Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Human skeletal muscle methylome after low carbohydrate energy balanced exercise

Piotr P. Gorski, Daniel C. Turner, Juma Iraki, James P. Morton, View ORCID ProfileAdam P. Sharples, José L. Areta
doi: https://doi.org/10.1101/2023.01.19.524676
Piotr P. Gorski
1Institute for Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel C. Turner
1Institute for Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juma Iraki
2Iraki Nutrition, Lørenskog, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James P. Morton
3Research Institute for Sport and Exercise Sciences, John Moores University, Liverpool, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Adam P. Sharples
1Institute for Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Adam P. Sharples
  • For correspondence: j.l.areta@ljmu.ac.uk a.p.sharples@googlemail.com
José L. Areta
3Research Institute for Sport and Exercise Sciences, John Moores University, Liverpool, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: j.l.areta@ljmu.ac.uk a.p.sharples@googlemail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

We aimed to investigate the human skeletal muscle (SkM) DNA methylome after exercise in low carbohydrate (CHO) energy balance (with high fat) compared with exercise in low-CHO energy deficit (with low fat) conditions. The objective to identify novel epigenetically regulated genes and pathways associated with ‘train-low sleep-low’ paradigms. The sleep-low conditions included 9 males that cycled to deplete muscle glycogen while reaching a set energy expenditure. Post-exercise, low-CHO meals (protein-matched) completely replaced (using high-fat) or only partially replaced (low-fat) the energy expended. The following morning resting baseline biopsies were taken and the participants then undertook 75 minutes of cycling exercise, with skeletal muscle biopsies collected 30 minutes and 3.5 hours post exercise. Discovery of genome-wide DNA methylation was undertaken using Illumina EPIC arrays and targeted gene expression analysis was conducted by RT-qPCR. At baseline participants under energy balance (high fat) demonstrated a predominantly hypermethylated (60%) profile across the genome compared to energy deficit-low fat conditions. However, post exercise performed in energy balance (with high fat) elicited a more prominent hypomethylation signature 30 minutes post-exercise in gene regulatory regions important for transcription (CpG islands within promoter regions) compared with exercise in energy deficit (with low fat) conditions. Such hypomethylation was enriched within pathways related to: IL6-JAK-STAT signalling, metabolic processes, p53 / cell cycle and oxidative / fatty acid metabolism. Hypomethylation within the promoter regions of genes: HDAC2, MECR, IGF2 and c13orf16 were associated with significant increases in gene expression in the post-exercise period in energy balance compared with energy deficit. Furthermore, histone deacetylase, HDAC11 was oppositely regulated at the gene expression level compared with HDAC2, where HDAC11 was hypomethylated yet increased in energy deficit compared with energy balance conditions. Overall, we identify some novel epigenetically regulated genes associated with train-low sleep-low paradigms.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted January 20, 2023.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Human skeletal muscle methylome after low carbohydrate energy balanced exercise
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Human skeletal muscle methylome after low carbohydrate energy balanced exercise
Piotr P. Gorski, Daniel C. Turner, Juma Iraki, James P. Morton, Adam P. Sharples, José L. Areta
bioRxiv 2023.01.19.524676; doi: https://doi.org/10.1101/2023.01.19.524676
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Human skeletal muscle methylome after low carbohydrate energy balanced exercise
Piotr P. Gorski, Daniel C. Turner, Juma Iraki, James P. Morton, Adam P. Sharples, José L. Areta
bioRxiv 2023.01.19.524676; doi: https://doi.org/10.1101/2023.01.19.524676

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Physiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4105)
  • Biochemistry (8807)
  • Bioengineering (6508)
  • Bioinformatics (23443)
  • Biophysics (11783)
  • Cancer Biology (9196)
  • Cell Biology (13307)
  • Clinical Trials (138)
  • Developmental Biology (7428)
  • Ecology (11402)
  • Epidemiology (2066)
  • Evolutionary Biology (15140)
  • Genetics (10429)
  • Genomics (14036)
  • Immunology (9167)
  • Microbiology (22142)
  • Molecular Biology (8802)
  • Neuroscience (47528)
  • Paleontology (350)
  • Pathology (1427)
  • Pharmacology and Toxicology (2489)
  • Physiology (3729)
  • Plant Biology (8076)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2220)
  • Systems Biology (6035)
  • Zoology (1252)