首页> 外文学位 >Associations of T-cell phenotypes with persistent oral thrush at CD4 positive cell counts greater than 500 per cubic millimeter and their interactions with progression of HIV disease (Immune deficiency).
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Associations of T-cell phenotypes with persistent oral thrush at CD4 positive cell counts greater than 500 per cubic millimeter and their interactions with progression of HIV disease (Immune deficiency).

机译:T细胞表型与持续口鹅口疮在CD4阳性细胞数上的关联大于每立方毫米500,以及它们与HIV疾病进展(免疫缺陷)的相互作用。

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摘要

Objectives. The study had two aims: (1) to determine whether specific T-cell phenotypes associated with function, activation and maturity were associated with persistent oral thrush in HIV-infected men with high (>500/mm3) CD4+ cell counts, and (2) to determine how much of the documented association between oral thrush and HIV disease progression could be explained by these T-cell phenotypes.; Setting. Nested case-control study (Aim 1) and nested prospective study (Aim 2) within an ongoing cohort of HIV-1 positive gay men in Baltimore, MD, Pittsburgh, PA, Chicago, IL, and Los Angeles, CA.; Methods. We evaluated percent expression of T-cell phenotypes in HIV-1+ men categorized by oral thrush status (with/without) and high (>500/mm 3) CD4+ cell count. Markers evaluated include CD28 (T-cell function), CD38 (T-cell activation), HLA-DR (T-cell activation), and CD45RO/RA (T-cell maturity). Risk of oral thrush was analyzed using matched pairs analysis and multivariate regression models. We compared time to PCP, AIDS and death by oral thrush status, T-cell phenotype and HIV RNA using survival analysis and multivariate models (Cox proportional hazards) to determine the extent phenotypes and viral load explained different rates of progression.; Results. In univariate analyses (case-control), increased CD4+DR+38+ (OR = 1.09, p = 0.033) and decreased CD4+DR−38− (OR = 0.963, p = 0.042) were associated with oral thrush; and HIV RNA was marginally associated with oral thrush (OR = 1.65, p = 0.059). Smoking one year prior was associated with oral thrush (OR = 1.60, 95% CI = 0.69–3.78). In multivariate analyses both phenotypes remain associated with oral thrush (OR = 1.09, p = 0.060 for CD4+DR+38+ and OR = 0.93, p = 0.020 for CD4+DR−38−) after adjustment for HIV-1 RNA, prior CD4+ cell count and smoking one year prior.; Prospective analysis of association between exposures (T-cell phenotypes, HIV RNA and oral thrush) and outcomes (time to PCP, AIDS and death) found cases progressed to AIDS and death faster than controls (RH = 1.74, p = 0.070 for AIDS; and RH = 1.87, p = 0.083 for death). Higher HIV RNA was strongly associated with progression to first PCP (RH = 3.19, p = 0.006), AIDS (RH = 3.24, p 0.001) and death (RH = 3.14, p 0.001). Higher CD4+DR+38+ and lower CD4+DR−38− levels were consistently associated with disease progression (RH range = 1.42–3.84). After adjustment by HIV RNA alone and in combination with each phenotype, the association between oral thrush and progression (PCP, AIDS and death) weakened substantially. Adjustment for CD4+DR+38+ alone had no effect on the association. However, adjustment by CD4+DR−38− decreased the association between oral thrush and AIDS or death, but adjustment had little effect on progression to PCP.; Conclusions. Two phenotypes were associated with oral thrush, but only one, CD4+DR−38−, contributed to the explanation of the association between oral thrush and HIV-1 disease progression. HIV-1 viral burden explained a significant part, but not all of the association between oral thrush and disease progression.
机译:目标。该研究有两个目的:(1)确定在高(> 500 / mm 3 )感染HIV的男性中,与功能,激活和成熟相关的特定T细胞表型是否与持续性鹅口疮相关。 CD4 +细胞计数,以及(2)确定这些鹅口疮表型与HIV疾病进展之间有多少相关文献记载可以解释。 设置。在马里兰州巴尔的摩,宾夕法尼亚州匹兹堡,伊利诺伊州芝加哥和加利福尼亚州洛杉矶的一个正在进行的HIV-1阳性同性恋者队列中,进行了病例对照研究(目的1)和前瞻性研究(目的2); 方法。我们评估了按口鹅口疮状态(有/无)和高(> 500 / mm 3 )CD4 +细胞计数分类的HIV-1 +男性中T细胞表型的表达百分比。评估的标志物包括CD28(T细胞功能),CD38(T细胞活化),HLA-DR(T细胞活化)和CD45RO / RA(T细胞成熟度)。使用匹配对分析和多元回归模型分析了鹅口疮的风险。我们使用生存分析和多变量模型(Cox比例风险)通过口服鹅口疮状态,T细胞表型和HIV RNA比较PCP,AIDS和死亡的时间,以确定表型和病毒载量解释不同进展率的程度。 结果。在单变量分析中(病例对照),CD4 + DR + 38 +增加(OR = 1.09,p = 0.033)和CD4 + DR-38-减少(OR = 0.963,p = 0.042)与口腔鹅口疮相关。 HIV RNA与鹅口疮略有相关(OR = 1.65,p = 0.059)。一年前吸烟与鹅口疮相关(OR = 1.60,95%CI = 0.69–3.78)。在多变量分析中,在对HIV-1 RNA进行校正后,这两种表型仍与口腔鹅口疮相关(OR = 1.09,对于CD4 + DR + 38 +,p = 0.060; OR = 0.93,对于CD4 + DR-38-,p = 0.020),之前CD4 +细胞计数和一年前吸烟。对暴露(T细胞表型,HIV RNA和口腔鹅口疮)与结果(PCP,艾滋病和死亡时间)之间的关联进行前瞻性分析,发现罹患艾滋病和死亡的病例比对照组快(RH = 1.74,p = 0.070);并且RH = 1.87,对于死亡,p = 0.083)。较高的HIV RNA与第一个PCP的进展(RH = 3.19,p = 0.006),AIDS(RH = 3.24,p <0.001)和死亡(RH = 3.14,p <0.001)密切相关。较高的CD4 + DR + 38 +和较低的CD4 + DR-38-水平与疾病进展一致(RH范围= 1.42–3.84)。单独通过HIV RNA调整并结合每种表型进行调整后,口腔鹅口疮与疾病进展(PCP,AIDS和死亡)之间的关联大大减弱。单独调整CD4 + DR + 38 +对关联没有影响。然而,通过CD4 + DR-38-的调节减少了鹅口疮和AI​​DS或死亡之间的联系,但是调节对PCP进展的影响很小。 结论。鹅口疮有两种表型,但只有一种CD4 + DR-38-有助于解释鹅口疮与HIV-1疾病进展之间的关系。 HIV-1病毒负担解释了很大一部分,但并不是鹅口疮和疾病进展之间的所有联系。

著录项

  • 作者

    Foster, Virginia Brown.;

  • 作者单位

    The Johns Hopkins University.;

  • 授予单位 The Johns Hopkins University.;
  • 学科 Health Sciences Public Health.; Health Sciences Immunology.; Statistics.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;预防医学、卫生学;统计学;
  • 关键词

  • 入库时间 2022-08-17 11:46:46

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