Multiplex Droplet Digital PCR Assay for Quantification of Human T-Cell Leukemia Virus Type 1 Subtype c DNA Proviral Load and T Cells from Blood and Respiratory Exudates Sampled in a Remote Setting

多重滴式数字 PCR 检测远程环境中采集的血液和呼吸道渗出液中人类 T 细胞白血病病毒 1 型 c 亚型 DNA 前病毒载量和 T 细胞

阅读:5
作者:David Yurick, Georges Khoury, Bridie Clemens, Liyen Loh, Hai Pham, Katherine Kedzierska, Lloyd Einsiedel, Damian Purcell

Abstract

During human T-cell leukemia virus type 1 (HTLV-1) infection, the frequency of cells harboring an integrated copy of viral cDNA, the proviral load (PVL), is the main risk factor for progression of HTLV-1-associated diseases. Accurate quantification of provirus by droplet digital PCR (ddPCR) is a powerful diagnostic tool with emerging uses for monitoring viral expression. Current ddPCR techniques quantify HTLV-1 PVL in terms of whole genomic cellular material, while the main targets of HTLV-1 infection are CD4+ and CD8+ T cells. Our understanding of HTLV-1 proliferation and the amount of viral burden present in different compartments is limited. Recently a sensitive ddPCR assay was applied to quantifying T cells by measuring loss of germ line T-cell receptor genes as method of distinguishing non-T-cell from recombined T-cell DNA. In this study, we demonstrated and validated novel applications of the duplex ddPCR assay to quantify T cells from various sources of human genomic DNA (gDNA) extracted from frozen material (peripheral blood mononuclear cells [PBMCs], bronchoalveolar lavage fluid, and induced sputum) from a cohort of remote Indigenous Australians and then compared the T-cell measurements by ddPCR to the prevailing standard method of flow cytometry. The HTLV-1 subtype c (HTLV-1c) PVL was then calculated in terms of extracted T-cell gDNA from various compartments. Because HTLV-1c preferentially infects CD4+ T cells, and the amount of viral burden correlates with HTLV-1c disease pathogenesis, application of this ddPCR assay to accurately measure HTLV-1c-infected T cells can be of greater importance for clinical diagnostics and prognostics as well as monitoring therapeutic applications.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。