Evidence map›Paper›PMID 41685140›Full record

ArticleActa pharmaceutica Sinica. B2026

Gut microbiota drives the metabolic dysregulation in obesity-prone individuals by impairing GDCA-mediated activation of brown adipose thermogenesis and ileal GLP-1 secretion.

Han Ma, Yuqi Wu, Delong Li, Haowen Sun, Yuan Xie, Shichun Zhao, Wenqian Guo, Meng Wang, Renyun Cui, Yanrong Huang and 4 more

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2026. 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. Reframing obesity through the gut microbiota: functional dysbiosis and metabolic disease.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  2. Article
  3. Article
  4. Article
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

14 authors.

Han MaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Yuqi WuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Delong LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Haowen SunSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Yuan XieSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Shichun ZhaoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Wenqian GuoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Meng WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Renyun CuiNational Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Yanrong HuangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Xiankang ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Jin-Yi WanSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Haiqiang YaoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Chun-Su YuanTang Center for Herbal Medicine Research, The University of Chicago, Chicago, IL 60637, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity-prone (OP) individuals exhibit an intrinsic predisposition to obesity and associated metabolic disorders, and early intervention in this population holds significant clinical value; however, the underlying mechanisms driving this susceptibility remain largely obscure. This study enrolled 46 OP subjects without diagnosed metabolic diseases and 35 healthy controls. Our findings revealed that, despite not reaching obesity diagnoses, OP subjects exhibited significant metabolic disturbances strongly associated with gut microbiota dysbiosis. They also displayed disturbed bile acid (BA) profiles, with depleted glycodeoxycholic acid (GDCA) identified as the most potent discriminator between the OP and healthy controls. Fecal microbiota transplantation (FMT) recapitulated metabolic dysfunction and BA pool remodeling, mediated by dysregulated hepatic expression of BA synthesis genes of

Indexed as

Bile acidsBrown adiposeGlucagon-like peptide-1 (GLP-1)Glucolipid metabolismGlycodeoxycholic acid (GDCA)Gut microbiotaObesity-proneTGR5

Identifiers

PMID41685140
PMCPMC12891870

What OpenQuestion holds

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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 OpenQuestion graph.