Evidence mapPaperPMID 40759809Full record

ReviewMolecular and cellular biochemistry2025

AMPK/mTOR balance during exercise: implications for insulin resistance in aging muscle.

Xie Mingzheng, Weng You

Abstract readReview
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In one paragraph

Review in Molecular and cellular biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
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  8. Review
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.

Xie MingzhengCollege of Physical Education and Sports Science, Hengyang Normal University, Hengyang, 421002, Hunan, China.
Weng YouDepartment of Physical Education, Changsha Civil Affairs Vocational and Technical College, Changsha, 410004, Hunan, China. wengyouy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related reductions in skeletal muscle insulin responsiveness promote metabolic dysregulation and contribute to an elevated probability of type 2 diabetes onset. The malfunction of nutrient-responsive signaling routes, specifically AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR), constitutes a central component of this biological process. The integrated activity of these kinases in controlling energy dynamics, protein formation, and glucose processing is fundamental to ensure metabolic homeostasis in skeletal muscle tissue. Through its modulation of AMPK and mTOR pathways, exercise helps reinstate signaling equilibrium and supports better insulin efficacy in aging skeletal muscle. This review explores the molecular mechanisms by which different forms of exercise-endurance, resistance, and combined training-modulate the AMPK/mTOR axis in aging muscle. This analysis focuses on exercise-induced AMPK signaling as a catalyst for mitochondrial development, enhanced glucose processing, and intensified fatty acid breakdown, while also temporally coordinating mTOR activity to support muscle maintenance without exacerbating insulin resistance. By integrating insights from aging biology, exercise physiology, and molecular metabolism, this review highlights the therapeutic potential of targeting AMPK/mTOR signaling through physical activity to combat insulin resistance in the elderly.

Indexed as

AgingAMP-Activated Protein KinasesExerciseInsulin ResistanceMuscle, SkeletalTOR Serine-Threonine KinasesAnimalsHumansSignal TransductionAMP-Activated Protein KinasesMTOR protein, humanTOR Serine-Threonine KinasesAMPKExercise interventionInsulin resistancemTORSkeletal muscle aging

Identifiers

PMID40759809

What Socratic 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 Socratic graph.