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Zhu T, Tian Y, Wang J, Wu Z, Xie W, Liu H, Li X, Tao L, Guo X. The Relationship between Visceral Fat Accumulation and Risk of Cardiometabolic Multimorbidity: The Roles of Accelerated Biological Aging. Nutrients 2025; 17:1397. [PMID: 40284259 PMCID: PMC12030224 DOI: 10.3390/nu17081397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2025] [Revised: 04/12/2025] [Accepted: 04/17/2025] [Indexed: 04/29/2025] Open
Abstract
OBJECTIVES To investigate the association between visceral fat accumulation and the risk of cardiometabolic multimorbidity (CMM) and the potential roles of accelerated biological aging in this relationship. METHODS Using data from the UK Biobank, a nationwide cohort study was conducted using the available baseline body roundness index (BRI) measurement. Biological aging was assessed using the Klemera-Doubal method for biological age and the phenotypic age algorithms. The association between the BRI and CMM was estimated using the Cox proportional hazards regression model, while the roles of biological aging were examined through interaction and mediation analyses. RESULTS During a median follow-up of 14.52 years, 6156 cases of CMM were identified. A significant association was observed between the BRI and CMM. The hazard ratio (HR) for CMM was 3.72 (95% confidence interval [CI]: 3.35-4.13) for individuals in the highest quartile compared with those in the lowest quartile of the BRI. More importantly, the BRI (AUC, 0.701; 95% CI, 0.694-0.707) demonstrated superior predictive performance relative to body mass index (AUC, 0.657; 95% CI, 0.650-0.664). Furthermore, the BRI exhibited additive interactions with accelerated biological aging on the risk of CMM, and accelerated biological aging partially mediated the association between the BRI and CMM. CONCLUSIONS These findings provide evidence for the application of the BRI as a novel and readily accessible screening tool associated with CMM, suggesting that the effective management of visceral fat and biological aging deceleration may hold promise for reducing CMM risk.
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Affiliation(s)
- Tianyu Zhu
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Yixing Tian
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Jinqi Wang
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Zhiyuan Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Wenhan Xie
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Haotian Liu
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC 3086, Australia
| | - Lixin Tao
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
| | - Xiuhua Guo
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
- Department of Epidemiology and Health Statistics, School of the Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen Street, Beijing 100069, China
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Kelly RK, Harris K, Muntner P, Woodward M. Variations in sex differences in major cardiometabolic risk factors by age and menopause status: results from the UK Biobank. Open Heart 2025; 12:e003182. [PMID: 40032609 DOI: 10.1136/openhrt-2025-003182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Accepted: 02/10/2025] [Indexed: 03/05/2025] Open
Abstract
BACKGROUND Sex differences have not been fully explored for certain risk factors or by age or age-related factors, such as menopause. We addressed this issue in a large population cohort. METHODS UK Biobank participants with ≥1 risk factor measured at baseline were included. We assessed sex differences, by age and menopausal status, in prevalence, treatment and control of cardiometabolic risk factors. RESULTS 501 389 adults (54.4% women, mean age 56.6 (SD 8.1) years) were included. Mean risk factor levels that were lower in women than men include systolic blood pressure (women-to-men difference: -5.6 mm Hg), diastolic blood pressure (-3.4 mm Hg), body mass index (-0.75 kg/m2), waist circumference (-12.2 cm), triglycerides (0.34 mmol/L), glycated haemoglobin (-0.52 mmol/mol) and glucose (-0.08 mmol/L), while high-density lipoprotein cholesterol (+0.31 mmol/L) and C reactive protein (+0.08 mg/L) were higher among women. Total cholesterol and low-density lipoprotein cholesterol (LDL-C) were lower in women than men at younger ages (-0.23 and -0.30 mmol/L, respectively, at <50 years), and higher at older ages (+0.74 and +0.41 mmol/L, at ≥60 years). Total cholesterol and LDL-C were lower in premenopausal women (-0.29 and -0.34 mmol/L, respectively) and higher in postmenopausal women (+0.61 and +0.31 mmol/L), compared with similarly aged men. Prevalence was lower among women than men for current smoking (-3.6%), hypertension (-13.9%), obesity (-1.9%) and diabetes (-2.0%), and sex differences were smaller at older ages and in postmenopausal women. Dyslipidaemia prevalence was lower in women aged <50 years (-8.8%) and premenopausal women (-11.0%), and higher in women aged ≥60 years (+5.4%) and postmenopausal women (+4.6%). Treatment and control of dyslipidaemia were lower in women than men (-12.5% and -12.6%, respectively). CONCLUSIONS Effective public health policy is required to address suboptimal risk factor prevalence, treatment and control in both sexes. Targeted interventions may be warranted to address dyslipidaemia among women at older ages.
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Affiliation(s)
- Rebecca Kathe Kelly
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Katie Harris
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul Muntner
- Department of Epidemiology, The University of Alabama, Birmingham, Alabama, USA
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Imperial College London, The George Institute for Global Health, London, UK
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Chen S, Li J, Man Q, Hu C, Li J, Wang J, Wu S, Xu K, Cui M, Zhang T, Chen X, Suo C, Jiang Y. Changes in Cardiovascular Health, Genetic Risk, and Cardiometabolic Diseases: Evidence From a Large-Scale Cohort Study. J Am Heart Assoc 2025; 14:e035900. [PMID: 39704236 DOI: 10.1161/jaha.124.035900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Accepted: 09/20/2024] [Indexed: 12/21/2024]
Abstract
BACKGROUND Evidence has firmly established the association between superior cardiovascular health (CVH) and reduced susceptibility to cardiometabolic diseases (CMDs). In reality, CVH experiences dynamic fluctuations throughout individuals' lifespans. However, the association between changes in CVH and the impact on CMDs among individuals with different genetic risks remains unclear. METHODS AND RESULTS Based on a large-scale community-based cohort, we evaluated the association between baseline CVH (n=289 069), changes in CVH between 2 examinations (n=37 702), and the risk of CMDs and its individual components (ischemic heart disease, type 2 diabetes, and stroke) using Cox proportional hazards models, leveraging detailed repeatedly assessed lifestyle information and genetic data. Estimations were also stratified by age groups (≤65 years, >65 years) and genetic risk groups, defined by the tertiles of the polygenic risk score for CMDs components. Population-attributable fractions and relative risk reduction were calculated to assess the potential benefits of improvement in CVH in preventing CMDs. For participants whose baseline CVH ranged from ideal to poor, an ascending trend was exhibited in the risk of CMDs overall, as well as its individual components. Based on a median of 5.4-year follow-up after the reassessment of CVH, individuals with an enhancement from intermediate to ideal CVH demonstrated a 36% lower risk of CMDs (hazard ratio [HR], 0.64 [95% CI, 0.53-0.77]; P<0.001), compared with those with constantly intermediate CVH, while those deteriorating from intermediate to poor faced a 44% higher risk (HR, 1.44 [95% CI, 1.17-1.78]; P<0.001). Interestingly, changes in CVH exerted a more pronounced impact on CMD risk within younger populations (≤65 years) (Pinteraction=0.006). Notably, among participants with a high genetic risk of ischemic heart disease, those who improved their CVH status from intermediate to ideal exhibited a 50% lower risk of ischemic heart disease (HR, 0.50 [95% CI, 0.34-0.74]; P<0.001), compared with those with constantly intermediate CVH. CONCLUSIONS Individuals with better baseline CVH exhibited a lower risk of CMDs. Enhancement in CVH significantly mitigates the risk of CMDs, especially when efforts are made before the age of 65 years and within high genetic risk groups. These findings underscore the importance of interventions aimed at promoting cardiovascular well-being across entire populations, offering valuable insights for targeted preventive strategies and healthcare interventions.
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Affiliation(s)
- Shuaizhou Chen
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Jialin Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Qiuhong Man
- Department of Clinical Laboratory, Shanghai Fourth People's Hospital, School of Medicine Tongji University Shanghai China
| | - Chengxin Hu
- Department of Cardiology The First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China
| | - Jinchen Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Jianwei Wang
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Siyu Wu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
- Department of Biostatistics and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health Fudan University Shanghai China
| | - Mei Cui
- Department of Neurology, Huashan Hospital Fudan University Shanghai China
| | - Tiejun Zhang
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
- Yiwu Research Institute of Fudan University Yiwu China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
- Yiwu Research Institute of Fudan University Yiwu China
| | - Chen Suo
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
- Fudan University Taizhou Institute of Health Sciences Taizhou Jiang Su China
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Hernández-Vásquez A, Vargas-Fernández R. Health Inequalities Between Afro-descendants and Non-Afro-descendants in Peru: Evidence from the Demographic and Family Health Survey. J Racial Ethn Health Disparities 2025:10.1007/s40615-024-02265-w. [PMID: 39752072 DOI: 10.1007/s40615-024-02265-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/07/2024] [Accepted: 12/11/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants. METHODS A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022. Twenty indicators related to the health, nutrition, and well-being of the Peruvian Afro-descendant population were included. Individuals identifying as native, as well as those who did not know or did not respond to the ethnicity question, were excluded from the analysis. To assess inequalities in these indicators, the difference in percentages between Afro-descendants and non-Afro-descendants was calculated, and the percentages of these indicators across the tertiles of wealth index and the slope index of inequality (SII) were analysed for each ethnic group. RESULTS Of a total of 16,875 adults and 23,206 women included in the study, 16.9% and 17.3% were of African descent, respectively. Afro-descendant population had a lower proportion of self-reported diabetes (- 1.5 percetange points (pp); 95% confidence interval (CI), - 2.7 to - 0.3); alcohol consumption in the last 30 days (- 4.5 pp; 95% CI, - 7.2 to - 1.8); higher education (- 20.6 pp, 95% CI, - 23.2 to - 18.0); access to improved water (- 3.4 pp; 95% CI, - 4.6 to - 2.1) and sanitation (- 12.1 pp; 95% CI, - 14.2 to - 10.0); cesarean section (- 9.5 pp; 95% CI, - 12.6 to - 6.4); institutional delivery (- 6.3 pp; 95% CI, - 8.4 to - 4.1); early initiation of prenatal care (- 3.3 pp; 95% CI, - 5.8 to - 0.9); birth registration (- 1.8 pp; 95% CI, - 3.4 to - 0.2) and higher proportion of stunting (+ 4.8 pp; 95% CI, 3.0 to 6.6) and adolescent maternity (+ 5.0 pp; 95% CI, 1.4 to 8.6) compared to their non-Afro-descendant counterparts. In addition, a similar wealth gap between Afro-descendant and non-Afro-descendant populations was observed in various indicators. CONCLUSIONS In Peru, some indicators reflect the worse living conditions faced by the Afro-descendant population compared to their non-Afro-descendant counterparts in terms of health, nutrition, and well-being.
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Affiliation(s)
- Akram Hernández-Vásquez
- Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.
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Hetherington K, Thomas J, Nicholls SJ, Barsha G, Bubb KJ. Unique cardiometabolic factors in women that contribute to modified cardiovascular disease risk. Eur J Pharmacol 2024; 984:177031. [PMID: 39369878 DOI: 10.1016/j.ejphar.2024.177031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 10/03/2024] [Accepted: 10/03/2024] [Indexed: 10/08/2024]
Abstract
Major risk factors of cardiovascular disease (CVD) include hypertension, obesity, diabetes mellitus and metabolic syndrome; all of which are considered inflammatory conditions. Women are disproportionately affected by inflammatory conditions, with sex differences emerging as early as adolescence. Hormonal fluctuations associated with reproductive events such as menarche, pregnancy and menopause, are hypothesized to promote a pro-inflammatory state in women. Moreover, women who have experienced inflammatory-type conditions such as polycystic ovarian syndrome (PCOS), gestational diabetes or pre-eclampsia, have a cardiometabolic phenotype that pre-disposes to increased risk of myocardial infarction, stroke and coronary heart disease. Women with no notable CVD risk factors are often relatively protected from CVD pre-menopause; but overtake men in risk of major cardiovascular events when the cardiovascular protective effects of oestrogen begin to wane. Sex differences and female-specific factors have long been considered challenging to study and this has led to an underrepresentation of females in clinical trials and lack of female-specific data from pre-clinical studies. However, there is now a clear prerogative to include females at all stages of research, despite inherent complexities and potential variability in data. This review explores recent advancements in our understanding of CVD in women. We summarise the underlying factors unique to women that can promote CVD risk factors, ultimately contributing to CVD burden and the emerging therapies aimed to combat this.
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Affiliation(s)
- Kara Hetherington
- Biomedicine Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, 3800, Australia; Victorian Heart Institute, Victorian Heart Hospital, Clayton, Victoria, 3168, Australia
| | - Jordyn Thomas
- Biomedicine Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, 3800, Australia; Victorian Heart Institute, Victorian Heart Hospital, Clayton, Victoria, 3168, Australia
| | - Stephen J Nicholls
- Victorian Heart Institute, Victorian Heart Hospital, Clayton, Victoria, 3168, Australia
| | - Giannie Barsha
- Biomedicine Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, 3800, Australia; Victorian Heart Institute, Victorian Heart Hospital, Clayton, Victoria, 3168, Australia
| | - Kristen J Bubb
- Biomedicine Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, 3800, Australia; Victorian Heart Institute, Victorian Heart Hospital, Clayton, Victoria, 3168, Australia.
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6
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Tsaban G, Vitola B. Lipid-lowering therapy after myocardial infarction: strike early, strong, and equally in women and men. Eur J Prev Cardiol 2024; 31:1861-1862. [PMID: 39340417 DOI: 10.1093/eurjpc/zwae319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 09/25/2024] [Accepted: 09/27/2024] [Indexed: 09/30/2024]
Affiliation(s)
- Gal Tsaban
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva, Israel
| | - Barbara Vitola
- Latvian Centre of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, Riga Stradins University, LV-1007 Riga, Latvia
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Yang J, Zhao ML, Jiang LH, Zhang YW, Ma TT, Lou CR, Lu WF, Zhao Y, Lu Q. Association between single and multiple cardiometabolic diseases and all-cause mortality among Chinese older adults: A prospective, nationwide cohort study. Nutr Metab Cardiovasc Dis 2024; 34:2570-2578. [PMID: 39098378 DOI: 10.1016/j.numecd.2024.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/13/2024] [Accepted: 06/21/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND AND AIM Cardiometabolic diseases (CMDs) are leading causes of death and disability, but little is known about the additive mortality effects of multiple CMDs. This study aimed to examine the association between single and multiple CMDs and all-cause mortality among older Chinese population. METHODS AND RESULTS Using the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database, we analyzed data from 2008 to 2018 to assess the relationship between CMDs and mortality. Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for single and multiple CMDs. At baseline, 11,351 participants (56.9% female) aged 60 years or older were included. 11.91% of participants had a single CMD, 1.51% had two CMDs, and 0.22% had three CMDs. Over a decade follow-up, 8992 deaths (79.2%) were recorded. A dose-response relationship was observed, with the mortality risk increasing by 17% for each additional disease. The fully-adjusted HRs for all-cause mortality were 1.16, 1.36, and 2.03 for one, two, and three CMDs, respectively. Larger effects of single and multiple CMDs were observed in the male group (P = 0.015) and the younger senior group (P < 0.001). CONCLUSIONS This large-scale study found that CMDs multiply mortality risks, especially in younger seniors and males. The risk is highest when heart disease and stroke coexist, and diabetes further increases it. Public health efforts should prioritize evidence-based management and prevention of CMDs.
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Affiliation(s)
- Jin Yang
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China
| | - Mei-Li Zhao
- Neurology Department, The Second Hospital of Tianjin Medical University, 300211, Tianjin, China
| | - Li-Hong Jiang
- Neurology Department, Tianjin Huanhu Hospital, Tianjin, 300350, China
| | - Yan-Wen Zhang
- Cardiology Department, Tianjin Medical University General Hospital, Tianjin, 300070, China
| | - Ting-Ting Ma
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China
| | - Chun-Rui Lou
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China
| | - Wen-Feng Lu
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China
| | - Yue Zhao
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China; Joint Research Centre for Primary Health Care, The Hong Kong Polytechnic University, Hong Kong, 100872, China.
| | - Qi Lu
- School of Nursing, Tianjin Medical University, Tianjin, 300070, China.
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He Y, Jia Y, Li Y, Wan Z, Lei Y, Liao X, Zhao Q, Li D. Accelerated biological aging: unveiling the path to cardiometabolic multimorbidity, dementia, and mortality. Front Public Health 2024; 12:1423016. [PMID: 39540094 PMCID: PMC11559589 DOI: 10.3389/fpubh.2024.1423016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 10/22/2024] [Indexed: 11/16/2024] Open
Abstract
Background Cardiometabolic multimorbidity (CMM) and aging are increasing public health concerns. This prospective study used UK Biobank cohort to investigate the relationship between biological aging and the trajectory of CMM to dementia and mortality. Methods CMM is the coexistence of at least two cardiometabolic diseases (CMD), including stroke, ischemic heart disease, and diabetes. Biological age was calculated using the KDM-BA and PhenoAge algorithms. Accelerated aging indicated biological age advances more rapidly than chronological age. Results The study included 415,147 individuals with an average age of 56.5 years. During the average 11-year follow-up period, CMD-free individuals with accelerated aging had a significantly greater risk of CMD (KDM-BA, HR 1.456; PhenoAge, HR 1.404), CMM (KDM-BA, HR 1.952; PhenoAge, HR 1.738), dementia (KDM-BA, HR 1.243; PhenoAge, HR 1.212), and mortality (KDM-BA, HR 1.821; PhenoAge, HR 2.047) in fully-adjusted Cox regression models (p < 0.05 for all). Accelerated aging had adjusted HRs of 1.489 (KDM-BA) and 1.488 (PhenoAge) for CMM, 1.434 (KDM-BA) and 1.514 (PhenoAge) for dementia, and 1.943 (KDM-BA) and 2.239 (PhenoAge) for mortality in participants with CMD at baseline (p < 0.05 for all). CMM significantly mediated accelerated aging's indirect effects on dementia by 13.7% (KDM-BA, HR) and 21.6% (PhenoAge); those on mortality were 4.7% (KDM-BA) and 5.2% (PhenoAge). The population attributable-risk of Life's Essential 8 score (≥80 vs. <80) were 0.79 and 0.43 for KDM-BA and PhenoAge accelerated aging, respectively. Conclusion Biological aging involves the entire trajectory of CMM from a CMD-free state to CMD, to CMM, and ultimately to dementia and death. Life's Essential 8 may be a potential target to counter age acceleration.
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Affiliation(s)
- Yi He
- Department of Neurology, Chengdu Seventh People’s Hospital, Chengdu, China
| | - Yu Jia
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yizhou Li
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, National Center of Stomatology, West China School of Stomatology, Sichuan University, Chengdu, China
| | - Zhi Wan
- Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi Lei
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyang Liao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Zhao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Dongze Li
- Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Ference BA, Braunwald E, Catapano AL. The LDL cumulative exposure hypothesis: evidence and practical applications. Nat Rev Cardiol 2024; 21:701-716. [PMID: 38969749 DOI: 10.1038/s41569-024-01039-5] [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] [Accepted: 05/02/2024] [Indexed: 07/07/2024]
Abstract
The trapping of LDL and other apolipoprotein B-containing lipoproteins within the artery wall causes atherosclerosis. As more LDL becomes trapped within the artery wall over time, the atherosclerotic plaque burden gradually increases, raising the risk of an acute cardiovascular event. Therefore, the biological effect of LDL on the risk of atherosclerotic cardiovascular disease (ASCVD) depends on both the magnitude and duration of exposure. Maintaining low levels of LDL-cholesterol (LDL-C) over time decreases the number of LDL particles trapped within the artery wall, slows the progression of atherosclerosis and, by delaying the age at which mature atherosclerotic plaques develop, substantially reduces the lifetime risk of ASCVD events. Summing LDL-C measurements over time to calculate cumulative exposure to LDL generates a unique biomarker that captures both the magnitude and duration of exposure, which facilitates the estimation of the absolute risk of having an acute cardiovascular event at any point in time. Titrating LDL-C lowering to keep cumulative exposure to LDL below the threshold at which acute cardiovascular events occur can effectively prevent ASCVD. In this Review, we provide the first comprehensive overview of how the LDL cumulative exposure hypothesis can guide the prevention of ASCVD. We also discuss the benefits of maintaining lower LDL-C levels over time and how this knowledge can be used to inform clinical practice guidelines as well as to design novel primary prevention trials and ASCVD prevention programmes.
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Affiliation(s)
- Brian A Ference
- DeepCausalAI Institute for Clinical Translation, Cambridge, UK.
| | - Eugene Braunwald
- TIMI Study Group, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milano, Milan, Italy.
- Multimedica IRCCS, Milan, Italy.
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Al-Hassany L, MaassenVanDenBrink A, Kurth T. Cardiovascular Risk Scores and Migraine Status. JAMA Netw Open 2024; 7:e2440577. [PMID: 39436645 PMCID: PMC11581481 DOI: 10.1001/jamanetworkopen.2024.40577] [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: 05/20/2024] [Accepted: 08/28/2024] [Indexed: 10/23/2024] Open
Abstract
Importance A previous cohort study in the US found that women with higher cardiovascular risk were more likely to have a history of migraine but less likely to have active migraine. Extrapolating these results to men and European individuals is crucial to understanding the complex association between migraine activity status and vascular health in other populations. Objective To evaluate the association pattern between a cardiovascular risk score, the most recent European version of the Systematic Coronary Risk Evaluation 2 (SCORE2) risk estimation system, and migraine activity status in Dutch men and women. Design, Setting, and Participants The prospective population-based Lifelines cohort consists of community-dwelling adults residing in the northern part of the Netherlands. Individuals with a terminal illness, incapacitated individuals, including those with a severe mental illness, or who were unable to visit their general practitioner or complete the questionnaires were excluded from participation within Lifelines. Participants whose data on the cardiovascular risk scores and migraine status were complete were included in the analysis. Data on baseline characteristics were collected between November 1, 2006, to December 31, 2014. Cross-sectional and follow-up analyses were conducted within the prospective cohort. Questionnaires were sent approximately every 1.5 to 2.5 years, and the last self-reported migraine assessment took place between October 1, 2019, and January 31, 2021. Data were analyzed from March 1, 2022, to August 16, 2024. Exposures The SCORE2 is a sex-specific European cardiovascular risk score that includes age, cholesterol levels, smoking status, diabetes, and systolic blood pressure. Main Outcomes and Measures The primary outcome was the association pattern between cardiovascular risk scores and migraine activity status. SCORE2 risk scores were measured once at baseline; groups of the SCORE2 (<1.0%, 1.0% to <2.5%, 2.5% to <5.0%, 5.0% to <7.5%, 7.5% to <10.0%, and ≥10.0%) were created based on the sum of points of individual risk factors. Migraine activity status was assessed using self-reported questionnaires and classified as (1) prevalent (ie, migraine at baseline), (2) incident (ie, no migraine at baseline but migraine in ≥1 follow-up), and (3) none. To evaluate the influence of age, we conducted stratified analyses of the SCORE2 by age categories (<40, 40-49, and ≥50 years). Results The total study population consisted of 140 915 individuals at baseline with a mean (SD) age of 44.4 (12.7) years, of whom 58.5% were women. In total, 25 915 individuals (18.4% of the total population) had prevalent migraine and 2224 (1.9% of the 115 000 without prevalent migraine) had incident migraine. The odds of having prevalent and incident migraine, compared with individuals with a SCORE2 category of less than 1.0%, varied and decreased with increasing SCORE2 categories, with odds ratios (ORs) for prevalent migraine ranging from 0.93 (95% CI, 0.90-0.96) for a SCORE2 category of 1.0% to less than 2.5% to 0.43 (95% CI, 0.39-0.48) for a SCORE2 category of at least 10.0% and, for incident migraine, from 0.63 (95% CI, 0.57-0.69) for a SCORE2 category of 1.0% to less than 2.5% to 0.17 (95% CI, 0.10-0.27) for a SCORE2 category of at least 10.0%. A similar pattern was observed in both sexes but more profound in women. In women, ORs for prevalent migraine ranged from 1.21 (95% CI, 1.16-1.25) to 0.70 (95% CI, 0.58-0.83) (vs 1.19 [95% CI, 1.09-1.29] to 0.84 [95% CI, 0.72-0.99] in men) and, for incident migraine, 0.72 (95% CI, 0.64-0.80) to 0.20 (95% CI, 0.07-0.43) (vs 1.18 [95% CI, 0.92-1.52] to 0.44 [95% CI, 0.22-0.78] in men). Models with incident migraine as the outcome showed lower ORs across the ascending cardiovascular risk score categories. Age stratification suggested that the association between cardiovascular risk scores and migraine activity status were unlikely to be strongly influenced by age. Conclusions and Relevance In this cohort study of community-dwelling Dutch adults, the odds of having prevalent or incident migraine decreased with increasing cardiovascular risk score categories. These results support the hypothesis that a relatively healthy cardiovascular system increases the probability of having active or developing migraine in the future, especially among women. Sex differences might play a pathophysiological role in the association between migraine activity and vascular health.
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Affiliation(s)
- Linda Al-Hassany
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Antoinette MaassenVanDenBrink
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tobias Kurth
- Institute of Public Health, Charité–Universitätsmedizin Berlin, Berlin, Germany
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11
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Jia X, Lin H, Zheng R, Wang S, Ding Y, Hu C, Li M, Xu Y, Xu M, Wang G, Chen L, Zeng T, Hu R, Ye Z, Shi L, Su Q, Chen Y, Yu X, Yan L, Wang T, Zhao Z, Qin G, Wan Q, Chen G, Dai M, Zhang D, Qiu B, Zhu X, Zheng J, Tang X, Gao Z, Shen F, Gu X, Luo Z, Qin Y, Chen L, Hou X, Huo Y, Li Q, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Mu Y, Lai S, Li D, Hu W, Ning G, Wang W, Bi Y, Lu J. Exploring age and gender disparities in cardiometabolic phenotypes and lipidomic signatures among Chinese adults: a nationwide cohort study. LIFE METABOLISM 2024; 3:loae032. [PMID: 39872143 PMCID: PMC11749084 DOI: 10.1093/lifemeta/loae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 07/24/2024] [Accepted: 07/30/2024] [Indexed: 01/03/2025]
Abstract
Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China. Substantial sex disparities in the prevalence of metabolic diseases were observed across different age strata, particularly for dyslipidemia and its components. Generalized additive models were employed to characterize phenotype features, elucidating how gender differences evolve with advancing age. Half of the 16 phenotypes consistently exhibited no sex differences, while four (high-density lipoprotein [HDL] cholesterol, apolipoprotein A1, diastolic blood pressure, and fasting insulin) displayed significant sex differences across all age groups. Triglycerides, apolipoprotein B, non-HDL cholesterol, and total cholesterol demonstrated significant age-dependent sex disparities. Notably, premenopausal females exhibited significant age-related differences in lipid levels around the age of 40-50 years, contrasting with the relatively stable associations observed in males and postmenopausal females. Menopause played an important but not sole role in age-related sex differences in blood lipids. Sleep duration also had an age- and sex-dependent impact on lipids. Lipidomic analysis and K-means clustering further revealed that 58.6% of the 263 measured lipids varied with sex and age, with sphingomyelins, cholesteryl esters, and triacylglycerols being the most profoundly influenced lipid species by the combined effects of age, sex, and their interaction. These findings underscore the importance of age consideration when addressing gender disparities in metabolic diseases and advocate for personalized, age-specific prevention and management.
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Affiliation(s)
- Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, 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 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, 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 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yilan Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Guixia Wang
- Department of Endocrine and Metabolic Diseases, The First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Lulu Chen
- Department of Endocrine and Metabolic Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Tianshu Zeng
- Department of Endocrine and Metabolic Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Lixin Shi
- Department of Endocrine and Metabolic Diseases, Affiliated Hospital of Guiyang Medical College, Guiyang, Guizhou 550004, China
| | - Qing Su
- Department of Endocrine and Metabolic Diseases, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xuefeng Yu
- Department of Endocrine and Metabolic Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Li Yan
- Department of Endocrine and Metabolic Diseases, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510120, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Guijun Qin
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Qin Wan
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Gang Chen
- Department of Endocrine and Metabolic Diseases, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, Fujian 350003, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Bihan Qiu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiaoyan Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xulei Tang
- Department of Endocrine and Metabolic Diseases, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Zhengnan Gao
- Department of Endocrine and Metabolic Diseases, Dalian Municipal Central Hospital, Dalian, Liaoning 116033, China
| | - Feixia Shen
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Xuejiang Gu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Zuojie Luo
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Yingfen Qin
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Li Chen
- Department of Endocrine and Metabolic Diseases, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China
| | - Xinguo Hou
- Department of Endocrine and Metabolic Diseases, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China
| | - Yanan Huo
- Department of Endocrine and Metabolic Diseases, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi 330006, China
| | - Qiang Li
- Department of Endocrine and Metabolic Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150086, China
| | - Yinfei Zhang
- Department of Endocrine and Metabolic Diseases, Central Hospital of Shanghai Jiading District, Shanghai 201800, China
| | - Chao Liu
- Department of Endocrine and Metabolic Diseases, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, Jiangsu 210028, China
| | - Youmin Wang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Shengli Wu
- Department of Endocrine and Metabolic Diseases, Karamay Municipal People’s Hospital, Karamay, Xinjiang 834000, China
| | - Tao Yang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Huacong Deng
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiajun Zhao
- Department of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, China
| | - Yiming Mu
- Department of Endocrine and Metabolic Diseases, Chinese People’s Liberation Army General Hospital, Beijing 100853, China
| | - Shenghan Lai
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, United States
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Weiguo Hu
- Department of Geriatrics, Medical Center on Aging, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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12
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Grilo LF, Zimmerman KD, Puppala S, Chan J, Huber HF, Li G, Jadhav AYL, Wang B, Li C, Clarke GD, Register TC, Oliveira PJ, Nathanielsz PW, Olivier M, Pereira SP, Cox LA. Cardiac Molecular Analysis Reveals Aging-Associated Metabolic Alterations Promoting Glycosaminoglycans Accumulation via Hexosamine Biosynthetic Pathway. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309211. [PMID: 39119859 PMCID: PMC11481188 DOI: 10.1002/advs.202309211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 07/17/2024] [Indexed: 08/10/2024]
Abstract
Age is a prominent risk factor for cardiometabolic disease, often leading to heart structural and functional changes. However, precise molecular mechanisms underlying cardiac remodeling and dysfunction exclusively resulting from physiological aging remain elusive. Previous research demonstrated age-related functional alterations in baboons, analogous to humans. The goal of this study is to identify early cardiac molecular alterations preceding functional adaptations, shedding light on the regulation of age-associated changes. Unbiased transcriptomics of left ventricle samples are performed from female baboons aged 7.5-22.1 years (human equivalent ≈30-88 years). Weighted-gene correlation network and pathway enrichment analyses are performed, with histological validation. Modules of transcripts negatively correlated with age implicated declined metabolism-oxidative phosphorylation, tricarboxylic acid cycle, glycolysis, and fatty-acid β-oxidation. Transcripts positively correlated with age suggested a metabolic shift toward glucose-dependent anabolic pathways, including hexosamine biosynthetic pathway (HBP). This shift is associated with increased glycosaminoglycan synthesis, modification, precursor synthesis via HBP, and extracellular matrix accumulation, verified histologically. Upregulated extracellular matrix-induced signaling coincided with glycosaminoglycan accumulation, followed by cardiac hypertrophy-related pathways. Overall, these findings revealed a transcriptional shift in metabolism favoring glycosaminoglycan accumulation through HBP before cardiac hypertrophy. Unveiling this metabolic shift provides potential targets for age-related cardiac diseases, offering novel insights into early age-related mechanisms.
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Affiliation(s)
- Luís F. Grilo
- CNC‐UCCenter for Neuroscience and Cell BiologyUniversity of CoimbraCoimbra3060Portugal
- CIBBCenter for Innovative Biomedicine and BiotechnologyUniversity of CoimbraCoimbra3060Portugal
- Institute for Interdisciplinary ResearchPDBEB – Doctoral Programme in Experimental Biology and BiomedicineUniversity of CoimbraCoimbra3060Portugal
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
| | - Kip D. Zimmerman
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Molecular MedicineDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC27157USA
| | - Sobha Puppala
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Molecular MedicineDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC27157USA
| | - Jeannie Chan
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Molecular MedicineDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC27157USA
| | - Hillary F. Huber
- Southwest National Primate Research CenterTexas Biomedical Research InstituteSan AntonioTX78245USA
| | - Ge Li
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
| | - Avinash Y. L. Jadhav
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
| | - Benlian Wang
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
| | - Cun Li
- Texas Pregnancy & Life‐Course Health Research CenterDepartment of Animal ScienceUniversity of WyomingLaramieWY82071USA
| | - Geoffrey D. Clarke
- Department of RadiologyUniversity of Texas Health Science CenterSan AntonioTX78229USA
| | - Thomas C. Register
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC27157USA
| | - Paulo J. Oliveira
- CNC‐UCCenter for Neuroscience and Cell BiologyUniversity of CoimbraCoimbra3060Portugal
- CIBBCenter for Innovative Biomedicine and BiotechnologyUniversity of CoimbraCoimbra3060Portugal
| | - Peter W. Nathanielsz
- Texas Pregnancy & Life‐Course Health Research CenterDepartment of Animal ScienceUniversity of WyomingLaramieWY82071USA
| | - Michael Olivier
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Molecular MedicineDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC27157USA
| | - Susana P. Pereira
- CNC‐UCCenter for Neuroscience and Cell BiologyUniversity of CoimbraCoimbra3060Portugal
- CIBBCenter for Innovative Biomedicine and BiotechnologyUniversity of CoimbraCoimbra3060Portugal
- Laboratory of Metabolism and Exercise (LaMetEx)Research Centre in Physical ActivityHealth and Leisure (CIAFEL)Laboratory for Integrative and Translational Research in Population Health (ITR)Faculty of SportsUniversity of PortoPorto4050Portugal
| | - Laura A. Cox
- Center for Precision MedicineWake Forest University Health SciencesWinston‐SalemNC27157USA
- Section on Molecular MedicineDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC27157USA
- Southwest National Primate Research CenterTexas Biomedical Research InstituteSan AntonioTX78245USA
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC27157USA
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13
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Paula DP, Camacho M, Barbosa O, Marques L, Harter Griep R, da Fonseca MJM, Barreto S, Lekadir K. Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts. BMC Public Health 2024; 24:2131. [PMID: 39107721 PMCID: PMC11304673 DOI: 10.1186/s12889-024-19395-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 04/08/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle influences, and metabolic diseases such as diabetes, and hypertension. While the physiological pathways linking metabolic and cardiovascular diseases have been investigated, the study of the sex and population differences in the CMC have still not been described. METHODS We present a machine learning approach to model the CMC and investigate sex and population differences in two distinct cohorts: the UK Biobank (17,700 participants) and the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) (7162 participants). We consider the following CMDs: hypertension (Hyp), diabetes (DM), heart diseases (HD: angina, myocardial infarction, or heart failure), and stroke (STK). For the identification of the CMC patterns, individual trajectories with the time of disease occurrence were clustered using k-means. Based on clinical, sociodemographic, and lifestyle characteristics, we built multiclass random forest classifiers and used the SHAP methodology to evaluate feature importance. RESULTS Five CMC patterns were identified across both sexes and cohorts: EarlyHyp, FirstDM, FirstHD, Healthy, and LateHyp, named according to prevalence and disease occurrence time that depicted around 95%, 78%, 75%, 88% and 99% of individuals, respectively. Within the UK Biobank, more women were classified in the Healthy cluster and more men in all others. In the EarlyHyp and LateHyp clusters, isolated hypertension occurred earlier among women. Smoking habits and education had high importance and clear directionality for both sexes. For ELSA-Brasil, more men were classified in the Healthy cluster and more women in the FirstDM. The diabetes occurrence time when followed by hypertension was lower among women. Education and ethnicity had high importance and clear directionality for women, while for men these features were smoking, alcohol, and coffee consumption. CONCLUSIONS There are clear sex differences in the CMC that varied across the UK and Brazilian cohorts. In particular, disadvantages regarding incidence and the time to onset of diseases were more pronounced in Brazil, against woman. The results show the need to strengthen public health policies to prevent and control the time course of CMD, with an emphasis on women.
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Affiliation(s)
- Daniela Polessa Paula
- National School of Statistical Sciences, Brazilian Institute of Geography and Statistics, Rio de Janeiro, Brazil.
- Institute of Mathematics and Statistics, University of the Rio de Janeiro State, Rio de Janeiro, Brazil.
| | - Marina Camacho
- Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain
| | - Odaleia Barbosa
- Institute of Nutrition, University of the Rio de Janeiro State, Rio de Janeiro, Brazil
| | - Larissa Marques
- Coordination of Information and Communication (CINCO - PEIC), Oswaldo Cruz Foundation, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosane Harter Griep
- Health and Environmental Education Laboratory, Oswaldo Cruz Institute (IOC), Rio de Janeiro, RJ, Brazil
| | | | - Sandhi Barreto
- Postgraduate Program in Public Health, School of Medicine & Clinical Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Karim Lekadir
- Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain
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14
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Maravi JSM, Leszczynski EC, Schwartz CS, Dev PK, Barber JL, Reasons RJ, Pearce RW, McPhaul MJ, Konrad RJ, Robbins JM, Gerszten RE, Collier TS, Bouchard C, Rohatgi A, Sarzynski MA. Associations of an HDL apolipoproteomic index with cardiometabolic risk factors before and after exercise training in the HERITAGE Family Study. Atherosclerosis 2024; 395:117587. [PMID: 38823353 PMCID: PMC11254543 DOI: 10.1016/j.atherosclerosis.2024.117587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND AND AIMS Previous studies have derived and validated an HDL apolipoproteomic score (pCAD) that predicts coronary artery disease (CAD) risk. However, the associations between pCAD and markers of cardiometabolic health in healthy adults are not known, nor are the effects of regular exercise on pCAD. METHODS A total of 641 physically inactive adults free of cardiovascular disease from the HERITAGE Family Study completed 20 weeks of exercise training. The pCAD index (range 0-100) was calculated using measurements of apolipoproteins A-I, C-I, C-II, C-III, and C-IV from ApoA-I-tagged serum (higher index = higher CAD risk). The associations between pCAD index and cardiometabolic traits at baseline and their training responses were assessed with Spearman correlation and general linear models. A Bonferroni correction of p < 8.9 × 10-04 was used to determine statistical significance. RESULTS The mean ± SD baseline pCAD index was 29 ± 32, with 106 (16.5 %) participants classified as high CAD risk. At baseline, pCAD index was positively associated with blood pressure, systemic inflammation, and body composition. HDL size, VO2max, and HDL-C were negatively associated with pCAD index at baseline. Of those classified as high CAD risk at baseline, 52 (49 %) were reclassified as normal risk after training. Following training, pCAD index changes were inversely correlated (p < 1.4 × 10-04) with changes in HDL-C, HDL size, and LDL size. CONCLUSIONS A higher pCAD index was associated with a worse cardiometabolic profile at baseline but improved with regular exercise. The results from this study highlight the potential role of HDL apolipoproteins as therapeutic targets for lifestyle interventions, particularly in high-risk individuals.
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Affiliation(s)
| | | | | | - Prasun K. Dev
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Jacob L. Barber
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
| | - Riley J. Reasons
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Ryan W. Pearce
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Michael J. McPhaul
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Robert J. Konrad
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Jeremy M. Robbins
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Robert E. Gerszten
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Timothy S. Collier
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Anand Rohatgi
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Mark A. Sarzynski
- Department of Exercise Science, University of South Carolina, Columbia, SC
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15
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Croft AJ, Kelly C, Chen D, Haw TJ, Balachandran L, Murtha LA, Boyle AJ, Sverdlov AL, Ngo DTM. Sex-based differences in short- and longer-term diet-induced metabolic heart disease. Am J Physiol Heart Circ Physiol 2024; 326:H1219-H1251. [PMID: 38363215 PMCID: PMC11381029 DOI: 10.1152/ajpheart.00467.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
Sex-based differences in the development of obesity-induced cardiometabolic dysfunction are well documented, however, the specific mechanisms are not completely understood. Obesity has been linked to dysregulation of the epitranscriptome, but the role of N6-methyladenosine (m6A) RNA methylation has not been investigated in relation to the sex differences during obesity-induced cardiac dysfunction. In the current study, male and female C57BL/6J mice were subjected to short- and long-term high-fat/high-sucrose (HFHS) diet to induce obesogenic stress. Cardiac echocardiography showed males developed systolic and diastolic dysfunction after 4 mo of diet, but females maintained normal cardiac function despite both sexes being metabolically dysfunctional. Cardiac m6A machinery gene expression was differentially regulated by duration of HFHS diet in male, but not female mice, and left ventricular ejection fraction correlated with RNA machinery gene levels in a sex- and age-dependent manner. RNA-sequencing of cardiac transcriptome revealed that females, but not males may undergo protective cardiac remodeling early in the course of obesogenic stress. Taken together, our study demonstrates for the first time that cardiac RNA methylation machinery genes are regulated early during obesogenic stress in a sex-dependent manner and may play a role in the sex differences observed in cardiometabolic dysfunction.NEW & NOTEWORTHY Sex differences in obesity-associated cardiomyopathy are well documented but incompletely understood. We show for the first time that RNA methylation machinery genes may be regulated in response to obesogenic diet in a sex- and age-dependent manner and levels may correspond to cardiac systolic function. Our cardiac RNA-seq analysis suggests female, but not male mice may be protected from cardiac dysfunction by a protective cardiac remodeling response early during obesogenic stress.
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Affiliation(s)
- Amanda J Croft
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Conagh Kelly
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
| | - Dongqing Chen
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
| | - Tatt Jhong Haw
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Lohis Balachandran
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Lucy A Murtha
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Andrew J Boyle
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Hunter New England Local Health District, Newcastle, New South Wales, Australia
| | - Aaron L Sverdlov
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Hunter New England Local Health District, Newcastle, New South Wales, Australia
| | - Doan T M Ngo
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
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16
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Kammula AV, Schäffer AA, Rajagopal PS, Kurzrock R, Ruppin E. Outcome differences by sex in oncology clinical trials. Nat Commun 2024; 15:2608. [PMID: 38521835 PMCID: PMC10960820 DOI: 10.1038/s41467-024-46945-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024] Open
Abstract
Identifying sex differences in outcomes and toxicity between males and females in oncology clinical trials is important and has also been mandated by National Institutes of Health policies. Here we analyze the Trialtrove database, finding that, strikingly, only 472/89,221 oncology clinical trials (0.5%) had curated post-treatment sex comparisons. Among 288 trials with comparisons of survival, outcome, or response, 16% report males having statistically significant better survival outcome or response, while 42% reported significantly better survival outcome or response for females. The strongest differences are in trials of EGFR inhibitors in lung cancer and rituximab in non-Hodgkin's lymphoma (both favoring females). Among 44 trials with side effect comparisons, more trials report significantly lesser side effects in males (N = 22) than in females (N = 13). Thus, while statistical comparisons between sexes in oncology trials are rarely reported, important differences in outcome and toxicity exist. These considerable outcome and toxicity differences highlight the need for reporting sex differences more thoroughly going forward.
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Affiliation(s)
- Ashwin V Kammula
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Alejandro A Schäffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
| | - Padma Sheila Rajagopal
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
- Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Razelle Kurzrock
- WIN Consortium and Medical College of Wisconsin, Milwaukee, WI 53226 and University of Nebraska, Omaha, NE, 68198, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
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17
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Gumilang RA, Fan YC, Wu SH, Bai CH. Adiposity indices and their higher predictive value for new-onset hypertension in metabolically healthy young women: findings from a population-based prospective cohort study. BMC Cardiovasc Disord 2024; 24:150. [PMID: 38475731 PMCID: PMC10935983 DOI: 10.1186/s12872-024-03817-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND AND AIMS The present study aimed to investigate the predictive ability of selected adiposity indices, such as body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), and waist-to-height ratio (WHtR), for new-onset hypertension in metabolically healthy Taiwanese adults. The study also sought to establish sex-specific cutoff points for these indices and to analyze the risk of new-onset hypertension, taking into account sex and age. METHODS This prospective cohort study utilized the Taiwan Biobank database to examine metabolically healthy participants aged between 20 and 65 at baseline. Four adiposity indices, namely BMI, WHR, WC, and WHtR, were calculated and used to predict new-onset hypertension over 4 years. Receiver operating characteristics (ROCs) and areas under the curve (AUCs) were used to evaluate the effectiveness of the parameters in predicting new-onset hypertension over 4 years. Sex-specific cutoff points were identified and used to assess the risk of new-onset hypertension. RESULTS This study analyzed 13,375 participants over 4.28 years. The incidence of new-onset hypertension was 17.65%. The new-onset rate of hypertension was 34.39% in men and 65.61% in women. Adiposity indices effectively predict new-onset hypertension, with WHtR having the highest predictive value (i.e., AUC) for both sexes. The classification of participants into low and high categories for each adiposity index was based on sex-specific cutoff points, and the risk of new-onset hypertension was assessed according to sex and age. This study found that high adiposity indices predicted a significantly higher risk of new-onset hypertension in metabolically healthy adults. The risk was equal for both sexes. Young women had a higher risk of new-onset hypertension than middle-aged women when they were further categorized. All risk ratios of the indices in young women were over two-fold and significant. CONCLUSION According to the sex-specific cutoff point, high adiposity indices had a higher predictive value for new-onset hypertension in metabolically healthy Taiwanese young women.
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Affiliation(s)
- Rizki Amalia Gumilang
- International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Faculty of Medicine, Public Health, and Nursing/Academic Hospital, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Yen-Chun Fan
- College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
- Department of Allied Health Education and Digital Learning, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Shang-Hao Wu
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Chyi-Huey Bai
- Department of Public Health, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan.
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18
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Kanuri B, Biswas P, Dahdah A, Murphy AJ, Nagareddy PR. Impact of age and sex on myelopoiesis and inflammation during myocardial infarction. J Mol Cell Cardiol 2024; 187:80-89. [PMID: 38163742 PMCID: PMC10922716 DOI: 10.1016/j.yjmcc.2023.11.011] [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: 05/26/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024]
Abstract
Of all the different risk factors known to cause cardiovascular disease (CVD), age and sex are considered to play a crucial role. Aging follows a continuum from birth to death, and therefore it inevitably acts as a risk for CVD. Along with age, sex differences have also been shown to demonstrate variations in immune system responses to pathological insults. It has been widely perceived that females are protected against myocardial infarction (MI) and the protection is quite apparent in young vs. old women. Acute MI leads to changes in the population of myeloid and lymphoid cells at the injury site with myeloid bias being observed in the initial inflammation and the lymphoid in the late-resolution phases of the pathology. Multiple evidence demonstrates that aging enhances damage to various cellular processes through inflamm-aging, an inflammatory process identified to increase pro-inflammatory markers in circulation and tissues. Following MI, marked changes were observed in different sub-sets of major myeloid cell types viz., neutrophils, monocytes, and macrophages. There is a paucity of information regarding the tissue and site-specific functions of these sub-sets. In this review, we highlight the importance of age and sex as crucial risk factors by discussing their role during MI-induced myelopoiesis while emphasizing the current status of myeloid cell sub-sets. We further put forth the need for designing and executing age and sex interaction studies aimed to determine the appropriate age and sex to develop personalized therapeutic strategies post-MI.
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Affiliation(s)
- Babunageswararao Kanuri
- Department of Internal Medicine, Section of Cardiovascular Diseases, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA
| | - Priosmita Biswas
- Department of Internal Medicine, Section of Cardiovascular Diseases, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA
| | - Albert Dahdah
- Department of Internal Medicine, Section of Cardiovascular Diseases, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, Division of Immunometabolism, Melbourne, Australia
| | - Prabhakara R Nagareddy
- Department of Internal Medicine, Section of Cardiovascular Diseases, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
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19
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Di Sessa A, Passaro AP, Colasante AM, Cioffi S, Guarino S, Umano GR, Papparella A, Miraglia Del Giudice E, Marzuillo P. Kidney damage predictors in children with metabolically healthy and metabolically unhealthy obesity phenotype. Int J Obes (Lond) 2023; 47:1247-1255. [PMID: 37689826 DOI: 10.1038/s41366-023-01379-1] [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: 11/20/2022] [Revised: 08/25/2023] [Accepted: 08/30/2023] [Indexed: 09/11/2023]
Abstract
BACKGROUND Obesity and kidney damage have been closely linked in adults, but little is still known in childhood. OBJECTIVE To identify predictors of kidney damage in children with metabolically healthy (MHO) and metabolically unhealthy (MUO) obesity phenotypes. METHODS We retrospectively examined 396 children with obesity (mean age 10.72 ± 2.71 years, body mass index-standard deviation score, BMI-SDS, 2.23 ± 0.57) stratified according to metabolic phenotypes. Kidney damage was defined as the presence of reduced estimated glomerular filtration rate (eGFR < 90 mL/min/1.73m2) and/or albuminuria (≥ 30 mg/g urinary creatinine). RESULTS Kidney damage was found in 20.9% of the study population. Children with kidney damage had higher BMI-SDS, homeostasis model assessment of insulin resistance (HOMA-IR), and inflammation markers levels and increased prevalence of non-alcoholic fatty liver disease (NAFLD) than those without kidney damage (all p < 0.005). MUO and MHO subjects had respectively an odds ratio (OR) to show kidney damage of of 1.92 (95%CI:1.22-3.01; p = 0.005) and 1.05 (95%CI:1.00-1.09; p = 0.028) after adjustments. Moreover, we found that only HOMA-IR was closely associated to kidney damage in MUO group (OR = 2.07;95%CI:1.20-3.57; p = 0.007), while HOMA-IR (OR = 1.15;95%CI:1.02-1.29; p = 0.011) and uric acid (OR = 1.15;95% CI:1.02-1.30; p = 0.010) were the only significant risk factors for kidney damage in MHO group. CONCLUSION An increased risk of kidney damage has been observed in children with obesity and in particular in those with MUO phenotype. As their role on kidney function, HOMA-IR should be monitored in MUO children and both HOMA-IR and uric acid in MHO children.
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Affiliation(s)
- Anna Di Sessa
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - Antonio Paride Passaro
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alberto Maria Colasante
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Stefano Guarino
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giuseppina Rosaria Umano
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alfonso Papparella
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Emanuele Miraglia Del Giudice
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Pierluigi Marzuillo
- Department of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy
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20
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Abdellatif M, Rainer PP, Sedej S, Kroemer G. Hallmarks of cardiovascular ageing. Nat Rev Cardiol 2023; 20:754-777. [PMID: 37193857 DOI: 10.1038/s41569-023-00881-3] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/21/2023] [Indexed: 05/18/2023]
Abstract
Normal circulatory function is a key determinant of disease-free life expectancy (healthspan). Indeed, pathologies affecting the cardiovascular system, which are growing in prevalence, are the leading cause of global morbidity, disability and mortality, whereas the maintenance of cardiovascular health is necessary to promote both organismal healthspan and lifespan. Therefore, cardiovascular ageing might precede or even underlie body-wide, age-related health deterioration. In this Review, we posit that eight molecular hallmarks are common denominators in cardiovascular ageing, namely disabled macroautophagy, loss of proteostasis, genomic instability (in particular, clonal haematopoiesis of indeterminate potential), epigenetic alterations, mitochondrial dysfunction, cell senescence, dysregulated neurohormonal signalling and inflammation. We also propose a hierarchical order that distinguishes primary (upstream) from antagonistic and integrative (downstream) hallmarks of cardiovascular ageing. Finally, we discuss how targeting each of the eight hallmarks might be therapeutically exploited to attenuate residual cardiovascular risk in older individuals.
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Affiliation(s)
- Mahmoud Abdellatif
- Department of Cardiology, Medical University of Graz, Graz, Austria.
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France.
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, Villejuif, France.
- BioTechMed Graz, Graz, Austria.
| | - Peter P Rainer
- Department of Cardiology, Medical University of Graz, Graz, Austria
- BioTechMed Graz, Graz, Austria
| | - Simon Sedej
- Department of Cardiology, Medical University of Graz, Graz, Austria
- BioTechMed Graz, Graz, Austria
- Institute of Physiology, Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Guido Kroemer
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France.
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, Villejuif, France.
- Institut du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
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21
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Wu KY, Wang X, Youngson E, Gouda P, Graham MM. Sex differences in post-operative outcomes following non-cardiac surgery. PLoS One 2023; 18:e0293638. [PMID: 37910570 PMCID: PMC10619824 DOI: 10.1371/journal.pone.0293638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023] Open
Abstract
It is uncertain whether sex is an independent risk factor for poor outcomes after non-cardiac surgery. We examined sex differences in short- and long-term mortality and morbidity in patients undergoing non-cardiac surgery in Alberta, Canada. Using linked administrative databases, we identified patients undergoing one of 45 different non-cardiac surgeries who were hospitalized between 2008 and 2019. Adjusted odds ratios (95% CI) were reported for mortality at 30-days, 6-months, and 1-year stratified by sex. Secondary outcomes including all-cause hospitalization, hospitalization for heart failure (HF), hospitalization for acute coronary syndrome (ACS), hospitalization for infection, hospitalization for stroke, and hospitalization for bleeding were also analyzed. Multivariate logistic regression was adjusted for age, sex, surgery type, the components of the Charlson Comorbidity Index, and the Revised Cardiac Risk Index. We identified 552,224 unique patients who underwent non-cardiac surgery of which 304,408 (55.1%) were female. Male sex was a predictor of mortality at 30-days (aOR 1.25 (1.14, 1.38), p<0.0001), 6-months (aOR 1.26 (1.20, 1.33), p<0.0001), and 1-year (aOR 1.25 (1.20, 1.31), p<0.0001). Similarly, male sex was a predictor of hospital readmission at 30-days (1.12 (1.09, 1.14), p<0.0001), 6-months (aOR 1.11 (1.10, 1.13), p<0.0001), and 1-year (aOR 1.06 (1.04, 1.07), p<0.0001). When the results were stratified by age, the effect of male sex on clinical outcome diminished for age ≥ 65years compared to younger patients. In conclusion, male patients undergoing non-cardiac surgery have higher risks of all-cause mortality and readmission after adjustment for baseline risk factor differences, particularly in those under 65-years-old. The overall incidence of readmission for stroke, bleeding, HF and ACS after non-cardiac surgery was low. The impact of male sex on clinical outcomes decreases with increasing age, suggesting the importance of considering the effect of both sex and age on clinical outcomes after non-cardiac surgery.
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Affiliation(s)
- Kai Yi Wu
- Mazankowski Alberta Heart Institute, Division of Cardiology, University of Alberta, Edmonton, Alberta, Canada
| | - Xiaoming Wang
- Research Facilitation, Alberta Health Services, Edmonton, Alberta, Canada
| | - Erik Youngson
- Research Facilitation, Alberta Health Services, Edmonton, Alberta, Canada
| | - Pishoy Gouda
- Mazankowski Alberta Heart Institute, Division of Cardiology, University of Alberta, Edmonton, Alberta, Canada
| | - Michelle M. Graham
- Mazankowski Alberta Heart Institute, Division of Cardiology, University of Alberta, Edmonton, Alberta, Canada
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22
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Zhang Y, Wang X, Li XK, Lv SJ, Wang HP, Liu Y, Zhou J, Gong H, Chen XF, Ren SC, Zhang H, Dai Y, Cai H, Yan B, Chen HZ, Tang X. Sirtuin 2 deficiency aggravates ageing-induced vascular remodelling in humans and mice. Eur Heart J 2023:ehad381. [PMID: 37377116 PMCID: PMC10393077 DOI: 10.1093/eurheartj/ehad381] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 04/21/2023] [Accepted: 05/09/2023] [Indexed: 06/29/2023] Open
Abstract
AIMS The mechanisms underlying ageing-induced vascular remodelling remain unclear. This study investigates the role and underlying mechanisms of the cytoplasmic deacetylase sirtuin 2 (SIRT2) in ageing-induced vascular remodelling. METHODS AND RESULTS Transcriptome and quantitative real-time PCR data were used to analyse sirtuin expression. Young and old wild-type and Sirt2 knockout mice were used to explore vascular function and pathological remodelling. RNA-seq, histochemical staining, and biochemical assays were used to evaluate the effects of Sirt2 knockout on the vascular transcriptome and pathological remodelling and explore the underlying biochemical mechanisms. Among the sirtuins, SIRT2 had the highest levels in human and mouse aortas. Sirtuin 2 activity was reduced in aged aortas, and loss of SIRT2 accelerated vascular ageing. In old mice, SIRT2 deficiency aggravated ageing-induced arterial stiffness and constriction-relaxation dysfunction, accompanied by aortic remodelling (thickened vascular medial layers, breakage of elastin fibres, collagen deposition, and inflammation). Transcriptome and biochemical analyses revealed that the ageing-controlling protein p66Shc and metabolism of mitochondrial reactive oxygen species (mROS) contributed to SIRT2 function in vascular ageing. Sirtuin 2 repressed p66Shc activation and mROS production by deacetylating p66Shc at lysine 81. Elimination of reactive oxygen species by MnTBAP repressed the SIRT2 deficiency-mediated aggravation of vascular remodelling and dysfunction in angiotensin II-challenged and aged mice. The SIRT2 coexpression module in aortas was reduced with ageing across species and was a significant predictor of age-related aortic diseases in humans. CONCLUSION The deacetylase SIRT2 is a response to ageing that delays vascular ageing, and the cytoplasm-mitochondria axis (SIRT2-p66Shc-mROS) is important for vascular ageing. Therefore, SIRT2 may serve as a potential therapeutic target for vascular rejuvenation.
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Affiliation(s)
- Yang Zhang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xiaoman Wang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xun-Kai Li
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Shuang-Jie Lv
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - He-Ping Wang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Yang Liu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Division of Vascular Surgery, Department of General Surgery, and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Jingyue Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Hui Gong
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Xiao-Feng Chen
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Chengdu, Sichuan 611137, China
| | - Si-Chong Ren
- Department of Nephrology, First Affiliated Hospital of Chengdu Medical College, 783 Xindu Avenue, Chengdu, Sichuan 610500, China
| | - Huina Zhang
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Beijing 10029, China
| | - Yuxiang Dai
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, 180 Fenglin Road, Shanghai 200032, China
| | - Hua Cai
- Division of Molecular Medicine, Department of Anesthesiology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Bo Yan
- Institute of Precision Medicine, Jining Medical University, 133 Hehua Road, Taibaihu New District, Jining, Shandong 272067, China
| | - Hou-Zao Chen
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
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23
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Haș IM, Teleky BE, Vodnar DC, Ștefănescu BE, Tit DM, Nițescu M. Polyphenols and Cardiometabolic Health: Knowledge and Concern among Romanian People. Nutrients 2023; 15:2281. [PMID: 37242164 PMCID: PMC10221773 DOI: 10.3390/nu15102281] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
The cardiometabolic health of the population is a crucial indicator of public health, considering the significant impact of cardiovascular disease (CVD) and diabetes on global mortality. Determining the population's knowledge and the predictors of these pathologies is essential in developing effective educational and clinical strategies for the prevention and management of cardiometabolic risk (CMR). Polyphenols are natural compounds with a multitude of beneficial effects on cardiometabolic health. This study explored the current knowledge, understanding, and awareness of CMR, the benefits of polyphenols among Romanians, and how sociodemographic and clinical characteristics influence this aspect. Five hundred forty-six subjects responded anonymously to an online questionnaire designed to assess their knowledge. The data were collected and analyzed based on gender, age, education level, and BMI status. Most respondents expressed concern to a great or very great extent about their health (78%) and food (60%), with significant differences (p < 0.05) depending on age, educational level, and BMI status. Of the respondents, 64.8% declared that they were familiar with the CMR term. Still, the results showed a weak correlation between the stated risk factors and the self-assessment of increased risk (r = 0.027) for CVD or diabetes. Only 35% of the respondents reported a good or very good knowledge of the term "polyphenols", 86% recognized the antioxidant effect, and significantly fewer (26%) recognized the prebiotic effect. Developing and implementing targeted educational strategies to enhance learning and individual behaviors related to CMR factors and the benefits of polyphenols is necessary.
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Affiliation(s)
- Ioana Mariana Haș
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania;
| | - Bernadette-Emőke Teleky
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania; (B.-E.T.); (D.-C.V.)
- Department of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Dan-Cristian Vodnar
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania; (B.-E.T.); (D.-C.V.)
- Department of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Bianca Eugenia Ștefănescu
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania; (B.-E.T.); (D.-C.V.)
| | - Delia Mirela Tit
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 29 N. Jiga St., 410028 Oradea, Romania
| | - Maria Nițescu
- Department of Preclinical–Complementary Sciences, University of Medicine and Pharmacy “Carol Davila”, 050474 Bucharest, Romania;
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24
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Bascuñana P, Brackhan M, Möhle L, Wu J, Brüning T, Eiriz I, Jansone B, Pahnke J. Time- and Sex-Dependent Effects of Fingolimod Treatment in a Mouse Model of Alzheimer's Disease. Biomolecules 2023; 13:331. [PMID: 36830699 PMCID: PMC9953119 DOI: 10.3390/biom13020331] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/14/2023] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. Fingolimod has previously shown beneficial effects in different animal models of AD. However, it has shown contradictory effects when it has been applied at early disease stages. Our objective was to evaluate fingolimod in two different treatment paradigms. To address this aim, we treated male and female APP-transgenic mice for 50 days, starting either before plaque deposition at 50 days of age (early) or at 125 days of age (late). To evaluate the effects, we investigated the neuroinflammatory and glial markers, the Aβ load, and the concentration of the brain-derived neurotrophic factor (BDNF). We found a reduced Aβ load only in male animals in the late treatment paradigm. These animals also showed reduced microglia activation and reduced IL-1β. No other treatment group showed any difference in comparison to the controls. On the other hand, we detected a linear correlation between BDNF and the brain Aβ concentrations. The fingolimod treatment has shown beneficial effects in AD models, but the outcome depends on the neuroinflammatory state at the start of the treatment. Thus, according to our data, a fingolimod treatment would be effective after the onset of the first AD symptoms, mainly affecting the neuroinflammatory reaction to the ongoing Aβ deposition.
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Affiliation(s)
- Pablo Bascuñana
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Mirjam Brackhan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
- Pahnke Laboratory (Drug Development and Chemical Biology), Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Luisa Möhle
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Jingyun Wu
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Thomas Brüning
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Ivan Eiriz
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Baiba Jansone
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 3, 1004 Rīga, Latvia
| | - Jens Pahnke
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
- Pahnke Laboratory (Drug Development and Chemical Biology), Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 3, 1004 Rīga, Latvia
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
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25
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Miller JJ, Heather LC. Cardiometabolic risk factors vary with age differently in females and males. NATURE CARDIOVASCULAR RESEARCH 2022; 1:796-797. [PMID: 39196078 DOI: 10.1038/s44161-022-00130-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Affiliation(s)
- Jack J Miller
- The MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Lisa C Heather
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
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