Evidence map›Paper›PMID 41310297›Full record

ReviewCell biology and toxicology2025

Molecular mechanisms in diquat-induced organs injury:insights into cell signaling and potential therapeutic agents.

Siying Han, Dan Dong, Zhenning Liu

Abstract readReview
In one paragraph

Review in Cell biology and toxicology, 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. 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

3 authors.

Siying HanDepartment of Critical Care Medicine, Heping District, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Shenyang City, China.
Dan DongDepartment of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang, 110122, China. ddong@cmu.edu.cn.
Zhenning Liu *Department of Critical Care Medicine, Heping District, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Shenyang City, China. liuzn999@hotmail.com.

Funding

National Natural Science Foundation of China 82472242
6 · The paper itself

Abstract

Diquat (DQ) is a potent, non-selective herbicide which can result in severe poisoning and a high mortality if ingested accidentally or intentionally. Diquat poisoning can cause extensive damage to multiple organs, including the intestines, liver, kidneys, brain, and other organs. As there are no specific antidotes available for DQ poisoning, the current therapeutic strategies are essentially restricted to blood purification therapy and supportive care. Numerous studies on the molecular mechanisms and potential therapeutic agents have been conducted over the past few decades. However, there has been no comprehensive summary or analysis of these findings. This review extensively investigates the molecular mechanisms underlying DQ-induced organ injury, with a particular focus on the major signaling pathways. In addition, searches were conducted in PubMed and Web of Science using the following search terms: "diquat"[tiab] OR "diquat"[MeSH Terms]. A total of 166 eligible papers published over the past 35 years were selected. Consequently, more than seventy potential therapeutic agents with protective effects against DQ-induced toxicity are summarized and analyzed. In the future, it will be essential to conduct preclinical research and clinical trials to extrapolate these findings to humans.

Indexed as

DiquatHerbicidesSignal TransductionAnimalsHumansDiquatHerbicidesCell signalingDiquat toxicityOrgan injuryOxidative stressTherapeutic agents

Identifiers

PMID41310297
PMCPMC12660365

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.