Evidence map›Paper›PMID 37049450›Full record

ArticleNutrients2023

Longevity-Associated Core Gut Microbiota Mining and Effect of Mediated Probiotic Combinations on Aging Mice: Case Study of a Long-Lived Population in Guangxi, China.

Rui-Ding Li, Wen-Xuan Zheng, Qin-Ren Zhang, Yao Song, Yan-Ting Liao, Feng-Cui Shi, Xiao-Hui Wei, Fan Zhou, Xiao-Hua Zheng, Kai-Yan Tan and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Gut microbiota and healthy longevity.Science China. Life sciences · 2024
    Review
  7. Article
  8. Winds of change a tale of: asthma and microbiome.Frontiers in microbiology · 2023
    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

11 authors.

Rui-Ding LiCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Wen-Xuan ZhengCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Qin-Ren ZhangCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.ORCID 0000-0002-5712-1116
Yao SongCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Yan-Ting LiaoCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Feng-Cui ShiCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Xiao-Hui WeiCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Fan ZhouCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Xiao-Hua ZhengCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Kai-Yan TanGuangxi Zhuang Autonomous Region Institute of Product Quality Inspection, Nanning 530200, China.
Quan-Yang LiCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.

Funding

Guangxi Key Research and Development Program AB18221065National Natural Science Foundation of China 31871802
6 · The paper itself

Abstract

With an ageing population, healthy longevity is becoming an important scientific concern. The longevity phenomenon is closely related to the intestinal microflora and is highly complicated; it is challenging to identify and define the core gut microbiota associated with longevity. Therefore, in this study, 16S rRNA sequencing data were obtained from a total of 135 faecal samples collected as part of the latest sampling and pre-collection initiative in the Guangxi longevity area, and weighted gene co-expression network analysis (WGCNA) was used to find a mediumpurple3 network module significantly associated with the Guangxi longevity phenomenon. Five core genera, namely,

Indexed as

Gastrointestinal MicrobiomeProbioticsAgingAnimalsChinaHumansMiceRNA, Ribosomal, 16SRNA, Ribosomal, 16Santioxidantcore gut microbiotalong-lived seniorsnetwork analysis

Identifiers

PMID37049450
PMCPMC10097023

What OpenQuestion holds

Textmetadata
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.