Evidence map›Paper›PMID 40205504›Full record

ArticleEuropean journal of medical research2025

USP21 is involved in the development of chronic hepatitis B by modulating the immune microenvironment.

Pengyu Luo, Yuna Tang, Nan Chen, Pei Liu, Jing Wang, Yuchen Fan, Huihui Liu, Kai Wang

Abstract read
In one paragraph

Article in European journal of medical research, 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

8 authors.

Pengyu LuoDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Yuna TangDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Nan ChenDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Pei LiuDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Jing WangDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Yuchen FanDepartment of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China.
Huihui Liu *Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China. liuhuihui_2017@163.com.
Kai Wang *Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, People's Republic of China. wangdoc876@126.com.

Funding

the National Key Research and Development Program of China 2021YFC2301801the National Natural Science Foundation of China 82272313
6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a global public health challenge that alters the immune microenvironment of the liver and drives disease progression by triggering chronic inflammation that leads to hepatic cell death through multiple programmed cell death (PCD) modalities. Due to the persistence of covalently closed circular DNA in hepatocytes, there is a lack of curative drugs that can completely eradicate HBV. Therefore, revealing how HBV infection leads to changes in the hepatic immune microenvironment, as well as searching for specific molecular targets, is crucial for controlling the onset and progression of chronic hepatitis B (CHB). In this study, we used the single sample gene set enrichment analysis and CIBERSORT algorithms to assess immune cell infiltration in the livers of CHB patients. With three advanced machine learning algorithms, random forest, least absolute shrinkage and selection operator, and selected support vector machine recursive feature elimination, we identified the PCD signature genes associated with CHB from the candidate genes. We further validated that ubiquitin-specific peptidase 21 could differentiate CHB patients with different natural courses by receiver operating characteristic analysis. These findings enhance our understanding of the mechanisms of HBV infection.

Indexed as

Cellular MicroenvironmentHepatitis B, ChronicUbiquitin ThiolesteraseHepatitis B virusHumansLiverMaleUbiquitin ThiolesteraseChronic hepatitis BImmune microenvironmentMachine learningUSP21

Identifiers

PMID40205504
PMCPMC11980114

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.