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Bineid MM, Ventura EF, Samidoust A, Radha V, Anjana RM, Sudha V, Walton GE, Mohan V, Vimaleswaran KS. A Systematic Review of the Effect of Gene-Lifestyle Interactions on Metabolic-Disease-Related Traits in South Asian Populations. Nutr Rev 2025; 83:1061-1082. [PMID: 39283705 PMCID: PMC12066952 DOI: 10.1093/nutrit/nuae115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2025] Open
Abstract
CONTEXT Recent data from the South Asian subregion have raised concern about the dramatic increase in the prevalence of metabolic diseases, which are influenced by genetic and lifestyle factors. OBJECTIVE The aim of this systematic review was to summarize the contemporary evidence for the effect of gene-lifestyle interactions on metabolic outcomes in this population. DATA SOURCES PubMed, Web of Science, and SCOPUS databases were searched up until March 2023 for observational and intervention studies investigating the interaction between genetic variants and lifestyle factors such as diet and physical activity on obesity and type 2 diabetes traits. DATA EXTRACTION Of the 14 783 publications extracted, 15 were deemed eligible for inclusion in this study. Data extraction was carried out independently by 3 investigators. The quality of the included studies was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS), the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I), and the methodological quality score for nutrigenetics studies. DATA ANALYSIS Using a narrative synthesis approach, the findings were presented in textual and tabular format. Together, studies from India (n = 8), Pakistan (n = 3), Sri Lanka (n = 1), and the South Asian diaspora in Singapore and Canada (n = 3) reported 543 gene-lifestyle interactions, of which 132 (∼24%) were statistically significant. These results were related to the effects of the interaction of genetic factors with physical inactivity, poor sleep habits, smoking, and dietary intake of carbohydrates, protein, and fat on the risk of metabolic disease in this population. CONCLUSIONS The findings of this systematic review provide evidence of gene-lifestyle interactions impacting metabolic traits within the South Asian population. However, the lack of replication and correction for multiple testing and the small sample size of the included studies may limit the conclusiveness of the evidence. Note, this paper is part of the Nutrition Reviews Special Collection on Precision Nutrition. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration No. CRD42023402408.
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Affiliation(s)
- Manahil M Bineid
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, United Kingdom
| | - Eduard F Ventura
- Department of Biotechnology, Institute of Agrochemistry and Food Technology-National Research Council (IATA-CSIC), 46980 Valencia, Spain
| | - Aryan Samidoust
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, United Kingdom
| | - Venkatesan Radha
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India
| | - Ranjit Mohan Anjana
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India
- Department of Foods, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India
- Department of Diabetology, Dr Mohan’s Diabetes Specialties Centre, IDF Centre of Excellence in Diabetes Care, Chennai 600086, India
| | - Vasudevan Sudha
- Department of Foods, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India
| | - Gemma E Walton
- Food Microbial Sciences Unit, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading RG6 6AP, United Kingdom
| | - Viswanathan Mohan
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India
- Department of Foods, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India
- Department of Diabetology, Dr Mohan’s Diabetes Specialties Centre, IDF Centre of Excellence in Diabetes Care, Chennai 600086, India
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, United Kingdom
- The Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, United Kingdom
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Li J, Li J, Sun Y, Fu Y, Tan X, Wang N, Lu Y, Wang B. Choline Metabolites, Genetic Susceptibility, and Incident Heart Failure. JACC. ADVANCES 2025; 4:101445. [PMID: 39791104 PMCID: PMC11714414 DOI: 10.1016/j.jacadv.2024.101445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 10/22/2024] [Accepted: 11/05/2024] [Indexed: 01/12/2025]
Abstract
Background Little is known about the associations between choline metabolites (total choline, phosphatidylcholine, and glycine) and the incidence of heart failure (HF). Objectives The purpose of this study was to assess the associations of choline metabolites with incident HF and examine the effect modification by genetic susceptibility. Methods This prospective cohort study followed 245,072 participants from the UK Biobank from baseline (2006-2010) until March 30, 2023. Participants were free of cardiovascular diseases at baseline. Circulating choline metabolites were quantitated using nuclear magnetic resonance spectrometer. Cox proportional hazards models were fitted to assess the association of choline metabolites and genetics with incident HF. Two-sample Mendelian randomization analyses were implemented to confirm the findings in observational analysis. Results During a median follow-up of 14.1 years, 5,468 incident HF cases were documented. Total choline and phosphatidylcholine were positively associated with HF risk (HR: 1.08 [95% CI: 1.04-1.12] and HR: 1.08 [95% CI: 1.05-1.12], per one SD increase, respectively). Compared with the lowest quartile group, the HR for the highest quartile group was 1.23 (95% CI: 1.12-1.35) for total choline and 1.23 (95% CI: 1.12-1.34) for phosphatidylcholine. Glycine was inversely associated with HF risk (HR: 0.97 [95% CI: 0.94-0.99], per one SD increase). Participants with high polygenic risk score and high total choline or phosphatidylcholine had the highest risk of HF, whereas participants with low polygenic risk score and high glycine had the lowest risk. No statistically significant interactions were observed between choline metabolites and genetic susceptibility to HF. The Mendelian randomization analysis supported the potential causal associations of total choline (OR: 1.71 [95% CI: 1.01-1.35]) and glycine (OR: 0.93 [95% CI: 0.88-0.99]) with HF. Conclusions Circulating choline metabolites were associated with the risk of incident HF, independent of genetic susceptibility. Whether targeting the metabolic pathway of choline might be a potential strategy for improving heart health warrants further validation.
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Affiliation(s)
- Jie Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanqi Fu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Hussain M, Waheed A, Elahi A, Mustafa G. Fat Mass and Obesity-Related (FTO) Gene Variant Is a Predictor of CVD in T2DM Patients. J Diabetes Res 2024; 2024:5914316. [PMID: 39257882 PMCID: PMC11383650 DOI: 10.1155/2024/5914316] [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: 01/16/2024] [Revised: 04/10/2024] [Accepted: 05/29/2024] [Indexed: 09/12/2024] Open
Abstract
Background: The role of the common FTO gene variant rs9939609 in obesity has been well established, and the FTO gene has a strong association with T2DM. Objective: To investigate the association of FTO gene variant rs9939609 with obesity-related parameters in T2DM and CVD patients. Materials and Methods: In this cross-sectional study, 280 subjects of either sex aged 45.10 ± 9.6 years were randomly divided into four groups, that is, T2DM, T2DM with CVD, nondiabetic with CVD disease, and normal control. These samples were genotyped by ARMS-PCR. The FTO gene association with obesity-related parameters in T2DM and CVD patients was analyzed by SPSS 22. Results: The TT genotype was the most common genotype (46.80%) in our study groups. The minor allele frequency (MAF) was significantly higher in T2DM patients (0.39 vs. 0.28), T2DM patients with CVD (0.43 vs. 0.28), and nondiabetic patients with CVD (0.35 vs. 0.28) as compared to control with p < 0.005. Carriers of the AA genotype of the FTO gene rs9939609 were significantly associated with increased BMI, WC, HbA1C, SBP, DBP, and TGs and lowered HDL cholesterol as compared to the TA and TT genotypes in T2DM and CVD patients with p < 0.005. The FTO gene variant rs9939609 showed a significant association with T2DM and CVD. The AA genotype odds ratio (OR) in T2DM was 1.48 (1.06-2.32), p = 0.006, and in CVD, it was 1.56 (1.04-2.4), p = 0.003. Conclusion: The FTO gene variant rs9939609 has a strong association with T2DM and CVD. The AA genotype of FTO gene variants rs9939609 showed a strong association with most of the risk factors of CVD and T2DM.
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Affiliation(s)
- Mazhar Hussain
- Pharmacology DepartmentSheikh Zayed Medical College, Rahim Yar Khan, Punjab, Pakistan
| | - Akbar Waheed
- Pharmacology DepartmentRiphah International University, Islamabad, Pakistan
| | - Asim Elahi
- Internal Medicine Residency ProgramSouth Texas Health GME ConsortiumTexas A & M School of Medicine, Bryan, Texas, USA
| | - Ghulam Mustafa
- Community Medicine DepartmentSheikh Zayed Medical College, Rahim Yar Khan, Punjab, Pakistan
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Yurkovich JT, Evans SJ, Rappaport N, Boore JL, Lovejoy JC, Price ND, Hood LE. The transition from genomics to phenomics in personalized population health. Nat Rev Genet 2024; 25:286-302. [PMID: 38093095 DOI: 10.1038/s41576-023-00674-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2023] [Indexed: 03/21/2024]
Abstract
Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health trajectory of each individual using a data-driven personalized approach that reflects their genetics, behaviour and environment, we can start to address these challenges. This assessment includes longitudinal phenome measures, such as the blood proteome and metabolome, gut microbiome composition and function, and lifestyle and behaviour through wearables and questionnaires. Here, we review ongoing large-scale genomics and longitudinal phenomics efforts and the powerful insights they provide into wellness. We describe our vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health.
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Affiliation(s)
- James T Yurkovich
- Phenome Health, Seattle, WA, USA
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, USA
| | - Simon J Evans
- Phenome Health, Seattle, WA, USA
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA
| | - Noa Rappaport
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA
- Institute for Systems Biology, Seattle, WA, USA
| | - Jeffrey L Boore
- Phenome Health, Seattle, WA, USA
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA
| | - Jennifer C Lovejoy
- Phenome Health, Seattle, WA, USA
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA
- Institute for Systems Biology, Seattle, WA, USA
| | - Nathan D Price
- Institute for Systems Biology, Seattle, WA, USA
- Thorne HealthTech, New York, NY, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Leroy E Hood
- Phenome Health, Seattle, WA, USA.
- Center for Phenomic Health, The Buck Institute for Research on Aging, Novato, CA, USA.
- Institute for Systems Biology, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.
- Department of Immunology, University of Washington, Seattle, WA, USA.
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Muniyappa R, Narayanappa SBK. Disentangling Dual Threats: Premature Coronary Artery Disease and Early-Onset Type 2 Diabetes Mellitus in South Asians. J Endocr Soc 2023; 8:bvad167. [PMID: 38178904 PMCID: PMC10765382 DOI: 10.1210/jendso/bvad167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Indexed: 01/06/2024] Open
Abstract
South Asian individuals (SAs) face heightened risks of premature coronary artery disease (CAD) and early-onset type 2 diabetes mellitus (T2DM), with grave health, societal, and economic implications due to the region's dense population. Both conditions, influenced by cardiometabolic risk factors such as insulin resistance, hypertension, and central adiposity, manifest earlier and with unique thresholds in SAs. Epidemiological, demographic, nutritional, environmental, sociocultural, and economic transitions in SA have exacerbated the twin epidemic. The coupling of premature CAD and T2DM arises from increased obesity due to limited adipose storage, early-life undernutrition, distinct fat thresholds, reduced muscle mass, and a predisposition for hepatic fat accumulation from certain dietary choices cumulatively precipitating a decline in insulin sensitivity. As T2DM ensues, the β-cell adaptive responses are suboptimal, precipitating a transition from compensatory hyperinsulinemia to β-cell decompensation, underscoring a reduced functional β-cell reserve in SAs. This review delves into the interplay of these mechanisms and highlights a prediabetes endotype tied to elevated vascular risk. Deciphering these mechanistic interconnections promises to refine stratification paradigms, surpassing extant risk-prediction strategies.
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Affiliation(s)
- Ranganath Muniyappa
- Clinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Satish Babu K Narayanappa
- Department of Medicine, Sri Madhusudan Sai Institute of Medical Sciences and Research, Muddenahalli, Karnataka 562101, India
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Shill LC, Alam MR. Crosstalk between FTO gene polymorphism (rs9939609) and obesity-related traits among Bangladeshi population. Health Sci Rep 2023; 6:e1414. [PMID: 37431487 PMCID: PMC10329739 DOI: 10.1002/hsr2.1414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 07/12/2023] Open
Abstract
Background and Aims Obesity is a growing public health concern in Bangladesh, which is influenced by a complex interplay of genetic and environmental factors. The genetic variant rs9939609 of the FTO (fat mass and obesity-associated) gene has been found to be associated with an increased risk for obesity, depending on the population studied. The purpose of this cross-sectional study is to examine the relationship between the FTO gene polymorphism (rs9939609) and lifestyle-related risk factors, and their impact on obesity-related traits and biochemical parameters in the Bangladeshi population. Methods A total of 280 participants were enrolled in this study, comprising of 140 individuals with overweight and obesity (body mass index [BMI] ≥ 23.0) and 140 non-overweight healthy individuals (18.5 ≤ BMI ≥ 22.9). Demographic information, dietary behaviors, and physical activity-related data were collected using a structured questionnaire. Additionally, anthropometric assessments and measurements of biochemical parameters such as lipid profile and C-reactive protein were performed. The amplification refractory mutation system-polymerase chain reaction technique was used to identify single-nucleotide polymorphism in the FTO gene. Descriptive statistics, χ,2 and one-way ANOVA were performed to evaluate the relationships between independent and dependent variables. Results The presence of rs9939609 was strongly associated with the obesity risk factors of increased BMI, cholesterol, triglycerides, and low-density lipoprotein. We also found a significant association (p < 0.05) of rs9939609 with overweight and obesity in codominant AA versus TT (odds ratio [OR] = 0.299, 95% CI: 0.129-0.695) and AA versus AT (OR = 2.273, 95% CI: 1.023-5.053), recessive TT versus AA+AT (OR = 5.154, 95% CI: 2.463-10.782), and overdominant AT versus AA+TT (OR = 0.244, 95% CI: 0.122-0.488) models. Conclusion FTO variant rs9939609 is significantly linked to obesity and an increased risk of hyperlipidemia in the Bangladeshi population. However, this association is intertwined with environmental factors such as diet and physical activity.
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Affiliation(s)
- Lincon Chandra Shill
- Department of Food Technology and Nutrition ScienceNoakhali Science and Technology UniversityNoakhaliBangladesh
| | - Mohammad Rahanur Alam
- Department of Food Technology and Nutrition ScienceNoakhali Science and Technology UniversityNoakhaliBangladesh
- Department of NutritionUniversity of TennesseeKnoxvilleTennesseeUSA
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Wuni R, Ventura EF, Curi-Quinto K, Murray C, Nunes R, Lovegrove JA, Penny M, Favara M, Sanchez A, Vimaleswaran KS. Interactions between genetic and lifestyle factors on cardiometabolic disease-related outcomes in Latin American and Caribbean populations: A systematic review. Front Nutr 2023; 10:1067033. [PMID: 36776603 PMCID: PMC9909204 DOI: 10.3389/fnut.2023.1067033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction The prevalence of cardiometabolic diseases has increased in Latin American and the Caribbean populations (LACP). To identify gene-lifestyle interactions that modify the risk of cardiometabolic diseases in LACP, a systematic search using 11 search engines was conducted up to May 2022. Methods Eligible studies were observational and interventional studies in either English, Spanish, or Portuguese. A total of 26,171 publications were screened for title and abstract; of these, 101 potential studies were evaluated for eligibility, and 74 articles were included in this study following full-text screening and risk of bias assessment. The Appraisal tool for Cross-Sectional Studies (AXIS) and the Risk Of Bias In Non-Randomized Studies-of Interventions (ROBINS-I) assessment tool were used to assess the methodological quality and risk of bias of the included studies. Results We identified 122 significant interactions between genetic and lifestyle factors on cardiometabolic traits and the vast majority of studies come from Brazil (29), Mexico (15) and Costa Rica (12) with FTO, APOE, and TCF7L2 being the most studied genes. The results of the gene-lifestyle interactions suggest effects which are population-, gender-, and ethnic-specific. Most of the gene-lifestyle interactions were conducted once, necessitating replication to reinforce these results. Discussion The findings of this review indicate that 27 out of 33 LACP have not conducted gene-lifestyle interaction studies and only five studies have been undertaken in low-socioeconomic settings. Most of the studies were cross-sectional, indicating a need for longitudinal/prospective studies. Future gene-lifestyle interaction studies will need to replicate primary research of already studied genetic variants to enable comparison, and to explore the interactions between genetic and other lifestyle factors such as those conditioned by socioeconomic factors and the built environment. The protocol has been registered on PROSPERO, number CRD42022308488. Systematic review registration https://clinicaltrials.gov, identifier CRD420223 08488.
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Affiliation(s)
- Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Eduard F. Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | | | - Claudia Murray
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Richard Nunes
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Mary Penny
- Instituto de Investigación Nutricional, Lima, Peru
| | - Marta Favara
- Oxford Department of International Development, University of Oxford, Oxford, United Kingdom
| | - Alan Sanchez
- Grupo de Análisis para el Desarrollo (GRADE), Lima, Peru
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading, United Kingdom
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Faghy MA, Yates J, Hills AP, Jayasinghe S, da Luz Goulart C, Arena R, Laddu D, Gururaj R, Veluswamy SK, Dixit S, Ashton REM. Cardiovascular disease prevention and management in the COVID-19 era and beyond: An international perspective. Prog Cardiovasc Dis 2023; 76:102-111. [PMID: 36693488 PMCID: PMC9862672 DOI: 10.1016/j.pcad.2023.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
Despite some indicators of a localized curtailing of cardiovascular disease (CVD) prevalence, CVD remains one of the largest contributors to global morbidity and mortality. While the magnitude and impact of the coronavirus disease 2019 (COVID-19) pandemic have yet to be realized in its entirety, an unquestionable impact on global health and well-being is already clear. At a time when the global state of CVD is perilous, we provide a continental overview of prevalence data and initiatives that have positively influenced CVD outcomes. What is clear is that despite attempts to address the global burden of CVD, there remains a lack of collective thinking and approaches. Moving forward, a coordinated global infrastructure that, if developed with appropriate and relevant key stakeholders, could provide significant and longstanding benefits to public health and yield prominent and consistent policy resulting in impactful change. To achieve global impact, research priorities that address multi-disciplinary social, environmental, and clinical perspectives must be underpinned by unified approaches that maximize public health.
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Affiliation(s)
- Mark A Faghy
- Biomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America.
| | - James Yates
- Biomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK
| | - Andrew P Hills
- Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America; School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, Australia
| | - Sisitha Jayasinghe
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, Australia
| | - Cássia da Luz Goulart
- Cardiopulmonary Physiotherapy Laboratory, Department of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Ross Arena
- Biomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America
| | - Rachita Gururaj
- Department of Physiotherapy, Ramaiah Medical College, Bengaluru, India
| | - Sundar Kumar Veluswamy
- Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America; Department of Physiotherapy, Ramaiah Medical College, Bengaluru, India
| | - Snehil Dixit
- Department of Medical Rehabilitation Sciences, King Khalid University, Saudi Arabia
| | - Ruth E M Ashton
- Biomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America
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Yu C, Hodge AM, Wong EM, Joo JE, Makalic E, Schmidt DF, Buchanan DD, Severi G, Hopper JL, English DR, Giles GG, Milne RL, Southey MC, Dugué PA. Does genetic predisposition modify the effect of lifestyle-related factors on DNA methylation? Epigenetics 2022; 17:1838-1847. [PMID: 35726372 PMCID: PMC9621069 DOI: 10.1080/15592294.2022.2088038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 05/19/2022] [Accepted: 05/31/2022] [Indexed: 12/15/2022] Open
Abstract
Lifestyle-related phenotypes have been shown to be heritable and associated with DNA methylation. We aimed to investigate whether genetic predisposition to tobacco smoking, alcohol consumption, and higher body mass index (BMI) moderates the effect of these phenotypes on blood DNA methylation. We calculated polygenic scores (PGS) to quantify genetic predisposition to these phenotypes using training (N = 7,431) and validation (N = 4,307) samples. Using paired genetic-methylation data (N = 4,307), gene-environment interactions (i.e., PGS × lifestyle) were assessed using linear mixed-effects models with outcomes: 1) methylation at sites found to be strongly associated with smoking (1,061 CpGs), alcohol consumption (459 CpGs), and BMI (85 CpGs) and 2) two epigenetic ageing measures, PhenoAge and GrimAge. In the validation sample, PGS explained ~1.4% (P = 1 × 10-14), ~0.6% (P = 2 × 10-7), and ~8.7% (P = 7 × 10-87) of variance in smoking initiation, alcohol consumption, and BMI, respectively. Nominally significant interaction effects (P < 0.05) were found at 61, 14, and 7 CpGs for smoking, alcohol consumption, and BMI, respectively. There was strong evidence that all lifestyle-related phenotypes were positively associated with PhenoAge and GrimAge, except for alcohol consumption with PhenoAge. There was weak evidence that the association of smoking with GrimAge was attenuated in participants genetically predisposed to smoking (interaction term: -0.022, standard error [SE] = 0.012, P = 0.058) and that the association of alcohol consumption with PhenoAge was attenuated in those genetically predisposed to drink alcohol (interaction term: -0.030, SE = 0.015, P = 0.041). In conclusion, genetic susceptibility to unhealthy lifestyles did not strongly modify the association between observed lifestyle behaviour and blood DNA methylation. Potential associations were observed for epigenetic ageing measures, which should be replicated in additional studies.
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Affiliation(s)
- Chenglong Yu
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Ee Ming Wong
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Enes Makalic
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Daniel F Schmidt
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine Universités Paris-Saclay, Uvsq, Villejuif, France
- Department of Statistics, Computer Science and Applications “G. Parenti”, University of Florence, Firenze, Italy
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
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10
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Khodarahmi M, Javidzade P, Farhangi MA, Hashemzehi A, Kahroba H. Interplay between fatty acid desaturase2 (FADS2) rs174583 genetic variant and dietary antioxidant capacity: cardio-metabolic risk factors in obese individuals. BMC Endocr Disord 2022; 22:167. [PMID: 35773659 PMCID: PMC9245241 DOI: 10.1186/s12902-022-01075-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 06/13/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Polymorphisms of the fatty acid desaturase (FADS) gene cluster have been associated with obesity and its-related consequences. This cross-sectional study aimed to investigate whether the adherence to dietary non-enzymatic antioxidant capacity (NEAC), reflecting the antioxidant potential of the whole diet, modifies the association of FADS2 rs174583 polymorphism with cardio-metabolic risk factors in obese adults. METHODS The present study included 347 healthy obese adults (aged 20-50 years). Dietary NEAC was assessed by a validated food frequency questionnaire with 147 items and estimated through total radical-trapping antioxidant parameters (TRAP), oxygen radical absorbance capacity (ORAC), and ferric reducing ability of plasma (FRAP) with the use of published databases. FADS2 rs174583 polymorphism was characterized using PCR-RFLP. ANCOVA multivariate interaction model was used to analyze gene-diet interactions. RESULTS after adjustment for the confounding variables (age, physical activity, SES and WC), this study showed significant interactions between rs174583 polymorphism and adherence to dietary ORAC on the serum cholesterol (P Interaction = 0.029), LDL-C (P Interaction = 0.025) and HDL-C levels (P Interaction = 0.049) among the male group; minor allele carriers who had the highest adherence to the NEAC (ORAC) showed a better metabolic profile (lower TG and LDL-C and higher HDL-C) (P < 0.05). Among women, the dietary ORAC-rs174583 interactions were statistically significant for the serum insulin concentration (P Interaction = 0.020), QUICKI (P Interaction = 0.023) and HOMA-IR (P Interaction = 0.017); the highest QUICKI and the lowest HOMA-IR and serum insulin levels were observed in the CC homozygote carriers with the moderate compliance with the dietary ORAC (P < 0.05). In addition, the dietary TRAP modified the association between FADS2 variant and change in LDL-C levels (P Interaction = 0.037); the homozygous wild-type (CC) women who placed in the top tertile of TRAP had significantly the lowest LDL-C levels than those in the second tertile (P < 0.05). CONCLUSION These data indicate that the FADS2 rs174583 polymorphism interacts with the dietary NEAC to influence cardio-metabolic risk factors in obese subjects. Replication in prospective cohort studies among other populations is required to confirm the results of our study.
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Affiliation(s)
- Mahdieh Khodarahmi
- Department of Community Nutrition, Faculty of Nutrition and Food Science, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Parisa Javidzade
- Department of Genetics, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Mahdieh Abbasalizad Farhangi
- Drug Applied Research Center, Tabriz University of Medical Sciences, Attar-Neishabouri Ave, Golgasht St, Tabriz, 5165665931, Iran.
| | - Ahmad Hashemzehi
- Department of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Houman Kahroba
- Department of Toxicogenomics, GROW School of Oncology and Development Biology, Maastricht University, Maastricht, the Netherlands
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
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11
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Wang N, Sun Y, Zhang H, Wang B, Chen C, Wang Y, Chen J, Tan X, Zhang J, Xia F, Qi L, Lu Y. Long-term night shift work is associated with the risk of atrial fibrillation and coronary heart disease. Eur Heart J 2021; 42:4180-4188. [PMID: 34374755 DOI: 10.1093/eurheartj/ehab505] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/01/2021] [Accepted: 07/15/2021] [Indexed: 01/05/2023] Open
Abstract
AIMS The aim of this study was to test whether current and past night shift work was associated with incident atrial fibrillation (AF) and whether this association was modified by genetic vulnerability. Its associations with coronary heart disease (CHD), stroke, and heart failure (HF) were measured as a secondary aim. METHODS AND RESULTS This cohort study included 283 657 participants in paid employment or self-employed without AF and 276 009 participants free of CHD, stroke, and HF at baseline in the UK Biobank. Current and lifetime night shift work information was obtained. Cox proportional hazard models were used. Weighted genetic risk score for AF was calculated. During a median follow-up of 10.4 years, 5777 incident AF cases were documented. From 'day workers', 'shift but never/rarely night shifts', and 'some night shifts' to 'usual/permanent night shifts', there was a significant increasing trend in the risk of incident AF (P for trend 0.013). Usual or permanent night shifts were associated with the highest risk [hazard ratio (HR) 1.16, 95% confidence interval (CI) 1.02-1.32]. Considering a person's lifetime work schedule and compared with shift workers never working nights, participants with a duration over 10 years and an average 3-8 nights/month frequency of night shift work exposure possessed higher AF risk (HR 1.18, 95% CI 0.99-1.40 and HR 1.22, 95% CI 1.02-1.45, respectively). These associations between current and lifetime night shifts and AF were not modified by genetic predisposition to AF. Usual/permanent current night shifts, ≥10 years and 3-8 nights/month of lifetime night shifts were significantly associated with a higher risk of incident CHD (HR 1.22, 95% CI 1.11-1.35, HR 1.37, 95% CI 1.20-1.58 and HR 1.35, 95% CI 1.18-1.55, respectively). These associations in stroke and HF were not significant. CONCLUSION Both current and lifetime night shift exposures were associated with increased AF risk, regardless of genetic AF risk. Night shift exposure also increased the risk of CHD but not stroke or HF. Whether decreasing night shift work frequency and duration might represent another avenue to improve heart health during working life and beyond warrants further study.
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Affiliation(s)
- Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Haojie Zhang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Chi Chen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Jie Chen
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China
| | - Xiao Tan
- Department of Neuroscience, Uppsala University, BMC, 3 Husargatan, Uppsala 75124, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Nobels vag 9, 17165, Stockholm, Sweden
| | - Jihui Zhang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 123 Huifu West Road, Yuexiu District, Guangzhou 510000, China
| | - Fangzhen Xia
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, No. 639 Zhizaoju Road, Shanghai 200011, China
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12
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Guha D, Mukherjee R, Aich P. Effects of two potential probiotic Lactobacillus bacteria on adipogenesis in vitro. Life Sci 2021; 278:119538. [PMID: 33932443 DOI: 10.1016/j.lfs.2021.119538] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/31/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022]
Abstract
AIMS Overweight is a major global health problem. Various methodologies to get rid of the extra fat are available, but usually, those are associated with adverse side effects. Probiotics, on the contrary, seem to have the potential to help reduce fat accumulation without much apparent adversity. In this study, we have evaluated a pair of well-documented probiotics for their anti-obesogenic effects. MAIN METHODS We used strains of Lactobacillus acidophilus (LA) and a cocktail (LDB-ST) of Lactobacillus delbruckei sp. bulgaricus (LDB) and Streptococcus thermophilus (ST) in this study. The murine pre-adipocyte cell line 3T3-L1 was terminally differentiated to matured adipocytes to use as a model to evaluate the bacteria's anti-obesogenic effects. The optimal dose for treatment of both the probiotics was determined using a cell viability assay. We assessed the probiotic internalization potential of differentiated 3T3-L1 cells by flow cytometry, fluorescence microscopy, and cell lysis method. We determined the lipolytic and anti-adipogenic potential of probiotics by intracellular lipid staining, spectrophotometry, and gene expression analysis. KEY FINDINGS Both probiotics were effective lipolytic agents as revealed by reducing cellular lipids and down-regulation of mammalian adipogenesis marker genes in terminally differentiated 3T3-L1 cells. SIGNIFICANCE Previous studies from our group had proven the immune-modulatory properties of these probiotics on an immune-biased mouse model. The present study demonstrates LA and LDB-ST to be effective against adipogenesis. Further in vivo studies will be conducted to strengthen this claim.
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Affiliation(s)
- Dipanjan Guha
- School of Biological Sciences, National Institute of Science Education and Research (NISER), P.O. - Bhimpur-Padanpur, Jatni - 752050, Dist.-Khurda, Odisha, India; Homi Bhabha National Institute (HBNI), Training School Complex, Anushaktinagar, Mumbai 400 094, India
| | - Raktim Mukherjee
- School of Biological Sciences, National Institute of Science Education and Research (NISER), P.O. - Bhimpur-Padanpur, Jatni - 752050, Dist.-Khurda, Odisha, India; Homi Bhabha National Institute (HBNI), Training School Complex, Anushaktinagar, Mumbai 400 094, India
| | - Palok Aich
- School of Biological Sciences, National Institute of Science Education and Research (NISER), P.O. - Bhimpur-Padanpur, Jatni - 752050, Dist.-Khurda, Odisha, India; Homi Bhabha National Institute (HBNI), Training School Complex, Anushaktinagar, Mumbai 400 094, India.
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13
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Wolf RM, Nagpal M, Magge SN. Diabetes and cardiometabolic risk in South Asian youth: A review. Pediatr Diabetes 2021; 22:52-66. [PMID: 32666595 PMCID: PMC8191592 DOI: 10.1111/pedi.13078] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/22/2020] [Accepted: 06/02/2020] [Indexed: 12/15/2022] Open
Abstract
South Asians are at increased risk for developing type 2 diabetes and cardiovascular disease at lower body mass index compared to other ancestral groups. Many factors contribute to this increased risk, including genetics, maternal-fetal factors, diet, fitness, body composition, and unique pathophysiology. Increased cardiometabolic risk is also seen at younger ages in South Asian individuals as compared to their White counterparts. This risk persists in migrant communities outside of South Asia. With the growing prevalence of obesity, diabetes, and cardiovascular disease in the South Asian population, it is imperative that we had better understand the mechanisms underlying this increased risk and implement strategies to address this growing public health problem during childhood and adolescence.
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Affiliation(s)
- Risa M Wolf
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
| | - Mohika Nagpal
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
| | - Sheela N. Magge
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
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14
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In vivo anti-obesity effects of Monascus pigment threonine derivative with enhanced hydrophilicity. J Funct Foods 2020. [DOI: 10.1016/j.jff.2020.103849] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
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15
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de Frel DL, Atsma DE, Pijl H, Seidell JC, Leenen PJM, Dik WA, van Rossum EFC. The Impact of Obesity and Lifestyle on the Immune System and Susceptibility to Infections Such as COVID-19. Front Nutr 2020; 7:597600. [PMID: 33330597 PMCID: PMC7711810 DOI: 10.3389/fnut.2020.597600] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/03/2020] [Indexed: 12/13/2022] Open
Abstract
Background: COVID-19 is a global challenge to healthcare. Obesity is common in patients with COVID-19 and seems to aggravate disease prognosis. In this review we explore the link between obesity, chronic disease, lifestyle factors and the immune system, and propose societal interventions to enhance global immunity. Search Strategy and Selection Criteria: We performed three literature searches using the keywords (1) coronavirus AND comorbidities, (2) comorbidities AND immune system, and (3) lifestyle factors AND immune system. Results were screened for relevance by the main author and a total of 215 articles were thoroughly analyzed. Results: The relationship between obesity and unfavorable COVID-19 prognosis is discussed in light of the impact of chronic disease and lifestyle on the immune system. Several modifiable lifestyle factors render us susceptible to viral infections. In this context, we make a case for fostering a healthy lifestyle on a global scale. Conclusions: Obesity, additional chronic disease and an unhealthy lifestyle interactively impair immune function and increase the risk of severe infectious disease. In adverse metabolic and endocrine conditions, the immune system is geared toward inflammation. Collective effort is needed to ameliorate modifiable risk factors for obesity and chronic disease on a global scale and increase resistance to viruses like SARS-CoV-2.
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Affiliation(s)
- Daan L. de Frel
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Douwe E. Atsma
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
- *Correspondence: Douwe E. Atsma
| | - Hanno Pijl
- Department of Endocrinology, Leiden University Medical Center, Leiden, Netherlands
| | - Jacob C. Seidell
- Department of Health Sciences, VU Medical Center, Amsterdam, Netherlands
| | - Pieter J. M. Leenen
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Willem A. Dik
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Division of Clinical Immunology, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elisabeth F. C. van Rossum
- Division of Endocrinology, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
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