Longitudinal microarray analysis of cell surface antigens on peripheral blood mononuclear cells from HIV+ individuals on highly active antiretroviral therapy.

Longitudinal microarray analysis of cell surface antigens on peripheral blood mononuclear cells from HIV+ individuals on highly active antiretroviral therapy.
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DOI:
10.1186/1742-4690-5-24
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发表时间:
2008-03-04
期刊:
影响因子:
3.3
通讯作者:
Saksena, Nitin K.
Saksena, Nitin K.
中科院分区:
医学2区
文献类型:
--
作者:
Wu, Jing Qin;Dyer, Wayne B.;Chrisp, Jeremy;Belov, Larissa;Wang, Bin;Saksena, Nitin K.

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通过同时监测100多个细胞表面抗原来确定高效抗逆转录病毒疗法(HAART)的有效性尚未得到尝试。我们使用抗体微阵列分析了接受HAART的HIV+患者外周血单个核细胞上135种不同细胞表面抗原表达的变化。选择两组,一组(n=6)通过维持低于可检测的血浆病毒血症而获得持续应答,另一组(n=6)间歇性应答。采血时间平均3年,选择5~8个时间点进行基因芯片检测和统计分析。7种细胞表面抗原(CD2、CD3epsilon、CD5、CD95、CD36、CD27和CD28)在联合组中的表达随时间变化有显著趋势。CD11a、CD29、CD38、CD45RO、CD52、CD56、CD57、CD62E、CD64和CD33等10种细胞表面抗原的表达水平在不同组间存在差异。CD9、CD11a、CD27、CD28、CD52、CD44、CD49d、CD49e、CD11c的表达水平分别与CD4+、CD8+T细胞计数呈正相关。我们的发现不仅检测到在评估HAART疗效方面可能具有潜在预后/诊断价值的标志物,而且还显示了如何以阵列的方式有效地利用细胞表面抗原密度与HAART和HIV感染相关。本研究中确定的抗原应通过其他方法进一步研究,如流式细胞术进行确认,因为对这些抗原的生物学分析可能有助于进一步阐明它们在HAART和HIV感染中的作用。
The efficacy of highly active antiretroviral therapy (HAART) determined by simultaneous monitoring over 100 cell-surface antigens overtime has not been attempted. We used an antibody microarray to analyze changes in the expression of 135 different cell-surface antigens overtime on PBMC from HIV+ patients on HAART. Two groups were chosen, one (n = 6) achieved sustainable response by maintaining below detectable plasma viremia and the other (n = 6) responded intermittently. Blood samples were collected over an average of 3 years and 5–8 time points were selected for microarray assay and statistical analysis. Significant trends over time were observed for the expression of 7 cell surface antigens (CD2, CD3epsilon, CD5, CD95, CD36, CD27 and CD28) for combined patient groups. Between groups, expression levels of 10 cell surface antigens (CD11a, CD29, CD38, CD45RO, CD52, CD56, CD57, CD62E, CD64 and CD33) were found to be differential. Expression levels of CD9, CD11a, CD27, CD28 and CD52, CD44, CD49d, CD49e, CD11c strongly correlated with CD4+ and CD8+ T cell counts, respectively. Our findings not only detected markers that may have potential prognostic/diagnostic values in evaluating HAART efficacy, but also showed how density of cell surface antigens could be efficiently exploited in an array-like manner in relation to HAART and HIV-infection. The antigens identified in this study should be further investigated by other methods such as flow cytometry for confirmation as biological analysis of these antigens may help further clarify their role during HAART and HIV infection.
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