Evidence map›Paper›PMID 41463334›Full record

ArticleBiomolecules2025

Molecular Network Analysis of HBV Persistent Infection from the Perspective of Whole Transcriptome.

Qiuping Chen, Congying Tang, Haiyang Hu, Yichen Peng, Jibin Liu, Peijie Wu, Quansheng Feng, Yuming Jiang, Baixue Li

Abstract read
In one paragraph

Article in Biomolecules, 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

9 authors.

Qiuping ChenSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Congying TangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Haiyang HuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yichen PengSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Jibin LiuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Peijie WuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Quansheng FengSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yuming JiangKey Laboratory of Digital Protection for Unearthed Medical Literature and Cultural Relics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Baixue LiSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Funding

National Natural Science Foundation of China 82374314National Natural Science Foundation of China 82405052Natural Science Foundation of Sichuan Province 2024NSFSC1829
6 · The paper itself

Abstract

(1) Background: After HBV infection, viral transcripts and host RNA form a multi-layered interwoven regulatory network. However, a comprehensive map encompassing mRNA, miRNA, lncRNA, and circRNA is still lacking. This absence complicates the systematic explanation of the molecular mechanisms driving immune escape and metabolic reprogramming during the persistent infection stage. (2) Methods: In this study, we established a mouse model of chronic HBV infection and analyzed the differential expression of mRNA, miRNA, lncRNA, and circRNA through whole transcriptome sequencing (WTS). We constructed a competing endogenous RNA (ceRNA) network to systematically evaluate the overall impact of HBV on the host's immune-metabolic pathways. (3) Results: RNA sequencing results indicated that HBV infection significantly up-regulated 194 mRNAs, 18 miRNAs, 184 lncRNAs, and 28 circRNAs, while down-regulating 42, 16, 122, and 31 corresponding transcripts, respectively. The differentially expressed genes were primarily enriched in pathways related to metabolism, immunity/inflammation, and signal transduction-ligand receptor interactions. Furthermore, the competitive endogenous RNA networks of lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA constructed on this basis further identified miR-185-3p as a key core node. (4) Conclusions: In this study, based on whole transcriptome data, the gene expression profiles of rcccDNA/Ad-infected Alb-Cre transgenic mice (chronic HBV infection model) and normal Alb-Cre mice were systematically compared, and the core regulatory factor miR-185-3p of key differentially expressed genes was screened. The microRNA is expected to provide a new target for the precise treatment of chronic hepatitis B by targeted intervention of viral replication and high liver inflammation.

Indexed as

Hepatitis B, ChronicHepatitis B virusTranscriptomeAnimalsDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksMaleMiceMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingViral Replicase Complex ProteinsMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingViral Replicase Complex Proteinschronic hepatitis Bhepatitis B virusrecombinant rcccDNAwhole transcriptomics

Identifiers

PMID41463334
PMCPMC12730297

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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.