Evidence map›Paper›PMID 41828566›Full record

ArticleInternational journal of molecular sciences2026

Integrating Network Toxicology, Machine Learning, and Molecular Dynamics to Explore the Molecular Network of Triclosan-Induced Acute Myocardial Infarction.

Qi Zhang, Siwei Zou, Ziyao Yang, Jingbo Cao, Yajuan Fu, Chenjie Feng, Yue Sun, Anning Yang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

8 authors.

Qi ZhangGeneral Hospital of Ningxia Medical University, School of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Siwei ZouNHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China.
Ziyao YangThe Second School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China.
Jingbo CaoThe Second School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China.
Yajuan FuNHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China.
Chenjie FengCollege of Medical Information and Engineering, Ningxia Medical University, Yinchuan 750004, China.
Yue SunGeneral Hospital of Ningxia Medical University, School of Public Health, Ningxia Medical University, Yinchuan 750004, China.ORCID 0000-0003-4480-0811
Anning YangGeneral Hospital of Ningxia Medical University, School of Public Health, Ningxia Medical University, Yinchuan 750004, China.ORCID 0009-0004-0606-5937

Funding

National Natural Science Foundation of China 82271626National Natural Science Foundation of China 82560099Ningxia Medical University XJKF230106Ningxia Natural Science Foundation 2022AAC05025"Western Young Scholars" Program of the Chinese Academy of Sciences XJKF230106
6 · The paper itself

Abstract

Triclosan (TCS) exposure is linked to increased acute myocardial infarction (AMI) risk, but underlying mechanisms remain unclear. Here, we integrated network toxicology, machine learning, molecular simulations, and in vitro assays to delineate this pathway. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) identified 37 candidate genes, which were refined via machine learning to 8 core regulators (including

Indexed as

Machine LearningMolecular Dynamics SimulationMyocardial InfarctionTriclosanAnimalsCyclooxygenase 2Gene Regulatory NetworksHumansMolecular Docking SimulationMyocytes, CardiacCyclooxygenase 2Triclosanacute myocardial infarctionmachine learningmolecular dynamics simulationnetwork toxicologytriclosan

Identifiers

PMID41828566
PMCPMC12986529

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.