Evidence map›Paper›PMID 40692546›Full record

ArticleJournal of inflammation research2025

Susceptibility Factor TNF-α Synergizes with

Dilireba Aimaier, WanQuan Bai, Yun Zhang, Xiang Li, Chen Ma, Jian Gu, Le Zhang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Dilireba AimaierCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
WanQuan BaiCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
Yun ZhangCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
Xiang LiCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
Chen MaCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
Jian GuCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.
Le ZhangCollege of Pharmacy and Food, Southwest Minzu University, Chengdu, Sichuan, 610225, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: This study sought to elucidate the role of TNF-α in PM-IDILI using a TNF-α-sensitized C57BL/6J mouse model, integrating analyses of the gut microbiota and metabolomics We employed biochemical analysis, inflammatory markers, inflammatory liver histopathological, sequencing of 16S rRNA gene, as well as untargeted metabolomics based on LC-MS to systematically evaluate the extent of liver injury and characterize alterations in gut microbiota and liver metabolites following PM administration in TNF-α pre-treated mice. Results: The results demonstrated that PM treatment in TNF-α-sensitized mice significantly elevated levels of indicators as AST (3.6-fold compared to the control group, Conclusion: These findings suggest that TNF-α sensitization predisposes mice to PM-IDILI, potentially by disrupting gut microbial homeostasis and altering host hepatic metabolism. This research provides critical theoretical and experimental evidence relevant to the safe and effective clinical application of PM.

Indexed as

gut microbiotaidiosyncratic drug-induced liver injurymetabolomicsPolygonum multiflorumsusceptibilityTNF-α

Identifiers

PMID40692546
PMCPMC12278978

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.