignant breast BI-RADS category 4 nodules (P<0.05). The nomogram was plotted by the above seven independent variables, and the concordance index (C-index) for the training cohort and validation cohort were 0.842 (95%CI:0.786-0.898) and 0.787 (95%CI:0.687-0.886), respectively. The sensitivity and specificity of using this model to identify benign and malignant breast BI-RADS category 4 nodules in the training and validation cohort were 83.5%, 72.5% and 79.2%, 73.6%, respectively. The calibration curves showed good agreement between the predicted and actual values in the nomogram. Conclusions: This study combined serum SP70, conventional laboratory indicators and breast color doppler flow imaging to develop a nomogram model for the differential diagnosis of benign and malignant breast BI-RADS category 4 nodules. The model may have good predictive efficacy and may provide a basis for clinical treatment options, which is beneficial for guiding breast cancer screening and prevention.
Collapse
Affiliation(s)
- H M Ding
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - J Xu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - F Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - Q Zhang
- Health Promotion Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H Pan
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Y Mu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - C R Gu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - S X Miao
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - X N Li
- Health Promotion Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H Y Ju
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - L Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| | - S Y Pan
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Branch of National Clinical Research Center for Laboratory Medicine, Nanjing 210029, China
| |
Collapse
|
38
|
He L, Yang H, Sun J, Zhai L, Ji J, Ma X, Tang D, Mu Y, Wang L, Iqbal Z, Yang Z. Synthesis and β-Lactamase Inhibition Activity of Diazabicyclooctane Derivatives in Combination with Imipenem. RUSS J GEN CHEM+ 2022. [DOI: 10.1134/s1070363222120428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
|
39
|
Li B, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Ning G, Mu Y. A novel index, Chinese visceral adiposity index is closely associated with urinary albumin-creatinine ratio in Chinese community adults, especially in hypertensive or hyperglycemic population: Results from the REACTION study. J Diabetes 2022; 14:792-805. [PMID: 36446626 PMCID: PMC9789393 DOI: 10.1111/1753-0407.13336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The association between the Chinese Visceral Adiposity Index (CVAI) and urinary albumin to creatinine ratio (UACR) has not been illustrated. The current study aimed to investigate the association between CVAI and UACR and to compare the discriminative power of CVAI, triglyceride, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with UACR in the Chinese community population. METHODS This study included 34 732 participants from the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. Binary logistic regression analyses were performed to detect the association between CVAI, triglyceride, BMI, WC, WHR and UACR. RESULTS Binary logistic regression analysis showed that, after adjusting for potential confounders, in women, CVAI (odds ratio [OR]:1.16, 95% confidence interval [CI]: 1.01-1.34) and triglyceride (OR: 1.18, 95% CI: 1.04-1.33) were associated with UACR, whereas BMI, WC, and WHR were not associated with UACR; in men, CVAI (OR: 1.24, 95% CI: 1.02-1.50), WC (OR: 1.21, 95% CI 1.00-1.48), and triglycerides (OR: 1.18, 95% CI 0.97-1.44) were associated with UACR, whereas BMI and WHR were not associated with UACR. Stratified analysis showed that the correlation between CVAI and UACR was stronger in the population with 5.6 ≤ fasting blood glucose (FBG) <7.0 or 7.8 ≤ post-load blood glucose (PBG) <11.1 mmol/L, FBG ≥7.0 or PBG ≥11.1, systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg. CONCLUSIONS In the Chinese general population, CVAI and UACR were significantly associated in both genders. At higher CVAI levels, the population with prediabetes, diabetes, and hypertension has a more significant association between CVAI and UACR.
Collapse
Affiliation(s)
- Binqi Li
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyFirst Medical Center of PLA General HospitalBeijingChina
| | - Weiqing Wang
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiaotong University School of MedicineShanghaiChina
| | | | - Xulei Tang
- First Hospital of Lanzhou UniversityLanzhouGansuChina
| | - Li Yan
- Zhongshan University Sun Yat‐sen Memorial HospitalGuangzhouGuangdongChina
| | - Qin Wan
- Southwest Medical University Affiliated HospitalLuzhouSichuanChina
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Guang Ning
- Shanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiaotong University School of MedicineShanghaiChina
| | - Yiming Mu
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyFirst Medical Center of PLA General HospitalBeijingChina
| |
Collapse
|
40
|
Wang J, Qi Y, Xin Z, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Xu Y, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wu S, Chen Y, Lu J, Wang W, Ning G, Bi Y, Li M. Isotemporal substitution of different behaviour patterns with the presence of MAFLD in Chinese adults. Liver Int 2022; 42:2683-2695. [PMID: 36166316 DOI: 10.1111/liv.15439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 09/13/2022] [Accepted: 09/21/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Lack of physical activity and excessive sitting time contributed to ectopic fat accumulation, especially in the liver. Previous studies have illustrated the harm of sedentary behaviour and the benefits of physical activity on fatty liver disease. We aimed to explore the association between the behaviour patterns and the risk of metabolic dysfunction-associated fatty liver disease (MAFLD) using isotemporal substitution model to examine the effect of replacing one behaviour to another while keeping the total time and other behaviours fixed among Chinese middle-aged and elderly population. METHODS This study included 161 147 participants aged ≥40 years old from the nationwide, population-based cohort of the REACTION study. The International Physical Activity Questionnaire was used to measure self-reported time for sleeping, sitting, walking and moderate-to-vigorous physical activity (MVPA). MAFLD was defined by evidence of fatty liver index (FLI) ≥ 60 in addition to one of the following three patterns, namely overweight/obesity, presence of diabetes, or evidence of metabolic dysregulation. Isotemporal substitution models using logistic regression models to evaluate the association of replacement of different behaviour patterns with each other and the risk of MAFLD. RESULTS Substitution of 60 minutes per day of sleeping, walking or total MVPA for sitting was associated with a 2%-8% reduction of MAFLD risk in overall participants. In employed individuals, replacing sitting time with occupational MVPA or nonoccupational MVPA both could bring benefits to liver steatosis. Stratified analysis found that replacing 60 minutes of sitting time with an equivalent time of other behaviour pattern could reduce approximately 8% of the risk among MAFLD participants with metabolic abnormalities. Such a relationship might be explained by the important mediated role of metabolic elements, such as waist circumference, body mass index, triglycerides and homoeostasis model assessment of insulin resistance. Furthermore, replacing sitting with MVPA showed a stronger association among participants who got enough sleep (sleep duration ≥7 hours per day). CONCLUSION Replacing sitting with other behaviour patterns could reduce the prevalence of MAFLD, and such substitution effect was much remarkably in individuals with abnormal metabolic status. Observably, obese individuals were more likely to benefit from appropriate changes in behaviour patterns. Moreover, the analysis of sleep duration stratification appealed that the adequacy of individual sleep duration also had a significant impact on the substitution effect. It is worth noting that adjusting the time allocation of behaviour patterns might have a beneficial impact on liver-metabolic health, and these findings might help us better recognize the importance of reasonable arrangement of behaviour patterns according to the individual's situation.
Collapse
Affiliation(s)
- Jialu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital, Affiliated to Nanchang University, Nanchang, Xinjiang, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical University, Guiyang, China
| | - Qing Su
- Xinhua Hospital, Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Affiliated of Dalian Medical University, Dalian, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital, Affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People's Hospital, Xinjiang, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | | |
Collapse
|
41
|
Lin L, Wang AP, Dou JT, Chen Y, Liu FL, Ma H, Zheng LG, Dong SY, Wang YM, Mu Y. [Predictive value of hemoglobin glycation index for chronic kidney disease]. Zhonghua Nei Ke Za Zhi 2022; 61:1310-1317. [PMID: 36456510 DOI: 10.3760/cma.j.cn112138-20220508-00347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To investigate the influence of hemoglobin glycation index (HGI) on the risk of incident chronic kidney disease (CDK) among nondiabetic patients. Methods: Prospective cohort study. At baseline, a total of 7 407 nondiabetic patients without a history of CKD from Pingguoyuan Community of the Shijingshan District in Beijing were included from December 2011 to August 2012, who were then divided into three groups according to the tertiles of their baseline HGI levels. The CKD incidence rate was compared among the different HGI groups at last follow-up. Cox multivariable regression was applied to evaluate whether HGI measures predicted CKD risk. Test for trend across tertiles were examined using ordinal values in separate models. Results: The mean age of the subjects was (56.4±7.5) years, and 4 933 (66.6%) were female. At mean follow-up of 3.23 years, 107 (1.4%) individuals developed CKD. The incidence of CKD was gradually increasing from the low to high HGI groups [1.1% (28/2 473) vs. 1.2% (31/2 564) vs. 2.0% (48/2 370), P=0.016]. In the multivariate Cox regression analysis, after adjustment for potential confounders, the high HGI group had a 68.5% increased risk of CKD compared with the low HGI group (HR=1.685, 95%CI 1.023 to 2.774). CKD risk increased with increasing HGI tertiles (P for trend=0.028). Conclusion: High HGI is associated with an increased risk for CKD in the nondiabetic population, indicating that HGI may help identify individuals at high risk for CKD.
Collapse
Affiliation(s)
- L Lin
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - A P Wang
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - J T Dou
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Y Chen
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - F L Liu
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - H Ma
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - L G Zheng
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - S Y Dong
- Physical Examination Center, Peking University Shougang Hospital, Beijing 100144, China
| | - Y M Wang
- Beijing Hypertension League Institute, Beijing 100039, China
| | - Yiming Mu
- Department of Endocrinology, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
42
|
Chen N, Zang L, Chen K, Liu YS, Guo QH, Lyu ZH, Dou YM, Mu Y. [Research progress of ACTH stimulation test with 1 mg dexamethasone suppression test in determining the subtypes of primary aldosteronism]. Zhonghua Nei Ke Za Zhi 2022; 61:1277-1280. [PMID: 36323574 DOI: 10.3760/cma.j.cn112138-20211219-0089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- N Chen
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - L Zang
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - K Chen
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y S Liu
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian 116033, China
| | - Q H Guo
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Z H Lyu
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y M Dou
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
43
|
Zhu Y, Hu C, Lin L, Wang S, Lin H, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Xu Y, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wang W, Ning G, Bi Y, Chen Y, Lu J. Obesity mediates the opposite association of education and diabetes in Chinese men and women: Results from the REACTION study. J Diabetes 2022; 14:739-748. [PMID: 36217863 PMCID: PMC9705800 DOI: 10.1111/1753-0407.13325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/06/2022] [Accepted: 09/17/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Evidence regarding the impact of education on diabetes risk is scarce in developing countries. We aimed to explore the association between education and diabetes within a large population in China and to identify the possible mediators between them. METHODS Information on educational level and lifestyle factors was collected through questionnaires. Diabetes was diagnosed from self-report and biochemical measurements. A structural equation model was constructed to quantify the mediation effect of each mediator. RESULTS Compared with their least educated counterparts, men with college education had a higher risk of diabetes (odds ratio [OR] 1.19; 95% confidence interval [CI], 1.12-1.27), while college-educated women were less likely to have diabetes (OR 0.77; 95% CI, 0.73-0.82). Obesity was the strongest mediator in both genders (proportion of mediation: 11.6% in men and 23.9% in women), and its association with education was positive in men (β[SE] 0.0387 [0.0037]) and negative in women (β[SE] -0.0824 [0.0030]). Taken together, all behavioral factors explained 12.4% of the excess risk of diabetes in men and 33.3% in women. CONCLUSIONS In a general Chinese population, the association between education level and diabetes was positive in men but negative in women. Obesity was the major mediator underlying the education disparities of diabetes risk, with a stronger mediation effect among women.
Collapse
Affiliation(s)
- Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang UniversityNanchangChina
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical CollegeLuzhouChina
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical UniversityGuiyangChina
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Li Yan
- Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xulei Tang
- The First Hospital of Lanzhou UniversityLanzhouChina
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical UniversityFuzhouChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhengnan Gao
- Dalian Municipal Central Hospital Affiliated of Dalian Medical UniversityDalianChina
| | - Guixia Wang
- The First Hospital of Jilin UniversityChangchunChina
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Li Chen
- Qilu Hospital of Shandong UniversityJinanChina
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading DistrictShanghaiChina
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western MedicineNanjingChina
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical UniversityHefeiChina
| | - Shengli Wu
- Karamay Municipal People's HospitalXinjiangChina
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Lulu Chen
- Union HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Tianshu Zeng
- Union HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong UniversityJinanChina
| | - Yiming Mu
- Chinese People's Liberation Army General HospitalBeijingChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| |
Collapse
|
44
|
Pan Q, Li Y, Wan H, Wang J, Xu B, Wang G, Jiang C, Liang L, Feng W, Liu J, Wang T, Zhang X, Cui N, Mu Y, Guo L. Efficacy and safety of a basal insulin + 2-3 oral antihyperglycaemic drugs regimen versus a twice-daily premixed insulin + metformin regimen after short-term intensive insulin therapy in individuals with type 2 diabetes: The multicentre, open-label, randomized controlled BEYOND-V trial. Diabetes Obes Metab 2022; 24:1957-1966. [PMID: 35642463 PMCID: PMC9543477 DOI: 10.1111/dom.14780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/18/2022] [Accepted: 05/26/2022] [Indexed: 11/30/2022]
Abstract
AIM To compare the efficacy and safety of basal insulin glargine 100 units/ml (Gla) + 2-3 oral antihyperglycaemic drugs (OADs) with twice-daily premixed insulin aspart 70/30 (Asp30) + metformin (MET) after short-term intensive insulin therapy in adults with type 2 diabetes in China. MATERIALS AND METHODS This open-label trial enrolled insulin-naïve adults with type 2 diabetes and an HbA1c of 7.5%-11.0% (58-97 mmol/mol) despite treatment with 2-3 OADs. All participants stopped previous OADs except MET, then received short-term intensive insulin therapy during the run-in period, when those with a fasting plasma glucose of less than 7.0 mmol/L and 2-hour postprandial glucose of less than 10.0 mmol/L were randomized to Gla + MET + a dipeptidyl peptidase-4 inhibitor or twice-daily Asp30 + MET. If HbA1c was more than 7.0% (>53 mmol/mol) at week 12, participants in the Gla group were added repaglinide or acarbose, at the physician's discretion, and participants in the Asp30 group continued to titrate insulin dose. The change in HbA1c from baseline to week 24 was assessed in the per protocol (PP) population (primary endpoint). RESULTS There were 384 enrollees (192 each to Gla and Asp30); 367 were included in the PP analysis. The threshold for non-inferiority of Gla + OADs versus Asp30 + MET was met, with a least squares mean change from baseline in HbA1c of -1.72% and -1.70% (-42.2 and -42.1 mmol/mol), respectively (estimated difference -0.01%; 95% CI -0.20%, 0.17% [-0.1 mmol/mol; 95% CI -2.2, 1.9]). Achievement of HbA1c less than 7.0% (<53 mmol/mol) was comparable between the groups (60% vs. 57%). The proportion of participants with any (24% vs. 38%; P = .003), symptomatic (19% vs. 31%; P = .007) or confirmed hypoglycaemia (18% vs. 33%; P < .001) was lower in the Gla + OADs group. CONCLUSIONS Compared with Asp30 + MET, Gla + 2-3 OADs showed similar efficacy but a lower hypoglycaemia risk in Chinese individuals with type 2 diabetes who had undergone short-term intensive insulin therapy.
Collapse
Affiliation(s)
- Qi Pan
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
| | - Yijun Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Hailong Wan
- Department of EndocrinologyPanjin Central HospitalPanjinChina
| | - Junfen Wang
- Department of EndocrinologySecond Hospital of ShijiazhuangShijiazhuangChina
| | - Binhua Xu
- Department of EndocrinologyHarbin the First HospitalHarbinChina
| | - Guoping Wang
- Department of EndocrinologySecond Affiliated Hospital of Baotou Medical CollegeBaotouChina
| | - Chengxia Jiang
- Department of EndocrinologyThe Second People's Hospital of YibinYibinChina
| | - Li Liang
- Department of EndocrinologyPeople's Hospital of Liaoning ProvinceShenyangChina
| | - Wei Feng
- Medical DepartmentSanofiShanghaiChina
| | | | - Ting Wang
- Medical DepartmentSanofiShanghaiChina
| | - Xia Zhang
- Medical DepartmentSanofiShanghaiChina
| | - Nan Cui
- Medical DepartmentSanofiShanghaiChina
| | - Yiming Mu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Lixin Guo
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
| | | |
Collapse
|
45
|
Zheng R, Xu Y, Li M, Lu J, Wu S, Niu J, Zhao Z, Chen L, Huo Y, Xu M, Wang T, Wang S, Lin H, Qin G, Yan L, Wan Q, Chen L, Shi L, Hu R, Tang X, Su Q, Yu X, Qin Y, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Mu Y, Zhao J, Wang W, Ning G, Bi Y. Examining the Linear Association Between Blood Pressure Levels and Cardiovascular Diseases in the Absence of Major Risk Factors in China. Circ Cardiovasc Qual Outcomes 2022; 15:e008774. [PMID: 36065814 DOI: 10.1161/circoutcomes.121.008774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Many studies demonstrate a J-shaped association between blood pressure and cardiovascular diseases (CVDs), but the findings are plagued by confounding from other traditional cardiovascular risk factors (CVRFs). Our aims were to examine the associations of systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels with CVD in individuals without major CVRFs and whether there were thresholds for the association. METHODS In the 4C study (China Cardiometabolic Disease and Cancer Cohort), 36 042 CVRF-free participants without CVD, diabetes, dyslipidemia, hypertension, or smoking were identified during 2011 to 2012. Among CVRF-free participants, 17 476 CVRF-preferable individuals with better glycemic (fasting glucose, <110 mg/dL; 2-hour post-load glucose, <140 mg/dL) and lipid profile (total cholesterol, <200 mg/dL; LDL [low-density lipoprotein] cholesterol, <130 mg/dL) were selected. The total person-years of follow-up for CVRF-free subjects and CVRF-preferable subjects were 130 147 and 63 573 person-years, respectively. Information on the development of major CVDs was collected during 2014 to 2016. Cox proportional hazard models were performed to estimate the risks for incident CVD by SBP and DBP groups, respectively. RESULTS We found that both baseline SBP and DBP presented significantly linear associations with CVD risks in CVRF-free and CVRF-preferable participants. There is significant increase in the CVD risk among CVRF-free participants with baseline SBP level of 110 to 119 mm Hg (hazard ratio, 1.79 [95% CI, 1.19-2.71]), 120 to 129 mm Hg (hazard ratio, 2.03 [95% CI, 1.36-3.03]), and 130 to 139 mm Hg (hazard ratio, 2.15 [95% CI, 1.40-3.28]) compared with SBP <110 mm Hg. Significant increases were also observed for DBP level of 80 to 89 mm Hg (hazard ratio, 1.43 [95% CI, 1.03-1.97]) compared with DBP <70 mm Hg. Similar results were observed in CVRF-preferable participants. CONCLUSIONS SBP and DBP with levels currently considered normal were significantly and linearly associated with incident CVD without thresholds above 110/70 mm Hg among Chinese adults without major CVRFs.
Collapse
Affiliation(s)
- Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Shujing Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Jingya Niu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Li Chen
- Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China. Qilu Hospital of Shandong University, Jinan, China (Li Chen)
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, China (Y.H.)
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, China (G.Q.)
| | - Li Yan
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China (L.Y.)
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China (Q.W.)
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Lulu Chen)
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, China (L.S.)
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China (R.H.)
| | - Xulei Tang
- The First Hospital of Lanzhou University, China (X.T.)
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, China (Q.S.)
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.Y.)
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.Q., Z.L.)
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China (G.C.)
| | | | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China (G.W.)
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, China (F.S.)
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.Q., Z.L.)
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, China (Y.Z.)
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China (C.L.)
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China (Y.W.)
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China (Shengli Wu)
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, China (T.Y.)
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, China (Q.L.)
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing (Y.M.)
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China (J.Z.)
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics (R.Z., Y.X., M.L., J.L., Shujing Wu, J.N., Z.Z., M.X., T.W., S. Wang, H.L., Y.C., Y.B., G.N., W.W.)
| | | |
Collapse
|
46
|
Li Y, Xu Z, Wang S, Zhu Y, Ma D, Mu Y, Ying J, Xing P, Li J. EP08.02-091 Disease Monitoring of EGFR-mutated NSCLC Patients Treated with TKIs via EGFR Status in Circulating ctDNA. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
47
|
Wang S, Li M, Lin H, Wang G, Xu Y, Zhao X, Hu C, Zhang Y, Zheng R, Hu R, Shi L, Du R, Su Q, Wang J, Chen Y, Yu X, Yan L, Wang T, Zhao Z, Liu R, Wang X, Li Q, Qin G, Wan Q, Chen G, Xu M, Dai M, Zhang D, Tang X, Gao Z, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Lai S, Mu Y, Chen L, Li D, Xu G, Ning G, Wang W, Bi Y, Lu J. Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study. Cell Rep Med 2022; 3:100727. [PMID: 35998626 PMCID: PMC9512668 DOI: 10.1016/j.xcrm.2022.100727] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/16/2022] [Accepted: 07/22/2022] [Indexed: 11/26/2022]
|
48
|
Liu H, Wang G, Wu T, Hu J, Mu Y, Gu W. Association of skin autofluorescence with low bone density/osteoporosis and osteoporotic fractures in type 2 diabetes mellitus. J Diabetes 2022; 14:571-585. [PMID: 36058895 PMCID: PMC9512774 DOI: 10.1111/1753-0407.13309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/22/2022] [Accepted: 08/10/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Advanced glycation end products (AGEs) that abnormally accumulate in diabetic patients have been reported to damage bone health. We aimed to investigate the association between skin autofluorescence (SAF)-AGEage (SAF - AGEs × age/100) and low bone density (LBD)/osteoporosis or major osteoporotic fractures (MOFs) in patients with type 2 diabetes mellitus (T2DM). METHODS This study was nested in the prospective REACTION (Risk Evaluation of Cancers in Chinese Diabetic Individuals) study and included 1214 eligible participants. SAF was used to measure skin AGEs (SAF-AGEs). Fracture events were determined by an in-person clinical follow-up. Binary logistic regression analysis, linear regression analysis, and a restricted cubic spline nested in logistic models were used to test outcomes. RESULTS The overall prevalence of LBD/osteoporosis in middle-aged or elderly T2DM patients was 35.7% (n = 434), and the overall incidence of MOFs was 10.5% (n = 116). Logistic analysis showed a significantly positive relationship between quartiles of SAF-AGEage and the risk of LBD/osteoporosis (odds ratio [OR] 2.02, 95% CI 1.34-3.03; OR 3.63, CI 2.44-5.39; and OR 6.51, CI 4.34-9.78) for the multivariate-adjusted models, respectively. SAF-AGEage was associated with MOFs with a multivariate-adjusted OR of 1.02 (CI 0.52-2.02), 2.42 (CI 1.32-4.46), and 2.70 (CI 1.48-4.91), respectively. Stratified analyses showed that SAF-AGEage was significantly associated with MOFs only in females, nonsmokers, nondrinkers, individuals with lower body mass index, and those without LBD/osteoporosis. Linear regression analyses showed that higher SAF-AGEs were associated with a higher level of serum N-terminal propeptide of type I procollagen (s-PINP) and serum carboxy-terminal cross-linking peptide of type I collagen (s-CTX), with a multivariate-adjusted OR of 1.02 (CI 0.24-1.80) and 6.30 (CI 1.77-10.83), respectively. CONCLUSIONS In conclusion, SAF-AGEage was positively associated with the prevalence of LBD/osteoporosis or MOFs in patients with T2DM. A positive association between SAF-AGEs and the level of s-PINP and s-CTX was found.
Collapse
Affiliation(s)
- Hongyan Liu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Guoqi Wang
- Department of PediatricsThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Ting Wu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Jia Hu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yiming Mu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Weijun Gu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| |
Collapse
|
49
|
Su W, Yu S, Yin Y, Li B, Xue J, Wang J, Gu Y, Zhang H, Lyu Z, Mu Y, Cheng Y. Diabetic microenvironment preconditioning of adipose tissue-derived mesenchymal stem cells enhances their anti-diabetic, anti-long-term complications, and anti-inflammatory effects in type 2 diabetic rats. Stem Cell Res Ther 2022; 13:422. [PMID: 35986406 PMCID: PMC9389728 DOI: 10.1186/s13287-022-03114-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/04/2022] [Indexed: 11/25/2022]
Abstract
Background Mesenchymal stem cells (MSCs) exert anti-diabetic effects and improve long-term complications via secretory effects that regulate macrophage polarisation and attenuate inflammation. Enhancing the efficacy of MSCs needs to be explored further. The in vitro culture microenvironment influences the secretory profile of MSCs. Therefore, we hypothesised that a diabetic microenvironment would promote the secretion of cytokines responsible for macrophage polarisation, further attenuating systemic inflammation and enhancing the effects of MSCs on type 2 diabetes (T2D) and long-term diabetic complications. Methods Preconditioned adipose-derived mesenchymal stem cells (pre-ADSCs) were obtained after co-cultivating ADSCs in a diabetic metabolic environment (including high sugar, advanced glycation end-product, and lipopolysaccharides). The regulatory effects of pre-ADSCs on macrophages were observed in vitro. A T2D rat model was induced with a high-fat diet for 32 weeks combined with an intraperitoneal injection of streptozotocin. Sprague–Dawley (SD) rats were divided into four groups: normal group, diabetes without treatment group (PBS), ADSC treatment group, and pre-ADSC treatment group. ADSCs and pre-ADSCs were intravenously administered weekly to SD rats for 6 months, and then glucose homeostasis and long-term diabetic complications were evaluated in each group. Results The secretion of cytokines related to M2 macrophage polarisation (IL-6, MCP-1, etc.) was increased in the pre-ADSC group in the in vitro model. Pre-ADSC treatment significantly maintained blood glucose homeostasis, reduced insulin resistance, promoted islet regeneration, and ameliorated the complications related to diabetes in rats (chronic kidney disease, non-alcoholic steatohepatitis, lung fibrosis, and cataract) compared to the ADSC group (P < 0.05). Additionally, the number of anti-inflammatory M2 macrophage phenotypes was enhanced in tissues following pre-ADSC injections. Moreover, the expression of pro-inflammatory genes (iNOS, TNF-α, IL-1β) was reduced whereas that of anti-inflammatory genes (Arg1, CD206, and Il-10) was increased after cultivation with pre-ADSCs. Conclusion Diabetic microenvironment-preconditioned ADSCs effectively strengthen the capacity against inflammation and modulate the progress of long-term T2D complications. Supplementary Information The online version contains supplementary material available at 10.1186/s13287-022-03114-5.
Collapse
|
50
|
Liu H, Zhang S, Wu T, Lv Z, Ba J, Gu W, Mu Y. Expression and clinical significance of Cathepsin K and MMPs in invasive non-functioning pituitary adenomas. Front Oncol 2022; 12:901647. [PMID: 36052250 PMCID: PMC9424993 DOI: 10.3389/fonc.2022.901647] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/27/2022] [Indexed: 01/03/2023] Open
Abstract
Background Cathepsin K (CTSK) is a protease that degrades type I collagen and extracellular matrix, thereby contributing to bone resorption and tumor invasion. Some pituitary adenomas (PAs) could invade the sphenoid sinus (SS) and cavernous sinus (CS). Purpose This retrospective cohort study aimed to study the expression of tumoral biomarkers (CTSK, MMP9, MMP2, TIMP2, and PTTG1) and evaluate their clinical significance in non-functioning pituitary adenomas (NFPAs) with different invasion patterns. Methods We assessed the expression levels of candidate invasion-specific protein biomarkers CTSK, MMP9, MMP2, TIMP2, and PTTG1 by immunohistochemical staining in paraffin-embedded NFPA tumor tissues. Variations in staining intensity were analyzed in cases with SS and CS invasion and non-invasive NFPAs. Results We found that the levels of CTSK were higher in PA cases with SS invasion than that in PA cases with CS invasion (95.57 ± 31.57 vs. 65.29 ± 29.64, P < 0.001), and the expression of MMP9 and MMP2 was higher in CS-invasive cases than that in SS-invasive cases (145.02 ± 49.25 vs. 111.80 ± 51.37, P = 0.002, and 138.67 ± 52.06 vs. 108.30 ± 41.70, P = 0.002). Multiple Cox regression demonstrated that higher CTSK expression (P=0.011), subtotal resection (P<0.001), invasion (P=0.037), and larger tumor diameter (P=0.001) were independent risk factors for recurrence. A positive correlation was observed between CTSK expression and tumor size (r=0.671, p<0.001). There was no significant difference in TIMP2 and PTTG1 levels between CS-and SS-invasive cases (97.42± 39.80 vs. 102.10± 43.22, P = 0.58 and 13.89 ± 4.59 vs. 12.56 ± 3.96, P = 0.14). Conclusion Our data indicated that CTSK has the potential as a marker for SS invasion of PAs, whereas MMP9 and MMP2 may be markers for CS invasion. And CTSK may play an important role in tumor relapse.
Collapse
Affiliation(s)
- Hongyan Liu
- The Chinese PLA Medical School, Beijing, China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Saichun Zhang
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ting Wu
- The Chinese PLA Medical School, Beijing, China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhaohui Lv
- The Chinese PLA Medical School, Beijing, China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jianming Ba
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weijun Gu
- The Chinese PLA Medical School, Beijing, China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- *Correspondence: Yiming Mu, ; Weijun Gu,
| | - Yiming Mu
- The Chinese PLA Medical School, Beijing, China
- Department of Endocrinology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- *Correspondence: Yiming Mu, ; Weijun Gu,
| |
Collapse
|