Evidence map›Paper›PMID 40914973›Full record

ReviewThe Journal of physiology2026

Integrative physiology of skeletal muscle for maintaining cognitive health.

Matthew H Brisendine, Joshua C Drake

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. A peripheral perspective on brain health: vascular and skeletal muscle contributions.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  2. Article
  3. Review
  4. 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

2 authors.

Matthew H BrisendineDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-9599-1000
Joshua C DrakeDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-6658-4975

Funding

Re-entry Supplement associated with R01AG08073R01AG080731 · NIA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Josh C Drake · 2023 to 2026
$2.8M
Neuromuscular adaptation to exercise in Alzheimer's DiseaseK02AG088474 · NIA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Josh C Drake · 2025 to 2026
$304k
NIA NIH HHS K02 AG088474NIA NIH HHS R01 AG080731
6 · The paper itself

Abstract

Cognitive decline and physical impairment are often linked with ageing, contributing to declines in health span and loss of independence in older adults. Pathological cognitive decline with age is largely considered to be a brain-centric challenge. However, recent findings have begun to challenge this paradigm as the health of peripheral systems, namely skeletal muscle, predict cognitive decline associated with Alzheimer's disease (AD). Loss of muscle strength (dynapenia), loss of muscle mass (sarcopenia) and associated impairment in peripheral motor nerves and neuromuscular junctions have all been shown to either precede or coincide with AD pathology in the brain. The importance for skeletal muscle is also demonstrated in its role as an endocrine organ, secreting factors like brain-derived neurotrophic factor that promote neurogenesis in the brain. In this review we summarize the importance of skeletal muscle for cognition and discuss how the health of skeletal muscle and peripheral motor nerves may be novel sentinels for AD risk.

Indexed as

CognitionMuscle, SkeletalAgingAlzheimer DiseaseAnimalsCognitive DysfunctionHumansSarcopeniaageingAlzheimer's diseasecognitionmotor neuronneuromuscular junctionsskeletal muscle

Identifiers

PMID40914973
PMCPMC12997024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.