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Zhu W, Liu Q, Liu F, Jiao C, Zhang L, Xie H. High remnant cholesterol as a risk factor for developing chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population. Acta Diabetol 2024; 61:735-743. [PMID: 38436703 PMCID: PMC11101368 DOI: 10.1007/s00592-024-02249-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/29/2024] [Indexed: 03/05/2024]
Abstract
AIMS To examine any potential links between remnant cholesterol (RC) and comorbid chronic kidney disease (CKD) in individuals with prediabetes and type 2 diabetes mellitus (T2DM). METHODS We used data from 2709 American people aged > 20 years from the National Health and Nutrition Examination Survey (NHANES) during 2011-2018. Subjects were categorized according to whether they had comorbid CKD. Logistic regression models and smoothed curve fitting methods were employed to assess the association of RC with comorbid CKD in patients with prediabetes and T2DM. RESULTS The 2709 participants included 1473 patients with T2DM and 1236 with prediabetes [impaired glucose tolerance (IGT) and impaired fasting glucose (IFG)], of whom 744 (27.46%) had comorbid CKD. In multivariate-adjusted analysis, both RC and triglycerides (TG) were significantly associated with an increased risk of comorbid CKD, and a 1 mmol/L elevation of RC increased the risk by 38.1% [OR (95% CI) 1.636 (1.242, 2.156)], which was higher than the risk associated with a 1 mmol/L increase in TG [1.255 (1.106, 1.424)]. Additionally, those in the highest quartile of RC had a 43.6% higher risk of concomitant renal damage than those in the lowest quartile. RC was linearly and positively associated with the incidence of comorbid CKD in this population. CONCLUSIONS RC is an independent risk factor for comorbid CKD in patients with prediabetes and T2DM. This finding provides a novel insight into the management and early detection of renal disease in patients with impaired glucose metabolism.
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Affiliation(s)
- Wenting Zhu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical Univerisity, Nanjing, 210016, China
| | - Qiushi Liu
- The Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Urology and Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China
| | - Fang Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical Univerisity, Nanjing, 210016, China
| | - Chenfeng Jiao
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical Univerisity, Nanjing, 210016, China
| | - Lihua Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical Univerisity, Nanjing, 210016, China
| | - Honglang Xie
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical Univerisity, Nanjing, 210016, China.
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Yu L, Li B. Association Between Triglyceride-Glucose Index and Diabetic Retinopathy: A Meta-Analysis. Horm Metab Res 2024. [PMID: 38670124 DOI: 10.1055/a-2279-7112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
The objective of this study was to assess the relationship between the triglyceride-glucose (TyG) index, a recently proposed marker of insulin resistance, and the occurrence of diabetic retinopathy (DR), a complication associated with cardiovascular risk. This systematic review and meta-analysis aimed to evaluate the association between the TyG index and DR. To achieve the objective of the meta-analysis, an extensive search was conducted on databases such as PubMed, Embase, and Web of Science to identify observational studies with longitudinal follow-up. Random-effects models were employed to combine the findings, taking into account the potential influence of heterogeneity. Twelve observational studies from 11 reports were included in the meta-analysis, which involved 16 259 patients with type 2 diabetes (T2D). Among them, 4302 (26.5%) were diagnosed as DR. Pooled results showed that a higher TyG index was associated with a higher risk of DR [odds ratio (OR) for the fourth versus the first quartile of TyG index: 1.91, 95% confidence interval (CI): 1.44 to 2.53, p<0.001; I2=72%]. Meta-analysis of TyG index analyzed in continuous variable showed consistent results (OR for per 1 unit increment of TyG index: 1.41, 95% CI: 1.08 to 1.86, p=0.01; I2=82%). Subgroup analysis showed that adjustment of HbA1c or the duration of diabetes did not significantly affect the results (p for subgroup difference all>0.05). In conclusion, a high TyG index was associated with the risk of DR in T2D patients.
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Affiliation(s)
- Lanchu Yu
- Ophthalmology Department, Shanghai Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Bingqing Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital CMU, Beijing, China
- Zhang Jiakou Aier Eye Hospital, Zhang Jiakou, China
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Jang SY, Kang M, Song E, Jang A, Choi KM, Baik SH, Yoo HJ. Remnant cholesterol is an independent risk factor for the incidence of chronic kidney disease in newly-diagnosed type 2 diabetes: A nationwide population-based study. Diabetes Res Clin Pract 2024; 210:111639. [PMID: 38548106 DOI: 10.1016/j.diabres.2024.111639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024]
Abstract
AIMS To evaluate the impact of remnant cholesterol (remnant-C) on chronic kidney disease (CKD) incidence in newly-diagnosed type 2 diabetes. METHODS This retrospective cohort study used Korean National Health Insurance Service data on 212,836 patients with newly-diagnosed type 2 diabetes between 2009 and 2014. We conducted cox regression analysis to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for developing CKD according to remnant-C tertile. RESULTS During a median follow-up duration of 5.23 years, 6,850 CKD cases developed. In the fully adjusted model, HRs and 95 % CIs for incident CKD increased in the highest tertile of baseline remnant-C compared to the lowest (HR [95 % CI]; 1.234 [1.159-1.314]). This association was more prominent in patients with hypertension or low-income status (P for interaction < 0.05). Increased HRs in the highest tertile of remnant-C was sustained in type 2 diabetes patients within target range of conventional lipid profile such as low-density lipoprotein cholesterol (LDL-C) < 100 mg/dL and < 70 mg/dL (1.165 [1.041-1.304] and 1.308 [1.063-1.609]), high-density lipoprotein cholesterol (HDL-C) (1.243 [1.155-1.338]) and triglyceride (1.168 [1.076-1.268]), respectively. CONCLUSIONS In newly-diagnosed type 2 diabetes patients, higher remnant-C is independently associated with CKD incidence, even when conventional lipid values are well-controlled.
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Affiliation(s)
- Soo Yeon Jang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Minwoong Kang
- Department of Biomedical Research Center, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Eyun Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Ahreum Jang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sei Hyun Baik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hye Jin Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
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Wang Y, Song W, Yuan Q, Mai M, Luo M, Fan J, Zhang P, Guo H. Serum remnant cholesterol is a potential predictor of liver stiffness in patients with nonalcoholic fatty liver disease. Scand J Gastroenterol 2024; 59:469-479. [PMID: 38131633 DOI: 10.1080/00365521.2023.2294693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is associated with dyslipidemia, and the connection between dyslipidemia and remnant cholesterol (RC), a component of triglyceride-rich lipoproteins, remains enigmatic. METHODS In this cross-sectional study, our primary aim was to investigate the role of RC in the progression of NAFLD and to provide robust evidence of RC's involvement in the pathogenesis of NAFLD. We enrolled 2800 NAFLD patients from the National Health and Nutrition Examination Survey (NHANES). Logistic regression was employed to examine the relationship between serum RC levels and liver stiffness, while receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic capability of RC. RESULTS RC exhibited an independent correlation with the extent of liver stiffness, with odds ratios (OR) of 1.02 for liver steatosis (p = 0.014) and 1.02 for liver fibrosis (p = 0.014). To predict NAFLD, the optimal RC thresholds were 17.25 mg/dL for males and 15.25 mg/dL for females in the case of liver steatosis. For advanced liver fibrosis, the best thresholds were 17.25 mg/dL for males and 16.25 mg/dL for females. CONCLUSIONS RC demonstrated a positive correlation with the degree of liver stiffness and exhibited superior diagnostic efficacy for liver steatosis and fibrosis compared to other cholesterol indicators.
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Affiliation(s)
- Ya Wang
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Wanhan Song
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Qianhua Yuan
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Meiqing Mai
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Mengliu Luo
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Jiahua Fan
- Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Peiwen Zhang
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
| | - Honghui Guo
- Department of Nutrition, School of Public Health, Guangdong Medical University, Zhanjiang, China
- Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China
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Chen S, Xu Y, Chen B, Lin S, Lu L, Cheng M, Wang Y, Yang Q, Ling S, Zhou D, Shi Y, Zou H, Ma Y. Remnant cholesterol is correlated with retinal vascular morphology and diabetic retinopathy in type 2 diabetes mellitus: a cross-sectional study. Lipids Health Dis 2024; 23:75. [PMID: 38468242 PMCID: PMC10926603 DOI: 10.1186/s12944-024-02064-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/27/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND The association between remnant cholesterol (RC) and diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) remains unclear. Morphological changes in retinal vessels have been reported to predict vascular complications of diabetes, including DR. METHODS This cross-sectional study included 6535 individuals with T2DM. The RC value was calculated using the recognized formula. The retinal vascular parameters were measured using fundus photography. The independent relationship between RC and DR was analyzed using binary logistic regression models. Multiple linear regression and subgroup analyses were employed to investigate the link between RC and vascular parameters, including the retinal arteriolar diameter (CRAE), venular diameter (CRVE), and fractal dimension (Df). Mediation analysis was performed to assess whether the vascular morphology could explain the association between RC and DR. RESULTS RC was independently associated with DR in patients with a longer duration of T2DM (> 7 years). Patients with the highest quartile RC levels had larger CRAE (5.559 [4.093, 7.025] μm), CRVE (7.620 [5.298, 9.941] μm) and Df (0.013 [0.009, 0.017]) compared with patients with the lowest quartile RC levels. Results were robust across different subgroups. The association between RC and DR was mediated by CRVE (0.020 ± 0.005; 95% confidence interval: 0.012-0.032). CONCLUSIONS RC may be a risk factor for DR among those who have had T2DM for a longer period of time. Higher RC levels were correlated with wider retinal arterioles and venules as well as higher Df, and it may contribute to DR through the dilation of retinal venules.
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Affiliation(s)
- Shuli Chen
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100, Haining Road, Shanghai, 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Yi Xu
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Bo Chen
- School of Public Health, Fudan University, No. 130, Dongan Road, Shanghai, China
| | - Senlin Lin
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China.
- National Clinical Research Center for Eye Diseases, Shanghai, China.
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Lina Lu
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Minna Cheng
- Department of Chronic Non-Communicable Diseases and Injury, Shanghai Municipal Center for Disease Control & Prevention, No. 1380, West Zhongshan Road, Shanghai, China
| | - Yuheng Wang
- Department of Chronic Non-Communicable Diseases and Injury, Shanghai Municipal Center for Disease Control & Prevention, No. 1380, West Zhongshan Road, Shanghai, China
| | - Qinping Yang
- Department of Chronic Non-Communicable Diseases and Injury, Shanghai Municipal Center for Disease Control & Prevention, No. 1380, West Zhongshan Road, Shanghai, China
| | - Saiguang Ling
- EVision technology (Beijing) co. LTD, Beijing, 100085, China
| | - Dengji Zhou
- EVision technology (Beijing) co. LTD, Beijing, 100085, China
| | - Yan Shi
- Department of Chronic Non-Communicable Diseases and Injury, Shanghai Municipal Center for Disease Control & Prevention, No. 1380, West Zhongshan Road, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, No. 12, Middle Wulumuqi Road, Shanghai, China.
| | - Haidong Zou
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China.
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100, Haining Road, Shanghai, 200080, China.
- National Clinical Research Center for Eye Diseases, Shanghai, China.
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Yingyan Ma
- Department of Eye Disease Control and Prevention, Shanghai Eye Disease Prevention & Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, No. 1440, Hongqiao Road, Shanghai, 200336, China.
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100, Haining Road, Shanghai, 200080, China.
- National Clinical Research Center for Eye Diseases, Shanghai, China.
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
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Okabe T, Kunikata H, Yasuda M, Kodama S, Maeda Y, Nakano J, Takeno D, Fuse N, Nakazawa T. Relationship between nailfold capillaroscopy parameters and the severity of diabetic retinopathy. Graefes Arch Clin Exp Ophthalmol 2024; 262:759-768. [PMID: 37874367 PMCID: PMC10907418 DOI: 10.1007/s00417-023-06220-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/10/2023] [Accepted: 08/22/2023] [Indexed: 10/25/2023] Open
Abstract
PURPOSE To determine whether non-invasive measurements of the nailfold capillaries (NCs) are associated with the presence and severity of diabetic retinopathy (DR) in patients with type 2 diabetes. METHODS Eighty-three eyes of 83 patients with type 2 diabetes were enrolled. Sixty-three age-matched non-diabetic subjects served as controls. Diabetic patients were classified by the severity of their DR: non-DR (NDR), non-proliferative DR (NPDR), and proliferative DR (PDR). We used nailfold capillaroscopy to measure NC parameters, including number, length, width, and turbidity. RESULTS Four NC parameters in the diabetic patients were significantly lower than in the controls (all P < 0.001). There was a statistically significant decrease in the NC parameters along with the increasing severity of DR (number: P = 0.02; all others: P < 0.001). Logistic regression analysis revealed that combining the systemic characteristics of age, sex, systolic blood pressure, estimated glomerular filtration rate, hemoglobin A1c level, and history of hypertension and dyslipidemia could indicate the presence of DR and PDR (the area under the receiver operating characteristic curve [AUC] = 0.81, P = 0.006; AUC = 0.87, P = 0.001, respectively). Furthermore, the discriminative power of DR was significantly improved (P = 0.03) by adding NC length to the systemic findings (AUC = 0.89, P < 0.001). CONCLUSION NC measurement is a simple and non-invasive way to assess the risk of DR and its severity.
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Affiliation(s)
- Tatsu Okabe
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan
| | - Hiroshi Kunikata
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan.
- Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Masayuki Yasuda
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan
| | - Shinjiro Kodama
- Department of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuta Maeda
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan
- At Co., Ltd., Osaka, Japan
| | | | | | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan
- Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Ophthalmic Imaging and Information Analytics, Tohoku University Graduate School of Medicine, Sendai, Japan
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Dong W, Yan S, Chen H, Zhao J, Zhang Z, Gu W. Association of remnant cholesterol and newly diagnosed early-onset type 2 diabetes mellitus in Chinese population: A retrospective cross-sectional study. J Diabetes 2024; 16:e13498. [PMID: 37961994 PMCID: PMC10859310 DOI: 10.1111/1753-0407.13498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/18/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND With the increasing incidence of diabetes worldwide, patients diagnosed with diabetes has been getting younger. Previous studies have shown that high remnant cholesterol (RC) level leads to an increased risk of cardiovascular disease events. However, the relationship between RC levels and newly diagnosed early-onset type 2 diabetes mellitus (T2DM) is unknown. This study aimed to explore the association between RC and newly diagnosed early-onset T2DM. METHODS A total of 606 patients newly diagnosed with early-onset T2DM and 619 gender-matched subjects with normal blood glucose levels were retrospectively enrolled in this study. All T2DM patients showed onset age of 18-40 years. Binary logistic regression analysis was performed to analyze independent risk factors and receiver operating characteristic (ROC) analysis was used to explore the predictive value of RC and other unconventional lipids. Moreover, the correlation between RC and insulin resistance in patients with newly diagnosed early-onset T2DM was also examined with binary logistic regression analysis and Spearman correlation analysis. RESULTS Increased RC level was an independent risk factor for early-onset T2DM (p < .05). The area under the curve on ROC analysis of RC was 0.805, 95% confidence interval (CI) was 0.781 ~ 0.826, sensitivity was 82.18% and specificity was 66.24%, which showed higher predictive value than those of triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and total cholesterol (TC)/HDL-C ratio. Cutoff value of RC was 0.32 mmol/L. Level of RC in early-onset T2DM patients with moderate or severe insulin resistance was significantly higher than that in patients with mild insulin resistance (p < .0001). No difference in RC levels was found between patients with moderate and severe insulin resistance (p > .05). RC was still correlated with insulin resistance after adjusting the conventional lipid parameters (TG, TC, HDL-C, and low-density lipoprotein cholesterol) using partial correlation analysis. CONCLUSION RC level was higher in patients with early-onset T2DM and was correlated to the degree of insulin resistance as well. Patients aged 18-40 years with RC >0.32 mmol/L showed an increased risk of developing T2DM.
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Affiliation(s)
- Wenjing Dong
- Chinese PLA Medical CollegeBeijingChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- Department of GerontologyHainan Hospital of Chinese PLA General HospitalSanyaChina
| | - Shiju Yan
- Department of OrthopedicsHainan Hospital of Chinese PLA General HospitalSanyaChina
| | - Han Chen
- Department of InformationHainan Hospital of Chinese PLA General HospitalSanyaChina
| | - Jian Zhao
- Chinese PLA Medical CollegeBeijingChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Zengqiang Zhang
- Department of GerontologyHainan Hospital of Chinese PLA General HospitalSanyaChina
| | - Weijun Gu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
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Yuan Y, Zhou X, Ji L. Association between remnant cholesterol level and severity of chronic kidney disease in patients with type 2 diabetes. J Diabetes Complications 2023; 37:108585. [PMID: 37633073 DOI: 10.1016/j.jdiacomp.2023.108585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 07/30/2023] [Accepted: 08/08/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Studies on whether remnant cholesterol (RC) affects the progression of chronic kidney disease (CKD) remain insufficient. This study aimed to determine whether RC level was associated with the severity of CKD in patients with type 2 diabetes mellitus (T2DM). METHODS In total, 3383 individuals diagnosed with T2DM were enrolled in this cross-sectional study from China. The severity of CKD was defined as no, moderate, severe, and very severe CKD based on the urinary albumin-to-creatinine ratio and estimated glomerular filtration rate. Because RC was non-normally distributed, it was log-transformed and categorized into quantiles. Multivariate logistic regression and multivariate ordinal logistic regression analysis were performed to investigate whether RC was independently associated with CKD and its severity. RESULTS The median RC level was 25.9 mg/dL. The number of patients with no, moderate, severe, and very severe CKD was 2587 (76.5 %), 520 (15.4 %), 189 (5.6 %), and 87 (2.5 %), respectively. After adjusting for confounding factors, the prevalence of CKD increased 1.67-fold when the log-transformed RC level was elevated by one unit (OR [95 % CI], 1.67 [1.43-1.95]). The likelihood of CKD severity increasing by one degree was 1.76-fold for each one-unit increase in log-transformed RC level (OR [95 % CI], 1.76 [1.52-2.05]). When RC was incorporated as a categorical variable, it still correlated with CKD severity compared with quantile 1 (Q1) (Q2, 1.30 [1.01-1.68]; Q3, 1.60 [1.23-2.07]; Q4, 2.39 [1.86-3.09]). The association remained regardless of whether the patient's traditional lipid profiles achieved the target range. CONCLUSION RC level was associated with CKD severity even when traditional lipid profiles were within the target range in patients with T2DM.
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Affiliation(s)
- Yanping Yuan
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China
| | - Xianghai Zhou
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China.
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China.
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Gao Y, Hu Y, Xiang L. Remnant cholesterol, but not other cholesterol parameters, is associated with gestational diabetes mellitus in pregnant women: a prospective cohort study. J Transl Med 2023; 21:531. [PMID: 37544989 PMCID: PMC10405385 DOI: 10.1186/s12967-023-04322-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/01/2023] [Indexed: 08/08/2023] Open
Abstract
OBJECTIVE No evidence has been found of a relationship between remnant cholesterol (RC) and the likelihood of gestational diabetes mellitus (GDM) in pregnant women. The aim of our study was to investigate the link between serum RC at 12-14 weeks of gestation and the risk of GDM. METHODS This was a secondary analysis with data from a prospective cohort study in Korea. A total of 590 single pregnant women attending two hospitals in Korea, up to 14 weeks gestation, from November 2014 to July 2016 were included in the study. The formula used to calculate RC in detail was RC (mg/dL) = TC (mg/dL)-HDL-c (mg/dL)-LDL-c (mg/dL). Logistic regression models were employed to examine the relationship between RC and GDM and explore the association between other lipoprotein cholesterol parameters and the risk of GDM. Furthermore, receiver operating characteristic (ROC) analysis was performed to assess the ability of RC to identify GDM. Additionally, sensitivity and subgroup analyses were conducted. RESULTS The mean age of participants was 32.06 ± 3.80 years. The median of RC was 34.66 mg/dL. 37 pregnant women (6.27%) were eventually diagnosed with GDM. Multivariate adjusted logistic regression analysis showed that RC was positively associated with the risk of GDM (OR = 1.458, 95% CI 1.221, 1.741). There was no significant association between other lipoprotein cholesterols (including TC, LDL-c, HDL-c) and the risk of GDM. The area under the ROC curve for RC as a predictor of GDM was 0.8038 (95% CI 0.7338-0.8738), and the optimal RC cut-off was 24.30 mg/dL. Our findings were demonstrated to be robust by performing a series of sensitivity analyses. CONCLUSION Serum RC levels at 12-14 weeks of gestation are positively associated with GDM risk in pregnant women. RC in early pregnancy is an early warning indicator of GDM in pregnant women, especially those with normal HDL-c, LDL-c, and TC that are easily overlooked. There is a high risk of developing GDM in pregnant women whose RC is more than 24.30 mg/dL. This study may help optimize GDM prevention in pregnant women and facilitate communication between physicians, pregnant patients, and their families.
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Affiliation(s)
- Yajing Gao
- Department of Anesthesiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, 518028, China
| | - Yanhua Hu
- College of Information Science and Engineering, Liuzhou Institute of Technology, No. 99, Xinliu Avenue, Yufeng District, Liuzhou, 545616, Guangxi Zhuang Autonomous Region, China.
| | - Lan Xiang
- School of Medical Technology and Nursing, Shenzhen Polytechnic, No.113, Tongfa Road 113, Nanshan District, Shenzhen, 518055, Guangdong, China.
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Wang GX, Hu XY, Zhao HX, Li HL, Chu SF, Liu DL. Development and validation of a diabetic retinopathy risk prediction model for middle-aged patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1132036. [PMID: 37008912 PMCID: PMC10050549 DOI: 10.3389/fendo.2023.1132036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/27/2023] [Indexed: 03/17/2023] Open
Abstract
Objectives The study aims to establish a predictive nomogram of diabetic retinopathy(DR) for the middle-aged population with type 2 diabetes mellitus (T2DM). Methods This retrospective study screened 931 patients with T2DM between 30 and 59 years of age from the 2011-2018 National Health and Nutrition Examination Survey database. The development group comprised 704 participants from the 2011-2016 survey, and the validation group included 227 participants from the 2017-2018 survey. The least absolute shrinkage and selection operator regression model was used to determine the best predictive variables. The logistic regression analysis built three models: the full model, the multiple fractional polynomial (MFP) model, and the stepwise (stepAIC) selected model. Then we decided optimal model based on the receiver operating characteristic curve (ROC). ROC, calibration curve, Hosmer-Lemeshow test, and decision curve analysis (DCA) were used to validate and assess the model. An online dynamic nomogram prediction tool was also constructed. Results The MFP model was selected to be the final model, including gender, the use of insulin, duration of diabetes, urinary albumin-to-creatinine ratio, and serum phosphorus. The AUC was 0.709 in the development set and 0.704 in the validation set. According to the ROC, calibration curves, and Hosmer-Lemeshow test, the nomogram demonstrated good coherence. The nomogram was clinically helpful, according to DCA. Conclusion This study established and validated a predictive model for DR in the mid-life T2DM population, which can assist clinicians quickly determining who is prone to develop DR.
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Affiliation(s)
- Gao-Xiang Wang
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, Guangdong, China
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Xin-Yu Hu
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- Department of Endocrinology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Heng-Xia Zhao
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Hui-Lin Li
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Shu-Fang Chu
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - De-Liang Liu
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
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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] [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.
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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
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Zheng X, Jiang M, Ren X, Han L. The longitudinal association of remnant cholesterol with diabetes in middle-aged and elderly Chinese: A nationwide population-based cohort study. J Diabetes Complications 2023; 37:108360. [PMID: 36459863 DOI: 10.1016/j.jdiacomp.2022.108360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIMS The association between remnant cholesterol (RC) and diabetes remains unclear in Chinese. METHODS AND RESULTS We used the data of 9464 Chinese adults aged ≥45 years from the China Health and Retirement Longitudinal Study (CHARLS). Estimated RC level was calculated as total cholesterol minus high-density lipoprotein cholesterol minus low-density lipoprotein cholesterol. Cox proportional hazard models and restricted cubic spline models were used to assess the relationships between RC and diabetes. RESULTS After 6 years of follow-up, a total of 777 respondents experienced new-onset diabetes. In multivariable-adjusted analyses, the adjusted hazard ratios (95 % confidence intervals) for the highest versus lowest quartile of RC was 1.45 (1.19-1.75) for risk of diabetes, and each 1-SD increase of RC (19.52 mg/dl) was associated with 9 % (HRs = 1.09; 1.03-1.15) increased risk of diabetes. There were also significant linear associations between RC level and diabetes (P for linearity <0.001). CONCLUSION Elevated RC levels were positively associated with increased risk of diabetes in Chinese adult population, suggesting that RC could be considered as a preferential predictor and treatment target of diabetes in Chinese population. Future prospective studies are needed to verify our findings and to assess the effect of RC-lowering interventions in diabetes prevention.
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Affiliation(s)
- Xiaowei Zheng
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Minglan Jiang
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Xiao Ren
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Longyang Han
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
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Pan W, Han Y, Hu H, He Y. The non-linear link between remnant cholesterol and diabetic retinopathy: a cross-sectional study in patients with type 2 diabetic mellitus. BMC Endocr Disord 2022; 22:326. [PMID: 36544115 PMCID: PMC9768989 DOI: 10.1186/s12902-022-01239-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Research on residual cholesterol (RC) and diabetic retinopathy (DR) remains limited. As a result, the current study was designed to investigate the relationship between RC and DR in patients with type 2 diabetic mellitus (T2DM). METHODS This cross-sectional study consecutively and non-selectively collected a total of 1964 type 2 diabetic mellitus patients in two hospitals in Taiwan from April 2002 to November 2004. A binary logistic regression model was then used to assess the independent relationship between RC level and DR and proliferative diabetic retinopathy (PDR). A generalized additive model (GAM) and smooth curve fitting were used to investigate the actual shape of the curve between them. It was stated that the data had been uploaded to the website: https://journals.plos.org/plosone . RESULTS The average age of the participants was 64.10+/- 11.32 years old, with 42.92% being male. The prevalence of DR and PDR was 35.13 and 18.13%, respectively. The mean RC level was 30.57 ± 14.60 mg/dL. We found no significant association between RC and DR (OR = 1.001; 95% CI 0.991, 1.011) or PDR (OR = 1.008; 95% CI 0.995, 1.021) based on a fully adjusted logistic regression model. Results remained robust across a series of sensitivity analyses. However, a non-linear relationship was detected between RC and DR. Using a two-piece logistic regression model and a recursive algorithm, we found an inflection point of RC was 13.0 mg/dL. A 1-unit increase in the RC level was associated with 19.4% greater adjusted odds of DR (OR = 1.194; 95% CI 1.070, 1.333) when RC < 13.0 mg/dL. There was also a non-linear relationship between RC and PDR, and the inflection point of the RC was 39.0 mg/dL. When RC < 39.0 mg/dL, a 1-unit increase in the RC level was associated with 2.1% greater adjusted odds of PDR (OR = 1.021; 95% CI 1.004, 1.038). CONCLUSION This study demonstrates a non-linear relationship between RC and DR or PDR in type 2 diabetic mellitus patients. Our findings provide new insights into advancing research on the link between RC and DR or PDR.
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Affiliation(s)
- Wushan Pan
- Department of Nephrology, Kaifeng Central Hospital, Kaifeng, 475000, Henan Province, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital, Guangdong Province, Shenzhen, 518000, China
- Department of Emergency, The First Affiliated Hospital of Shenzhen University, Guangdong Province, Shenzhen, 518000, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital, Guangdong Province, Shenzhen, 518000, China.
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Guangdong Province, Shenzhen, 518000, China.
| | - Yongcheng He
- Department of Nephrology, Shenzhen Hengsheng Hospital, No.3002 Sungang Road, Futian District, Shenzhen, 518000, Guangdong Province, China.
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Wang Y, Liu Y, Yang R, Li Z, Su J, Yang T, Ma M, Pan G, Wang X, Li L, Yu C. Remnant cholesterol for the detection of glucose metabolic states in patients with coronary heart disease angina pectoris. Acta Diabetol 2022; 59:1339-1347. [PMID: 35871108 DOI: 10.1007/s00592-022-01935-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 06/29/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND This study aimed to evaluate the relationship between remnant cholesterol (RC) and glucose metabolic states in coronary heart disease (CHD) patients with angina pectoris. METHODS This study collected data from 11,557 CHD patients with angina pectoris aged 35-75 years in Tianjin, China. Participants were divided into normal glucose regulation (NGR), prediabetes (Pre-DM) and diabetes mellitus (DM) groups according to glucose metabolic states. Linear regression analysis was used to explore the relationship between glucose metabolism [fasting blood glucose (FBG) and glycated hemoglobin (HbA1c)] and RC levels. Logistic regression was performed to analyze the relationship between RC levels and glucose metabolic states. RESULTS Among all participants, 5883 (50.9%) had a DM state and 4034 (34.9%) had a Pre-DM state. FBG levels and HbA1c levels were positively related with RC in all patients (P < 0.001). NGR was used as a reference, multi-adjusted model showing that RC level was significantly associated with Pre-DM [Odds ratio (OR): 1.37; 95% confidence interval (CI) 1.19-1.56; P < 0.001] and DM state (OR:1.47; 95% CI 1.29-1.67; P < 0.001). When considering RC as categorical variables (tertiles), using T1 as a reference, T3 had the strongest relationship between RC levels and Pre-DM and DM state in univariate model and multivariate model. In the stratified analyses, the association between RC levels and pre-DM and DM in women was higher than that in men, and the elderly patients was higher than in the middle-aged patients. CONCLUSION The study demonstrated a significant association between RC levels and pre-DM and DM state among CHD patients with angina pectoris, and the relationship was stronger in women and elderly patients.
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Affiliation(s)
- Yang Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yijia Liu
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Rongrong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Zhu Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Jinyu Su
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Tong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Mei Ma
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Guangwei Pan
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Xianliang Wang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300381, China.
| | - Lin Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Chunquan Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
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Predictive Value of the Advanced Lipoprotein Profile and Glycated Proteins on Diabetic Retinopathy. Nutrients 2022; 14:nu14193932. [PMID: 36235586 PMCID: PMC9572733 DOI: 10.3390/nu14193932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/08/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
This study aimed to assess whether the advanced characteristics of serum lipoprotein subclasses could better predict the risk of developing diabetic retinopathy (DR) and its severity compared to other established risk factors in subjects with type 1 (T1D) and type 2 (T2D) diabetes. This observational, cross-sectional substudy analyzed DR-related data from 309 T1D and 264 T2D subjects. The advanced lipoprotein and glycoprotein profile was determined by nuclear magnetic resonance (NMR) spectroscopy (Liposcale test). NMR analysis of lipoproteins revealed that T1D subjects with DR showed standard non-HDL particles, despite higher IDL lipid concentrations. Notably, IDL lipids were elevated in T1D subjects with worsened DR. VLDL and LDL were smaller, whereas HDL triglycerides were increased in DR compared with non-DR. On the other hand, the T2D subjects with DR showed altered characteristics in the LDL fraction, mainly revealed by a significant decrease in smaller LDL and a reduction in LDL-C. Moreover, the glycoprotein profile did not reveal significant changes among DR groups, regardless of the type of diabetes. However, lipoprotein characteristics and glycoproteins unveiled by NMR analysis did not improve the predictive value of conventional lipids or other traditional, well-established biomarkers of DR in our cohorts.
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Wu Z, Yu S, Zhu Q, Li Z, Zhang H, Kang X, Xu Z, Miao X, Liu X, Li X, Zhang J, Wang W, Tao L, Guo X. Association of baseline and cumulative remnant cholesterol with incidence of diabetic nephropathy: A longitudinal cohort study. Diabetes Res Clin Pract 2022; 191:110079. [PMID: 36099974 DOI: 10.1016/j.diabres.2022.110079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/01/2022] [Accepted: 09/05/2022] [Indexed: 11/03/2022]
Abstract
AIMS To evaluate the longitudinal association of remnant cholesterol with the incidence of diabetic nephropathy using a Chinese diabetes cohort. METHODS We included 4237 individuals with type 2 diabetes during 2013-2014 from Beijing Health Management Cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Diabetic nephropathy was confirmed by urine albumin/creatinine ratio and estimated glomerular filtration rate. We calculated the hazard ratio (HR) and 95% confidence interval (CI) for incident diabetic nephropathy using adjusted Cox proportional hazards regression. RESULTS The median [IQR] age was 55 [48, 64] years, and 3 256 (76.8 %) were men. During follow-up, 248 (5.9 %) participants developed diabetic nephropathy. One-SD increase of baseline and average cumulative remnant cholesterol were significantly associated with an increased risk of diabetic nephropathy, and the adjusted HRs were 1.208 (95 % CI: 1.098-1.329) and 1.216 (95 % CI: 1.102-1.341), respectively. Individuals in the highest tertile of baseline and average cumulative remnant cholesterol had a 82.3 % and 87.6 % excess risk of diabetic nephropathy, compared with those in the lowest. CONCLUSION Remnant cholesterol is independently associated with incident diabetic nephropathy in type 2 diabetes.
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Affiliation(s)
- Zhiyuan Wu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China; Centre for Precision Health, Edith Cowan University, Perth, Australia.
| | - Siqi Yu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
| | - Qian Zhu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
| | - Zhiwei Li
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Haiping Zhang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | | | - Zongkai Xu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xinlei Miao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xiangtong Liu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia.
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing, China
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Perth, Australia.
| | - Lixin Tao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China; Centre for Precision Health, Edith Cowan University, Perth, Australia.
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