Copyright
©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 7, 2020; 26(41): 6378-6390
Published online Nov 7, 2020. doi: 10.3748/wjg.v26.i41.6378
Published online Nov 7, 2020. doi: 10.3748/wjg.v26.i41.6378
Associations of content and gene polymorphism of macrophage inhibitory factor-1 and chronic hepatitis C virus infection
Xun-Jun Yang, Xiao-Ou Wang, Song-Dao Ye, Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
Yao Chen, Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325006, Zhejiang Province, China
Author contributions: Yang XJ and Wang XO carried out the study, participated in data collection, and drafted the manuscript; Chen Y provided advice for this research and took part in the manuscript revision; Ye SD conceived the study and revised the manuscript; All authors read and approved the final manuscript.
Supported by the Medical and Health Research Science and Technology Plan Project of Zhejiang Province , No. 2016KYB191 .
Institutional review board statement: This study was approved by the Ethics Committee of The Second Affiliated Hospital of Wenzhou Medical University (LCKY2016-150).
Informed consent statement: All patients signed the informed consent before participation in the study.
Conflict-of-interest statement: No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Data sharing statement: The data that support the findings of this study are available from The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Song-Dao Ye, MSc, Doctor, Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, No. 109 Xueyuan West Road, Puxie Street, Lucheng District, Wenzhou 325027, Zhejiang Province, China. ysd955022@163.com
Received: June 18, 2020
Peer-review started: June 18, 2020
First decision: August 22, 2020
Revised: September 7, 2020
Accepted: September 29, 2020
Article in press: September 29, 2020
Published online: November 7, 2020
Processing time: 140 Days and 17.7 Hours
Peer-review started: June 18, 2020
First decision: August 22, 2020
Revised: September 7, 2020
Accepted: September 29, 2020
Article in press: September 29, 2020
Published online: November 7, 2020
Processing time: 140 Days and 17.7 Hours
Core Tip
Core Tip: In this study, the relationship between the polymorphisms in the exon region of macrophage inhibitory factor-1 (MIC-1), plasma MIC-1 level and chronic hepatitis C virus (commonly known as HCV) infection were preliminarily investigated. We found that the genotype at rs1059519 could influence the plasma MIC-1 level and both were correlated with chronic hepatitis C (CHC), and the G allele at rs1059519 was an independent risk factor for CHC. Therefore, the baseline MIC-1 level of plasma and rs1059519 polymorphisms can be used as a predictive marker for HCV infection.