Li X, Zhang K, Pajewski N M, Brill I, Prentice H A, Shrestha S, Kilembe W, Karita E, Allen S, Hunter E, Kaslow R A, Tang J
Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Genes Immun. 2015 Apr-May;16(3):213-20. doi: 10.1038/gene.2014.84. Epub 2015 Jan 29.
Numerous reports have suggested that immunogenetic factors may influence human immunodeficiency virus (HIV)-1 acquisition, yet replicated findings that translate between study cohorts remain elusive. Our work aimed to test several hypotheses about genetic variants within the IL10-IL24 gene cluster that encodes interleukin (IL)-10, IL-19, IL-20 and IL-24. In aggregated data from 515 Rwandans and 762 Zambians with up to 12 years of follow-up, 190 single-nucleotide polymorphisms passed quality control procedures. When HIV-1-exposed seronegative subjects (n=486) were compared with newly seroconverted individuals (n=313) and seroprevalent subjects (n=478) who were already infected at enrollment, rs12407485 (G>A) in IL19 showed a robust association signal in adjusted logistic regression models (odds ratio=0.64, P=1.7 × 10(-4) and q=0.033). Sensitivity analyses demonstrated that (i) results from both cohorts and subgroups within each cohort were highly consistent; (ii) verification of HIV-1 infection status after enrollment was critical; and (iii) supporting evidence was readily obtained from Cox proportional hazards models. Data from public databases indicate that rs12407485 is part of an enhancer element for three transcription factors. Overall, these findings suggest that molecular features at the IL19 locus may modestly alter the establishment of HIV-1 infection.
众多报告表明,免疫遗传因素可能会影响人类免疫缺陷病毒1型(HIV-1)的感染,但在不同研究队列间得到重复验证的结果仍不明确。我们的研究旨在验证关于白细胞介素(IL)-10、IL-19、IL-20和IL-24编码基因所在的IL10-IL24基因簇内基因变异的若干假设。在对515名卢旺达人及762名赞比亚人进行长达12年随访的汇总数据中,有190个单核苷酸多态性通过了质量控制程序。将HIV-1暴露后血清学阴性的受试者(n = 486)与新血清转化者(n = 313)以及入组时已感染的血清阳性受试者(n = 478)进行比较,IL19基因中的rs12407485(G>A)在调整后的逻辑回归模型中显示出显著的关联信号(比值比=0.64,P = 1.7×10⁻⁴,q = 0.033)。敏感性分析表明:(i)两个队列以及每个队列内各亚组的结果高度一致;(ii)入组后对HIV-1感染状态的验证至关重要;(iii)从Cox比例风险模型中很容易获得支持证据。来自公共数据库的数据表明,rs12407485是三种转录因子增强子元件的一部分。总体而言,这些发现表明IL19基因座处的分子特征可能会适度改变HIV-1感染的建立过程。