Evidence map›Paper›PMID 38139051›Full record

ReviewInternational journal of molecular sciences2023

Hepatitis B Virus and microRNAs: A Bioinformatics Approach.

Verdiana Zulian, Giulia Fiscon, Paola Paci, Anna Rosa Garbuglia

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Non-coding RNAs in alcohol-associated liver disease.Liver research (Beijing, China) · 2025
    Review
  4. Review
  5. Article
  6. Article
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

4 authors at 2 institutions in 1 country.

Verdiana ZulianVirology Laboratory, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, 00149 Rome, Italy.
Giulia FisconDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-3354-8203
Paola PaciDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Anna Rosa GarbugliaVirology Laboratory, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, 00149 Rome, Italy.ORCID 0000-0002-2687-8642
Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITNational Research Council · IT

Funding

Ministero della Salute Ricerca corrente "Linea 3 epatiti"
6 · The paper itself

Abstract

In recent decades, microRNAs (miRNAs) have emerged as key regulators of gene expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including hepatitis B virus (HBV), has attracted significant attention. HBV infections often progress to chronic states (CHB) and may induce fibrosis/cirrhosis and hepatocellular carcinoma (HCC). The presence of HBV can dysregulate host miRNA expression, influencing several biological pathways, such as apoptosis, innate and immune response, viral replication, and pathogenesis. Consequently, miRNAs are considered a promising biomarker for diagnostic, prognostic, and treatment response. The dynamics of miRNAs during HBV infection are multifaceted, influenced by host variability and miRNA interactions. Given the ability of miRNAs to target multiple messenger RNA (mRNA), understanding the viral-host (human) interplay is complex but essential to develop novel clinical applications. Therefore, bioinformatics can help to analyze, identify, and interpret a vast amount of miRNA data. This review explores the bioinformatics tools available for viral and host miRNA research. Moreover, we introduce a brief overview focusing on the role of miRNAs during HBV infection. In this way, this review aims to help the selection of the most appropriate bioinformatics tools based on requirements and research goals.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis B, ChronicLiver NeoplasmsMicroRNAsComputational BiologyHepatitis B virusHumansMicroRNAsantiviral treatmentbioinformatics toolsbiomarkerschronic infectionhepatitis B virusinfectious diseasesmicroRNA

Identifiers

PMID38139051
PMCPMC10743825
OpenAlexW4389443399

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.