Evidence mapPaperPMID 42515190Full record

ReviewToxics2026

Oxidative Stress in Biotoxin-Induced Liver Injury: From ROS Generation to Cell Death and Therapeutic Intervention.

Ming-Ye Hu, Xiang-Yu Hou, Xiao Huang, Xue-Lu Yu, Fang Liu, Ji-Shun Yang

Abstract readReview
In one paragraph

Review in Toxics, 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

6 authors.

Ming-Ye HuCollege of Pharmacy, Bengbu Medical University, Bengbu 233030, China.
Xiang-Yu HouNaval Medical Center of PLA, Naval Medical University, Shanghai 200433, China.
Xiao HuangNaval Medical Center of PLA, Naval Medical University, Shanghai 200433, China.
Xue-Lu YuNaval Medical Center of PLA, Naval Medical University, Shanghai 200433, China.
Fang LiuNaval Medical Center of PLA, Naval Medical University, Shanghai 200433, China.
Ji-Shun YangNaval Medical Center of PLA, Naval Medical University, Shanghai 200433, China.

Funding

Shanghai Natural Science Foundation Project 25ZR1401400Talent Project of Naval Medical Center of PLA 21TPQN1401
6 · The paper itself

Abstract

Exposure to diverse naturally occurring biotoxins-originating from fungal, plant, and algal sources-poses a severe and escalating threat to global public health. The liver, due to its pivotal role in toxin metabolism, faces an increased risk of injury from toxin accumulation. Although extensive research has been conducted on toxin-induced hepatic injury, the heterogeneity of oxidative stress mechanisms across different injury phenotypes (such as necrosis, steatosis, and fibrosis) remains poorly understood. This review systematically addresses this gap by establishing oxidative stress as the central, convergent mechanism underlying biotoxin-induced liver injury. By critically comparing representative toxins, we examine the role of oxidative stress in various biotoxin-induced hepatic injury phenotypes and their underlying molecular mechanisms. Furthermore, we discuss the specific involvement of interconnected signaling cascades-specifically the Nrf2, NF-κB and MAPK pathways-in orchestrating different modes of cell death (including apoptosis, ferroptosis, and necroptosis), and summarize antagonistic strategies for biotoxin-induced hepatic injury from an oxidative stress perspective, highlighting their translational potential and providing a robust rationale for developing broad-spectrum, redox-targeted therapies.

Indexed as

biotoxinshepatic injurymechanismsoxidative stress

Identifiers

PMID42515190
PMCPMC13431408

What Socratic 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 Socratic graph.