Publication Name	World Journal of Virology
Manuscript ID	101976
Country	India

Received	2024-10-08 00:16
Peer-Review Started	2024-10-18 00:48
To Make the First Decision
Return for Revision	2025-01-08 13:55
Revised	2025-01-26 16:14
Second Decision	2025-02-20 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-02-20 09:10
Articles in Press	2025-02-20 09:10
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-04-01 01:20
Publish the Manuscript Online	2025-06-23 07:18

ISSN	2220-3249 (online)
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Category	Biochemistry & Molecular Biology
Manuscript Type	Observational Study
Article Title	Micro RNAs as a potential biomarker for predicting liver fibrosis severity in hepatitis C virus affected patients
Manuscript Source	Invited Manuscript
All Author List	Navneet Kaur, Ravinder Garg, Chaitanya Tapasvi and Gitanjali Goyal
ORCID	Author(s) ORCID Number Navneet Kaur http://orcid.org/0000-0002-1766-1636 Ravinder Garg http://orcid.org/0000-0003-0916-2412 Chaitanya Tapasvi http://orcid.org/0000-0002-0244-1200 Gitanjali Goyal http://orcid.org/0000-0002-2105-1312
Funding Agency and Grant Number
Corresponding Author	Navneet Kaur, Department of Biochemistry, Guru Gobind Singh Medical College and Hospital, Baba Farid University of Health Sciences, Sadiq Road, Faridkot 151203, Punjab, India. navmann23@yahoo.com
Key Words	Hepatitis C virus; Non-invasive biomarkers; MicroRNAs; Complex bayesian networks; Liver fibrosis; Liver diseases
Core Tip	Early liver fibrosis detection by biomarkers improves treatment and prevents cirrhosis and liver failure. We investigated various microRNAs (miRNA-122, miRNA-21, miRNA-199, miRNA-155) to determine liver fibrosis severity in untreated Hepatitis C virus (HCV) patients. Our study examined how miRNAs affect HCV fibrosis diagnosis. We tested miRNAs for liver fibrosis stage using statistical and probabilistic approaches for 100 HCV-positive individuals. Bayesian Networks were used to develop a miRNA diagnostic relationship for HCV liver fibrosis severity. miR-122, miR-155, and miR-21 were significantly elevated relative to controls and fibrosis severity (P ≤ 0.05) whereas MiR-199a decreased with fibrosis. Diagnostically, miR-122, miR-155, and miR-21 are accurate fibrosis biomarkers.
Publish Date	2025-06-23 07:18
Citation	<p>Kaur N, Garg R, Tapasvi C, Goyal G. Micro RNAs as a potential biomarker for predicting liver fibrosis severity in hepatitis C virus affected patients. <i>World J Virol</i> 2025; 14(2): 101976</p>
URL	https://www.wjgnet.com/2220-3249/full/v14/i2/101976.htm
DOI	https://dx.doi.org/10.5501/wjv.v14.i2.101976

Full Article (PDF)	WJV-14-101976-with-cover.pdf
STROBE Statement	101976-STROBE-statement.pdf
Manuscript File	101976_Auto_Edited_030348.docx
Answering Reviewers	101976-answering-reviewers.pdf
Audio Core Tip	101976-audio.m4a
Biostatistics Review Certificate	101976-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	101976-conflict-of-interest-statement.pdf
Copyright License Agreement	101976-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s)	101976-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	101976-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	101976-non-native-speakers.pdf
Peer-review Report	101976-peer-reviews.pdf
Scientific Misconduct Check	101976-scientific-misconduct-check.png
Scientific Editor Work List	101976-scientific-editor-work-list.pdf
CrossCheck Report	101976-crosscheck-report.pdf