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| Title: | 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. |
| Authors: | Yurick, David Khoury, Georges Clemens, Bridie Loh, Liyen Pham, Hai Kedzierska, Katherine Einsiedel, Lloyd Purcell, Damian |
| Citation: | Journal of clinical microbiology 2019-02; 57(2) |
| 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. |
| Click to open PubMed article: | https://www.ezpdhcs.nt.gov.au/login?url=https://www.ncbi.nlm.nih.gov/pubmed/30518541 |
| Click to open Pubmed Article: | https://www.ezpdhcs.nt.gov.au/login?url=https://www.ncbi.nlm.nih.gov/pubmed/30518541 |
| Journal title: | Journal of clinical microbiology |
| Publication Date: | 2019-02 |
| Type: | Journal Article |
| URI: | https://hdl.handle.net/10137/7364 |
| DOI: | 10.1128/JCM.01063-18 |
| Appears in Collections: | (a) NT Health Research Collection |
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