Evidence map›Paper›PMID 35549618›Full record

ArticleGut microbes

Integrative multiomics analysis reveals host-microbe-metabolite interplays associated with the aging process in Singaporeans.

Liwei Chen, Tingting Zheng, Yifan Yang, Prem Prashant Chaudhary, Jean Pui Yi Teh, Bobby K Cheon, Daniela Moses, Stephan C Schuster, Joergen Schlundt, Jun Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  9. TRPA1 InfluencesInternational journal of molecular sciences · 2024
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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

11 authors at 4 institutions in 5 countries.

Liwei ChenSchool of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore.
Tingting ZhengDepartment of Infectious Diseases and Public Health, The Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China.
Yifan YangOffice of Education Research, and Physical Education and Sports Science, National Institute of Education, Nanyang Technological University, Singapore.
Prem Prashant ChaudharySchool of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore.
Jean Pui Yi TehSchool of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore.
Bobby K CheonSchool of Social Sciences, Nanyang Technological University, Singapore.
Daniela MosesSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.
Stephan C SchusterSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.
Joergen SchlundtSchool of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore.
Jun LiDepartment of Infectious Diseases and Public Health, The Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China.ORCID 0000-0001-7218-429X
Patricia L ConwaySchool of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore.ORCID 0000-0003-1763-0773
Nanyang Technological University · SGCity University of Hong Kong · HKAgency for Science, Technology and Research · SGNational Institutes of Health · US

Funding

Psychosocial influences on appetite and eating behaviorZIAHD009004 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI CHEON, BOBBY · 2022 to 2025
$8.1M
6 · The paper itself

Abstract

The age-associated alterations in microbiomes vary across populations due to the influence of genetics and lifestyles. To the best of our knowledge, the microbial changes associated with aging have not yet been investigated in Singapore adults. We conducted shotgun metagenomic sequencing of fecal and saliva samples, as well as fecal metabolomics to characterize the gut and oral microbial communities of 62 healthy adult male Singaporeans, including 32 young subjects (age, 23.1 ± 1.4 years) and 30 elderly subjects (age, 69.0 ± 3.5 years). We identified 8 gut and 13 oral species that were differentially abundant in elderly compared to young subjects. By combining the gut and oral microbiomes, 25 age-associated oral-gut species connections were identified. Moreover, oral bacteria

Indexed as

Gastrointestinal MicrobiomeAdultAgedAgingFecesHumansMaleMetabolomeMetagenomicsSingaporeYoung Adultagingfecal metabolomeintegrative analysisMicrobiomemulti-omics

Identifiers

PMID35549618
PMCPMC9116421
OpenAlexW4280508702

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.