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Gumede NAC, Khathi A. The Role of Pro-Opiomelanocortin Derivatives in the Development of Type 2 Diabetes-Associated Myocardial Infarction: Possible Links with Prediabetes. Biomedicines 2024; 12:314. [PMID: 38397916 PMCID: PMC10887103 DOI: 10.3390/biomedicines12020314] [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: 12/14/2023] [Revised: 01/14/2024] [Accepted: 01/23/2024] [Indexed: 02/25/2024] Open
Abstract
Myocardial infarction is a major contributor to CVD-related mortality. T2DM is a risk factor for MI. Stress activates the HPA axis, SNS, and endogenous OPS. These POMC derivatives increase the blood glucose and cardiovascular response by inhibiting the PI3K/AkT insulin signaling pathway and increasing cardiac contraction. Opioids regulate the effect of the HPA axis and SNS and they are cardioprotective. The chronic activation of the stress response may lead to insulin resistance, cardiac dysfunction, and MI. Stress and T2DM, therefore, increase the risk of MI. T2DM is preceded by prediabetes. Studies have shown that prediabetes is associated with an increased risk of MI because of inflammation, hyperlipidemia, endothelial dysfunction, and hypertension. The HPA axis is reported to be dysregulated in prediabetes. However, the SNS and the OPS have not been explored during prediabetes. The effect of prediabetes on POMC derivatives has yet to be fully explored and understood. The impact of stress and prediabetes on the cardiovascular response needs to be investigated. This study sought to review the potential impact of prediabetes on the POMC derivatives and pathways that could lead to MI.
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Affiliation(s)
- Nompumelelo Anna-Cletta Gumede
- Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban X54001, South Africa;
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Zhang H, Zeng T, Zhang J, Zheng J, Min J, Peng M, Liu G, Zhong X, Wang Y, Qiu K, Tian S, Liu X, Huang H, Surmach M, Wang P, Hu X, Chen L. Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China. Front Endocrinol (Lausanne) 2024; 15:1292346. [PMID: 38332892 PMCID: PMC10850228 DOI: 10.3389/fendo.2024.1292346] [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: 09/11/2023] [Accepted: 01/11/2024] [Indexed: 02/10/2024] Open
Abstract
Objective Insulin plays a central role in the regulation of energy and glucose homeostasis, and insulin resistance (IR) is widely considered as the "common soil" of a cluster of cardiometabolic disorders. Assessment of insulin sensitivity is very important in preventing and treating IR-related disease. This study aims to develop and validate machine learning (ML)-augmented algorithms for insulin sensitivity assessment in the community and primary care settings. Methods We analyzed the data of 9358 participants over 40 years old who participated in the population-based cohort of the Hubei center of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals). Three non-ensemble algorithms and four ensemble algorithms were used to develop the models with 70 non-laboratory variables for the community and 87 (70 non-laboratory and 17 laboratory) variables for the primary care settings to screen the classifier of the state-of-the-art. The models with the best performance were further streamlined using top-ranked 5, 8, 10, 13, 15, and 20 features. Performances of these ML models were evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPR), and the Brier score. The Shapley additive explanation (SHAP) analysis was employed to evaluate the importance of features and interpret the models. Results The LightGBM models developed for the community (AUROC 0.794, AUPR 0.575, Brier score 0.145) and primary care settings (AUROC 0.867, AUPR 0.705, Brier score 0.119) achieved higher performance than the models constructed by the other six algorithms. The streamlined LightGBM models for the community (AUROC 0.791, AUPR 0.563, Brier score 0.146) and primary care settings (AUROC 0.863, AUPR 0.692, Brier score 0.124) using the 20 top-ranked variables also showed excellent performance. SHAP analysis indicated that the top-ranked features included fasting plasma glucose (FPG), waist circumference (WC), body mass index (BMI), triglycerides (TG), gender, waist-to-height ratio (WHtR), the number of daughters born, resting pulse rate (RPR), etc. Conclusion The ML models using the LightGBM algorithm are efficient to predict insulin sensitivity in the community and primary care settings accurately and might potentially become an efficient and practical tool for insulin sensitivity assessment in these settings.
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Affiliation(s)
- Hao Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jiaoyue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Juan Zheng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jie Min
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Miaomiao Peng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Geng Liu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Xueyu Zhong
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Ying Wang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Kangli Qiu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Shenghua Tian
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Xiaohuan Liu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Hantao Huang
- Department of Emergency Medicine, Yichang Yiling Hospital, Yichang, China
| | - Marina Surmach
- Department of Public Health and Health Services, Grodno State Medical University, Grodno, Belarus
| | - Ping Wang
- Precision Health Program, Department of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, United States
| | - Xiang Hu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Lulu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
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Liu L, Peng J, Wang N, Wu Z, Zhang Y, Cui H, Zang D, Lu F, Ma X, Yang J. Comparison of seven surrogate insulin resistance indexes for prediction of incident coronary heart disease risk: a 10-year prospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1290226. [PMID: 38323107 PMCID: PMC10844492 DOI: 10.3389/fendo.2024.1290226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
Background There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population. Methods This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC). Results During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667). Conclusion The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.
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Affiliation(s)
- Li Liu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jie Peng
- Department of Geriatric Medicine, Qilu Hospital of Shandong University, Key Laboratory of Cardiovascular Proteomics of Shandong Province, Jinan, China
| | - Ning Wang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhenguo Wu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Yerui Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Shandong Academy of Medical Sciences, Jinan, China
| | - Xiaoping Ma
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Obstetrics and Gynecology, LiaoCheng People’s Hospital, Liaocheng, China
| | - Jianmin Yang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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Ding Z, Ge M, Tan Y, Chen C, Hei Z. The triglyceride-glucose index: a novel predictor of stroke and all-cause mortality in liver transplantation recipients. Cardiovasc Diabetol 2024; 23:27. [PMID: 38218842 PMCID: PMC10787491 DOI: 10.1186/s12933-023-02113-x] [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: 11/29/2023] [Accepted: 12/29/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, identified as a reliable indicator of insulin resistance (IR), was reported to be associated with stroke recurrence and morbidity in the general population and critically ill patients. However, the relationship in liver transplantation (LT) recipients remains unknown. This study aimed to investigate the correlation between the TyG index and post-LT stroke along with all-cause mortality and further assess the influence of IR on the LT recipients' prognosis. METHODS The retrospective cohort study enrolled 959 patients who underwent LT at a university-based medical centre between January 2015 and January 2021. The participants were divided into three groups according to their TyG index tertiles. The primary outcome was post-LT stroke. Multivariate logistic regression, COX proportional hazards regression, and restricted cubic spline RCS were used to examine the association between the TyG index and outcomes in LT recipients. RESULTS With a median TyG index of 8.23 (7.78-8.72), 780 (87.18% males) patients were eventually included. The incidence of post-LT stroke was 5.38%, and the in-hospital, 1-year, and 3-year mortality rates were 5.54%, 13.21%, and 15.77%, respectively. Multivariate regression analysis showed an independent association between the TyG index and an increased risk of post-LT stroke [adjusted odds ratio (aOR), 3.398 (95% confidence interval [CI]: 1.371-8.426) P = 0. 008], in-hospital mortality [adjusted hazard ratio (aHR), 2.326 (95% CI: 1.089-4.931) P = 0.025], 1-year mortality [aHR, 1.668 (95% CI: 1.024-2.717) P = 0.039], and 3-year mortality [aHR, 1.837 (95% CI: 1.445-2.950) P = 0.012]. Additional RCS analysis also suggested a linear increase in the risk of postoperative stroke with elevated TyG index (P for nonlinearity = 0.480). CONCLUSIONS The TyG index may be a valuable and reliable indicator for assessing stroke risk and all-cause mortality in patients undergoing LT, suggesting its potential relevance in improving risk stratification during the peri-LT period.
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Affiliation(s)
- Zhendong Ding
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China
| | - Mian Ge
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China
| | - Yuexiang Tan
- SageRAN Technology, No. 9-11 Keyun Road, Guangzhou, 510000, China
| | - Chaojin Chen
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
- Center of Big Data and Artificial Intelligence, The Third Affiliated Hospital of Sun Yat-sen University, No.600 Tianhe Road, Guangzhou, 510630, China.
| | - Ziqing Hei
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
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Yang X, Li K, Wen J, Yang C, Li Y, Xu G, Ma Y. Association of the triglyceride glucose-body mass index with the extent of coronary artery disease in patients with acute coronary syndromes. Cardiovasc Diabetol 2024; 23:24. [PMID: 38218893 PMCID: PMC10790264 DOI: 10.1186/s12933-024-02124-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/05/2024] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Studies have shown that insulin resistance is strongly associated with the development of cardiovascular disease, and the triglyceride glucose-body mass index (TyG-BMI index) is considered to be a reliable surrogate marker of insulin resistance. There are limited studies on the relationship between TyG-BMI index and the extent of coronary artery disease in patients with acute coronary syndrome (ACS). This study aimed to investigate the relationship between TyG-BMI index and the extent of coronary artery disease in patients with ACS. METHODS Overall, 2,317 patients with ACS who underwent percutaneous coronary intervention at the Affiliated Hospital of Zunyi Medical University were included in this study. The TyG-BMI index was grouped according to the tertile method. The extent of coronary artery disease in patients with ACS was quantitatively assessed using the SYNTAX score, which was categorised as low (≤ 22), intermediate (23-32), and high risk (≥ 33). RESULTS In the overall population, multivariate logistic regression analyses showed that TyG-BMI index was associated with mid/high SYNTAX score in patients with ACS (odds ratio [OR] = 1.0041; 95% confidence interval [CI] = 1.0000-1.0079; p = 0.0310). Subgroup analyses showed that TyG-BMI index was an independent risk factor for mid/high SYNTAX score in female ACS patients after adjusting for multiple confounders (OR = 1.0100; 95% CI = 1.0000-1.0200; p = 0.0050), and that the risk of mid/high SYNTAX score was 2.49 times higher in the T3 group (OR = 2.4900; 95% CI = 1.2200-5.0600; p = 0.0120). Restricted cubic spline analysis showed a linear correlation between TyG-BMI index and complex coronary artery disease (SYNTAX score > 22) in women with ACS. In female ACS patients, inclusion of the TyG-BMI index did not improve the predictive power of the underlying risk model (net reclassification improvement: 0.0867 [-0.0256-0.1989], p = 0.1301; integrated discrimination improvement: 0.0183 [0.0038-0.0329], p = 0.0135). CONCLUSIONS TyG-BMI index is linearly associated with the degree of complex coronary artery disease in female ACS patients. However, the inclusion of the TyG-BMI index did not improve the predictive power of the underlying risk model for female ACS patients.
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Affiliation(s)
- Xueyuan Yang
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Kui Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Jiaojiao Wen
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Changlong Yang
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Yunhang Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Guanxue Xu
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China
| | - Yi Ma
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, Guizhou, 563099, China.
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Niu B, Pan T, Xiao Y, Wang H, Zhu J, Tian F, Lu W, Chen W. The therapeutic potential of dietary intervention: based on the mechanism of a tryptophan derivative-indole propionic acid on metabolic disorders. Crit Rev Food Sci Nutr 2024:1-20. [PMID: 38189263 DOI: 10.1080/10408398.2023.2299744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Tryptophan (TRP) contributes to individual immune homeostasis and good condition via three complex metabolism pathways (5-hydroxytryptamine (5-HT), kynurenine (KP), and gut microbiota pathway). Indole propionic acid (IPA), one of the TRP derivatives of the microbiota pathway, has raised more attention because of its impact on metabolic disorders. Here, we retrospect increasing evidence that TRP metabolites/IPA derived from its proteolysis impact host health and disease. IPA can activate the immune system through aryl hydrocarbon receptor (AHR) and/or Pregnane X receptor (PXR) as a vital mediator among diet-caused host and microbe cross-talk. Different levels of IPA in systemic circulation can predict the risk of NAFLD, T2DM, and CVD. IPA is suggested to alleviate cognitive impairment from oxidative damage, reduce gut inflammation, inhibit lipid accumulation and attenuate the symptoms of NAFLD, putatively enhance the intestinal epithelial barrier, and maintain intestinal homeostasis. Now, we provide a general description of the relationships between IPA and various physiological and pathological processes, which support an opportunity for diet intervention for metabolic diseases.
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Affiliation(s)
- Ben Niu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Tong Pan
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Yue Xiao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Hongchao Wang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Jinlin Zhu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Fengwei Tian
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Wenwei Lu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Wei Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
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Dang K, Wang X, Hu J, Zhang Y, Cheng L, Qi X, Liu L, Ming Z, Tao X, Li Y. The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003-2018. Cardiovasc Diabetol 2024; 23:8. [PMID: 38184598 PMCID: PMC10771672 DOI: 10.1186/s12933-023-02115-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/29/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied. METHODS This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships. RESULTS In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21-2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66-3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77-3.17), congestive heart failure (OR 2.14, 95% CI 1.31-3.51), and angina pectoris (OR 2.38, 95% CI 1.43-3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45-3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships. CONCLUSIONS TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification.
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Affiliation(s)
- Keke Dang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xuanyang Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Jinxia Hu
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Yuntao Zhang
- MED-X Institute, Center for Immunological and Metabolic Diseases (CIMD), First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710000, China
| | - Licheng Cheng
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xiang Qi
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Lin Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Zhu Ming
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xinmiao Tao
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Ying Li
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China.
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Wang Y, Chen X, Shi J, Du M, Li S, Pang J, Qiao J, Zhao Y, Chen Q, Guo Y, Xi Y, Chi W. Relationship between triglyceride-glucose index baselines and trajectories with incident cardiovascular diseases in the elderly population. Cardiovasc Diabetol 2024; 23:6. [PMID: 38172936 PMCID: PMC10765625 DOI: 10.1186/s12933-023-02100-2] [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: 11/01/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is regarded as a sophisticated surrogate biomarker for insulin resistance, offering a refined means for evaluating cardiovascular diseases (CVDs). However, prospective cohort studies have not simultaneously conducted baseline and multi-timepoint trajectory assessments of the TyG index in relation to CVDs and their subtypes in elderly participants. METHODS After excluding data deficiencies and conditions that could influence the research outcomes, this study ultimately incorporated a cohort of 20,185 participants, with data chronicles extending from 2016 to 2022. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Latent Class Trajectory Model (LCTM) was used to assess the change trends of the TyG index over multiple time points. Utilizing the Cox proportional-hazards models, we assessed the relationship between the baseline quartiles of the TyG index and various trajectories with CVDs and subtypes. RESULTS During the mean follow-up time of 4.25 years, 11,099 patients experienced new CVDs in the elderly population. After stratifying by baseline TyG quartiles, the higher TyG level was associated with an increased risk of CVDs; the aHR and 95% CI for the highest quartile group were 1.28 (1.19-1.39). Five trajectory patterns were identified by the LCTM model. The low gradual increase group as the reference, the medium stable group, and the high gradual increase group exhibited an elevated risk of CVDs onset, aHR and 95%CIs were 1.17 (1.10-1.25) and 1.25 (1.15-1.35). Similar results were observed between the trajectories of the TyG index with subtypes of CVDs. CONCLUSION Participants with high levels of baseline TyG index and medium stable or high gradual increase trajectories were associated with an elevated risk of developing CVDs in elderly populations.
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Affiliation(s)
- Yue Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Jinan, 250012, Shandong, China
| | - Xueyu Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Jie Shi
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Mingyi Du
- Department of Mailman Public Health, Columbia University, New York, USA
| | - Shengnan Li
- Taian Municipal Hospital, Taian, Shandong, China
| | - Jinhong Pang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Junpeng Qiao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yingying Zhao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qiaoqiao Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuanyuan Guo
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Jinan, 250012, Shandong, China
| | - Yan Xi
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Jinan, 250012, Shandong, China.
| | - Weiwei Chi
- National Administration of Health Data, No.77 Yuhan Road, Jinan, 250002, Shandong, China.
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Nichols AR, Rifas-Shiman SL, Switkowski KM, Zhang M, Young JG, Hivert MF, Chavarro JE, Oken E. History of Infertility and Midlife Cardiovascular Health in Female Individuals. JAMA Netw Open 2024; 7:e2350424. [PMID: 38180761 PMCID: PMC10770770 DOI: 10.1001/jamanetworkopen.2023.50424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 11/16/2023] [Indexed: 01/06/2024] Open
Abstract
Importance Fertility status is a marker for future health, and infertility has been associated with risk for later cancer and diabetes, but associations with midlife cardiovascular health (CVH) in female individuals remain understudied. Objective To evaluate the association of infertility history with CVH at midlife (approximately age 50 years) among parous individuals. Design, Setting, and Participants Project Viva is a prospective cohort study of pregnant participants enrolled between 1999 and 2002 who delivered a singleton live birth in the greater Boston, Massachusetts, area. Infertility history was collected at a midlife visit between 2017 and 2021, approximately 18 years after enrollment. Data analysis was performed from January to June 2023. Exposures The primary exposure was any lifetime history of infertility identified by self-report, medical record, diagnosis, or claims for infertility treatment. Main Outcomes and Measures The American Heart Association's Life's Essential 8 (LE8) is a construct for ranking CVH that includes scores from 0 to 100 (higher scores denote better health status) in 4 behavioral (diet, physical activity, sleep, and smoking status) and 4 biomedical (body mass index, blood pressure, blood lipids, and glycemia) domains to form an overall assessment of CVH. Associations of a history of infertility (yes or no) with mean LE8 total, behavioral, biomedical, and blood biomarker (lipids and glycemia) scores were examined, adjusting for age at outcome (midlife visit), race and ethnicity, education, household income, age at menarche, and perceived body size at age 10 years. Results Of 468 included participants (mean [SD] age at the midlife visit, 50.6 [5.3] years) with exposure and outcome data, 160 (34.2%) experienced any infertility. Mean (SD) LE8 scores were 76.3 (12.2) overall, 76.5 (13.4) for the behavioral domain, 76.0 (17.5) for the biomedical domain, and 78.9 (19.2) for the blood biomarkers subdomain. In adjusted models, the estimated overall LE8 score at midlife was 2.94 points lower (95% CI, -5.13 to -0.74 points), the biomedical score was 4.07 points lower (95% CI, -7.33 to -0.78 points), and the blood subdomain score was 5.98 points lower (95% CI, -9.71 to -2.26 points) among those with vs without history of infertility. The point estimate also was lower for the behavioral domain score (β = -1.81; 95% CI, -4.28 to 0.66), although the result was not statistically significant. Conclusions and Relevance This cohort study of parous individuals found evidence for an association between a history of infertility and lower overall and biomedical CVH scores. Future study of enhanced cardiovascular preventive strategies among those who experience infertility is warranted.
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Affiliation(s)
- Amy R. Nichols
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Karen M. Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Mingyu Zhang
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Jessica G. Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Jorge E. Chavarro
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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He Y, Bai Y, Huang Q, Xia J, Feng J. Identification of potential biological processes and key genes in diabetes-related stroke through weighted gene co-expression network analysis. BMC Med Genomics 2024; 17:8. [PMID: 38166912 PMCID: PMC10762844 DOI: 10.1186/s12920-023-01752-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/23/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is an established risk factor for acute ischemic stroke (AIS). Although there are reports on the correlation of diabetes and stroke, data on its pathogenesis is limited. This study aimed to explore the underlying biological mechanisms and promising intervention targets of diabetes-related stroke. METHODS Diabetes-related datasets (GSE38642 and GSE44035) and stroke-related datasets (GSE16561 and GSE22255) were obtained from the Gene Expression omnibus (GEO) database. The key modules for stroke and diabetes were identified by weight gene co-expression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes Genomes (KEGG) analyses were employed in the key module. Genes in stroke- and diabetes-related key modules were intersected to obtain common genes for T2DM-related stroke. In order to discover the key genes in T2DM-related stroke, the Cytoscape and protein-protein interaction (PPI) network were constructed. The key genes were functionally annotated in the Reactome database. RESULTS By intersecting the diabetes- and stroke-related crucial modules, 24 common genes for T2DM-related stroke were identified. Metascape showed that neutrophil extracellular trap formation was primarily enriched. The hub gene was granulin precursor (GRN), which had the highest connectivity among the common genes. In addition, functional enrichment analysis indicated that GRN was involved in neutrophil degranulation, thus regulating neutrophil extracellular trap formation. CONCLUSIONS This study firstly revealed that neutrophil extracellular trap formation may represent the common biological processes of diabetes and stroke, and GRN may be potential intervention targets for T2DM-related stroke.
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Affiliation(s)
- Yong He
- Department of Neurology, Liuyang Jili Hospital, Changsha, Hunan, China
| | - Yang Bai
- Department of Hematology and Critical Care Medicine, Central South University, The Third Xiangya Hospital, Changsha, China
| | - Qin Huang
- Department of Neurology, Peking University People's Hospital, Beijing, 100044, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
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Forner P, Snaith J, Greenfield JR. Prescribing patterns of adjunctive therapy for the treatment of type 1 diabetes mellitus among Australian endocrinologists. Intern Med J 2023. [PMID: 38158765 DOI: 10.1111/imj.16312] [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: 09/25/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Many people living with type 1 diabetes (type 1 diabetes mellitus (T1DM)) do not meet glycaemic targets. Adjunctive therapies have both risks and metabolic benefits and may have a role in selected patients. AIM To review the prescribing patterns of adjunctive therapy for the treatment of T1DM diabetes in Australia. METHODS We conducted an online survey of Australian endocrinologists and endocrinology registrars. We surveyed the frequency of, motivations and concerns regarding the prescription of metformin, dipeptidyl peptidase-4 (DPP-IV) inhibitors, sodium-glucose transport protein 2 (SGLT-2) inhibitors and glucagon-like peptide 1 receptor agonist (GLP1RA) in T1DM. RESULTS Fifty-two practitioners participated. Most respondents (94%) had prescribed adjuncts for the treatment of T1DM in some form. Weight (89%), large insulin doses (73%), glycaemic variability (52%), high HbA1c (48%) and the presence of cardiovascular disease (48%) were the most common factors determining the use of adjuncts. The most commonly prescribed adjuncts were metformin (94%) and SGLT-2 inhibitors (65%). Respondents who had never prescribed an SGLT-2 inhibitor (n = 18) reported risk of diabetic ketoacidosis (DKA) (100%), off-label status (39%), lack of evidence (39%), withdrawal of support from the European Medicines Agency (17%) and cost (17%) as factors contributing to their decision. Thirty-one respondents (60%) had prescribed a GLP1RA. Among those who had never prescribed a GLP1RA (n = 21), off-label status (57%), lack of evidence (48%), cost (38%) and expected lack of efficacy (14%) were factors affecting their decision. Only five respondents (10%) had prescribed a DPP-IV inhibitor. CONCLUSION Australian endocrinologists commonly prescribe adjuncts to address cardiometabolic concerns in T1DM. DKA risk and off-label status are significant factors contributing to reluctance to prescribe.
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Affiliation(s)
- Patrice Forner
- Department of Diabetes and Endocrinology, St Vincent's Hospital, Sydney, New South Wales, Australia
- St Vincent's Healthcare Campus, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Jennifer Snaith
- Department of Diabetes and Endocrinology, St Vincent's Hospital, Sydney, New South Wales, Australia
- St Vincent's Healthcare Campus, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Clinical Diabetes, Appetite and Metabolism, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Jerry R Greenfield
- Department of Diabetes and Endocrinology, St Vincent's Hospital, Sydney, New South Wales, Australia
- St Vincent's Healthcare Campus, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Clinical Diabetes, Appetite and Metabolism, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
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Cheng W, Cai C, Xu Y, Xiao X, Shi T, Liao Y, Wang X, Chen S, Zhou M, Liao Z. The TRIM21-FOXD1-BCL-2 axis underlies hyperglycaemic cell death and diabetic tissue damage. Cell Death Dis 2023; 14:825. [PMID: 38092733 PMCID: PMC10719266 DOI: 10.1038/s41419-023-06355-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 11/26/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023]
Abstract
Chronic hyperglycaemia is a devastating factor that causes diabetes-induced damage to the retina and kidney. However, the precise mechanism by which hyperglycaemia drives apoptotic cell death is incompletely known. Herein, we found that FOXD1, a FOX family transcription factor specifically expressed in the retina and kidney, regulated the transcription of BCL-2, a master regulator of cell survival. Intriguingly, the protein level of FOXD1, which responded negatively to hyperglycaemic conditions, was controlled by the TRIM21-mediated K48-linked polyubiquitination and subsequent proteasomal degradation. The TRIM21-FOXD1-BCL-2 signalling axis was notably active during diabetes-induced damage to murine retinal and renal tissues. Furthermore, we found that tartary buckwheat flavonoids effectively reversed the downregulation of FOXD1 protein expression and thus restored BCL-2 expression and facilitated the survival of retinal and renal tissues. In summary, we identified a transcription factor responsible for BCL-2 expression, a signalling axis (TRM21-FOXD1-BCL-2) underlying hyperglycaemia-triggered apoptosis, and a potential treatment for deleterious diabetic complications.
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Affiliation(s)
- Wenwen Cheng
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Cifeng Cai
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Yifan Xu
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Xueqi Xiao
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Tiantian Shi
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Yueling Liao
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Xiaoyi Wang
- First Affiliated Hospital of Huzhou University, Huzhou, 313000, China
| | - Shasha Chen
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China.
| | - Meiliang Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Zhiyong Liao
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China.
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Sun J, Wang N, Li S, Li M, Zhang A, Qin B, Bao Q, Cheng B, Cai S, Wang S, Zhu P. Estimated glucose disposal rate and risk of arterial stiffness and long-term all-acuse mortality: a 10-year prospective study. J Epidemiol Community Health 2023; 78:jech-2023-220664. [PMID: 38123967 DOI: 10.1136/jech-2023-220664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND To assess the applicability of the association between estimated glucose disposal rate (eGDR) and all-cause mortality in the elderly population, and the mediating role of brachial-ankle pulse wave velocity (baPWV). METHODS This was a follow-up cohort study based on the cross-sectional survey of community-dwelling elderly. All participants in the study were included between September 2009 and June 2010, and the follow-up time was December 2020. Participants included 1862 Chinese community-dwelling elderly aged 60 years and above. Insulin resistance assessed by eGDR and arterial stiffness assessed by baPWV were the primary exposures of interest. Mortality, which was followed up until December 2020, was the primary outcome. Cox proportional hazards regression models were used to estimate the association of eGDR with mortality. The mediating effect of baPWV in this association was assessed by mediation analysis. RESULTS A total of 1826 participants with a mean age of 71.03 years old were included in the study. During the median follow-up of 10.75 years, 334 participants died. The adjusted HR comparing the highest versus the lowest eGDR quartile was 0.22 (95% CI 0.09 to 0.54; p<0.001) in the Cox proportional hazards model. The results of mediation analysis showed that baPWV had a significant mediation impact on the link between eGDR and all-cause mortality both as continuous or categorical variables. CONCLUSION eGDR is an independent predictor of all-cause mortality in the elderly population. baPWV partially mediated the association of eGDR and long-term all-cause mortality as a mediator factor.
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Affiliation(s)
- Jin Sun
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Ning Wang
- Jinan Seventh People's Hospital, Jinan, Shandong, China
| | | | - Man Li
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Anhang Zhang
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Bangguo Qin
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Qiligeer Bao
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Bokai Cheng
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Shuang Cai
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Shuxia Wang
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ping Zhu
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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Tang X, Chen X, Wang H, Yang J, Li L, Zhu J, Liu Y. Virtual Screening Technology for Two Novel Peptides in Soybean as Inhibitors of α-Amylase and α-Glucosidase. Foods 2023; 12:4387. [PMID: 38137191 PMCID: PMC10743026 DOI: 10.3390/foods12244387] [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: 11/06/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Soybean peptides (SPs) have bioactivities of enzyme inhibition that are beneficial to human health, but their mechanism is not clear. This study aimed to identify peptide fragments in SPs that simultaneously inhibit α-amylase and α-glucosidase and to explore their enzyme inhibition mechanism. Firstly, the inhibitory activity of SPs against the enzymes was determined. And two octapeptides, LDQTPRVF and SRNPIYSN, were identified for the first time by using HPLC-QTOF-MS/MS and virtual screening. Molecular simulation results showed that hydrogen bonds and π-π bonds were the key factors, and the N-terminal (Leu and Ser) and C-terminal (Phe) of peptide were important inhibiting sites. Both octapeptides were synthesized, and their IC50 values were 3.08 and 5.58 mmol/L for α-amylase, and 2.52 and 4.57 mmol/L for α-glucosidase, respectively. This study provided evidence for SPs as a potential inhibitor of α-amylase and α-glucosidase in special dietary foods.
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Affiliation(s)
- Xiyao Tang
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China (Y.L.)
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xu Chen
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China (Y.L.)
| | - Hong Wang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Jinyi Yang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Lin Li
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China (Y.L.)
| | - Jie Zhu
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China (Y.L.)
| | - Yujia Liu
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China (Y.L.)
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Britton RC, Beamish NF. The Impact of Testosterone Therapy on Cardiovascular Risk Among Postmenopausal Women. J Endocr Soc 2023; 8:bvad132. [PMID: 38178905 PMCID: PMC10765381 DOI: 10.1210/jendso/bvad132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Indexed: 01/06/2024] Open
Abstract
Purpose To summarize the current state of knowledge surrounding the impact of testosterone therapy on cardiovascular risk factors in postmenopausal women. Methodology In this scoping review, a comprehensive search of peer-reviewed literature was conducted in adherence to a methodological framework comprising 4 distinct stages: conceptualizing a comprehensive search strategy, screening relevant publications, extracting pertinent data, and organizing and synthesizing the resultant findings. The search used electronic databases, including MEDLINE, Embase, and Google Scholar, to ensure an exhaustive survey of the available literature. Results The database search yielded 150 articles, including systematic reviews, registered trials, and peer-reviewed studies, of which 48 duplicates were removed. Following the title/abstract screening, 36 publications were included in the full-text review. On completion of the full-text review, using the inclusion/exclusion criteria, 29 articles were excluded and 7 remained for data extraction and qualitative synthesis. Main Conclusion Existing research provides promising insights into the benefits of low-dose testosterone therapy, typically combined with estrogen therapy. These benefits may include positive impacts on body composition, functional capacity, insulin sensitivity, inflammatory markers, and cholesterol. However, there remains a substantial lack of knowledge surrounding the effects and mechanisms behind testosterone therapy in postmenopausal women in relation to its impacts on cardiovascular risk. High-quality, evidence-based clinical intervention research is needed to investigate testosterone therapy's potential implication on cardiovascular risk factors in post-menopausal women.
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Affiliation(s)
- Rhys C Britton
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Nicole F Beamish
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
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Cao Q, Yang F, Lian X, Li X, Li Z. Analysis of risk factors for abdominal aortic calcification in dialysis patients and its influence on long-term recovery. J Investig Med 2023; 71:845-853. [PMID: 37485956 DOI: 10.1177/10815589231190565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
This study investigated the risk factors of abdominal aortic calcification (AAC) in patients with stage 5 chronic kidney disease (CKD) and the effects of AAC and different dialysis methods on the 3-year survival rate of patients with stage 5 CKD. A retrospective cohort study was conducted on stage 5 CKD patients who received dialysis treatment. The general data were collected, and all fasting venous blood samples were harvested before the first dialysis to detect biochemical markers. The AAC was evaluated by lateral abdominal X-ray. The patients were followed up with a cut-off date of March 31, 2022, with all-cause mortality as the endpoint event. A total of 205 patients were included. multivariable Cox regression analysis confirmed that AAC (hazard ratio (HR) = 2.173, 95% CI 1.029-4.588, p = 0.042), advanced age (HR = 1.061, 95% CI 1.031-1.093, p < 0.001), duration of dialysis (HR = 1.015, 95% CI 1.007-1.032, p < 0.001), diabetes (HR = 3.966, 95% CI 2.164-7.269, p < 0.001), and hypertension (HR = 1.897, 95% CI 1.089-3.303, p = 0.024) were independent risk factors for 3-year mortality. However, peritoneal dialysis (HR = 0.366, 95% CI 0.165-0.812, p = 0.013), high albumin (HR = 0.882, 95% CI 0.819-0.950, p = 0.001), and high hemoglobin (HR = 0.969, 95% CI 0.942-0.997, p = 0.031) were protective factors for 3-year mortality in stage 5 CKD patients. Increased age, long-term dialysis, high level of intact parathyroid hormone, diabetes, and hypertension are closely related to the occurrence of AAC in patients with stage 5 CKD. In addition, AAC is an independent risk factor for all-cause mortality in patients with stage 5 CKD.
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Affiliation(s)
- Qianying Cao
- Department of Nephrology, Beiiing Luhe Hospital, Capital Medical University, Beijing, China
| | - Fan Yang
- Department of Nephrology, Beiiing Luhe Hospital, Capital Medical University, Beijing, China
| | - Xiaoying Lian
- Department of Nephrology, Beiiing Luhe Hospital, Capital Medical University, Beijing, China
| | - Xiangnan Li
- Department of Geriatrics, Aerospace Center Hospital (ASCH), Beijing, China
| | - Zhongxin Li
- Department of Nephrology, Beiiing Luhe Hospital, Capital Medical University, Beijing, China
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Yang M, Zhang Q, Ge YZ, Tang M, Zhang X, Song MM, Ruan GT, Zhang XW, Zhang KP, Shi HP. Association between insulin resistance related indicators with the prognosis of patients with colorectal cancer. Cancer Epidemiol 2023; 87:102478. [PMID: 37856934 DOI: 10.1016/j.canep.2023.102478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND The progression of colorectal cancer (CRC) has been linked to metabolism alteration. Because insulin resistance (IR) is the basic mechanism of metabolism alteration, IR related indicators are considered to be associated with prognostic of CRC. In this study, we compared the prognostic values of common IR related indicators for CRC and selected the best one. Moreover, we explored the association between that indicator and CRC prognosis and possible interactive covariates. METHODS Medical records of patients with CRC (n = 1765) were retrieved from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. We compared the prognostic values of IR related indicators and select the best one using concordance index (C-index) and area under curve (AUC). Using Cox proportional hazard regression models, we evaluated the association between that indicator and CRC prognosis. Interaction tests were performed to evaluate possible interactions among covariates and the IR related indicator. RESULTS Results of C-index and AUC indicated that the ratio of low-density lipoprotein-to-high-density lipoprotein (LHR) showed the highest ability to predict the prognosis of patients with CRC. LHR independently predicted CRC prognosis [hazard ratio (HR) = 1.14; 95 % confidence interval (CI) = 1.05-1.22; P = 0.001]. The interactions between LHR, and age (<65 vs. ≥65; P for interaction = 0.001) or neutrocyte-to-lymphocyte ratio (NLR) (<3 vs. ≥3; P for interaction = 0.055) were also observed. CONCLUSION LHR was found to be the best IR related indicators to predict prognosis of CRC, and it was negatively correlated with the prognosis of patients with CRC. NLR and aging might interact with LHR.
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Affiliation(s)
- Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China.
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Ding H, Zhu J, Tian Y, Xu L, Song L, Shi Y, Mu D, Chen R, Liu H, Liu B. Relationship between the triglyceride-glucose index and coronary artery calcification in asymptomatic, non-diabetic patients undergoing maintenance hemodialysis. Ren Fail 2023; 45:2200849. [PMID: 37133817 PMCID: PMC10158539 DOI: 10.1080/0886022x.2023.2200849] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
OBJECTIVE Coronary artery calcification (CAC) is positively and independently associated with cardiovascular disease (CVD) in patients undergoing maintenance hemodialysis (MHD). Insulin resistance is independently associated with CAC and is an important risk factor for CVD. The triglyceride-glucose (TyG) index is a reliable biomarker of insulin resistance. This cross-sectional, observational study aimed to investigate the relationship between the TyG index and CAC in asymptomatic non-diabetic patients undergoing MHD. METHODS The quantitative coronary artery calcification score (CACS) was calculated and expressed using the Agatston score. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Multiple Poisson regression analysis, Spearman correlation analysis, and receiver operating characteristic (ROC) curves were used to investigate the relationship between the TyG index and CAC. RESULTS The 151 patients were divided into three groups according to the tertiles of the TyG index. With an increase in the TyG index, the CACS significantly increased (Spearman's rho = 0.414, p < 0.001). Poisson regression analysis indicated that the TyG index was independently related to the presence of CAC (prevalence ratio, 1.281 [95% confidence interval, 1.121-1.465], p < 0.001). Furthermore, ROC curve analysis showed that the TyG index was of value in predicting the CAC in asymptomatic non-diabetic patients undergoing MHD, with an area under the curve of 0.667 (p = 0.010). CONCLUSION The TyG index is independently related to the presence of CAC in asymptomatic, non-diabetic patients undergoing MHD.
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Affiliation(s)
- Hong Ding
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Jinhua Zhu
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Ying Tian
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Li Xu
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Lei Song
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Ying Shi
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Dongxing Mu
- Institute of Nephrology, People's Hospital of Yangzhong city, Zhenjiang, Jiangsu Province, China
| | - Ruoxin Chen
- Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China
| | - Hong Liu
- Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China
| | - Bicheng Liu
- Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China
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Tao S, Yu L, Li J, Xie Z, Huang L, Yang D, Tan Y, Zhang W, Huang X, Xue T. Prognostic value of triglyceride-glucose index in patients with chronic coronary syndrome undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:322. [PMID: 38017540 PMCID: PMC10685592 DOI: 10.1186/s12933-023-02060-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/10/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been proposed as a reliable surrogate marker of insulin resistance and an independent predictor of major adverse cardiovascular events (MACEs). Several recent studies have shown the relationship between the TyG index and cardiovascular outcomes; however, the role of the TyG index in chronic coronary syndrome (CCS) progression has not been extensively assessed especially in population after revascularization. This study aimed to investigate the prognostic value of the TyG index in predicting MACEs in CCS patients undergoing percutaneous coronary intervention (PCI). METHODS The data for the study were taken from the Hospital Information System database in China-Japan Friendship Hospital over the period 2019-2021. Eligible participants were divided into groups according to the TyG index tertiles. The Boruta algorithm was performed for feature selection. Multivariate Cox proportional hazards models and restricted cubic spline (RCS) analysis were applied to examine the dose-response relationship between the TyG index and endpoint, and the results were expressed with hazard ratio (HR) and 95% confidence interval (CI) values. The area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis (DCA), and clinical impact curve (CIC) were plotted to comprehensively evaluate the predictive accuracy and clinical value of the model. The goodness-of-fit of models was evaluated using the calibration curve and χ2 likelihood ratio test. RESULTS After applying inclusion and exclusion criteria, 1353 patients with CCS undergoing PCI were enrolled in the study. After adjusting for all confounders, we found that those with the highest TyG index had a 59.5% increased risk of MACEs over the 1-year follow-up (HR 1.595, 95% CI 1.370 ~ 1.855). Using the lowest TyG index tertile as the reference (T1), the fully adjusted HRs (95% CIs) for endpoints was 1.343 (1.054 ~ 1.711) in the middle (T2) and 2.297 (1.842 ~ 2.864) in highest tertile (T3) (P for trend < 0.001). The TyG index had an excellent predictive performance according to the results of AUC 0.810 (0.786, 0.834) and χ2 likelihood ratio test (χ2 = 7.474, P = 0.486). DCA and CIC analysis also suggested a good overall net benefit and clinical impact of the multivariate model. The results in the subgroup analysis were consistent with the main analyses. RCS model demonstrated that the TyG index was nonlinearly associated with the risk of MACEs within one year (P for nonlinear < 0.001). CONCLUSION The elevated TyG index is associated with an increased risk of cardiovascular events and predicts future MACEs in patients with CCS undergoing PCI independently of known cardiovascular risk factors, indicating that the TyG index may be a potential marker for risk stratification and prognosis in CCS patients undergoing PCI.
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Affiliation(s)
- Shiyi Tao
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Lintong Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Jun Li
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Zicong Xie
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Li Huang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Deshuang Yang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Yuqing Tan
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Wenjie Zhang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Xuanchun Huang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tiantian Xue
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Zheng R, Qian S, Shi Y, Lou C, Xu H, Pan J. Association between triglyceride-glucose index and in-hospital mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database. Cardiovasc Diabetol 2023; 22:307. [PMID: 37940931 PMCID: PMC10634031 DOI: 10.1186/s12933-023-02041-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 10/21/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND This study aimed to explore the association between the triglyceride-glucose (TyG) index and the risk of in-hospital mortality in critically ill patients with sepsis. METHODS This was a retrospective observational cohort study and data were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC IV2.2) database. The participants were grouped into three groups according to the TyG index tertiles. The primary outcome was in-hospital all-cause mortality. Multivariable logistics proportional regression analysis and restricted cubic spline regression was used to evaluate the association between the TyG index and in-hospital mortality in patients with sepsis. In sensitivity analysis, the feature importance of the TyG index was initially determined using machine learning algorithms and subgroup analysis based on different subgroups was also performed. RESULTS 1,257 patients (56.88% men) were included in the study. The in-hospital, 28-day and intensive care unit (ICU) mortality were 21.40%, 26.17%, and 15.43% respectively. Multivariate logistics regression analysis showed that the TyG index was independently associated with an elevated risk of in-hospital mortality (OR 1.440 [95% CI 1.106-1.875]; P = 0.00673), 28-day mortality (OR 1.391; [95% CI 1.52-1.678]; P = 0.01414) and ICU mortality (OR 1.597; [95% CI 1.188-2.147]; P = 0.00266). The restricted cubic spline regression model revealed that the risks of in-hospital, 28-day, and ICU mortality increased linearly with increasing TyG index. Sensitivity analysis indicate that the effect size and direction in different subgroups are consistent, the results is stability. Additionally, the machine learning results suggest that TyG index is an important feature for the outcomes of sepsis. CONCLUSION Our study indicates that a high TyG index is associated with an increased in-hospital mortality in critically ill sepsis patients. Larger prospective studies are required to confirm these findings.
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Affiliation(s)
- Rui Zheng
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Songzan Qian
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Yiyi Shi
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Chen Lou
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, 325000, China
| | - Honglei Xu
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Jingye Pan
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Provincial, Wenzhou, 325000, Zhejiang, People's Republic of China.
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, 325000, Zhejiang, China.
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Zhang Z, Zhao L, Lu Y, Meng X, Zhou X. Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey. Diabetol Metab Syndr 2023; 15:226. [PMID: 37926824 PMCID: PMC10626797 DOI: 10.1186/s13098-023-01205-8] [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: 07/12/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been identified. In the present study, we aimed to characterize the relationship of triglyceride-glucose (TyG) index with the incidence of CMM. METHODS We enrolled 7,970 participants from the China Health and Retirement Longitudinal Study (CHARLS) and placed them into groups according to quartile of TyG index. The endpoint of interest was CMM, defined as the presence of at least two of the following: stroke, heart disease, and diabetes mellitus. Cox regression models and multivariable-adjusted restricted cubic spline (RCS) curves were used to evaluate the relationship between TyG index and CMM. RESULTS In total, 638 (8.01%) incident cases of CMM were recorded among the participants who did not have CMM at baseline (2011) during a median follow-up of 84 months (interquartile range, 20‒87 months). The incidences of CMM for the participants in quartiles (Q) 1-4 of TyG index were 4.22%, 6.12%, 8.78%, and 12.60%, respectively. A fully adjusted Cox model showed that TyG index was closely associated with the incidence of CMM: the hazard ratio (HR) [95% confidence interval (CI)] for each 1.0-unit increment in TyG index for CMM was 1.54 (1.29-1.84); and the HRs (95% CIs) for Q3 and Q4 (Q1 as reference) of the TyG index for CMM were 1.41 (1.05-1.90) and 1.61 (1.18-2.20), respectively. The association of TyG index with the incidence of CMM was present in almost all the subgroups, and persisted in the sensitivity analyses and additional analyses. Multivariable-adjusted RCS analysis revealed a significant dose-response relationship of TyG index with the risk of CMM (overall P < 0.001; non-linear P = 0.129). CONCLUSIONS We found that a high TyG index is associated with a higher risk of incident CMM. This finding may have significance for clinical practice and facilitate the creation of a personalized prevention strategy that involves monitoring the TyG index.
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Affiliation(s)
- Zenglei Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Lin Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Yiting Lu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Xu Meng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China.
| | - Xianliang Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China.
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Skudder-Hill L, Coffey S, Sequeira-Bisson IR, Ko J, Poppitt SD, Petrov MS. Comprehensive analysis of dyslipidemia states associated with fat in the pancreas. Diabetes Metab Syndr 2023; 17:102881. [PMID: 37862954 DOI: 10.1016/j.dsx.2023.102881] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/08/2023] [Accepted: 10/10/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND The global burden of cardiovascular diseases continues to rise, and it is increasingly acknowledged that guidelines based on traditional risk factors fail to identify a substantial fraction of people who develop cardiovascular diseases. Fat in the pancreas could be one of the unappreciated risk factors. This study aimed to investigate the associations of dyslipidemia states with fat in the pancreas. METHODS All participants underwent magnetic resonance imaging on the same 3.0 T scanner for quantification of fat in the pancreas, analyzed as both binary (i.e., fatty change of the pancreas) and continuous (i.e., intra-pancreatic fat deposition) variables. Statistical analyses were adjusted for body mass index, glycated hemoglobin, fasting insulin, ethnicity, age, and sex. RESULTS There were 346 participants studied. On most adjusted analyses, high-density lipoprotein cholesterol dyslipidemia was significantly associated with both fatty change of the pancreas (p = 0.010) and intra-pancreatic fat deposition (p = 0.008). Neither low-density lipoprotein cholesterol dyslipidemia nor triglyceride dyslipidemia were significantly associated with fatty change of the pancreas and intra-pancreatic fat deposition. The absence of any dyslipidemia was inversely associated with both fatty change of the pancreas (p = 0.016) and intra-pancreatic fat deposition (p < 0.001). CONCLUSIONS Dyslipidemias are uncoupled when it comes to the relationship with fat in the pancreas, with only high-density lipoprotein cholesterol dyslipidemia having a consistent and strong link with it. The residual cardiovascular diseases risk may be attributed to fatty change of the pancreas.
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Affiliation(s)
| | - Sean Coffey
- Department of Medicine - HeartOtago, University of Otago, Dunedin, New Zealand
| | - Ivana R Sequeira-Bisson
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; High Value Nutrition, National Science Challenge, New Zealand
| | - Juyeon Ko
- School of Medicine, University of Auckland, Auckland, New Zealand
| | - Sally D Poppitt
- School of Medicine, University of Auckland, Auckland, New Zealand; Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; High Value Nutrition, National Science Challenge, New Zealand; Riddet Centre of Research Excellence (CoRE) for Food and Nutrition, New Zealand
| | - Maxim S Petrov
- School of Medicine, University of Auckland, Auckland, New Zealand.
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Lin Z, He X, Lin M, Chen L. Triglyceride-glucose index on risk of adverse events after drug-coated balloon angioplasty. Lipids Health Dis 2023; 22:184. [PMID: 37898751 PMCID: PMC10613374 DOI: 10.1186/s12944-023-01951-8] [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: 08/31/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The pathogenetic mechanism of atherosclerotic cardiovascular diseases is associated with insulin resistance (IR), which serves as a metabolic risk factor. As a novel indication for IR, triglyceride-glucose (TyG) index may predict cardiovascular disease outcomes. METHODS In current study, a cohort of 157 individuals with newly developed de novo lesions who received DCB angioplasty between January 2017 and May 2021 were included. The midterm follow-up clinical results consisted of the presence of vessel-oriented composite endpoint (VOCE). The baseline TyG index was divided into three groups by tertiles. This study compared various clinical characteristics and parameters among different groups during DCB angioplasty. A multivariate Cox regression model was built to investigate the potential predictors. RESULTS Higher TyG index indicated an increased risk of VOCE according to the adjusted model (HR = 4.0, 95%Cl: 1.0-15.4, P = 0.047). A non-linear correlation was uncovered between the index and VOCE from the smooth curve. Based on Kaplan-Meier curve, individuals in the highest TyG index group were more likely to develop VOCE (P < 0.05 for log-rank). CONCLUSIONS The incidence of VOCE was shown to be independently and positively correlated with an elevated TyG index in individuals with de novo coronary lesions who received DCB angioplasty.
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Affiliation(s)
- Zhaorong Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Xi He
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Maosen Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Lianglong Chen
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China.
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Dong S, Zhao Z, Huang X, Ma M, Yang Z, Fan C, Han H, Wang Z, Shi D, Zhou Y. Triglyceride-glucose index is associated with poor prognosis in acute coronary syndrome patients with prior coronary artery bypass grafting undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:286. [PMID: 37891647 PMCID: PMC10612342 DOI: 10.1186/s12933-023-02029-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, which is a reliable substitute indicator for insulin resistance, has been considered an independent risk factor for long-term outcomes in patients with cardiovascular disease. However, it remains unknown whether the TyG index is associated with poor prognosis in acute coronary syndrome (ACS) patients with prior coronary artery bypass grafting (CABG) undergoing percutaneous coronary intervention (PCI). METHODS A total of 1158 ACS patients with prior CABG undergoing PCI were retrospectively studied. The TyG index was calculated by ln[fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), a composite of all-cause death, nonfatal myocardial infarction, nonfatal stroke, and unplanned repeat revascularization. RESULTS During a median of 42-month follow-up, 350 patients (30.2%) experienced at least one endpoint event. Based on the optimal cut-off value of the TyG index, patients were divided into the high TyG index group and the low TyG index group. Patients in the high TyG index group had higher risks of MACCE (35.3% vs. 25.3%, p < 0.001), major adverse cardiovascular events (MACE) (31.1% vs. 23.4%, p = 0.003), nonfatal stroke (4.2% vs. 1.9%, p = 0.022) and unplanned repeat revascularization (19.4% vs. 11.3%, p < 0.001) than those in the low TyG index group. Cox regression analysis demonstrated that there was an independent association between the TyG index and MACCE regardless of whether the TyG index was a continuous or categorical variable (HR 1.42, 95% CI 1.09-1.86, p = 0.009; HR 1.53, 95% CI 1.16-2.01, p = 0.003, respectively). Restricted cubic spline curve exhibited that the relationship between the TyG index and MACCE was linear (p for non-linear = 0.595, p for overall = 0.005). By incorporating the TyG index groups into baseline risk model, the accuracy of predicting MACCE was improved [AUC: baseline risk model, 0.618 vs. baseline risk model + TyG index groups, 0.636, p for comparison = 0.042]. CONCLUSIONS The TyG index is independently associated with MACCE, suggesting that the TyG index may serve as a valid indicator for predicting poor prognosis in ACS patients with prior CABG undergoing PCI.
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Affiliation(s)
- Shutong Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zehao Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Xin Huang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Meishi Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhiqiang Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Chu Fan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Hongya Han
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhijian Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Dongmei Shi
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Yujie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China.
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Jin J, Hu X, Francois M, Zeng P, Wang W, Yu B, Zhou Y, Dong H. Association between remnant cholesterol, metabolic syndrome, and cardiovascular disease: post hoc analysis of a prospective national cohort study. Eur J Med Res 2023; 28:420. [PMID: 37821969 PMCID: PMC10566110 DOI: 10.1186/s40001-023-01369-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Epidemiologic evidence suggested that remnant cholesterol (RC) is associated with the occurrence of cardiovascular disease (CVD). In recent years, RC has been connected with different types of cardiometabolic disorders. We aim to clarify the relationship among RC, metabolic syndrome (MetS) and subsequent CVD. METHODS We enrolled 7471 individuals into our study from China Health and Nutrition Survey in 2009 and followed participants till 2015. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol minus high-density lipoprotein cholesterol. CVD was defined as myocardial infarction and stroke. Multivariate logistic regression and Cox regression models were used to evaluate the association between RC and MetS as well as CVD. We further investigated whether the association between RC and CVD was mediated by MetS. RESULTS Of all subjects, 24.73% were diagnosed with MetS and 2.74% developed CVD. Multivariate logistic regression analysis elucidated that per-tertile-increase in RC was associated with MetS after adjusting all the confounder factors, (odds ratio: 3.49, 95% confidence interval CI 3.21-3.79, P for trend < 0.001). And per-tertile-increase RC had a significant increased risk of CVD (hazard ratio: 1.26, 95% CI 1.06-1.50, P for trend = 0.008). Meanwhile, we found that RC level is associated with the prevalence of all the components of MetS. Significant indirect effects of RC between MetS and CVD were found, with the index mediated at 48.46% of the association. CONCLUSIONS Our study provides the evidence that RC level is independently associated with the prevalence of MetS and each component of MetS. MetS partially mediated the association between RC level and CVD risk.
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Affiliation(s)
- Junguo Jin
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Xiangming Hu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Melissa Francois
- College of Medicine, SUNY Upstate Medical University, Syracuse, NY, 13210, USA
| | - Ping Zeng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Weimian Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
| | - Haojian Dong
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
- Nyingchi People's Hospital, Nyingchi, 860000, Tibet, China.
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Huang Q, Yin L, Liu Z, Wei M, Feng J, Huang Q, Liu Y, Liu Z, Xia J. Association of novel lipid indicators with the risk of stroke among participants in Central China: a population-based prospective study. Front Endocrinol (Lausanne) 2023; 14:1266552. [PMID: 37850101 PMCID: PMC10577285 DOI: 10.3389/fendo.2023.1266552] [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: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Background Several easily and inexpensively measured indicators of visceral adiposity dysfunction are currently available, but it remains unclear whether they are correlated with stroke risk in the community-dwelling population. We aimed to examine the longitudinal association of the triglyceridemic-waist phenotypes, the triglyceride glucose (TyG) index, as well as TyG-related indicators with stroke risk. Methods In this study, we conducted a prospective cohort study in Hunan, a region located in Central China, where the prevalence of stroke is relatively high. We included a total of 20185 subjects aged ≥40 years between November 2017 and December 2018. Triglyceride glucose-body mass index (TyG-BMI) and triglyceride glucose-waist circumference (TyG-WC) were calculated as multiplying TyG index by BMI and WC, respectively. Triglyceride waist phenotypes were categorized into four phenotypes: HTGW (elevated triglyceride and enlarged WC), NTNW (normal triglyceride and normal WC); HTNW (high triglyceride and normal WC), and NTGW (normal triglyceride and enlarged WC). We constructed a multivariable Cox regression model to assess the association between these novel lipid indicators and the risk of stroke. Subgroup analysis was conducted to test the robustness of our research findings. ROC curve was used for assessing the predictive ability of different stroke risk indices. Results After 2 years of follow- up, 135 participants experienced new stroke events. After adjusting for potential confounders, we found that participants with HTGW had higher likelihood of stroke (HR: 1.96, 95% CI: 1.21 to 3.16). However, we did not find significant associations for HTNW (HR: 1.42, 95% CI: 0.91 to 2.21) and NTGW (HR: 1.09, 95% CI 0.67 to 1.78). when compared to participants in the first TyG quartile, those in the fourth TyG quartile were associated with a 2.06-fold (95% CI: 1.22, 3.50) risk of stroke. Each 1-SD increase in TyG, TyG-BMI, and TyG-WC was associated with a higher risk of stroke, with adjusted HRs of 1.34 (95% CI: 1.11 to 1.61), 1.35 (95% CI: 1.14 to 1.59), and 1.23 (95% CI: 1.04 to 1.46), respectively. In subgroup analyses, those positive relationships appeared to be stronger among male participants with lower levels of physical activity and smoking. Conclusion HTGW, along with higher levels of TyG and TyG-related indicators, were found to be associated with an elevated risk of stroke. HTGW and these novel lipid indicators might be reliable indicators to identify populations at elevated risk of stroke.
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Affiliation(s)
- Qin Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Li Yin
- Departement of Chronic Disease, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zunjing Liu
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China
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Schön M, Zaharia OP, Strassburger K, Kupriyanova Y, Bódis K, Heilmann G, Strom A, Bönhof GJ, Michelotti F, Yurchenko I, Möser C, Huttasch M, Bombrich M, Kelm M, Burkart V, Schrauwen-Hinderling VB, Wagner R, Roden M. Intramyocellular Triglyceride Content During the Early Course of Type 1 and Type 2 Diabetes. Diabetes 2023; 72:1483-1492. [PMID: 37478166 PMCID: PMC10545555 DOI: 10.2337/db23-0353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/10/2023] [Indexed: 07/23/2023]
Abstract
Intramyocellular lipid content (IMCL) is elevated in insulin-resistant humans, but it changes over time, and relationships with comorbidities remain unclear. We examined IMCL during the initial course of diabetes and its associations with complications. Participants of the German Diabetes Study (GDS) with recent-onset type 1 (n = 132) or type 2 diabetes (n = 139) and glucose-tolerant control subjects (n = 128) underwent 1H-MRS to measure IMCL and muscle volume, whole-body insulin sensitivity (hyperinsulinemic-euglycemic clamps; M-value), and cycling spiroergometry (VO2max). Subgroups underwent the same measurements after 5 years. At baseline, IMCL was ∼30% higher in type 2 diabetes than in other groups independently of age, sex, BMI, and muscle volume. In type 2 diabetes, the M-value was ∼36% and ∼62% lower compared with type 1 diabetes and control subjects, respectively. After 5 years, the M-value decreased by ∼29% in type 1 and ∼13% in type 2 diabetes, whereas IMCL remained unchanged. The correlation between IMCL and M-value in type 2 diabetes at baseline was modulated by VO2max. IMCL also associated with microalbuminuria, the Framingham risk score for cardiovascular disease, and cardiac autonomic neuropathy. Changes in IMCL within 5 years after diagnosis do not mirror the progression of insulin resistance in type 2 diabetes but associate with early diabetes-related complications. ARTICLE HIGHLIGHTS Intramyocellular lipid content (IMCL) can be elevated in insulin-resistant humans, but its dynamics and association with comorbidities remain unclear. Independently of age, sex, body mass, and skeletal muscle volume, IMCL is higher in recent-onset type 2, but not type 1 diabetes, and remains unchanged within 5 years, despite worsening insulin resistance. A degree of physical fitness modulates the association between IMCL and insulin sensitivity in type 2 diabetes. Whereas higher IMCL associates with lower insulin sensitivity in people with lower physical fitness, there is no association between IMCL and insulin sensitivity in those with higher degree of physical fitness. IMCL associates with progression of microalbuminuria, cardiovascular disease risk, and cardiac autonomic neuropathy.
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Affiliation(s)
- Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Oana P. Zaharia
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Klaus Strassburger
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Yuliya Kupriyanova
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Kálmán Bódis
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Geronimo Heilmann
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Alexander Strom
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Gidon J. Bönhof
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Filippo Michelotti
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Iryna Yurchenko
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Clara Möser
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Maximilian Huttasch
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Maria Bombrich
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Malte Kelm
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Cardiovascular Research Institute Düsseldorf, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Volker Burkart
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Vera B. Schrauwen-Hinderling
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Ran Q, Tian H, Lin J, Wang H, Wang B, Chen Z, Song D, Gong C. Mesenchymal Stem Cell-Derived Exosomes: A Novel Approach to Diabetes-Associated Cognitive Impairment. J Inflamm Res 2023; 16:4213-4228. [PMID: 37753267 PMCID: PMC10519429 DOI: 10.2147/jir.s429532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023] Open
Abstract
The progression of diabetes frequently results in a myriad of neurological disorders, including ischemic stroke, depression, blood-brain barrier impairment, and cognitive dysfunction. Notably, diabetes-associated cognitive impairment, a prevalent comorbidity during the course of diabetes, progressively affects patients' cognitive abilities and may reciprocally influence diabetes management, thereby severely impacting patients' quality of life. Extracellular vesicles, particularly nanoscale exosomes, have garnered considerable attention in recent years. These exosomes carry and transfer various functional molecules, such as proteins, lipids, and diverse non-coding RNAs, serving as novel regulators and communicators in intercellular interactions. Of particular interest, mesenchymal stem cell-derived exosomes (MSC-Exos) have been reported to traverse the blood-brain barrier and ameliorate intracerebral pathologies. This review elucidates the role of MSC-Exos in diabetes-related cognitive impairment, with a focus on their applications as biomarkers, modulation of neuronal regeneration and synaptic plasticity, anti-inflammatory properties, antioxidative effects, and their involvement in regulating the functionality of β-amyloid proteins during the course of cognitive impairment. The immense therapeutic potential of MSC-Exos in the treatment of diabetes-induced cognitive dysfunction is emphasized.
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Affiliation(s)
- Qingsen Ran
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - He Tian
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - Jian Lin
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - Han Wang
- Department of Gastroenterology, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin Province, 130021, People’s Republic of China
| | - Bo Wang
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - Zhixin Chen
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - Da Song
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
| | - Chunzhu Gong
- Department of Science and Education, Shenzhen Pingle Orthopedic Hospital (Shenzhen Pingshan Traditional Chinese Medicine Hospital), Shenzhen, Guangzhou Province, 518118, People’s Republic of China
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Guo W, Jia J, Zhan M, Li X, Zhu W, Lu J, Zhao X, Xu N, Zhang Q. Association of metabolically unhealthy non-obese and metabolically healthy obese individuals with arterial stiffness and 10-year cardiovascular disease risk: a cross-sectional study in Chinese adults. Nutr J 2023; 22:44. [PMID: 37726745 PMCID: PMC10510138 DOI: 10.1186/s12937-023-00870-9] [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: 11/21/2022] [Accepted: 08/13/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND The relationship between metabolically healthy obese individuals (MHO) and cardiovascular disease (CVD) risk is disputed. This study investigated the association of metabolically unhealthy non-obese(MUNO) individuals and MHO with arterial stiffness and 10-year CVD risk. METHODS A total of 13,435 participants were enrolled and further divided into the metabolically healthy non-obese (MHNO) phenotype (n = 4927), MUNO phenotype (n = 1971), MHO phenotype (n = 2537) and metabolically unhealthy obese (MUO) phenotype (n = 4000) according to body mass index (BMI) and metabolic status. We used brachial ankle pulse wave velocity (baPWV) to measure arterial stiffness and the Framingham risk score (FRS) to evaluate the 10-year CVD risk. RESULTS The MUO and MUNO phenotypes had higher mean baPWV values than the MHO and MHNO phenotypes, regardless of age (1446.19 ± 233.65 vs. 1423.29 ± 240.72 vs. 1283.57 ± 213.77 vs. 1234.08 ± 215.99 cm/s, P < 0.001). Logistic regression analysis indicated that the MUNO and MUO phenotypes were independently correlated with elevated baPWV and 10-year CVD risk, while the MHO phenotype was independently associated with only the 10-year CVD risk. In metabolically healthy subjects, BMI showed a dose-dependent increase in the risk of elevated baPWV, with an adjusted OR of 1.007 (95% CI 1.004-1.010, P < 0.001). However, in metabolically unhealthy participants, the estimate for the relationship between elevated baPWV and BMI was nonsignificant. CONCLUSIONS The MUNO phenotype exhibits increased arterial stiffness and 10-year CVD risk. However, BMI is positively and dose-dependently correlated with arterial stiffness only in metabolically healthy subjects. We speculate that metabolic status may be a strong confounder in the obesity-elevated baPWV association.
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Affiliation(s)
- Wen Guo
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Jue Jia
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Jiangsu University, Zhenjiang, 212000 China
| | - Mengyao Zhan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166 China
| | - Xiaona Li
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Wenfang Zhu
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Jing Lu
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Xin Zhao
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Nainzhen Xu
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
| | - Qun Zhang
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 China
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Zheng H, Chen G, Wu K, Wu W, Huang Z, Wang X, Chen Z, Cai Z, Cai Z, Lan Y, Wu S, Chen Y. Relationship between cumulative exposure to triglyceride-glucose index and heart failure: a prospective cohort study. Cardiovasc Diabetol 2023; 22:239. [PMID: 37667253 PMCID: PMC10476374 DOI: 10.1186/s12933-023-01967-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/15/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND High triglyceride-glucose index (TyG) is a major risk factor for heart failure, but the long-term effect of high TyG index on the risk of developing heart failure remains unclear. Therefore, we aimed to determine the relationship between the cumulative exposure to TyG index and the risk of heart failure. METHODS A total of 56,149 participants from the Kailuan Study, who participated in three consecutive health examinations in 2006, 2008, and 2010 and had no history of heart failure or cancer were recruited for this study. The cumulative TyG index was calculated as the weighted sum (value × time) of the mean TyG index for each time interval. The participants were placed into quartiles based on their cumulative TyG index. The study ended on December 31, 2020, and the primary outcome was new-onset heart failure during the follow-up period. In addition, a Cox proportional hazards regression model and a restricted cubic spline analysis were used to further evaluate the relationship between cumulative TyG index and the risk of heart failure. RESULTS During a median follow-up period of 10.04 years, a total of 1,312 new heart failure events occurred. After adjustment for potential confounding factors, the Cox regression analysis showed that the hazard ratios (95% confidence intervals) for the risk of heart failure in the Q2, Q3, and Q4 groups were 1.02 (0.83,1.25), 1.29 (1.07,1.56) and 1.40 (1.15,1.71), respectively, vs. the Q1 group. The subgroup analysis showed a significant interaction between cumulative TyG index and BMI or waist circumference, but there was no interaction between age, sex and cumulative TyG index. The restricted cubic spline analysis showed a dose-response relationship between cumulative TyG index and the risk of heart failure. In addition, the sensitivity analysis generated results that were consistent with the primary results. CONCLUSIONS High cumulative TyG index is associated with a higher risk of heart failure. Thus, the TyG index may be useful for the identification of individuals at high risk of heart failure. The present findings emphasize the importance of the long-term monitoring of the TyG index in clinical practice.
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Affiliation(s)
- Huancong Zheng
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Guanzhi Chen
- Cardiac Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kuangyi Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Zegui Huang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xianxuan Wang
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Zhiwei Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
- Centre for Precision Health, Edith Cowan University School of Medical and Health Sciences, Joondalup, Australia
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Road, Tangshan, 063000, China.
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China.
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Huang R, Xu X, Xu C, Zhang S, Xiong Z, Liu M, Huang Y, Wen H, Guo Y, Liao X, Zhuang X. Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study. Cardiovasc Diabetol 2023; 22:238. [PMID: 37660027 PMCID: PMC10475183 DOI: 10.1186/s12933-023-01975-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 08/25/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth's penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. RESULTS Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086-2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051-0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001-0.033), p = 0.044]. CONCLUSIONS Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS.
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Affiliation(s)
- Rihua Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinghao Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Chaoguang Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Shaozhao Zhang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Zhenyu Xiong
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Menghui Liu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yiquan Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Han Wen
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yue Guo
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinxue Liao
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
| | - Xiaodong Zhuang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
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Ye C, Kong L, Wang Y, Zheng J, Xu M, Xu Y, Li M, Zhao Z, Lu J, Chen Y, Wang W, Ning G, Bi Y, Wang T. Causal associations of sarcopenia-related traits with cardiometabolic disease and Alzheimer's disease and the mediating role of insulin resistance: A Mendelian randomization study. Aging Cell 2023; 22:e13923. [PMID: 37403750 PMCID: PMC10497819 DOI: 10.1111/acel.13923] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/06/2023] Open
Abstract
The causal influence of sarcopenia on cardiometabolic disease and Alzheimer's disease and whether and to what extent insulin resistance plays a mediating role therein were unclear. We performed two-step, two-sample Mendelian randomization applying genetic instruments of sarcopenia-related traits based on GWASs from the UK Biobank (up to 461,026 European participants) to examine their causal associations with six cardiometabolic diseases and Alzheimer's disease extracted from large-scale European descent GWASs with adjustment for body fat percentage and physical activity, and to assess proportions of the causal effects mediated by insulin resistance. Genetic instruments of insulin resistance were derived from the GWASs by Meta-Analyses of Glucose and Insulin-related traits Consortium and Global Lipids Genetics Consortium. Each 1-SD lower grip strength, appendicular lean mass (ALM) and whole-body lean mass (WBLM), as well as lower walking pace, were causally associated with higher risks of diabetes (odds ratio [OR] range: 1.20 [95% confidence interval: 1.10-1.32] for ALM to 2.30 [1.14-4.68] for walking pace), nonalcoholic fatty liver disease ([NAFLD], 1.33 [1.08-1.64] for ALM to 2.30 [1.02-5.18] for grip strength), hypertension (1.12 [1.05-1.20] for ALM to 4.43 [2.68-7.33] for walking pace), coronary heart disease ([CHD], 1.20 [1.13-1.27] for ALM to 2.73 [1.84-4.05] for walking pace), myocardial infarction ([MI], 1.18 [1.11-1.25] for ALM to 2.47 [1.63-3.73] for walking pace), small vessel stroke (1.25 [1.15-1.37] for ALM to 1.29 [1.10-1.52] for WBLM), and Alzheimer's disease (1.10 [1.05-1.15] for ALM to 1.28 [1.19-1.38] for WBLM). These causal associations were largely independent of body fat percentage and physical activity. Insulin resistance mediated 16%-34% of the effect of grip strength and 7%-28% of the effect of ALM on diabetes, NAFLD, hypertension, CHD, and MI. The direct effect of WBLM on diabetes diminished toward null with adjustment for insulin resistance. We found no evidence that insulin resistance was on the causal pathways from walking pace to the studied disease outcomes. Causal findings from the inverse-variance weighted method were validated by sensitivity analyses. These findings support improving sarcopenia-related traits as precautions against major cardiometabolic diseases and Alzheimer's disease, with particular emphasis on insulin resistance as a target in the intervention of sarcopenia-related cardiometabolic risk.
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Affiliation(s)
- Chaojie Ye
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lijie Kong
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yiying Wang
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jie Zheng
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Lee JH, Jeon S, Joung B, Lee HS, Kwon YJ. Associations of Homeostatic Model Assessment for Insulin Resistance Trajectories With Cardiovascular Disease Incidence and Mortality. Arterioscler Thromb Vasc Biol 2023; 43:1719-1728. [PMID: 37470180 DOI: 10.1161/atvbaha.123.319200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Whether trends in insulin resistance changes are related to the risk of cardiovascular disease (CVD) incidence and mortality remains unclear. We aimed to examine the association of homeostatic model assessment for insulin resistance (HOMA-IR) trajectories with CVD incidence and mortality. METHODS Data from 6755 adults aged 40 to 69 years in the Korea Epidemiology and Genome Study were analyzed. During the exposure period (2001-2006), participants were classified into the increasing HOMA-IR trajectory group and the stable HOMA-IR trajectory group using a latent class mixture model. During the event accrual period (2007-2018), information about CVD and mortality were collected. RESULTS During the median 9.83-year event accrual period, there were 379 (5.6%) new-onset CVD, 535 (7.9%) all-cause mortality, 102 (1.5%) CVD mortality, and 47 (0.7%) major adverse cardiovascular event mortality cases. Compared with the stable HOMA-IR trajectory group, the fully adjusted hazard ratios (95% CIs) for the increasing HOMA-IR trajectory group were 1.59 (1.04-2.44) for incident CVD, 1.87 (1.30-2.69) for all-cause mortality, 2.33 (1.11-4.89) for CVD mortality, and 3.67 (1.38-9.76) for major adverse cardiovascular event mortality. CONCLUSIONS An increasing HOMA-IR appears to be independently and positively related to incident CVD, all-cause mortality, CVD mortality, and major adverse cardiovascular event mortality. Early lifestyle interventions for individuals with increasing HOMA-IR trend could be a practical strategy to prevent CVD and CVD mortality.
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Affiliation(s)
- Jun-Hyuk Lee
- Department of Family Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea (J.-H.L.)
- Department of Medicine, Hanyang University Graduate School of Medicine, Seoul, Republic of Korea (J.-H.L.)
| | - Soyoung Jeon
- Department of Medicine, Hanyang University Graduate School of Medicine, Seoul, Republic of Korea (J.-H.L.)
| | - Boyoung Joung
- Division of Cardiology, Department of Internal Medicine (B.J.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Department of Research Affairs (S.J., H.S.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yu-Jin Kwon
- Division of Cardiology, Department of Internal Medicine (B.J.), Yonsei University College of Medicine, Seoul, Republic of Korea
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84
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Wu Z, Xie L, Guo D, Chen S, Liu X, Sun X, Wang J, Zhang Y, Liu L, Cui H, Zang D, Yang J. Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients without diabetes mellitus after coronary artery bypass grafting: a multicenter retrospective cohort study. Cardiovasc Diabetol 2023; 22:230. [PMID: 37649025 PMCID: PMC10470170 DOI: 10.1186/s12933-023-01969-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been evaluated as a reliable surrogate for insulin resistance (IR) and has been proven to be a predictor of poor outcomes in patients with cardiovascular diseases. However, data are lacking on the relationship of the TyG index with prognosis in nondiabetic patients who underwent coronary artery bypass grafting (CABG). Thus, the purpose of our current study was to investigate the potential value of the TyG index as a prognostic indicator in patients without diabetes mellitus (DM) after CABG. METHODS This multicenter, retrospective cohort study involving 830 nondiabetic patients after CABG from 3 tertiary public hospitals from 2014 to 2018. Kaplan-Meier survival curve analysis was conducted followed by the log-rank test. Cox proportional hazards regression models were used to explore the association between the TyG index and major adverse cardiovascular events (MACEs). The incremental predictive power of the TyG index was evaluated with C-statistics, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS An incrementally higher TyG index was associated with an increasingly higher cumulative incidence of MACEs (log-rank test, p < 0.001). The hazard ratio (95% CI) of MACEs was 2.22 (1.46-3.38) in tertile 3 of the TyG index and 1.38 (1.18-1.62) per SD increase in the TyG index. The addition of the TyG index yielded a significant improvement in the global performance of the baseline model [C-statistic increased from 0.656 to 0.680, p < 0.001; continuous NRI (95% CI) 0.269 (0.100-0.438), p = 0.002; IDI (95% CI) 0.014 (0.003-0.025), p = 0.014]. CONCLUSIONS The TyG index may be an independent factor for predicting adverse cardiovascular events in nondiabetic patients after CABG.
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Affiliation(s)
- Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Lin Xie
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Sha Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoyu Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiangfei Sun
- Department of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Juan Wang
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China.
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85
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Tate BN, Van Guilder GP, Aly M, Spence LA, Diaz-Rubio ME, Le HH, Johnson EL, McFadden JW, Perry CA. Changes in Choline Metabolites and Ceramides in Response to a DASH-Style Diet in Older Adults. Nutrients 2023; 15:3687. [PMID: 37686719 PMCID: PMC10489641 DOI: 10.3390/nu15173687] [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: 07/14/2023] [Revised: 08/18/2023] [Accepted: 08/19/2023] [Indexed: 09/10/2023] Open
Abstract
This feeding trial evaluated the impact of the Dietary Approaches to Stop Hypertension diet on changes in plasma choline, choline metabolites, and ceramides in obese older adults; 28 adults consumed 3oz (n = 15) or 6oz (n = 13) of beef within a standardized DASH diet for 12 weeks. Plasma choline, betaine, methionine, dimethylglycine (DMG), phosphatidylcholine (PC), lysophosphotidylcholine (LPC), sphingomyelin, trimethylamine-N-oxide (TMAO), L-carnitine, ceramide, and triglycerides were measured in fasted blood samples. Plasma LPC, sphingomyelin, and ceramide species were also quantified. In response to the study diet, with beef intake groups combined, plasma choline decreased by 9.6% (p = 0.012); DMG decreased by 10% (p = 0.042); PC decreased by 51% (p < 0.001); total LPC increased by 281% (p < 0.001); TMAO increased by 26.5% (p < 0.001); total ceramide decreased by 22.1% (p < 0.001); and triglycerides decreased by 18% (p = 0.021). All 20 LPC species measured increased (p < 0.01) with LPC 16:0 having the greatest response. Sphingomyelin 16:0, 18:0, and 18:1 increased (all p < 0.001) by 10.4%, 22.5%, and 24%, respectively. In contrast, we observed that sphingomyelin 24:0 significantly decreased by 10%. Ceramide 22:0 and 24:0 decreased by 27.6% and 10.9% (p < 0.001), respectively, and ceramide 24:1 increased by 36.8% (p = 0.013). Changes in choline and choline metabolites were in association with anthropometric and cardiometabolic outcomes. These findings show the impact of the DASH diet on choline metabolism in older adults and demonstrate the influence of diet to modify circulating LPC, sphingomyelin, and ceramide species.
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Affiliation(s)
- Brianna N. Tate
- Department of Animal Science, Cornell University, Ithaca, NY 14853, USA; (B.N.T.); (J.W.M.)
| | - Gary P. Van Guilder
- High Altitude Exercise Physiology Department, Western Colorado University, Gunnison, CO 81231, USA;
| | - Marwa Aly
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN 47405, USA; (M.A.); (L.A.S.)
| | - Lisa A. Spence
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN 47405, USA; (M.A.); (L.A.S.)
| | - M. Elena Diaz-Rubio
- Proteomic and Metabolomics Facility, Cornell University, Ithaca, NY 14853, USA;
| | - Henry H. Le
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA; (H.H.L.); (E.L.J.)
| | - Elizabeth L. Johnson
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA; (H.H.L.); (E.L.J.)
| | - Joseph W. McFadden
- Department of Animal Science, Cornell University, Ithaca, NY 14853, USA; (B.N.T.); (J.W.M.)
| | - Cydne A. Perry
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN 47405, USA; (M.A.); (L.A.S.)
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Shah A, Wondisford FE. Gluconeogenesis Flux in Metabolic Disease. Annu Rev Nutr 2023; 43:153-177. [PMID: 37603427 DOI: 10.1146/annurev-nutr-061121-091507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Gluconeogenesis is a critical biosynthetic process that helps maintain whole-body glucose homeostasis and becomes altered in certain medical diseases. We review gluconeogenic flux in various medical diseases, including common metabolic disorders, hormonal imbalances, specific inborn genetic errors, and cancer. We discuss how the altered gluconeogenic activity contributes to disease pathogenesis using data from experiments using isotopic tracer and spectroscopy methodologies. These in vitro, animal, and human studies provide insights into the changes in circulating levels of available gluconeogenesis substrates and the efficiency of converting those substrates to glucose by gluconeogenic organs. We highlight ongoing knowledge gaps, discuss emerging research areas, and suggest future investigations. A better understanding of altered gluconeogenesis flux may ultimately identify novel and targeted treatment strategies for such diseases.
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Affiliation(s)
- Ankit Shah
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA; ,
| | - Fredric E Wondisford
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA; ,
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Le TKC, Dao XD, Nguyen DV, Luu DH, Bui TMH, Le TH, Nguyen HT, Le TN, Hosaka T, Nguyen TTT. Insulin signaling and its application. Front Endocrinol (Lausanne) 2023; 14:1226655. [PMID: 37664840 PMCID: PMC10469844 DOI: 10.3389/fendo.2023.1226655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/19/2023] [Indexed: 09/05/2023] Open
Abstract
The discovery of insulin in 1921 introduced a new branch of research into insulin activity and insulin resistance. Many discoveries in this field have been applied to diagnosing and treating diseases related to insulin resistance. In this mini-review, the authors attempt to synthesize the updated discoveries to unravel the related mechanisms and inform the development of novel applications. Firstly, we depict the insulin signaling pathway to explain the physiology of insulin action starting at the receptor sites of insulin and downstream the signaling of the insulin signaling pathway. Based on this, the next part will analyze the mechanisms of insulin resistance with two major provenances: the defects caused by receptors and the defects due to extra-receptor causes, but in this study, we focus on post-receptor causes. Finally, we discuss the recent applications including the diseases related to insulin resistance (obesity, cardiovascular disease, Alzheimer's disease, and cancer) and the potential treatment of those based on insulin resistance mechanisms.
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Affiliation(s)
- Thi Kim Chung Le
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Xuan Dat Dao
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Dang Vung Nguyen
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Duc Huy Luu
- Department of Biopharmaceuticals, Institute of Chemistry, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Thi Minh Hanh Bui
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Thi Huong Le
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Huu Thang Nguyen
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Tran Ngoan Le
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Toshio Hosaka
- Department of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Thi Thu Thao Nguyen
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
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88
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Hsu FC, Palmer ND, Chen SH, Ng MCY, Goodarzi MO, Rotter JI, Wagenknecht LE, Bancks MP, Bergman RN, Bowden DW. Methods for estimating insulin resistance from untargeted metabolomics data. Metabolomics 2023; 19:72. [PMID: 37558891 PMCID: PMC10412652 DOI: 10.1007/s11306-023-02035-5] [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: 02/27/2023] [Accepted: 07/20/2023] [Indexed: 08/11/2023]
Abstract
CONTEXT Insulin resistance is associated with multiple complex diseases; however, precise measures of insulin resistance are invasive, expensive, and time-consuming. OBJECTIVE Develop estimation models for measures of insulin resistance, including insulin sensitivity index (SI) and homeostatic model assessment of insulin resistance (HOMA-IR) from metabolomics data. DESIGN Insulin Resistance Atherosclerosis Family Study (IRASFS). SETTING Community based. PARTICIPANTS Mexican Americans (MA) and African Americans (AA). MAIN OUTCOME Estimation models for measures of insulin resistance, i.e. SI and HOMA-IR. RESULTS Least Absolute Shrinkage and Selection Operator (LASSO) and Elastic Net regression were used to build insulin resistance estimation models from 1274 metabolites combined with clinical data, e.g. age, sex, body mass index (BMI). Metabolite data were transformed using three approaches, i.e. inverse normal transformation, standardization, and Box Cox transformation. The analysis was performed in one MA recruitment site (San Luis Valley, Colorado (SLV); N = 450) and tested in another MA recruitment site (San Antonio, Texas (SA); N = 473). In addition, the two MA recruitment sites were combined and estimation models tested in the AA recruitment sample (Los Angeles, California; N = 495). Estimated and empiric SI were correlated in the SA (r2 = 0.77) and AA (r2 = 0.74) testing datasets. Further, estimated and empiric SI were consistently associated with BMI, low-density lipoprotein cholesterol (LDL), and triglycerides. We applied similar approaches to estimate HOMA-IR with similar results. CONCLUSIONS We have developed a method for estimating insulin resistance with metabolomics data that has the potential for application to a wide range of biomedical studies and conditions.
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Affiliation(s)
- Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Maggie C Y Ng
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael P Bancks
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Richard N Bergman
- Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University School of Medicine, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
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Boadu WIO, Anto EO, Frimpong J, Ntiful F, Korsah EE, Ansah E, Tamakloe VCKT, Agyapomaa A, Opoku S, Senu E, Nyantakyi M, Etwi‐Mensah A, Acheampong E, Boadu KO, Donkoh ET, Obirikorang C. Prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus patients in rural and urban areas: A multicenter cross-sectional study. Health Sci Rep 2023; 6:e1475. [PMID: 37636287 PMCID: PMC10447875 DOI: 10.1002/hsr2.1475] [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: 04/30/2023] [Revised: 07/09/2023] [Accepted: 07/23/2023] [Indexed: 08/29/2023] Open
Abstract
Background and Aims Dyslipidemia in diabetes mellitus has been linked to unhealthy lifestyle and bad eating habits. However, this association has not been well studied among rural and urban Ghanaian populations. In this study, we determined the prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus (T2DM) patients in rural and urban areas. Methods This comparative multicentre-cross-sectional study recruited 228 T2DM outpatients attending the St. Michael Hospital, Pramso (rural) and Kumasi South Regional Hospital (urban), Ghana for routine check-ups. Self-structured questionnaire was used to collect sociodemographic, knowledge, and lifestyle characteristics. Fasting blood samples were taken to measure lipid profiles. Dyslipidemia was defined per the American Diabetes Association criteria. All p < 0.05 were considered statistically significant. Results The overall prevalence of dyslipidemia was 79/228 (34.7%). Dyslipidemia was more prevalent among urban participants 43 (18.9%) than rural participants 36 (15.8%). Twenty-seven (11.7%) had adequate knowledge about the risk factors, complications, and management of diabetes. Eating supper after 7 p.m. [adjusted odds ratio = 3.77, 95% confidence interval (1.70-8.37), p = 0.001] significantly increased one's risk of having dyslipidemia by 3.8-fold compared to eating supper earlier (before 5 p.m.). Conclusion Dyslipidemia is increasing among T2DM patients in both urban and rural areas and it's independently influenced by eating supper after 7 p.m. Most participants were ignorant of the risk factors, complications, and management of diabetes. Adjusting eating habits and increasing diabetes awareness programs to sensitize the general public can mitigate the increasing prevalence of dyslipidemia in both urban and rural areas.
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Affiliation(s)
- Wina I. O. Boadu
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Enoch O. Anto
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
- School of Medical and Health SciencesEdith Cowan UniversityPerthAustralia
- Centre for Precision Health, ECU Strategic Research CentreEdith Cowan UniversityPerthAustralia
| | - Joseph Frimpong
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Felix Ntiful
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Emmanuel E. Korsah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Ezekiel Ansah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Valentine C. K. T. Tamakloe
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Afia Agyapomaa
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Stephen Opoku
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Ebenezer Senu
- Department of Molecular Medicine, School of Medicine and DentistryKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Michael Nyantakyi
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Albright Etwi‐Mensah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health SciencesKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Emmanuel Acheampong
- School of Medical and Health SciencesEdith Cowan UniversityPerthAustralia
- Department of Molecular Medicine, School of Medicine and DentistryKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Kwame O. Boadu
- Department of Obstetrics and Gynaecology, Kumasi South HospitalAtonsu‐AgogoKumasiGhana
| | - Emmanuel Timmy Donkoh
- Department of Medical Laboratory ScienceUniversity of Energy and Natural ResourcesSunyaniGhana
| | - Christian Obirikorang
- Department of Molecular Medicine, School of Medicine and DentistryKwame Nkrumah University of Science and TechnologyKumasiGhana
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90
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Zhao J, Feng Y, Rao Z, Li H, Xu J, Cui S, Lai L. Exercise combined with heat treatment improves insulin resistance in diet-induced obese rats. J Therm Biol 2023; 116:103651. [PMID: 37459707 DOI: 10.1016/j.jtherbio.2023.103651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/13/2023] [Accepted: 06/28/2023] [Indexed: 08/28/2023]
Abstract
Insulin resistance is a risk factor for various cardiovascular diseases, which seriously threaten human health. Thus, finding a safe, effective and economical strategy to treat insulin resistance is urgently needed. This study aimed to investigate the effects of exercise combined with heat treatment on the insulin sensitivity in skeletal muscle of diet-induced obese (DIO) rats. Obese rats were induced by a 10-week high-fat diet and were randomly divided into normal temperature + control (NC), normal temperature + exercise (NE), heat treatment + control (HC) and heat treatment + exercise (HE) groups for 7 weeks of incremental load endurance exercise and heat treatment (exposure to a high-temperature environment room). At the end of the 7-week intervention, we measured fasting blood glucose, serum fasting insulin, serum leptin, serum adiponectin, protein expression of HSF1/HSP27 and JAK2/STAT3 pathway in soleus (primarily composed of slow-twitch fibres) and extensor digitorum longus (primarily composed of fast-twitch fibres) muscles. The results showed that exercise combined with heat treatment can effectively improve insulin resistance by regulating HSF1/HSP27 and JAK2/STAT3 pathways in the slow-twitch muscle of DIO rats. Importantly, exercise combined with heat treatment is more effective in improving insulin resistance in DIO rats than exercise or heat treatment alone. Low-moderate intensity exercise that stimulates slow-twitch muscle, combined with heat treatment is an effective strategy to treat insulin resistance.
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Affiliation(s)
- Jiexiu Zhao
- Exercise Biological Center, China Institute of Sport Science, Beijing, China.
| | - Yiwei Feng
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | - Zhijian Rao
- Exercise Biological Center, China Institute of Sport Science, Beijing, China; Physical Education College, Shanghai Normal University, Shanghai, China
| | - Han Li
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | - Jincheng Xu
- Exercise Biological Center, China Institute of Sport Science, Beijing, China; Winter Sports Management Center of the General Administration of Sport of China, Beijing, China
| | - Shuqiang Cui
- Exercise Biological Center, China Institute of Sport Science, Beijing, China; Beijing Institute of Sports Science, Beijing, China
| | - Lili Lai
- Exercise Biological Center, China Institute of Sport Science, Beijing, China; Nanchang Normal University, Jiangxi, China
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91
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Pan L, Zou H, Meng X, Li D, Li W, Chen X, Yang Y, Yu X. Predictive values of metabolic score for insulin resistance on risk of major adverse cardiovascular events and comparison with other insulin resistance indices among Chinese with and without diabetes mellitus: Results from the 4C cohort study. J Diabetes Investig 2023; 14:961-972. [PMID: 37132055 PMCID: PMC10360377 DOI: 10.1111/jdi.14024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 03/06/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023] Open
Abstract
AIMS/INTRODUCTION To investigate the relationship between the metabolic score for insulin resistance (METS-IR) index and major adverse cardiac events (MACEs) and to compare its ability to predict MACEs with other IR indices including homeostatic model assessment for IR (HOMA-IR) and triglyceride glucose (TyG) index-related parameters. MATERIALS AND METHODS We conducted a cohort study enrolling 7,291 participants aged ≥40 years. Binary logistic regression and restricted cubic splines were performed to determine the association between METS-IR and MACEs, and the receiver operating curve (ROC) was utilized to compare the predictive abilities of IR indices and to determine the optimal cut-off points. RESULTS There were 348 (4.8%) cases of MACEs during a median follow-up of 3.8 years. Compared with participants with a METS-IR in the lowest quartile, the multivariate-adjusted RRs and 95% CIs for participants with a METS-IR in the highest quartile were 1.47 (1.05-2.77) in all participants, 1.42 (1.18-2.54) for individuals without diabetes, and 1.75 (1.11-6.46) for individuals with diabetes. Significant interactions were found between the METS-IR and the risk of MACEs by sex in all participants and by age and sex in individuals without diabetes (all P values for interaction < 0.05). In the ROC analysis, the METS-IR had a higher AUC value than other indices for predicting MACEs in individuals with diabetes and had a comparable or higher AUC than other indices for individuals without diabetes. CONCLUSIONS The METS-IR can be an effective clinical indicator for identifying MACEs, as it had superior predictive power when compared with other IR indices in individuals with diabetes.
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Affiliation(s)
- Limeng Pan
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
| | - Huajie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Division of Endocrinology, Department of Internal MedicineThe Affiliated Hospital of Qinghai UniversityXiningChina
| | - Xiaoyu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
| | - Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
| | - Wenjun Li
- Computer Center, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Xi Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Branch of National Clinical Research Center for Metabolic DiseasesWuhanChina
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92
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Wang X, Zhao C, Feng H, Li G, He L, Yang L, Liang Y, Tan X, Xu Y, Cui R, Sun Y, Guo S, Zhao G, Zhang J, Ai S. Associations of Insomnia With Insulin Resistance Traits: A Cross-sectional and Mendelian Randomization Study. J Clin Endocrinol Metab 2023; 108:e574-e582. [PMID: 36794917 DOI: 10.1210/clinem/dgad089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/17/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023]
Abstract
CONTEXT Insomnia is associated with insulin resistance (IR) in observational studies; however, whether insomnia is causally associated with IR remains unestablished. OBJECTIVE This study aims to estimate the causal associations of insomnia with IR and its related traits. METHODS In primary analyses, multivariable regression (MVR) and 1-sample Mendelian randomization (1SMR) analyses were performed to estimate the associations of insomnia with IR (triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol [TG/HDL-C] ratio) and its related traits (glucose level, TG, and HDL-C) in the UK Biobank. Thereafter, 2-sample MR (2SMR) analyses were used to validate the findings from primary analyses. Finally, the potential mediating effects of IR on the pathway of insomnia giving rise to type 2 diabetes (T2D) were examined using a 2-step MR design. RESULTS Across the MVR, 1SMR, and their sensitivity analyses, we found consistent evidence suggesting that more frequent insomnia symptoms were significantly associated with higher values of triglyceride-glucose index (MVR, β = 0.024, P < 2.00E-16; 1SMR, β = 0.343, P < 2.00E-16), TG/HDL-C ratio (MVR, β = 0.016, P = 1.75E-13; 1SMR, β = 0.445, P < 2.00E-16), and TG level (MVR, β = 0.019 log mg/dL, P < 2.00E-16, 1SMR: β = 0.289 log mg/dL, P < 2.00E-16) after Bonferroni adjustment. Similar evidence was obtained by using 2SMR, and mediation analysis suggested that about one-quarter (25.21%) of the association between insomnia symptoms and T2D was mediated by IR. CONCLUSIONS This study provides robust evidence supporting that more frequent insomnia symptoms are associated with IR and its related traits across different angles. These findings indicate that insomnia symptoms can be served as a promising target to improve IR and prevent subsequent T2D.
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Affiliation(s)
- Xiaoyu Wang
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Chenhao Zhao
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Hongliang Feng
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510000, China
| | - Guohua Li
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Lei He
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Lulu Yang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510000, China
| | - Yan Liang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510000, China
| | - Xiao Tan
- Department of Neuroscience (Sleep Science, BMC), Uppsala University, Uppsala SE-75105, Sweden
| | - Yanmin Xu
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Ruixiang Cui
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Yujing Sun
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Sheng Guo
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Guoan Zhao
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Sizhi Ai
- Department of Cardiology, Life Science Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
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93
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Zhou Y, Wang C, Che H, Cheng L, Zhu D, Rao C, Zhong Q, Li Z, Wang X, Wu Z, He K. Association between the triglyceride-glucose index and the risk of mortality among patients with chronic heart failure: results from a retrospective cohort study in China. Cardiovasc Diabetol 2023; 22:171. [PMID: 37420232 PMCID: PMC10329381 DOI: 10.1186/s12933-023-01895-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/20/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been demonstrated to be a reliable surrogate marker of insulin resistance (IR) and an effective predictive index of cardiovascular (CV) disease risk. However, its long-term prognostic value in patients with chronic heart failure (CHF) remains uncertain. METHODS A total of 6697 consecutive patients with CHF were enrolled in this study. Patients were divided into tertiles according to their TyG index. The incidence of primary outcomes, including all-cause death and CV death, was recorded. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting blood glucose (mg/dL)/2]. RESULTS During a median follow-up of 3.9 years, a total of 2158 (32.2%) all-cause deaths and 1305 (19.5%) CV deaths were documented. The incidence of primary events from the lowest to the highest TyG index tertiles were 50.61, 64.64, and 92.25 per 1000 person-years for all-cause death and 29.05, 39.40, and 57.21 per 1000 person-years for CV death. The multivariate Cox hazards regression analysis revealed hazard ratios for all-cause and CV deaths of 1.84 (95% CI 1.61-2.10; P for trend < 0.001) and 1.94 (95% CI 1.63-2.30; P for trend < 0.001) when the highest and lowest TyG index tertiles were compared. In addition, the predictive ability of the TyG index against all-cause death was more prominent among patients with metabolic syndrome and those with heart failure with preserved ejection fraction phenotype (both P for interaction < 0.05). Furthermore, adding the TyG index to the established model for all-cause death improved the C‑statistic value (0.710 for the established model vs. 0.723 for the established model + TyG index, P < 0.01), the integrated discrimination improvement value (0.011, P < 0.01), the net reclassification improvement value (0.273, P < 0.01), and the clinical net benefit (probability range, 0.07-0.36). CONCLUSIONS The TyG index was significantly associated with the risk of mortality, suggesting that it may be a reliable and valuable predictor for risk stratification and an effective prognostic indicator in patients with CHF.
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Affiliation(s)
- You Zhou
- School of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China
| | - Chi Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Hebin Che
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Liting Cheng
- School of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China
| | - Di Zhu
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Chongyou Rao
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Qin Zhong
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Zongren Li
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xiao Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Zisheng Wu
- Chinese PLA General Hospital and Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Kunlun He
- School of Medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
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94
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Xiao M, Liu W, Shi X, Wu J, Shen G, Feng J. Integration of metabolomics and network pharmacology for enhancing mechanism understanding and medication combination recommendation for diabetes mellitus and diabetic nephropathy. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:3173-3187. [PMID: 37338009 DOI: 10.1039/d3ay00560g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
With the increasing prevalence of diabetes mellitus (DM) and diabetic nephropathy (DN), effective treatment is particularly important for the recovery of patients. However, the currently approved drugs are usually tailored to clinical symptoms and no mechanism-targeted drugs are available. In this study, the combination of metabolomics and network pharmacology was applied to provide reasonable medication combination regimens to meet the different clinical needs for the targeted treatment of DM and DN. An NMR-based metabolomic strategy was applied to identify the potential urinary biomarkers of DM or/and DN, while network pharmacology was used to identify the therapy targets of DM and DN by intersecting the targets of diseases and currently approved drugs. According to the enriched signaling pathways using the potential biomarkers and the therapy targets, the specific medication combinations were recommended for the specific clinical demands in terms of hypoglycemic, hypertensive, and/or lipid-lowering. For DM, 17 potential urinary biomarkers and 12 disease-related signaling pathways were identified, and 34 combined medication regimens related to hypoglycemia, hypoglycemia, and hypertension, and hypoglycemia, hypertension, and lipid-lowering were administered. For DN, 22 potential urinary biomarkers and 12 disease-related signaling pathways were identified, and 21 combined medication regimens related to hypoglycemia, hypoglycemia, and hypertension were proposed. Molecular docking was used to verify the binding ability, docking sites, and structure of the drug molecules to target proteins. Moreover, an integrated biological information network of the drug-target-metabolite-signaling pathways was constructed to provide insights into the underlined mechanism of DM and DN as well as clinical combination therapy.
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Affiliation(s)
- Mengxiang Xiao
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China.
| | - Wuping Liu
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China.
| | - Xiulin Shi
- The Xiamen Diabetes Institute and Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China
| | - Jinxia Wu
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China.
| | - Guiping Shen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China.
| | - Jianghua Feng
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China.
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95
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He J, Huang M, Li N, Zha L, Yuan J. Genetic Association and Potential Mediators between Sarcopenia and Coronary Heart Disease: A Bidirectional Two-Sample, Two-Step Mendelian Randomization Study. Nutrients 2023; 15:3013. [PMID: 37447340 DOI: 10.3390/nu15133013] [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: 06/14/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
OBJECTIVE To elucidate the bidirectional correlation of sarcopenia with coronary heart disease (CHD), as well as to investigate the mediating role of cardiometabolic factors and inflammatory biomarkers, a bidirectional two-sample, two-step Mendelian randomization (MR) study was conducted. METHODS Summary statistics were obtained from genome-wide association studies (GWAS). In our bidirectional two-sample MR, genetic variants associated with sarcopenia-related traits and CHD were instrumented for the estimation of bidirectional correlations. Besides, genetic variants associated with thirteen cardiometabolic factors and six inflammatory biomarkers were selected for further mediation analyses. To confirm the consistency of the results, several sensitivity analyses were carried out. RESULTS Genetically predicted higher appendicular lean mass (OR = 0.835, 95% CI: 0.790-0.882), left hand grip strength (OR = 0.703, 95% CI: 0.569-0.869), right hand grip strength (OR = 0.685, 95% CI: 0.555-0.844), and walking pace (OR = 0.321, 95% CI: 0.191-0.539) reduced CHD risk, while genetic predisposition to CHD did not affect any of the sarcopenia-related traits. Seven mediators were identified for the effects of appendicular lean mass on CHD, including waist-to-hip ratio, hip circumference, systolic blood pressure, low-density lipoprotein cholesterol, total cholesterol, triglycerides, and fasting insulin. The mediation proportion ranged from 10.23% for triglycerides to 35.08% for hip circumference. Hip circumference was found to mediate the relationships between both left (mediation proportion: 24.61%) and right-hand grip strength (24.14%) and CHD, and the link between walking pace and CHD was partially mediated by waist-to-hip ratio (31.15%) and body mass index (26.66%). CONCLUSION Our results showed that higher appendicular lean mass, hand grip strength, and walking pace reduced CHD risk, but the causal relationship was not bidirectional. Several mediators were found to mediate the causal pathways between sarcopenia-related traits and CHD, and intervention of these factors may be helpful in terms of CHD prevention in sarcopenia patients.
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Affiliation(s)
- Junyi He
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Mingkai Huang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Nana Li
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Lingfeng Zha
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jing Yuan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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96
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Cheng MD, Tang JN, Liu ZY, Guo QQ, Zhang JC, Zhang ZL, Song FH, Wang K, Jiang LZ, Fan L, Yue XT, Bai Y, Dai XY, Zheng RJ, Zheng YY, Zhang JY. Association of hemoglobin glycation index with prognosis of coronary artery disease after percutaneous coronary intervention: A retrospective cohort study. Diab Vasc Dis Res 2023; 20:14791641231193306. [PMID: 37561132 PMCID: PMC10416663 DOI: 10.1177/14791641231193306] [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] [Indexed: 08/11/2023] Open
Abstract
AIMS To analyze the association between hemoglobin glycation index (HGI) and the long-term prognosis of patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). METHODS Predicted glycated hemoglobin (HbA1c) level was calculated using an established formula and HGI represented the difference between laboratory measured HbA1c and predicted HbA1c. A total of 1780 patients were stratified into three subgroups (HGI < -0.4, -0.4 ≦ HGI < 0.12 and HGI ≧ 0.12). The primary endpoints included all-cause mortality (ACM) and cardiac mortality (CM). The secondary endpoints were major adverse cardiac events (MACEs) and major adverse cardiac and cerebrovascular events (MACCEs). RESULTS ACM occurred in 54 patients: 22 (3.7) in the low-HGI subgroup, 8 (1.3) in the moderate-HGI subgroup and 24 (4.1) in the high-HGI subgroup (p = .012). After adjusting for the traditional clinical prognostic factors, multivariate Cox regression analysis showed that patients in both the low and high HGI subgroups had significantly increased risk of ACM as compared with patients in the moderate HGI subgroup (hazard ratio [HR] = 4.979, 95% confidence interval [CI]: 1.865-13.297, p = .001 and HR = 2.918, 95% CI: 1.075-7.922, p = .036). However, we did not find significant differences in the incidence of CM, MACEs and MACCEs. CONCLUSION HGI can predicts risk for long-term mortality in patients undergoing PCI. This index could be helpful for the effective clinical management of the CAD population.
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Affiliation(s)
- Meng-Die Cheng
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun-Nan Tang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhi-Yu Liu
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qian-Qian Guo
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jian-Chao Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zeng-Lei Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng-Hua Song
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kai Wang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li-Zhu Jiang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lei Fan
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiao-Ting Yue
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Bai
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin-Ya Dai
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ru-Jie Zheng
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying-Ying Zheng
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jin-Ying Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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97
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Zhang Z, Zhao L, Lu Y, Meng X, Zhou X. Association between non-insulin-based insulin resistance indices and cardiovascular events in patients undergoing percutaneous coronary intervention: a retrospective study. Cardiovasc Diabetol 2023; 22:161. [PMID: 37386494 PMCID: PMC10311786 DOI: 10.1186/s12933-023-01898-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 06/22/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) has been confirmed that getting involved in the pathophysiological process of cardiovascular diseases (CVD). Recently, increasing evidence suggests metabolic score for insulin resistance (METS-IR), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride and glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) index are simple and reliable surrogates for IR. However, their abilities in predicting cardiovascular outcomes in patients undergoing percutaneous coronary intervention (PCI) are not well explored. Therefore, this study aimed to investigate the association and evaluate the predictive performance of each index. METHODS A total of 2533 consecutive participants undergoing PCI were included in this study, and the data from 1461 patients were used to determine the correlation of these non-insulin-based IR indices with major adverse cardiac and cerebrovascular events (MACCEs) via performing the multivariate logistic models and restricted cubic splines (RCS). RESULTS During a median of 29.8 months follow-up, 195 cases of 1461 patients experienced incident MACCEs. In the overall population, both univariate and multivariate logistic regression analyses indicated no statistically significant connection between these IR indices and MACCEs. Subgroup analyses revealed significant interactions between age subgroups and TyG-BMI index, as well as METS-IR, and between sex subgroups and TyG index. In elderly patients, per 1.0-SD increment in TyG-BMI index and METS-IR had a significant association with MACCEs, with odds ratios (ORs) [95% confidence interval (CI)] of 1.24 (1.02-1.50) and 1.27 (1.04-1.56), respectively (both P < 0.05). Moreover, in female patients, all the IR indices showed significant associations with MACCEs. Multivariable-adjusted RCS curves demonstrated a linear relationship between METS-IR and MACCEs in elderly and female patients, respectively. However, all the IR indices failed to enhance the predictive performance of the basic risk model for MACCEs. CONCLUSION All the four IR indices showed a significant association with MACCEs in female individuals, whereas only TyG-BMI index and METS-IR showed associations in elderly patients. Although the inclusion of these IR indices did not improve the predictive power of basic risk model in either female or elderly patients, METS-IR appears to be the most promising index for secondary prevention of MACCEs and risk stratification in patients undergoing PCI.
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Affiliation(s)
- Zenglei Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Lin Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yiting Lu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xu Meng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Xianliang Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, 100037, China.
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98
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Ding L, Teng R, Zhu Y, Liu F, Wu L, Qin L, Wu X, Liu T. Electroacupuncture treatment ameliorates metabolic disorders in obese ZDF rats by regulating liver energy metabolism and gut microbiota. Front Endocrinol (Lausanne) 2023; 14:1207574. [PMID: 37441502 PMCID: PMC10335763 DOI: 10.3389/fendo.2023.1207574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/09/2023] [Indexed: 07/15/2023] Open
Abstract
Metabolic disorders represent a major therapeutic challenge to public health worldwide due to their dramatically increasing prevalence. Acupuncture is widely used as adjuvant therapy for multiple metabolic diseases. However, detailed biological interpretation of the acupuncture stimulations is still limited. The gut and the liver are intrinsically connected and related to metabolic function. Microbial metabolites might affect the gut-liver axis through multiple mechanisms. Liver metabolomics and 16S rRNA sequencing were used to explore the specific mechanism of electroacupuncture in treating ZDF rats in this study. Electroacupuncture effectively improved glycolipid metabolism disorders of the ZDF rats. Histopathology confirmed that electroacupuncture improved diffuse hepatic steatosis and hepatocyte vacuolation, and promoted glycogen accumulation in the liver. The treatment significantly improved microbial diversity and richness and upregulated beneficial bacteria that maintain intestinal epithelial homeostasis and decreased bacteria with detrimental metabolic features on host metabolism. Liver metabolomics showed that the main effects of electroacupuncture include reducing the carbon flow and intermediate products in the TCA cycle, regulating the metabolism of various amino acids, and inhibiting hepatic glucose output and de novo lipogenesis. The gut-liver axis correlation analysis showed a strong correlation between the liver metabolites and the gut microbiota, especially allantoin and Adlercreutzia. Electroacupuncture treatment can improve abnormal energy metabolism by reducing oxidative stress, ectopic fat deposition, and altering metabolic fluxes. Our results will help us to further understand the specific mechanism of electroacupuncture in the treatment of metabolic diseases.
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Affiliation(s)
- Lei Ding
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Rufeng Teng
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yifei Zhu
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Fengming Liu
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lili Wu
- Key Laboratory of Health Cultivation of the Ministry of Education, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Lingling Qin
- Department of Science and Technology, Beijing University of Chinese Medicine, Beijing, China
| | - Xi Wu
- Department of Education, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Tonghua Liu
- Key Laboratory of Health Cultivation of the Ministry of Education, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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99
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Yu Y, Wang J, Ding L, Huang H, Cheng S, Deng Y, Gu M, Cai C, Ning X, Chen X, Niu H, Hua W. Sex differences in the nonlinear association of triglyceride glucose index with all-cause and cardiovascular mortality in the general population. Diabetol Metab Syndr 2023; 15:136. [PMID: 37349808 DOI: 10.1186/s13098-023-01117-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 06/17/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND The evidence on the association between the triglyceride glucose (TyG) index and the risk of death in the general population remains controversial. This study aims to investigate the relationship between the TyG index and all-cause and cardiovascular mortality in the general population, with a focus on sex differences. METHODS This prospective cohort study analyzed data from the National Health and Nutrition Examination Survey (1999-2002), comprising 7,851 US adults. The study employed multivariate Cox proportional hazards regression and two-segment Cox hazard regression models to evaluate the sex-specific differences in the relationship between the TyG index and all-cause and cardiovascular mortality. RESULTS After 11,623 person-years of follow-up, there were 539 deaths, with 10.56% due to all-cause mortality and 2.87% due to cardiovascular mortality. After adjusting for multiple variables, our study found a U-shaped association of the TyG index with all-cause and cardiovascular mortality, with inflection points at 9.36 and 9.52. A significant sex difference was observed in the association between the TyG index and mortality. Below the inflection point, the relationship between the TyG index and mortality was consistent in males and females. However, above the inflection point, only males exhibited a positive association between the TyG index and all-cause mortality (adjusted hazard risk [HR], 1.62, 95% confidence interval [CI], 1.24-2.12) and cardiovascular mortality (adjusted HR, 2.28, 95% CI, 1.32-3.92). CONCLUSIONS Our study showed a U-shaped association between the TyG index and all-cause and cardiovascular mortality in the general population. Furthermore, sex differences were observed in the association between the TyG index and mortality once it exceeded a certain threshold.
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Affiliation(s)
- Yu Yu
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Wang
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ligang Ding
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Huang
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sijing Cheng
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Deng
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Gu
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chi Cai
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohui Ning
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuhua Chen
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongxia Niu
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Hua
- Cardiac Arrhythmia Center, Department of Cardiology, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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100
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Li T, Wang P, Wang X, Liu Z, Zhang Z, Zhang Y, Wang Z, Feng Y, Wang Q, Guo X, Tang X, Xu J, Song Y, Chen Y, Xu N, Yao Y, Liu R, Zhu P, Han Y, Yuan J. Inflammation and Insulin Resistance in Diabetic Chronic Coronary Syndrome Patients. Nutrients 2023; 15:2808. [PMID: 37375712 DOI: 10.3390/nu15122808] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/11/2023] [Accepted: 06/18/2023] [Indexed: 06/29/2023] Open
Abstract
Limited evidence exists on the combined and mediating effects of systemic inflammation on the association between insulin resistance and cardiovascular events in patients with diabetes and chronic coronary syndrome (CCS). This secondary analysis of a multicenter prospective cohort included 4419 diabetic CCS patients. Triglyceride-glucose index (TyG) and high-sensitivity C-reactive protein (hsCRP) were applied to evaluate insulin resistance and systemic inflammation, respectively. The primary endpoint was major adverse cardiac event (MACE). Associations of TyG and hsCRP with cardiovascular events were estimated using Cox regression. A mediation analysis was performed to assess whether hsCRP mediates the relationship between TyG and cardiovascular events. Within a median 2.1-year follow-up period, 405 MACEs occurred. Patients with high levels of TyG and hsCRP experienced the highest MACE risk (hazard ratio = 1.82, 95% confidence interval: 1.24-2.70, p = 0.002) compared to individuals with low levels of both markers. HsCRP significantly mediated 14.37% of the relationship between TyG and MACE (p < 0.001). In diabetic CCS patients, insulin resistance and systemic inflammation synergically increased the risk of cardiovascular events, and systemic inflammation partially mediated the association between insulin resistance and clinical outcomes. Combining TyG and hsCRP can help identify high-risk patients. Controlling inflammation in patients with insulin resistance may bring added benefits.
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Affiliation(s)
- Tianyu Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Peizhi Wang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xiaozeng Wang
- Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - Zhenyu Liu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Zheng Zhang
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Yongzhen Zhang
- Department of Cardiology, Peking University Third Hospital, Beijing 100191, China
| | - Zhifang Wang
- Department of Cardiology, Xinxiang Central Hospital, Xinxiang 453002, China
| | - Yingqing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangzhou 510100, China
| | - Qingsheng Wang
- Department of Cardiology, The First Hospital of Qinhuangdao, Qinhuangdao 066000, China
| | - Xiaogang Guo
- Department of Cardiology, The First Affiliated Hospital of Zhejiang University, Hangzhou 314400, China
| | - Xiaofang Tang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jingjing Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ying Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yan Chen
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Na Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yi Yao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ru Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Pei Zhu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yaling Han
- Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - Jinqing Yuan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
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