Evidence map›Paper›PMID 42344598›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Exploring Toxicological Mechanisms of Typical PFAS-Induced NAFLD through Integrated Computational Toxicology and AOP Frameworks.

Fei Li, Jin Wang, Yu Liu, Tao Sun, Chenglong Ji, Huifeng Wu

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 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.

Fei LiCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.ORCID https://orcid.org/0000-0001-7386-0835
Jin WangCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Yu LiuCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Tao SunCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Chenglong JiCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Huifeng WuCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.ORCID https://orcid.org/0000-0002-4042-8103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a typical endocrine disruptor, per- and polyfluoroalkyl substances (PFASs) are closely associated with the onset and progression of non-alcoholic fatty liver disease (NAFLD). However, research on the specific mechanism remains extremely limited. In this study, a multi-methodological framework integrating network toxicology, machine learning, and molecular docking was adopted to explore the potential toxicity and molecular mechanisms of PFAS-induced NAFLD. Key molecular targets were identified by integrating transcriptomic data with toxicological databases such as CTD, ToxCast, and GeneCards. An adverse outcome pathway (AOP) was constructed using integrated PFAS-gene-phenotype evidence, and the interaction network was visualized via Cytoscape. The AOP was further validated through in vitro experiments, QWoE assessment, and clinical sample analysis. We determined that the downregulation of THBS1 serves as the molecular initiating event (MIE) in PFAS-induced NAFLD. This downregulation leads to the activation of the PI3K/AKT signaling pathway, which subsequently triggers lipid metabolic dysregulation and inflammatory responses, ultimately resulting in hepatic steatosis. HFPO-TA causes more pronounced lipid accumulation than PFOA or HFPO-DA at the same concentration, suggesting a higher adipogenic potential. It is particularly worth noting that alternative PFASs may have greater metabolic toxicity than traditional compounds like PFOA. This study clarifies the mechanistic foundation of the AOP of PFAS-induced NAFLD, thus providing support for risk assessment and the identification of potential biomarkers and therapeutic targets.

Indexed as

adverse outcome pathway (AOP)computational toxicologymachine learningnonalcoholic fatty liver disease (NAFLD)per- and polyfluoroalkyl substances (PFASs)

Identifiers

PMID42344598
PMCPMC13288240

What OpenQuestion 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 OpenQuestion graph.