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Vasileva F, Hristovski R, Font-Lladó R, Georgiev G, Sacot A, López-Ros V, Calleja-González J, Barretina-Ginesta J, López-Bermejo A, Prats-Puig A. Physical Exercise-Induced DNA Methylation in Disease-Related Genes in Healthy Adults-A Systematic Review With Bioinformatic Analysis. J Strength Cond Res 2024; 38:384-393. [PMID: 38088908 DOI: 10.1519/jsc.0000000000004686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
ABSTRACT Vasileva, F, Hristovski, R, Font-Lladó, R, Georgiev, G, Sacot, A, López-Ros, V, Calleja-González, J, Barretina-Ginesta, J, López-Bermejo, A, and Prats-Puig, A. Physical exercise-induced DNA methylation in disease-related genes in healthy adults-A systematic review with bioinformatic analysis. J Strength Cond Res 38(2): 384-393, 2024-This study aimed to systematically review the existing literature regarding physical exercise (PE) and DNA methylation (DNAm) in healthy adults. Specific goals were to (a) identify differently methylated genes (DMGs) after PE intervention, their imprinting status, chromosome and genomic location, function, and related diseases; and (b) to screen for core genes and identify methylation changes of the core genes that can be modified by PE intervention. Our search identified 2,869 articles from which 8 were finally included. We identified 1851 DMGs ( p < 0.05) after PE intervention, although 45 of them were imprinted. Aerobic exercise (AE) seems to induce more DNA hypermethylation rather than hypomethylation, whereas anaerobic exercise (AN) seems to induce more DNA hypomethylation rather than hypermethylation. Aerobic exercise induced highest % of methylation changes on chromosome 6, whereas AN and mixed type (MT) on chromosome 1. Mixed type induced higher % of methylation changes close to transcription start site in comparison to AE and AN. After PE intervention, DMGs were mainly involved in fat metabolism, cell growth, and neuronal differentiation, whereas diseases regulated by those genes were mainly chronic diseases (metabolic, cardiovascular, neurodegenerative). Finally, 19 core genes were identified among DMGs, all related to protein metabolism. In conclusion, our findings may shed some light on the mechanisms explaining PE-induced health benefits such as the potential role that PE-induced DNAm may have in disease prevention and disease treatment.
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Affiliation(s)
- Fidanka Vasileva
- University School of Health and Sport, University of Girona, Girona, Spain
- Pediatric Endocrinology Research Group, Girona Institute for Biomedical Research, Girona, Spain
| | - Robert Hristovski
- Faculty of Physical Education, Sport and Health, University Ss. Cyril and Methodius, Skopje, Republic of North Macedonia
| | - Raquel Font-Lladó
- University School of Health and Sport, University of Girona, Girona, Spain
- Research Group of Culture and Education, Institute of Educational Research, University of Girona, Girona, Spain
| | - Georgi Georgiev
- Faculty of Physical Education, Sport and Health, University Ss. Cyril and Methodius, Skopje, Republic of North Macedonia
| | - Arnau Sacot
- University School of Health and Sport, University of Girona, Girona, Spain
- Basquet Girona, Girona, Spain
| | - Víctor López-Ros
- University School of Health and Sport, University of Girona, Girona, Spain
- Chair of Sport and Physical Education-Centre of Olympic Studies, University of Girona, Girona, Spain
| | - Julio Calleja-González
- Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country, Vitoria, Spain
| | | | - Abel López-Bermejo
- Pediatric Endocrinology Research Group, Girona Institute for Biomedical Research, Girona, Spain
- Pediatric Endocrinology, Dr. Josep Girona Hospital, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain; and
| | - Anna Prats-Puig
- University School of Health and Sport, University of Girona, Girona, Spain
- Research Group of Clinical Anatomy, Embryology and Neuroscience, Department of Medical Sciences, University of Girona, Girona, Spain
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Tzemah-Shahar R, Hochner H, Iktilat K, Agmon M. What can we learn from physical capacity about biological age? A systematic review. Ageing Res Rev 2022; 77:101609. [PMID: 35306185 DOI: 10.1016/j.arr.2022.101609] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/02/2022] [Accepted: 03/14/2022] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To systematically investigate the relationship between objective measures of physical capacity (e.g., cardio-respiratory fitness or daily step count) and biological age, measured in different ways. DATA SOURCE PubMed; SCOPUS - Elsevier API; and Web of Science - ISI 1984-present, as well as contextual search engines used to identify additional relevant publications. STUDY SELECTION Cross-sectional and longitudinal studies that assessed the association between objectively measured physical capacity and biological aging in adult individuals (age>18). RESULTS Analysis of 28 studies demonstrated that physical capacity is positively associated with biological aging; the most dominant measures of physical capacity are muscular strength or gait speed. The majority of the studies estimated biological aging by a single methodology - either Leukocyte Telomere Length or DNA methylation levels. CONCLUSIONS This systematic review of the objective physical capacity measures used to estimate aging finds that the current literature is limited insofar as it overlooks the potential contribution of many feasible markers. We recommend measuring physical capacity in the context of aging using a wide range of modifiable behavioral markers, beyond simple muscle strength or simple gait speed. Forming a feasible and diversified method for estimating physical capacity through which it will also be possible to estimate biological aging in wide population studies is essential for the development of interventions that may alleviate the burden of age-related disease.
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Affiliation(s)
- Roy Tzemah-Shahar
- The Cheryl Spencer Institute for Nursing Research, Faculty of Health and Social Welfare, University of Haifa, Haifa, Israel
| | - Hagit Hochner
- Epidemiology unit, Hebrew University School of Public Health, Jerusalem, Israel
| | - Khalil Iktilat
- Department of Gerontology, Faculty of Health and Social Welfare, University of Haifa, Haifa, Israel
| | - Maayan Agmon
- The Cheryl Spencer Institute for Nursing Research, Faculty of Health and Social Welfare, University of Haifa, Haifa, Israel
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Tarnowski M, Kopytko P, Piotrowska K. Epigenetic Regulation of Inflammatory Responses in the Context of Physical Activity. Genes (Basel) 2021; 12:1313. [PMID: 34573295 PMCID: PMC8465911 DOI: 10.3390/genes12091313] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/19/2021] [Accepted: 08/24/2021] [Indexed: 12/11/2022] Open
Abstract
Epigenetic modifications occur in response to environmental changes and play a fundamental role in the regulation of gene expression. PA is found to elicit an inflammatory response, both from the innate and adaptive divisions of the immunological system. The inflammatory reaction is considered a vital trigger of epigenetic changes that in turn modulate inflammatory actions. The tissue responses to PA involve local and general changes. The epigenetic mechanisms involved include: DNA methylation, histone proteins modification and microRNA. All of them affect genetic expression in an inflammatory milieu in physical exercise depending on the magnitude of physiological stress experienced by the exerciser. PA may evoke acute or chronic biochemical and physiological responses and have a positive or negative immunomodulatory effect.
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Affiliation(s)
- Maciej Tarnowski
- Department of Physiology, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland; (P.K.); (K.P.)
- Institute of Physical Culture Sciences, University of Szczecin, 70-453 Szczecin, Poland
| | - Patrycja Kopytko
- Department of Physiology, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland; (P.K.); (K.P.)
| | - Katarzyna Piotrowska
- Department of Physiology, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland; (P.K.); (K.P.)
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Epigenetic Biomarkers for Environmental Exposures and Personalized Breast Cancer Prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041181. [PMID: 32069786 PMCID: PMC7068429 DOI: 10.3390/ijerph17041181] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/07/2020] [Accepted: 02/10/2020] [Indexed: 12/11/2022]
Abstract
Environmental and lifestyle factors are believed to account for >80% of breast cancers; however, it is not well understood how and when these factors affect risk and which exposed individuals will actually develop the disease. While alcohol consumption, obesity, and hormone therapy are some known risk factors for breast cancer, other exposures associated with breast cancer risk have not yet been identified or well characterized. In this paper, it is proposed that the identification of blood epigenetic markers for personal, in utero, and ancestral environmental exposures can help researchers better understand known and potential relationships between exposures and breast cancer risk and may enable personalized prevention strategies.
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Caspers M, Blocquiaux S, Charlier R, Lefevre J, De Bock K, Thomis M. Metabolic fitness in relation to genetic variation and leukocyte DNA methylation. Physiol Genomics 2019; 51:12-26. [DOI: 10.1152/physiolgenomics.00077.2018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Metabolic syndrome (MetS) is a highly prevalent condition causing increased risk of several life-threatening diseases. MetS has a pronounced hereditary basis but is also influenced by environmental factors, partly through epigenetic mechanisms. In this study, the five phenotypes underlying MetS were incorporated into a continuous score for metabolic fitness (MF), and associations with both genotypic variation and leukocyte DNA methylation were investigated. Baseline MF phenotypes (waist circumference, blood pressure, blood glucose, serum triglycerides, and high-density lipoproteins) of 710 healthy Flemish adults were measured. After a 10 yr period, follow-up measures were derived from 618 of these subjects. Genotyping was performed for 65 preselected MF-related genetic variants. Next, full genetic predisposition scores (GPSs) were calculated, combining genotype scores of multiple genetic variants. Additionally, stepwise GPSs were constructed, including only the most predictive genetic variants for the different MF phenotypes. For a subset of 68 middle-aged men, global and gene-specific DNA methylation was investigated, and a biological pathway analysis was performed. The full GPSs were predictive for some baseline MF phenotypes, but not for changes over time. Only a limited number of genetic variants were significantly predictive individually. On the contrary, global and gene-specific DNA methylation was associated with changes in the MF phenotypes rather than with the baseline measures, indicating that effects of DNA methylation on MF are somewhat delayed. Furthermore, several biological pathways were associated with the MF phenotypes through gene promoter methylation. For CETP, G6PC2, MC4R, and TFAP2B both a genetic and epigenetic relationship was found with MF.
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Affiliation(s)
- M. Caspers
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - S. Blocquiaux
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - R. Charlier
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - J. Lefevre
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - K. De Bock
- Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland
| | - M. Thomis
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
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