Evidence map›Paper›PMID 41714631›Full record

ArticleNature communications2026

Multi-lineage hepatic organoids reveal toxic exosome mediated indirect hepatotoxicity.

Lei Sun, Yuying Zhang, Yudi Niu, He Yang, Lyu Zhou, Xiaodong Jia, Yihan Chen, Zhiqiang Liu, Tiantian Wang, Kaini Liang and 4 more

Abstract read
In one paragraph

Article in Nature communications, 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

14 authors.

Lei SunSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-0757-8476
Yuying ZhangSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-5655-3534
Yudi NiuSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-5619-1502
He YangDepartment of Pathology, Beijing Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-9171-5500
Lyu ZhouSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0001-5720-0762
Xiaodong JiaSouthern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0002-2145-6272
Yihan ChenSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Zhiqiang LiuSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Tiantian WangSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Kaini LiangSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Dongdong FanSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Sida LingDepartment of Chemical Engineering, Tsinghua University, Beijing, China.
Zhen ZengPeking University 302 Clinical Medical School, Beijing, China. zengzhen1970@sina.com.ORCID http://orcid.org/0000-0002-1574-7196
Yanan DuSchool of Biomedical Engineering, Tsinghua Medicine, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China. duyanan@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-2627-9727

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32430058, 82125018Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z230016
6 · The paper itself

Abstract

Indirect hepatotoxicity remains a major challenge in drug development because of limited evaluation tools and mechanistic insight. Here, we construct three-dimensional multi-lineage hepatic organoids comprising five liver cell types derived from human embryonic stem cells, and in a screen of 58 hepatotoxic drugs, identify imipramine as an inducer of indirect hepatotoxicity. Imipramine specifically engages tyrosine kinase receptor B expressed by non-parenchymal hepatic stellate cells, activating the p53/hnRNPA2B1/DGCR8 pathway, which drives selective enrichment of microRNA-34a-3p in hepatic stellate cell-derived exosomes, thereby converting them into toxic exosomes. These toxic exosomes transfer microRNA-34a-3p to hepatocytes, where it disrupts cellular homeostasis by downregulating the anti-apoptotic protein XIAP, thereby activating caspase3 and inducing apoptosis. Consistently, imipramine long-term gavage in vivo triggers hepatic stellate cell apoptosis and toxic exosome-mediated hepatocyte injury without direct hepatocyte toxicity. Our findings establish a biomimetic organoid platform for precision drug testing and highlight the central role of intercellular communication in drug-induced liver injury.

Indexed as

Chemical and Drug Induced Liver InjuryExosomesLiverOrganoidsAnimalsApoptosisCaspase 3Cell LineageHepatic Stellate CellsHepatocytesHuman Embryonic Stem CellsHumansImipramineMiceTumor Suppressor Protein p53X-Linked Inhibitor of Apoptosis ProteinCaspase 3ImipramineTumor Suppressor Protein p53XIAP protein, humanX-Linked Inhibitor of Apoptosis Protein

Identifiers

PMID41714631
PMCPMC13031851

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.