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Sun Y, Li F, Zhou Y, Liu A, Lin X, Zou Z, Lv X, Zhou J, Li Z, Wu X, Dou S, Zhang M, Zhu J, Chen Y, Xiao X, Hu Y, Li H, Li Y. Nonlinear association between atherogenic index of plasma and type 2 diabetes mellitus in overweight and obesity patients: evidence from Chinese medical examination data. Cardiovasc Diabetol 2024; 23:226. [PMID: 38951808 PMCID: PMC11218131 DOI: 10.1186/s12933-024-02330-y] [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: 04/27/2024] [Accepted: 06/19/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is closely associated with the onset of diabetes, with obesity being a significant risk factor for type 2 diabetes mellitus (T2DM). However, the association between the AIP and T2DM in overweight and obese populations has been infrequently studied. Therefore, this study aimed to explore this association in overweight and obese individuals with T2DM. METHODS This cross-sectional analysis utilized data from 40,633 participants with a body mass index (BMI) ≥ 24 kg/m2 who were screened from January 2018 to December 2023 at Henan Provincial People's Hospital. Participants were categorized into groups of overweight and obese individuals with and without diabetes according to the T2DM criteria. The AIP, our dependent variable, was calculated using the formula log10 [(TG mol/L)/HDL-C (mol/L)]. We investigated the association between the AIP and T2DM in overweight and obese individuals using multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and threshold effect analysis. Additionally, mediation analysis evaluated the role of inflammatory cells in AIP-related T2DM. RESULTS Overweight and obese patients with T2DM exhibited higher AIP levels than those without diabetes. After adjusting for confounders, our results indicated a significant association between the AIP and the risk of T2DM in overweight and obese individuals (odds ratio (OR) = 5.17, 95% confidence interval (CI) 4.69-5.69). Notably, participants with a high baseline AIP (Q4 group) had a significantly greater risk of T2DM than those in the Q1 group, with an OR of 3.18 (95% CI 2.94-3.45). Subgroup analysis revealed that the association between the AIP and T2DM decreased with increasing age (interaction P < 0.001). In overweight and obese populations, the association between AIP and T2DM risk displayed a J-shaped nonlinear pattern, with AIP > - 0.07 indicating a significant increase in T2DM risk. Various inflammatory cells, including neutrophils, leukocytes, and monocytes, mediated 4.66%, 4.16%, and 1.93% of the associations, respectively. CONCLUSION In overweight and obese individuals, the AIP was independently associated with T2DM, exhibiting a nonlinear association. Additionally, the association between the AIP and T2DM decreased with advancing age. Multiple types of inflammatory cells mediate this association.
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Affiliation(s)
- Yongbing Sun
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Fengli Li
- Department of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Yang Zhou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Ao Liu
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xinbei Lin
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Zhi Zou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xue Lv
- Henan Provincial People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Jing Zhou
- Henan Provincial Research Center of Clinical Medicine of Nephropathy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, China
| | - Zhonglin Li
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xiaoling Wu
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Shewei Dou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Michael Zhang
- Sevenoaks Health Management Center, Canada-Canada Institute of Health Engineering, University of Manitoba, Winnipeg, Canada
| | - Jiadong Zhu
- Chronic Health Management Laboratory, Department of Health Management, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Yalong Chen
- Department of Medical Imaging, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Xinguang Xiao
- Department of Medical Imaging, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Yangxi Hu
- Department of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China.
| | - Hao Li
- Fuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, 451464, Henan, China.
| | - Yongli Li
- Chronic Health Management Laboratory, Department of Health Management, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China.
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Porsch F, Binder CJ. Autoimmune diseases and atherosclerotic cardiovascular disease. Nat Rev Cardiol 2024:10.1038/s41569-024-01045-7. [PMID: 38937626 DOI: 10.1038/s41569-024-01045-7] [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] [Accepted: 05/28/2024] [Indexed: 06/29/2024]
Abstract
Autoimmune diseases are associated with a dramatically increased risk of atherosclerotic cardiovascular disease and its clinical manifestations. The increased risk is consistent with the notion that atherogenesis is modulated by both protective and disease-promoting immune mechanisms. Notably, traditional cardiovascular risk factors such as dyslipidaemia and hypertension alone do not explain the increased risk of cardiovascular disease associated with autoimmune diseases. Several mechanisms have been implicated in mediating the autoimmunity-associated cardiovascular risk, either directly or by modulating the effect of other risk factors in a complex interplay. Aberrant leukocyte function and pro-inflammatory cytokines are central to both disease entities, resulting in vascular dysfunction, impaired resolution of inflammation and promotion of chronic inflammation. Similarly, loss of tolerance to self-antigens and the generation of autoantibodies are key features of autoimmunity but are also implicated in the maladaptive inflammatory response during atherosclerotic cardiovascular disease. Therefore, immunomodulatory therapies are potential efficacious interventions to directly reduce the risk of cardiovascular disease, and biomarkers of autoimmune disease activity could be relevant tools to stratify patients with autoimmunity according to their cardiovascular risk. In this Review, we discuss the pathophysiological aspects of the increased cardiovascular risk associated with autoimmunity and highlight the many open questions that need to be answered to develop novel therapies that specifically address this unmet clinical need.
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Affiliation(s)
- Florentina Porsch
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
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Putra IGNE, Daly M, Sutin A, Steptoe A, Scholes S, Robinson E. Obesity, psychological well-being related measures, and risk of seven non-communicable diseases: evidence from longitudinal studies of UK and US older adults. Int J Obes (Lond) 2024:10.1038/s41366-024-01551-1. [PMID: 38824226 DOI: 10.1038/s41366-024-01551-1] [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] [Received: 10/26/2023] [Revised: 05/14/2024] [Accepted: 05/21/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND We examined the role of psychological well-being related measures in explaining the associations between obesity and increased risk of non-communicable diseases (NCDs: hypertension, heart disease, stroke, diabetes, arthritis, cancer, and memory-related disease) in older adults. METHODS Data were from the English Longitudinal Study of Ageing (ELSA), UK (baseline: Wave 4-2008/2009; n = 8127) and the Health and Retirement Study (HRS), US (baseline: Waves 9 and 10-2008/2010; n = 12,477). Objective body mass index was used to define obesity. A range of psychological well-being related measures (e.g., depressive symptoms, life satisfaction) was available in ELSA (n = 7) and HRS (n = 15), and an index of overall psychological well-being was developed separately in each study. NCDs were from a self-reported doctor diagnosis and/or other assessments (e.g., biomarker data) in both studies; and in ELSA, NCDs from linked hospital admissions data were examined. Longitudinal associations between obesity status, psychological well-being measures, and NCDs were examined using Cox proportional hazard models (individual NCDs) and Poisson regression (a cumulative number of NCDs). Mediation by psychological well-being related measures was assessed using causal mediation analysis. RESULTS Obesity was consistently associated with an increased prospective risk of hypertension, heart disease, diabetes, arthritis, and a cumulative number of NCDs in both ELSA and HRS. Worse overall psychological well-being (index measure) and some individual psychological well-being related measures were associated with an increased prospective risk of heart disease, stroke, arthritis, memory-related disease, and a cumulative number of NCDs across studies. Findings from mediation analyses showed that neither the index of overall psychological well-being nor any individual psychological well-being related measures explained (mediated) why obesity increased the risk of developing NCDs in both studies. CONCLUSION Obesity and psychological well-being may independently and additively increase the risk of developing NCDs.
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Affiliation(s)
- I Gusti Ngurah Edi Putra
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK.
| | - Michael Daly
- Department of Psychology, Maynooth University, Maynooth, Ireland
| | - Angelina Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Andrew Steptoe
- Department of Epidemiology and Health, Institute of Epidemiology and Health Care, Faculty of Population Health Sciences, University College London, London, UK
| | - Shaun Scholes
- Department of Epidemiology and Health, Institute of Epidemiology and Health Care, Faculty of Population Health Sciences, University College London, London, UK
| | - Eric Robinson
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK
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Jiang L, Li L, Xu Z, Tang Y, Zhai Y, Fu X, Liu D, Wu Q. Non-linear associations of atherogenic index of plasma with prediabetes and type 2 diabetes mellitus among Chinese adults aged 45 years and above: a cross-sectional study from CHARLS. Front Endocrinol (Lausanne) 2024; 15:1360874. [PMID: 38628590 PMCID: PMC11018972 DOI: 10.3389/fendo.2024.1360874] [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: 12/24/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024] Open
Abstract
Background Dyslipidemia is strongly associated with the development of prediabetes and type 2 diabetes mellitus (T2DM). The atherogenic index of plasma (AIP), as a comprehensive index for assessing lipid metabolism, has received extensive attention from researchers in recent years. However, there are relatively few studies exploring the relationships between AIP and the risk of prediabetes and T2DM in the Chinese population. This study focuses on exploring the relationships of AIP with the risk of prediabetes and T2DM in the Chinese population. Methods We conducted an analysis of the public data from the China Health and Retirement Longitudinal Study (CHARLS), involving a total of 12,060 participants aged 45 years and above in China. The study explored the relationships of AIP with prediabetes and T2DM risk through multivariate logistic regression, subgroup analysis, smooth curve fitting, and threshold effect analysis. Results After adjusting for potential confounding factors, we observed positive associations between AIP and the risk of prediabetes [odds ratio (OR) = 1.75, 95% confidence interval (CI): 1.49-2.06] and T2DM (OR = 2.91, 95% CI: 2.38-3.57). Participants with higher AIP levels demonstrated a significantly elevated risk of prediabetes (OR = 1.52, 95% CI: 1.33-1.74) and T2DM (OR = 2.28, 95% CI: 1.92-2.71) compared to those with lower AIP levels. AIP showed consistent correlations with prediabetes and T2DM risk in different subgroups. The results showed the non-linear relationships between AIP and risk of prediabetes and T2DM, with inflection points at 0.29 and -0.04, respectively. When AIP > 0.29, there was a positive association between AIP and the risk of prediabetes (OR = 2.24, 95% CI: 1.67-3.00, p < 0.0001). Similarly, when AIP > -0.04, AIP was positively associated with the risk of T2DM (OR = 3.33, 95% CI: 2.67-4.16, p < 0.0001). Conclusions This study demonstrated non-linear positive associations of AIP with the risk of prediabetes and T2DM among participants ≥ 45 years of age in China.
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Affiliation(s)
- Luqing Jiang
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Lei Li
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Zichen Xu
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Yu Tang
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Ying Zhai
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Xia Fu
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Daoqin Liu
- Department of Kidney Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Qiwen Wu
- Department of Laboratory Medicine, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
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Hu X, Lin Y, Appleton AA, Wang W, Yu B, Zhou L, Li G, Zhou Y, Ou Y, Dong H. Remnant cholesterol, iron status and diabetes mellitus: a dose-response relationship and mediation analysis. Diabetol Metab Syndr 2024; 16:65. [PMID: 38475846 DOI: 10.1186/s13098-024-01304-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/04/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) is recognized as a risk factor for diabetes mellitus (DM). Although iron status has been shown to be associated with cholesterol metabolism and DM, the association between RC, iron status, and DM remains unclear. We examined the relationship between RC and iron status and investigated the role of iron status in the association between RC and DM. METHODS A total of 7308 patients were enrolled from the China Health and Nutrition Survey. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Iron status was assessed as serum ferritin (SF) and total body iron (TBI). DM was ascertained by self-reported physician diagnosis and/or antidiabetic drug use and/or fasting plasma glucose ≥ 126 mg/dL and/or glycated haemoglobin ≥ 6.5%. General linear models were used to evaluate the relationships between RC and iron status. Restricted cubic splines were used to assess the association between RC and DM. Mediation analysis was used to clarified the mediating role of iron status in the association between the RC and DM. RESULTS The average age of the participants was 50.6 (standard deviation = 15.1) years. Higher RC was significantly associated with increased SF (β = 73.14, SE = 3.75, 95% confidence interval [CI] 65.79-80.49) and TBI (β = 1.61, SE = 0.08, 95% CI 1.44-1.78). J-shape relationships were found in the association between RC levels with DM, as well as iron status with DM. Significant indirect effects of SF and TBI in the association between RC and DM were found, with the index mediated at 9.58% and 6.37%, respectively. CONCLUSIONS RC has a dose-response relationship with iron status. The association between RC and DM was mediated in part by iron status. Future studies are needed to confirm these findings and further clarify the underlying mechanism.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Cardiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Lin
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | - Allison A Appleton
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY, USA
| | - Weimian Wang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Langping Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Cardiology, Baoan District Central Hospital, Shenzhen, Guangdong, China
| | - Guang Li
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yanqiu Ou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
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Guo R, Wei L, Cao Y, Zhao W. Normal triglyceride concentration and the risk of diabetes mellitus type 2 in the general population of China. Front Endocrinol (Lausanne) 2024; 15:1330650. [PMID: 38390200 PMCID: PMC10883381 DOI: 10.3389/fendo.2024.1330650] [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: 10/31/2023] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
Introduction Hypertriglyceridemia and its derivatives are independent predictors of diabetes mellitus type 2 (T2DM). However, the relationship between triglyceride concentrations within the normal range and the incidence of T2DM remains to be clarified. This study investigated the potential relationship between variations in plasma triglyceride levels within the normal range and T2DM onset using data from a longitudinal study of health and retirement in China. Methods Between, 2010 and, 2016, we conducted a retrospective cohort study involving 36,441 individuals with normal triglyceride levels. Using a Cox proportional hazards regression model, we examined the connection between normal triglyceride levels and T2DM incidence. We employed this method with smooth curve fitting to investigate potential nonlinear associations. Subgroup analyses were performed based on age, sex, body mass index, smoking and drinking status, hypertension, and family history of diabetes. Results A significant linear relationship was observed between normal triglyceride levels and the incidence of T2DM. The hazard ratio for T2DM in individuals with normal triglycerides was 1.81 (95% confidence interval: 1.39, 2.36); P<0.001). Kaplan-Meier analysis further demonstrated a prospective association between the higher tertiles of normal triglyceride levels and the development of T2DM (P<0.001). Subgroup analysis revealed a stronger positive correlation between normal triglyceride levels in females and the risk of T2DM. Discussion An increase in triglyceride levels within the normal range is related to a continuous increase in the incidence of T2DM in the general population. These findings show that almost everyone can benefit from reducing triglyceride levels, further emphasizing the importance of lifestyle changes in the general population.
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Affiliation(s)
- Rubing Guo
- School of Public Health, Gansu University of Traditional Chinese Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Lianhua Wei
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Yongtong Cao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Wei Zhao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
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Kurniawan F, Sigit FS, Trompet S, Yunir E, Tarigan TJE, Harbuwono DS, Soewondo P, Tahapary DL, de Mutsert R. Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey. Prev Med Rep 2024; 38:102629. [PMID: 38375173 PMCID: PMC10874845 DOI: 10.1016/j.pmedr.2024.102629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/06/2024] [Accepted: 01/20/2024] [Indexed: 02/21/2024] Open
Abstract
Aims To investigate the differences between Indonesian urban and rural populations in the association of lifestyle and clinical factors with diabetes prevalence. Methods Using database of the 2018 Indonesian Basic Health Survey, which was conducted in April-May 2018, non-pregnant respondents aged ≥15 years old with available blood glucose data (n urban = 17,129, n rural = 16,585) were included in this study. The diagnosis of diabetes was based on the combination of known diabetes, i.e., a previous history of diabetes or use of anti-diabetes medication, and unknown diabetes based on blood glucose criteria. We performed logistic regression analyses separately for the urban and rural populations to examine the association of lifestyle and clinical factors with prevalent diabetes. Results Indonesian urban population was less physically active, had a lower proportion of adequate fruit and vegetable intake, and had higher individuals with obesity than rural population. Although there were no differences in the total prevalence of diabetes between the two populations (10.9 % vs. 11.0 %, for urban and rural, respectively), the prevalence of known diabetes was twice higher in urban than in rural population (3.8 % vs. 1.9 %). Physical activity was associated with lower risk of diabetes, especially in the urban population [prevalence OR (95 %CI): 0.91 (0.85; 0.98) for urban and 0.94 (0.89; 1.00) for rural). Obesity, hypertension, and dyslipidemia were risk factors for prevalent diabetes in both populations. Conclusions Indonesian rural population showed relatively better lifestyle and clinical profiles compared to their urban counterparts. However, no differences were observed between the two populations in the relation between risk factors and diabetes. Special attention needs to be addressed to the high prevalence of undiagnosed and untreated diabetes in Indonesia.
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Affiliation(s)
- Farid Kurniawan
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Fathimah S. Sigit
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Department of Public Health Nutrition, Faculty of Public Health Universitas Indonesia, Jakarta, Indonesia
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Em Yunir
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Tri Juli E. Tarigan
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Dante S. Harbuwono
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Pradana Soewondo
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Dicky L. Tahapary
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Metabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Dai Y, Qiu C, Zhang D, Li M, Liu W. Yam Gruel alone and in combination with metformin regulates hepatic lipid metabolism disorders in a diabetic rat model by activating the AMPK/ACC/CPT-1 pathway. Lipids Health Dis 2024; 23:28. [PMID: 38273354 PMCID: PMC10809441 DOI: 10.1186/s12944-024-02014-2] [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: 09/09/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND As independent and correctable risk factors, disturbances in lipid metabolism are significantly associated with type 2 diabetes mellitus (T2DM). This research investigated the mechanism underlying the lipid-regulating effects of Yam Gruel in diabetic rats. METHODS First, rats in the control group were given a normal diet, and a diabetic rat model was established via the consumption of a diet that was rich in both fat and sugar for six weeks followed by the intraperitoneal injection of streptozotocin (STZ). After the model was established, the rats were divided into five distinct groups: the control group, model group, Yam Gruel (SYZ) group, metformin (MET) group, and combined group; each treatment was administered for six weeks. The fasting blood glucose (FBG), body and liver weights as well as liver index of the rats were determined. Total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), aspartic acid transaminase (AST), alanine aminotransferase (ALT), and nonesterified fatty acid (NEFA) levels were measured. Oil Red O staining was used to assess hepatic steatosis. In addition, the levels of Phospho-acetyl-CoA carboxylase (p-ACC), acetyl coenzyme A carboxylase (ACC), AMP-activated protein kinase (AMPK), Phospho-AMPK (p-AMPK), carnitine palmitoyl transferase I (CPT-1), and Malonyl-CoA decarboxylase (MLYCD) in liver tissues were measured by real-time PCR (q-PCR) and western blotting. RESULTS After 6 weeks of treatment, Yam Gruel alone or in combination with metformin significantly reduced FBG level, liver weight and index. The concentrations of lipid indices (TG, TC, NEFA, and LDL-C), the levels of liver function indices (ALT and AST) and the degree of hepatic steatosis was improved in diabetic rats that were treated with Yam Gruel with or without metformin. Furthermore, Yam Gruel increased the protein levels of p-ACC/ACC, p-AMPK/AMPK, MLYCD, and CPT-1, which was consistent with the observed changes in gene expression. Additionally, the combination of these two agents was significantly more effective in upregulating the expression of AMPK pathway-related genes and proteins. CONCLUSIONS These results demonstrated that Yam Gruel may be a potential diet therapy for improving lipid metabolism in T2DM patients and that it may exert its effects via AMPK/ACC/CPT-1 pathway activation. In some respects, the combination of Yam Gruel and metformin exerted more benefits effects than Yam Gruel alone.
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Affiliation(s)
- Yanling Dai
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Chen Qiu
- Department of Endocrine, People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China
| | - Diandian Zhang
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Mianli Li
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Weinan Liu
- Department of Orthopedics, People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
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Yuan L, Verhoeven A, Blomberg N, van Eyk HJ, Bizino MB, Rensen PCN, Jazet IM, Lamb HJ, Rabelink TJ, Giera M, van den Berg BM. Ethnic Disparities in Lipid Metabolism and Clinical Outcomes between Dutch South Asians and Dutch White Caucasians with Type 2 Diabetes Mellitus. Metabolites 2024; 14:33. [PMID: 38248836 PMCID: PMC10819672 DOI: 10.3390/metabo14010033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/26/2023] [Accepted: 12/30/2023] [Indexed: 01/23/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) poses a higher risk for complications in South Asian individuals compared to other ethnic groups. To shed light on potential mediating factors, we investigated lipidomic changes in plasma of Dutch South Asians (DSA) and Dutch white Caucasians (DwC) with and without T2DM and explore their associations with clinical features. Using a targeted quantitative lipidomics platform, monitoring over 1000 lipids across 17 classes, along with 1H NMR based lipoprotein analysis, we studied 51 healthy participants (21 DSA, 30 DwC) and 92 T2DM patients (47 DSA, 45 DwC) from the MAGNetic resonance Assessment of VICTOza efficacy in the Regression of cardiovascular dysfunction in type 2 dIAbetes mellitus (MAGNA VICTORIA) study. This comprehensive mapping of the circulating lipidome allowed us to identify relevant lipid modules through unbiased weighted correlation network analysis, as well as disease and ethnicity related key mediatory lipids. Significant differences in lipidomic profiles, encompassing various lipid classes and species, were observed between T2DM patients and healthy controls in both the DSA and DwC populations. Our analyses revealed that healthy DSA, but not DwC, controls already exhibited a lipid profile prone to develop T2DM. Particularly, in DSA-T2DM patients, specific lipid changes correlated with clinical features, particularly diacylglycerols (DGs), showing significant associations with glycemic control and renal function. Our findings highlight an ethnic distinction in lipid modules influencing clinical outcomes in renal health. We discover distinctive ethnic disparities of the circulating lipidome and identify ethnicity-specific lipid markers. Jointly, our discoveries show great potential as personalized biomarkers for the assessment of glycemic control and renal function in DSA-T2DM individuals.
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Affiliation(s)
- Lushun Yuan
- Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.Y.); (P.C.N.R.); (T.J.R.)
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Aswin Verhoeven
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (A.V.); (N.B.); (M.G.)
| | - Niek Blomberg
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (A.V.); (N.B.); (M.G.)
| | - Huub J. van Eyk
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (H.J.v.E.); (I.M.J.)
| | - Maurice B. Bizino
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (M.B.B.); (H.J.L.)
| | - Patrick C. N. Rensen
- Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.Y.); (P.C.N.R.); (T.J.R.)
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (H.J.v.E.); (I.M.J.)
| | - Ingrid M. Jazet
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (H.J.v.E.); (I.M.J.)
| | - Hildo J. Lamb
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (M.B.B.); (H.J.L.)
| | - Ton J. Rabelink
- Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.Y.); (P.C.N.R.); (T.J.R.)
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Martin Giera
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (A.V.); (N.B.); (M.G.)
| | - Bernard M. van den Berg
- Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.Y.); (P.C.N.R.); (T.J.R.)
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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Mo Z, Han Y, Cao C, Huang Q, Hu Y, Yu Z, Hu H. Association between non-high-density lipoprotein to high-density lipoprotein ratio and reversion to normoglycemia in people with impaired fasting glucose: a 5-year retrospective cohort study. Diabetol Metab Syndr 2023; 15:259. [PMID: 38105214 PMCID: PMC10726583 DOI: 10.1186/s13098-023-01237-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023] Open
Abstract
OBJECTIVE The relationship between the non-high-density lipoprotein to high-density lipoprotein ratio (non-HDL-c/HDL-c ratio) and changes in glycemic status as well as the development of type 2 diabetes mellitus (T2DM) has been well established. However, there is a lack of evidence concerning the association between the non-HDL-c/HDL-c ratio and the reversal of normoglycemia in individuals with impaired fasting glucose (IFG). Therefore, this study aimed to examine the connection between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia among people with IFG. METHODS This retrospective cohort study examined data collected from 15,524 non-selective participants with IFG at the Rich Healthcare Group in China between January 2010 and 2016. The Cox proportional-hazards regression model was used to investigate the connection between the baseline non-HDL-c/HDL-c ratio and the probability of reverting to normoglycemia. We were able to discover the non-linear association between the non-HDL-c/HDL-c ratio and reversion to normoglycemia using a Cox proportional hazards regression model with cubical spline smoothing. We also performed several sensitivity and subgroup analyses. A competing risk multivariate Cox regression was utilized as well to examine the development to diabetes as a competing risk for the reversal of normoglycemic events. RESULTS In our study, a total of 15,524 individuals participated, with a mean age of 50.9 ± 13.5 years, and 64.7% were male. The average baseline non-HDL-c/HDL-c ratio was 2.9 ± 0.9. Over a median follow-up period of 2.9 years, we observed a reversion rate to normoglycemia of 41.8%. After adjusting for covariates, our findings revealed a negative association between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia (HR = 0.71, 95% CI 0.69-0.74). Notably, we identified a non-linear relationship between the non-HDL-c/HDL-c ratio and the probability of transitioning from IFG to normoglycemia. We found an inflection point at a non-HDL-c/HDL-c ratio of 3.1, with HRs of 0.63 (95% CI 0.69, 0.74) on the left side and 0.78 (95% CI 0.74, 0.83) on the right side of the point. Competing risks multivariate Cox's regression, sensitivity analysis, and subgroup analysis consistently supported our robust results. CONCLUSION Our study has revealed a negative and non-linear relationship between the non-HDL-c/HDL-c ratio and reversion to normoglycemia in Chinese people with IFG. Specifically, when the non-HDL-c/HDL-c ratio was below 3.1, a significant and negative association with reversion to normoglycemia was observed. Furthermore, keeping the non-HDL-c/HDL-c ratio below 3.1 significantly elevated the probability of returning to normoglycemia.
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Affiliation(s)
- Zihe Mo
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong, China
- Department of Emergency, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, 518000, Guangdong, China
| | - Qingli Huang
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, 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.
| | - Zhiqun Yu
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China.
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital, No.3002 Sungang Road, Futian District, Shenzhen, 518000, Guangdong, China.
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China.
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11
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Wang GHM, Morris E, Vouri SM, Keshwani S, Schmidt S, Pepine CJ, Smith SM. Modifiable statin characteristics associated with potential statin-related prescribing cascades. Pharmacotherapy 2023; 43:1307-1316. [PMID: 37771303 DOI: 10.1002/phar.2883] [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: 05/02/2023] [Revised: 08/11/2023] [Accepted: 09/07/2023] [Indexed: 09/30/2023]
Abstract
STUDY OBJECTIVE Clinicians may prescribe new medications (marker drug) to treat statin-related (index drug) adverse events, constituting a prescribing cascade. We aimed to identify modifiable statin characteristics (intensity and individual statin agents) associated with lower risk of prescribing cascades to inform clinical decisions in the presence of statin-related adverse events. DESIGN A secondary analysis based on our previous work, a high-throughput sequence symmetry analysis screening for potential statin-related prescribing cascades. DATA SOURCE MarketScan Commercial and Medicare Supplemental Insurance claims databases between 2005 and 2019. PATIENTS Adults who initiated a statin between 2007 and 2018, and who were continuously enrolled in the same healthcare plan for at least 720 days before and 360 days after statin initiation. INTERVENTION Among the previously identified 57 potential prescribing cascades, 42 statin-marker class dyad with a sample size of ≥ 500 were assessed in this study. MEASUREMENTS We measured patients' baseline characteristics within -360 days of statin initiation and reported by modifiable statin characteristics. We also performed logistic regression and reported the adjusted odds ratios (aOR) with 95% confidence intervals (CI) of modifiable statin characteristics after adjusting for baseline characteristics. MAIN RESULTS We identified 1,307,867 statin initiators who met the study criteria (21% elderly, 52% female). Compared with patients initiating low-intensity statins, those initiating moderate- or high-intensity statins had significantly greater odds to develop 29 (69%) prescribing cascades, including antidiabetic drugs such as dipeptidyl peptidase 4 (DPP-4) inhibitors (aOR 1.22; 95% CI, 1.11-1.35) and glucagon-like peptide-1 (GLP-1) analogs (aOR 1.31; 95% CI, 1.16-1.47), and opioids (aOR 1.18; 95% CI, 1.13-1.23). Individual statin agent selection also had a differential effect on 34 (81%) of the prescribing cascades. For example, compared with simvastatin initiators, the probability of initiating osmotically acting laxatives was significantly higher for lovastatin initiators (aOR 1.09; 95% CI, 1.03-1.15) and significantly lower in atorvastatin initiators (aOR 0.92; 95% CI, 0.89-0.94). CONCLUSION Compared with low-intensity statins, high-intensity statins are associated with increased risk in many potential prescribing cascades, while the choice of individual statin agents affects the risk of prescribing cascades bidirectionally.
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Affiliation(s)
- Grace Hsin-Min Wang
- Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Earl Morris
- Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
| | - Scott M Vouri
- Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
| | - Shailina Keshwani
- Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Stephan Schmidt
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA
| | - Carl J Pepine
- Division of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
- Center for Integrative Cardiovascular and Metabolic Disease, University of Florida, Gainesville, Florida, USA
| | - Steven M Smith
- Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
- Division of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
- Center for Integrative Cardiovascular and Metabolic Disease, University of Florida, Gainesville, Florida, USA
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12
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Garbuzova EV, Shcherbakova LV, Rymar OD, Khudiakova AD, Shramko VS, Ragino YI. Triglycerides, Obesity and Education Status Are Associated with the Risk of Developing Type 2 Diabetes in Young Adults, Cohort Study. J Pers Med 2023; 13:1403. [PMID: 37763170 PMCID: PMC10533043 DOI: 10.3390/jpm13091403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND It is important to determine the influence of traditional risk factors on the development of type 2 diabetes mellitus (T2DM) in young adults. Goal of the research: To study the incidence of T2DM and factors that increase the risk of its occurrence during the observation of a cohort of young adults. MATERIALS AND METHODS 1341 people aged 25-44 were included in the study from 2013 to 2017, of whom 622 were men (46.4%). The examination included anamnesis, anthropometric data, and a blood test. Cases of developed T2DM were identified by comparing the Diabetes Mellitus Register, medical records of patients, and the database of examined individuals from 2019 to 2023. T2DM Results: In the examined population, 11 participants (0.82%) developed T2DM. The prevalence of T2DM was 0.96% in men and 0.69% in women. Patients with T2DM had a higher waist circumference, BMI, SBP, TG, and lower HDL than patients without T2DM, and were also less likely to have a higher education. The risk of developing T2DM increases 6.5 times at a BMI of ≥30 kg/m2, and 5.2 times at a TG level of ≥1.7 mmol/L, regardless of other risk factors. In the absence of a higher education, the risk of developing T2DM is increased by 5.6 times. CONCLUSION In young people, high triglyceride levels, obesity, and a low level of education are associated with the risk of developing type 2 diabetes, regardless of other factors.
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Affiliation(s)
| | | | | | | | | | - Yulia I. Ragino
- Research Institute of Internal and Preventive Medicine—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (IIPM—Branch of IC&G SB RAS), 630089 Novosibirsk, Russia; (E.V.G.); (L.V.S.); (O.D.R.); (A.D.K.); (V.S.S.)
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13
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Yin B, Wu Z, Xia Y, Xiao S, Chen L, Li Y. Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study. Cardiovasc Diabetol 2023; 22:157. [PMID: 37386500 PMCID: PMC10311747 DOI: 10.1186/s12933-023-01886-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/12/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Although there is numerous evidence on the epidemiological risk factors for insulin resistance (IR)-related metabolic diseases, there is still insufficient evidence to explore the non-linear association of Atherogenic Index of Plasma (AIP) with IR. Therefore, we aimed to elucidate the non-linear relationship between AIP and IR and type 2 diabetes (T2D). METHODS This cross-sectional study was conducted in the National Health and Nutrition Survey (NHANES) from 2009 to 2018. A total of 9,245 participants were included in the study. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included IR and T2D defined by the 2013 American Diabetes Association guidelines. The weighted multivariate linear regression, weighted multivariate logistic regression, subgroup analysis, generalized additive model, smooth fitting curve and two-part logistic regression were adopted to reveal the relationship of AIP with IR and T2D. RESULTS After adjustment for age, gender, race, education level, smoking status, alcohol consumption, vigorous/moderate physical activity, body mass index, waist circumference and hypertension, we found that AIP was positively associated with fasting blood glucose (β = 0.08, 95% CI: 0.06, 0.10), glycosylated hemoglobin (β = 0.04, 95% CI: 0.39, 0.58), fasting serum insulin (β = 4.26, 95% CI: 3.73, 4.79), and homeostasis model assessment of insulin resistance (β = 0.22, 95% CI: 0.18, 0.25). Further studies found that AIP was associated with increased risk of IR (OR = 1.29, 95% CI: 1.26-1.32) and T2D (OR = 1.18, 95% CI: 1.15-1.22). However, the positive association between AIP and IR or T2D was more significant in female than in male (IR: P for interaction = 0.0135; T2D: P for interaction = 0.0024). A non-linear and inverse L-shaped association was found between AIP and IR, while a J-shaped association was found between AIP and T2D. In patients with - 0.47 < AIP < 0.45, increased AIP was significantly associated with increased risk of IR and T2D. CONCLUSIONS AIP showed an inverse L-shaped association with IR and a J-shaped association with T2D, indicating that AIP should be reduced to a certain level to prevent IR and T2D.
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Affiliation(s)
- Bei Yin
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Zihong Wu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610000, China
| | - Yaqing Xia
- Department of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine (The Second Affiliated Hospital, Guangzhou University of Chinese Medicine), Guangzhou, 510000, China
| | - Shunqiang Xiao
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Lingling Chen
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
| | - Yousheng Li
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
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14
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Novau-Ferré N, Rojas M, Gutierrez-Tordera L, Arcelin P, Folch J, Papandreou C, Bulló M. Lipoprotein Particle Profiles Associated with Telomere Length and Telomerase Complex Components. Nutrients 2023; 15:nu15112624. [PMID: 37299586 DOI: 10.3390/nu15112624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
Telomere length (TL) is a well-known marker of age-related diseases. Oxidative stress and inflammation increase the rate of telomere shortening, triggering cellular senescence. Although lipoproteins could have anti-inflammatory and proinflammatory functional properties, the relationship between lipoprotein particles with TL and telomerase activity-related genes has not been investigated much. In this study, we assessed the associations of lipoprotein subfractions with telomere length, TERT, and WRAP53 expression in a total of 54 pre-diabetic subjects from the EPIRDEM study. We regressed TL, TERT, and WRAP53 on 12 lipoprotein subclasses, employing a Gaussian linear regression method with Lasso penalty to determine a lipoprotein profile associated with telomere-related parameters. The covariates included age, sex, body mass index (BMI), dyslipidemia, statin consumption, and physical activity leisure time. We identified a lipoprotein profile composed of four lipoprotein subfractions associated with TL (Pearson r = 0.347, p-value = 0.010), two lipoprotein subfractions associated with TERT expression (Pearson r = 0.316, p-value = 0.020), and five lipoprotein subfractions associated with WRAP53 expression (Pearson r = 0.379, p-value =0.005). After adjusting for known confounding factors, most lipoprotein profiles maintained the association with TL, TERT, and WRAP53. Overall, medium and small-sized HDL particles were associated with shorter telomeres and lower expression of TERT and WRAP53. Large HDL particles were associated with longer telomere and lower expression of WRAP53, but not with TERT. Our results suggest that the lipoprotein profiles are associated with telomere length, TERT, and WRAP53 expression and should be considered when assessing the risk of chronic diseases.
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Affiliation(s)
- Nil Novau-Ferré
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Melina Rojas
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Laia Gutierrez-Tordera
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Pierre Arcelin
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Atención Básica de Salud (ABS) Reus V. Centro de Atención Primaria Marià Fortuny, SAGESSA, 43204 Reus, Spain
| | - Jaume Folch
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28031 Madrid, Spain
| | - Christopher Papandreou
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Department of Nutrition and Dietetics Sciences, School of Health Sciences, Hellenic Mediterranean University (HMU), 72300 Siteia, Greece
| | - Mònica Bulló
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Atención Básica de Salud (ABS) Reus V. Centro de Atención Primaria Marià Fortuny, SAGESSA, 43204 Reus, Spain
- CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
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15
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Alidu H, Dapare PPM, Quaye L, Amidu N, Bani SB, Banyeh M. Insulin Resistance in relation to Hypertension and Dyslipidaemia among Men Clinically Diagnosed with Type 2 Diabetes. BIOMED RESEARCH INTERNATIONAL 2023; 2023:8873226. [PMID: 37274075 PMCID: PMC10238133 DOI: 10.1155/2023/8873226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/03/2023] [Accepted: 05/19/2023] [Indexed: 06/06/2023]
Abstract
Pathophysiologically, type 2 diabetes can result from insulin resistance or insulin insufficiency alone. It is unclear whether relative insulin shortage or pronounced insulin resistance is linked to poor cardiometabolic problems like obesity. Therefore, the objective of this study was to evaluate the relationship between insulin resistance (IR), hypertension, and dyslipidaemia, in men with type 2 diabetes mellitus. One hundred and twenty-one (121) type 2 diabetic men participated in this cross-sectional study, which was conducted between September 2018 and September 2019. Sociodemographic information was collected using a self-designed questionnaire. Anthropometric data were also taken and blood samples collected for estimation of insulin, glucose, and lipid concentrations. HOMA-IR was calculated from the fasting insulin and glucose values, and a HOMA - IR ≥ 2 was considered to indicate insulin resistance. Of the 121 participants, 39.7% were classified as insulin-resistant. Levels of total cholesterol (4.82 ± 1.2 mmol/L; p = 0.007 vs. 4.25 ± 1.1 mmol/L), LDL cholesterol (3.17 ± 0.9 mmol/L; p = 0.001 vs. 2.52 ± 0.8 mmol/L), and TC/HDL-C ratio (3.93 ± 0.9; p = 0.042 vs. 3.58 ± 0.9) and the prevalence of abnormal LDL-C (14.6%; p = 0.015 vs. 2.7%) and elevated BP (83.3%; p = 0.048 vs. 67.1%) were higher in the insulin-resistant group. LDL cholesterol (AUC = 0.670; p = 0.001) better classified subjects as being insulin-resistant compared to other lipid markers. The odds of insulin resistance in dyslipidaemia were not statistically significant after adjusting for obesity. The link between insulin resistance and dyslipidaemia and hypertension in male diabetics may thus be mediated by obesity.
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Affiliation(s)
- Huseini Alidu
- Department of Medical Laboratory Science, University of Health and Allied Sciences, Ho, Ghana
| | | | - Lawrence Quaye
- Department of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana
| | - Nafiu Amidu
- Department of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana
| | - Simon Bannison Bani
- Department of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana
| | - Moses Banyeh
- Department of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana
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16
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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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He L, Zheng W, Li Z, Kong W, Zeng T. Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study. Lipids Health Dis 2023; 22:24. [PMID: 36788551 PMCID: PMC9930254 DOI: 10.1186/s12944-023-01790-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Studies have reported that lipid-derived indicators are associated with type 2 diabetes (T2D) in various populations; however, it is unclear which lipid-derived indicators could effectively predict T2D risk. Therefore, this study aimed to explore the association between four lipid-derived indicators and T2D risk. METHODS This was a post-hoc analysis from a large cohort that included data from 114,700 Chinese individuals aged 20 years and older from 11 cities and 32 sites. The association between four lipid-derived indicators and T2D risk was determined using Kaplan-Meier (KM) survival curves, Cox regression, and restricted cubic spline analyses. This study used receiver operating characteristic (ROC) curves for assessing the ability of four lipid-derived indicators to accurately predict the development of T2D during follow-up. RESULTS This study included a total of 114,700 participants, with a mean age of 44.15. These individuals were followed up for 3.1 years, of which 2668 participants developed T2D. ROC curve analysis showed that TyG was the most robust predictor of 3-year [aera under the ROC (AUC) = 0.77, 95% CI: 0.768, 0.772] and 5-year T2D risk (AUC = 0.763, 95% CI: 0.760, 0.765). In addition, sensitivity analysis showed an association between TyG and an increased incidence of T2D. CONCLUSIONS The results suggest that TyG was a superior for predicting the risk of developing T2D in the general Chinese population.
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Affiliation(s)
- Linfeng He
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Wenbin Zheng
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Zeyu Li
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Wen Kong
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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18
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Huh JH, Roh E, Lee SJ, Ihm SH, Han KD, Kang JG. Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study. Diabetes Care 2023; 46:305-312. [PMID: 36469354 DOI: 10.2337/dc22-1550] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/31/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Although the atherogenic effect of remnant cholesterol (remnant-C) has been widely recognized, the relationship between remnant-C and glucose metabolism remains unclear. This retrospective, longitudinal study investigated the relationship between remnant-C and incident type 2 diabetes (T2D) in a nationwide cohort of Korean adults. RESEARCH DESIGN AND METHODS A total of 8,485,539 Korean adults without diabetes participated in the national health screening in 2009 and were followed up until 2019. The relationship between remnant-C quartiles and incident T2D was examined by Cox regression models. The risk of incident T2D over the continuum of remnant-C was examined with cubic spline analysis. RESULTS During the median follow-up period of 9.28 years, 584,649 individuals (6.8%) developed T2D. In multivariable-adjusted analyses, participants in the upper quartile of remnant-C had a higher risk of T2D, with hazard ratios of 1.25 (95% CI 1.24-1.27) in the second quartile, 1.51 (95% CI 1.50-1.53) in the third quartile, and 1.95 (95% CI 1.93-1.97) in the fourth quartile, compared with the lowest quartile. The increase in the risk of T2D owing to high remnant-C concentration was more profound in individuals with fewer traditional T2D risks, such as women, and absence of metabolic abnormalities, including impaired fasting glucose, hypertension, and atherogenic dyslipidemia. Moreover, the magnitude of the increased risk for incident T2D in individuals with higher remnant-C quartiles was higher in younger participants than older participants. CONCLUSIONS These findings indicate that remnant-C profiles provide additional information in predicting future progression of T2D, independent of the conventional lipid parameters.
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Affiliation(s)
- Ji Hye Huh
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Eun Roh
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Seong Jin Lee
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Sung-Hee Ihm
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, College of Natural Sciences, Soongsil University, Seoul, South Korea
| | - Jun Goo Kang
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
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19
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He B, Li Z, Xu L, Liu L, Wang S, Zhan S, Song Y. Upper arm length and knee height are associated with diabetes in the middle-aged and elderly: evidence from the China Health and Retirement Longitudinal Study. Public Health Nutr 2023; 26:190-198. [PMID: 35581171 PMCID: PMC11077445 DOI: 10.1017/s1368980022001215] [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: 12/06/2021] [Revised: 02/23/2022] [Accepted: 04/01/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To determine if limb lengths, as markers of early life environment, are associated with the risk of diabetes in China. DESIGN We performed a cohort analysis using data from the China Health and Retirement Longitudinal Study (CHARLS), and multivariable-adjusted Cox proportional hazard regression models were used to examine the associations between baseline limb lengths and subsequent risk of diabetes. SETTING The CHARLS, 2011-2018. PARTICIPANTS The study confined the eligible subject to 10 711 adults aged over 45 years from the CHARLS. RESULTS During a mean follow-up period of 6·13 years, 1358 cases of incident diabetes were detected. When controlling for potential covariates, upper arm length was inversely related to diabetes (hazard ratio (HR) 0·95, 95 % CI (0·91, 0·99), P = 0·028), and for every 1-cm difference in knee height, the risk of diabetes decreased by about 4 % (HR 0·96, 95 % CI (0·93, 0·99), P = 0·023). The association between upper arm length and diabetes was only significant among females while the association between knee height and diabetes was only significant among males. In analyses stratified by BMI, significant associations between upper arm length/knee height and diabetes only existed among those who were underweight (HR 0·91, 95 % CI (0·83, 1·00), P = 0·049, HR 0·92, 95 % CI (0·86, 0·99), P = 0·031). CONCLUSIONS Inverse associations were observed between upper arm length, knee height and the risk for diabetes development in a large Asian population, suggesting early life environment, especially infant nutritional status, may play an important role in the determination of future diabetes risk.
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Affiliation(s)
- Bingjie He
- Department of Epidemiology and Biostatistics, School of Public
Health, Peking University, 38 Xueyuan Road, Haidian District,
Beijing100191, People’s Republic of China
| | - Zhengyang Li
- Department of Endocrinology, Shandong Provincial Hospital
Affiliated to Shandong First Medical University, Huaiyin
District, Jinan, People’s Republic of China
| | - Lu Xu
- Department of Epidemiology and Biostatistics, School of Public
Health, Peking University, 38 Xueyuan Road, Haidian District,
Beijing100191, People’s Republic of China
| | - Lili Liu
- Department of Epidemiology and Biostatistics, School of Public
Health, Peking University, 38 Xueyuan Road, Haidian District,
Beijing100191, People’s Republic of China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public
Health, Peking University, 38 Xueyuan Road, Haidian District,
Beijing100191, People’s Republic of China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public
Health, Peking University, 38 Xueyuan Road, Haidian District,
Beijing100191, People’s Republic of China
- Research Center of Clinical Epidemiology, Peking
University Third Hospital, Haidian District, Beijing,
People’s Republic of China
- Center for Intelligent Public Health, Institute for Artificial
Intelligence, Peking University, Beijing,
People’s Republic of China
| | - Yongfeng Song
- Department of Endocrinology, Shandong Provincial Hospital
Affiliated to Shandong First Medical University, Huaiyin
District, Jinan, People’s Republic of China
- Shandong Institute of Endocrine & Metabolic Diseases,
Shandong First Medical University, Jinan,
People’s Republic of China
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20
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Ngatu NR, Ikeda M, Tonduangu DK, Nangana SL, Hirao T. Modulatory Effects of NBF1, an Algal Fiber-Rich Bioformula, on Adiponectin and C-Reactive Protein Levels, and Its Therapeutic Prospects for Metabolic Syndrome and Type-2 Diabetes Patients. Biomedicines 2022; 10:biomedicines10102572. [PMID: 36289836 PMCID: PMC9599379 DOI: 10.3390/biomedicines10102572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/09/2022] [Accepted: 10/10/2022] [Indexed: 12/04/2022] Open
Abstract
An unhealthy diet can lead to the development of metabolic disorders. C-reactive protein (CRP) has been reported to be an inflammatory component of metabolic disorders. Additionally, reduced adiponectin (APN) levels is known as a predictor of metabolic disorders. We report on the beneficial effects of NBF1, an algal fiber-rich formula, on CRP, APN, and diabetes markers. Additionally, associations between dietary nutrients, CRP, and APN were investigated. A dietary survey that used a brief self-administered diet history questionnaire, a validated 58-item fixed-portion-type questionnaire, and a 4-week placebo-controlled dietary intervention were carried out. The latter consisted of a twice daily intake of 3 g of sujiaonori alga-based powder as a supplement (NBF1, n = 16), whereas the placebo group received the same amount of corn starch powder (n = 15). CRP and APN levels were assayed by ELISA. Clinical cases comprising three subjects with metabolic disorders treated with NBF1, including two type 2 diabetes mellitus patients and one subject with hypercholesterolemia, are also reported. They received 2.1g NBF1 once daily for 12 weeks. Intakes of algal fiber and n-3 PUFA were positively associated with the increase of APN, and n-3PUFA intake was inversely associated with CRP. All cases had improved metabolic health profile.
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Affiliation(s)
- Nlandu Roger Ngatu
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa 761-0793, Japan
- Correspondence: (N.R.N.); (M.I.)
| | - Mitsunori Ikeda
- Wellness and Longevity Center, University of Kochi, Kochi 781-8515, Japan
- Correspondence: (N.R.N.); (M.I.)
| | - Daniel Kuezina Tonduangu
- Department of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Severin Luzitu Nangana
- Preventive Medicine Unit, Kimbanguist Hospital of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Tomohiro Hirao
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa 761-0793, Japan
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21
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Hu P, Zheng M, Duan X, Zhou H, Huang J, Lao L, Zhao Y, Li Y, Xue M, Zhao W, Deng H, Liu X. Association of healthy lifestyles on the risk of hypertension, type 2 diabetes mellitus, and their comorbidity among subjects with dyslipidemia. Front Nutr 2022; 9:1006379. [PMID: 36225875 PMCID: PMC9550234 DOI: 10.3389/fnut.2022.1006379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background Adherence to a healthy lifestyle could reduce the risk of hypertension and diabetes in general populations; however, whether the associations exist in subjects with dyslipidemia remains unclear. This study aimed to investigate the integrated effect of lifestyle factors on the risk of hypertension, type 2 diabetes mellitus (T2DM), and their comorbidity among subjects with dyslipidemia. Methods In total of 9,339 subjects with dyslipidemia were recruited from the baseline survey of the Guangzhou Heart Study. A questionnaire survey and medical examination were performed. The healthy lifestyle score (HLS) was derived from five factors: smoking, alcohol drinking, diet, body mass index, and leisure-time physical activity. Odds ratios (ORs) with 95% confidence interval (95% CI) were calculated by using the logistic regression model and the multinomial logistic regression after adjusting for confounders. Results The prevalence of hypertension, T2DM, and their comorbidity was 47.65, 16.02, and 10.10%, respectively. Subjects with a higher HLS were associated with a lower risk of hypertension, T2DM, and their comorbidity. In comparison to the subjects with 0–2 HLS, the adjusted ORs for subjects with five HLS was 0.48 (95% CI: 0.40–0.57) and 0.67 (95% CI: 0.54–0.84) for hypertension and T2DM. Compared with subjects with 0-2 HLS and neither hypertension nor T2DM, those with five HLS had a lower risk of suffering from only one disease (OR: 0.48, 95% CI: 0.40–0.57) and their comorbidity (OR: 0.35, 95% CI: 0.26–0.47). Conclusions The results suggest that the more kinds of healthy lifestyle, the lower the risk of hypertension, T2DM, and their comorbidity among subjects with dyslipidemia. Preventive strategies incorporating lifestyle factors may provide a more feasible approach for the prevention of main chronic diseases.
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Affiliation(s)
- Peng Hu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Murui Zheng
- Department of Community Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xueru Duan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huanning Zhou
- Department of Chronic Disease, Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Jun Huang
- Department of Geriatrics, Institute of Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Lixian Lao
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Yue Zhao
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yi Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meng Xue
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Wenjing Zhao
| | - Hai Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
- Hai Deng
| | - Xudong Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Xudong Liu
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22
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Kong L, Yu S, Gu L, Geng M, Zhang D, Cao H, Liu A, Wang Q, Wang S, Tao F, Liu K. Associations of typical antibiotic residues with elderly blood lipids and dyslipidemia in West Anhui, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113889. [PMID: 35853362 DOI: 10.1016/j.ecoenv.2022.113889] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 07/13/2022] [Accepted: 07/14/2022] [Indexed: 06/15/2023]
Abstract
Growing evidence has indicated the association of clinical antibiotic use with abnormal blood lipid levels; however, no epidemiological study has examined the relationship of antibiotic exposure, probably derived from food chains, with blood lipid levels. This study investigated the relationships of urinary antibiotic levels with blood lipid levels and dyslipidemias in the older population. Baseline data of 960 participants from the Cohort of Elderly Health and Environment Controllable Factors were used in the present study. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was performed to detect antibiotic residues in the urine samples of the participants. Our findings revealed that each 1 μg/g increase in enrofloxacin and ciprofloxacin levels was associated with an increase of 0.084 (95 % confidence interval (CI): 0.030, 0.139) and 0.049 (95 % CI: 0.012, 0.086) in triglyceride levels, respectively. Enrofloxacin was associated with an increased risk of hypertriglyceridemia. Each 1 μg/g increase in the enrofloxacin level corresponded to an increase of 0.052 (95 % CI: 0.006, 0.098) in the low-density lipoprotein cholesterol level. Furthermore, florfenicol exposure increased the risks of both hyperbetalipoproteinemia and hypoalphalipoproteinemia. By contrast, each 1 μg/g increase in sulfaclozine and doxycycline levels was associated with a - 0.062 (95 % CI: -0.111, -0.020), and - 0.083 (95 % CI: -0.160, -0.007) decrease in total cholesterol levels, respectively. Sulfaclozine was closely related to a decreased risk of hypercholesterolemia. Stratification analysis revealed specific differences in the correlation between antibiotic exposure and lipid levels based on the waist circumference (WC) values of the participants. Except for sulfaclozine and doxycycline, other antibiotics exerted adverse effects on lipid levels and increased dyslipidemia prevalence. The older participants with higher WC values were vulnerable to antibiotic exposure. Therefore, an appropriate understanding of the epidemiological attributes of antibiotic residues is indispensable to prevent abdominal obesity in the older population.
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Affiliation(s)
- Li Kong
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Shuixin Yu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Lvfen Gu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Menglong Geng
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Dongmei Zhang
- School of Health Management, Anhui Medical University, 230032 Anhui, China
| | - Hongjuan Cao
- Lu'an Center of Disease Control and Prevention, Lu'an, Anhui 237000, China
| | - Annuo Liu
- School of Nursing, Anhui Medical University, Hefei 230032, Anhui, China
| | - Qunan Wang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Sufang Wang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China.
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China.
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23
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Cao C, Hu H, Zheng X, Zhang X, Wang Y, He Y. Association between central obesity and incident diabetes mellitus among Japanese: a retrospective cohort study using propensity score matching. Sci Rep 2022; 12:13445. [PMID: 35927472 PMCID: PMC9352654 DOI: 10.1038/s41598-022-17837-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Previous evidence revealed that central obesity played a vital role in the development of diabetes mellitus (DM). However, because of imbalanced confounding variables, some studies have not wholly established the association between central obesity and diabetes. Propensity score matching (PSM) analysis can minimize the impact of potential confounding variables. Therefore, the aim of the present study was to explore the relationship between central obesity and diabetes in the Japanese population by using PSM analysis. This retrospective cohort study included 15,453 Japanese adults who were free of diabetes at baseline between 2004 and 2015, which provided all medical records for individuals participating in the physical exam. Central obesity at baseline was an independent variable, and incident diabetes during follow-up was an outcome variable. Using a 1:1 PSM analysis, the present retrospective cohort study included 1639 adults with and without central obesity. Additionally, we employed a doubly robust estimation method to identify the association between central obesity and diabetes. Subjects with central obesity were 92% more likely to develop DM (HR = 1.65, 95%CI 1.12, 2.41). After adjusting for covariates, subjects with central obesity had a 72% increased risk of developing DM compared with subjects with non-central obesity in the PSM cohort (HR = 1.72, 95% CI 1.16, 2.56). Central obesity individuals had a 91% higher risk of DM than non-central obesity individuals, after adjustment for propensity score (HR = 1.91, 95% CI 1.29, 2.81). In sensitivity analysis, the central obesity group had a 44% (HR = 1.44, 95% CI 1.09, 1.90) and 59% (HR = 1.59, 95% CI1.35, 1.88) higher risk of DM than the non-central obesity group in the original and weighted cohorts after adjusting for confounding variables, respectively. Central obesity was independently associated with an increased risk of developing diabetes. After adjustment for confounding covariates, central obesity participants had a 72% higher risk of development of diabetes than non-central obesity individuals in the PSM cohort.
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Affiliation(s)
- Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Xiaodan Zheng
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, Guangdong, China
| | - Xiaohua Zhang
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China
| | - Yulong Wang
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China.
| | - Yongcheng He
- Department of Nephrology, Shenzhen Hengsheng Hospital, No. 20 Yintian Road, Xixiang Street, Baoan District, Shenzhen, 518000, Guangdong, China. .,Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Nanchong, 637000, Sichuan, China.
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Abstract
Dietary habits play an important role in the development of obesity and type 2 diabetes. However, evidence on association between diet frequency and type 2 diabetes was limited and inconclusive. We aimed to examine the association between meal frequency and risk of type 2 diabetes. The cohort study used data from China Health and Retirement Longitudinal Study of 8874 community-dwelling people aged over 45 years. Participants were classified as eating two meals per day, three meals per day and four meals per day. Multiple Poisson regression models were used to examine risk of 4-year incident type 2 diabetes among people who ate more or less than three meals per day compared with people who ate three meals per day. We documented 706 type 2 diabetes cases during follow-up. After adjustment for known risk factors for type 2 diabetes, except for BMI, participants who ate four meals per day were at a lower risk of type 2 diabetes than those who ate three meals per day (relative risk(RR) = 0·73 (0·58, 0·92)). After further adjustment for baseline BMI, the association was slightly attenuated but remained statistically significant (RR = 0·76 (0·60, 0·97)). Subgroup analysis showed that the fully adjusted RR of type 2 diabetes for people eating four meals per day were 0·66 (0·48, 0·91) and 0·93 (0·65, 1·34) among those had a BMI < 25 and ≥ 25 kg/m2, respectively. Eating four meals per day, compared with eating three meals per day was associated with lower risk of developing type 2 diabetes in a Chinese population, particularly in those with a BMI < 25 kg/m2.
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25
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Liu L, Hou X, Song A, Guan Y, Tian P, Wang C, Ren L, Tang Y, Gao L, Xing X, Song G. Oral fat tolerance testing identifies abnormal pancreatic β-cell function and insulin resistance in individuals with normal glucose tolerance. J Diabetes Investig 2022; 13:1805-1813. [PMID: 35678496 DOI: 10.1111/jdi.13867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 05/05/2022] [Accepted: 06/03/2022] [Indexed: 11/30/2022] Open
Abstract
AIMS/INTRODUCTION Insulin sensitivity and β-cell function are affected by lipid metabolism disorders, even before the onset of type 2 diabetes. People are in the postprandial state most of the time. Therefore, identifying postprandial hyperlipemia is important. This study aimed to assess patients with abnormalities in lipid metabolism, but with normal glucose tolerance, using oral fat tolerance testing (OFTT) to identify defects in insulin sensitivity and β-cell function. MATERIALS AND METHODS We included 248 volunteers with normal glucose tolerance who underwent OFTT. They were divided into three groups in accordance with their fasting and 4-h postprandial triglyceride (TG) concentrations. Their lipid concentrations during OFTT were compared. The disposition index (DI) was applied to estimate β-cell function, and the Matsuda insulin sensitivity index (ISIM ) was used to assess insulin sensitivity. We used multiple linear regression analysis to estimate the relationships of fasting and postprandial TG concentrations with β-cell function and insulin sensitivity . RESULTS The changes in TG concentrations during OFTT were more marked than those in low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol or total cholesterol concentrations. As lipid metabolism deteriorated, the ISIM and the DI gradually decreased. Multiple linear regression analysis showed that fasting and 4-h postprandial TG concentrations affected LnISIM and LnDI. CONCLUSIONS In individuals with normal glucose tolerance, β-cell function and insulin sensitivity gradually decrease with a deterioration in the lipid profile. Not only fasting TG, but also postprandial TG concentrations are independent risk factors for impaired β-cell function and insulin resistance.
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Affiliation(s)
- Lifang Liu
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China.,Department of Endocrinology, Baoding First Central Hospital, Baoding, Hebei, China
| | - Xiaoyu Hou
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - An Song
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yunpeng Guan
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Peipei Tian
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, China
| | - Chao Wang
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Luping Ren
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Yong Tang
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Ling Gao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Xiaoping Xing
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Guangyao Song
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
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26
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Yang T, Liu Y, Li L, Zheng Y, Wang Y, Su J, Yang R, Luo M, Yu C. Correlation between the triglyceride-to-high-density lipoprotein cholesterol ratio and other unconventional lipid parameters with the risk of prediabetes and Type 2 diabetes in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol 2022; 21:93. [PMID: 35659300 PMCID: PMC9166647 DOI: 10.1186/s12933-022-01531-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/18/2022] [Indexed: 11/25/2022] Open
Abstract
Objective Type 2 diabetes mellitus (T2DM) is often accompanied by undiagnosed dyslipidemia. Research on the association of unconventional lipid markers with prediabetes (pre-DM) and T2DM simultaneously is limited in coronary heart disease (CHD) patients. Methods This study included 28,476 patients diagnosed with CHD. Their lipid levels, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured, and non-traditional lipid parameters were calculated. The patients were divided into three groups based on the diabetic status including normoglycemic (NG), pre-DM, and T2DM. Multiple logistic regression was used to compare the association of TG/HDL-C and other non-traditional lipid parameters with pre-DM and T2DM. The tertiles of TG/HDL-C included T1 (TG/HDL-C < 1.10), T2 (1.10 ≤ TG/HDL-C ≤ 1.89) and T3 (TG/HDL-C > 1.89). Low and high TG/HDL-C was defined with sex-specific cutoff points. Results Multiple logistic regression results showed that the non-traditional lipid parameters, including non-HDL-C, LDL-C/HDL-C, TC/HDL-C, non-HDL-C/HDL-C and TG/HDL-C, were all correlated with the risk of pre-DM and T2DM. Meanwhile TG/HDL-C showed the strongest correlation (odds ratio [OR]: 1.19; 95% confidence interval [CI] 1.16–1.23), (OR: 1.36; 95% CI 1.33–1.39). When dividing TG/HDL-C into tertiles, using T1 as a reference, T3 was observed to have the highest association with both pre-DM and T2DM (OR: 1.60; 95% CI 1.48–1.74), (OR: 2.79; 95% CI 2.60–3.00). High TG/HDL-C was significantly associated with pre-DM and T2DM (OR: 1.69; 95% CI 1.52–1.88), (OR: 2.85; 95% CI 2.60–3.12). The association of TG/HDL-C with T2DM and pre-DM existed across different sex, age, smoking, and drinking statuses. Conclusion Elevated non-traditional lipid parameters were significantly associated with pre-DM and T2DM in CHD patients, especially TG/HDL-C. High TG/HDL-C was the risk factor with a strong correlation with the risk of pre-DM and T2DM.
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27
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Shi LJ, Tang X, He J, Shi W. Genetic Evidence for a Causal Relationship between Hyperlipidemia and Type 2 Diabetes in Mice. Int J Mol Sci 2022; 23:ijms23116184. [PMID: 35682864 PMCID: PMC9181284 DOI: 10.3390/ijms23116184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/24/2022] [Accepted: 05/29/2022] [Indexed: 02/01/2023] Open
Abstract
Dyslipidemia is considered a risk factor for type 2 diabetes (T2D), yet studies with statins and candidate genes suggest that circulating lipids may protect against T2D development. Apoe-null (Apoe-/-) mouse strains develop spontaneous dyslipidemia and exhibit a wide variation in susceptibility to diet-induced T2D. We thus used Apoe-/- mice to elucidate phenotypic and genetic relationships of circulating lipids with T2D. A male F2 cohort was generated from an intercross between LP/J and BALB/cJ Apoe-/- mice and fed 12 weeks of a Western diet. Fasting, non-fasting plasma glucose, and lipid levels were measured and genotyping was performed using miniMUGA arrays. We uncovered a major QTL near 60 Mb on chromosome 15, Nhdlq18, which affected non-HDL cholesterol and triglyceride levels under both fasting and non-fasting states. This QTL was coincident with Bglu20, a QTL that modulates fasting and non-fasting glucose levels. The plasma levels of non-HDL cholesterol and triglycerides were closely correlated with the plasma glucose levels in F2 mice. Bglu20 disappeared after adjustment for non-HDL cholesterol or triglycerides. These results demonstrate a causative role for dyslipidemia in T2D development in mice.
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Affiliation(s)
- Lisa J. Shi
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, USA; (L.J.S.); (J.H.)
| | - Xiwei Tang
- Department of Statistics, University of Virginia, Charlottesville, VA 22908, USA;
| | - Jiang He
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, USA; (L.J.S.); (J.H.)
| | - Weibin Shi
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, USA; (L.J.S.); (J.H.)
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA
- Correspondence: ; Tel.: +434-243-9420; Fax: +434-982-5680
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28
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Fernandez ML, Murillo AG. Is There a Correlation between Dietary and Blood Cholesterol? Evidence from Epidemiological Data and Clinical Interventions. Nutrients 2022; 14:nu14102168. [PMID: 35631308 PMCID: PMC9143438 DOI: 10.3390/nu14102168] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/18/2022] [Accepted: 05/20/2022] [Indexed: 11/25/2022] Open
Abstract
Dietary cholesterol has been a topic of debate since the 1960s when the first dietary guidelines that limited cholesterol intake to no more than 300 mg/day were set. These recommendations were followed for several years, and it was not until the late 1990s when they were finally challenged by the newer information derived from epidemiological studies and meta-analysis, which confirmed the lack of correlation between dietary and blood cholesterol. Further, dietary interventions in which challenges of cholesterol intake were evaluated in diverse populations not only confirmed these findings but also reported beneficial effects on plasma lipoprotein subfractions and size as well as increases in HDL cholesterol and in the functionality of HDL. In this review, we evaluate the evidence from recent epidemiological analysis and meta-analysis as well as clinical trials to have a better understanding of the lack of correlation between dietary and blood cholesterol.
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Affiliation(s)
- Maria Luz Fernandez
- Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06268, USA
- Correspondence:
| | - Ana Gabriela Murillo
- Department of Biochemistry, University of Costa Rica, San Jose 11501-2060, Costa Rica;
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