Evidence map›Paper›PMID 42712423›Full record

ArticleFrontiers in cellular and infection microbiology2026

The association of oral microbiota and oral-gut microbial co-presence with obesity in Chinese children.

Qianjin Qi, Chaonan Gao, Yinkun Yan

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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
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1 · What the graph read from it

What it found

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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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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

3 authors.

Qianjin QiCenter for Non-Communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Chaonan GaoCenter for Non-Communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yinkun YanCenter for Non-Communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The oral cavity harbors a complex microbial community that is increasingly recognized for its association with systemic diseases, such as cardiovascular diseases. Furthermore, a significant proportion of oral microbiota is swallowed, potentially influencing the gut microbiota. This potential oral-gut microbial linkage is hypothesized as a pathway through which oral microbes exert systemic effects. This study aims to investigate the association between oral microbiota and childhood obesity, and to explore the co-presence patterns between oral and gut microbiota in relation to childhood obesity. Materials and methods: This study is a case-control study. We recruited participants aged 6-17 years from Beijing Children's Hospital, collecting saliva and fecal samples. Both parts of the study performed 16S rRNA gene sequencing on the samples, comparing microbial diversity between obese (OB) and normal-weight (NW) children. We aggregated relative abundances of major bacterial phyla and genera to identify differentially abundant genera between groups. Linear discriminant analysis effect size (LEfSe) was used to identify genera significantly different between NW and OB children. Additionally, we examined correlations between key oral genera and clinical indicators. Genera detected in both oral cavity and gut samples at > 10% prevalence were defined as "co-present genera". A random forest model was constructed to distinguish NW from OB children. Results: A total of 136 children were enrolled, comprising 68 individuals in the OB group and 68 in the NW group. There were no significant differences observed in age, gender, birth weight, or height. Oral microbiota diversity and composition significantly differed between OB and NW groups. LEfSe analysis identified Conclusions: This study indicated that the oral microbiome is closely associated with childhood obesity. Consequently, the oral microbiome represents a highly attractive target for future obesity prevention strategies.

Indexed as

BacteriaGastrointestinal MicrobiomeMicrobiotaMouthPediatric ObesityAdolescentCase-Control StudiesChildChinaDNA, BacterialEast Asian PeopleFecesFemaleHumansMaleRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16Schildhood obesityChinese childrengut microbiotaoral-gut microbial co-presenceoral microbiota

Identifiers

PMID42712423
PMCPMC13549852

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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.