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Choi S, Chon J, Yoo MC, Shim GY, Kim M, Kim M, Soh Y, Won CW. The Impact of the Physical Activity Level on Sarcopenic Obesity in Community-Dwelling Older Adults. Healthcare (Basel) 2024; 12:349. [PMID: 38338234 PMCID: PMC10855481 DOI: 10.3390/healthcare12030349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024] Open
Abstract
Previous studies have reported that low levels of physical activity result in sarcopenic obesity (SO). However, the effects of specific intensities of physical activity on SO and the optimal amount of physical activity for lowering the prevalence of SO have not been well studied. This study aimed to identify the effects of physical activity levels and intensity on SO and the optimal amount of physical activity related to a lower prevalence of SO. This cross-sectional study used data from the nationwide Korean Frailty and Aging Cohort Study (KFACS), which included 2071 older adults (1030 men, 1041 women). SO was defined according to the criteria of the European Society for Clinical Nutrition Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO). Multivariate logistic regression analysis was performed to investigate the association between the physical activity level and SO. The high activity group had a significantly lower prevalence of SO than the non-high activity (low and moderate activity) group. On the other hand, moderate-intensity physical activity was associated with a lower prevalence of SO. A total physical activity energy expenditure of > 3032 kcal/week (433 kcal/day) for men and 2730 kcal/week (390 kcal/day) for women was associated with a reduced prevalence of SO. The high physical activity and total physical energy expenditure described above may be beneficial for reducing the prevalence of SO.
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Affiliation(s)
- Seongmin Choi
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
- Department of Physical Medicine and Rehabilitation, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Jinmann Chon
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
| | - Myung Chul Yoo
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
| | - Ga Yang Shim
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
| | - Minjung Kim
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
- Department of Physical Medicine and Rehabilitation, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Miji Kim
- Department of Health Sciences and Technology, College of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Yunsoo Soh
- Department of Physical Medicine and Rehabilitation Medicine, Kyung Hee University Hospital, Seoul 02447, Republic of Korea
| | - Chang Won Won
- Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
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Silva S, Fatumo S, Nitsch D. Mendelian randomization studies on coronary artery disease: a systematic review and meta-analysis. Syst Rev 2024; 13:29. [PMID: 38225600 PMCID: PMC10790478 DOI: 10.1186/s13643-023-02442-8] [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: 08/17/2023] [Accepted: 12/20/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide. We aimed to summarize what is currently known with regard to causal modifiable risk factors associated with CAD in populations of diverse ancestries through conducting a systematic review and meta-analysis of Mendelian randomization (MR) studies on CAD. METHODS The databases Embase, Medline, Cochrane Library and Web of Science were searched on the 19th and 20th of December 2022 for MR studies with CAD as a primary outcome; keywords of the search strategy included "coronary artery disease" and "mendelian randomization". Studies were included if they were published in the English language, included only human participants, employed Mendelian randomization as the primary methodology and studied CAD as the outcome of interest. The exclusion criteria resulted in the removal of studies that did not align with the predefined inclusion criteria, as well as studies which were systematic reviews themselves, and used the same exposure and outcome source as another study. An ancestry-specific meta-analysis was subsequently conducted on studies which investigated either body mass index, lipid traits, blood pressure or type 2 diabetes as an exposure variable. Assessment of publication bias and sensitivity analyses was conducted for risk of bias assessment in the included studies. RESULTS A total of 1781 studies were identified through the database searches after de-duplication was performed, with 47 studies included in the quantitative synthesis after eligibility screening. Approximately 80% of all included study participants for MR studies on CAD were of European descent irrespective of the exposure of interest, while no study included individuals of African ancestry. We found no evidence of differences in terms of direction of causation between ancestry groups; however, the strength of the respective relationships between each exposure and CAD were different, with this finding most evident when blood pressure was the exposure of interest. CONCLUSIONS Findings from this review suggest that patterns regarding the causational relationship between modifiable risk factors and CAD do not differ in terms of direction when compared across diverse ancestry populations. Differences in the observed strengths of the respective relationships however are indicative of the value of increasing representation in non-European populations, as novel genetic pathways or functional SNPs relating to CAD may be uncovered through a more global analysis. SYSTEMATIC REVIEW REGISTRATION The protocol for this systematic review was registered to the International Prospective Register of Systematic Reviews (PROSPERO) and is publicly available online (CRD42021272726).
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Affiliation(s)
- Sarah Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda.
| | - Segun Fatumo
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda.
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
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Trichia E, Malden DE, Jin D, Wright N, Taylor H, Karpe F, Sherliker P, Murgia F, Hopewell JC, Lacey B, Emberson J, Bennett D, Lewington S. Independent relevance of adiposity measures to coronary heart disease risk among 0.5 million adults in UK Biobank. Int J Epidemiol 2023; 52:1836-1844. [PMID: 37935988 PMCID: PMC10749766 DOI: 10.1093/ije/dyad143] [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: 10/26/2022] [Accepted: 11/02/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Evidence on body fat distribution shows opposing effects of waist circumference (WC) and hip circumference (HC) for coronary heart disease (CHD). We aimed to investigate the causality and the shape of such associations. METHODS UK Biobank is a prospective cohort study of 0.5 million adults aged 40-69 years recruited between 2006 and 2010. Adjusted hazard ratios (HRs) for the associations of measured and genetically predicted body mass index (BMI), WC, HC and waist-to-hip ratio with incident CHD were obtained from Cox models. Mendelian randomization (MR) was used to assess causality. The analysis included 456 495 participants (26 225 first-ever CHD events) without prior CHD. RESULTS All measures of adiposity demonstrated strong, positive and approximately log-linear associations with CHD risk over a median follow-up of 12.7 years. For HC, however, the association became inverse given the BMI and WC (HR per usual SD 0.95, 95% CI 0.93-0.97). Associations for BMI and WC remained independently positive after adjustment for other adiposity measures and were similar (1.14, 1.13-1.16 and 1.18, 1.15-1.20, respectively), with WC displaying stronger associations among women. Blood pressure, plasma lipids and dysglycaemia accounted for much of the observed excess risk. MR results were generally consistent with the observational, implying causality. CONCLUSIONS Body fat distribution measures displayed similar associations with CHD risk as BMI except for HC, which was inversely associated with CHD risk (given WC and BMI). These findings suggest that different measures of body fat distribution likely influence CHD risk through both overlapping and independent mechanisms.
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Affiliation(s)
- Eirini Trichia
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Debbie E Malden
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Danyao Jin
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Neil Wright
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hannah Taylor
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals (OUH) Foundation Trust, Oxford, UK
| | - Fredrik Karpe
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals (OUH) Foundation Trust, Oxford, UK
- The Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, UK
| | - Paul Sherliker
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Federico Murgia
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jemma C Hopewell
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ben Lacey
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan Emberson
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Derrick Bennett
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals (OUH) Foundation Trust, Oxford, UK
| | - Sarah Lewington
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Health Data Research UK Oxford, University of Oxford, Oxford, UK
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Jiang T, Gill D, Butterworth AS, Burgess S. An empirical investigation into the impact of winner's curse on estimates from Mendelian randomization. Int J Epidemiol 2023; 52:1209-1219. [PMID: 36573802 PMCID: PMC10396423 DOI: 10.1093/ije/dyac233] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/08/2022] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION Genetic associations for variants identified through genome-wide association studies (GWASs) tend to be overestimated in the original discovery data set as, if the association was underestimated, the variant may not have been detected. This bias, known as winner's curse, can affect Mendelian randomization estimates, but its severity and potential impact are unclear. METHODS We performed an empirical investigation to assess the potential bias from winner's curse in practice. We considered Mendelian randomization estimates for the effect of body mass index (BMI) on coronary artery disease risk. We randomly divided a UK Biobank data set 100 times into three equally sized subsets. The first subset was treated as the 'discovery GWAS'. We compared genetic associations estimated in the discovery GWAS to those estimated in the other subsets for each of the 100 iterations. RESULTS For variants associated with BMI at P < 5 × 10-8 in at least one iteration, genetic associations with BMI were up to 5-fold greater in iterations in which the variant was associated with BMI at P < 5 × 10-8 compared with its mean association across all iterations. If the minimum P-value for association with BMI was P = 10-13 or lower, then this inflation was <25%. Mendelian randomization estimates were affected by winner's curse bias. However, bias did not materially affect results; all analyses indicated a deleterious effect of BMI on coronary artery disease risk. CONCLUSIONS Winner's curse can bias Mendelian randomization estimates, although its practical impact may not be substantial. If avoiding sample overlap is infeasible, analysts should consider performing a sensitivity analysis based on variants strongly associated with the exposure.
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Affiliation(s)
- Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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Vijayasivajie A, Mukhopadhaya P, Heaton C. An investigation of body mass distributional changes in Australia, 1995-2017/18. ECONOMICS AND HUMAN BIOLOGY 2023; 50:101270. [PMID: 37437358 DOI: 10.1016/j.ehb.2023.101270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023]
Abstract
This study investigates changes in the distribution of body mass for adult Australians between 1995 and 2017/18. Using three nationally representative health surveys, we first apply the parametric generalised entropy (GE) class of inequality indices to measure the level of disparity in the body mass distribution. Results from the GE measure reveal that, while growth of body mass inequality is a population-wide experience, demographic and socio-economic factors explain only a modest portion of total inequality. We then apply the relative distributions (RD) method to garner richer insights on changes to the body mass distribution. The non-parametric RD method reveals growth in the proportion of adult Australians falling into the upper deciles of the body mass distribution since 1995. Then, hypothetically keeping the shape of the distribution unchanged, we discern that body mass increases across all deciles of the distribution (location effect) is an important contributor to the observed distributional change. After removing the location effect, however, we find a non-trivial role for distributional shape changes (growth of the proportion of adults at the upper and lower parts of the distribution as the proportion in the middle diminish). While our findings support current policy directions that target the population as a whole, factors driving shape changes to the body mass distribution also need consideration when designing anti-obesity campaigns, especially when aimed at women.
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Affiliation(s)
- Anushiya Vijayasivajie
- Economics Department, Macquarie University, Macquarie University, 4-6 Eastern Road, NSW 2109, Australia.
| | - Pundarik Mukhopadhaya
- Economics Department, Macquarie University, Macquarie University, 4-6 Eastern Road, NSW 2109, Australia
| | - Chris Heaton
- Economics Department, Macquarie University, Macquarie University, 4-6 Eastern Road, NSW 2109, Australia
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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:nu15102281. [PMID: 37242164 DOI: 10.3390/nu15102281] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [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
- 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
- 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
| | - 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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Lind L, Ahmad S, Elmståhl S, Fall T. The metabolic profile of waist to hip ratio-A multi-cohort study. PLoS One 2023; 18:e0282433. [PMID: 36848351 PMCID: PMC9970070 DOI: 10.1371/journal.pone.0282433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 02/15/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND The genetic background of general obesity and fat distribution is different, pointing to separate underlying physiology. Here, we searched for metabolites and lipoprotein particles associated with fat distribution, measured as waist/hip ratio adjusted for fat mass (WHRadjfatmass), and general adiposity measured as percentage fat mass. METHOD The sex-stratified association of 791 metabolites detected by liquid chromatography-mass spectrometry (LC-MS) and 91 lipoprotein particles measured by nuclear magnetic spectroscopy (NMR) with WHRadjfatmass and fat mass were assessed using three population-based cohorts: EpiHealth (n = 2350) as discovery cohort, with PIVUS (n = 603) and POEM (n = 502) as replication cohorts. RESULTS Of the 193 LC-MS-metabolites being associated with WHRadjfatmass in EpiHealth (false discovery rate (FDR) <5%), 52 were replicated in a meta-analysis of PIVUS and POEM. Nine metabolites, including ceramides, sphingomyelins or glycerophosphatidylcholines, were inversely associated with WHRadjfatmass in both sexes. Two of the sphingomyelins (d18:2/24:1, d18:1/24:2 and d18:2/24:2) were not associated with fat mass (p>0.50). Out of 91, 82 lipoprotein particles were associated with WHRadjfatmass in EpiHealth and 42 were replicated. Fourteen of those were associated in both sexes and belonged to very-large or large HDL particles, all being inversely associated with both WHRadjfatmass and fat mass. CONCLUSION Two sphingomyelins were inversely linked to body fat distribution in both men and women without being associated with fat mass, while very-large and large HDL particles were inversely associated with both fat distribution and fat mass. If these metabolites represent a link between an impaired fat distribution and cardiometabolic diseases remains to be established.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- * E-mail:
| | - Shafqat Ahmad
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sölve Elmståhl
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Tove Fall
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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Bergström G, Rosengren A, Bacsovics Brolin E, Brandberg J, Cederlund K, Engström G, Engvall JE, Eriksson MJ, Gonçalves I, Hagström E, James SK, Jernberg T, Lilja M, Magnusson M, Persson A, Persson M, Sandström A, Schmidt C, Skoglund Larsson L, Sundström J, Swahn E, Söderberg S, Torén K, Östgren CJ, Lampa E, Lind L. Body weight at age 20 and in midlife is more important than weight gain for coronary atherosclerosis: Results from SCAPIS. Atherosclerosis 2023; 373:46-54. [PMID: 36813601 DOI: 10.1016/j.atherosclerosis.2023.01.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/23/2023] [Accepted: 01/26/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND AIMS Elevated body weight in adolescence is associated with early cardiovascular disease, but whether this association is traceable to weight in early adulthood, weight in midlife or to weight gain is not known. The aim of this study is to assess the risk of midlife coronary atherosclerosis being associated with body weight at age 20, body weight in midlife and body weight change. METHODS We used data from 25,181 participants with no previous myocardial infarction or cardiac procedure in the Swedish CArdioPulmonary bioImage Study (SCAPIS, mean age 57 years, 51% women). Data on coronary atherosclerosis, self-reported body weight at age 20 and measured midlife weight were recorded together with potential confounders and mediators. Coronary atherosclerosis was assessed using coronary computed tomography angiography (CCTA) and expressed as segment involvement score (SIS). RESULTS The probability of having coronary atherosclerosis was markedly higher with increasing weight at age 20 and with mid-life weight (p < 0.001 for both sexes). However, weight increase from age 20 until mid-life was only modestly associated with coronary atherosclerosis. The association between weight gain and coronary atherosclerosis was mainly seen in men. However, no significant sex difference could be detected when adjusting for the 10-year delay in disease development in women. CONCLUSIONS Similar in men and women, weight at age 20 and weight in midlife are strongly related to coronary atherosclerosis while weight increase from age 20 until midlife is only modestly related to coronary atherosclerosis.
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Affiliation(s)
- Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Medicine Geriatrics and Emergency Medicine, Sahlgrenska University Hospital Östra Hospital, Gothenburg, Sweden
| | - Elin Bacsovics Brolin
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden; Department of Radiology, Capio S:t Göran Hospital, Stockholm, Sweden
| | - John Brandberg
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kerstin Cederlund
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Jan E Engvall
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Maria J Eriksson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden; Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
| | - Isabel Gonçalves
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden; Cardiovascular Research Translational Studies, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emil Hagström
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Stefan K James
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Lilja
- Department of Public Health and Clinical Medicine, Unit of Research, Education, and Development, Östersund Hospital, Umeå University, Umeå, Sweden
| | - Martin Magnusson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden; Department of Cardiology, Skåne University Hospital, Malmö, Sweden; Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden; Hypertension in Africa Research Team HART, North-West University, Potchefstroom, South Africa
| | - Anders Persson
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Radiology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Department of Clinical Sciences, Huddinge University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Margaretha Persson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden; Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Anette Sandström
- Heart Centre and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Caroline Schmidt
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Eva Swahn
- Department of Cardiology and Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kjell Torén
- Section of Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Carl Johan Östgren
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Erik Lampa
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
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Burgess S, Mason AM, Grant AJ, Slob EAW, Gkatzionis A, Zuber V, Patel A, Tian H, Liu C, Haynes WG, Hovingh GK, Knudsen LB, Whittaker JC, Gill D. Using genetic association data to guide drug discovery and development: Review of methods and applications. Am J Hum Genet 2023; 110:195-214. [PMID: 36736292 PMCID: PMC9943784 DOI: 10.1016/j.ajhg.2022.12.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Evidence on the validity of drug targets from randomized trials is reliable but typically expensive and slow to obtain. In contrast, evidence from conventional observational epidemiological studies is less reliable because of the potential for bias from confounding and reverse causation. Mendelian randomization is a quasi-experimental approach analogous to a randomized trial that exploits naturally occurring randomization in the transmission of genetic variants. In Mendelian randomization, genetic variants that can be regarded as proxies for an intervention on the proposed drug target are leveraged as instrumental variables to investigate potential effects on biomarkers and disease outcomes in large-scale observational datasets. This approach can be implemented rapidly for a range of drug targets to provide evidence on their effects and thus inform on their priority for further investigation. In this review, we present statistical methods and their applications to showcase the diverse opportunities for applying Mendelian randomization in guiding clinical development efforts, thus enabling interventions to target the right mechanism in the right population group at the right time. These methods can inform investigators on the mechanisms underlying drug effects, their related biomarkers, implications for the timing of interventions, and the population subgroups that stand to gain the most benefit. Most methods can be implemented with publicly available data on summarized genetic associations with traits and diseases, meaning that the only major limitations to their usage are the availability of appropriately powered studies for the exposure and outcome and the existence of a suitable genetic proxy for the proposed intervention.
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Affiliation(s)
- Stephen Burgess
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Amy M Mason
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Andrew J Grant
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Eric A W Slob
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Verena Zuber
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; UK Dementia Research Institute at Imperial College, Imperial College London, London, UK
| | - Ashish Patel
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Haodong Tian
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Cunhao Liu
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - William G Haynes
- Novo Nordisk Research Centre Oxford, Novo Nordisk, Oxford, UK; Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Global Chief Medical Office, Novo Nordisk, Copenhagen, Denmark
| | - Lotte Bjerre Knudsen
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
| | - John C Whittaker
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
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10
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Schell RC, Dow WH, Fernald LC, Bradshaw PT, Rehkopf DH. Does educational attainment modify the causal relationship between adiposity and cardiovascular disease? A Mendelian randomization study. SSM Popul Health 2023; 21:101351. [PMID: 36819121 PMCID: PMC9932564 DOI: 10.1016/j.ssmph.2023.101351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/19/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
A greater risk of cardiovascular disease is associated with low educational attainment and high adiposity. Despite the correlation between low educational attainment and high adiposity, whether educational attainment modifies the risk of CVD caused by high adiposity remains poorly understood. We investigated the effect of adiposity (body mass index [BMI] and waist-to-hip ratio adjusted for BMI [WHRadjBMI]) on incident CVD among individuals with varying education levels, using associational and one-sample Mendelian randomization (MR) survival analyses. Data were collected from 2006 to 2021, and sample sizes were 254,281 (27,511 CVD cases) for BMI and 253,968 (27,458 CVD cases) for WHRadjBMI. In the associational model, a standard deviation (SD) higher BMI was associated with 19.81 (95% CI: 18.55-21.06) additional cases of incident CVD per 10,000 person-years for individuals with a secondary education, versus 32.96 (95% CI: 28.75-37.17) for those without. When university degree served as the education variable, education group differences attenuated, with 18.26 (95% CI: 16.37-20.15) cases from a one SD higher BMI for those with a university degree versus 23.18 [95% CI: 21.56-24.72] for those without. For the MR model, an SD higher BMI resulted in 11.75 (95% CI: -0.84-24.38) and 29.79 (95% CI: 17.20-42.44) additional cases of incident CVD per 10,000 person-years for individuals with versus without a university degree. WHRadjBMI exhibited no effect differences by education. While the associational model showed evidence of educational attainment modifying the relationship between adiposity and incident CVD, it does not modify the association between adiposity and incident CVD in the MR models. This suggests either less education does not cause greater risk of incident CVD from high adiposity, or MR models cannot detect the effect difference. The associational point estimates exist within the MR models' confidence intervals in all BMI analyses, so we cannot rule out the effect sizes in the associational models.
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Affiliation(s)
- Robert C. Schell
- Division of Health Policy and Management, School of Public Health, University of California, Berkeley, USA
- Corresponding author. 2121 Berkeley Way, Berkeley, CA, 94704, USA.
| | - William H. Dow
- Division of Health Policy and Management, School of Public Health, University of California, Berkeley, USA
- Department of Demography, University of California, Berkeley, CA, USA
| | - Lia C.H. Fernald
- Division of Community Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Patrick T. Bradshaw
- Division of Epidemiology & Biostatistics, University of California, School of Public Health, Berkeley, Berkeley, CA, USA
| | - David H. Rehkopf
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
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11
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Lind L, Markstad H, Ahlström H, Angerås O, Brandberg J, Brunström M, Engström G, Engvall JE, Eriksson MJ, Eriksson M, Gottsäter A, Hagström E, Krachler B, Lampa E, Mannila M, Nilsson PM, Nyström FH, Persson A, Redfors B, Sandström A, Themudo R, Völz S, Ärnlöv J, Östgren CJ, Bergström G. Obesity is associated with coronary artery stenosis independently of metabolic risk factors: The population-based SCAPIS study. Atherosclerosis 2022; 362:1-10. [PMID: 36356325 DOI: 10.1016/j.atherosclerosis.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 10/03/2022] [Accepted: 10/13/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIMS Previous studies reported divergent results on whether metabolically healthy obesity is associated with increased coronary artery calcium and carotid plaques. We investigated this in a cross-sectional fashion in a large, well-defined, middle-aged population using coronary CT angiography (CCTA) and carotid ultrasound. METHODS In the SCAPIS study (50-65 years, 51% female), CCTA and carotid artery ultrasound were performed in 23,674 individuals without clinical atherosclerotic disease. These subjects were divided into six groups according to BMI (normal weight, overweight, obese) and the presence of metabolic syndrome (MetS) according to the NCEP consensus criteria. RESULTS The severity of coronary artery stenosis was increased in individuals with obesity without MetS compared to normal-weight individuals without MetS (OR 1.47, 95%CI 1.34-1.62; p < 0.0001), even after adjusting for non-HDL-cholesterol and several lifestyle factors. Such difference was not observed for the presence of carotid artery plaques (OR 0.94, 95%CI 0.87-1.02; p = 0.11). Obese or overweight individuals without any MetS criteria (except the waist criterion) showed significantly more pronounced stenosis in the coronary arteries as compared to the normal-weight individuals, while one criterion was needed to show increased plaque prevalence in the carotid arteries. High blood pressure was the most important single criterion for increased atherosclerosis in this respect. CONCLUSIONS Individuals with obesity without MetS showed increased severity of coronary artery stenosis, but no increased occurrence of carotid artery plaques compared to normal-weight individuals without MetS, further emphasizing that obesity is not a benign condition even in the absence of MetS.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
| | - Hanna Markstad
- Center for Medical Imaging and Physiology, Skåne University Hospital Lund University, Lund, Sweden; Experimental Cardiovascular Research, Clinical Research Center, Clinical Sciences, Lund University, Malmö, Sweden
| | - Håkan Ahlström
- Department of Surgical Sciences, Section of Radiology, Uppsala University, Uppsala, Sweden
| | - Oskar Angerås
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - John Brandberg
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden; Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mattias Brunström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Jan E Engvall
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Clinical Physiology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Maria J Eriksson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
| | | | - Anders Gottsäter
- Department of Medicine, Skåne University Hospital Malmö, Lund University, Lund, Sweden
| | - Emil Hagström
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Benno Krachler
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Umeå, Sweden
| | - Erik Lampa
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Maria Mannila
- Heart and Vascular Theme, Department of Cardiology and Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Fredrik H Nyström
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Anders Persson
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Radiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Björn Redfors
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Anette Sandström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Raquel Themudo
- Radiology Department, Karolinska University Hospital, Huddinge, Stockholm, Sweden; Division of Medical Imaging and Technology, Department of Clinical Sciences, Intervention and Technology at Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Völz
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Carl Johan Östgren
- CMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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12
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Effects of maternal controlled exercise on offspring adiposity and glucose tolerance. J Dev Orig Health Dis 2022; 13:455-462. [PMID: 34503602 PMCID: PMC8907328 DOI: 10.1017/s2040174421000489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
While metabolic disorders such as obesity and diabetes are costly and deadly to the current population, they are also extremely detrimental to the next generation. Much of the current literature focuses on the negative impact of poor maternal choices on offspring disease, while there is little work examining maternal behaviors that may improve offspring health. Research has shown that voluntary maternal exercise in mouse models improves metabolic function in offspring. In this study, we hypothesized that controlled maternal exercise in a mouse model will effect positive change on offspring obesity and glucose homeostasis. Female mice were separated into three groups: home cage, sedentary, and exercise. The sedentary home cage group was not removed from the home cage, while the sedentary wheel group was removed from the cage and placed in an immobile wheel apparatus. The exercise group was removed from the home cage and run on the same wheel apparatus but with the motor activated at 5-10 m/min for 1 h/d prior to and during pregnancy. Offspring were subjected to oral glucose tolerance testing and body composition analysis. There was no significant difference in offspring glucose tolerance or body composition as a consequence of the maternal exercise intervention compared to the sedentary wheel group. There were no marked negative consequences of the maternal controlled exercise intervention. Further research should clarify the potential advantages of the controlled exercise model and improve experimental techniques to facilitate translation of this research to human applications.
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13
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Fu L, Cheng H, Zhao X, Hou D, Xie X, Mi J. Distinct causal effects of body fat distribution on cardiometabolic traits among children: Findings from the BCAMS study. Nutr Metab Cardiovasc Dis 2022; 32:1753-1765. [PMID: 35599089 DOI: 10.1016/j.numecd.2022.03.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIMS Observational studies reveal that different body fat measures are associated with cardiometabolic disease with different effects. However, causality is not reflected by such observations. To explore and compare the causal relationships of general obesity (measured by body mass index (BMI)), adipose obesity (measured by fat mass percentage (FMP)) and central obesity (measured by waist-to-height ratio (WHtR)) with cardiometabolic traits among children. METHODS AND RESULTS We conducted one sample Mendelian randomization (MR) analysis in 3266 children from Beijing Children and Adolescents Metabolic Syndrome Study. Genetic instruments based on 28 SNPs were performed to explore and compare the causal associations of genetically BMI, FMP and WHtR with cardiometabolic traits. The genetic instruments were robustly correlated with observed BMI, FMP and WHtR. Each genetically 1-SD increment in BMI, FMP and WHtR were causally associated with increment in systolic blood pressure (SBP), diastolic blood pressure (DBP), log-transformed fasting plasma glucose (FPG), log-transformed HOMA-β, and decrease in log-transformed high-density lipoprotein cholesterol (HDL), respectively (all P < 0.05 after Bonferroni correction). The receiver operating characteristic curve indicated that BMI and FMP showed stronger effects on SBP, DBP, HOMA-β and HDL than WHtR (all P < 0.05). We also observed causal associations of BMI and FMP with log-transformed fasting insulin and HOMA-IR. CONCLUSIONS The MR analysis based on population-based cohort indicated a causal relationship of adiposity and body fat distribution with cardiometabolic traits. When compared with central obesity, general obesity and adipose obesity might own stronger effects on blood pressure and blood lipids among children.
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Affiliation(s)
- Liwan Fu
- Center for Non-communicable Disease Management, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Hong Cheng
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoyuan Zhao
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Dongqing Hou
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Xianghui Xie
- Capital Institute of Pediatrics, Beijing, China.
| | - Jie Mi
- Center for Non-communicable Disease Management, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Key Laboratory of Major Diseases in Children, Ministry of Education, China.
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14
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Li M, Zhao Y, Dai Q, Milne G, Long J, Cai Q, Chen Q, Zhang X, Lan Q, Rothman N, Gao YT, Shu XO, Zheng W, Yang G. Lipid peroxidation biomarkers associated with height and obesity measures in the opposite direction in women. Obesity (Silver Spring) 2022; 30:1257-1267. [PMID: 35471642 PMCID: PMC9556262 DOI: 10.1002/oby.23408] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/24/2022] [Accepted: 02/09/2022] [Indexed: 01/23/2023]
Abstract
OBJECTIVE This study aimed to investigate whether and how lipid peroxidation markers are associated with height and obesity measures. METHODS In two independent samples of women (Study 1: n = 1,005; Study 2: n = 1,158), systemic levels of lipid peroxidation were assessed by urinary markers F2 -isoprostanes (F2 -IsoPs) and its major metabolite (F2 -IsoP-M), with gas chromatography/negative ion chemical ionization mass spectrometry assays. Anthropometric parameters were directly measured and genetically estimated, and they were used in the primary analysis and in a Mendelian randomization analysis in relation to lipid peroxidation, respectively, with general linear models. RESULTS After adjusting for potential confounders, it was found that measured adult height was inversely associated with levels of F2 -IsoPs (β = -0.89, p < 0.001) and F2 -IsoP-M (β = -0.71, p = 0.003), whereas obesity measures were positively associated with F2 -IsoP-M (β = 1.81, p < 0.001 for BMI; and β = 0.77, p < 0.001 for waist circumference). Results were consistent between the two study samples. The opposite associations were further replicated when using genetically determined measures of height and obesity in the Mendelian randomization analysis. Moreover, analyses mutually adjusted for height and obesity measures suggested that these associations were independent of one another. CONCLUSIONS This study, for the first time, to our knowledge, reveals that a shared biological process (lipid peroxidation) is associated with both height and obesity measures but in the opposite direction.
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Affiliation(s)
- Mengjie Li
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yingya Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qi Dai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Ginger Milne
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qingxia Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Yu-Tang Gao
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
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15
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Wan EYF, Fung WT, Yu EYT, Cheng WHG, Chan KS, Wang Y, Chan EWY, Wong ICK, Lam CLK. Association of genetic variants related to combined exposure to higher BMI and waist-to-hip ratio on lifelong cardiovascular risk in UK Biobank. Public Health Nutr 2022; 26:1-9. [PMID: 35621080 DOI: 10.1017/s1368980022001276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study examines the individual and combined association of BMI and waist-to-hip ratio (WHR) with CVD risk using genetic scores of the obesity measurements as proxies. DESIGN A 2 × 2 factorial analysis approach was applied, with participants divided into four groups of lifetime exposure to low BMI and WHR, high BMI, high WHR, and high BMI and WHR based on weighted genetic risk scores. The difference in CVD risk across groups was evaluated using multivariable logistic regression. SETTING Cohort study. PARTICIPANTS A total of 408 003 participants were included from the prospective observational UK Biobank study. RESULTS A total of 58 429 CVD events were recorded. Compared to the low BMI and WHR genetic scores group, higher BMI or higher WHR genetic scores were associated with an increase in CVD risk (high WHR: OR, 1·07; 95 % CI (1·04, 1·10)); high BMI: OR, 1·12; 95 % CI (1·09, 1·16). A weak additive effect on CVD risk was found between BMI and WHR (high BMI and WHR: OR, 1·16; 95 % CI (1·12, 1·19)). Subgroup analysis showed similar patterns between different sex, age (<65, ≥65 years old), smoking status, Townsend deprivation index, fasting glucose level and medication uses, but lower systolic blood pressure was associated with higher CVD risk in obese participants. CONCLUSIONS High BMI and WHR were associated with increased CVD risk, and their effects are weakly additive. Even though there were overlapping of effect, both BMI and WHR are important in assessing the CVD risk in the general population.
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Affiliation(s)
- Eric Yuk Fai Wan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
| | - Wing Tung Fung
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Esther Yee Tak Yu
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Will Ho Gi Cheng
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kam Suen Chan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Cindy Lo Kuen Lam
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Family Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen, China
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16
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Martin S, Tyrrell J, Thomas EL, Bown MJ, Wood AR, Beaumont RN, Tsoi LC, Stuart PE, Elder JT, Law P, Houlston R, Kabrhel C, Papadimitriou N, Gunter MJ, Bull CJ, Bell JA, Vincent EE, Sattar N, Dunlop MG, Tomlinson IPM, Lindström S, Bell JD, Frayling TM, Yaghootkar H. Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation. eLife 2022; 11:e72452. [PMID: 35074047 PMCID: PMC8789289 DOI: 10.7554/elife.72452] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 12/21/2021] [Indexed: 12/13/2022] Open
Abstract
Background Some individuals living with obesity may be relatively metabolically healthy, whilst others suffer from multiple conditions that may be linked to adverse metabolic effects or other factors. The extent to which the adverse metabolic component of obesity contributes to disease compared to the non-metabolic components is often uncertain. We aimed to use Mendelian randomisation (MR) and specific genetic variants to separately test the causal roles of higher adiposity with and without its adverse metabolic effects on diseases. Methods We selected 37 chronic diseases associated with obesity and genetic variants associated with different aspects of excess weight. These genetic variants included those associated with metabolically 'favourable adiposity' (FA) and 'unfavourable adiposity' (UFA) that are both associated with higher adiposity but with opposite effects on metabolic risk. We used these variants and two sample MR to test the effects on the chronic diseases. Results MR identified two sets of diseases. First, 11 conditions where the metabolic effect of higher adiposity is the likely primary cause of the disease. Here, MR with the FA and UFA genetics showed opposing effects on risk of disease: coronary artery disease, peripheral artery disease, hypertension, stroke, type 2 diabetes, polycystic ovary syndrome, heart failure, atrial fibrillation, chronic kidney disease, renal cancer, and gout. Second, 9 conditions where the non-metabolic effects of excess weight (e.g. mechanical effect) are likely a cause. Here, MR with the FA genetics, despite leading to lower metabolic risk, and MR with the UFA genetics, both indicated higher disease risk: osteoarthritis, rheumatoid arthritis, osteoporosis, gastro-oesophageal reflux disease, gallstones, adult-onset asthma, psoriasis, deep vein thrombosis, and venous thromboembolism. Conclusions Our results assist in understanding the consequences of higher adiposity uncoupled from its adverse metabolic effects, including the risks to individuals with high body mass index who may be relatively metabolically healthy. Funding Diabetes UK, UK Medical Research Council, World Cancer Research Fund, National Cancer Institute.
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Affiliation(s)
- Susan Martin
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
| | - Jessica Tyrrell
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of WestminsterLondonUnited Kingdom
| | - Matthew J Bown
- Department of Cardiovascular Sciences, University of LeicesterLeicesterUnited Kingdom
- NIHR Leicester Biomedical Research CentreLeicesterUnited Kingdom
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
| | - Lam C Tsoi
- Department of Dermatology, University of MichiganAnn ArborUnited States
| | - Philip E Stuart
- Department of Dermatology, University of MichiganAnn ArborUnited States
| | - James T Elder
- Department of Dermatology, University of MichiganAnn ArborUnited States
- Ann Arbor Veterans Affairs HospitalAnn ArborUnited States
| | - Philip Law
- The Institute of Cancer ResearchLondonUnited Kingdom
| | | | - Christopher Kabrhel
- Department of Emergency Medicine, Massachusetts General HospitalBostonUnited States
- Department of Emergency Medicine, Harvard Medical SchoolBostonUnited States
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on CancerLyonFrance
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on CancerLyonFrance
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit at the University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical School, University of BristolBristolUnited Kingdom
- School of Cellular and Molecular Medicine, University of BristolBristolUnited Kingdom
| | - Joshua A Bell
- MRC Integrative Epidemiology Unit at the University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical School, University of BristolBristolUnited Kingdom
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit at the University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical School, University of BristolBristolUnited Kingdom
- School of Cellular and Molecular Medicine, University of BristolBristolUnited Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of GlasgowGlasgowUnited Kingdom
| | - Malcolm G Dunlop
- University of EdinburghEdinburghUnited Kingdom
- Western General HospitalEdinburghUnited Kingdom
| | - Ian PM Tomlinson
- Edinburgh Cancer Research Centre, IGMM, University of EdinburghEdinburghUnited Kingdom
| | - Sara Lindström
- Department of Epidemiology, University of WashingtonSeattleUnited States
- Division of Public Health Sciences, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | | | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of WestminsterLondonUnited Kingdom
| | - Timothy M Frayling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
| | - Hanieh Yaghootkar
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUnited Kingdom
- Research Centre for Optimal Health, School of Life Sciences, University of WestminsterLondonUnited Kingdom
- Centre for Inflammation Research and Translational Medicine (CIRTM), Department of Life Sciences, Brunel University LondonUxbridgeUnited Kingdom
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17
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Abstract
Cardiovascular diseases caused by atherosclerosis do not typically manifest before middle age; however, the disease process begins early in life. Preclinical atherosclerosis can be quantified with imaging methods in healthy populations long before clinical manifestations present. Cohort studies have shown that childhood exposure to risk factors, such as dyslipidaemia, elevated blood pressure and tobacco smoking, are associated with adult preclinical atherosclerotic phenotypes. Importantly, these long-term effects are substantially reduced if the individual becomes free from the risk factor by adulthood. As participants in the cohorts continue to age and clinical end points accrue, the strongest evidence linking exposure to risk factors in early life with cardiovascular outcomes has begun to emerge. Although science has deciphered the natural course of atherosclerosis, discovered its causal risk factors and developed effective means to intervene, we are still faced with an ongoing global pandemic of atherosclerotic diseases. In general, atherosclerosis goes undetected for too long, and preventive measures, if initiated at all, are inadequate and/or come too late. In this Review, we give an overview of the available literature suggesting the importance of initiating the prevention of atherosclerosis in early life and provide a summary of the major paediatric programmes for the prevention of atherosclerotic disease. We also highlight the limitations of current knowledge and indicate areas for future research.
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18
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Pehkonen J, Viinikainen J, Kari JT, Böckerman P, Lehtimäki T, Viikari J, Raitakari O. Birth weight, adult weight, and cardiovascular biomarkers: Evidence from the Cardiovascular Young Finns Study. Prev Med 2022; 154:106894. [PMID: 34801564 DOI: 10.1016/j.ypmed.2021.106894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/12/2021] [Accepted: 11/14/2021] [Indexed: 10/19/2022]
Abstract
This study quantifies the causal effect of birth weight on cardiovascular biomarkers in adulthood using the Cardiovascular Risk in Young Finns Study (YFS). We apply a multivariable Mendelian randomization (MVMR) method that provides a novel approach to improve inference in causal analysis based on a mediation framework. The results show that birth weight is linked to triglyceride levels (β = -0.294; 95% CI [-0.591, 0.003]) but not to low-density lipoprotein (LDL) cholesterol levels (β = 0.007; 95% CI [-0.168, 0.183]). The total effect of birth weight on triglyceride levels is partly offset by a mediation pathway linking birth weight to adult BMI (β = 0.111; 95% CI [-0.013, 0.234]). The negative total effect is consistent with the fetal programming hypothesis. The positive indirect effect via adult BMI highlights the persistence of body weight throughout a person's life and the adverse effects of high BMI on health. The results are consistent with previous findings that both low birth weight and weight gain increase health risks in adulthood.
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Affiliation(s)
- Jaakko Pehkonen
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland.
| | - Jutta Viinikainen
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Jaana T Kari
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Petri Böckerman
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland; Labour Institute for Economic Research, Helsinki, Finland; IZA, Bonn, Germany
| | - Terho Lehtimäki
- Department of Clinincal Chemistry, Tampere University, Finland; Fimlab Laboratoriot Oy Ltd, Tampere, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland, Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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19
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Balkhiyarova Z, Luciano R, Kaakinen M, Ulrich A, Shmeliov A, Bianchi M, Chioma L, Dallapiccola B, Prokopenko I, Manco M. Relationship between glucose homeostasis and obesity in early life-A study of Italian children and adolescents. Hum Mol Genet 2021; 31:816-826. [PMID: 34590674 PMCID: PMC8895752 DOI: 10.1093/hmg/ddab287] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES Epidemic obesity is the most important risk factor for prediabetes and type 2 diabetes (T2D) in youth as it is in adults. Obesity shares pathophysiological mechanisms with T2D and is likely to share part of the genetic background. We aimed to test if weighted genetic risk scores (GRSs) for T2D, fasting glucose (FG) and fasting insulin (FI) predict glycaemic traits and if there is a causal relationship between obesity and impaired glucose metabolism in children and adolescents. DESIGN AND PATIENTS Genotyping of 42 SNPs established by genome-wide association studies for T2D, FG and FI was performed in 1660 Italian youths aged between 2 and 19 years. We defined GRS for T2D, FG and FI and tested their effects on glycaemic traits, including FG, FI, indices of insulin resistance/beta cell function, and body mass index (BMI). We evaluated causal relationships between obesity and FG/FI using one-sample Mendelian Randomization analyses in both directions. RESULTS GRS-FG associated with FG (beta = 0.075 mmol/l, SE = 0.011, P = 1.58 × 10-11) and beta cell function (beta = -0.041, SE = 0.0090 P = 5.13 × 10-6). GRS-T2D also demonstrated an association with beta cell function (beta = -0.020, SE = 0.021 P = 0.030). We detected a causal effect of increased BMI on levels of FI in Italian youths (beta = 0.31 ln (pmol/l), 95%CI [0.078, 0.54], P = 0.0085), while there was no effect of FG/FI levels on BMI. CONCLUSION Our results demonstrate that the glycaemic and T2D risk genetic variants contribute to higher FG and FI levels and decreased beta cell function in children and adolescents. The causal effects of adiposity on increased insulin resistance are detectable from childhood age.
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Affiliation(s)
- Zhanna Balkhiyarova
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.,Institute of Biochemistry and Genetics, Ufa Federal Research Centre Russian Academy of Sciences, Ufa 450008, Russian Federation.,Bashkir State Medical University, Ufa 450054, Russian Federation
| | - Rosa Luciano
- Research Area for Multifactorial Disease, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy.,Department of Laboratory Medicine, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy
| | - Marika Kaakinen
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.,Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Anna Ulrich
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.,Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Aleksey Shmeliov
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Marzia Bianchi
- Research Area for Multifactorial Disease, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy
| | - Laura Chioma
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy
| | - Bruno Dallapiccola
- Genetics and Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy
| | - Inga Prokopenko
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.,Institute of Biochemistry and Genetics, Ufa Federal Research Centre Russian Academy of Sciences, Ufa 450008, Russian Federation.,UMR 8199 - EGID, Institut Pasteur de Lille, CNRS, University of Lille, Lille 59000, France
| | - Melania Manco
- Research Area for Multifactorial Disease, Bambino Gesù Children's Hospital, IRCCS, Rome 00146, Italy
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20
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Lind L, Ingelsson M, Sundstrom J, Ärnlöv J. Impact of risk factors for major cardiovascular diseases: a comparison of life-time observational and Mendelian randomisation findings. Open Heart 2021; 8:openhrt-2021-001735. [PMID: 34518286 PMCID: PMC8438838 DOI: 10.1136/openhrt-2021-001735] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/30/2021] [Indexed: 12/25/2022] Open
Abstract
Background This study compared the strength and causality of associations between major risk factors for cardiovascular disease (CVD) and the four major CVDs: myocardial infarction, ischaemic stroke, heart failure and atrial fibrillation. Both a long-term follow-up in an observational cohort and Mendelian randomisation (MR) were used for this aim. Methods In the Uppsala Longitudinal Study of Adult Men study, 2322 men, all aged 50 years, were assessed for CVD risk factors and then followed for four decades regarding incident CVDs. The two-sample MR part used public available Genome-Wide Association Study (GWAS) data. Results In multivariate analyses, systolic blood pressure was overall by far the most important risk factor, since it was related to all four CVDs, both in observational and MR analyses. Body mass index was the second most overall important risk factor, being linked to all four CVDs, except ischaemic stroke, both in observational and MR analyses. Smoking was an important risk factor for ischaemic stroke and heart failure, both in observational and MR analyses, while low-density lipoprotein-cholesterol mainly was related to myocardial infarction. Diabetes was mainly a causal risk factor for incident myocardial infarction and heart failure. Neither HDL-cholesterol nor triglycerides were of major importance as risk factors in these multivariable models. Conclusion By combining long-term observational data with genetic data, we show that the impact and causal role of specific established cardiovascular risk factors varies between different major CVDs. Systolic blood pressure was causally related to all four cardiovascular outcomes and was therefore, overall, the most important risk factor.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Johan Sundstrom
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- School of Health and Social Studies, Dalarna University, Falun, Sweden.,Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
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21
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Heianza Y, Zhou T, Sun D, Hu FB, Qi L. Healthful plant-based dietary patterns, genetic risk of obesity, and cardiovascular risk in the UK biobank study. Clin Nutr 2021; 40:4694-4701. [PMID: 34237696 DOI: 10.1016/j.clnu.2021.06.018] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/09/2021] [Accepted: 06/17/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND & AIMS People with a higher genetic risk for obesity are more likely to develop cardiovascular disease (CVD), and healthy plant-based dietary patterns may be associated with decreased risks of obesity and cardiovascular events. We investigated whether adherence to healthy plant-foods-rich dietary patterns might attenuate risks of obesity and related cardiovascular abnormalities for people at genetically higher risk of obesity. METHODS This study included 121,799 middle-aged adults in UK Biobank who were initially free of metabolic diseases and cancer. We calculated a healthful plant-based diet index (hPDI) based on 17 major food groups as well as a genetic risk score (GRS) for obesity consisting of body mass index (BMI)-associated variants. The incidence of cardiovascular events (myocardial infarction, MI, or stroke) was prospectively followed during a mean (SD) 5.1 (0.9) years. RESULTS We found significant interactions between GRS and hPDI on adiposity (Pinteraction <0.0001); adherence to hPDI was more strongly associated with lower levels of adiposity among participants with higher GRS than those with lower GRS. Further, we found a similar pattern of GRS-hPDI interactions on untreated hypertension (Pinteraction = 0.0036). When we tested GRS-hPDI interactions on cardiovascular events, adherence to hPDI was more strongly associated with a decreased risk of MI among people with high GRS (above median) than those with low GRS (Pinteraction = 0.006). Among participants with high GRS, high adherence to hPDI (the top tertile of hPDI) was associated with an HR 0.54 (95% CI: 0.39, 0.74) for MI, as compared to low adherence. CONCLUSIONS Adherence to healthy plant-based dietary patterns significantly attenuated risks of cardiovascular abnormalities for people at genetically higher risk of obesity. Our results support the precision medicine strategies considering genetics and dietary habits to modify cardiovascular health for people at higher risk of genetically determined obesity.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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22
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Bardugo A, Fishman B, Libruder C, Tanne D, Ram A, Hershkovitz Y, Zucker I, Furer A, Gilon R, Chodick G, Tiosano S, Derazne E, Tzur D, Afek A, Pinhas-Hamiel O, Bendor CD, Yaniv G, Rotem RS, Twig G. Body Mass Index in 1.9 Million Adolescents and Stroke in Young Adulthood. Stroke 2021; 52:2043-2052. [PMID: 33980044 DOI: 10.1161/strokeaha.120.033595] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Aya Bardugo
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.)
| | - Boris Fishman
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.).,Hypertension Unit, Internal Medicine D (B.F.), Sheba Medical Center, Ramat Gan, Israel.,The Dr. Pinchas Bornstein Talpiot Medical Leadership Program (B.F., G.Y., G.T.), Sheba Medical Center, Ramat Gan, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Carmit Libruder
- Israel Center for Disease Control, Ministry of Health, Ramat Gan (C.L., A.R., Y.H., I.Z.)
| | - David Tanne
- Rambam Health Care Campus and Rappaport Faculty of Medicine, Haifa, Israel (D. Tanne)
| | - Amit Ram
- Israel Center for Disease Control, Ministry of Health, Ramat Gan (C.L., A.R., Y.H., I.Z.)
| | - Yael Hershkovitz
- Israel Center for Disease Control, Ministry of Health, Ramat Gan (C.L., A.R., Y.H., I.Z.)
| | - Inbar Zucker
- Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.).,Israel Center for Disease Control, Ministry of Health, Ramat Gan (C.L., A.R., Y.H., I.Z.)
| | - Ariel Furer
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.)
| | - Roy Gilon
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.)
| | - Gabriel Chodick
- Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.).,Maccabitech (G.C.), Maccabi Healthcare Services, Tel Aviv, Israel
| | - Shmuel Tiosano
- Division of Cardiology, Leviev Heart and Vascular Center (S.T.), Sheba Medical Center, Ramat Gan, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Estela Derazne
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.).,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Dorit Tzur
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.)
| | - Arnon Afek
- Central Management (A.A.), Sheba Medical Center, Ramat Gan, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Orit Pinhas-Hamiel
- Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital (O.P.-H.).,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Cole Daniel Bendor
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.)
| | - Gal Yaniv
- The Dr. Pinchas Bornstein Talpiot Medical Leadership Program (B.F., G.Y., G.T.), Sheba Medical Center, Ramat Gan, Israel.,Department of Diagnostic Imaging (G.Y.).,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
| | - Ran Shmuel Rotem
- Kahn-Sagol-Maccabi Research and Innovation Institute (R.S.R.), Maccabi Healthcare Services, Tel Aviv, Israel.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA (R.S.R.)
| | - Gilad Twig
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan (A.B., B.F., A.F., R.G., E.D., D. Tzur, C.D.B., G.T.).,The Dr. Pinchas Bornstein Talpiot Medical Leadership Program (B.F., G.Y., G.T.), Sheba Medical Center, Ramat Gan, Israel.,Institute of Endocrinology (G.T.).,Sackler Faculty of Medicine, Tel Aviv University, Israel (B.F., I.Z., G.C., S.T., E.D., A.A., O.P.-H., G.Y., G.T.)
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23
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Lorbeer R, Rospleszcz S, Schlett CL, Rado SD, Thorand B, Meisinger C, Rathmann W, Heier M, Vasan RS, Bamberg F, Peters A, Lieb W. Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure. J Cardiovasc Magn Reson 2021; 23:2. [PMID: 33390171 PMCID: PMC7780638 DOI: 10.1186/s12968-020-00698-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 12/09/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The association of longitudinal trajectories of cardiovascular risk factors with cardiovascular magnetic resonance (CMR)-measures of cardiac structure and function in the community is not well known. Therefore we aimed to relate risk factor levels from different examination cycles to CMR-measures of the left ventricle (LV) and right ventricle in a population-based cohort. METHODS We assessed conventional cardiovascular disease risk factors in 349 participants (143 women; aged 25-59 years) at three examination cycles (Exam 1 [baseline], at Exam 2 [7-years follow-up] and at Exam 3 [14-years follow-up]) of the KORA S4 cohort and related single-point measurements of individual risk factors and longitudinal trajectories of these risk factors to various CMR-measures obtained at Exam 3. RESULTS High levels of diastolic blood pressure, waist circumference, and LDL-cholesterol at the individual exams were associated with worse cardiac function and structure. Trajectory clusters representing higher levels of the individual risk factors were associated with worse cardiac function and structure compared to low risk trajectory clusters of individual risk factors. Multivariable (combining different risk factors) trajectory clusters were associated with different cardiac parameters in a graded fashion (e.g. decrease of LV stroke volume for middle risk cluster β = - 4.91 ml/m2, 95% CI - 7.89; - 1.94, p < 0.01 and high risk cluster β = - 7.00 ml/m2, 95% CI - 10.73; - 3.28, p < 0.001 compared to the low risk cluster). The multivariable longitudinal trajectory clusters added significantly to explain variation in CMR traits beyond the multivariable risk profile obtained at Exam 3. CONCLUSIONS Cardiovascular disease risk factor levels, measured over a time period of 14 years, were associated with CMR-derived measures of cardiac structure and function. Longitudinal multivariable trajectory clusters explained a greater proportion of the inter-individual variation in cardiac traits than multiple risk factor assessed contemporaneous with the CMR exam.
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Affiliation(s)
- Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Pettenkoferstr. 8a, 80336, Munich, Germany.
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany.
| | - Susanne Rospleszcz
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute of Medical Information Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center, University Freiburg, Freiburg, Germany
| | - Sophia D Rado
- Department of Diagnostic and Interventional Radiology, Eberhard Karl University Tübingen, Tübingen, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, LMU Munich, UNIKA-T Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Düsseldorf, Germany
- Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
| | - Ramachandran S Vasan
- Preventive Medicine and Epidemiology Section, Boston University School of Medicine and Framingham Heart Study, Framingham, MA, USA
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center, University Freiburg, Freiburg, Germany
| | - Annette Peters
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute of Medical Information Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
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24
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Song Q, Huang T, Song J, Meng X, Li C, Wang Y, Wang H. Causal associations of body mass index and waist-to-hip ratio with cardiometabolic traits among Chinese children: A Mendelian randomization study. Nutr Metab Cardiovasc Dis 2020; 30:1554-1563. [PMID: 32636122 DOI: 10.1016/j.numecd.2020.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 04/07/2020] [Accepted: 05/08/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Body mass index (BMI) and waist-to-hip ratio (WHR) have been reported to be causally associated with cardiometabolic diseases in adults in European populations. However, this causality was less explored in East Asian populations and in children. Our study aimed to explore and compare the causal associations of general obesity (measured by BMI) and central obesity (measured by WHR) with cardiometabolic traits. METHODS AND RESULTS We performed a Mendelian randomization (MR) analysis in 2030 unrelated children from two independent case-control studies in Beijing, China. BMI-associated single nucleotide polymorphisms (SNPs) and WHR-SNPs identified by previous genome-wide association studies were used as genetic instruments to examine the casual associations of BMI and WHR with cardiometabolic traits, including glycemic traits, blood lipids, and blood pressure. Each 1-SD increase in BMI and WHR were significantly associated with 0.111 mmol/L and 0.110 mmol/L increase in log-transformed fasting insulin (FINS), 0.049 and 0.060 increase in log-transformed HOMA-β, 0.112 and 0.108 increase in log-transformed HOMA-IR, 0.009 mmol/L and 0.015 mmol/L increase in log-transformed triglyceride, and 15.527 mmHg and 7.277 mmHg increase in systolic blood pressure, respectively (all P < 0.05). The receiver operating characteristic curves showed that WHR had a stronger effect on FINS, HOMA-β, HOMA-IR, and triglyceride than BMI (all P < 0.05). CONCLUSIONS Using the MR method, we found that the genetic predisposition to higher BMI or WHR was associated with altered cardiometabolic traits in Chinese children. When compared with general obesity, central obesity might have stronger effects on glycemic traits and blood lipids among children.
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Affiliation(s)
- Qiying Song
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Jieyun Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Xiangrui Meng
- Center for Global Health Research, Usher Institute of Population and Health Sciences and Informatics, University of Edinburgh, Scotland, UK
| | - Chenxiong Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yan Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
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25
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Verkouter I, de Mutsert R, Smit RAJ, Trompet S, Rosendaal FR, van Heemst D, Willems van Dijk K, Noordam R. The contribution of tissue-grouped BMI-associated gene sets to cardiometabolic-disease risk: a Mendelian randomization study. Int J Epidemiol 2020; 49:1246-1256. [PMID: 32500151 PMCID: PMC7660142 DOI: 10.1093/ije/dyaa070] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2020] [Indexed: 11/30/2022] Open
Abstract
Background Body mass index (BMI)-associated loci are used to explore the effects of obesity using Mendelian randomization (MR), but the contribution of individual tissues to risks remains unknown. We aimed to identify tissue-grouped pathways of BMI-associated loci and relate these to cardiometabolic disease using MR analyses. Methods Using Genotype-Tissue Expression (GTEx) data, we performed overrepresentation tests to identify tissue-grouped gene sets based on mRNA-expression profiles from 634 previously published BMI-associated loci. We conducted two-sample MR with inverse-variance-weighted methods, to examine associations between tissue-grouped BMI-associated genetic instruments and type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD), with use of summary-level data from published genome-wide association studies (T2DM: 74 124 cases, 824 006 controls; CAD: 60 801 cases, 123 504 controls). Additionally, we performed MR analyses on T2DM and CAD using randomly sampled sets of 100 or 200 BMI-associated genetic variants. Results We identified 17 partly overlapping tissue-grouped gene sets, of which 12 were brain areas, where BMI-associated genes were differentially expressed. In tissue-grouped MR analyses, all gene sets were similarly associated with increased risks of T2DM and CAD. MR analyses with randomly sampled genetic variants on T2DM and CAD resulted in a distribution of effect estimates similar to tissue-grouped gene sets. Conclusions Overrepresentation tests revealed differential expression of BMI-associated genes in 17 different tissues. However, with our biology-based approach using tissue-grouped MR analyses, we did not identify different risks of T2DM or CAD for the BMI-associated gene sets, which was reflected by similar effect estimates obtained by randomly sampled gene sets.
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Affiliation(s)
- Inge Verkouter
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Roelof A J Smit
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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26
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Hu X, Zhuang XD, Mei WY, Liu G, Du ZM, Liao XX, Li Y. Exploring the causal pathway from body mass index to coronary heart disease: a network Mendelian randomization study. Ther Adv Chronic Dis 2020; 11:2040622320909040. [PMID: 32523662 PMCID: PMC7257848 DOI: 10.1177/2040622320909040] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 01/06/2020] [Indexed: 12/20/2022] Open
Abstract
Background: We applied a network Mendelian randomization (MR) framework to determine the causal association between body mass index (BMI) and coronary heart disease (CHD) and explored whether glycated hemoglobin (HbA1c) and lipid parameters (total cholesterol, TC; low-density lipoprotein cholesterol, LDL; high-density lipoprotein cholesterol, HDL; triglycerides, TG) serve as causal mediators from BMI to CHD by integrating summary-level genome-wide association study data. Methods: Network MR analysis, an approach using genetic variants as the instrumental variables for both the exposure and mediator to infer causality was performed. Summary statistics from the GIANT consortium were used (n = 152,893) for BMI, CARDIoGRAMplusC4D consortium data were used (n = 184,305) for CHD, Global Lipids Genetics Consortium data were used (n = 108,363) for TC, LDL, HDL and TG, and MAGIC consortia data were used (n = 108,363) for HbA1c. Results: The inverse-variance-weighted-method estimate indicated that the odds ratio (95% confidence interval) for CHD was 1.562 (1.391–1.753) per 1 standard deviation (kg/m2) increase in BMI. Results were consistent in MR Egger method and weighted-median methods. MR estimate indicated that BMI was positively associated with HbA1c and TG, and negatively associated with HDL, but was not associated with TC or LDL. Moreover, HbA1c, TC, LDL, and TG were positively associated with CHD, yet there was no causal association between HDL and CHD. HbA1c was positively associated with TC, LDL, and HDL, but was not associated with TG. Conclusions: Higher BMI conferred an increased risk of CHD, which was partially mediated by HbA1c and lipid parameters. HbA1c and TG might be the main mediators in the link from BMI to CHD.
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Affiliation(s)
- Xun Hu
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Xiao-Dong Zhuang
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Wei-Yi Mei
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Gang Liu
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Zhi-Min Du
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Xin-Xue Liao
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Yi Li
- Cardiology Department, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, PR China
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27
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Feng YS, Tan ZX, Wang MM, Xing Y, Dong F, Zhang F. Inhibition of NLRP3 Inflammasome: A Prospective Target for the Treatment of Ischemic Stroke. Front Cell Neurosci 2020; 14:155. [PMID: 32581721 PMCID: PMC7283578 DOI: 10.3389/fncel.2020.00155] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 05/11/2020] [Indexed: 12/11/2022] Open
Abstract
Stroke is one of the major devastating diseases with no effective medical therapeutics. Because of the high rate of disability and mortality among stroke patients, new treatments are urgently required to decrease brain damage following a stroke. In recent years, the inflammasome is a novel breakthrough point that plays an important role in the stroke, and the inhibition of inflammasome may be an effective method for stroke treatment. Briefly, inflammasome is a multi-protein complex that causes activation of caspase-1 and subsequent production of pro-inflammatory factors including interleukin (IL)-18 and IL-1β. Among them, the NLRP3 inflammasome is the most typical inflammasome, which can detect cell damage and mediate inflammatory response to tissue damage in ischemic stroke. The NLRP3 inflammasome has become a key mediator of post-ischemic inflammation, leading to a cascade of inflammatory reactions and cell death eventually. Thus, NLRP3 inflammasome is an ideal therapeutic target due to its important role in the inflammatory response after ischemic stroke. In this mini review article, we will summarize the structure, assembly, and regulation of NLRP3 inflammasome, the role of NLRP3 inflammasome in ischemic stroke, and several treatments targeting NLRP3 inflammasome in ischemic stroke. The further understanding of the mechanism of NLRP3 inflammasome in patients with ischemic stroke will provide novel targets for the treatment of cerebral ischemic stroke patients.
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Affiliation(s)
- Ya-Shuo Feng
- Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zi-Xuan Tan
- Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Man-Man Wang
- Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ying Xing
- Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fang Dong
- Department of Clinical Laboratory Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Feng Zhang
- Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Provincial Orthopedic Biomechanics Key Laboratory, The Third Hospital of Hebei Medical University, Shijiazhuang, China
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28
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Adams B, Jacocks L, Guo H. Higher BMI is linked to an increased risk of heart attacks in European adults: a Mendelian randomisation study. BMC Cardiovasc Disord 2020; 20:258. [PMID: 32471361 PMCID: PMC7260786 DOI: 10.1186/s12872-020-01542-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 05/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND BMI has been implicated as a risk factor for heart disease as a whole in multiple studies. Heart attack is one of the common complications of this disease. The aim of this study is to explore if elevated level of BMI causes an increase in the risk of heart attacks. METHODS We used two Mendelian randomisation (MR) methods: inverse variance weighted estimation and robust adjusted profile score (RAPS) on the basis of summary data of adulthood BMI from Genetic Investigation of Anthropometric Traits consortium and heart attack data from the UK Biobank. BMI associated single nucleotide polymorphisms (SNPs) were used as instrumental variables. RESULTS Seventy-two independent SNPs were associated with BMI (P < 5 × 10- 8). Using these SNPs as instruments, BMI was found to be causally associated with heart attacks in inverse variance weighted MR analysis. The risk of heart attacks increased by 0.8% per 1-SD (or 4.5 kg/m2) increase in BMI (OR = 1.008 with 95% CI (1.003, 1.012), P = 0.001). RAPS provided concordant results (OR = 1.007 with 95% CI (1.002, 1.012), P = 0.004). CONCLUSIONS This current study is the first to use MR to investigate causal relationship between BMI and heart attacks. Our findings suggest that high level of BMI may cause increased risk of heart attacks.
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Affiliation(s)
- Benjamin Adams
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Medicine, Biology and Health, The University of Manchester, Manchester, UK
| | - Lauren Jacocks
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Medicine, Biology and Health, The University of Manchester, Manchester, UK
| | - Hui Guo
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Medicine, Biology and Health, The University of Manchester, Manchester, UK.
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29
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Proteomic profiles before and during weight loss: Results from randomized trial of dietary intervention. Sci Rep 2020; 10:7913. [PMID: 32404980 PMCID: PMC7220904 DOI: 10.1038/s41598-020-64636-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 04/02/2020] [Indexed: 12/15/2022] Open
Abstract
Inflammatory and cardiovascular biomarkers have been associated with obesity, but little is known about how they change upon dietary intervention and concomitant weight loss. Further, protein biomarkers might be useful for predicting weight loss in overweight and obese individuals. We performed secondary analyses in the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) randomized intervention trial that included healthy 609 adults (18–50 years old) with BMI 28–40 kg/m2, to evaluate associations between circulating protein biomarkers and BMI at baseline, during a weight loss diet intervention, and to assess predictive potential of baseline blood proteins on weight loss. We analyzed 263 plasma proteins at baseline and 6 months into the intervention using the Olink Proteomics CVD II, CVD III and Inflammation arrays. BMI was assessed at baseline, after 3 and 6 months of dietary intervention. At baseline, 102 of the examined inflammatory and cardiovascular biomarkers were associated with BMI (>90% with successful replication in 1,584 overweight/obese individuals from a community-based cohort study) and 130 tracked with weight loss shedding light into the pathophysiology of obesity. However, out of 263 proteins analyzed at baseline, only fibroblast growth factor 21 (FGF-21) predicted weight loss, and none helped individualize dietary assignment.
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30
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Zhao Q, Chen Y, Wang J, Small DS. Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization. Int J Epidemiol 2020; 48:1478-1492. [PMID: 31298269 DOI: 10.1093/ije/dyz142] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2019] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Summary-data Mendelian randomization (MR) has become a popular research design to estimate the causal effect of risk exposures. With the sample size of GWAS continuing to increase, it is now possible to use genetic instruments that are only weakly associated with the exposure. DEVELOPMENT We propose a three-sample genome-wide design where typically 1000 independent genetic instruments across the whole genome are used. We develop an empirical partially Bayes statistical analysis approach where instruments are weighted according to their strength; thus weak instruments bring less variation to the estimator. The estimator is highly efficient with many weak genetic instruments and is robust to balanced and/or sparse pleiotropy. APPLICATION We apply our method to estimate the causal effect of body mass index (BMI) and major blood lipids on cardiovascular disease outcomes, and obtain substantially shorter confidence intervals (CIs). In particular, the estimated causal odds ratio of BMI on ischaemic stroke is 1.19 (95% CI: 1.07-1.32, P-value <0.001); the estimated causal odds ratio of high-density lipoprotein cholesterol (HDL-C) on coronary artery disease (CAD) is 0.78 (95% CI: 0.73-0.84, P-value <0.001). However, the estimated effect of HDL-C attenuates and become statistically non-significant when we only use strong instruments. CONCLUSIONS A genome-wide design can greatly improve the statistical power of MR studies. Robust statistical methods may alleviate but not solve the problem of horizontal pleiotropy. Our empirical results suggest that the relationship between HDL-C and CAD is heterogeneous, and it may be too soon to completely dismiss the HDL hypothesis.
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Affiliation(s)
- Qingyuan Zhao
- Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Yang Chen
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
| | - Jingshu Wang
- Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Dylan S Small
- Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, PA, USA
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31
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Body mass index and risk of infections: a Mendelian randomization study of 101,447 individuals. Eur J Epidemiol 2020; 35:347-354. [DOI: 10.1007/s10654-020-00630-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 04/07/2020] [Indexed: 01/22/2023]
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32
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Foulkes AS, Balasubramanian R, Qian J, Reilly MP. Non-random sampling leads to biased estimates of transcriptome association. Sci Rep 2020; 10:6193. [PMID: 32277087 PMCID: PMC7148323 DOI: 10.1038/s41598-020-62575-x] [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] [Received: 07/31/2019] [Accepted: 03/11/2020] [Indexed: 12/01/2022] Open
Abstract
Integration of independent data resources across -omics platforms offers transformative opportunity for novel clinical and biological discoveries. However, application of emerging analytic methods in the context of selection bias represents a noteworthy and pervasive challenge. We hypothesize that combining differentially selected samples for integrated transcriptome analysis will lead to bias in the estimated association between predicted expression and the trait. Our results are based on in silico investigations and a case example focused on body mass index across four well-described cohorts apparently derived from markedly different populations. Our findings suggest that integrative analysis can lead to substantial relative bias in the estimate of association between predicted expression and the trait. The average estimate of association ranged from 51.3% less than to 96.7% greater than the true value for the biased sampling scenarios considered, while the average error was - 2.7% for the unbiased scenario. The corresponding 95% confidence interval coverage rate ranged from 46.4% to 69.5% under biased sampling, and was equal to 75% for the unbiased scenario. Inverse probability weighting with observed and estimated weights is applied as one corrective measure and appears to reduce the bias and improve coverage. These results highlight a critical need to address selection bias in integrative analysis and to use caution in interpreting findings in the presence of different sampling mechanisms between groups.
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Affiliation(s)
- A S Foulkes
- Massachusetts General Hospital, Harvard Medical School, Department of Medicine, Biostatistics, Boston, MA, 02114, USA.
| | - R Balasubramanian
- University of Massachusetts, Department of Biostatistics and Epidemiology, Amherst, MA, 01003, USA
| | - J Qian
- University of Massachusetts, Department of Biostatistics and Epidemiology, Amherst, MA, 01003, USA
| | - M P Reilly
- Columbia University, Cardiology Division, Department of Medicine and the Irving Institute for Clinical and Translational Sciences, New York, NY, 10032, USA
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33
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Gearon E, Backholer K, Lal A, Nusselder W, Peeters A. The case for action on socioeconomic differences in overweight and obesity among Australian adults: modelling the disease burden and healthcare costs. Aust N Z J Public Health 2020; 44:121-128. [PMID: 32190950 DOI: 10.1111/1753-6405.12970] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 12/01/2019] [Accepted: 12/01/2019] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE We aimed to quantify the extent to which socioeconomic differences in body mass index (BMI) drive avoidable deaths, incident disease cases and healthcare costs. METHODS We used population attributable fractions to quantify the annual burden of disease attributable to socioeconomic differences in BMI for Australian adults aged 20 to <85 years in 2016, stratified by quintiles of an area-level indicator of socioeconomic disadvantage (SocioEconomic Index For Areas Indicator of Relative Socioeconomic Disadvantage; SEIFA) and BMI (normal weight, overweight, obese). We estimated direct healthcare costs using annual estimates per person per BMI category. RESULTS We attributed $AU1.06 billion in direct healthcare costs to socioeconomic differences in BMI in 2016. The greatest number (proportion) of cases and deaths attributable to socioeconomic differences in BMI was observed for type 2 diabetes among women (8,602 total cases [16%], with 3,471 cases [22%] in the most disadvantaged quintile [SEIFA 1]) and all-cause mortality among men (2027 total deaths [4%], with 815 deaths [6%] in SEIFA 1). CONCLUSIONS Socioeconomic differences in BMI substantially contribute to avoidable deaths, disease cases and direct healthcare costs in Australia. Implications for public health: Population-level policies to reduce socioeconomic differences in overweight and obesity must be identified and implemented.
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Affiliation(s)
- Emma Gearon
- Global Obesity Centre (GLOBE), Deakin University, Victoria.,School of Public Health and Preventive Medicine, Monash University, Victoria
| | - Kathryn Backholer
- Global Obesity Centre (GLOBE), Deakin University, Victoria.,School of Public Health and Preventive Medicine, Monash University, Victoria
| | - Anita Lal
- Deakin Health Economics, Centre for Population Health Research, Deakin University, Victoria
| | - Wilma Nusselder
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Anna Peeters
- Global Obesity Centre (GLOBE), Deakin University, Victoria.,School of Public Health and Preventive Medicine, Monash University, Victoria
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34
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Mosli HH, Kutbi HA, Alhasan AH, Mosli RH. Understanding the Interrelationship between Education, Income, and Obesity among Adults in Saudi Arabia. Obes Facts 2020; 13:77-85. [PMID: 31955158 PMCID: PMC7098293 DOI: 10.1159/000505246] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 12/02/2019] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To examine the association of sociodemographic variables with the odds of being obese among adults in Saudi Arabia, and to examine whether or not the association between the educational level and the odds of being obese among adults in Saudi Arabia is modified by the income level. METHODS A total of 3,925 participants were recruited for this cross--sectional study. Sociodemographic and anthropometric data were collected using standardized procedures. Unadjusted and adjusted logistic regression models were examined, with a dichotomous obesity status variable as the outcome. Furthermore, an interaction term for income level with educational level was tested and appeared significant. Thus, additional regression models were run in order to examine the association between educational level and obesity status separately among the low- and higher-income groups. RESULTS Compared to participants with a college degree or higher, illiterate participants and those with an elementary education had higher odds of obesity (OR: 2.76, 95% CI: 1.81-4.22, and OR: 2.68, 95% CI: 1.89-3.82, respectively). However, participants with a low income had lower odds than participants who had a higher income (OR: 0.84, 95% CI: 0.70-0.99). Examining the association between educational level and obesity while stratifying by income revealed that a negative association between education and obesity exists among both income groups. However, the magnitude of the ORs was higher among participants with higher income, suggesting a stronger association between education and obesity among wealthier individuals. CONCLUSION Individuals in the highest income bracket with lower levels of education may have greater odds of obesity. Targeting them in intervention programs is warranted.
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Affiliation(s)
- Hala H Mosli
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia,
| | - Hebah A Kutbi
- Clinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ahmed H Alhasan
- College of Medicine, University of Jeddah, Jeddah, Saudi Arabia
| | - Rana H Mosli
- Clinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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Larsson SC, Bäck M, Rees JMB, Mason AM, Burgess S. Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study. Eur Heart J 2020; 41:221-226. [PMID: 31195408 PMCID: PMC6945523 DOI: 10.1093/eurheartj/ehz388] [Citation(s) in RCA: 222] [Impact Index Per Article: 55.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 12/11/2018] [Accepted: 05/20/2019] [Indexed: 12/16/2022] Open
Abstract
AIMS The causal role of adiposity for several cardiovascular diseases (CVDs) is unclear. Our primary aim was to apply the Mendelian randomization design to investigate the associations of body mass index (BMI) with 13 CVDs and arterial hypertension. We also assessed the roles of fat mass and fat-free mass on the same outcomes. METHODS AND RESULTS Single-nucleotide polymorphisms associated with BMI and fat mass and fat-free mass indices were used as instrumental variables to estimate the associations with the cardiovascular conditions among 367 703 UK Biobank participants. After correcting for multiple testing, genetically predicted BMI was significantly positively associated with eight outcomes, including and with decreasing magnitude of association: aortic valve stenosis, heart failure, deep vein thrombosis, arterial hypertension, peripheral artery disease, coronary artery disease, atrial fibrillation, and pulmonary embolism. The odds ratio (OR) per 1 kg/m2 increase in BMI ranged from 1.06 [95% confidence interval (CI) 1.02-1.11; P = 2.6 × 10-3] for pulmonary embolism to 1.13 (95% CI 1.05-1.21; P = 1.2 × 10-3) for aortic valve stenosis. There was suggestive evidence of positive associations of genetically predicted fat mass index with nine outcomes (P < 0.05). The strongest magnitude of association was with aortic valve stenosis (OR per 1 kg/m2 increase in fat mass index 1.46, 95% CI 1.13-1.88; P = 3.9 × 10-3). There was suggestive evidence of inverse associations of fat-free mass index with atrial fibrillation, ischaemic stroke, and abdominal aortic aneurysm. CONCLUSION This study provides evidence that higher BMI and particularly fat mass index are associated with increased risk of aortic valve stenosis and most other cardiovascular conditions.
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Affiliation(s)
- Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-17177 Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Magnus Bäck
- Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Heart and Vascular Theme – Division of Valvular and Coronary Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Jessica M B Rees
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Edinburgh Clinical Trials Unit, Usher, Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Amy M Mason
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, UK
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36
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Spiller W, Jung KJ, Lee JY, Jee SH. Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses. Korean Circ J 2019; 50:91-111. [PMID: 31845553 PMCID: PMC6974657 DOI: 10.4070/kcj.2019.0293] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 09/23/2019] [Indexed: 11/11/2022] Open
Abstract
Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
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Affiliation(s)
- Wes Spiller
- Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Ji Young Lee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
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37
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Kentistou KA, Wilson JF, Joshi PK, Morton NM. The genetic underpinnings of obesity. CURRENT OPINION IN PHYSIOLOGY 2019. [DOI: 10.1016/j.cophys.2019.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Di Pino A, DeFronzo RA. Insulin Resistance and Atherosclerosis: Implications for Insulin-Sensitizing Agents. Endocr Rev 2019; 40:1447-1467. [PMID: 31050706 PMCID: PMC7445419 DOI: 10.1210/er.2018-00141] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/18/2018] [Indexed: 12/12/2022]
Abstract
Patients with type 2 diabetes mellitus (T2DM) are at high risk for macrovascular complications, which represent the major cause of mortality. Despite effective treatment of established cardiovascular (CV) risk factors (dyslipidemia, hypertension, procoagulant state), there remains a significant amount of unexplained CV risk. Insulin resistance is associated with a cluster of cardiometabolic risk factors known collectively as the insulin resistance (metabolic) syndrome (IRS). Considerable evidence, reviewed herein, suggests that insulin resistance and the IRS contribute to this unexplained CV risk in patients with T2DM. Accordingly, CV outcome trials with pioglitazone have demonstrated that this insulin-sensitizing thiazolidinedione reduces CV events in high-risk patients with T2DM. In this review the roles of insulin resistance and the IRS in the development of atherosclerotic CV disease and the impact of the insulin-sensitizing agents and of other antihyperglycemic medications on CV outcomes are discussed.
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Affiliation(s)
- Antonino Di Pino
- Diabetes Division, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas
| | - Ralph A DeFronzo
- Diabetes Division, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas
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Langdon RJ, Richmond RC, Hemani G, Zheng J, Wade KH, Carreras-Torres R, Johansson M, Brennan P, Wootton RE, Munafo MR, Smith GD, Relton CL, Vincent EE, Martin RM, Haycock P. A Phenome-Wide Mendelian Randomization Study of Pancreatic Cancer Using Summary Genetic Data. Cancer Epidemiol Biomarkers Prev 2019; 28:2070-2078. [PMID: 31315910 DOI: 10.1158/1055-9965.epi-19-0036] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/29/2019] [Accepted: 07/10/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The 5-year mortality rate for pancreatic cancer is among the highest of all cancers. Greater understanding of underlying causes could inform population-wide intervention strategies for prevention. Summary genetic data from genome-wide association studies (GWAS) have become available for thousands of phenotypes. These data can be exploited in Mendelian randomization (MR) phenome-wide association studies (PheWAS) to efficiently screen the phenome for potential determinants of disease risk. METHODS We conducted an MR-PheWAS of pancreatic cancer using 486 phenotypes, proxied by 9,124 genetic variants, and summary genetic data from a GWAS of pancreatic cancer (7,110 cancer cases, 7,264 controls). ORs and 95% confidence intervals per 1 SD increase in each phenotype were generated. RESULTS We found evidence that previously reported risk factors of body mass index (BMI; 1.46; 1.20-1.78) and hip circumference (1.42; 1.21-1.67) were associated with pancreatic cancer. We also found evidence of novel associations with metabolites that have not previously been implicated in pancreatic cancer: ADpSGEGDFXAEGGGVR*, a fibrinogen-cleavage peptide (1.60; 1.31-1.95), and O-sulfo-l-tyrosine (0.58; 0.46-0.74). An inverse association was also observed with lung adenocarcinoma (0.63; 0.54-0.74). CONCLUSIONS Markers of adiposity (BMI and hip circumference) are potential intervention targets for pancreatic cancer prevention. Further clarification of the causal relevance of the fibrinogen-cleavage peptides and O-sulfo-l-tyrosine in pancreatic cancer etiology is required, as is the basis of our observed association with lung adenocarcinoma. IMPACT For pancreatic cancer, MR-PheWAS can augment existing risk factor knowledge and generate novel hypotheses to investigate.
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Affiliation(s)
- Ryan J Langdon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Robert Carreras-Torres
- Biomarkers and Susceptibility Unit, IDIBELL-Bellvitge Biomedical Research Institute, Barcelona, Spain
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer (IARC), Lyon, France
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer (IARC), Lyon, France
| | - Robyn E Wootton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
- UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, United Kingdom
| | - Marcus R Munafo
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
- UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Philip Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
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Association of longitudinal risk profile trajectory clusters with adipose tissue depots measured by magnetic resonance imaging. Sci Rep 2019; 9:16972. [PMID: 31740739 PMCID: PMC6861315 DOI: 10.1038/s41598-019-53546-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 10/31/2019] [Indexed: 12/20/2022] Open
Abstract
The objective of the study was to identify associations of longitudinal trajectories of traditional cardiometabolic risk factors with abdominal and ectopic adipose tissue depots measured by magnetic resonance imaging (MRI). We measured total abdominal, visceral, and subcutaneous adipose tissue in liter and intrahepatic, intrapancreatic and renal sinus fat as fat fractions by MRI in 325 individuals free of cardiovascular disease at Exam 3 of a population-based cohort. We related these MRI measurements at Exam 3 to longitudinal risk profile trajectory clusters, based on risk factor measurements from Exam 3, Exam 2 (seven years prior to MRI) and Exam 1 (14 years prior to MRI). Based on the levels and longitudinal trajectories of several risk factors (blood pressure, lipid profile, anthropometric measurements, HbA1c), we identified three different trajectory clusters. These clusters displayed a graded association with all adipose tissue traits after adjustment for potential confounders (e.g. visceral adipose tissue: βClusterII = 1.30 l, 95%-CI:[0.84 l;1.75 l], βClusterIII = 3.32 l[2.74 l;3.90 l]; intrahepatic: EstimateClusterII = 1.54[1.27,1.86], EstimateClusterIII = 2.48[1.93,3.16]. Associations remained statistically significant after additional adjustment for the risk factor levels at Exam 1 or Exam 3, respectively. Trajectory clusters provided additional information in explaining variation in the different fat compartments beyond risk factor profiles obtained at individual exams. In conclusion, sustained high risk factor levels and unfavorable trajectories are associated with high levels of adipose tissue; however, the association with cardiometabolic risk factors varies substantially between different ectopic adipose tissues. Trajectory clusters, covering longitudinal risk profiles, provide additional information beyond single-point risk profiles. This emphasizes the need to incorporate longitudinal information in cardiometabolic risk estimation.
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Wang Y, Zhang Y, Ma Q, Wang C, Xu Y, Sun H, Ma Y. Determination of Clinical Cut-Off Values for Serum Cystatin C Levels to Predict Ischemic Stroke Risk. J Stroke Cerebrovasc Dis 2019; 28:104345. [DOI: 10.1016/j.jstrokecerebrovasdis.2019.104345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 07/29/2019] [Accepted: 08/09/2019] [Indexed: 12/15/2022] Open
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Banack HR, Bea JW, Kaufman JS, Stokes A, Kroenke CH, Stefanick ML, Beresford SA, Bird CE, Garcia L, Wallace R, Wild RA, Caan B, Wactawski-Wende J. The Effects of Reverse Causality and Selective Attrition on the Relationship Between Body Mass Index and Mortality in Postmenopausal Women. Am J Epidemiol 2019; 188:1838-1848. [PMID: 31274146 DOI: 10.1093/aje/kwz160] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 06/25/2019] [Accepted: 06/26/2019] [Indexed: 12/12/2022] Open
Abstract
Concerns about reverse causality and selection bias complicate the interpretation of studies of body mass index (BMI, calculated as weight (kg)/height (m)2) and mortality in older adults. The objective of this study was to investigate methodological explanations for the apparent attenuation of obesity-related risks in older adults. We used data from 68,132 participants in the Women's Health Initiative (WHI) clinical trial for this analysis. All of the participants were postmenopausal women aged 50-79 years at baseline (1993-1998). To examine reverse causality and selective attrition, we compared rate ratios from inverse probability of treatment- and censoring-weighted Poisson marginal structural models with results from an unweighted adjusted Poisson regression model. The estimated mortality rate ratios and 95% confidence intervals for BMIs of 30.0-34.9, 35.0-39.9 and ≥40.0 were 0.86 (95% confidence interval (CI): 0.77, 0.96), 0.85 (95% CI: 0.72, 0.99), and 0.88 (95% CI: 0.72, 1.07), respectively, in the unweighted model. The corresponding mortality rate ratios were 0.96 (95% CI: 0.86, 1.07), 1.12 (95% CI: 0.97, 1.29), and 1.31 95% CI: (1.08, 1.57), respectively, in the marginal structural model. Results from the inverse probability of treatment- and censoring-weighted marginal structural model were attenuated in low BMI categories and increased in high BMI categories. The results demonstrate the importance of accounting for reverse causality and selective attrition in studies of older adults.
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Censin JC, Peters SAE, Bovijn J, Ferreira T, Pulit SL, Mägi R, Mahajan A, Holmes MV, Lindgren CM. Causal relationships between obesity and the leading causes of death in women and men. PLoS Genet 2019; 15:e1008405. [PMID: 31647808 PMCID: PMC6812754 DOI: 10.1371/journal.pgen.1008405] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 09/09/2019] [Indexed: 12/25/2022] Open
Abstract
Obesity traits are causally implicated with risk of cardiometabolic diseases. It remains unclear whether there are similar causal effects of obesity traits on other non-communicable diseases. Also, it is largely unexplored whether there are any sex-specific differences in the causal effects of obesity traits on cardiometabolic diseases and other leading causes of death. We constructed sex-specific genetic risk scores (GRS) for three obesity traits; body mass index (BMI), waist-hip ratio (WHR), and WHR adjusted for BMI, including 565, 324, and 337 genetic variants, respectively. These GRSs were then used as instrumental variables to assess associations between the obesity traits and leading causes of mortality in the UK Biobank using Mendelian randomization. We also investigated associations with potential mediators, including smoking, glycemic and blood pressure traits. Sex-differences were subsequently assessed by Cochran's Q-test (Phet). A Mendelian randomization analysis of 228,466 women and 195,041 men showed that obesity causes coronary artery disease, stroke (particularly ischemic), chronic obstructive pulmonary disease, lung cancer, type 2 and 1 diabetes mellitus, non-alcoholic fatty liver disease, chronic liver disease, and acute and chronic renal failure. Higher BMI led to higher risk of type 2 diabetes in women than in men (Phet = 1.4×10-5). Waist-hip-ratio led to a higher risk of chronic obstructive pulmonary disease (Phet = 3.7×10-6) and higher risk of chronic renal failure (Phet = 1.0×10-4) in men than women. Obesity traits have an etiological role in the majority of the leading global causes of death. Sex differences exist in the effects of obesity traits on risk of type 2 diabetes, chronic obstructive pulmonary disease, and renal failure, which may have downstream implications for public health.
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Affiliation(s)
- Jenny C. Censin
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Sanne A. E. Peters
- The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jonas Bovijn
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Teresa Ferreira
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Sara L. Pulit
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael V. Holmes
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, United Kingdom
| | - Cecilia M. Lindgren
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
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Albert CL. Morbid Obesity as a Therapeutic Target for Heart Failure. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2019; 21:52. [DOI: 10.1007/s11936-019-0754-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Riis J, Nordestgaard BG, Jensen GB, Afzal S. Secular trends in risk of stroke according to body mass index and blood pressure, 1976–2017. Neurology 2019; 93:e1397-e1407. [DOI: 10.1212/wnl.0000000000008193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 05/10/2019] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo test the hypothesis that the associations of body mass index (BMI) and BMI-related risk factors with risk of stroke have attenuated over time using cohorts recruited from the general population over 4 decades.MethodsWe undertook prospective studies of 2 cohorts enrolled in 1976 to 1978 (13,567 participants from the Copenhagen City Heart Study) and 2003 to 2015 (107,040 participants from the Copenhagen General Population Study). Each cohort was recruited randomly from the Danish general population 20 to 100 years of age. Participants were followed up from the date of examination to date of emigration, death, or stroke event, whichever occurred first. Follow-up ended in March 2017. We did not lose track of any individual. BMI and blood pressure were modeled with splines and in categories. Main outcome was incident stroke, including ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage.ResultsThe crude incidence of stroke declined in extreme categories of BMI and blood pressure from 1977 to 2017. The multivariable-adjusted hazard ratios for stroke in participants with BMI ≥30 vs 18.5 to 24.9 kg/m2 were 1.4 (95% confidence interval 1.2–1.6) in the 1976–1978 cohort and 1.1 (1.0–1.2) in the 2003–2015 cohort (p = 0.008 for 1976–1978 vs 2003–2015). The corresponding hazard ratios (confidence intervals) in participants with blood pressure ≥160/100 vs <140/90 mm Hg were 2.1 (1.9–2.3) and 1.5 (1.4–1.7), respectively (p < 0.001). Similar secular trends were observed for diabetes mellitus but were not obvious for other risk factors.ConclusionThe associations of high BMI and high blood pressure with higher risk of stroke were attenuated across 2 Danish cohorts enrolled from 1976 through 2015.
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Correlation of MRI-derived adipose tissue measurements and anthropometric markers with prevalent hypertension in the community. J Hypertens 2019; 36:1555-1562. [PMID: 29601409 DOI: 10.1097/hjh.0000000000001741] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To compare the correlations of MRI-derived adipose tissue measurements and anthropometric markers, respectively, with prevalent hypertension in a community-based sample, free of clinical cardiovascular disease. METHODS MRI-derived adipose tissue measurements were obtained in 345 participants (143 women; age 39-73 years) of the KORA FF4 survey from Southern Germany using a 3-Tesla machine and included total adipose tissue (TAT), visceral adipose tissue (VAT), subcutaneous adipose tissue (SCAT), hepatic fat fraction (HFF), pancreatic fat fraction (PFF) as well as pericardial adipose tissue (PAT). In addition, the anthropometric markers body mass index, waist circumference, hip circumference, waist-hip ratio (WHR) and waist-height ratio (WHtR) as well as blood pressure measurements were obtained. RESULTS The prevalence of hypertension was 33.6% (women: 28%, men: 38%). VAT and PAT had the highest area under the curve (AUC) values for identifying individuals with prevalent hypertension (AUC: 0.75; 0.73, respectively), whereas WHtR and waist circumference were best performing anthropometric markers (AUC: 0.72; 0.70, respectively). A 1SD increment of TAT was associated with the highest odd for hypertension in the age-adjusted and sex-adjusted model (OR = 2.20, 95% CI 1.67-2.91, P < 0.001) and in the fully adjusted model (OR = 1.97, 95% CI 1.45-2.66, P < 0.001). TAT was the only MRI-derived adipose tissue measurement that was associated with hypertension independently of the best performing anthropometric marker waist circumference in the fully adjusted model (OR = 1.93, 95% CI 1.00-3.72, P = 0.049). CONCLUSION MRI-derived adipose tissue measurements perform similarly in identifying prevalent hypertension compared with anthropometric markers. Especially, TAT, VAT and PAT as well as WHtR and waist circumference were highly correlated with prevalent hypertension.
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Lyall DM, Celis-Morales C, Ward J, Iliodromiti S, Anderson JJ, Gill JMR, Smith DJ, Ntuk UE, Mackay DF, Holmes MV, Sattar N, Pell JP. Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank: A Mendelian Randomization Study. JAMA Cardiol 2019; 2:882-889. [PMID: 28678979 DOI: 10.1001/jamacardio.2016.5804] [Citation(s) in RCA: 153] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance Higher body mass index (BMI) is a risk factor for cardiometabolic disease; however, the underlying causal associations remain unclear. Objectives To use UK Biobank data to report causal estimates of the association between BMI and cardiometabolic disease outcomes and traits, such as pulse rate, using mendelian randomization. Design, Setting, and Participants Cross-sectional baseline data from a population-based cohort study including 119 859 UK Biobank participants with complete phenotypic (medical and sociodemographic) and genetic data. Participants attended 1 of 22 assessment centers across the United Kingdom between 2006 and 2010. The present study was conducted from May 1 to July 11, 2016. Main Outcomes and Measures Prevalence of hypertension, coronary heart disease, and type 2 diabetes were determined at assessment, based on self-report. Blood pressure was measured clinically. Participants self-reported sociodemographic information pertaining to relevant confounders. A polygenic risk score comprising 93 single-nucleotide polymorphisms associated with BMI from previous genome-wide association studies was constructed, and the genetic risk score was applied to derive causal estimates using a mendelian randomization approach. Results Of the 119 859 individuals included in the study, 56 816 (47.4%) were men; mean (SD) age was 56.87 (7.93) years. Mendelian randomization analysis showed significant positive associations between genetically instrumented higher BMI and risk of hypertension (odds ratio [OR] per 1-SD higher BMI, 1.64; 95% CI, 1.48-1.83; P = 1.1 × 10-19), coronary heart disease (OR, 1.35; 95% CI, 1.09-1.69; P = .007) and type 2 diabetes (OR, 2.53; 95% CI, 2.04-3.13; P = 1.5 × 10-17), as well as systolic blood pressure (β = 1.65 mm Hg; 95% CI, 0.78-2.52 mm Hg; P = 2.0 × 10-04) and diastolic blood pressure (β = 1.37 mm Hg; 95% CI, 0.88-1.85 mm Hg; P = 3.6 × 10-08). These associations were independent of age, sex, Townsend deprivation scores, alcohol intake, and smoking history. Conclusions and Relevance The results of this study add to the burgeoning evidence of an association between higher BMI and increased risk of cardiometabolic diseases. This finding has relevance for public health policies in many countries with increasing obesity levels.
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Affiliation(s)
- Donald M Lyall
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
| | - Carlos Celis-Morales
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland
| | - Joey Ward
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
| | - Stamatina Iliodromiti
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland
| | - Jana J Anderson
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
| | - Jason M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland
| | - Daniel J Smith
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
| | - Uduakobong Efanga Ntuk
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland
| | - Daniel F Mackay
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
| | - Michael V Holmes
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Medical Research Council Population Health Research Unit, University of Oxford, Oxford, England.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford University Hospitals, Oxford, England
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland
| | - Jill P Pell
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland
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Hu Q, Hao P, Liu Q, Dong M, Gong Y, Zhang C, Zhang Y. Mendelian randomization studies on atherosclerotic cardiovascular disease: evidence and limitations. SCIENCE CHINA-LIFE SCIENCES 2019; 62:758-770. [DOI: 10.1007/s11427-019-9537-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/26/2019] [Indexed: 12/26/2022]
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Sanghera DK, Bejar C, Sharma S, Gupta R, Blackett PR. Obesity genetics and cardiometabolic health: Potential for risk prediction. Diabetes Obes Metab 2019; 21:1088-1100. [PMID: 30667137 PMCID: PMC6530772 DOI: 10.1111/dom.13641] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/17/2019] [Accepted: 01/19/2019] [Indexed: 02/06/2023]
Abstract
The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome-based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohydrate homeostasis, ectopic deposition of fat in muscle and liver, and inflammation, with contributions from the gut microbiome. A futuristic model depends on harnessing the predictive power of plausible genetic variants, phenotype reversibility, and effective therapeutic choices based on genotype-phenotype interactions. Inverting disease phenotypes into ideal cardiovascular health metrics could improve genetic and epigenetic assessment, and form the basis of a future model for risk detection and early intervention.
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Affiliation(s)
- Dharambir K. Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
| | - Cynthia Bejar
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sonali Sharma
- Department of Biochemistry, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Rajeev Gupta
- Academic Research Development Unit, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Piers R. Blackett
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
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Coutinho MSSDA. Abdominal Adiposity and Intima-Media Carotid Thickness: An Association. Arq Bras Cardiol 2019; 112:228-229. [PMID: 30916184 PMCID: PMC6424036 DOI: 10.5935/abc.20190023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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