Evidence map›Paper›PMID 40597096›Full record

ArticleBMC biology2025

Deciphering gut microbiome patterns from host preferences and microbial interactions in healthy Korean individuals.

Seungpyo Hong, Mi Young Lim, Won-Hyong Chung, Ji-Hee Shin, Young-Do Nam

Abstract read
In one paragraph

Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Seungpyo Hong *Department of Molecular Biology, Jeonbuk National University, Jeonju-Si, Jeollabuk-Do, 54896, Republic of Korea. seungpyo.hong@jbnu.ac.kr.
Mi Young Lim *Precision Nutrition Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju-Gun, Jeollabuk-Do, 55365, Republic of Korea.
Won-Hyong ChungPrecision Nutrition Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju-Gun, Jeollabuk-Do, 55365, Republic of Korea.
Ji-Hee ShinPrecision Nutrition Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju-Gun, Jeollabuk-Do, 55365, Republic of Korea.
Young-Do NamPrecision Nutrition Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju-Gun, Jeollabuk-Do, 55365, Republic of Korea. youngdo98@kfri.re.kr.

Funding

Korea Food Research Institute E0170600-08
6 · The paper itself

Abstract

backgroundThe gut microbiome is crucial for human health maintenance and disease development, yet limited understanding of its structure and maintenance hinders effective microbiome-based health improvement strategies. We investigated gut microbiome compositional patterns in healthy Koreans (n = 890), identifying six clusters (I-VI) with unique compositions and host preferences.

resultsEach cluster had a distinct topological structure within the microbial interaction network, underscoring its diverse roles in maintaining microbial communities. Cluster II, predominated by Bacteroides and Faecalibacterium, was consistently found across individuals and centrally located within the microbial interaction network. Cluster III, mainly composed of Oscillospira and Coprococcus, and IV, dominated by Enterobacteriaceae and Bacteroides fragilis, demonstrated mutually exclusive relationships, reflecting affinities for host clusters with varied dietary patterns and microbial diversity. Clusters V and VI linked different microbial clusters, and cluster I had separate subcommunities.

conclusionsThis study reveals intricate structures and interactions within microbial communities, offering insights into the gut microbiome ecology and guiding health enhancement strategies.

Indexed as

Gastrointestinal MicrobiomeMicrobial InteractionsAdultBacteriaFemaleHumansMaleMiddle AgedRepublic of KoreaYoung AdultGut microbiomeHuman gutMicrobial community structureMicrobial ecosystemMicrobial interaction

Identifiers

PMID40597096
PMCPMC12220063

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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.