Evidence map›Paper›PMID 40540722›Full record

ReviewAging and disease2025

Exercise as a Metabolic Regulator: Targeting AMPK/mTOR-Autophagy Crosstalk to Counteract Sarcopenic Obesity.

Daoqi Zhang, Congfei Lu, Kai Sang

Abstract readReview
In one paragraph

Review in Aging and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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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

3 authors.

Daoqi ZhangSchool of Physical Education, Xinyang Normal University, Xinyang 464000, China.
Congfei LuPhysical Education and Sport Science, Fujian Normal University, Fuzhou 350117, China.
Kai SangBiomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenic obesity (SO), a geriatric syndrome characterized by the coexistence of progressive skeletal muscle atrophy and excessive adipose tissue accumulation, represents a growing public health challenge associated with aging populations. While multifactorial pathogenesis involves chronic inflammation, hormonal changes, and mitochondrial dysfunction, sedentary lifestyles and aging remain primary modifiable and non-modifiable risk factors, respectively. Mechanistically, exercise exerts dual therapeutic effects: (1) hypertrophy of type II muscle fibers through IGF-1/Akt/mTORC1 signaling activation, and (2) enhanced lipid β-oxidation via AMPK/PGC1α axis stimulation, thereby mitigating both sarcopenia and adiposity. The autophagy-lysosome system, a conserved cellular quality-control mechanism, orchestrates organelle turnover and nutrient recycling through three distinct pathways: macroautophagic, chaperone-mediated autophagy, and mitophagy. In SO, impaired proteolytic and lipolytic processes converge to induce autophagic flux blockade, manifested by accumulated p62/SQSTM1 and reduced LC3-II/LC3-I ratio. Targeting the AMPK/mTOR signaling nexus, which senses cellular energy status, emerges as a strategic intervention. Exercise-mediated ATP depletion activates AMPK while suppressing mTORC1, thereby synchronously inducing autophagy initiation (ULK1 phosphorylation) and lysosomal biogenesis (TFEB nuclear translocation). This metabolic reprogramming ultimately restores proteostasis and lipid homeostasis in myocytes and adipocytes.

Indexed as

AMP-Activated Protein KinasesAutophagyObesitySarcopeniaTOR Serine-Threonine KinasesAnimalsHumansSignal TransductionAMP-Activated Protein KinasesTOR Serine-Threonine Kinases

Identifiers

PMID40540722
PMCPMC13256514

What OpenQuestion holds

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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.