Evidence map›Paper›PMID 41415809›Full record

ArticleFrontiers in microbiology2025

Characterization of the gut microbiota in people with different levels of obesity.

Ergan Li, Senlin Wang, Youqin Li, Anke Liuli, Meifang Liang, Jian Huang, Yan Li, Haifang Li, Zhonghui Feng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Reframing obesity through the gut microbiota: functional dysbiosis and metabolic disease.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  3. Article
  4. 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

9 authors.

Ergan Li *The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Senlin Wang *College of Medicine, Southwest Jiaotong University, Chengdu, China.
Youqin LiCollege of Medicine, Southwest Jiaotong University, Chengdu, China.
Anke LiuliCollege of Life Science and Engineering, Southwest Jiaotong University, Chengdu, China.
Meifang LiangCollege of Life Science and Engineering, Southwest Jiaotong University, Chengdu, China.
Jian HuangKey Laboratory of Animal Medicine, Southwest Minzu University, Chengdu, Sichuan, China.
Yan LiKey Laboratory of Animal Medicine, Southwest Minzu University, Chengdu, Sichuan, China.
Haifang LiCollege of Life Science, Shandong Agricultural University, Tai'an, China.
Zhonghui Feng *The Center of Obesity and Metabolic Diseases, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: With the evolution of dietary habits, obesity has emerged as a significant global health issue. Numerous studies have demonstrated a close association between obesity and gut microbiota; however, the specific contribution of gut microbiota to varying degrees of obesity remains inadequately understood. Consequently, this study aims to characterize the gut microbiota of individuals across different obesity severity levels. Methods: We conducted a comprehensive characterization of the gut microbiome in Chinese obese patients and a healthy control group through the application of 16S rRNA gene sequencing, supplemented by metagenomic sequencing. The study cohort was stratified into five distinct categories based on body mass index (BMI): healthy, overweight, and obesity grades I, II, and III. Results: In obese populations, the gut microbiome structure shifted significantly, with beneficial genera like Conclusion: Populations with different obesity traits show unique changes in gut flora. The level of dysbiosis, or imbalance in intestinal microbiota, rises with obesity. These microbial changes are linked to host metabolism, indicating that targeting harmful bacteria and supplementing with beneficial ones from normal-weight populations could effectively reduce obesity.

Indexed as

16S rRNA sequencingbody mass indexdegree of obesityfecal microbiotametagenomics

Identifiers

PMID41415809
PMCPMC12709931

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.