Evidence mapPaperPMID 39831549Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2025

Differential transcriptomic profiling of lipid metabolism and collagen remodeling in fast- and slow-twitch skeletal muscles in aging.

Yujia Liu, Guofang Xia, Simeng Zhu, Yifan Shi, Xueping Huang, Jin Wu, Congfeng Xu, Ailian Du

Abstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2025. 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. Article
  2. Article
  3. Article
  4. Differential transcriptomic profiling of lipid metabolism and collagen remodeling in fast- and slow-twitch skeletal muscles in aging.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    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

8 authors.

Yujia LiuDepartment of Neurology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0000-9172-8053
Guofang XiaDepartment of Cardiology, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.ORCID https://orcid.org/0000-0002-4345-2491
Simeng ZhuDepartment of Cardiology, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.ORCID https://orcid.org/0000-0002-1023-4690
Yifan ShiDepartment of Cardiology, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.ORCID https://orcid.org/0009-0003-6535-1039
Xueping HuangDepartment of Neurology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0001-9851-0097
Jin WuDepartment of Pediatric Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0006-3267-3869
Congfeng XuDepartment of Cardiology, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.ORCID https://orcid.org/0000-0002-8009-4865
Ailian DuDepartment of Neurology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-0709-923X

Funding

Key Specialties Fund of Shanghai Songjiang District 24SJYXZDB02Medical and Engineering Crossover Fund of Shanghai Jiao Tong University YG2024ZD27MOST | National Natural Science Foundation of China (NSFC) 31870885MOST | National Natural Science Foundation of China (NSFC) 81971181MOST | National Natural Science Foundation of China (NSFC) 82171812
6 · The paper itself

Abstract

Skeletal muscle function gradually declines with aging, presenting substantial health and societal challenges. Comparative analysis of how aging affects fast- and slow-twitch muscles remains lacking. We utilized 20-month-old mice to reveal the aging effects on muscle structure and fiber composition, followed by bulk RNA sequencing for fast- and slow-twitch muscles and integration with human single-cell RNA sequencing dataset providing a comparative analysis across species. In mouse slow-twitch muscles, aging induced a switch from fast to slow fibers and distinctively altered lipid metabolism in ceramide and triglyceride, with the upregulation of regulatory genes Gk and Ppargc1a also observed in human slow fibers. Additionally, both types of muscles exhibited common collagen deposition and fibrosis, possibly due to the imbalance between collagen synthesis and degradation. The extracellular matrix gene changes substantially overlapped between mice and humans in aging, yet also highlighted clear differences. This integrative analysis provides further understanding of aged fast- and slow-twitch muscles and offers new insights into the molecular changes in aging.

Indexed as

AgingCollagenLipid MetabolismMuscle Fibers, Fast-TwitchMuscle Fibers, Slow-TwitchMuscle, SkeletalTranscriptomeAnimalsGene Expression ProfilingHumansMaleMiceMice, Inbred C57BLCollagenagingfast‐twitch fiberRNA‐seqskeletal musclesslow‐twitch fiber

Identifiers

PMID39831549
PMCPMC11744740

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.