Evidence map›Paper›PMID 40704075›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Evaluating the Vascular Risk of PFCs: An Integrated XGBoost-Driven Structure-Activity Prediction and Experimental Validation Study.

Gan Miao, Chengying Zhou, Liting Xu, Li Zhao, Jingxu Zhang, Ze Zhang, Zhe Kou, Rifat Zubair Ahmed, Dawei Lu, Xiaoting Jin and 1 more

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Gan MiaoDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Chengying ZhouDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Liting XuDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Li ZhaoPingdu City Center for Disease Control and Prevention, Pingdu 266700, China.
Jingxu ZhangDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Ze ZhangDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Zhe KouDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Rifat Zubair AhmedDepartment of Genetics, University of Karachi, Karachi 75270, Pakistan.
Dawei LuState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100191, China.
Xiaoting JinDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.ORCID https://orcid.org/0000-0002-6526-8046
Yuxin ZhengDepartment of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perfluorochemicals (PFCs) are emergent and persistent organic pollutants with widespread application. Their structural similarity and detection in serum raises substantial concerns regarding their toxicological effects. While the endocrine-disrupting effects of PFCs are well-recognized, the structure-activity relationship with respect to vascular function has not been investigated yet. This study addresses this critical gap by investigating the impact of PFCs on endothelial cell function, a key determinant of cardiovascular health. Through a machine learning-based quantitative structure-activity relationship (QSAR) model, we analyzed 16 structural descriptors for 23 environmentally prevalent PFCs with respect to their binding affinities to endothelial cell receptors. The eXtreme Gradient Boosting (XGBoost) algorithm suggested short-chain PFCs with strong acid groups may as particularly detrimental to endothelial cells, a finding substantiated by subsequent cell culture experiments. We also integrated computational and experimental approaches, providing a detailed understanding of the structure-activity and dose-response relationships of PFCs. Furthermore, the population health risk assessment, linking

Indexed as

perfluorochemicalsrisk assessmentstructure−activity relationshipvascular functionXGBoost

Identifiers

PMID40704075
PMCPMC12281208

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.