| Literature DB >> 28877177 |
Darragh Duffy1,2,3, Estelle Mottez3,4, Shaun Ainsworth5, Tan-Phuc Buivan3,4,6, Aurelie Baudin6, Muriel Vray7,8,9, Ben Reed5, Arnaud Fontanet7,8, Alexandra Rohel10, Ventzislava Petrov-Sanchez10, Laurent Abel11,12,13, Ioannis Theodorou14, Gino Miele5, Stanislas Pol1,2,3,4,6, Matthew L Albert1,2,3,4.
Abstract
Numerous genetic polymorphisms have been identified as associated with disease or treatment outcome, but the routine implementation of genotyping into actionable medical care remains limited. Point-of-care (PoC) technologies enable rapid and real-time treatment decisions, with great potential for extending molecular diagnostic approaches to settings with limited medical infrastructure (e.g., CLIA certified diagnostic laboratories). With respect to resource-limited settings, there is a need for simple devices to implement biomarker guided treatment strategies. One relevant example is chronic hepatitis C infection, for which several treatment options are now approved. Single nucleotide polymorphisms (SNPs) in the IL-28B / IFNL3 locus have been well described to predict both spontaneous clearance and response to interferon based therapies. We utilized the Genedrive® platform to develop an assay for the SNP rs12979860 variants (CC, CT and TT). The assay utilizes a hybrid thermal engine, permitting rapid heating and cooling, enabling an amplification based assay with genetic variants reported using endpoint differential melting cure analysis in less than 60 minutes. We validated this assay using non-invasive buccal swab sampling in a prospective study of 246 chronic HCV patients, achieving 100% sensitivity and 100% specificity (95% exact CI: 98.8-100%)) in 50 minutes as compared to conventional lab based PCR testing. Our results provide proof of concept that precision medicine is feasible in resource-limited settings, offering the first CE-IVD (in vitro diagnostics) validated PoC SNP test. We propose that IL-28B genotyping may be useful for directing patients towards lower cost therapies, and rationing use of costly direct antivirals for use in those individuals showing genetic risk.Entities:
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Year: 2017 PMID: 28877177 PMCID: PMC5587232 DOI: 10.1371/journal.pone.0183084
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient demographics and baseline characteristics.
| Parameters | N = 246 |
|---|---|
| 149 (61%) | |
| Mean +/- SD | 57 +/- 11 |
| Min, Max] (years) | [21, 87] |
| 81 (33%) | |
| 37 (15%) | |
| 69 (28%) | |
| 59 (24%) | |
| Naïve | 108 (44%) |
| Experienced | 117 (48%) |
| Ongoing | 16 (7%) |
| Cured | 5 (2%) |
| 160 (65%) | |
| 14 (6%) | |
| 28 (11%) | |
| 40 (16%) | |
| 3 (1%) | |
| 1 (0%) | |
| CC, n (%) | 76 (31%) |
| CT, n (%) | 134 (54%) |
| TT, n (%) | 36 (15%) |
Fig 1Comparison of Genedrive® and Taqman assays.
(A) Melt Curve Analysis for detection of SNP and template control. (B) Results of Genedrive assay on initial test samples. (C) Results of Taqman assay on initial test samples. (D) Summary of initial Beta test results in run, remelts, and retests prior to and after assay optimization.
Fig 2Clinical study validation of 246 HCV patients.
(A) Workflow and Layout of Assay. (B) Contingency table for sensitivity and specificity to detect CC genotype. (C) Contingency table for sensitivity and specificity to discriminate CC, CT, and TT genotypes.
Summary of clinical test results in runs, remelts, and retests.
| Test results | N = 246 |
|---|---|
| Run, n (%) | 239 (97%) |
| Remelt, n (%) | 3 (1%) |
| Retest n (%) | 4 (2%) |