Evidence map›Paper›PMID 41350981›Full record

ArticleBMC geriatrics2025

Associations of high protein supplements with gut microbiota and skeletal muscle mass in hospitalized older people.

Ying Chen, Yuezhu Wang, Wei Ran, Xueneng Lai, Zhi Yuan, Yongqiang Zhu, Huajun Zheng, Ying Wang

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ying Chen *Department of Clinical Nutrition, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
Yuezhu Wang *Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200032, China.
Wei RanDepartment of Clinical Nutrition, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
Xueneng LaiSchool of Food Science and Engineering, South China University of Technology, Guangzhou, Guangdong, 510640, China.
Zhi YuanKangLeNianHua elderly care institutions, Yuhua District, Changsha, Hunan, 410000, China.
Yongqiang ZhuShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200032, China.
Huajun ZhengShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200032, China. zhenghj@chgc.sh.cn.
Ying WangDepartment of Clinical Nutrition, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China. 18916484569@163.com.

Funding

Startup Foundation for Scientific Research of Shanghai Fourth People's Hospital sykyqd01601the Discipline Promotion Programme of Shanghai Fourth People's Hospital SY-XKZT-2020-1010the Discipline Promotion Programme of Shanghai Fourth People's Hospital SY-XKZT-2024-2003
6 · The paper itself

Abstract

BACKGROUND/

objectiveProlonged bed rest is highly prevalent among hospitalized older adults and markedly accelerates the loss of muscle mass and physical function. Currently, there are no effective interventions to counteract this decline, and the underlying mechanisms remain poorly characterized. This study aimed to investigate whether high protein intake can simultaneously modulate muscle mass and the gut microbiota, and whether gut microbial composition mediates muscle regulation in hospitalized older people.

methodsA self-controlled study was conducted on 43 older patients aged 60 to 90 years old with low skeletal muscle mass. During the 3-month intervention phase, all participants received approximately 36 g of high-protein supplementation daily, comprising both casein and whey proteins. This was followed by a 3-month control phase in which participants received standard nursing care without protein supplementation.

resultsA significant increase in skeletal muscle mass index from baseline was seen in male group at 3 months (6.0–6.3 kg/m2) but declined to 6.1 kg/m2 at 6 months (P < 0.05). No significant changes were observed in females (P > 0.05). Gut microbiota analysis revealed that bacterial diversity and microbial structure were affected by protein supplementation and differed by sex. Males exhibited a greater abundance of SMI- and SMM-associated beneficial bacteria following protein intake. Furthermore, metabolic pathway analysis indicated that microbial functions related to amino acid synthesis were positively correlated with SMI-linked species such as Blautia wexlerae and Corynebacterium dentalis.

conclusionsHigh-protein supplementation may promote muscle anabolism in hospitalized older males by modulating the composition and metabolic function of the gut microbiota, specifically by enhancing microbial pathways related to amino acid synthesis. These results suggest the presence of a gut-muscle axis and highlight the potential of targeted protein interventions to counteract inactivity-related muscle loss in older patients.

trial registrationThe trial was registered at Chinese Clinical Trial Registry with identifier ChiCTR2400085432 on 07/06/2024.

Indexed as

Dietary ProteinsDietary SupplementsGastrointestinal MicrobiomeHospitalizationMuscle, SkeletalSarcopeniaAgedAged, 80 and overBed RestFemaleHumansMaleMiddle AgedWhey ProteinsDietary ProteinsWhey ProteinsBedriddenGut microbiotaHospitalized older peopleInactivity-related muscle lossProtein supplementSarcopenia

Identifiers

PMID41350981
PMCPMC12681135

What Socratic holds

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LicenceCC BY-NC-ND
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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.