Evidence map›Paper›PMID 40281753›Full record

ArticleBioengineering (Basel, Switzerland)2025

Towards a Better Understanding of the Human Health Risk of Per- and Polyfluoroalkyl Substances Using Organoid Models.

Haoan Xu, Jiahui Kang, Xue Gao, Yingying Lan, Minghui Li

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The New Frontiers of Artificial Organ Engineering.Bioengineering (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Review
  4. Review
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.

Haoan XuSchool of Life Sciences and Technology, Tongji University, Shanghai 200120, China.
Jiahui KangKey Lab of Visual Damage and Regeneration & Restoration of Chongqing, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Xue GaoKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400030, China.
Yingying LanInstitute of Burn Research, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Minghui LiKey Lab of Visual Damage and Regeneration & Restoration of Chongqing, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.

Funding

National Natural Science Foundation of China 82204083
6 · The paper itself

Abstract

The ubiquitous presence of per- and polyfluoroalkyl substances (PFAS) in the environment has garnered global public concern. Epidemiological studies have proved that exposure to PFAS is associated with human health risks. Although evidence demonstrated the toxic mechanisms of PFAS based on animal models and traditional cell cultures, their limitations in inter-species differences and lack of human-relevant microenvironments hinder the understanding of health risks from PFAS exposure. There is an increasing necessity to explore alternative methodologies that can effectively evaluate human health risks. Human organoids derived from stem cells accurately mimic the sophisticated and multicellular structures of native human organs, providing promising models for toxicology research. Advanced organoids combined with innovative technologies are expected to improve understanding of the breadth and depth of PFAS toxicity.

Indexed as

human healthhuman organoidsper- and polyfluoroalkyl substancesPFAStoxicity assessment

Identifiers

PMID40281753
PMCPMC12025065

What OpenQuestion holds

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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 OpenQuestion graph.