Evidence map›Paper›PMID 40631796›Full record

ArticleAging cell2025

Transcriptional Diversity in Response to Aging Across Skeletal Muscles.

Can Liu, Dongbin Zheng, Rui Zhang, Hong Li, Xingyan Tong, Yujie Wu, Geng Zhang, Siyuan Wang, Hongyu Chen, Zhinong Ren and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

16 authors.

Can LiuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Dongbin ZhengState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Rui ZhangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Hong LiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Xingyan TongState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Yujie WuDepartment of Geriatics, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Geng ZhangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Siyuan WangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Hongyu ChenState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Zhinong RenState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Ying SunDepartment of Geriatics, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of Chengdu, Chengdu, Sichuan, China.
Chengdong WangChina Conservation and Research Centre for the Giant Panda, Chengdu, Sichuan, P. R. China.
Desheng LiChina Conservation and Research Centre for the Giant Panda, Chengdu, Sichuan, P. R. China.
Xuewei LiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Mingzhou LiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID 0000-0001-8681-7684
Long JinState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID 0000-0002-6055-4692

Funding

National Key Research and Development Program of China 2021YFA0805903National Key Research and Development Program of China 2022YFD1301200the National Natural Science Foundation of China 32225046the National Natural Science Foundation of China 32272837the National Natural Science Foundation of China 32341050the National Natural Science Foundation of China 32421005the National Natural Science Foundation of China 82102575the Program for Pig Industry Technology System Innovation Team of Sichuan Province SCCXTD-2024-08the Sichuan Science and Technology Program 2021YFYZ0009the Sichuan Science and Technology Program 2021YFYZ0030the Sichuan Science and Technology Program 2021ZDZX0008
6 · The paper itself

Abstract

Aging leads to a gradual decline in muscle function, yet the mechanisms by which different skeletal muscles respond to aging remain unclear. Here, we constructed transcriptional maps of 11 skeletal muscles with extensive transcriptional diversity from young and old mice. Age-related changes in gene expression displayed distinct tissue-specific patterns, involving muscle diseases and metabolic processes. Notably, the mitochondrial-enriched soleus muscle exhibited superior resistance to aging compared to other skeletal muscles. Further, we generated a single-nuclei transcriptomic atlas on representative skeletal muscles, analyzing 73,170 nuclei. We found the age-related changes in the cellular composition of different skeletal muscles and the emergence of new cell states in aged mice. Among different types of myonuclei, type II myonuclei showed particular sensitivity to aging, with reduced metabolic activity of IIb myonuclei with age. We also found cell-specific changes occurring across nonmuscle nuclei populations, including adipocytes, fibro-adipogenic progenitors, and immune cells, accelerating muscle aging and associated pathologies. Intercellular communication analysis revealed more intensive intercellular interactions in aged skeletal muscles, particularly between myonuclei and other cell types. Specifically, we validated the regulatory role of the EGF/EGFR axis in age-related inflammatory processes. These findings provide insight into muscle biology and aging and highlight potential therapeutic targets for age-associated muscle disorders.

Indexed as

AgingMuscle, SkeletalTranscription, GeneticAnimalsMaleMiceMice, Inbred C57BLTranscriptomeagingEGF/EGFRmyonucleiskeletal musclestranscriptional diversity

Identifiers

PMID40631796
PMCPMC12419864

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.