Evidence map›Paper›PMID 41612743›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Peptide OH-CATH30 Mitigates Cachexia-Induced Muscle Atrophy via Modulation of TLR4-Associated Inflammation.

Qiquan Wang, Jian Li, Mengqi Yang, Caifen Guo, Ming Zhang, Chunping Huang, Xiang Wang, Dongqin Zhang, Lin Zeng, Hao Ke and 6 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Qiquan WangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Jian LiDepartment of Sports Medicine, The Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, China.
Mengqi YangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Caifen GuoDepartment of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Ming ZhangDepartment of Radiation Therapy, Yunnan Cancer Hospital/Third Affiliated Hospital of KunMing Medical University, Kunming, China.
Chunping HuangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Xiang WangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Dongqin ZhangHeartSeek Biotechnology, Kunming, China.
Lin ZengInstitutional Center for Shared Technologies and Facilities of the Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Hao KeMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Yunling WenDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Shengan LiDepartment of Pathogen Biology and Immunology, Faculty of Basic Medical Science, Kunming Medical University, Kunming, Yunnan, China.
Wenhui LeeKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Key Laboratory of Bioactive Peptides of Yunnan Province, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming, China.
Limin ZhaoMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Xinqiang LanMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Yang XiangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.ORCID https://orcid.org/0000-0003-3016-0323

Funding

Guizhou Province (Qiankehebasis-ZK [2024] general 241)Jiangxi Province 2024SSY07161Jiangxi Province 20252BAC200654Jiangxi Province 20252BAC240704Key Medical Discipline Construction Project of Guizhou Provincial Health Commission 2025-2026Nanchang University 28740105National Key R&D Program, Ministry of Science and Technology of China 2023YFC3603300National Key R&D Program, Ministry of Science and Technology of China 2023YFF1001000National Natural Science Foundation of China 32360136National Natural Science Foundation of China 82360107National Natural Science Foundation of China 82460283National Natural Science Foundation of China 82471591National Natural Science Foundation of China 82560284
6 · The paper itself

Abstract

backgroundCachexia, characterized by severe weight loss and muscle atrophy, frequently occurs in chronic conditions such as sepsis, cancer and chemotherapy, with limited effective treatments. Despite similar clinical manifestations, the underlying mechanisms across different disease contexts remain unclear. Identifying common pathways could lead to novel therapies. This study examines the role of Toll-like receptor 4 (TLR4), which is upregulated in various cachexia models, and assesses the therapeutic potential of the TLR4-inhibiting peptide OH-CATH30 in mitigating muscle atrophy.

methodsIn vivo models using 8-week-old mice treated with lipopolysaccharide (LPS), 4T1 tumour cells and cisplatin were used to investigate common pathways in cachexia. In vitro models were established by treating C2C12 myotubes with TNF-α, 4T1 culture supernatants and cisplatin. OH-CATH30's effects on muscle atrophy were assessed by measuring myotube diameter, grip strength, muscle weight and muscle fibre cross-sectional area (CSA) via H&E staining. RNA-seq, qPCR, ELISA and Western blotting were performed to explore pathways in cachexia-induced muscle atrophy and OH-CATH30's action mechanism.

resultsTranscriptomic analysis showed significant enrichment of inflammation and protein degradation pathways in skeletal muscle in LPS-induced sepsis, 4T1 tumour-induced cancer cachexia and cisplatin-induced cachexia models, with upregulated expression of TLR4 pathway genes such as Cd14, Tlr4 and Irak4 (p < 0.05). In myotube atrophy models induced by TNF-α, 4T1 and cisplatin, OH-CATH30 significantly increased MyHC protein levels (p < 0.05) and myotube diameter (p < 0.05). In mouse cachexia models induced by LPS, 4T1 and cisplatin, OH-CATH30 treatment significantly increased body weight (p < 0.05), muscle weight (p < 0.001), CSA (p < 0.05) and improved grip strength (p < 0.05). Transcriptomic analysis further revealed that OH-CATH30 treatment downregulated expression of inflammation and protein degradation-related genes across all cachexia models. In 4T1-treated mice, qPCR confirmed OH-CATH30 reduced mRNA levels of Il6 (p = 0.05), Mstn (p < 0.0001) and protein degradation genes such as Trim63, Fbxo32, Bnip3, Gabarapl1 and Ulk1 (p < 0.05). ELISA showed reduced serum IL-6 levels, and Western blot confirmed downregulation of atrogin1 (p < 0.05) and autophagy marker LC3II (p < 0.05) with OH-CATH30 treatment. Pharmacological inhibition of TLR4 using TAK-242 recapitulated the protective effects of OH-CATH30, with no additive benefit observed (p > 0.05).

conclusionsOur findings underscore the critical role of TLR4 signalling in cachexia-associated muscle wasting across different disease contexts and demonstrate the efficacy of OH-CATH30, a TLR4 inhibitor, in alleviating muscle atrophy in various cachexia models.

Indexed as

CachexiaInflammationMuscular AtrophyPeptidesToll-Like Receptor 4AnimalsDisease Models, AnimalFemaleMiceMuscle, SkeletalPeptidesTlr4 protein, mouseToll-Like Receptor 4cachexiainflammationmuscle atrophyOH‐CATCH30protein degradationTLR4

Identifiers

PMID41612743
PMCPMC12856054

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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.