Investigating the role of killer cell immunoglobulin‐like receptors and human leukocyte antigen genetic variants in hepatitis C virus infection

Author:

Li Yuwen1,Zeng Tian2,Huang Peng3ORCID,Tan Weilong4ORCID,Feng Yue5ORCID,Xia Xueshan6ORCID,Feng Zepei7,Shen Chao8,Fan Haozhi9,Zhu Chuanlong210,Yin Wen2,Qian Liqin3,Ren Chengrui2,Yue Ming2ORCID

Affiliation:

1. Department of Pediatrics The First Affiliated Hospital of Nanjing Medical University Nanjing China

2. Department of Infectious Diseases The First Affiliated Hospital of Nanjing Medical University Nanjing China

3. Department of Epidemiology, School of Public Health, Center for Global Health Nanjing Medical University Nanjing China

4. Nanjing Bioengineering (Gene) Technology Center for Medicines Nanjing China

5. Faculty of Life Science and Technology Kunming University of Science and Technology Kunming China

6. Yunnan Provincial Key Laboratory of Public Health and Biosafety Kunming Medical University Kunming China

7. Department of Occupational Disease Control Chengdu Center for Disease Control and Prevention Chengdu China

8. Department of Immunization Program Nanjing Municipal Center for Disease Control and Prevention Nanjing China

9. Department of Information First Affiliated Hospital of Nanjing Medical University Nanjing China

10. Department of Tropical Diseases the Second Affiliated Hospital of Hainan Medical University Haikou Hainan China

Abstract

AbstractThe genetic diversity of killer cell immunoglobulin‐like receptors (KIRs) and human leukocyte antigen (HLA) genes influences the host's immune response to viral pathogens. This study aims to explore the impact of five single nucleotide polymorphisms (SNPs) in KIR3DL2 and HLA‐A genes on hepatitis C virus (HCV) infection. A total of 2251 individuals were included in the case‐control study. SNPs including KIR3DL2 rs11672983, rs3745902, rs1654644, and HLA‐A rs3869062, rs12202296 were genotyped. By controlling various confounding factors using a modified logistic regression model, as well as incorporating stratified analysis, joint effects analysis, and multidimensional bioinformatics analysis, we analyzed the relationship between SNPs and HCV infection. The logistic regression analysis showed a correlation between KIR3DL2 rs11672983 AA, KIR3DL2 rs3745902 TT, and increased HCV susceptibility (p < 0.01). Stratified analysis indicated that KIR3DL2 rs1654644 and HLA‐A rs3869062 also heightened HCV susceptibility in certain subgroups. A linear trend of rising HCV infection rates was observed when combining KIR3DL2 rs11672983 AA and KIR3DL2 rs3745902 TT (ptrend = 0.007). Bioinformatics analysis suggested these SNPs' regulatory potential and their role in altering messenger RNA secondary structure, implying their functional relevance in HCV susceptibility. Our findings indicate that KIR3DL2 rs11672983 AA and KIR3DL2 rs3745902 TT are significantly associated with increased susceptibility to HCV infection.

Publisher

Wiley

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