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Association of HIV clinical disease progression with profiles of early immune activation: results from a cluster analysis approach

机译:艾滋病毒临床疾病进展与早期免疫激活谱的进展:群体分析方法的结果

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Objective: CD4 and CD8 T-cell activation are independent predictors of AIDS. The complete activation profile of both T-cell subtypes and their predictive value for AIDS risk is largely unknown.Design: A total of 564 AIDS-free women in the Women's Interagency HIV Study were followed over 6.1 years (median) after T-cell activation assessment. A cluster analysis approach was used to evaluate the concurrent activation patterns of CD4 and CD8 T cells at the beginning of follow-up in relation to AIDS progression.Methods: Percentages of CD4 and CD8 T cells with HLA-DR± and CD38± were assessed by flowcytometry. Eight immunologic variables (four on each CD4~+ and CD8~+: DR± and CD38±) were assessed to yield a 4-cluster solution on samples obtained before clinical endpoints. Proportional hazards survival regression estimated relative risks for AIDS progression by cluster membership.Results: Compared with the other three clusters, outstanding activation features of each distinct cluster of women were: Cluster 1: higher CD8~+CD38~-DR~- (average = 41% of total CD8 T-cell pool), CD4~+CD38~+DR~- (average = 53% of total CD4 T-cell pool), and CD8~+CD38~+DR~+ (28%); Cluster 2: higher CD8~+CD38~+DR~+ (44%) and CD4~+CD38~+DR~- (58%); Cluster 3: higher CD8~+CD38~+DR~+ (49%) and CD4~+ CD38~+DR~+ (48%); Cluster 4: higher CD8~+CD38~+DR~+ (49%), CD4~+CD38~+DR~+ (36%) and CD4~+CD38~+DR~+ (19%). Compared with cluster 1, women in cluster 4 had twofold increased risk of AIDS progression (Hazard ratio = 2.13; 95% confidence interval = 1.30-3.50) adjusted for CD4 cell count, HIV RNA, and other confounders.Conclusion: A profile including CD4 and CD8 T-cell activation provided insight into HIV pathogenesis indicating concurrent hyperactivation of CD4 and CD8 T cells is associated with AIDS progression.
机译:目的:CD4和CD8 T细胞活化是艾滋病的独立预测因子。 T细胞亚型的完整激活概况及其对艾滋病风险的预测价值在很大程度上是未知的。妇女的间度核心研究中共有564名艾滋病免疫研究总共6.1岁(中位数)评估。聚类分析方法用于评估与艾滋病进展相关的后续随访的CD4和CD8 T细胞的并发激活模式。方法:评估CD4和CD38±与HLA-DR±和CD38±CD8 T细胞的百分比通过流动测定法。评估八种免疫变量(每次CD4〜+和CD8〜+:DR±和CD38±)中的4个免疫变量,得到4-簇溶液对临床终点之前获得的样品。比例危害生存回归估计艾滋病进展的艾滋病通过集群成员估计的相对风险。结果:与其他三个集群相比,每个不同女性群体的未突出的激活特征是:群集1:更高的CD8〜+ CD38〜-DR〜 - (平均= 41%的CD8 T细胞池),CD4〜+ CD38〜+ DR〜 - (平均=总CD4 T细胞池的53%),CD8〜+ CD38〜+ DR〜+(28%);群集2:更高的CD8〜+ CD38〜+ DR〜+(44%)和CD4〜+ CD38〜+ DR〜 - (58%);群3:更高的CD8〜+ CD38〜+ DR〜+(49%)和CD4〜+ CD38〜+ DR〜+(48%);集群4:更高的CD8〜+ CD38〜+ DR〜+(49%),CD4〜+ CD38〜+ DR〜+(36%)和CD4〜+ CD38〜+ DR〜+(19%)。与集群1相比,群体4中的女性具有双重艾滋病进展的风险(危险比= 2.13; 95%置信区间= 1.30-3.50)调整CD4细胞计数,HIV RNA等混淆。结论:包括CD4的简档和CD8 T细胞活化提供了对艾滋病毒发病机制的洞察,表明CD4的并发血管活化,CD8 T细胞与艾滋病进展相关。

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