Evidence map›Paper›PMID 37132117›Full record

ArticleAging cell2023

Identification of fecal microbiome signatures associated with familial longevity and candidate metabolites for healthy aging.

Junli Gong, Sanxin Liu, Shisi Wang, Hengfang Ruan, Qianqian Mou, Ping Fan, Tao Chen, Wei Cai, Yongjun Lu, Zhengqi Lu

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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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

10 authors at 3 institutions in 1 country.

Junli GongDepartment of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-4732-055X
Sanxin LiuDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Shisi WangDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Hengfang RuanDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Qianqian MouRun Ze Laboratory for Gastrointestinal Microbiome Study, School of Life Sciences of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ping FanDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Tao ChenSouth China Institute of Biomedicine, Guangzhou, Guangdong, China.
Wei CaiDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yongjun LuKey Laboratory of Human Microbiome and Elderly Chronic Diseases, Ministry of Education, Guangzhou, Guangdong, China.ORCID 0000-0002-3030-5724
Zhengqi LuDepartment of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-2118-0368
Sun Yat-sen University · CNMinistry of Education of the People's Republic of China · CNGuangzhou Institutes of Biomedicine and Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota associated with longevity plays an important role in the adaptation to damaging stimuli accumulated during the aging process. The mechanism by which the longevity-associated microbiota protects the senescent host remains unclear, while the metabolites of the gut bacteria are of particular interest. Here, an integrated analysis of untargeted metabolomics and 16S rRNA gene sequencing was used to characterize the metabolite and microbiota profiles of long-lived individuals (aged ≥90 years) in comparison to old-elderly (aged 75-89 years), young-elderly (aged 60-74 years), and young to middle-aged (aged ≤59 years) individuals. This novel study constructed both metabolite and microbiota trajectories across aging in populations from Jiaoling county (the seventh longevity town of the world) in China. We found that the long-lived group exhibited remarkably differential metabolomic signatures, highlighting the existence of metabolic heterogeneity with aging. Importantly, we also discovered that long-lived individuals from the familial longevity cohort harbored a microbiome distinguished from that of the general population. Specifically, we identified that the levels of a candidate metabolite, pinane thromboxane A2 (PTA2), which is positively associated with aging, were consistently higher in individuals with familial longevity and their younger descendants than in those of the general population. Furtherly, functional analysis revealed that PTA2 potentiated the efficiency of microglial phagocytosis of β-amyloid 40 and enhanced an anti-inflammatory phenotype, indicating a protective role of PTA2 toward host health. Collectively, our results improve the understanding of the role of the gut microbiome in longevity and may facilitate the development of strategies for healthy aging.

Indexed as

Healthy AgingMicrobiotaAgingHumansLongevityMetabolomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16Sfamilial longevityfecal microbiomehealthy agingpinane thromboxane A2

Identifiers

PMID37132117
PMCPMC10265179
OpenAlexW4367835186

What OpenQuestion holds

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LicenceCC BY
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.