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Zhang J, Wang Z, Li X, Zhang Y, Yuan J, Wang Z, Xu F, Chen Y, Li C. Association between phthalates exposure and myocardial damage in the general population: A cross-sectional study. ENVIRONMENTAL RESEARCH 2024; 261:119632. [PMID: 39025350 DOI: 10.1016/j.envres.2024.119632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Cardiovascular consequences of phthalates exposure have been given increasing attention, but the association of phthalates with subclinical cardiovascular disease (CVD) was unknown. Accordingly, this study aimed to investigate the association between phthalates exposure and high-sensitivity cardiac troponin I (hs-cTnI), a marker of myocardial injury, which was detectable in the subclinical stage of CVD. METHODS Participants aged 6 years or older with available urinary phthalates metabolites and serum hs-cTnI concentrations were included in the National Health and Nutrition Examination Survey 2003-2004 cycle. Multivariable linear regression and weighted quantiles sum (WQS) regression were used to assess the association of hs-cTnI with individual phthalates and their co-exposure. Di-2-ethylhexylphthalate (ΣDEHP), high-molecular-weight phthalate (ΣHMWP), and low-molecular-weight phthalate (ΣLMWP) were defined as the molecular sum of phthalates metabolites in urine. RESULTS 2241 participants were finally included. The percent change of serum hs-cTnI concentrations related to per 1-standard deviation increase of logarithmic urinary phthalates concentrations was 3.4% (0.1-6.7, P = 0.04) for ΣDEHP, 3.6% (0.3-6.9, P = 0.03) for ΣHMWP, and 3.5% (0.2-6.8, P = 0.04) for ΣLMWP. Co-exposure to phthalates metabolites expressed as the WQS index also demonstrated a positive association with hs-cTnI. A similar association pattern was found in the population with no prior CVD. CONCLUSIONS This study indicated the potential of phthalates to myocardial injury which may occur even before clinically apparent CVD was identified, emphasizing the significance of reducing phthalates in the prevention of CVD.
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Affiliation(s)
- Jiajun Zhang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Zhen Wang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoxing Li
- Department of Geriatrics, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Yiwen Zhang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Jiaquan Yuan
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Zerui Wang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Feng Xu
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Yuguo Chen
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China.
| | - Chuanbao Li
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China; NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China.
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Tabara Y, Shoji-Asahina A, Ogawa A, Sato Y. Metabolically healthy obesity and risks of cardiovascular disease and all-cause mortality, a matched cohort study: the Shizuoka study. Int J Obes (Lond) 2024; 48:1164-1169. [PMID: 38762621 DOI: 10.1038/s41366-024-01541-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Metabolically healthy obesity is not always a benign condition. It is associated with an increased incidence of cardiovascular disease and all-cause mortality. We investigated the prognostic significance of metabolically healthy obesity by comparing clinical profile-matched metabolically healthy obesity and non-obesity groups. METHODS We analyzed a health insurance dataset with annual health checkup data from Japan. The analyzed data included 168,699 individuals aged <65 years. Obesity was defined as ≥25 kg/m2 body mass index. Metabolically healthy was defined as ≤1 metabolic risk factor (high blood pressure, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, or high hemoglobin A1c). Incidence rates of stroke, myocardial infarction, and all-cause mortality identified from the insurance data were compared between metabolically healthy obesity and non-obesity groups (n = 8644 each) using a log-rank test. RESULTS The stroke (obesity: 9.2 per 10,000 person-years; non-obesity: 10.5; log-rank test p = 0.595), myocardial infarction (obesity: 3.7; non-obesity: 3.1; p = 0.613), and all-cause mortality (obesity: 26.6; non-obesity: 23.2; p = 0.304) incidence rates did not differ significantly between the metabolically healthy obesity and non-obesity groups, even when the abdominal obesity was considered in the analysis. The lack of association was also observed in the comparison between the metabolically unhealthy obesity and non-obesity groups (n = 10,965 each). The population with metabolically healthy obesity reported negligibly worse metabolic profiles than the population with non-obesity at the 5.6-year follow-up. CONCLUSION Obesity, when accompanied by a healthy metabolic profile, did not increase the risk of cardiovascular outcomes and all-cause mortality.
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Affiliation(s)
- Yasuharu Tabara
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan.
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Aya Shoji-Asahina
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan
| | - Aya Ogawa
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan
| | - Yoko Sato
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan
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Yang T, Yi J, Shao M, Linlin Z, Wang J, Huang F, Guo F, Qin G, Zhao Y. Associations between life's essential 8 and metabolic health among us adults: insights of NHANES from 2005 to 2018. Acta Diabetol 2024; 61:963-974. [PMID: 38583120 DOI: 10.1007/s00592-024-02277-2] [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: 01/18/2024] [Accepted: 03/19/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Metabolic unhealth (MUH) is closely associated with cardiovascular disease (CVD). Life's Essential 8 (LE8), a recently updated cardiovascular health (CVH) assessment, has some overlapping indicators with MUH but is more comprehensive and complicated than MUH. Given the close relationship between them, it is important to compare these two measurements. METHODS This population-based cross-sectional survey included 20- to 80-year-old individuals from 7 National Health and Nutrition Examination Survey (NHANES) cycles between 2005 and 2018. Based on the parameters provided by the American Heart Association, the LE8 score (which ranges from 0 to 100) was used to classify CVH into three categories: low (0-49), moderate (50-79), and high (80-100). The MUH status was evaluated by blood glucose, blood pressure, and blood lipids. The associations were assessed by multivariable regression analysis, subgroup analysis, restricted cubic spline models, and sensitivity analysis. RESULTS A total of 22,582 participants were enrolled (median of age was 45 years old), among them, 11,127 were female (weighted percentage, 49%) and 16,595 were classified as MUH (weighted percentage, 73.5%). The weighted median LE8 scores of metabolic health (MH) and MUH individuals are 73.75 and 59.38, respectively. Higher LE8 scores were linked to lower risks of MUH (odds ratio [OR] for every 10 scores increase, 0.53; 95% CI 0.51-0.55), and a nonlinear dose-response relationship was seen after the adjustment of potential confounders. This negative correlation between LE8 scores, and MUH was strengthened among elderly population. CONCLUSIONS Higher LE8 and its subscales scores were inversely and nonlinearly linked with the lower presence of MUH. MUH is consistent with LE8 scores, which can be considered as an alternative indicator when it is difficult to collect the information of health behaviors.
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Affiliation(s)
- Tongyue Yang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Jiayi Yi
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Mingwei Shao
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhao Linlin
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Jiao Wang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Fengjuan Huang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Feng Guo
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Guijun Qin
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yanyan Zhao
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
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Schulze MB, Stefan N. Metabolically healthy obesity: from epidemiology and mechanisms to clinical implications. Nat Rev Endocrinol 2024:10.1038/s41574-024-01008-5. [PMID: 38937638 DOI: 10.1038/s41574-024-01008-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2024] [Indexed: 06/29/2024]
Abstract
The concept of metabolic health, particularly in obesity, has attracted a lot of attention in the scientific community, and is being increasingly used to determine the risk of cardiovascular diseases and diabetes mellitus-related complications. This Review assesses the current understanding of metabolically healthy obesity (MHO). First, we present the historical evolution of the concept. Second, we discuss the evidence for and against its existence, the usage of different definitions of MHO over the years and the efforts made to provide novel definitions of MHO. Third, we highlight epidemiological data with regard to cardiovascular risk in MHO, which is estimated to be moderately elevated using widely used definitions of MHO when compared with individuals with metabolically healthy normal weight, but potentially not elevated using a novel definition of MHO. Fourth, we discuss novel findings about the physiological mechanisms involved in MHO and how such knowledge helps to identify and characterize both people with MHO and those with metabolically unhealthy normal weight. Finally, we address how the concept of MHO can be used for risk stratification and treatment in clinical practice.
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Affiliation(s)
- Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- German Center for Diabetes Research, Neuherberg, Germany.
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
| | - Norbert Stefan
- German Center for Diabetes Research, Neuherberg, Germany
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Centre Munich, Tübingen, Germany
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Yan J, Yang X, Wang J, Cai H, Che X, Ying L, Zhang T, Chen Q, Xia J, Gu L, Yuan X, Chen R, Li D, Liu Z, Dong K, He L, Zhang M, Mou S. Metabolic Risk Profile and Graft Function Deterioration 2 Years After Kidney Transplant. JAMA Netw Open 2023; 6:e2349538. [PMID: 38150251 PMCID: PMC10753396 DOI: 10.1001/jamanetworkopen.2023.49538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/07/2023] [Indexed: 12/28/2023] Open
Abstract
Importance Studies exploring the association of body weight and metabolic status with graft function deterioration (GFD) after kidney transplantation have produced inconsistent findings. Few studies have examined whether metabolically healthy overweight or obesity (MHO) may contribute to GFD. Objective To evaluate associations of overweight or obesity and metabolic disorders with GFD in recipients of kidney transplant. Design, Setting, and Participants This multicenter retrospective cohort study was conducted from January 1, 2020, through June 30, 2021, with a follow-up period of 2 years after kidney transplantation. Participants included adult recipients of cadaveric kidney transplant in 4 transplantation centers in China. Participants were classified as 4 metabolic phenotypes according to their BMI and metabolic status. Data were analyzed from July to August 2023. Exposures Overweight and obesity were characterized by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 24 or greater. Metabolic disorder was identified by existence of a minimum of 2 of 4 conditions: hypertension, hyperglycemia, increased triglyceride, and decreased high-density lipoprotein cholesterol. Main Outcome and Measures The main outcome was GFD, defined as a decrease in estimated glomerular filtration rate of at least 25% within 6 months to 2 years after transplant. Results A total of 1260 adult recipients of cadaveric kidney transplant (mean [SD] age, 43.97 [11.51] years; 755 [59.92%] male) were included in the study, and 127 (10.08%) participants experienced the primary outcome of GFD during follow-up. After accounting for confounding factors in multivariable analyses, overweight or obesity (odds ratio [OR], 1.64; 95% CI, 1.10-2.44; P = .02) and metabolic disorder (OR, 1.71; 95% CI, 1.12-2.63; P = .01) were associated with increased risk of GFD. The MHO subgroup exhibited a greater risk for GFD (OR, 2.37; 95% CI, 1.01-5.57; P = .048) compared with participants who did not have overweight or obesity or metabolic disorder. All components of metabolic disorder, with the exception of elevated triglyceride, were associated with GFD. There was a dose-response association of number of metabolic disorder components (OR per 1 additional condition, 1.40; 95% CI, 1.20-1.63; P < .001) and BMI (OR per 1-unit increase, 1.90; 95% CI, 1.03-1.15; P = .002) with increased risk for GFD. A nonlinear association was observed between BMI and risk of GFD. Conclusions and Relevance In this cohort study of recipients of cadaveric kidney transplant, individuals with overweight or obesity or metabolic disorder had a significantly higher risk of experiencing GFD. Individuals with MHO had an elevated risk for graft function deterioration. Additional studies with larger sample size and longer follow-up are necessary to validate our findings.
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Affiliation(s)
- Jiayi Yan
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaoqian Yang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieying Wang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Clinical Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Cai
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiajing Che
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Ying
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianyi Zhang
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qian Chen
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jia Xia
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leyi Gu
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodong Yuan
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruoyang Chen
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dawei Li
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihong Liu
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Dong
- Organ Transplantation Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Long He
- Organ Transplantation Center, General Hospital of Northern Theater Command, Shenyang, China
| | - Ming Zhang
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Mou
- Department of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Ozkan B, Ndumele CE. Exploring the Mechanistic Link Between Obesity and Heart Failure. Curr Diab Rep 2023; 23:347-360. [PMID: 38100052 DOI: 10.1007/s11892-023-01526-y] [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] [Accepted: 11/07/2023] [Indexed: 01/14/2024]
Abstract
PURPOSE OF REVIEW Among subtypes of cardiovascular disease, obesity has a potent and unique association with heart failure (HF) that is unexplained by traditional cardiovascular risk mediators. The concomitant rise in the prevalence of obesity and HF necessitates better understanding of their relationship to develop effective prevention and treatment strategies. The purpose of this review is to provide mechanistic insight regarding the link between obesity and HF by elucidating the direct and indirect pathways linking the two conditions. RECENT FINDINGS Several direct pathophysiologic mechanisms contribute to HF risk in individuals with excess weight, including hemodynamic alterations, neurohormonal activation, hormonal effects of dysfunctional adipose tissue, ectopic fat deposition with resulting lipotoxicity and microvascular dysfunction. Obesity further predisposes to HF indirectly through causal associations with hypertension, dyslipidemia, and most importantly, diabetes via insulin resistance. Low levels of physical activity and fitness further influence HF risk in the context of obesity. These various processes lead to myocardial injury and cardiac remodeling that are reflected by abnormalities in cardiac biomarkers and cardiac function on myocardial imaging. Understanding and addressing obesity-associated HF is a pressing clinical and public health challenge which can be informed by a deeper understanding of the complex pathways linking these two conditions together.
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Affiliation(s)
- Bige Ozkan
- Division of Cardiology, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, 600 N Wolfe St, Carnegie, Baltimore, MD, 568, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Chiadi E Ndumele
- Division of Cardiology, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, 600 N Wolfe St, Carnegie, Baltimore, MD, 568, USA.
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Ndumele CE, Neeland IJ, Tuttle KR, Chow SL, Mathew RO, Khan SS, Coresh J, Baker-Smith CM, Carnethon MR, Després JP, Ho JE, Joseph JJ, Kernan WN, Khera A, Kosiborod MN, Lekavich CL, Lewis EF, Lo KB, Ozkan B, Palaniappan LP, Patel SS, Pencina MJ, Powell-Wiley TM, Sperling LS, Virani SS, Wright JT, Rajgopal Singh R, Elkind MSV, Rangaswami J. A Synopsis of the Evidence for the Science and Clinical Management of Cardiovascular-Kidney-Metabolic (CKM) Syndrome: A Scientific Statement From the American Heart Association. Circulation 2023; 148:1636-1664. [PMID: 37807920 DOI: 10.1161/cir.0000000000001186] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
A growing appreciation of the pathophysiological interrelatedness of metabolic risk factors such as obesity and diabetes, chronic kidney disease, and cardiovascular disease has led to the conceptualization of cardiovascular-kidney-metabolic syndrome. The confluence of metabolic risk factors and chronic kidney disease within cardiovascular-kidney-metabolic syndrome is strongly linked to risk for adverse cardiovascular and kidney outcomes. In addition, there are unique management considerations for individuals with established cardiovascular disease and coexisting metabolic risk factors, chronic kidney disease, or both. An extensive body of literature supports our scientific understanding of, and approach to, prevention and management for individuals with cardiovascular-kidney-metabolic syndrome. However, there are critical gaps in knowledge related to cardiovascular-kidney-metabolic syndrome in terms of mechanisms of disease development, heterogeneity within clinical phenotypes, interplay between social determinants of health and biological risk factors, and accurate assessments of disease incidence in the context of competing risks. There are also key limitations in the data supporting the clinical care for cardiovascular-kidney-metabolic syndrome, particularly in terms of early-life prevention, screening for risk factors, interdisciplinary care models, optimal strategies for supporting lifestyle modification and weight loss, targeting of emerging cardioprotective and kidney-protective therapies, management of patients with both cardiovascular disease and chronic kidney disease, and the impact of systematically assessing and addressing social determinants of health. This scientific statement uses a crosswalk of major guidelines, in addition to a review of the scientific literature, to summarize the evidence and fundamental gaps related to the science, screening, prevention, and management of cardiovascular-kidney-metabolic syndrome.
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Preda A, Carbone F, Tirandi A, Montecucco F, Liberale L. Obesity phenotypes and cardiovascular risk: From pathophysiology to clinical management. Rev Endocr Metab Disord 2023; 24:901-919. [PMID: 37358728 PMCID: PMC10492705 DOI: 10.1007/s11154-023-09813-5] [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] [Accepted: 05/31/2023] [Indexed: 06/27/2023]
Abstract
Obesity epidemic reached the dimensions of a real global health crisis with more than one billion people worldwide living with obesity. Multiple obesity-related mechanisms cause structural, functional, humoral, and hemodynamic alterations with cardiovascular (CV) deleterious effects. A correct assessment of the cardiovascular risk in people with obesity is critical for reducing mortality and preserving quality of life. The correct identification of the obesity status remains difficult as recent evidence suggest that different phenotypes of obesity exist, each one associated with different degrees of CV risk. Diagnosis of obesity cannot depend only on anthropometric parameters but should include a precise assessment of the metabolic status. Recently, the World Heart Federation and World Obesity Federation provided an action plan for management of obesity-related CV risk and mortality, stressing for the instauration of comprehensive structured programs encompassing multidisciplinary teams. In this review we aim at providing an updated summary regarding the different obesity phenotypes, their specific effects on CV risk and differences in clinical management.
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Affiliation(s)
| | - Federico Carbone
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
- Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy
| | - Amedeo Tirandi
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
- Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy
| | - Fabrizio Montecucco
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy.
- Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy.
| | - Luca Liberale
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
- Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy
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9
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Huang J, Gao T, Zhang H, Wang X. Association of obesity profiles and metabolic health status with liver injury among US adult population in NHANES 1999-2016. Sci Rep 2023; 13:15958. [PMID: 37749307 PMCID: PMC10519960 DOI: 10.1038/s41598-023-43028-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/18/2023] [Indexed: 09/27/2023] Open
Abstract
The combined effect of obesity and metabolic abnormalities on liver injury is unclear. Aiming to address this knowledge gap, this cross-sectional study was conducted among 16,201 US adults. Multiple linear regression and logistic regression analyses were conducted to assess the associations of obesity profiles, metabolic health status, and weight change with the levels of liver enzymes. The analysis revealed that general obesity and abdominal obesity were positively associated with the levels of liver enzymes and the prevalence of abnormal liver enzymes (P and Ptrend < 0.05). The associations remained significant in both metabolically healthy and metabolically unhealthy subgroups. Additionally, the liver injury index levels of the metabolically unhealthy participants were higher than those of the metabolically healthy individuals within the non-obese, overweight/pre-abdominal obesity, and general/abdominal obesity subgroups (P and Ptrend < 0.05). Furthermore, the subgroup characterized by general/abdominal obesity and metabolic dysfunction exhibited the most robust association with the liver injury index compared to all other subgroups examined. In addition, positive associations were observed between the 1-year and 10-year weight changes and the levels of liver injury indicators (P and Ptrend < 0.05). In conclusion, this study demonstrates that both obesity and metabolic impairment are independently associated with liver injury, and their combined presence have an additional adverse effect on liver health. These findings underscore the importance of addressing both obesity and metabolic dysfunction in order to mitigate the risk of liver injury.
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Affiliation(s)
- Jing Huang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Tian Gao
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Huinan Zhang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Xing Wang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China.
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10
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Mintoff D, Agius R, Fava S, Pace NP. Investigating Adiposity-Related Metabolic Health Phenotypes in Patients with Hidradenitis Suppurativa: A Cross-Sectional Study. J Clin Med 2023; 12:4847. [PMID: 37510962 PMCID: PMC10381271 DOI: 10.3390/jcm12144847] [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: 07/07/2023] [Revised: 07/20/2023] [Accepted: 07/22/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Obesity and hidradenitis suppurativa (HS) are related through meta-inflammation and are both associated with increased cardiometabolic risk. Notwithstanding, cardiometabolic pathology is not uniform in obesity and a subset of individuals with excess adiposity exhibit a healthy metabolic profile. Whilst the incidence of cardiometabolic endpoints and transitions across different adiposity-related body composition phenotypes within several populations and across different ethnicities have been investigated, data regarding metabolic health (MetH) and body composition phenotypes in individuals with HS are lacking. The objective of this study was to evaluate the relationship between different body composition phenotypes in individuals with HS. METHODS This was a cross-sectional study of 632 individuals with and without HS from a population with a high prevalence of both obesity and HS. A total of four body composition phenotypes were generated based on BMI and metabolic status (defined using either the metabolic syndrome definition or the homeostasis model of insulin resistance (HOMA-IR)): metabolically healthy overweight/obese (MHOWOB), metabolically unhealthy overweight/obese (MUOWOB), metabolically healthy normal weight (MHNW), and metabolically unhealthy normal weight (MUNW). RESULTS Generally, subjects with HS exhibited a worse metabolic profile with higher levels of indices of central adiposity measures (including Visceral Adiposity Index and waist circumference), systolic blood pressure and markers of insulin resistance, as well as a higher prevalence of the metabolic syndrome. Moreover, when sub-stratified into the different body composition phenotypes, individuals with HS typically also demonstrated adverse metabolic characteristics relative to controls matched for both adiposity and metabolic health, particularly in the normal weight category and despite being classified as metabolically healthy. Being metabolically unhealthy in addition to being overweight/obese increases an individual's risk of HS. CONCLUSIONS Metabolic risk-assessment should be prioritized in the clinical management of individuals with HS even in those who are lean. Patients attending HS clinics provide a valuable opportunity for targeted cardiovascular risk reduction with respect to the management of both obesity and metabolic health.
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Affiliation(s)
- Dillon Mintoff
- Department of Pathology, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta
- Department of Dermatology, Mater Dei Hospital, MSD2090 Msida, Malta
| | - Rachel Agius
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta
- Department of Medicine, Mater Dei Hospital, MSD2090 Msida, Malta
| | - Stephen Fava
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta
- Department of Medicine, Mater Dei Hospital, MSD2090 Msida, Malta
| | - Nikolai P Pace
- Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta
- Centre for Molecular Medicine and Biobanking, University of Malta, MSD2080 Msida, Malta
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11
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Zhao H, Huang R, Jiang M, Wang W, Chai Y, Liu Q, Zhang W, Han Y, Yan F, Lu Q, Tao Z, Wu Q, Yue J, Ma J, Pu J. Myocardial Tissue-Level Characteristics of Adults With Metabolically Healthy Obesity. JACC Cardiovasc Imaging 2023; 16:889-901. [PMID: 37052557 DOI: 10.1016/j.jcmg.2023.01.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 04/14/2023]
Abstract
BACKGROUND It remains unclear whether adults with metabolically healthy obesity (MHO) have altered myocardial tissue-level characteristics. OBJECTIVES This study aims to assess the subclinical myocardial tissue-level characteristics of adults with MHO. METHODS The EARLY-MYO-OBESITY (EARLY Assessment of MYOcardial Tissue Characteristics in OBESITY; NCT05277779) registry was a prospective, 3-center, cardiac imaging study of obese nondiabetic individuals without cardiac symptoms who underwent cardiac magnetic resonance. Myocardial tissue-level characteristics, including extracellular volume fraction (ECV) and native T2 values, were measured as indicators of myocardial fibrosis and edema. Global longitudinal peak systolic strain and early diastolic longitudinal strain rate were assessed by tissue tracking analysis to detect subclinical systolic and diastolic dysfunction. RESULTS A total of 120 participants were included: MHO (n = 32; mean age, 38 years; 41% men), metabolically healthy controls without obesity (n = 32; mean age: 37 years; 41% men), and metabolically unhealthy obesity (MUHO) (n = 56; mean age: 37 years; 55% men). The MHO group had higher ECV and native T2 values than healthy controls (both P < 0.001); furthermore, the ECV was higher in the MUHO group than in the MHO group (P = 0.002). The prevalence of myocardial fibrosis was 44% (14 of 32) in the MHO group and 71% (40 of 56) in the MUHO group. Although there was no intergroup difference in left ventricular ejection fraction, the MHO group had reduced global longitudinal peak systolic and early diastolic longitudinal strain rates, indicating subclinical systolic and diastolic dysfunction. Multivariate regression analysis identified increased body mass index to be an independent risk factor for myocardial fibrosis (OR: 6.28 [95% CI: 3.17-12.47]; P < 0.001). CONCLUSIONS This study provides the first evidence of subclinical myocardial tissue-level remodeling in adults with obesity, regardless of metabolic health. Early identification of cardiac impairment may facilitate preventive strategies against heart failure in the MHO population. (EARLY Assessment of MYOcardial Tissue Characteristics in OBESITY [EARLY-MYO-OBESITY]; NCT05277779).
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Affiliation(s)
- Hang Zhao
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rong Huang
- Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Wei Wang
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yezi Chai
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qiming Liu
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhang
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuchi Han
- Cardiovascular Division, The Ohio State Wexner Medical Center, Columbus, Ohio, USA
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qifan Lu
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhengyu Tao
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qizhen Wu
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiang Yue
- Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Ma
- Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Jun Pu
- Division of Cardiology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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12
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Sia CH, Ko J, Zheng H, Ho AFW, Foo D, Foo LL, Lim PZY, Liew BW, Chai P, Yeo TC, Yip JWL, Chua T, Chan MYY, Tan JWC, Bulluck H, Hausenloy DJ. Association of body mass index, metabolic health status and clinical outcomes in acute myocardial infarction patients: a national registry-based study. Front Cardiovasc Med 2023; 10:1142078. [PMID: 37435049 PMCID: PMC10331723 DOI: 10.3389/fcvm.2023.1142078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/13/2023] [Indexed: 07/13/2023] Open
Abstract
Introduction Obesity is an important risk factor for acute myocardial infarction (AMI), but the interplay between metabolic health and obesity on AMI mortality has been controversial. In this study, we aimed to elucidate the risk of short- and long-term all-cause mortality by obesity and metabolic health in AMI patients using data from a multi-ethnic national AMI registry. Methods A total of 73,382 AMI patients from the national Singapore Myocardial Infarction Registry (SMIR) were included. These patients were classified into four groups based on the presence or absence of metabolic diseases, diabetes mellitus, hyperlipidaemia, and hypertension, and obesity: (1) metabolically-healthy-normal-weight (MHN); (2) metabolically-healthy-obese (MHO); (3) metabolically-unhealthy-normal-weight (MUN); and (4) metabolically-unhealthy-obese (MUO). Results MHO patients had reduced unadjusted risk of all-cause in-hospital, 30-day, 1-year, 2-year, and 5-year mortality following the initial MI event. However, after adjusting for potential confounders, the protective effect from MHO on post-AMI mortality was lost. Furthermore, there was no reduced risk of recurrent MI or stroke within 1-year from onset of AMI by the MHO status. However, the risk of 1-year mortality was higher in female and Malay AMI patients with MHO compared to MHN even after adjusting for confounders. Conclusion In AMI patients with or without metabolic diseases, the presence of obesity did not affect mortality. The exception to this finding were female and Malay MHO who had worse long-term AMI mortality outcomes when compared to MHN suggesting that the presence of obesity in female and Malay patients may confer worsened outcomes.
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Affiliation(s)
- Ching-Hui Sia
- Department of Cardiology, National University Heart Centre Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Junsuk Ko
- MD Program, Duke-NUS Medical School, Singapore
| | - Huili Zheng
- Health Promotion Board, National Registry of Diseases Office, Singapore, Singapore
| | - Andrew Fu-Wah Ho
- SingHealth Duke-NUS Emergency Medicine Academic Clinical Programme, Singapore
- National Heart Research Institute Singapore, NationalHeart Centre Singapore, Singapore
- Pre-hospital and Emergency Care Research Centre, Health Services and Systems Research, Duke-NUS Medical School
| | - David Foo
- Tan Tock Seng Hospital, Singapore, Singapore
| | - Ling-Li Foo
- Health Promotion Board, National Registry of Diseases Office, Singapore, Singapore
| | | | | | - Ping Chai
- Department of Cardiology, National University Heart Centre Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tiong-Cheng Yeo
- Department of Cardiology, National University Heart Centre Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - James W. L. Yip
- Department of Cardiology, National University Heart Centre Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Terrance Chua
- Department of Cardiology, National Heart Centre Singapore, Singapore
| | - Mark Yan-Yee Chan
- Department of Cardiology, National University Heart Centre Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | | | - Derek J. Hausenloy
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- National Heart Research Institute Singapore, NationalHeart Centre Singapore, Singapore
- Cardiovascular & Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore
- The Hatter Cardiovascular Institute, University College London, London, United Kingdom
- Cardiovascular Research Center, College of Medical and Health Sciences, Asia University, Taiwan
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13
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Zhang H, Chen R, Xu X, Yang M, Xu W, Xiang S, Wang L, Jiang X, Hua F, Huang X. Metabolically healthy obesity is associated with higher risk of both hyperfiltration and mildly reduced estimated glomerular filtration rate: the role of serum uric acid in a cross-sectional study. J Transl Med 2023; 21:216. [PMID: 36959674 PMCID: PMC10035285 DOI: 10.1186/s12967-023-04003-y] [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: 10/10/2022] [Accepted: 02/16/2023] [Indexed: 03/25/2023] Open
Abstract
BACKGROUND The impact of metabolically healthy obesity (MHO) on kidney dysfunction remains debatable. Moreover, few studies have focused on the early stages of kidney dysfunction indicated by hyperfiltration and mildly reduced eGFR. Thus, we aimed to investigate the association between the MHO and early kidney dysfunction, which is represented by hyperfiltration and mildly reduced estimated glomerular filtration rate (eGFR), and to further explore whether serum uric acid affects this association. METHODS This cross-sectional study enrolled 1188 residents aged ≥ 40 years old from Yonghong Communities. Metabolically healthy phenotypes were categorized based on Adult Treatment Panel III criteria. Obesity was defined as body mass index (BMI) ≥ 25 kg/m2. Mildly reduced eGFR was defined as being in the range 60 < eGFR ≤ 90 ml/min/1.73m2. Hyperfiltration was defined as eGFR > 95th percentile after adjusting for sex, age, weight, and height. RESULTS Overall, MHO accounted for 12.8% of total participants and 24.6% of obese participants. Compared to metabolically healthy non-obesity (MHNO), MHO was significantly associated with an increased risk of mildly reduced eGFR (odds ratio [OR] = 1.85, 95% confidence interval [CI] 1.13-3.01) and hyperfiltration (OR = 2.28, 95% CI 1.03-5.09). However, upon further adjusting for uric acid, the association between the MHO phenotype and mildly reduced eGFR was reduced to null. Compared with MHNO/non-hyperuricemia, MHO/non-hyperuricemia was associated with an increased risk of mildly reduced eGFR (OR = 2.04, 95% CI 1.17-3.58), whereas MHO/hyperuricemia was associated with an observably increased risk (OR = 3.07, 95% CI 1.34-7.01). CONCLUSIONS MHO was associated with an increased risk of early kidney dysfunction, and the serum uric acid partially mediated this association. Further prospective studies are warranted to clarify the causality.
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Affiliation(s)
- Hong Zhang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Rui Chen
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Xiaohong Xu
- Department of Nephrology, Nanjing Drum Tower Hospital Group Suqian Hospital, Suqian, 223800, Jiangsu, China
- Department of Nephrology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, 223800, Jiangsu, China
| | - Minxing Yang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Wenrong Xu
- Department of Immunization Program, Liangxi District Center for Disease Control and Prevention, Wuxi, 214000, Jiangsu, China
| | - Shoukui Xiang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Long Wang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Xiaohong Jiang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China
| | - Fei Hua
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
| | - Xiaolin Huang
- Department of Endocrine and Metabolic Diseases, The First People's Hospital of Changzhou, Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
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14
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Association of metabolically healthy obesity in young adulthood with myocardial structure and function. Int J Obes (Lond) 2023; 47:399-405. [PMID: 36899038 DOI: 10.1038/s41366-023-01288-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/13/2023] [Accepted: 02/22/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND Obesity is major cause of cardiovascular diseases. Metabolically healthy obesity (MHO) may increase heart failure risk early in life, and may be reflected in impaired cardiac structure and function. Therefore, we aimed to examine the relationship between MHO in young adulthood and cardiac structure and function. METHODS A total of 3066 participants from the Coronary Artery Risk Development in Young Adults (CARDIA) study were included, who completed echocardiography in young adulthood and middle age. The participants were grouped by obesity status (body mass index ≥30 kg/m2) and poor metabolic health (≥2 criteria for metabolic syndrome) into four metabolic phenotypes as follows: metabolically healthy non-obesity (MHN), MHO, metabolically unhealthy non-obesity (MUN), metabolically unhealthy obesity (MUO). The associations of the metabolic phenotypes (MHN serving as the reference) with left ventricular (LV) structure and function were evaluated using multiple linear regression models. RESULTS At baseline, mean age was 25 years, 56.4% were women, and 44.7% were black. After a follow-up 25 years, MUN in young adulthood was associated with worse LV diastolic function (E/é ratio, β [95% CI], 0.73 [0.18, 1.28]), worse systolic function (global longitudinal strain [GLS], 0.60 [0.08, 1.12]) in comparison with MHN. MHO and MUO were associated with LV hypertrophy (LV mass index, 7.49 g/m2 [4.63, 10.35]; 18.23 g/m2 [12.47, 23.99], respectively), worse diastolic function (E/é ratio, 0.67 [0.31, 1.02]; 1.47 [0.79, 2.14], respectively), and worse systolic function (GLS, 0.72 [0.38, 1.06]; 1.35 [0.64, 2.05], respectively) in comparison with MHN. These results were consistent in several sensitivity analyses. CONCLUSIONS In this community-based cohort using data from the CARDIA study, obesity in young adulthood was significantly associated with LV hypertrophy, worse systolic and diastolic function regardless of metabolic status. Relationship of Baseline Metabolic Phenotypes with Young Adulthood and Midlife Cardiac Structure and Function. Adjusted for year 0 covariates: age, sex, race, educational level, smoking status, drinking status, and physical activity; metabolically healthy non-obesity was used as a reference category for comparison. † Criteria for metabolic syndrome are listed in Supplementary Table S6. MUN metabolically unhealthy non-obesity, MHO metabolically healthy obesity, LVMi left ventricular mass index, LVEF left ventricular ejection fraction, E/A early to late peak diastolic mitral flow velocity ratio, E/é mitral inflow velocity to early diastolic mitral annular velocity, CI confidence interval.
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15
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Wang X, Dong J, Du Z, Jiang J, Hu Y, Qin L, Hao Y. Risk of Heart Failure between Different Metabolic States of Health and Weight: A Meta-Analysis of Cohort Studies. Nutrients 2022; 14:nu14245223. [PMID: 36558382 PMCID: PMC9785251 DOI: 10.3390/nu14245223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/28/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
We conducted a systematic review of cohort studies comparing the risk of heart failure in people with differing metabolic health and obesity statuses. We searched three electronic databases (PubMed, Web of Science, Scopus), where the studies of the relationships of metabolic health and obesity statuses with heart failure were included. Fixed-effects or random-effects models were used to estimate the summary relative risks [RRs]. Ten cohort studies were selected. Compared with individuals with normal metabolic health and body mass, the pooled RRs (95% confidence intervals) for heart failure were 1.23 (1.17, 1.29) for metabolic healthy overweight individuals, 1.52 (1.40, 1.64) for metabolic healthy individuals with obesity, 1.56 (1.30, 1.87) for metabolically unhealthy normal-weight individuals, 1.75 (1.55, 1.98) for metabolically unhealthy overweight individuals, and 2.28 (1.96, 2.66) for metabolic unhealthy individuals with obesity. A sensitivity analysis suggested that no single study had a substantial effect on the results. The Egger's and Begg's tests showed no evidence of publication bias. People with overweight or obesity were at a higher risk of heart failure, even if metabolically healthy. In addition, compared with metabolically healthy normal-weight individuals; metabolically unhealthy normal-weight individuals, and those with overweight or and obesity, were at higher risk of heart failure.
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Affiliation(s)
- Xiaowen Wang
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka 5650871, Japan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Jiayi Dong
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka 5650871, Japan
- Correspondence: (J.D.); (Y.H.); Tel.: +81-06-6879-3911 (J.D.); +86-10-8280-5061 (Y.H.)
| | - Zhicheng Du
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Jie Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Liqiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou 215000, China
| | - Yuantao Hao
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China
- Correspondence: (J.D.); (Y.H.); Tel.: +81-06-6879-3911 (J.D.); +86-10-8280-5061 (Y.H.)
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16
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Killeen SL, Byrne DF, Geraghty AA, Yelverton CA, van Sinderen D, Cotter PD, Murphy EF, O’Reilly SL, McAuliffe FM. Recruiting and Engaging Women of Reproductive Age with Obesity: Insights from A Mixed-Methods Study within A Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13832. [PMID: 36360712 PMCID: PMC9658053 DOI: 10.3390/ijerph192113832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/14/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Engaging women with obesity in health-related studies during preconception is challenging. Limited data exists relating to their participation. The aim of this study is to explore the experiences and opinions of women participating in a weight-related, preconception trial. This is an explanatory sequential (quan-QUAL) mixed-methods Study Within A Trial, embedded in the GetGutsy randomized controlled trial (ISRCTN11295995). Screened participants completed an online survey of eight questions (single or multiple choice and Likert scale) on recruitment, motivations and opinions on study activities. Participants with abdominal obesity (waist circumference ≥ 80 cm) were invited to a subsequent semi-structured, online focus group (n = 2, 9 participants) that was transcribed and analyzed using inductive thematic analysis, with a pragmatic epistemological approach. The survey (n = 102) showed the main research participation motivations were supporting health research (n = 38, 37.3%) and wanting health screening (n = 30, 29.4%). Most participants were recruited via email (n = 35, 34.7%) or social media (n = 15, 14.7%). In the FGs, participants valued flexibility, convenience and. research methods that aligned with their lifestyles. Participants had an expanded view of health that considered emotional well-being and balance alongside more traditional medical assessments. Clinical trialists should consider well-being, addressing the interconnectedness of health and incorporate a variety of research activities to engage women of reproductive age with obesity.
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Affiliation(s)
- Sarah Louise Killeen
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
| | - David F. Byrne
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
| | - Aisling A. Geraghty
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Cara A. Yelverton
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
| | - Douwe van Sinderen
- APC Microbiome Ireland, Biosciences Research Institute, National University of Ireland, T12 K8AF Cork, Ireland
- School of Microbiology, National University of Ireland, T12 K8AF Cork, Ireland
| | - Paul D. Cotter
- APC Microbiome Ireland, Biosciences Research Institute, National University of Ireland, T12 K8AF Cork, Ireland
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland
| | - Eileen F. Murphy
- Precision Biotics Ltd. (Novozymes Cork), Cork Airport Business Park, Kinsale Road, T12 D292 Cork, Ireland
| | - Sharleen L. O’Reilly
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Fionnuala M. McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
- APC Microbiome Ireland, Biosciences Research Institute, National University of Ireland, T12 K8AF Cork, Ireland
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Putra ICS, Kamarullah W, Prameswari HS, Pramudyo M, Iqbal M, Achmad C, Akbar MR, Tiksnadi BB. Metabolically unhealthy phenotype in normal weight population and risk of mortality and major adverse cardiac events: A meta-analysis of 41 prospective cohort studies. Diabetes Metab Syndr 2022; 16:102635. [PMID: 36240685 DOI: 10.1016/j.dsx.2022.102635] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/14/2022] [Accepted: 09/25/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS It is still debatable whether metabolic status in normal weight population increases the risk of mortality (all-cause mortality (ACM), cardiovascular mortality (CVM)) and major adverse cardiac events (MACE) as compared to the obese population. Therefore, this meta-analysis aims to evaluate the association of the metabolically unhealthy normal weight (MUH-NW) phenotype with all-cause mortality, cardiovascular mortality, and MACE in comparison to metabolically healthy obesity (MH-O), along with the association of metabolically unhealthy obesity (MUH-O) phenotype regarding the same outcomes compared to MUH-NW. METHODS A systematic literature search was conducted using online databases from inception to June 20, 2022, to comprehensively search all prospective cohort studies comprising three variables including adults aged ≥18 years, obesity and four metabolic phenotypes, and interest outcomes (ACM, CVM, and MACE). RESULTS Forty-one prospective cohort studies with a total of 4,028,750 participants was included in this study. Compared to MH-O, MUH-NW had a substantially higher risk of ACM (RR = 1.47 (95%CI = 1.32-1.64); P < 0.001; I2 = 89.8%,P-heterogeneity<0.001), CVM (RR = 2.37 (95%CI = 1.97-2.86); P < 0.001; I2 = 83.7%,P-heterogeneity<0.001), and MACE (RR = 1.73 (95%CI = 1.49-2.00); P < 0.001; I2 = 74.3%,P-heterogeneity<0.001). Moreover, MUH-O did not have a significantly elevated risk of ACM (RR = 0.97 (95%CI = 0.82-1.15); P = 0.736; I2 = 98.3%,P-heterogeneity<0.001), CVM (RR = 0.96 (95%CI = 0.88-1.05); P = 0.394; I2 = 77.0%,P-heterogeneity<0.001), and MACE (RR = 0.95 (95%CI = 0.80-1.13); P = 0.570; I2 = 92.2%,P-heterogeneity<0.001) compared to MUH-NW. CONCLUSION In conclusion, MUH-NW was superior but not inferior to MH-O and MUH-O in terms of increased risk of interest outcomes, refuting the notion that normal weight population is a benign condition. Hence, in normal weight population, metabolic screening is highly suggested to measure the baseline of obesity and metabolic phenotypes, thus preventing the risk of CVD and mortality in the future.
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Affiliation(s)
- Iwan Cahyo Santosa Putra
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - William Kamarullah
- R. Syamsudin SH Regional Public Hospital, Sukabumi, West Java, Indonesia.
| | - Hawani Sasmaya Prameswari
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - Miftah Pramudyo
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - Mohammad Iqbal
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - Chaerul Achmad
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - Mohammad Rizki Akbar
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
| | - Badai Bhatara Tiksnadi
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia.
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Kong L, Qi Y, Ye C, Wang Y, Zhao Z, Li M, Wang S, Lin H, Xu Y, Xu M, Lu J, Chen Y, Wang W, Ning G, Bi Y, Wang T. Diabesity phenotype and the risks of cardiovascular disease and subclinical atherosclerosis: A prospective cohort study. Obesity (Silver Spring) 2022; 30:1681-1690. [PMID: 35851578 DOI: 10.1002/oby.23465] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/10/2022] [Accepted: 04/16/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the associations of diabesity with incident cardiovascular disease (CVD) and subclinical atherosclerosis. METHODS The prospective cohort study included 8,006 participants without baseline CVD. Diabesity was categorized as (i) normal glucose tolerance (NGT) with nonobesity; (ii) NGT with obesity; (iii) prediabetes with nonobesity; (iv) prediabetes with obesity; (v) diabetes with nonobesity; and (vi) diabetes with obesity. The hazard ratios (HRs) for incident CVD and odds ratios (ORs) for subclinical atherosclerosis associated with diabesity categories were examined. RESULTS Compared with the category of NGT with nonobesity, the categories of NGT with obesity (HR 1.68; 95% CI: 1.10-2.57), diabetes with nonobesity (HR 1.42; 95% CI: 1.08-1.88), and diabetes with obesity (HR 1.78; 95% CI: 1.24-2.55) were associated with higher risks of CVD. Prediabetes with or without obesity conferred no excess risk for CVD but higher risks for subclinical atherosclerosis. The diabetes with obesity category was associated with the highest risk for elevated pulse pressure (OR 3.07; 95% CI: 2.06-4.58) and albuminuria (OR 3.39; 95% CI: 2.31-4.99), and diabetes with or without obesity showed comparable ORs for elevated brachial-ankle pulse wave velocity. CONCLUSIONS The association patterns between diabesity and CVD risks support the value of diabesity as a prevention target for CVD.
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Affiliation(s)
- Lijie Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaojie Ye
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiying Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine and Metabolic Diseases, State Key Laboratory for Endocrine Tumor, State Key Laboratory for Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Smith DL, Graham EL, Douglas JA, Jack K, Conner MJ, Arena R, Chaudhry S. Subclinical Cardiac Dysfunction is Associated with Reduced Cardiorespiratory Fitness and Cardiometabolic Risk Factors in Firefighters. Am J Med 2022; 135:752-760.e3. [PMID: 35134370 DOI: 10.1016/j.amjmed.2021.12.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Past studies have documented the ability of cardiopulmonary exercise testing to detect cardiac dysfunction in symptomatic patients with coronary artery disease. Firefighters are at high risk for work-related cardiac events. This observational study investigated the association of subclinical cardiac dysfunction detected by cardiopulmonary exercise testing with modifiable cardiometabolic risk factors in asymptomatic firefighters. METHODS As part of mandatory firefighter medical evaluations, study subjects were assessed at 2 occupational health clinics serving 21 different fire departments. Mixed effects logistic regression analyses were used to estimate odds ratios (ORs) and account for clustering by fire department. RESULTS Of the 967 male firefighters (ages 20-60 years; 84% non-Hispanic white; 14% on cardiovascular medications), nearly two-thirds (63%) had cardiac dysfunction despite having normal predicted cardiorespiratory fitness (median peak VO2 = 102%). In unadjusted analyses, cardiac dysfunction was significantly associated with advanced age, obesity, diastolic hypertension, high triglycerides, low high-density lipoprotein (HDL) cholesterol, and reduced cardiorespiratory fitness (all P values < .05). After adjusting for age and ethnicity, the odds of having cardiac dysfunction were approximately one-third higher among firefighters with obesity and diastolic hypertension (OR = 1.39, 95% confidence interval [CI] = 1.03-1.87 and OR = 1.36, 95% CI = 1.03-1.80) and more than 5 times higher among firefighters with reduced cardiorespiratory fitness (OR = 5.41, 95% CI = 3.29-8.90). CONCLUSION Subclinical cardiac dysfunction detected by cardiopulmonary exercise testing is a common finding in career firefighters and is associated with substantially reduced cardiorespiratory fitness and cardiometabolic risk factors. These individuals should be targeted for aggressive risk factor modification to increase cardiorespiratory fitness as part of an outpatient prevention strategy to improve health and safety.
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Affiliation(s)
- Denise L Smith
- First Responder Health and Safety Lab, Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY
| | - Elliot L Graham
- First Responder Health and Safety Lab, Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY
| | - Julie A Douglas
- Department of Mathematics and Statistics, Skidmore College, Saratoga Springs, NY; Department of Human Genetics, University of Michigan, Ann Arbor
| | | | | | - Ross Arena
- Department of Physical Therapy, College of Applied Health Sciences, University of Illinois, Chicago, Chicago; Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, Ill
| | - Sundeep Chaudhry
- Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, Ill; Research and Development, MET-TEST, Atlanta, Ga.
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Wang Z, You Y, Yin Z, Bao Q, Lei S, Yu J, Xie C, Ye F, Xie X. Burden of Aortic Aneurysm and Its Attributable Risk Factors from 1990 to 2019: An Analysis of the Global Burden of Disease Study 2019. Front Cardiovasc Med 2022; 9:901225. [PMID: 35711350 PMCID: PMC9197430 DOI: 10.3389/fcvm.2022.901225] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 04/26/2022] [Indexed: 12/18/2022] Open
Abstract
Background Global and national estimates on the epidemiology of aortic aneurysms are prerequisites for disease management and policymaking. Based on the Global Burden of Disease (GBD) 2019, this study aimed to discern the global aortic aneurysm burden by systematically analyzing demographic data on mortality and exploring the attributable risks and relevant factors. Methods The data analyzed in this study were available in the Global Health Data Exchange (GHDx) online query tool. The population in our study comprised individuals from 204 countries and territories from 1990 to 2019. The estimated annual percentage changes (EAPCs) were performed to assess the temporal trends of aortic aneurysms and their attributable risks. Spearman correlation analysis was performed to explore the relationship between the burden of aortic aneurysm and covariates. Results Although aortic aneurysm-related deaths (82.1%) and disability-adjusted life years (DALYs) (67%) increased from 1990 to 2019, the global trend of age-standardized rate of death (ASRD) (EAPC: −1.34, 95% CI = −1.46 to −1.22, P < 0.001) and age-standardized rate of DALY (ASDALYR) (EAPC: −1.06, 95% CI = −1.17 to −0.95, P < 0.001) decreased, both of which presented age dependence and gender differences. Smoking and high systolic blood pressure (SBP) were the main attributable risks of disease burden and tend to decease globally (EAPC: −1.89, 95% CI = −2.03 to −1.89, P < 0.001; −1.31 95% CI = −1.43 to −1.19, P < 0.001, respectively). Alcohol abstinence (male: R = −0.71, P < 0.001; female: R = −0.73, P < 0.001), smoking age of initiation (male: R = −0.32, P < 0.001; female: R = −0.50, P < 0.001), physical activity (male: R = −0.50, P < 0.001; female: R = −0.55, P < 0.001), and mean temperature (R = −0.62, P < 0.001) had negative correlation with ASRD. However, cholesterol level (male: R = 0.62, P < 0.001; female: R = 0.39, P < 0.001), body mass index (BMI) (male: R = 0.30, P < 0.001; female R = −0.01, P > 0.05), and alcohol consumption (male: R = 0.46, P < 0.001; female: R = 0.42, P < 0.001) had a positive correlation with ASRM. Besides, standard of living and medical resources positively related to burden of aortic aneurysm. Conclusion In this study, a decreasing trend of aortic aneurysm burden was found globally, especially in advanced regions. Aged men who smoke and women who have hypertension should pay close attention to, particularly in deprived economic groups, and many approaches can be performed to reduce the burden of aortic aneurysms.
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Affiliation(s)
- Zhuo Wang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Yayu You
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhehui Yin
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qinyi Bao
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuxin Lei
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaye Yu
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cuiping Xie
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Feiming Ye
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojie Xie
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Xiaojie Xie
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Jin JL, Zhang HW, Liu HH, Zhu CG, Guo YL, Wu NQ, Xu RX, Dong Q, Li JJ. Lipoprotein(a) and Cardiovascular Outcomes in Patients With Coronary Artery Disease and Different Metabolic Phenotypes. Front Cardiovasc Med 2022; 9:870341. [PMID: 35669468 PMCID: PMC9163309 DOI: 10.3389/fcvm.2022.870341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background The positive relationship between metabolic healthy obesity (MHO) and cardiovascular risk has been under debate in recent years. Previously, strong evidence supported the causal role of increased plasma lipoprotein(a) [Lp(a)] levels in cardiovascular disease (CVD). The current study aimed to investigate the different associations of Lp(a) and cardiovascular events (CVEs) in patients with coronary artery disease (CAD) and different metabolic phenotypes. Methods A total of 5,089 patients who were angiography-proven CAD were consecutively included and followed up for CVEs. Obesity was defined as a body mass index (BMI) ≥25 kg/m2 according to Asia-specific BMI criteria. Patients were divided into four groups according to metabolic phenotypes, namely metabolically healthy/unhealthy non-obese and metabolically healthy/unhealthy obese [metabolically healthy non-obese (MHN), MHO, metabolically unhealthy non-obese (MUN), and metabolically unhealthy obesity (MUO)]. Comparisons of CAD severity and outcomes were performed among four groups. Cox regression analyses and cubic spline models were used to examine the relationship between Lp(a) and CVEs in patients with different metabolic phenotypes. Results During a median of 7.5 years’ follow-up, 540 (10.6%) CVEs occurred. MUN and MUO populations had more severe coronary stenosis than MHN ones, while no significant difference in the Gensini score (GS) was observed between MHN and MHO. Patients with MUN and MUO presented a higher risk of CVEs than patients with MHN (hazard ratio [HR]: 1.414, 95% CI: 1.024–1.953–1.556 and HR: 1.747, 95% CI: 1.295–1.363, p < 0.05). In subgroup analysis, restricted cubic spline models showed that there was no association between Lp(a) and CVEs in patients in MHN and MHO, while the MUN and MUO groups presented increasing associations between Lp(a) and CVEs and such association was stronger in the MUO group. In Cox regression analysis, Lp(a) >50 mg/dl was associated with a 2.032- and 2.206-fold higher risk of subsequent CVEs in the MUO and MUN subgroups, respectively. Conclusion Among patients with angiography-proven stable CAD, Lp(a) had a more significant prognostic value in both MUO and MUN individuals regardless of obesity, suggesting the importance of screening for cardiovascular risk with Lp(a) in metabolically unhealthy patients.
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Affiliation(s)
- Jing-Lu Jin
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- Department of Endocrinology, Genetics, and Metabolism, Beijing Children’s Hospital, National Center for Children’s Health, Capital Medical University, Beijing, China
| | - Hui-Wen Zhang
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Rui-Xia Xu
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qian Dong
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- Key Laboratory of Cardiovascular Disease, Cardiometabolic Center, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- *Correspondence: Jian-Jun Li, ;
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Seo DH, Cho Y, Seo S, Ahn SH, Hong S, Ha KH, Shim JS, Kim HC, Kim DJ, Kim SH. Association between Metabolically Healthy Obesity and Subclinical Atherosclerosis in the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) Cohort. J Clin Med 2022; 11:jcm11092440. [PMID: 35566567 PMCID: PMC9103721 DOI: 10.3390/jcm11092440] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/19/2022] [Accepted: 04/23/2022] [Indexed: 11/18/2022] Open
Abstract
We aimed to investigate the association between a new definition of metabolic health (MH) and subclinical atherosclerosis in a cohort of patients without previous cardiovascular disease (CVD). In total, 7824 community-dwelling adults were categorized as normal weight, overweight, or obese. Metabolically healthy obesity (MHO) was defined as obesity accompanied by all of the following criteria: systolic blood pressure (BP) < 130 mmHg, no use of BP-lowering medication, waist-hip ratio <0.832 (women) and <0.887 (men), and no prevalent diabetes. Carotid atherosclerosis was defined as carotid plaque or mean carotid intima-media thickness ≥ 1.1 mm. The prevalence of carotid atherosclerosis was 8.3% and 1113 (14.2%) patients were classified as having MHO. All individuals classified as metabolically unhealthy were at an increased risk of carotid atherosclerosis independent of body mass index categories. Conversely, the risk of carotid atherosclerosis in individuals with MHO was not significantly increased compared to that in metabolically healthy normal weight participants (hazard ratio 1.20, 95% confidence interval 0.87−1.67). This new definition of MH was able to identify people with MHO without an increased risk of CVD in an Asian community cohort.
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Affiliation(s)
- Da Hea Seo
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
| | - Yongin Cho
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
| | - Seongha Seo
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
| | - Seong Hee Ahn
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
| | - Seongbin Hong
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
| | - Kyung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon 16499, Korea;
| | - Jee-Seon Shim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (J.-S.S.); (H.C.K.)
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (J.-S.S.); (H.C.K.)
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon 16499, Korea;
- Correspondence: (D.J.K.); (S.H.K.)
| | - So Hun Kim
- Department of Endocrinology and Metabolism, Inha University College of Medicine, Incheon 22212, Korea; (D.H.S.); (Y.C.); (S.S.); (S.H.A.); (S.H.)
- Correspondence: (D.J.K.); (S.H.K.)
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The Shades of Grey in Adipose Tissue Reprogramming. Biosci Rep 2022; 42:230844. [PMID: 35211733 PMCID: PMC8905306 DOI: 10.1042/bsr20212358] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/22/2022] [Accepted: 02/24/2022] [Indexed: 11/22/2022] Open
Abstract
The adipose tissue (AT) has a major role in contributing to obesity-related pathologies through regulating systemic immunometabolism. The pathogenicity of the AT is underpinned by its remarkable plasticity to be reprogrammed during obesity, in the perspectives of tissue morphology, extracellular matrix (ECM) composition, angiogenesis, immunometabolic homoeostasis and circadian rhythmicity. Dysregulation in these features escalates the pathogenesis conferred by this endometabolic organ. Intriguingly, the potential to be reprogrammed appears to be an Achilles’ heel of the obese AT that can be targeted for the management of obesity and its associated comorbidities. Here, we provide an overview of the reprogramming processes of white AT (WAT), with a focus on their dynamics and pleiotropic actions over local and systemic homoeostases, followed by a discussion of potential strategies favouring therapeutic reprogramming. The potential involvement of AT remodelling in the pathogenesis of COVID-19 is also discussed.
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Affiliation(s)
- Daniel J Cuthbertson
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK.
- University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
- University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
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Li D, Yang S, Xing Y, Pan L, Zhao R, Zhao Y, Liu L, Wu M. Novel Insights and Current Evidence for Mechanisms of Atherosclerosis: Mitochondrial Dynamics as a Potential Therapeutic Target. Front Cell Dev Biol 2021; 9:673839. [PMID: 34307357 PMCID: PMC8293691 DOI: 10.3389/fcell.2021.673839] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/16/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular disease (CVD) is the main cause of death worldwide. Atherosclerosis is the underlying pathological basis of CVD. Mitochondrial homeostasis is maintained through the dynamic processes of fusion and fission. Mitochondria are involved in many cellular processes, such as steroid biosynthesis, calcium homeostasis, immune cell activation, redox signaling, apoptosis, and inflammation, among others. Under stress conditions, mitochondrial dynamics, mitochondrial cristae remodeling, and mitochondrial ROS (mitoROS) production increase, mitochondrial membrane potential (MMP) decreases, calcium homeostasis is imbalanced, and mitochondrial permeability transition pore open (mPTP) and release of mitochondrial DNA (mtDNA) are activated. mtDNA recognized by TLR9 can lead to NF-κB pathway activation and pro-inflammatory factor expression. At the same time, TLR9 can also activate NLRP3 inflammasomes and release interleukin, an event that eventually leads to tissue damage and inflammatory responses. In addition, mitochondrial dysfunction may amplify the activation of NLRP3 through the production of mitochondrial ROS, which together aggravate accumulating mitochondrial damage. In addition, mtDNA defects or gene mutation can lead to mitochondrial oxidative stress. Finally, obesity, diabetes, hypertension and aging are risk factors for the progression of CVD, which are closely related to mitochondrial dynamics. Mitochondrial dynamics may represent a new target in the treatment of atherosclerosis. Antioxidants, mitochondrial inhibitors, and various new therapies to correct mitochondrial dysfunction represent a few directions for future research on therapeutic intervention and amelioration of atherosclerosis.
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Affiliation(s)
- Dan Li
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shengjie Yang
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yanwei Xing
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Limin Pan
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ran Zhao
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yixi Zhao
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Longtao Liu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Min Wu
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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