Evidence mapPaperPMID 39054372Full record

ArticleNature aging2024

Gut microbial features and circulating metabolomic signatures of frailty in older adults.

Yanni Pu, Zhonghan Sun, Hui Zhang, Qingxia Huang, Zhengdong Wang, Zhendong Mei, Peilu Wang, Mengmeng Kong, Wenjun Yang, Chenhao Lin and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Trial
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  10. The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026
    Review
  11. Impact of probiotic, prebiotic, and synbiotic supplementation on the gut microbiome in older adults with sarcopenia, obesity, and sarcopenic obesity.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  12. Article
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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

20 authors.

Yanni Pu *State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-9603-4584
Zhonghan Sun *State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Hui Zhang *State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-7358-5375
Qingxia Huang *State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhengdong WangDepartment of Gastroenterology, Rugao People's Hospital, Rugao, China.
Zhendong MeiState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Peilu WangMinistry of Education Key Laboratory of Public Health Safety, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Mengmeng KongState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenjun YangState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Chenhao LinState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5102-801X
Xiaofeng ZhouState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Shuchun LinState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiumin HuangState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Lili HuangState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Liang SunMinistry of Education Key Laboratory of Public Health Safety, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Changzheng YuanSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-2389-8752
Qian XuInstitute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-7623-217X
Huiru TangState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China. huiru_tang@fudan.edu.cn.ORCID http://orcid.org/0000-0002-7139-2756
Xiaofeng WangState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China. xiaofengwang71@163.com.ORCID http://orcid.org/0000-0001-7333-8676
Yan ZhengState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China. yan_zheng@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1129-3147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty, a multidimensional indicator of suboptimal aging, reflects cumulative declines across multiple physiological systems. Although age-related changes have been reported in gut microbiota, their role in healthy aging remains unclear. In this study, we calculated frailty index (FI) from 33 health-related items to reflect the overall health status of 1,821 older adults (62-96 years, 55% female) and conducted multi-omics analysis using gut metagenomic sequencing data and plasma metabolomic data. We identified 18 microbial species and 17 metabolites shifted along with frailty severity, with stronger links observed in females. The associations of nine species, including various Clostridium species and Faecalibacterium prausnitzii, with FI were reproducible in two external populations. Plasma glycerol levels, white blood cell count and kidney function partially mediated these associations. A composite microbial score derived from FI significantly predicted 2-year mortality (adjusted hazard ratio across extreme quartiles, 2.86; 95% confidence interval, 1.38-5.93), highlighting the potential of microbiota-based strategies for risk stratification in older adults.

Indexed as

FrailtyGastrointestinal MicrobiomeMetabolomicsAgedAged, 80 and overAgingClostridiumFemaleFrail ElderlyHumansMaleMetabolomeMiddle Aged

Identifiers

What Socratic holds

Textmetadata
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.