Evidence map›Paper›PMID 39182062›Full record

ArticleBMC microbiology2024

Alterations in the gut microbiota community are associated with childhood obesity and precocious puberty.

Li Wang, Qin Yi, Hao Xu, Huiwen Liu, Bin Tan, Hongrong Deng, Yunxia Chen, Rui Wang, Fang Tang, Xinran Cheng and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Oral Administration of anFoods (Basel, Switzerland) · 2025
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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.

Li Wang *Department of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Qin Yi *Department of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Hao XuDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huiwen LiuDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Bin TanDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Hongrong DengDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Yunxia ChenDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Rui WangDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China.
Fang TangDepartment of Endocrine Genetics and Metabolism, School of Medicine, Chengdu Women's and Children's Center Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xinran ChengDepartment of Endocrine Genetics and Metabolism, School of Medicine, Chengdu Women's and Children's Center Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China. Chinacxr1216@sina.com.
Jing ZhuDepartment of Pediatric Research Institute, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics Metabolism and Inflammatory Disease, Children's Hospital of Chongqing Medical University, Chongqing, China. jingzhu@cqmu.edu.cn.

Funding

Chengdu Medical Research Project 2022064Scientific and technological Innovation of Maternal and Child Medicine in Sichuan Province 22FXZD06
6 · The paper itself

Abstract

objectiveTo explore the distribution and differences in the intestinal microbiota in girls with obesity-related precocious puberty and the relationship between intestinal microbiota and obesity-related precocious puberty.

methods16 S rRNA gene amplicons from fecal samples from girls with precocious puberty and obesity-complicated precocious puberty and healthy children were sequenced to define microbial taxa.

resultsThe α- and β-diversity indices of the microbiome significantly differed among the three groups. At the phylum level, the proportions of Firmicutes, Actinobacteriota, Bacteroidota, Bacteria, Campylobacterota, and Acidobacteriota were different. At the genus level, there were differences in Bifidobacterium, Bacteroides, Anaerostipes, Fusicatenibacter, Klebsiella, Lachnospiraceae, ErysipelotrichaceaeUCG-003, Prevotella9, Ruminococcus gnavus group, and Lachnoclostridium. Additionally, Bifidobacterium, Anaerostipes, Bacteroides, Candidatus Microthrix, Eubacterium hallii group, Klebsiella, and Erysipelotrichaceae UCG-003 were identified as bacterial biomarkers by LEfSe. Furthermore, Sellimonas, Intestinibacter, Anaerostipes, Ruminococcus gnavus group, and Oscillibacter were identified as the differential biomarkers by random forest. A receiver operating characteristic (ROC) curve was used to evaluate the biomarkers with high predictive value for obesity-related precocious puberty. Spearman correlation analysis confirmed that Anaerostipes levels were negatively correlated with body weight, body mass index (BMI), bone age, luteinizing hormone, follicle-stimulating hormone, and estradiol.

conclusionsThere was a significant correlation between obesity-associated precocious puberty and gut microbiota, especially the functional characteristics of the microbiome and its interactions, which can provide a theoretical basis for the clinical intervention of obesity and precocious puberty through the microbiome.

Indexed as

BacteriaFecesGastrointestinal MicrobiomePediatric ObesityPuberty, PrecociousRNA, Ribosomal, 16SChildChild, PreschoolDNA, BacterialFemaleHumansDNA, BacterialRNA, Ribosomal, 16SGut microbiotaHormoneObesityPrecocious puberty

Identifiers

PMID39182062
PMCPMC11344344

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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 OpenQuestion graph.