Cited by 157Muscle Physiology and DisordersNutrition and Health in AgingMuscle metabolism and nutrition

Skeletal muscle regeneration and impact of aging and nutrition

Domingues-Faria, Carla, Vasson, Marie-Paule, Goncalves-Mendes, Nicolas, Boirie, Yves, Walrand, Stephane·2016·Ageing Research Reviews

Abstract

After skeletal muscle injury a regeneration process takes place to repair muscle. Skeletal muscle recovery is a highly coordinated process involving cross-talk between immune and muscle cells. It is well known that the physiological activities of both immune cells and muscle stem cells decline with advancing age, thereby blunting the capacity of skeletal muscle to regenerate. The age-related reduction in muscle repair efficiency contributes to the development of sarcopenia, one of the most important factors of disability in elderly people. Preserving muscle regeneration capacity may slow the development of this syndrome. In this context, nutrition has drawn much attention: studies have demonstrated that nutrients such as amino acids, n-3 polyunsaturated fatty acids, polyphenols and vitamin D can improve skeletal muscle regeneration by targeting key functions of immune cells, muscle cells or both. Here we review the process of skeletal muscle regeneration with a special focus on the cross-talk between immune and muscle cells. We address the effect of aging on immune and skeletal muscle cells involved in muscle regeneration. Finally, the mechanisms of nutrient action on muscle regeneration are described, showing that quality of nutrition may help to preserve the capacity for skeletal muscle regeneration with age.

Integrity signals

Registry

Crossref · 10.1016/j.arr.2015.12.004

Cites

176 of 176 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Chronic inflammation during ageing is associated with increased pro-inflammatory cytokines TNF-α and IL-6 compared to younger individuals due to possible dysregulation in immune cell function.

    “On the other hand, chronic inflammation observed during ageing is associated with an increase in pro-inflammatory cytokines (compared to younger individuals) such as TNF-α and IL-6 due to possible dysregulation in immune cell function [59,76].”

Cites

Flagged first, then by citations

2 of the 178 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Domingues-Faria, C., Vasson, M.-P., Goncalves-Mendes, N., Boirie, Y., & Walrand, S.
Affiliations
Université Clermont Auvergne (FR)
Venue
Ageing Research Reviews
Publisher
Elsevier BV
Published
2016-03
Volume
26
Pages
22-36
ISSN
1568-1637 (ISSN-L)
OpenAlex
W2193057007
Cited by
157
References
178
Citations by year
2026: 8 · 2025: 21 · 2024: 17 · 2023: 21 · 2022: 22 · 2021: 18 · 2020: 12 · 2019: 10 · 2018: 14 · 2017: 8 · 2016: 6
FWCI
0.91
Type
journal article
Language
en
Open access
closed
Locations
  • Ageing Research Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
Keywords
skeletal muscle regeneration, muscle aging, sarcopenia, muscle stem cells, immune cells, nutrition, amino acids, omega-3 fatty acids, polyphenols, vitamin D, muscle injury repair
MeSH terms
Immunosenescence, Aging, Humans, Nutritional Status, Regeneration, Muscle Fibers, Skeletal, Sarcopenia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review