Evidence map›Paper›PMID 42162006›Full record

ArticleNPJ science of food2026

Molecular mechanisms underlying the ameliorative effects of crocodile head-derived bioactive peptides on DEX-induced muscle atrophy: insights from proteomics and gut microbiota analysis.

Hao Song, Linyuezhi Yan, Wenzhu Zhao, Zhipeng Yu

Abstract read
In one paragraph

Article in NPJ science of food, 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

4 authors.

Hao SongSchool of Food Science and Engineering, Hainan University, Haikou, P.R. China.
Linyuezhi YanSchool of Food Science and Engineering, Hainan University, Haikou, P.R. China.
Wenzhu ZhaoSchool of Food Science and Engineering, Hainan University, Haikou, P.R. China. zhaowenzhu777@163.com.
Zhipeng YuSchool of Food Science and Engineering, Hainan University, Haikou, P.R. China.

Funding

the International Science & Technology Cooperation Program of Hainan Province GHYF2024010
6 · The paper itself

Abstract

Muscle atrophy is relatively common among older adults and can markedly impair their physical function and overall quality of life. Crocodile head-derived bioactive peptides (CP), with high bioavailability and low allergenicity, show promise as a nutritional intervention. This study aimed to investigate the alleviating effects of CP on muscle atrophy and clarify their underlying action mechanisms. Results demonstrated that CP alleviated muscle atrophy-related weight loss, increasing gastrocnemius, quadriceps, and tibialis anterior muscle indices by 60%, 33%, and 28%. The lean body mass percentage increased by 3.7%, while the body fat rate decreased by 6%. Following CP administration, grip strength, motion displacement, and exhaustion time in mouse recovered to 1.71 N, 495 m, and 1130 s. Proteomic analysis revealed that CP potentially ameliorates muscle atrophy by modulating the AMPK signaling pathway to restore energy metabolism homeostasis, activating autophagy to clear dysfunctional organelles, and reprogramming lipid metabolism to suppress ectopic fat deposition in muscle tissue. Analysis of the gut microbiota further indicated that CP intervention significantly increased the abundance of beneficial bacteria, including Muribaculaceae, Allobaculum, Lactobacillus, Monoglobus, and Dubosiella. In conclusion, CP likely mitigates muscle atrophy progression via multi-target mechanisms, including modulation of energy metabolism, autophagy, lipid metabolism, and the gut microenvironment.

Identifiers

PMID42162006
PMCPMC13458708

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Registered trials

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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.