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BAT2基因变异与流感疫苗接种的免疫反应性相关。

Genetic variants in BAT2 are associated with immune responsiveness to influenza vaccination.

作者信息

Wen Simin, Wei Hejiang, Li Mao, Zhong Shuyi, Cheng Yanhui, Huang Weijuan, Wang Dayan, Shu Yuelong

机构信息

Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.

National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Prevention and Control, Beijing, China.

出版信息

Front Genet. 2023 Feb 9;14:1059447. doi: 10.3389/fgene.2023.1059447. eCollection 2023.

DOI:10.3389/fgene.2023.1059447
PMID:36845396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9951381/
Abstract

Influenza is a global public health problem for its detrimental impact on human health. Annual vaccination is the most effective prevention of influenza infection. Identifying host genetic factors associated with the responsiveness to influenza vaccines can provide clues for developing more effective influenza vaccines. In this study, we aimed to explore whether the single nucleotide polymorphisms in BAT2 are associated with the antibody responses to influenza vaccines. A nested case-control study was conducted in this research. 1968 healthy volunteers were enrolled and 1,582 of them from a Chinese Han population were eligible for further research. According to the hemagglutination inhibition titers of subjects against all influenza vaccine strains, a total of 227 low responders and 365 responders were included in the analysis. Six tag single nucleotide polymorphisms in the coding region of BAT2 were selected and genotyped using the MassARRAY technology platform. Univariable and multivariable analyses were conducted to evaluate the relationship between variants and antibody responses to influenza vaccination. Multivariable logistic regression analysis showed that, compared with the rs1046089GG genotype, the GA + AA genotype was correlated with decreased risk of low responsiveness to influenza vaccines after adjusting for gender and age ( = 1.12E-03, OR = .562, 95%CI: .398-.795). rs9366785 GA + AA genotype was associated with a higher risk of low responsiveness to influenza vaccination compared with the GG genotype ( = .003, OR = 1.854, 95%CI: 1.229-2.799). The haplotype consisting of rs2280801-rs10885-rs1046089-rs2736158-rs1046080-rs9366785 CCAGAG was correlated with a higher level of antibody response to influenza vaccines compared with haplotype CCGGAG ( < .001, OR = .37, 95%CI: .23-.58). Genetic variants in BAT2 were statistically associated with the immune response to influenza vaccination among the Chinese population. Identifying these variants will provide clues for further research on novel broad-spectrum influenza vaccines, and improve the individualized influenza vaccination scheme.

摘要

流感因其对人类健康的有害影响而成为一个全球公共卫生问题。年度疫苗接种是预防流感感染最有效的方法。识别与流感疫苗反应性相关的宿主遗传因素可为开发更有效的流感疫苗提供线索。在本研究中,我们旨在探讨BAT2中的单核苷酸多态性是否与流感疫苗的抗体反应相关。本研究进行了一项巢式病例对照研究。招募了1968名健康志愿者,其中1582名来自中国汉族人群符合进一步研究的条件。根据受试者对所有流感疫苗株的血凝抑制效价,共227名低反应者和365名反应者纳入分析。选择BAT2编码区的6个标签单核苷酸多态性,并使用MassARRAY技术平台进行基因分型。进行单变量和多变量分析以评估变异与流感疫苗接种抗体反应之间的关系。多变量逻辑回归分析表明,与rs1046089GG基因型相比,GA + AA基因型在调整性别和年龄后与流感疫苗低反应性风险降低相关( = 1.12E - 03,OR = 0.562,95%CI:0.398 - 0.795)。与GG基因型相比,rs9366785 GA + AA基因型与流感疫苗接种低反应性风险较高相关( = 0.003,OR = 1.854,95%CI:1.229 - 2.799)。由rs2280801 - rs10885 - rs1046089 - rs2736158 - rs1046080 - rs9366785组成的单倍型CCAGAG与CCGGAG单倍型相比,与流感疫苗的抗体反应水平较高相关( < 0.001,OR = 0.37,95%CI:0.23 - 0.58)。BAT2中的基因变异在中国人群中与流感疫苗接种的免疫反应在统计学上相关。识别这些变异将为新型广谱流感疫苗的进一步研究提供线索,并改善个性化流感疫苗接种方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/25544db6ffcf/fgene-14-1059447-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/001925704e15/fgene-14-1059447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/99fd894a79cd/fgene-14-1059447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/25544db6ffcf/fgene-14-1059447-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/001925704e15/fgene-14-1059447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/99fd894a79cd/fgene-14-1059447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a1/9951381/25544db6ffcf/fgene-14-1059447-g003.jpg

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