Evidence map›Paper›PMID 39469300›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Alterations in the Gut Microbiota Composition in Obesity with and without Type 2 Diabetes: A Pilot Study.

Xiaojing Wang, Qinli Guo, Zhaoxiang Liu, Yanlei Wang, Chenxiang Cao, Lixia Jin, Caihong Li, Jianzhong Xiao, Wenhui Zhao

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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  5. Reframing obesity through the gut microbiota: functional dysbiosis and metabolic disease.Current opinion in clinical nutrition and metabolic care · 2026
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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

9 authors.

Xiaojing WangDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.ORCID 0000-0002-1819-3782
Qinli GuoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.
Zhaoxiang LiuDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.ORCID 0000-0001-7016-5917
Yanlei WangDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.
Chenxiang CaoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.
Lixia JinDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.
Caihong LiDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.
Jianzhong XiaoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.ORCID 0000-0001-8449-6346
Wenhui ZhaoDepartment of Endocrinology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China.ORCID 0000-0001-7493-8921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Obesity has become a major public health concern worldwide, increasing the risk of T2DM. Growing evidence indicates gut microbiota dysbiosis is related to metabolic disorders. We aimed to firstly investigate the compositional and functional features of the gut microbiome between obesity with and without T2DM in the Chinese population. Methods: A total of 32 obese individuals accompanied with T2DM and 18 age and gender-matched obesity with normal glucose tolerance (NGT) were enrolled. Fecal samples were collected, and the gut microbiota profile was determined using the Illumina MiSeq platform based on V3-V4 bacterial 16S rRNA gene. Results: Compared with obesity- NGT, obesity-T2DM showed a significantly higher alpha diversity. Principal coordinates analysis based on both Bray-Curtis distance and weighted Unifrac revealed that the global microbial composition was significantly different between the two groups (P = 0.007 and P = 0.005, respectively). At the phylum level, Obesity-T2DM patients exhibited a significant decrease in Conclusion: We found clear differences in the gut microbiota composition in obesity-T2DM compared with obesity-NGT. Obesity accompanied with T2DM may aggravate the obesity-associated gut microbiota, and gut microbiota is expected to be a promising novel intervention target for obese management. However, larger sample size and more in-depth taxonomic identification studies are warranted.

Indexed as

gut microbiotaobesitytype 2 diabetes

Identifiers

PMID39469300
PMCPMC11514687

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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.