| Literature DB >> 29143608 |
Elisa Grazioli1, Ivan Dimauro1, Neri Mercatelli1, Guan Wang2, Yannis Pitsiladis1,2, Luigi Di Luigi3, Daniela Caporossi4.
Abstract
Epigenetic modification refers to heritable changes in gene function that cannot be explained by alterations in the DNA sequence. The current literature clearly demonstrates that the epigenetic response is highly dynamic and influenced by different biological and environmental factors such as aging, nutrient availability and physical exercise. As such, it is well accepted that physical activity and exercise can modulate gene expression through epigenetic alternations although the type and duration of exercise eliciting specific epigenetic effects that can result in health benefits and prevent chronic diseases remains to be determined. This review highlights the most significant findings from epigenetic studies involving physical activity/exercise interventions known to benefit chronic diseases such as metabolic syndrome, diabetes, cancer, cardiovascular and neurodegenerative diseases.Entities:
Keywords: DNA methylation; Disease prevention; Exercise; Histone modification
Mesh:
Year: 2017 PMID: 29143608 PMCID: PMC5688489 DOI: 10.1186/s12864-017-4193-5
Source DB: PubMed Journal: BMC Genomics ISSN: 1471-2164 Impact factor: 3.969
Main outcomes of human studies on physical activity, epigenetics and diseases
| Type of study | Subjects | PA assessment | Tissue Analysed | Results | References | |
|---|---|---|---|---|---|---|
| Cancer disease | OS | 45 healthy female | PA questionnaire | Breast | No significant correlation between PA and APC or RASSF1A methylation | [ |
| OS | 1154 people with colon cancer | PA questionnaire | Colon | No significant correlation between PA and number of methylated markers | [ | |
| OS | 106 people with gastric cancer | PA questionnaire (referent before cancer oneset) | Gastric | Significant correlation between PA and CACNA2D3 methylation. | [ | |
| OS | 750 people with rectum tumor | PA questionnaire | Rectum | No significant between PA and CIMP | [ | |
| OS | 131 healthy people | PA assessed over 4 days | Leukocytes | No significant correlation between PA and LINE-1 methylation | [ | |
| OS | 4654 healthy people | PA self-reported (occupational history) | Colorectal | No significant association between PA and CIMP tumors | [ | |
| IS | 12 female with breast cancer | 6 months of 2.5hrs per week of moderate intensity treadmill exercise | Leukocyte and breast | Significant association between PA and DNA methylation in a tumor suppressor gene (L3MBTL1) | [ | |
| OS/IS | 64 healthy male and female | PA self-reported over 7 days and 12 months | Buccal cells | Significant correlation between PA and DNA methylation of genes associated with carcinogenesis process | [ | |
| OS | 647 healthy female | PA self-reported at different times in | Leukocytes | No significant correlation between PA and LINE-1 DNA methylation | [ | |
| IS | 12 healthy men | Acute aerobic exercise ( 10, 2-min bouts of cycle ergometer exercise at a constant sub-maximal workload interspersed with 1-min rest) | Leukocytes | PA alter the expression of 986 genes and 23 miRNAs associated with cancer and cell communication in NK cells | [ | |
| Metabolic | IS | 14 young male and female | 2 sessions of acute exercise: low-intensity (40% V̇O2max); high intensity (80% V̇O2max) | Vastus lateralis | Significant hypometilation of PGC-1α, TFAM, PPARD, PDK4 | [ |
| IS | 15 men T2D FH+, 13 men T2D FH-
| 6 months aerobic exercise (3hrs per week: 1 session of 1h spinning; 2 sessions of 1h aerobic | Vastus lateralis | Significant correlation between PA and the methylation of markers associated with T2D (RUNX1, MEF2A, THADA, NDUFC2, ADIPOR1, ADIPOR2, BDKRB2) | [ | |
| IS | 31 men, 15 T2D FH+ and 16 T2D FH- | 6 months aerobic exercise (3hrs per week: 1 session of 1h spinning; 2 sessions of 1h aerobic | Adipose | Significant correlation between PA and the methylation of markers associated with obesity and T2D | [ | |
| IS | 17 T2D patients (13 female, 5 male) | 16weeks endurance exercise on cycle ergometer for 1 h/session at 60% V̇o2 peak (3 time per week) | Vastus Lateralis | Significant hypomethylation of the promoter region for | [ | |
| CDV disease | IS | 12 healthy men | 4 weeks of sprint interval training (3 per week, 249 min in total) | Leukocytes | Training induces specific leukocyte DNA methylation across MIR21 and MIR210 | [ |
| NDG disease | IS | 17 SZ male and female | 3 moths combined aerobic and strength training (1h 3 time per week. Aerobic: 20min walking at 60% max cardiorespiratory fitness; strength: 30min of 3 sets of 15 reps major muscle group) | PBMCs | Decrease of global histone H4 acetylation after 30, 60 and 90 days of the intervention. | [ |
CDV Cardiovascular, NDG Neurodegenerative, CIMP CpG Island Methylator Phenotype, FH+ Family History, FH- No Family History, IS Interventional study, OS Observational study, PA Physical activity, T2D Type 2 Diabetes, V̇O max Maximal oxygen uptake
Fig. 1Small-scale intervention protocols from human and animal studies focusing on the exercise-related epigenetic modulations in human diseases and/or in specific disease candidate genes. * Exercise-induced hypermethylation (ADAMT59, CPEB4, GRB14, ITPR2, LY86, LYPLAL1, MAP2K5, MSRA, MTIF3, MRXN3, PRKD1, SOCCAG8, STAB1, TBX15, TMEM160, ZNF608) or hypomethylation (GPRC58, TUB) in obesity candidate genes [85]. **Exercise-induced hypermethylation (ADAMT59, ADCY5, ARAP1, BCL11A, CDKAL1, CDKN2A, DGKB, DUSP8, FTO, HHEX, HMGA2, IGF2BP2, JAZF1, KCNQ1, PRC1, PROX1, PTPRD, TCF7L2, THADA, WFS1, ZBED3) or hypomethylation (KCNQ1, TCF7L2) in T2D candidate genes [85]