Evidence mapPaperPMID 41952172Full record

ArticleMicrobiome2026

Cross-body site microbial interactions influence the human plasma metabolome.

Jingxiang Zhang, Chao Jiang, Xin Zhou, Peng Gao, Sunny Wong, Michael Snyder, Xiaotao Shen

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jingxiang ZhangLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Chao JiangLife Sciences Institute, Zhejiang University, Hangzhou, Zhejiang, China.
Xin ZhouIntelligent Medicine Institute, Fudan Microbiome Center, Fudan University Shanghai Medical College, Fudan University, Shanghai, China.
Peng GaoDepartment of Environmental Health and Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sunny WongLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Michael SnyderDepartment of Genetics, Stanford School of Medicine, Palo Alto, CA, USA.
Xiaotao ShenLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. xiaotao.shen@ntu.edu.sg.

Funding

Ministry of Education - Singapore #025402-00001
6 · The paper itself

Abstract

backgroundThe human microbiome profoundly influences the host plasma metabolome and health, but most studies have focused on the gut microbiome in isolation. A comprehensive assessment of how microbiomes from multiple body sites jointly shape host metabolism has been lacking.

resultsUsing data from three independent human cohorts (n = 435), we systematically analyzed the selective and joint influences of microbiomes from multiple body sites on the human plasma metabolome (814 annotated metabolites). Microbiomes from all body sites contributed to plasma metabolome variation, collectively explaining 30.13% of the inter-individual variation. The gut microbiome showed the largest contribution (18.44%), followed by oral (14.70%), skin (11.5%), and nasal (5.88%) microbiomes. Microbial composition did not necessarily predict metabolic function for example, despite distinct compositions, oral and gut microbiomes exhibited similar associations with circulating metabolites. Machine learning and mediation analyses revealed widespread cooperative and synergistic microbial interactions across body sites, particularly along the oral-gut axis. Over half of the metabolites were jointly influenced by multiple body-site microbiomes. This axis showed cross-site microbial crosstalk and sequential metabolic processing, regulating metabolites such as indole derivatives and carboxylic acids. The oral-gut microbiome-metabolome axis was further amplified in insulin resistance (IR), linking enhanced microbial cooperation to metabolic dysregulation.

conclusionOur findings reveal the systemic and interactive nature of microbiome-metabolome relationships and highlight the need to integrate spatially distributed microbial ecosystems to fully understand host metabolic regulation and disease mechanisms. Video Abstract.

Indexed as

MetabolomeMicrobial InteractionsMicrobiotaPlasmaAdultBacteriaFemaleGastrointestinal MicrobiomeHumansMaleMouthMultiomicsNoseSkinSkin Microbiome

Identifiers

PMID41952172
PMCPMC13181886

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.