Influence of IL28B gene polymorphisms on PegINF-RBV-mediated HCV clearance in HIV-HCV co-infected patients: A meta-analysis

IF 0.8 Q4 GENETICS & HEREDITY Meta Gene Pub Date : 2021-09-01 DOI:10.1016/j.mgene.2021.100909
Nirmal Kumar , Suchitra S. Prabhu , Isha Monga , Indranil Banerjee
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Abstract

Background

Previous studies suggested, variations in the IL28B gene can serve as predictors of sustained and rapid virological responses (SVR and RVR) in the treatment of HCV with pegylated interferon and ribavirin (pegINF-RBV) among HCV-HIV co-infected patients. Here, we explored the correlation between IL28B variants (rs12979860, rs8099917 and rs12980275) and treatment response for HCV among co-infected individuals using meta-analysis.

Methods

Relevant studies were retrieved from PubMed, EBSCO, ISI Web of Knowledge, Cochrane databases, and the role of IL28B variants on SVR and RVR in co-infected patients treated with pegINF-RBV was evaluated. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by fixed- and random-effects models.

Results

Forty-three studies consisting 3499 patients who achieved SVR/RVR and 4308 non-responders were included in our study. The CC, TT and AA genotypes of IL28B rs12979860, rs8099917 and rs12980275, respectively, were associated with SVR in the recessive model for all HCV genotypes: rs12979860, OR = 3.18 [95% CI (2.66, 3.79)]; P < 0.0001; rs8099917, OR = 3.6`9 [95% CI (2.74, 4.97)]; P < 0.0001; rs12980275, OR = 2.97 [95% CI (2.26, 3.89)]; P < 0.0001. Significant association of rs12979860 CC genotype with RVR was also found: OR = 2.31 [95% CI (1.54, 3.57)]; P < 0.0001. Stratification analysis of HCV genotypes revealed similar trends of association with the rs12979860 CC genotype for HCV-1, HCV-1/4 and HCV-4, but no association was found for HCV-2/3 and HCV-3.

Conclusions

Our meta-analysis suggests that the CC, TT and AA genotypes of IL28B rs12979860, rs8099917 and rs12980275, respectively, are strong predictors for SVR, and the rs12979860 CC genotype has significant RVR predictive value in HCV-HIV co-infected patients treated with pegINF-RBV.

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IL28B基因多态性对HIV-HCV合并感染患者pegif - rbv介导的HCV清除的影响:一项荟萃分析
先前的研究表明,在HCV- hiv合并感染患者中,il - 28b基因的变异可以作为持续和快速的病毒学反应(SVR和RVR)的预测因子。在这里,我们通过荟萃分析探讨了IL28B变异(rs12979860、rs8099917和rs12980275)与共感染个体HCV治疗反应之间的相关性。方法从PubMed、EBSCO、ISI Web of Knowledge、Cochrane数据库中检索相关研究,评估IL28B变异对pegif - rbv合并感染患者SVR和RVR的影响。通过固定效应和随机效应模型计算优势比(ORs)和95%置信区间(ci)。结果共纳入43项研究,3499例达到SVR/RVR的患者和4308例无应答者。在所有HCV基因型的隐性模型中,IL28B rs12979860、rs8099917和rs12980275的CC、TT和AA基因型分别与SVR相关:rs12979860, OR = 3.18 [95% CI (2.66, 3.79)];P & lt;0.0001;rs8099917, OR = 3.6 ' 9 [95% CI (2.74, 4.97)];P & lt;0.0001;rs12980275, OR = 2.97 [95% CI (2.26, 3.89)];P & lt;0.0001. rs12979860 CC基因型与RVR也存在显著相关性:OR = 2.31 [95% CI (1.54, 3.57)];P & lt;0.0001. HCV基因型的分层分析显示,HCV-1、HCV-1/4和HCV-4与rs12979860 CC基因型的关联趋势相似,但HCV-2/3和HCV-3与rs12979860 CC基因型无相关性。结论meta分析显示,il - 28b rs12979860、rs8099917和rs12980275基因型CC、TT和AA基因型分别是SVR的强预测因子,rs12979860基因型CC基因型在pegif - rbv治疗的HCV-HIV合并感染患者中具有显著的RVR预测价值。
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来源期刊
Meta Gene
Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍: Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.
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