Evidence map›Paper›PMID 39204119›Full record

ArticlePharmaceuticals (Basel, Switzerland)2024

Xue-Xue Zhu, Chen-Yang Zhao, Xin-Yu Meng, Xiao-Yi Yu, Lin-Chun Ma, Tian-Xiao Chen, Chang Chang, Xin-Yu Chen, Yuan Zhang, Bao Hou and 5 more

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. The Safety ofViruses · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

Xue-Xue ZhuDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Chen-Yang ZhaoDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Xin-Yu MengDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Xiao-Yi YuDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Lin-Chun MaDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Tian-Xiao ChenDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Chang ChangDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Xin-Yu ChenDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Yuan ZhangDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Bao HouDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Wei-Wei CaiDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Bin DuDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Zhi-Jun HanDepartment of Clinical Research Center, Jiangnan University Medical Center, Wuxi 214001, China.
Li-Ying QiuDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Hai-Jian SunDepartment of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.

Funding

the National Natural Science Foundation of China 82300414
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a metabolic syndrome characterized by chronic inflammation, insulin resistance, and islet cell damage. The prevention of T2DM and its associated complications is an urgent public health issue that affects hundreds of millions of people globally. Numerous studies suggest that disturbances in gut metabolites are important driving forces for the pathogenesis of diabetes. However, the functions and mechanisms of action of most commensal bacteria in T2DM remain largely unknown.

methodsThe quantification of bile acids (BAs) in fecal samples was performed using ultra-performance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). The anti-diabetic effects of

resultsWe found that the abundance of

conclusionsThese data suggest that supplementation of

Indexed as

AMPKBacteroides uniformisbile aciddiabetesgut microbiomeTGR5

Identifiers

PMID39204119
PMCPMC11357665

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.