Evidence mapPaperPMID 42601457Full record

ReviewPflugers Archiv : European journal of physiology2026

Long non-coding RNAs in exercise: the hidden regulators of adaptation.

Qin Zhang, Zhouren Zhang, Cai Ren, Ping Xiang, Xinhua Li, Ru Ren, Lianting Feng, Jicheng Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pflugers Archiv : European journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qin ZhangDepartment of Physical Education, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, 450046, China.
Zhouren ZhangCollege of Physical Education, Henan University of Economics and Law, Zhengzhou, Henan, 450046, China. zhouren-zhang@addcite.com.
Cai RenDepartment of Physical Education, Hainan Medical University, Haikou, Hainan, 571157, China.
Ping XiangSchool of healthcare, Chongqing Preschool Education College, Wanzhou District, Chongqing, 404047, China.
Xinhua LiDepartment of Physical Education, Hainan College of Economics and Business, Haikou, Hainan, 571157, China.
Ru RenDepartment of Neurology, Haikou City Hospital of Traditional Chinese Medicine, Haikou, Hainan, 571157, China.
Lianting FengRehabilitation Department, Hainan Women and Children's Medical Center, Haikou, Hainan, 571157, China.
Jicheng ChenDepartment of Physical Education, Hainan Medical University, Haikou, Hainan, 571157, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular physical activity elicits coordinated molecular adaptations across skeletal muscle, the cardiovascular system, metabolic organs and the brain, underpinning improvements in performance and cardiometabolic health. While classical signaling pathways such as AMPK-PGC‑1α, Ca²⁺/calcineurin, and mTORC1 have been extensively characterized, long non-coding RNAs (lncRNAs) have recently emerged as key regulators of exercise-induced remodeling. Here, we synthesize current evidence on lncRNAs as molecular mediators of exercise adaptations, drawing on mechanistic studies and systems-level transcriptomics. In skeletal muscle, the exercise-induced lncRNAs CYTOR and TUG1 modulate fast-twitch myogenesis, mitochondrial function and fiber-type specification. In the heart, CPhar, lncExACT1 and Mhrt779 discriminate physiological from pathological hypertrophy and encode antihypertrophic "memory," whereas endothelial NEAT1 integrates aerobic training with m⁶A-modulated pyroptosis and atheroprotection. MALAT1 mediates neuroprotection after exercise preconditioning in ischemia/reperfusion models. Omics and network analyses reveal highly modality-, tissue- and cell-type-specific lncRNA programs during human training and across multiple organs. Emerging clinical data support circulating lncRNAs such as MALAT1 and HOTTIP as candidate biomarkers of vascular function and training adaptation. Collectively, lncRNAs constitute a hidden regulatory layer that shapes the quality, magnitude and persistence of exercise-induced adaptations. However, mechanistic evidence is currently limited to a small number of "flagships" lncRNAs, and non-muscle tissues and inter-organ communication remain underexplored. Priorities include functional validation of atlas-derived candidates, dissection of exerkine lncRNAs, and integration of lncRNA biology into precision exercise medicine.

Indexed as

Adaptation, PhysiologicalExerciseRNA, Long NoncodingAnimalsHumansMuscle, SkeletalRNA, Long NoncodingCardiac hypertrophyEpigenetic adaptationExrciseeLong non-coding RNASkeletal muscle

Identifiers

PMID42601457

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.