Evidence map›Paper›PMID 41233528›Full record

ArticleCommunications biology2025

Targeted cellular depletion in an immune-liver-on-a-chip platform elucidates cell-type-specific heterogeneity in drug-induced hepatotoxicity.

Shuai Yuan, Peng Zhang, Shangwen Yang, Juan Chen, Xiaofeng Mu, Chengjun Wu, Jiu Deng

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

7 authors.

Shuai YuanSchool of Health and Life Sciences, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Peng ZhangDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID http://orcid.org/0000-0001-6325-4313
Shangwen YangSchool of Health and Life Sciences, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Juan ChenDepartment of Clinical Laboratory, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Xiaofeng MuDepartment of Clinical Laboratory, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Chengjun WuSchool of Health and Life Sciences, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China. wcj5532@126.com.ORCID http://orcid.org/0000-0001-9940-2605
Jiu DengSchool of Health and Life Sciences, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China. dengjiu@uhrs.edu.cn.ORCID http://orcid.org/0000-0003-1802-3123

Funding

Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2024QH638
6 · The paper itself

Abstract

Drug-induced hepatotoxicity remains a critical challenge in pharmacological safety evaluation; however, the lack of analytical tools to distinguish cell-type-specific hepatotoxic responses hinders mechanistic understanding of toxicity pathways. Herein, we provide proof-of-principle for using an immunocompetent liver-on-a-chip platform that integrates six distinct cell models with a targeted cell depletion strategy to rapidly assess pharmaceutical candidates' hepatotoxic profiles. The platform recapitulated immune cell migration dynamics and stress-responsive behaviors under chemokine induction, while integrated fluidic characterization ensured physiologically relevant microenvironmental control. We applied the targeted depletion strategy to resolve cell population-specific contributions to hepatotoxic outcomes using four mechanistically diverse compounds: acetaminophen, ethinyl estradiol, sulfamethoxazole, and abacavir. Our findings reveal coordinated participation of multiple hepatic cell populations in toxicological processes and identify dominant hepatotoxicity-inducing factors. The immune-dependent toxicity resolution was further validated using a known immune-mediated drug-induced liver injury drug, allopurinol. Overall, this study establishes a targeted cell depletion strategy integrated within an immunocompetent liver-on-a-chip platform, enabling rapid identification of hepatotoxic determinants, and represents a significant advancement in predictive toxicology systems, while providing strategic insights for subsequent pathway analysis.

Indexed as

Chemical and Drug Induced Liver InjuryHepatocytesLab-On-A-Chip DevicesLiverAcetaminophenAnimalsHumansAcetaminophen

Identifiers

PMID41233528
PMCPMC12615779

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.