Evidence map›Paper›PMID 41568005›Full record

ReviewFrontiers in cellular and infection microbiology2025

A review of omics studies in sarcopenia: from molecular mechanisms to hepatic-gut-muscle interactions in chronic liver disease comorbidity.

Xiaohui Xue, Jun Xu, Huijuan Wang, Kainan Wang, Yumu Chen, Yiting Xu, Shuping Que, Zhengtao Liu

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Xiaohui Xue *Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Jun Xu *NHC Key Laboratory of Combined Multi-Organ Transplantation, Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Huijuan WangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Kainan WangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Yumu ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Yiting XuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Shuping QueYa-er-zhuang Clinics, Hangzhou, China.
Zhengtao LiuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is an aging-related skeletal-muscle disorder characterized by progressive loss of muscle mass, strength, and function, and it frequently co-occurs with chronic liver disease (CLD) and other comorbidities. Conventional approaches struggle to resolve its pronounced heterogeneity, whereas multi-omics technologies now offer a systematic, molecular-level avenue to dissect its pathogenesis. By integrating ten omics studies of sarcopenia and six of CLD-associated sarcopenia, we propose a dual-layer "commonality-specificity" framework. At the level of commonality, we identify four core pathological pillars: proteostasis imbalance, mitochondrial dysfunction, chronic inflammation, and dysregulation of the gut-muscle axis. At the specificity level, focusing on the CLD context, we observe that these networks are selectively perturbed within the liver-disease microenvironment, leading us to advance the "cooperative accumulation of multiple weak signals" hypothesis to explain how multi-axis crosstalk drives muscle wasting in this setting. To date, omics findings remain largely correlational, posing challenges for clinical translation. Future investigations should integrate cutting-edge technologies-such as single-cell multi-omics, spatial transcriptomics, and computational modeling-to shift the research paradigm from static profiling to dynamic mechanistic dissection and precision intervention. This review provides both a theoretical foundation and a developmental roadmap for comprehensively understanding the mechanisms underlying sarcopenia comorbidities and for achieving precision diagnosis and treatment.

Indexed as

LiverLiver DiseasesMuscle, SkeletalSarcopeniaAnimalsChronic DiseaseComorbidityGastrointestinal TractHumansMultiomicsProteomicsagingchronic liver diseasegastrointestinal flora imbalancegut-muscle axismuscle-liver axisomics analysissarcopenia

Identifiers

PMID41568005
PMCPMC12816193

What Socratic 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 Socratic graph.