Evidence map›Paper›PMID 42253938›Full record

ArticleMedComm2026

Bioartificial Livers Developed From Gene-Edited Pig Hepatocyte Organoids Improve Amino Acid and Lipid Profiles in the Plasma of Patients With Liver Failure.

Yuting He, Yang Deng, Xinglong Zhu, Mengyu Gao, Qin Liu, Wanliu Peng, Yanyan Zhou, Lang Bai, Ji Bao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MedComm, 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

9 authors.

Yuting HeDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Yang DengDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Xinglong ZhuDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Mengyu GaoKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education Chengdu China.
Qin LiuDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Wanliu PengDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Yanyan ZhouDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.
Lang BaiCenter of Infectious Diseases West China Hospital Sichuan University Chengdu China.
Ji BaoDepartment of Pathology Institute of Clinical Pathology Key Laboratory of Transplant Engineering and Immunology NHC West China Hospital Sichuan University Chengdu China.ORCID https://orcid.org/0000-0001-8413-3270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver failure remains a life-threatening syndrome where the available therapeutic options are extremely limited beyond transplantation. This study addresses critical cell source and mechanistic challenges by developing a novel bioartificial liver (BAL) system. We utilized CRISPR/Cas9 technology to knockout the

Indexed as

bioartificial livergene editingliver failureliver organoidsmetabolomics

Identifiers

PMID42253938
PMCPMC13239287

What OpenQuestion holds

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Registered trials

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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.