Evidence map›Paper›PMID 40801260›Full record

ArticleThe ISME journal2025

Silibinin-derived microbiota enrich (R)-2,3-dihydroxy-isovalerate and ameliorate colitis via the GAT-3/RARβ/RORγt axis.

Baofei Yan, Xian Zheng, Danya Lu, Ting Li, Xi Chen, Zhitao Shao, Tingming Fu

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Baofei YanState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.ORCID 0000-0002-6754-7655
Xian ZhengDepartment of Pharmacy, Affiliated Kunshan Hospital of Jiangsu University, Kunshan 215399, P. R. China.
Danya LuState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.
Ting LiState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.
Xi ChenJiangsu Engineering Research Center for Precision Prevention and Treatment of Digestive and Reproductive System Tumors, Huaian 223003, P. R. China.
Zhitao ShaoState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.
Tingming FuState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.

Funding

Kunshan Key Research and Development Plan KS2203National Natural Science Foundation of China 82304807Natural Science Foundation of Jiangsu Province BK20220299Primary Research and Development Plan of Jiangsu Province, China BE2019721Primary Research and Development Plan of Jiangsu Province, China BK20241912Scientific Research Project of Jiangsu Health Commission M2024064State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture NZYSKL240205
6 · The paper itself

Abstract

Microbiota-associated factors are increasingly recognized as significant contributors to the progression of ulcerative colitis, and microbial modulation has emerged as an effective therapy for this condition. The herbal compound silibinin has demonstrated properties that modulate gut microbiota. Herein, we investigated the response of gut microbiota to silibinin in ameliorating colitis, using a mouse model of colitis coupled with antibiotic exposure. Results indicated that antibiotic pretreatment negated the benefits of silibinin in mice with colitis. Furthermore, fecal microbiota transplantation involving silibinin-modulated gut microbiota further substantiated the gut microbiota-dependent effects of silibinin. Within the metabolic profiles of silibinin-regulated microbiota, we identified that Alistipes-associated (R)-2,3-dihydroxy-isovalerate exhibited the most pronounced anti-inflammatory effects in vitro and demonstrated protective effects against colitis. Moreover, (R)-2,3-dihydroxy-isovalerate reinstated the protective effects of silibinin in mice with colitis under antibiotic exposure. These effects were primarily mediated via the targeting of the colonic GABA transporter 3 (GAT-3) by (R)-2,3-dihydroxy-isovalerate. We further revealed that the retinoic acid receptor β and the retinoid-related orphan nuclear receptor γt may mediate the impact of silibinin-derived microbiota and (R)-2,3-dihydroxy-isovalerate on colitis. Additionally, the knockdown of colonic GAT-3 diminished the impact of silibinin on the GAT-3/retinoic acid receptor β/retinoid-related orphan nuclear receptor γt axis and colitis. Our findings highlight that (R)-2,3-dihydroxy-isovalerate, enriched from microbiota derived from silibinin, can target the GAT-3/retinoic acid receptor β/retinoid-related orphan nuclear receptor γt axis, which is essential for anti-colitis properties of silibinin-regulated microbiota.

Indexed as

ColitisGastrointestinal MicrobiomeNuclear Receptor Subfamily 1, Group F, Member 3SilybinAnimalsAnti-Bacterial AgentsDisease Models, AnimalFecal Microbiota TransplantationMaleMiceMice, Inbred C57BLAnti-Bacterial AgentsNuclear Receptor Subfamily 1, Group F, Member 3Rorc protein, mouseSilybinGAT-3/RARβ/RORγt axisgut microbiota(R)-2,3-dihydroxy-isovaleratesilibininulcerative colitis

Identifiers

PMID40801260
PMCPMC12448484

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Registered trials

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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.