Evidence map›Paper›PMID 38934542›Full record

ArticlemSystems2024

Bile acid-gut microbiota imbalance in cholestasis and its long-term effect in mice.

Xin Yang, Yuesong Xu, Jie Li, Ximing Ran, Zhihao Gu, Linfeng Song, Lei Zhang, Li Wen, Guang Ji, Ruirui Wang

Abstract read
In one paragraph

Article in mSystems, 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. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Nutrients · 2025
    Article
  11. 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

10 authors.

Xin YangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0001-7799-7425
Yuesong XuShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie LiShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ximing RanDepartment of Biostatistics and Bioinformatics, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Zhihao GuSchool of Materials Science and Engineering, East China University of Science and Technology, Shanghai, China.
Linfeng SongGeneral Medicine, Medical school, Kunming University of Science and Technology, Kunming, China.
Lei ZhangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Li WenSection of Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-7799-7425
Guang JiInstitute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-0842-3676
Ruirui WangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-2766-9420

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Richard A Flavell · 1993 to 2026
$44.0M
Antibody and gut bacteria in obesity and T2DR01DK126809 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2021 to 2024
$1.8M
Identifying immunoregulatory gut bacteria in type 1 diabetes and autoimmunityR01DK130318 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2022 to 2025
$1.6M
Investigating the early development of the immune system and islet autoimmunity later in lifeR01HD097808 · NICHD · YALE UNIVERSITY · PI WEN, LI · 2019 to 2021
$1.3M
HHS | National Institutes of Health (NIH) HD 097808, DK 126809, DK 130318MOST | National Natural Science Foundation of China (NSFC) No. 82004149NICHD NIH HHS R01 HD097808NIDDK NIH HHS P30 DK045735NIDDK NIH HHS R01 DK126809NIDDK NIH HHS R01 DK130318The International postdoctoral Exchange Fellowship 2021044
6 · The paper itself

Abstract

Cholestasis is a common morbid state that may occur in different phases; however, a comprehensive evaluation of the long-term effect post-recovery is still lacking. In the hepatic cholestasis mouse model, which was induced by a temporary complete blockage of the bile duct, the stasis of bile acids and liver damage typically recovered within a short period. However, we found that the temporary hepatic cholestasis had a long-term effect on gut microbiota dysbiosis, including overgrowth of small intestinal bacteria, decreased diversity of the gut microbiota, and an overall imbalance in its composition accompanied by an elevated inflammation level. Additionally, we observed an increase in IMPORTANCE: Our pre-clinical study using a mouse model of cholestasis underscores that cholestasis not only disrupts the equilibrium and structural configuration of the gut microbiota but also emphasizes the persistence of these adverse effects even after bile stasis restoration. This suggests the need of monitoring and initiating interventions for gut microbiota structural restoration in patients with cholestasis during and after recovery. We believe that our study contributes to novel and better understanding of the intricate interplay among bile acid homeostasis, gut microbiota, and cholestasis-associated complications. Our pre-clinical findings may provide implications for the clinical management of patients with cholestasis.

Indexed as

Bile Acids and SaltsCholestasisDysbiosisGastrointestinal MicrobiomeMice, Inbred C57BLAnimalsDisease Models, AnimalLiverMaleMiceBile Acids and Saltschemically induced cholestasisEscherichia-Shigellagut pathobiontsintestinal bacterial translocationsmall intestinal bacterial overgrowth

Identifiers

PMID38934542
PMCPMC11265269

What OpenQuestion 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 OpenQuestion graph.