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Published in: Journal of NeuroVirology 4/2014

Open Access 01-08-2014

Digital droplet PCR (ddPCR) for the precise quantification of human T-lymphotropic virus 1 proviral loads in peripheral blood and cerebrospinal fluid of HAM/TSP patients and identification of viral mutations

Authors: Giovanna S. Brunetto, Raya Massoud, Emily C. Leibovitch, Breanna Caruso, Kory Johnson, Joan Ohayon, Kaylan Fenton, Irene Cortese, Steven Jacobson

Published in: Journal of NeuroVirology | Issue 4/2014

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Abstract

An elevated human T cell lymphotropic virus 1 (HTLV)-1 proviral load (PVL) is the main risk factor for developing HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) in HTLV-1 infected subjects, and a high cerebrospinal fluid (CSF) to peripheral blood mononuclear cell (PBMC) PVL ratio may be diagnostic of the condition. However, the standard method for quantification of HTLV-1 PVL—real-time PCR—has multiple limitations, including increased inter-assay variability in compartments with low cell numbers, such as CSF. Therefore, in this study, we evaluated a novel technique for HTVL-1 PVL quantification, digital droplet PCR (ddPCR). In ddPCR, PCR samples are partitioned into thousands of nanoliter-sized droplets, amplified on a thermocycler, and queried for fluorescent signal. Due to the high number of independent events (droplets), Poisson algorithms are used to determine absolute copy numbers independently of a standard curve, which enables highly precise quantitation. This assay has low intra-assay variability allowing for reliable PVL measurement in PBMC and CSF compartments of both asymptomatic carriers (AC) and HAM/TSP patients. It is also useful for HTLV-1-related clinical applications, such as longitudinal monitoring of PVL and identification of viral mutations within the region targeted by the primers and probe.
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Metadata
Title
Digital droplet PCR (ddPCR) for the precise quantification of human T-lymphotropic virus 1 proviral loads in peripheral blood and cerebrospinal fluid of HAM/TSP patients and identification of viral mutations
Authors
Giovanna S. Brunetto
Raya Massoud
Emily C. Leibovitch
Breanna Caruso
Kory Johnson
Joan Ohayon
Kaylan Fenton
Irene Cortese
Steven Jacobson
Publication date
01-08-2014
Publisher
Springer US
Published in
Journal of NeuroVirology / Issue 4/2014
Print ISSN: 1355-0284
Electronic ISSN: 1538-2443
DOI
https://doi.org/10.1007/s13365-014-0249-3

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