Evidence map›Paper›PMID 27382038›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

Age-related Differences in Dystrophin: Impact on Force Transfer Proteins, Membrane Integrity, and Neuromuscular Junction Stability.

David C Hughes, George R Marcotte, Andrea G Marshall, Daniel W D West, Leslie M Baehr, Marita A Wallace, Perrie M Saleh, Sue C Bodine, Keith Baar

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Chronic βThe Journal of physiology · 2018
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cyclo His-Pro Attenuates Muscle Degeneration in Murine Myopathy Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. iScience · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Ubiquitin Ligases in Longevity and Aging Skeletal Muscle.International journal of molecular sciences · 2022
    Review
  17. CORP: Gene delivery into murine skeletal muscle using in vivo electroporation.Journal of applied physiology (Bethesda, Md. : 1985) · 2022
    Review
  18. Article
  19. Effects of Focused Vibrations on Human Satellite Cells.International journal of molecular sciences · 2022
    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

9 authors at 2 institutions in 1 country.

David C HughesDepartment of Neurobiology, Physiology and Behavior and.
George R MarcotteDepartment of Neurobiology, Physiology and Behavior and.
Andrea G MarshallDepartment of Neurobiology, Physiology and Behavior and.
Daniel W D WestDepartment of Physiology and Membrane Biology, University of California, Davis.
Leslie M BaehrDepartment of Physiology and Membrane Biology, University of California, Davis.
Marita A WallaceDepartment of Neurobiology, Physiology and Behavior and.
Perrie M SalehDepartment of Neurobiology, Physiology and Behavior and.
Sue C BodineDepartment of Neurobiology, Physiology and Behavior and.
Keith BaarDepartment of Neurobiology, Physiology and Behavior and.
University of California, Davis · USVA Northern California Health Care System · US

Funding

LAT1 and the development of anabolic resistanceR01AG045375 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BAAR, KEITH · 2014 to 2018
$1.7M
Mechanisms Involved in Age-Related Loss of Muscle Mass and Growth ResponseI01RX000673 · VA · VA NORTHERN CALIFORNIA HEALTH CARE SYS · PI BODINE, SUE C · 2012 to 2015
–
NIA NIH HHS R01 AG045375RRD VA I01 RX000673
6 · The paper itself

Abstract

The loss of muscle strength with age has been studied from the perspective of a decline in muscle mass and neuromuscular junction (NMJ) stability. A third potential factor is force transmission. The purpose of this study was to determine the changes in the force transfer apparatus within aging muscle and the impact on membrane integrity and NMJ stability. We measured an age-related loss of dystrophin protein that was greatest in the flexor muscles. The loss of dystrophin protein occurred despite a twofold increase in dystrophin mRNA. Importantly, this disparity could be explained by the four- to fivefold upregulation of the dystromir miR-31. To compensate for the loss of dystrophin protein, aged muscle contained increased α-sarcoglycan, syntrophin, sarcospan, laminin, β1-integrin, desmuslin, and the Z-line proteins α-actinin and desmin. In spite of the adaptive increase in other force transfer proteins, over the 48 hours following lengthening contractions, the old muscles showed more signs of impaired membrane integrity (fourfold increase in immunoglobulin G-positive fibers and 70% greater dysferlin mRNA) and NMJ instability (14- to 96-fold increases in Runx1, AchRδ, and myogenin mRNA). Overall, these data suggest that age-dependent alterations in dystrophin leave the muscle membrane and NMJ more susceptible to contraction-induced damage even before changes in muscle mass are obvious.

Indexed as

AgingAnimalsBlotting, WesternDystrophinElectric StimulationImmunohistochemistryMuscle ContractionMuscle ProteinsMuscle, SkeletalNeuromuscular JunctionNeuromuscular Junction DiseasesRatsRats, Inbred F344RNADystrophinMuscle ProteinsRNAAgingDystrophin-associated glycoprotein complexForce transmissionRegenerationSkeletal muscle

Identifiers

PMID27382038
PMCPMC5861877
OpenAlexW2462672865

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.