Evidence map›Paper›PMID 41857612›Full record

ArticleChinese medicine2026

Unraveling the mechanism of tripterygium glycosides tablets-induced liver injury and the protective role of total glucosides of peony from immune-metabolic dysregulation to multi-cellular cascade.

Yi Zhang, Zihe Ding, Xiaoyue Wang, Jiayun Shen, Jiayun Chen, Lin Chen, Weiheng Chen, Na Lin, Yanqiong Zhang

Abstract read
In one paragraph

Article in Chinese medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yi Zhang *State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Zihe Ding *State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Xiaoyue WangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Jiayun ShenState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Jiayun ChenState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Lin ChenState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Weiheng ChenThe Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029, China.
Na LinState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. nlin@icmm.ac.cn.
Yanqiong ZhangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. yqzhang@icmm.ac.cn.

Funding

Beijing Natural Science Foundation 7252247National Natural Science Foundation of China 82330124Scientific and technological innovation project of China Academy of Chinese Medical Sciences CI2023E002
6 · The paper itself

Abstract

Tripterygium glycosides tablets (TGT) are effective against autoimmune diseases but cause significant drug-induced liver injury (DILI) that limits clinical use. While TGT disrupts hepatic iron-lipid homeostasis and co-administration with Total Glucosides of Peony (TGP) mitigates its toxicity, the multi-cellular mechanisms remain unclear. In the current study, using integrative single-cell RNA sequencing and pathological validation in controlled mouse models (TGT vs.Con and TGT + TGP vs. TGT.) we elucidated a pathogenic iron-lipid axis driving hepatotoxicity via cellular cascades. TGT initiated Kupffer cell M1 polarization, releasing pro-inflammatory cytokines (TNF-α and IL-1β) that recruited neutrophils and induced NETosis-mediated oxidative stress. Concurrently, hepatic endothelial cells developed iron overload with increased Hamp and decreased Slc40a1, alongside inflammatory damage, while hepatocytes exhibited fatty acid metabolic dysfunction and lipid peroxidation, collectively propagating adipocyte hyperplasia and perilipin-2-driven lipid accumulation. Critically, TGP rescued toxicity by reversing Kupffer cell M1-to-M2 polarization with decreased iNOS and increased CD206, suppressing NET formation with decreased Ly6G and CitH3, alleviating iron deposition with reduced Prussian blue staining, and normalizing lipid metabolism with decreased oil red O staining and perilipin-2. This study identifies the iron-lipid axis as the central driver of TGT-induced liver injury, which is mediated by a sequential multi-cellular cascade involving Kupffer cells, neutrophils, endothelial cells, hepatocytes, and adipocytes. These findings position TGP as a multi-target detoxification agent that mechanistically disrupts this axis and establishes a cellular hierarchy blueprint for metabolic toxicity intervention, supporting its potential as a rescue strategy for precision medicine and detoxification screening.

Indexed as

Cellular cascadeDetoxificationDrug-induced liver injuryIron–lipid metabolismSingle-cell RNA sequencingTotal glucosides of peonyTripterygium glycosides tablet

Identifiers

PMID41857612
PMCPMC13001237

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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.