Evidence map›Paper›PMID 26447161›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2016

Resistance Training Enhances Skeletal Muscle Innervation Without Modifying the Number of Satellite Cells or their Myofiber Association in Obese Older Adults.

María Laura Messi, Tao Li, Zhong-Min Wang, Anthony P Marsh, Barbara Nicklas, Osvaldo Delbono

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. The effects of resistance training on denervated myofibers, senescent cells, and associated protein markers in middle-aged adults.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

María Laura MessiDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine and J Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Tao LiDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine and J Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Zhong-Min WangDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine and J Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Anthony P MarshDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
Barbara NicklasDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine and J Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Osvaldo DelbonoDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine and J Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina. odelbono@wakehealth.edu.
Wake Forest University · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
Tropin T and Excitation-Contraction Coupling in Aging Skeletal MuscleR01AG013934 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DELBONO, OSVALDO · 2001 to 2017
$4.7M
Loss of fat tissue and functional responses to exercise in older, obese adultsR01AG020583 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI NICKLAS, BARBARA J · 2002 to 2013
$4.0M
NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG013934NIA NIH HHS R01 AG020583
6 · The paper itself

Abstract

Studies in humans and animal models provide compelling evidence for age-related skeletal muscle denervation, which may contribute to muscle fiber atrophy and loss. Skeletal muscle denervation seems relentless; however, long-term, high-intensity physical activity appears to promote muscle reinnervation. Whether 5-month resistance training (RT) enhances skeletal muscle innervation in obese older adults is unknown. This study found that neural cell-adhesion molecule, NCAM+ muscle area decreased with RT and was inversely correlated with muscle strength. NCAM1 and RUNX1 gene transcripts significantly decreased with the intervention. Type I and type II fiber grouping in the vastus lateralis did not change significantly but increases in leg press and knee extensor strength inversely correlated with type I, but not with type II, fiber grouping. RT did not modify the total number of satellite cells, their number per area, or the number associated with specific fiber subtypes or innervated/denervated fibers. Our results suggest that RT has a beneficial impact on skeletal innervation, even when started late in life by sedentary obese older adults.

Indexed as

AgedCD56 AntigenCore Binding Factor Alpha 2 SubunitFemaleHumansMaleMuscle Fibers, Fast-TwitchMuscle Fibers, Slow-TwitchMuscle, SkeletalMuscle StrengthNorth CarolinaObesityResistance TrainingSatellite Cells, Skeletal MuscleCD56 AntigenCore Binding Factor Alpha 2 SubunitNCAM1 protein, humanRUNX1 protein, humanAgingDenervationExerciseSatellite CellsSkeletal Muscle

Identifiers

PMID26447161
PMCPMC5018557
OpenAlexW2207581640

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.