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SARZYNSKI MARKA, RICE TREVAK, DESPRÉS JEANPIERRE, PÉRUSSE LOUIS, TREMBLAY ANGELO, STANFORTH PHILIPR, TCHERNOF ANDRÉ, BARBER JACOBL, FALCIANI FRANCESCO, CLISH CLARY, ROBBINS JEREMYM, GHOSH SUJOY, GERSZTEN ROBERTE, LEON ARTHURS, SKINNER JAMESS, RAO DC, BOUCHARD CLAUDE. The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers. Med Sci Sports Exerc 2022; 54:S1-S43. [PMID: 35611651 PMCID: PMC9012529 DOI: 10.1249/mss.0000000000002859] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The aim of the HERITAGE Family Study was to investigate individual differences in response to a standardized endurance exercise program, the role of familial aggregation, and the genetics of response levels of cardiorespiratory fitness and cardiovascular disease and diabetes risk factors. Here we summarize the findings and their potential implications for cardiometabolic health and cardiorespiratory fitness. It begins with overviews of background and planning, recruitment, testing and exercise program protocol, quality control measures, and other relevant organizational issues. A summary of findings is then provided on cardiorespiratory fitness, exercise hemodynamics, insulin and glucose metabolism, lipid and lipoprotein profiles, adiposity and abdominal visceral fat, blood levels of steroids and other hormones, markers of oxidative stress, skeletal muscle morphology and metabolic indicators, and resting metabolic rate. These summaries document the extent of the individual differences in response to a standardized and fully monitored endurance exercise program and document the importance of familial aggregation and heritability level for exercise response traits. Findings from genomic markers, muscle gene expression studies, and proteomic and metabolomics explorations are reviewed, along with lessons learned from a bioinformatics-driven analysis pipeline. The new opportunities being pursued in integrative -omics and physiology have extended considerably the expected life of HERITAGE and are being discussed in relation to the original conceptual model of the study.
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Affiliation(s)
- MARK A. SARZYNSKI
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - TREVA K. RICE
- Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO
| | - JEAN-PIERRE DESPRÉS
- Department of Kinesiology, Faculty of Medicine, Laval University, Quebec, QC, CANADA
- Quebec Heart and Lung Institute Research Center, Laval University, Québec, QC, CANADA
| | - LOUIS PÉRUSSE
- Department of Kinesiology, Faculty of Medicine, Laval University, Quebec, QC, CANADA
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec, QC, CANADA
| | - ANGELO TREMBLAY
- Department of Kinesiology, Faculty of Medicine, Laval University, Quebec, QC, CANADA
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec, QC, CANADA
| | - PHILIP R. STANFORTH
- Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX
| | - ANDRÉ TCHERNOF
- Quebec Heart and Lung Institute Research Center, Laval University, Québec, QC, CANADA
- School of Nutrition, Laval University, Quebec, QC, CANADA
| | - JACOB L. BARBER
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - FRANCESCO FALCIANI
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UNITED KINGDOM
| | - CLARY CLISH
- Metabolomics Platform, Broad Institute and Harvard Medical School, Boston, MA
| | - JEREMY M. ROBBINS
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Cardiovascular Research Center, Beth Israel Deaconess Medical Center, Boston, MA
| | - SUJOY GHOSH
- Cardiovascular and Metabolic Disorders Program and Centre for Computational Biology, Duke-National University of Singapore Medical School, SINGAPORE
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - ROBERT E. GERSZTEN
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Cardiovascular Research Center, Beth Israel Deaconess Medical Center, Boston, MA
| | - ARTHUR S. LEON
- School of Kinesiology, University of Minnesota, Minneapolis, MN
| | | | - D. C. RAO
- Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO
| | - CLAUDE BOUCHARD
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
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Lopes AL, Macedo RCO, Krüger RL, Friedman R, Carteri RB, Reischak-Oliveira Á. Fasted exercise does not improve postprandial lipemia responses to different meals in lean and obese subjects: A crossover, randomized clinical trial. Clin Nutr ESPEN 2021; 41:160-167. [PMID: 33487260 DOI: 10.1016/j.clnesp.2020.11.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 11/12/2020] [Accepted: 11/18/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Persistent episodes of postprandial hyperlipemia (PPL) and hyperglycemia (PPG) are considered risk factors for coronary heart disease (CHD) and premature death; whereas physical exercise improves lipid profile and glucose tolerance thus decreasing cardiovascular risks. OBJECTIVE To investigate the effects of low-intensity fasted aerobic exercise on the magnitude of the PPL and PPG responses to meals with different energy content, in normal and obese subjects. METHODS The study used a randomized crossover design. Twenty-one male (Lean: n = 9, BMI: 24.3 ± 2.2; and obese: n = 12, BMI 32.31 ± 2.1) volunteers aged 20-30 years, performed three interventions, separated by 7 days each: (i) 45 min at rest and isocaloric high-fat meal (60% lipids, 30% carbohydrates and 10% protein); (ii) fasted low-intensity aerobic exercise (50% VO2max) for 45 min followed by an isocaloric or (iii) calorie deficit high-fat meal. Subjects were serially assessed for blood triglycerides, and glucose levels. RESULTS AND CONCLUSIONS Low-intensity fasted aerobic exercise had no acute effect on PPL in lean and obese subjects. Glucose concentrations were reduced only in lean subjects. There is a significant difference in PPL values when comparing lean to obese subjects, implying that the nutritional status influences lipid and carbohydrate after fasted low-intensity aerobic exercise. Registered under ClinicalTrials.gov Identifier no. NCT00929890.
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Affiliation(s)
- André Luiz Lopes
- Exercise Research Laboratory (LAPEX), School of Physical Education (ESEF), Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil; University of Santa Cruz Do Sul, Santa Cruz, RS, Brazil
| | - Rodrigo Cauduro Oliveira Macedo
- Exercise Research Laboratory (LAPEX), School of Physical Education (ESEF), Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil; University of Santa Cruz Do Sul, Santa Cruz, RS, Brazil
| | - Renata Lopes Krüger
- Exercise Research Laboratory (LAPEX), School of Physical Education (ESEF), Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil; University of Calgary, Alberta, Canada
| | - Rogério Friedman
- School of Medicine, Federal University of Rio Grande Do Sul (UFRGS) and Porto Alegre Clínicas Hospital (HCPA), Porto Alegre, RS, Brazil
| | - Randhall Bruce Carteri
- Exercise Research Laboratory (LAPEX), School of Physical Education (ESEF), Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil; Centro Universitário Metodista - IPA, Porto Alegre, RS, Brazil.
| | - Álvaro Reischak-Oliveira
- Exercise Research Laboratory (LAPEX), School of Physical Education (ESEF), Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil
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Thomas HJ, Marsh CE, Maslen BA, Scurrah KJ, Naylor LH, Green DJ. Studies of Twin Responses to Understand Exercise Therapy (STRUETH): Body Composition. Med Sci Sports Exerc 2021; 53:58-67. [PMID: 32826634 DOI: 10.1249/mss.0000000000002461] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
PURPOSE We studied individual variability in exercise responses in twins. We hypothesized that 1) endurance (END) training would reduce fat mass whereas resistance (RES) training would increase lean mass, 2) individuals who did not respond to one modality would respond to the other, and 3) cross-sectional heritability estimates would be higher than estimates based on training responses. METHODS DXA was undertaken in 84 same-sex untrained twins (30 monozygotic [MZ], 12 dizygotic [DZ]). Participants underwent 3 months of END and RES training, separated by 3 months washout. Twins trained in pairs. RESULTS RES (P < 0.001) and END (P = 0.002) increased lean mass, with a greater change in RES (P < 0.001). Similarly, RES (P = 0.04) and END (P = 0.006) decreased fat mass. Eighty-four percent of subjects responded positively to RES for lean mass and 58% to END (P < 0.001). For fat mass, RES and END induced 56% and 66% responder rates, respectively (P = 0.28). Cross-sectional intraclass correlations, used to assess the similarity in twin responses, were higher for MZ than DZ pairs for all variables. Following training, only MZ pairs were significantly correlated (P < 0.001) for change in lean mass to RES. CONCLUSION To our knowledge, this study is the first to report individual responsiveness in body composition to both RES and END in the same subjects. Although RES and END induced favorable changes in fat mass, RES was superior for lean mass. The frequency of lean mass responders to RES exceeded that for END, whereas response rates for fat mass were similar. Cross-sectional heritability estimates were higher than training response estimates, and shared environment had the largest influence on changes in body composition. This study suggests that exercise professionals should consider modality and environmental factors when optimizing exercise interventions.
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Affiliation(s)
- Hannah J Thomas
- School of Human Sciences, Exercise and Sport Science, The University of Western Australia, Perth, Western Australia, AUSTRALIA
| | - Channa E Marsh
- School of Human Sciences, Exercise and Sport Science, The University of Western Australia, Perth, Western Australia, AUSTRALIA
| | - Barbara A Maslen
- School of Human Sciences, Exercise and Sport Science, The University of Western Australia, Perth, Western Australia, AUSTRALIA
| | - Katrina J Scurrah
- Twins Research Australia, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, AUSTRALIA
| | - Louise H Naylor
- School of Human Sciences, Exercise and Sport Science, The University of Western Australia, Perth, Western Australia, AUSTRALIA
| | - Daniel J Green
- School of Human Sciences, Exercise and Sport Science, The University of Western Australia, Perth, Western Australia, AUSTRALIA
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Cho HW, Jin HS, Eom YB. The interaction between FTO rs9939609 and physical activity is associated with a 2-fold reduction in the risk of obesity in Korean population. Am J Hum Biol 2020; 33:e23489. [PMID: 32865273 DOI: 10.1002/ajhb.23489] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 06/29/2020] [Accepted: 07/29/2020] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE FTO (fat mass and obesity-associated) gene is a well-known genetic risk factor for obesity. We investigated whether physical activity modulates the effect of FTO rs9939609 on obesity in Korean population. METHODS The study analyzed the correlation between physical activity and obesity in 8840 individuals representing the Korea Association Resource (KARE). The association between obesity-related traits and single-nucleotide polymorphisms (SNPs) was assessed using linear regression models. Physical activity was defined as 3 hours or more of daily intense activity. RESULTS Participants carrying rs9939609 (AT+AA) genotypes showed higher BMI compared with those carrying the wild-type (TT) homozygote. The highest significant association was observed between obesity-related traits (ß = .334, P value = 1.76 × 10-6 ). FTO rs9939609 (AT+AA) increased the risk of obesity (OR = 1.42, CI [1.13-1.79]), which was correlated with BMI correlations. However, active exercise by subjects carrying the same genotype reduced the risk of obesity by nearly 2-fold (OR = 0.62, CI [0.25-0.84]). In contrast, TT genotype was not statistically significant in reducing the risk of obesity in the active exercise group. CONCLUSIONS Our results support a previous finding correlating FTO and obesity-related traits and suggest that the interaction with genetic variation and physical activity is an important risk factor for obesity.
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Affiliation(s)
- Hye-Won Cho
- Department of Medical Sciences, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Republic of Korea
| | - Yong-Bin Eom
- Department of Medical Sciences, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea
- Department of Biomedical Laboratory Science, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea
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Ross R, Goodpaster BH, Koch LG, Sarzynski MA, Kohrt WM, Johannsen NM, Skinner JS, Castro A, Irving BA, Noland RC, Sparks LM, Spielmann G, Day AG, Pitsch W, Hopkins WG, Bouchard C. Precision exercise medicine: understanding exercise response variability. Br J Sports Med 2019; 53:1141-1153. [PMID: 30862704 PMCID: PMC6818669 DOI: 10.1136/bjsports-2018-100328] [Citation(s) in RCA: 148] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2019] [Indexed: 12/14/2022]
Abstract
There is evidence from human twin and family studies as well as mouse and rat selection experiments that there are considerable interindividual differences in the response of cardiorespiratory fitness (CRF) and other cardiometabolic traits to a given exercise programme dose. We developed this consensus statement on exercise response variability following a symposium dedicated to this topic. There is strong evidence from both animal and human studies that exercise training doses lead to variable responses. A genetic component contributes to exercise training response variability. In this consensus statement, we (1) briefly review the literature on exercise response variability and the various sources of variations in CRF response to an exercise programme, (2) introduce the key research designs and corresponding statistical models with an emphasis on randomised controlled designs with or without multiple pretests and post-tests, crossover designs and repeated measures designs, (3) discuss advantages and disadvantages of multiple methods of categorising exercise response levels—a topic that is of particular interest for personalised exercise medicine and (4) outline approaches that may identify determinants and modifiers of CRF exercise response. We also summarise gaps in knowledge and recommend future research to better understand exercise response variability.
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Affiliation(s)
- Robert Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
| | - Bret H Goodpaster
- Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, USA
| | - Lauren G Koch
- Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA
| | - Mark A Sarzynski
- Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Wendy M Kohrt
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Neil M Johannsen
- Interventional Resources, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.,School of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, USA
| | - James S Skinner
- Department of Kinesiology, Indiana University, Bloomington, Indiana, USA
| | - Alex Castro
- Department of Physical Education, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Brian A Irving
- School of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, USA.,Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Robert C Noland
- John S Mcilhenny Skeletal Muscle Physiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Lauren M Sparks
- Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, USA
| | - Guillaume Spielmann
- School of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, USA.,Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Andrew G Day
- Kingston General Health Research Institute, Kingston Health Sciences Centre, Kingston, Ontario, Canada
| | - Werner Pitsch
- Economics and Sociology of Sport, Saarland University, Saarbrücken, Saarland, Germany
| | - William G Hopkins
- College of Sport and Exercise Science, Victoria University, Melbourne, Victoria, Australia
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Lee T, Thalamuthu A, Henry JD, Trollor JN, Ames D, Wright MJ, Sachdev PS. Genetic and Environmental Influences on Language Ability in Older Adults: Findings from the Older Australian Twins Study. Behav Genet 2018; 48:187-197. [PMID: 29619677 DOI: 10.1007/s10519-018-9897-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 03/29/2018] [Indexed: 01/24/2023]
Abstract
We used a sub-sample from the Older Australian Twins Study to estimate the heritability of performance on three tests of language ability: Boston Naming Test (BNT), Letter/Phonemic Fluency (FAS) and Category/Semantic Fluency (CFT) Tests. After adjusting for age, sex, education, mood, and global cognition (GC), heritability estimates obtained for the three tests were 0.35, 0.59, and 0.20, respectively. Multivariate analyses showed that the genetic correlation were high for BNT and CFT (0.61), but low for BNT and FAS (0.17), and for FAS and CFT (0.28). Genetic modelling with Cholesky decomposition indicated that the covariation between the three measures could be explained by a common genetic factor. Environmental correlations between the language ability measures were low, and there were considerable specific environmental influences for each measure. Future longitudinal studies with language performance and neuroimaging data can further our understanding of genetic and environmental factors involved in the process of cognitive aging.
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Affiliation(s)
- T Lee
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia. .,Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Australia. .,Centre for Healthy Brain Ageing (CHeBA), NPI Euroa Centre, Prince of Wales Hospital, UNSW Sydney, Barker St., Randwick, NSW, 2031, Australia.
| | - A Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J D Henry
- School of Psychology, University of Queensland, St Lucia, QLD, Australia
| | - J N Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | - D Ames
- St George's Hospital, University of Melbourne Academic Unit for Psychiatry of Old Age, Victoria, Australia
| | - M J Wright
- School of Psychology, University of Queensland, St Lucia, QLD, Australia.,Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - P S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Australia
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Franks PW, Poveda A. Lifestyle and precision diabetes medicine: will genomics help optimise the prediction, prevention and treatment of type 2 diabetes through lifestyle therapy? Diabetologia 2017; 60:784-792. [PMID: 28124081 PMCID: PMC6518113 DOI: 10.1007/s00125-017-4207-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 12/16/2016] [Indexed: 12/17/2022]
Abstract
Precision diabetes medicine, the optimisation of therapy using patient-level biomarker data, has stimulated enormous interest throughout society as it provides hope of more effective, less costly and safer ways of preventing, treating, and perhaps even curing the disease. While precision diabetes medicine is often framed in the context of pharmacotherapy, using biomarkers to personalise lifestyle recommendations, intended to lower type 2 diabetes risk or to slow progression, is also conceivable. There are at least four ways in which this might work: (1) by helping to predict a person's susceptibility to adverse lifestyle exposures; (2) by facilitating the stratification of type 2 diabetes into subclasses, some of which may be prevented or treated optimally with specific lifestyle interventions; (3) by aiding the discovery of prognostic biomarkers that help guide timing and intensity of lifestyle interventions; (4) by predicting treatment response. In this review we overview the rationale for precision diabetes medicine, specifically as it relates to lifestyle; we also scrutinise existing evidence, discuss the barriers germane to research in this field and consider how this work is likely to proceed.
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Affiliation(s)
- Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Skåne University Hospital, Malmö, SE-20502, Sweden.
- Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University, Umeå, Sweden.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Alaitz Poveda
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Skåne University Hospital, Malmö, SE-20502, Sweden
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Zadro JR, Shirley D, Andrade TB, Scurrah KJ, Bauman A, Ferreira PH. The Beneficial Effects of Physical Activity: Is It Down to Your Genes? A Systematic Review and Meta-Analysis of Twin and Family Studies. SPORTS MEDICINE-OPEN 2017; 3:4. [PMID: 28074345 PMCID: PMC5225201 DOI: 10.1186/s40798-016-0073-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 12/21/2016] [Indexed: 01/11/2023]
Abstract
Background There is evidence for considerable heterogeneity in the responsiveness to regular physical activity (PA) which might reflect the influence of genetic factors. The aim of this systematic review was to assess whether the response to a PA intervention for measures of body composition and cardiorespiratory fitness is (i) correlated within twin pairs and/or families and (ii) more correlated in monozygotic twins (MZ) compared to dizygotic twins (DZ), which would be consistent with genetic effects. Methods We performed electronic database searches, combining key words relating to “physical activity” and “genetics”, in MEDLINE, CINAHL, EMBASE, SPORTS Discuss, AMED, PsycINFO, WEB OF SCIENCE, and SCOPUS from the earliest records to March 2016. Twin and family studies were included if they assessed body composition and/or cardiorespiratory fitness following a PA intervention, and provided a heritability estimate, maximal heritability estimate, or within MZ twin pair correlation (rMZ). Data on heritability (twin studies), maximal heritability (family studies), and the rMZ were extracted from included studies, although heritability estimates were not reported as small sample sizes made them uninformative. Results After screening 224 full texts, nine twin and five family studies were included in this review. The pooled rMZ in response to PA was significant for body mass index (rMZ = 0.69, n = 58), fat mass (rMZ = 0.58, n = 48), body fat percentage (rMZ = 0.55, n = 72), waist circumference (rMZ = 0.50, n = 27), and VO2max (rMZ = 0.39, n = 48), where “n” represents the total number of twin pairs from all studies. Maximal heritability estimates ranged from 0–21% for measures of body composition, and 22–57% for cardiorespiratory fitness. Twin studies differed in sample age, baseline values, and PA intervention, although the exclusion of any one study did not affect the results. Conclusions Shared familial factors, including genetics, are likely to be a significant contributor to the response of body composition and cardiorespiratory fitness following PA. Genetic factors may explain individual variation in the response to PA. Trial Registrations PROSPERO Registration No CRD42015020056. Electronic supplementary material The online version of this article (doi:10.1186/s40798-016-0073-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- J R Zadro
- Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, 75 East Street, Lidcombe, Sydney, NSW 1825, Australia.
| | - D Shirley
- Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, 75 East Street, Lidcombe, Sydney, NSW 1825, Australia
| | - T B Andrade
- Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, 75 East Street, Lidcombe, Sydney, NSW 1825, Australia
| | - K J Scurrah
- Australian Centre for Excellence in Twin Research, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - A Bauman
- School of Public Health and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - P H Ferreira
- Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, 75 East Street, Lidcombe, Sydney, NSW 1825, Australia
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Sung YJ, Pérusse L, Sarzynski MA, Fornage M, Sidney S, Sternfeld B, Rice T, Terry G, Jacobs DR, Katzmarzyk P, Curran JE, Carr JJ, Blangero J, Ghosh S, Després JP, Rankinen T, Rao D, Bouchard C. Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat. Int J Obes (Lond) 2016; 40:662-74. [PMID: 26480920 PMCID: PMC4821694 DOI: 10.1038/ijo.2015.217] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Revised: 10/05/2015] [Accepted: 10/06/2015] [Indexed: 12/21/2022]
Abstract
BACKGROUND To identify loci associated with abdominal fat and replicate prior findings, we performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous adipose tissue (SAT); visceral adipose tissue (VAT); total adipose tissue (TAT) and visceral to subcutaneous adipose tissue ratio (VSR). SUBJECTS AND METHODS Sex-combined and sex-stratified analyses were performed on each trait with (TRAIT-BMI) or without (TRAIT) adjustment for body mass index (BMI), and cohort-specific results were combined via a fixed effects meta-analysis. A total of 2513 subjects of European descent were available for the discovery phase. For replication, 2171 European Americans and 772 African Americans were available. RESULTS A total of 52 single-nucleotide polymorphisms (SNPs) encompassing 7 loci showed suggestive evidence of association (P<1.0 × 10(-6)) with abdominal fat in the sex-combined analyses. The strongest evidence was found on chromosome 7p14.3 between a SNP near BBS9 gene and VAT (rs12374818; P=1.10 × 10(-7)), an association that was replicated (P=0.02). For the BMI-adjusted trait, the strongest evidence of association was found between a SNP near CYCSP30 and VAT-BMI (rs10506943; P=2.42 × 10(-7)). Our sex-specific analyses identified one genome-wide significant (P<5.0 × 10(-8)) locus for SAT in women with 11 SNPs encompassing the MLLT10, DNAJC1 and EBLN1 genes on chromosome 10p12.31 (P=3.97 × 10(-8) to 1.13 × 10(-8)). The THNSL2 gene previously associated with VAT in women was also replicated (P=0.006). The six gene/loci showing the strongest evidence of association with VAT or VAT-BMI were interrogated for their functional links with obesity and inflammation using the Biograph knowledge-mining software. Genes showing the closest functional links with obesity and inflammation were ADCY8 and KCNK9, respectively. CONCLUSIONS Our results provide evidence for new loci influencing abdominal visceral (BBS9, ADCY8, KCNK9) and subcutaneous (MLLT10/DNAJC1/EBLN1) fat, and confirmed a locus (THNSL2) previously reported to be associated with abdominal fat in women.
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Affiliation(s)
- Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St-Louis, MO
| | - Louis Pérusse
- Department of Kinesiology, School of Medicine and Institute of Nutrition and Functional Foods, Laval University, Québec, QC
| | - Mark A. Sarzynski
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Myriam Fornage
- Center for Human Genetics, University of Texas Health Science Center, Houston, TX
| | - Steve Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Treva Rice
- Division of Biostatistics, Washington University School of Medicine, St-Louis, MO
| | - Gregg Terry
- Department of Radiology, School of Medicine, Vanderbilt University, Nahsville, TN
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Peter Katzmarzyk
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, TX
| | - John Jeffrey Carr
- Department of Radiology, School of Medicine, Vanderbilt University, Nahsville, TN
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, TX
| | - Sujoy Ghosh
- Cardiovascular and Metabolic Disorders Program and Center for Computational Biology, Duke-NUS Graduate Medical School, Singapore
| | - Jean-Pierre Després
- Department of Kinesiology, School of Medicine and Institute of Nutrition and Functional Foods, Laval University, Québec, QC
- Centre de recherché de l’Institut universitaire de cardiologie et de pneumologie de Québec, Québec, QC
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - D.C. Rao
- Division of Biostatistics, Washington University School of Medicine, St-Louis, MO
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
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Foraita R, Brandes M, Günther F, Bammann K, Pigeot I, Ahrens W. The influence of aerobic fitness on obesity and its parent-offspring correlations in a cross-sectional study among German families. BMC Public Health 2015; 15:638. [PMID: 26162746 PMCID: PMC4702408 DOI: 10.1186/s12889-015-2013-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Accepted: 07/02/2015] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Overweight/obesity is an important public health burden worldwide, increasing the risk for the development of cardiovascular diseases or the metabolic syndrome. This risk may be reduced by a good aerobic fitness (AF) that can be improved by physical activity but is also influenced by genetic factors. The aim of this study was to test for familial aggregation of AF measured by maximal oxygen uptake (VO2max) and to estimate its heritability. Furthermore, an exploratory analysis of the association between overweight/obesity and AF was performed. In contrast to previous studies, all analyses were adjusted for additional environmental and behavioral factors, in particular for objectively measured physical activity (PA) in addition to body mass index (BMI). METHODS 79 families (157 parents, 132 children) performed a maximum exercise test (spiroergometry) to assess maximum oxygen uptake. PA was measured by accelerometry. Familial aggregation of AF was determined using a two-step design: AF was adjusted for age, sex and age*sex using linear regression. Afterwards, the residuals were used to determine the intraclass correlation coefficient (ICC) by ANOVA. Heritability and associations were estimated by generalized linear mixed models. RESULTS Familial aggregation of AF (ICC = 0.22, p < 0.001) was significant but decreased when adjusted for PA or BMI. Its heritability was estimated as 40% (adjusted for PA) using the mid-parent-offspring design. Relative to the middle quintile of AF residuals, the odds of being overweight/obese were three- to tenfold reduced in the upper quintile (adjusted for age, sex, age*sex, PA). CONCLUSIONS AF clustered in families after controlling for PA, BMI and parental smoking. Heritability was stronger for mother-child pairs as compared to father-child pairs after controlling for PA and BMI. Above average AF was negatively associated with overweight/obesity.
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Affiliation(s)
- Ronja Foraita
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
| | - Mirko Brandes
- Institute of Sport Sciences, Carl von Ossietzky University of Oldenburg, Postfach 2503, 26111, Oldenburg, Germany.
| | - Frauke Günther
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
| | - Karin Bammann
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
- Institute of Public Health and Nursing Science (IPP), University of Bremen, Grazer Straße 4, 28359, Bremen, Germany.
| | - Iris Pigeot
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
- Faculty 3, University of Bremen, Bibliothekstraße 1, 28359, Bremen, Germany.
| | - Wolfgang Ahrens
- Faculty 3, University of Bremen, Bibliothekstraße 1, 28359, Bremen, Germany.
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
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11
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de Chaves RN, Baxter-Jones A, Santos D, Gomes TN, dos Santos FK, de Souza MC, Diego VP, Maia J. Clustering of body composition, blood pressure and physical activity in Portuguese families. Ann Hum Biol 2013; 41:159-67. [PMID: 24111494 DOI: 10.3109/03014460.2013.838303] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
AIM The purposes of this study were: (i) to identify familial resemblances in body fat, blood pressure (BP) and total physical activity (TPA); (ii) to estimate the magnitude of their genetic and environmental influences; and (iii) to investigate shared familial aggregation among these phenotypes. SUBJECTS AND METHODS The sample comprised 260 nuclear families from Portugal. Body fat was assessed by bioelectrical impedance. BP was measured by an oscillometric device. TPA was estimated by the Baecke questionnaire. Familial correlation analyses were performed using Generalized Estimating Equations. Quantitative genetic modelling was used to estimate maximal heritability, genetic and environmental correlations. RESULTS Familial intra-trait correlations ranged from 0.15-0.38. Genetic and common environmental factors explained from 30%--44% of fat mass depots and BP and 24% of TPA. Genetic correlations were significant between BP and the fat mass traits (p < 0.05). Environmental correlations were statistically significant between diastolic BP and total body fat, trunk fat and arm fat (p < 0.05) and TPA and other phenotypes. CONCLUSIONS The results suggest familial resemblance in the variation of body fat, BP and TPA, showing partial pleiotropic effects in the variation in body fat phenotypes and BP. TPA only shares common environmental influences with BP and body fat traits.
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Abstract
SummarySeveral studies have documented increased prevalence of overweight and obesity in inhabitants of rural regions, but determinants of their prevalence are complex and not always in one direction. The aim of this study was to estimate both the prevalence and extent of overweight and obesity among rural girls in Poland between 1987 and 2001, as well as to assess differentiation of the phenomenon between regions of different social structures. The data come from two series of cross-sectional studies; the first in 1987 included 7764 girls, and the second in 2001 included 9431 girls aged 9–18. Body mass index (according to the International Obesity Task Force, IOTF) and the EOW index (extent of overweight), which shows by what mean BMI value the overweight boundaries are exceeded, were calculated. Overweight and obesity prevalences in the whole sample, were, respectively, 14.9% and 2.7% in 1987 and 15.5% and 2.5% in 2001, but significant differentiation in the direction of the changes was observed between the examined regions. In one of them, characterized by sudden, mass and long-term unemployment, there was a considerable decrease in overweight and obesity prevalence, whereas in a relatively wealthier region no changes were observed during the 14-year period. Two other regions with a relatively low standard of living and low incomes and education status presented a significant increase in overweight and obesity prevalence. The EOW index increased from 1.9 to 2.1 in the whole examined sample, and it also confirmed significant differences in expansion of overweight and obesity between the examined regions. The complex character of political and socioeconomic changes in Poland during the 1990s has resulted in two-directional changes in biological measures of living conditions. The analysis of the whole sample led to different results in comparison to separate analyses of each of the examined regions.
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Hagberg JM. Do genetic variations alter the effects of exercise training on cardiovascular disease and can we identify the candidate variants now or in the future? J Appl Physiol (1985) 2011; 111:916-28. [DOI: 10.1152/japplphysiol.00153.2011] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Cardiovascular disease (CVD) and CVD risk factors are highly heritable, and numerous lines of evidence indicate they have a strong genetic basis. While there is nothing known about the interactive effects of genetics and exercise training on CVD itself, there is at least some literature addressing their interactive effect on CVD risk factors. There is some evidence indicating that CVD risk factor responses to exercise training are also heritable and, thus, may have a genetic basis. While roughly 100 studies have reported significant effects of genetic variants on CVD risk factor responses to exercise training, no definitive conclusions can be generated at the present time, because of the lack of consistent and replicated results and the small sample sizes evident in most studies. There is some evidence supporting “possible” candidate genes that may affect these responses to exercise training: APO E and CETP for plasma lipoprotein-lipid profiles; eNOS, ACE, EDN1, and GNB3 for blood pressure; PPARG for type 2 diabetes phenotypes; and FTO and BAR genes for obesity-related phenotypes. However, while genotyping technologies and statistical methods are advancing rapidly, the primary limitation in this field is the need to generate what in terms of exercise intervention studies would be almost incomprehensible sample sizes. Most recent diabetes, obesity, and blood pressure genetic studies have utilized populations of 10,000–250,000 subjects, which result in the necessary statistical power to detect the magnitude of effects that would probably be expected for the impact of an individual gene on CVD risk factor responses to exercise training. Thus at this time it is difficult to see how this field will advance in the future to the point where robust, consistent, and replicated data are available to address these issues. However, the results of recent large-scale genomewide association studies for baseline CVD risk factors may drive future hypothesis-driven exercise training intervention studies in smaller populations addressing the impact of specific genetic variants on well-defined physiological phenotypes.
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Affiliation(s)
- James M. Hagberg
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland
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Lawson HA, Cheverud JM. Metabolic syndrome components in murine models. Endocr Metab Immune Disord Drug Targets 2010; 10:25-40. [PMID: 20088816 PMCID: PMC2854879 DOI: 10.2174/187153010790827948] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2009] [Accepted: 11/20/2009] [Indexed: 01/04/2023]
Abstract
Animal models have enriched understanding of the physiological basis of metabolic disorders and advanced identification of genetic risk factors underlying the metabolic syndrome (MetS). Murine models are especially appropriate for this type of research, and are an excellent resource not only for identifying candidate genomic regions, but also for illuminating the possible molecular mechanisms or pathways affected in individual components of MetS. In this review, we briefly discuss findings from mouse models of metabolic disorders, particularly in light of issues raised by the recent flood of human genome-wide association studies (GWAS) results. We describe how mouse models are revealing that genotype interacts with environment in important ways, indicating that the underlying genetics of MetS is highly context dependant. Further we show that epistasis, imprinting and maternal effects each contribute to the genetic architecture underlying variation in metabolic traits, and mouse models provide an opportunity to dissect these aspects of the genetic architecture that are difficult if not impossible to ascertain in humans. Finally we discuss how knowledge gained from mouse models can be used in conjunction with comparative genomic methods and bioinformatic resources to inform human MetS research.
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Affiliation(s)
- Heather A Lawson
- The Department of Anatomy and Neurobiology, Washington University School of Medicine in St Louis, MO, USA.
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15
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Abstract
Physical activity level is an important component of the total daily energy expenditure and as such contributes to body weight regulation. A body of data indicates that the level of physical activity plays a role in the risk of excessive weight gain, in weight loss programs, and particularly in the prevention of weight regain. Most studies dealing with potential gene-physical activity interaction effects use an exercise and fitness or performance paradigm as opposed to an obesity-driven model. From these studies, it is clear that there are considerable individual differences in the response to an exercise regimen and that there is a substantial familial aggregation component to the observed heterogeneity. Few studies have focused on the role of specific genes in accounting for the highly prevalent gene-exercise interaction effects. Results for specific genes have been inconsistent with few exceptions. Progress is likely to come when studies will be designed to truly address gene-exercise or physical activity interaction issues and with sample sizes that will provide adequate statistical power.
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Affiliation(s)
- Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
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Sinha R, Kapoor S, Kapoor AK. Tracing the response of subcutaneous fat accumulation in two generations of males. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2008; 59:429-38. [PMID: 18992880 DOI: 10.1016/j.jchb.2007.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2007] [Accepted: 11/30/2007] [Indexed: 10/21/2022]
Abstract
The present study included 414 adolescent boys aged 11-17 years and their fathers who volunteered as subjects. All the subjects belonged to Punjabi speaking Khatri, an endogamous urban population residing in Delhi, India. A set of five skinfold thicknesses: biceps, triceps, subscapular, suprailiac and medial calf along with body weight and stature were taken on all the subjects to report the pattern of subcutaneous fat distribution and responsiveness of different skinfold sites to fat deposition with variation in total body fat content. It has been noticed that 16- and 17-year-old sons assumed the pattern of subcutaneous fat distribution of their fathers, which was in favour of trunkal fat. Responsiveness of the five skinfold sites towards deposition of fat varied from site to site in various age groups with suprailiac skinfold sites found to be the most responsive followed by subscapular site. The sensitivity of skinfold sites to fat deposition with increase in weight was found to be greater in middle aged men (fathers) than growing boys (adolescent sons).
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Affiliation(s)
- R Sinha
- Department of Anthropology, University of Delhi, Delhi 110007, India
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17
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Rampersaud E, Mitchell BD, Pollin TI, Fu M, Shen H, O'Connell JR, Ducharme JL, Hines S, Sack P, Naglieri R, Shuldiner AR, Snitker S. Physical activity and the association of common FTO gene variants with body mass index and obesity. ACTA ACUST UNITED AC 2008; 168:1791-7. [PMID: 18779467 DOI: 10.1001/archinte.168.16.1791] [Citation(s) in RCA: 196] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Common FTO (fat mass and obesity associated) gene variants have recently been associated with body mass index (BMI) and obesity in several large studies. The role of lifestyle factors (such as physical activity) in those with an underlying FTO genetic predisposition is unknown. METHODS To determine if FTO variants are associated with BMI in Old Order Amish (OOA) individuals, and to further determine whether the detrimental associations of FTO gene variants can be lessened by increased physical activity, a total of 704 healthy OOA adults were selected from the Heredity and Phenotype Intervention (HAPI) Heart Study, an investigation of gene x environment interactions in cardiovascular disease, for whom objective quantified physical activity measurements were available and for whom 92 single-nucleotide polymorphisms (SNPs) in FTO were genotyped. RESULTS Twenty-six FTO SNPs were associated with BMI (P = .04 to <.001), including rs1477196 (P < .001) and rs1861868 (P < .001), 2 SNPs in moderate linkage disequilibrium in the OOA (D' = 0.82; r(2) = 0.36). Stratified analyses of rs1861868 revealed its association with BMI to be restricted entirely to those subjects with low sex- and age-adjusted physical activity scores (P < .001); in contrast, the SNP had no effect on those with above-average physical activity scores (P = .29), with the genotype x physical activity interaction achieving statistical significance (P = .01). Similar evidence for interaction was also obtained for rs1477196. CONCLUSIONS Our results strongly suggest that the increased risk of obesity owing to genetic susceptibility by FTO variants can be blunted through physical activity. These findings emphasize the important role of physical activity in public health efforts to combat obesity, particularly in genetically susceptible individuals.
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Suder A. Socioeconomic and lifestyle determinants of body fat distribution in young working males from Cracow, Poland. Am J Hum Biol 2007; 20:100-9. [PMID: 17963225 DOI: 10.1002/ajhb.20687] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Agnieszka Suder
- Department of Physiotherapy, Academy of Physical Education, 31-571 Cracow, Poland.
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19
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Tolmunen T, Laukkanen JA, Hintikka J, Kurl S, Viinamäki H, Salonen R, Kauhanen J, Kaplan GA, Salonen JT. Low maximal oxygen uptake is associated with elevated depressive symptoms in middle-aged men. Eur J Epidemiol 2006; 21:701-6. [PMID: 17048086 DOI: 10.1007/s10654-006-9038-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 07/05/2006] [Indexed: 10/24/2022]
Abstract
A low level of physical activity has been associated with depression, and increased physical activity has been found to have a positive effect on mood. However, the association between maximal oxygen uptake (VO(2max)) and mood has been poorly studied. In this study VO(2max) (ml/kg per min) was measured in a sample of 1,519 men aged 46-61 years during a cycle ergometer test by using respiratory gas exchange. Men with a history of psychiatric disorder or serious physical illness were excluded. Depressive symptoms were assessed using the 18-item Human Population Laboratory Depression Scale (HPL). Those who scored 5 or more in the HPL were considered to have elevated depressive symptoms. The participants were classified into quartiles according to the VO(2max). Those in the lowest quartile had a more than 3-fold (OR: 3.42; 95% CI: 1.65-7.09; p < 0.001) higher risk of having elevated depressive symptoms compared with those in the highest quartile, even after adjusting for several confounders (OR: 3.38; 95% CI: 1.60-7.14; p < 0.001). In conclusion, low VO(2max) is associated with having elevated depressive symptoms in middle-aged men.
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Affiliation(s)
- T Tolmunen
- Department of Psychiatry, Kuopio University Hospital, P.O. Box 1777, FIN-70211, Kuopio, Finland.
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Provencher V, Pérusse L, Bouchard L, Drapeau V, Bouchard C, Rice T, Rao DC, Tremblay A, Després JP, Lemieux S. Familial resemblance in eating behaviors in men and women from the Quebec Family Study. ACTA ACUST UNITED AC 2005; 13:1624-9. [PMID: 16222066 DOI: 10.1038/oby.2005.199] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE It is commonly recognized that genetic, environmental, behavioral, and social factors are involved in the development of obesity. The family environment may play a key role in shaping children's eating behaviors. The purpose of this study was to estimate the degree of familial resemblance in eating behavioral traits (cognitive dietary restraint, disinhibition, and susceptibility to hunger). RESEARCH METHODS AND PROCEDURES Eating behavioral traits were assessed with the Three-Factor Eating Questionnaire in 282 men and 402 women (202 families) from the Quebec Family Study. Familial resemblance for each trait (adjusted for age, sex, and BMI) was investigated using a familial correlation model. RESULTS The pattern of familial correlation showed significant spouse correlation for the three eating behavior phenotypes, as well as significant parent-offspring and sibling correlations for disinhibition and susceptibility to hunger. According to the most parsimonious model, generalized heritability estimates (including genetic and shared familial environmental effects) reached 6%, 18%, and 28% for cognitive dietary restraint, disinhibition, and susceptibility to hunger, respectively. DISCUSSION These results suggest that there is a significant familial component to eating behavioral traits but that the additive genetic component appears to be small, with generalized heritability estimates ranging from 6% to 28%. Thus, non-familial environmental factors and gene-gene and gene-environmental interactions seem to be the major determinants of the eating/behavioral traits.
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21
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Abstract
Conventional genetic analysis focuses on the genes that account for specific phenotypes, while traditional epidemiology is more concerned with the environmental causes and risk factors related to traits. Genetic epidemiology is an alliance of the 2 fields that focuses on both genetics, including allelic variants in different populations, and environment, in order to explain exactly how genes convey effects in different environmental contexts and to arrive at a more complete comprehension of the etiology of complex traits. In this review, we discuss the epidemiology of diabetes and the current understanding of the genetic bases of obesity and diabetes and provide suggestions for accelerated accumulation of clinically useful genetic information.
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Affiliation(s)
- M Alan Permutt
- Department of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, Missouri 63110-1010, USA.
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22
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Laukkanen JA, Kurl S, Salonen JT. Cardiorespiratory fitness and physical activity as risk predictors of future atherosclerotic cardiovascular diseases. Curr Atheroscler Rep 2002; 4:468-76. [PMID: 12361495 DOI: 10.1007/s11883-002-0052-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Physical fitness and activity status are well-documented risk predictors of cardiovascular and total mortality. The purpose of this article is to show how cardiorespiratory fitness predicts atherosclerotic cardiovascular diseases. Measurement of maximum oxygen consumption (VO(2max)), defined with or without ventilatory gas analysis during exercise testing, can provide a good estimate for cardiorespiratory fitness, which is an independent marker of the early disease. Low VO(2max) has been shown to be comparable with elevated systolic blood pressure, smoking, obesity, and diabetes in importance as a risk factor for mortality, as well as a predictor of coronary artery disease and the progression of atherosclerosis. Cardiorespiratory fitness represents one of the strongest predictors of mortality, emphasizing the importance of exercise testing in everyday clinical practice. In the future, well-defined, disease-specific training programs for exercise prescriptions in different risk groups are needed as a clinical tool.
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Affiliation(s)
- Jari A Laukkanen
- Research Institute of Public Health, University of Kuopio, PO 1627, 70211 Kuopio, Finland.
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Giampietro O, Virgone E, Carneglia L, Griesi E, Calvi D, Matteucci E. Anthropometric indices of school children and familiar risk factors. Prev Med 2002; 35:492-8. [PMID: 12431897 DOI: 10.1006/pmed.2002.1098] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND Overweight in adolescence predicts adverse health effects in adulthood. We carried out a primary school health program and assessed children's growth and body composition. METHODS Were screened 869 (448 M, 421 F) primary school children: height, weight, four skinfolds, and four circumferences were measured. A family-reported questionnaire was used to determine family composition, history, and lifestyle. RESULTS Age was 118 +/- 5 months, BMI 18 +/- 3 kg/m(2). No difference by gender was observed as for BMI or blood pressure. Girls had higher skinfold thickness at the biceps (BCF), triceps (TCF), subscapular (SSF), and suprailiac (SIF) areas (P < 0.001), hip and thigh circumferences (P < 0.01), body fat percentage (P < 0.001). Boys had higher waist circumference (P < 0.01), waist/thigh ratio, and conicity index (P < 0.001). Offspring BMI was correlated with birth weight (P < 0.05), parental BMI and scholarship level (P < 0.001), children blood pressure (P < 0.001), and hours per day spent in television viewing (P < 0.01). Family history for diabetes was associated with higher BMI, SSF, waist circumference (P < 0.05), and upper thigh (P < 0.01). Family history for hypertension was associated with higher SSF/TCF ratio (P < 0.05). CONCLUSIONS Three of 869 children had BMI >30 kg/m(2) (2 boys and 1 girl), 33 had BMI >25 kg/m(2) (17 boys and 16 girls). The percentages of children who could be considered overweight (BMI >/=95(th) percentile of age- and sex-specific NHANES I reference data) were boys, 10.0%, and girls, 9.3%. Anthropometric and anamnestic data on child and family yield more accurate estimates of risk profile: fat distribution seems relevant for metabolic and cardiovascular disorders.
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Affiliation(s)
- Ottavio Giampietro
- Department of Food Prevention, University of Pisa, Az.USL 5, Pisa, Italy
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24
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The Alpha2-Adrenergic Receptor Gene and Body Fat Content and Distribution: The HERITAGE Family Study. Mol Med 2002. [DOI: 10.1007/bf03402078] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Garenc C, Pérusse L, Bergeron J, Gagnon J, Chagnon YC, Borecki IB, Leon AS, Skinner JS, Wilmore JH, Rao DC, Bouchard C. Evidence of LPL gene-exercise interaction for body fat and LPL activity: the HERITAGE Family Study. J Appl Physiol (1985) 2001; 91:1334-40. [PMID: 11509533 DOI: 10.1152/jappl.2001.91.3.1334] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Evidence of a gene-exercise interaction for traits related to body composition is limited. Here, the association between the lipoprotein lipase (LPL) S447X polymorphism and changes in body mass index, fat mass, percent body fat, abdominal visceral fat measured by computed tomography, and post-heparin plasma LPL activity in response to 20 wk of endurance training was investigated in 741 adult white and black subjects. Changes were compared between carriers and noncarriers of the X447 allele after adjustment for the effects of age and pretraining values. No evidence of association was observed in men. However, white women carrying the X447 allele exhibited greater reductions of body mass index (P = 0.01), fat mass (P = 0.01), and percent body fat (P = 0.03); in black women, the carriers exhibited a greater reduction of abdominal visceral fat (P = 0.05) and a greater increase in post-heparin LPL activity (P = 0.02). These results suggest that the LPL S447X polymorphism influences the training-induced changes in body fat and post-heparin LPL activity in women but not in men.
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Affiliation(s)
- C Garenc
- Division of Kinesiology, Department of Preventive Medicine, Laval University, Ste-Foy, Quebec, Canada G1K 7P4
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Abstract
The objective of this paper is to review the current evidence in support of genetic factors underlying the clustering of components of the metabolic syndrome in obese individuals. It has become clear that individual features of the metabolic syndrome are partially determined by familial factors some of which are unique to a given component and others that are shared among several features. A few candidate genes, encoding proteins of glucose, insulin and lipid metabolism, lipolytic cascade, fatty acid intestinal absorption, glucocorticoid metabolism, haemostasis and blood pressure, have been associated with a clustering of metabolic abnormalities, although the functional significance of these associations remains to be established. Furthermore, genetic polymorphisms, such as those detected at several lipoprotein metabolism loci, can modulate the relationships between different components of the metabolic syndrome. An overfeeding study conducted on identical twins has demonstrated that genetic factors play an important role in the responsiveness to changing energy balance conditions. Leptin receptor, beta2 adrenergic receptor and glucocorticoid receptor gene polymorphisms have been associated with an augmented clustering of metabolic abnormalities in response to overfeeding. Gene-gene interaction effects between markers of the alpha2A, beta2 and beta3 adrenergic receptor genes on components of the metabolic syndrome have been described. Genetic factors also seem to modify the responsiveness of metabolic syndrome features to endurance training. A growing understanding of the genetic architecture of the metabolic syndrome may help in the prevention of this condition. The reduction of excess body fat, the most common clinical feature among the cluster of metabolic abnormalities, should be the focus of the prevention and treatment of the metabolic syndrome.
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Affiliation(s)
- O Ukkola
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge 70808-4124, USA
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