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

被引:28
|
作者
Karim, Roksana [1 ,2 ]
Mack, Wendy J. [2 ]
Stiller, Tracey [3 ]
Operskalski, Eva [1 ]
Frederick, Toni [1 ]
Landay, Alan [4 ]
Young, Mary A. [5 ]
Tien, Phyllis C. [6 ,7 ]
Augenbraun, Mike [8 ]
Strickler, Howard D. [9 ]
Kovacs, Andrea [1 ]
机构
[1] Univ So Calif, Keck Sch Med, Ctr Infect Dis & Virol, Dept Pediat Maternal Child & Adolescent, Los Angeles, CA 90033 USA
[2] Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
[3] City Hope Natl Med Ctr, Dept Biostat, Duarte, CA 91010 USA
[4] Rush Univ, Dept Immunol Microbiol, Med Ctr, Chicago, IL 60612 USA
[5] Georgetown Univ, Div Infect Dis, Washington, DC USA
[6] Univ Calif San Francisco, Dept Med, San Francisco, CA USA
[7] Vet Affair Med Ctr, San Francisco, CA USA
[8] SUNY Downstate Coll Med, Dept Med, Brooklyn, NY USA
[9] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10467 USA
关键词
AIDS; cluster analysis; immune activation; IMMUNODEFICIENCY-VIRUS TYPE-1; T-CELL-ACTIVATION; ACTIVE ANTIRETROVIRAL THERAPY; CD38; ANTIGEN-EXPRESSION; LYMPHOCYTE-ACTIVATION; INFECTED PATIENTS; I INFECTION; HLA-DR; CD4(+); CD8(+);
D O I
10.1097/QAD.0b013e3283601bad
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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 two-fold 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. (C) 2013 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
引用
收藏
页码:1473 / 1481
页数:9
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