Evidence map›Paper›PMID 42021999›Full record

ArticleClinical and experimental hepatology2025

Identification of novel therapeutic targets for liver fibrosis, cirrhosis, and hepatocellular carcinoma

Jian Chen, Rongge Cao, Zhiyuan He, Zifan Li, Yanan Hong, Chuanzeng Ren, Ying Wang, Jiazhao Wu, Yongqing Liu, Honghai Xia

Abstract read
In one paragraph

Article in Clinical and experimental hepatology, 2025. 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

10 authors.

Jian Chen *Department of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Rongge Cao *Department of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Zhiyuan HeDepartment of Allergy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Zifan LiDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Yanan HongDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Chuanzeng RenDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Ying WangDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Jiazhao WuDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Yongqing LiuDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Honghai XiaDepartment of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim of the study: Liver fibrosis (LF), cirrhosis, and hepatocellular carcinoma (HCC) are strongly correlated and impose a heavy burden on the global healthcare system. Currently, there are no effective treatments, and thus we performed dual-omics analysis to identify new targets and regulatory mechanisms. Material and methods: A two-sample Mendelian randomization (MR), with cis-expression quantitative trait locus (cis-eQTL) as the genomic variables and cis-protein quantitative trait locus (cis-pQTL) as the proteomic variables, was performed to identify candidate therapeutic targets for LF, cirrhosis, and HCC at the gene and protein levels. Colocalization analysis was performed to screen for significant candidate targets. Moreover, the results were validated using summary-data-based MR (SMR) analysis. To further explore the downstream regulatory mechanisms of the targets, we performed two-step MR, with circulating metabolites, immune cells, gut microbiota, and inflammatory proteins as mediating variables. Results: Through the two-sample MR, we identified 9 candidate targets for LF, 6 targets for cirrhosis, and 12 targets for HCC. Two significant therapeutic targets for LF, 3 targets for cirrhosis, and 1 target for HCC were identified through colocalization analysis. Among them, DMWD, CDK13, ATRAID, SLC5A6, and CD300LD were validated through SMR. Further analysis revealed that ATRAID might inhibit cirrhosis by upregulating threonine levels. In contrast, CDK13 was predicted to promote LF by suppressing CD20 on naive-mature B cells. Conclusions: In this study, dual-omics analysis identified new therapeutic targets for LF, cirrhosis, and HCC, as well as potential regulatory mechanisms; these results lay the foundation for further investigations into the disease mechanisms and new drug development.

Indexed as

cirrhosisdual-omicshepatocellular carcinomaliver fibrosistargets

Identifiers

PMID42021999
PMCPMC13097301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.