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病毒嗜性的基因表型分析可作为预测高 CD4 计数的 HIV-1 感染初治患者 CD4 下降的工具。

Viral tropism by geno2pheno as a tool for predicting CD4 decrease in HIV-1-infected naive patients with high CD4 counts.

机构信息

San Raffaele Scientific Institute, Milan, Italy.

出版信息

J Antimicrob Chemother. 2012 May;67(5):1224-7. doi: 10.1093/jac/dkr600. Epub 2012 Jan 31.

DOI:10.1093/jac/dkr600
PMID:22298348
Abstract

OBJECTIVES

To investigate the value of tropism (determined by genotypic testing) to predict CD4 depletion in HIV-infected antiretroviral-naive patients with high CD4 counts.

METHODS

Viral tropism was determined by geno2pheno (false positive rate = 10%) in 223 HIV-infected subjects naive to antiretrovirals with CD4 count ≥350 cells/μL and HIV-RNA >500 copies/mL enrolled in the ICONA Foundation Study for whom a stored plasma sample (baseline) was retrospectively tested. We monitored CD4 cell count and identified predictors of decline before antiretroviral therapy initiation, applying a mixed linear model with covariates (age, gender, tropism, HIV risk factor, calendar year of HIV infection, months from HIV diagnosis to baseline, hepatitis C virus status, CD4 and HIV-RNA at sample collection and duration of follow-up).

RESULTS

Two hundred and twenty-three subjects met the eligibility criteria; 137 (61%) were male and the median age was 35 (31-40) years. Median follow-up was 16.4 (3.2-37.2) months. Median CD4 decrease during follow-up was -157 (-278 to -13) cells/μL. At baseline, 192 (86%) subjects were defined as harbouring R5 virus and 31 (14%) non-R5. Median CD4 count was 571 (458-729) cells/μL and median HIV-RNA was 4.08 (3.57-4.55) log(10) copies/mL. At multivariable analysis, a greater mean CD4 decrease was associated with non-R5 viral tropism (-159.9 ± 12.22, P = 0.0002) at baseline. Other significant covariates were female gender, older age, intravenous drug use, longer duration of follow-up, and higher CD4 cell count and higher HIV-RNA at sample collection.

CONCLUSIONS

In patients with CD4 counts ≥350 cells/μL, non-R5 viral tropism by geno2pheno is predictive of CD4 decrease independent of their viral set point and CD4 counts.

摘要

目的

通过基因分型检测来探究病毒嗜性(即病毒趋向性)对预测 HIV 感染且未接受过抗逆转录病毒治疗、初始 CD4 计数较高(≥350 个/μL)的患者中 CD4 细胞耗竭的价值。

方法

在 ICONA 基金会研究中,对 223 名 HIV 感染且初治、初始 CD4 计数≥350 个/μL 且 HIV-RNA>500 拷贝/mL 的患者进行基因 2 表型(假阳性率为 10%)检测,以确定病毒嗜性,这些患者有储存的血浆样本(基线)进行回顾性检测。我们监测 CD4 细胞计数,并应用包含协变量(年龄、性别、病毒嗜性、HIV 风险因素、HIV 感染的年份、从 HIV 诊断到基线的时间、丙型肝炎病毒状态、样本采集时的 CD4 和 HIV-RNA、随访时间)的混合线性模型,来确定抗逆转录病毒治疗开始前 CD4 细胞计数下降的预测因素。

结果

223 名符合入选标准的患者中,137 名(61%)为男性,中位年龄为 35(31-40)岁。中位随访时间为 16.4(3.2-37.2)个月。中位随访期间 CD4 细胞下降值为-157(-278 至-13)个/μL。基线时,192 名(86%)患者被定义为携带 R5 病毒,31 名(14%)患者携带非 R5 病毒。中位 CD4 计数为 571(458-729)个/μL,中位 HIV-RNA 为 4.08(3.57-4.55)log10 拷贝/mL。多变量分析显示,基线时非 R5 病毒嗜性与平均 CD4 下降值较大相关(-159.9±12.22,P=0.0002)。其他显著的协变量包括女性、年龄较大、静脉吸毒、随访时间较长、样本采集时 CD4 计数较高和 HIV-RNA 较高。

结论

在 CD4 计数≥350 个/μL 的患者中,基因 2 表型检测的非 R5 病毒嗜性可预测 CD4 下降,独立于病毒设定点和 CD4 计数。

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