Evidence map›Paper›PMID 40681587›Full record

ArticleScientific reports2025

Network toxicology combined with molecular docking technology to explore the molecular mechanism of amatoxin causing liver injury.

Chenglin Wang, Xin Wang, Yaxing Deng, Yingchun Hu, Li Hu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of microRNA-136 inWorld journal of gastrointestinal oncology · 2026
    Article
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  5. 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

5 authors.

Chenglin WangDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Jiangyang District, Luzhou, Sichuan, China.
Xin WangSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Yaxing DengDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Jiangyang District, Luzhou, Sichuan, China.
Yingchun HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Jiangyang District, Luzhou, Sichuan, China.
Li HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Jiangyang District, Luzhou, Sichuan, China. huli114@swmu.edu.cn.

Funding

IIT Project of Health Commission of Sichuan Province 23LCYJ001Southwest Medical University 00030729
6 · The paper itself

Abstract

As one of the most toxic molecules in the fungal kingdom, amatoxin exhibit exceptional thermal stability and acid resistance. Once ingested, these compounds are rapidly absorbed and transported unimpeded to vital organs. They disrupt cellular metabolism by inhibiting nucleic acid and protein synthesis in target organs, ultimately causing hepatic and renal necrosis. Without prompt intervention, this molecular sabotage can progress to multiorgan failure and death. Early diagnosis combined with aggressive therapeutic measures is crucial for mitigating acute hepatic damage and significantly improving survival outcomes. This study aims to elucidate the molecular mechanisms underlying amatoxin-induced hepatic injury and establish a theoretical framework for targeted therapeutic interventions. Computational toxicology approaches utilizing ProTox-3.0 and ADMETlab 2.0 platforms were employed to characterize amatoxin's toxicological profile. Target prediction was performed through STITCH and SwissTargetPrediction databases, while liver injury-associated targets were identified from GeneCards, OMIM, and TTD repositories. The intersectional targets underwent systematic bioinformatics analysis, including protein-protein interaction (PPI) network construction, Gene Ontology (GO) annotation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Molecular docking simulations were subsequently conducted to characterize three-dimensional binding conformations between amatoxin and core target proteins. Computational screening identified 11 potential amatoxin targets using STITCH and SwissTargetPrediction databases. Parallel interrogation of GeneCards, OMIM, and TTD repositories yielded 1,730 liver injury-related genes. Venn diagram analysis pinpointed SP1 and CNR1 as consensus molecular targets at the amatoxin-hepatic injury interface. PPI network topology revealed critical nodal connections, while functional enrichment analyses delineated key biological processes and signaling pathways associated with these targets. Molecular docking simulations demonstrated high-affinity binding between amatoxin and both SP1 and CNR1, suggesting direct mechanistic interactions. Amatoxin likely exerts hepatotoxic effects through direct binding to the core molecular targets SP1 and CNR1, thereby perturbing downstream transcriptional regulation and disrupting critical signaling cascades, ultimately culminating in hepatic necrosis.

Indexed as

AmanitinsChemical and Drug Induced Liver InjuryMolecular Docking SimulationComputational BiologyHumansLiverProtein Interaction MapsAmanitinsamatoxinAmatoxinCNR1Liver injuryMolecular DockingNetwork toxicologySP1

Identifiers

PMID40681587
PMCPMC12274506

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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.