Evidence map›Paper›PMID 41170850›Full record

ArticlemSystems2025

Transkingdom network analysis reveals the dominant role of ileal microbiota in host metabolism over colonic microbiota in diet-induced obesity.

Peng Chen, Xiajialong Li, Shenji Yang, Huiying Liu, Zhipeng Li

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

The trial behind it

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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

5 authors.

Peng ChenThe Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Xiajialong LiState Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Nanchang University, Nanchang, China.
Shenji YangState Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Nanchang University, Nanchang, China.
Huiying LiuThe Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Zhipeng LiState Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Nanchang University, Nanchang, China.ORCID 0000-0002-4077-0486

Funding

Jiangxi Provincial Natural Science Foundation 20242BAB20323Jiangxi Provincial Natural Science Foundation 20252BAC200481National Natural Science Foundation of China 32402112National Natural Science Foundation of China 82504061
6 · The paper itself

Abstract

Distinct gut habitats shape the spatial organization of resident microbes, with most studies focusing on the colon/feces and ileum as key sites for host-microbiota interactions. However, the relationship between microbial biogeography and host metabolism remains poorly understood. Here, we investigated the differential responses of ileal and colonic microbiota to a high-fat diet using two-way analysis of variance. Furthermore, we explored their respective contributions to diet-induced metabolic disorders through transkingdom network analysis (TkNA), a well-established causal-inference approach. A total of 39 taxa, including IMPORTANCE: Evidence shows that gut microbiota plays a crucial role in host metabolism, but its composition varies across intestinal segments. While the ileum is essential for nutrient absorption, the colon hosts a denser, more diverse microbiota involved in fiber fermentation. It remains unclear which segment has a greater impact on host metabolism. In this study, we used an advanced network analysis to integrate multi-omics data and perform causal inference. Compared to colonic microbiota, ileal microbiota showed stronger associations with liver gene expression, liver metabolites, serum metabolites, and host metabolic phenotypes. These findings suggest that the ileal microbiota has a more significant influence on host metabolism, highlighting its importance in future microbiota research.

Indexed as

ColonGastrointestinal MicrobiomeIleumObesityAnimalsDiet, High-FatHost Microbial InteractionsLiverMaleMiceMice, Inbred C57BLTranscriptomecolonileummetabolic disordermicrobiotatranskingdom network analysis

Identifiers

PMID41170850
PMCPMC12625735

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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 OpenQuestion graph.