Evidence map›Paper›PMID 37591518›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Prevotella copri alleviates sarcopenia via attenuating muscle mass loss and function decline.

Xiaolei Liu, Jiqiu Wu, Jingyi Tang, Zhigang Xu, Bailing Zhou, Yang Liu, Fengjuan Hu, Gongchang Zhang, Rui Cheng, Xin Xia and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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

18 authors at 3 institutions in 2 countries.

Xiaolei LiuNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Jiqiu WuWest China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.
Jingyi TangNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Zhigang XuNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Bailing ZhouState Key Laboratory of Biotherapy and Cancer Center/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Yang LiuDepartment of Medical oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Medicine School of University of Electronic Science and Technology, Chengdu, China.
Fengjuan HuNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Gongchang ZhangNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Rui ChengNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Xin XiaNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Yilong ChenWest China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.
Hongyu WuThe College of Life Sciences, Sichuan University, Chengdu, China.
Daoming WangDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jirong YueNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Biao DongNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Jingyuan FuDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Haopeng YuWest China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.
Birong DongNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-2601-5855
Sichuan University · CNUniversity Medical Center Groningen · NLSichuan Cancer Hospital · CN

Funding

1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University, Project of Max Cynader Academy of Brain Workstation, WCHSCU HXYS19005Chengdu Science and Technology Bureau Major Science and Technology Application Demonstration Project 2019YF0900083SNChina Scholarship Council CSC 202108510037Dutch Heart Foundation IN-CONTROL CVON2018-27ERC Consolidator Grant 101001678National Clinical Research Center for Geriatric, West China Hospital, Sichuan University Z2018B09National Natural Science Foundation of China 32100927National Natural Science Foundation of China 82101653NWO-VICI Grant VI.C.202.022Project of the Sichuan Province Science and Technology 2021YFS0158The Netherlands Organ-on-Chip Initiative, an NWO Gravitation Project 024.003.001West China Hospital Postdoctoral Fund 2020HXBH011
6 · The paper itself

Abstract

backgroundThe gut microbiome and fecal metabolites have been found to influence sarcopenia, but whether there are potential bacteria that can alleviate sarcopenia has been under-investigated, and the molecular mechanism remains unclear.

methodsTo investigate the relationships between the gut microbiome, fecal metabolites and sarcopenia, subjects were selected from observational multi-ethnic study conducted in Western China. Sarcopenia was diagnosed according to the criteria of the Asian Working Group for Sarcopenia 2014. The gut microbiome was profiled by shotgun metagenomic sequencing. Untargeted metabolomic analysis was performed to analyse the differences in fecal metabolites. We investigated bacterium with the greatest relative abundance difference between healthy individuals and sarcopenia patients, and the differences in metabolites associated with the bacteria, to verify its effects on muscle mass and function in a mouse model.

resultsThe study included 283 participants (68.90% females, mean age: 66.66 years old) with and without sarcopenia (141 and 142 participants, respectively) and from the Han (98 participants), Zang (88 participants) and Qiang (97 participants) ethnic groups. This showed an overall reduction (15.03% vs. 20.77%, P = 0.01) of Prevotella copri between the sarcopenia and non-sarcopenia subjects across the three ethnic groups. Functional characterization of the differential bacteria showed enrichment (odds ratio = 15.97, P = 0.0068) in branched chain amino acid (BCAA) metabolism in non-sarcopenia group. A total of 13 BCAA and their derivatives have relatively low levels in sarcopenia. In the in vivo experiment, we found that the blood BCAA level was higher in the mice gavaged with live P. copri (LPC) (P < 0.001). The LPC mice had significantly longer wire and grid hanging time (P < 0.02), longer time on rotor (P = 0.0001) and larger grip strength (P < 0.0001), indicating better muscle function. The weight of gastrocnemius mass and rectus femoris mass (P < 0.05) was higher in LPC mice. The micro-computed tomography showed a larger leg area (P = 0.0031), and a small animal analyser showed a higher lean mass ratio in LPC mice (P = 0.0157), indicating higher muscle mass.

conclusionsThe results indicated that there were lower levels of both P. copri and BCAA in sarcopenia individuals. In vivo experiments, gavage with LPC could attenuate muscle mass and function decline, indicating alleviating sarcopenia. This suggested that P. copri may play a therapeutic potential role in the management of sarcopenia.

Indexed as

Gastrointestinal MicrobiomePrevotellaSarcopeniaAgedAnimalsChinaFecesFemaleHumansMaleMiceMiddle AgedMuscle, SkeletalBrand chain amino acidGut microbiomePrevotella copriSarcopeniaSerum metabolome

Identifiers

PMID37591518
PMCPMC10570070
OpenAlexW4385968843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.