Evidence map›Paper›PMID 40453667›Full record

ArticleFrontiers in pharmacology2025

Cold- and hot-classified botanical drugs differentially modulate gut microbiota: linking TCM emic classification to microbial ecology.

Huan Yang, Chenyi Shao, Zhihao Liu, Xiaoyu Zhang, Yinhui Liu, Jing Xiao, Li Tang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Huan YangDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Chenyi ShaoDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Zhihao LiuDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Xiaoyu ZhangDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Yinhui LiuDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Jing XiaoDepartment of Oral Pathology, College of Stomatology, Dalian Medical University, Dalian, China.
Li TangDepartment of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional Chinese Medicine (TCM) classifies botanical drugs based on their thermal properties (an emic classification system), categorizing them as "cold" (e.g., "clearing heat" for anti-inflammatory effects) or "hot" (e.g., "warming the middle" for metabolic enhancement). However, the specific roles of these botanical drugs in restoring gut microbiota dysbiosis remain unclear. This study aimed to explore whether TCM-classified cold and hot botanical drugs differentially restore gut microbiota dysbiosis and host physiology in antibiotic-treated mice. Methods: Mice with antibiotic-induced dysbiosis were treated with eight TCM-classified botanical drugs (four cold: Results: By day 20, all botanical drugs restored the diversity and ranking of dominant genera (those with >10% abundance, such as Discussion: TCM-classified cold and hot botanical drugs universally stabilize dominant microbiota while differentially modulating low-abundance taxa. The enrichment of

Indexed as

AkkermansiaClostridiaemic classificationgut microbiota dysbiosisTCM propertytraditional Chinese medicine

Identifiers

PMID40453667
PMCPMC12122528

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.