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Second-generation line probe assay for hepatitis C virus genotyping.

ABSTRACT: Because of the enormous variability of hepatitis C virus (HCV), the development of reliable genotyping assays is a formidable challenge. The optimal genotyping region appears to be the 5' untranslated region (UR) because of high conservation within, but considerable variability between, genotypes. In this study, 21 probes dispersed over seven variable 5' UR areas were applied to a line probe assay (LiPA) and used to analyze 506 HCV-infected sera from different geographical regions representing a multitude of subtypes. At least 31 different reactivity patterns emerged, with 404 (80%) of 506 distributed over 11 prototype patterns, in general corresponding to subtypes 1a, 1b, 2a/2c, 2b, 3a, 5a, and 6a and several type 4 subtypes. Subtyping specificity ranged from 97% in Hong Kong to 90% in Europe but was only 11% in West Africa, while typing specificity was always 100% when samples from Vietnam were excluded. In a second evaluation, the subtype prediction by LiPA of 448 GenBank 5' UR HCV sequences was scored. Of the 58 theoretically predicted patterns, 321 sequences (72%) were covered by the 11 prototype patterns. We concluded that (i) the selected probes detected the corresponding signature motifs in the seven variable regions with 100% reliability; (ii) these motifs allowed correct type interpretation of samples collected worldwide, with the exclusion of Vietnam, Thailand, or Vietnamese patients residing in European hospitals; and (iii) subtyping specificities vary according to geographical region, with 11 prototype subtyping patterns identifying the majority of samples from Europe and the Americas. These results indicate that the LiPA is a reliable assay applicable to routine typing and subtyping of HCV specimens.

SUBMITTER: Stuyver L

PROVIDER: S-EPMC229228 | biostudies-other | 1996 Sep

REPOSITORIES: biostudies-other

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Second-generation line probe assay for hepatitis C virus genotyping.

Stuyver L L Wyseur A A van Arnhem W W Hernandez F F Maertens G G

Journal of clinical microbiology 19960901 9

Because of the enormous variability of hepatitis C virus (HCV), the development of reliable genotyping assays is a formidable challenge. The optimal genotyping region appears to be the 5' untranslated region (UR) because of high conservation within, but considerable variability between, genotypes. In this study, 21 probes dispersed over seven variable 5' UR areas were applied to a line probe assay (LiPA) and used to analyze 506 HCV-infected sera from different geographical regions representing a ...[more]

PMID: 8862595

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Project description:ContextHepatitis C virus (HCV) genotyping at our institution is performed using the Versant HCV genotype 2.0 Line Probe Assay (LiPA). The last steps of this procedure are manual, laborious, and error-prone process that involves the comparison of the banding pattern on a test strip to a physical reference table.AimWe developed a web-based HCV genotype interpretation platform that utilizes a scanned image to generate the genotypes, thus minimizing interpretation time and reducing error.Subjects and methodsHCV Genie 2 utilizes a database of banding patterns in conjuncture with image analysis algorithms to determine the genotype for any number of scanned LiPA strips. HCV Genie 2 is built with client-side JavaScript; allowing the program to run in the user' browser rather than on an unknown server, essentially eliminating data and patient privacy concerns.ResultsHCV Genie 2 was tested over 2 months and proved identical to human expert interpretation for 148 samples (>1000 bands identified). Manual intervention was required only for two faint bands and one false-positive band; this was done utilizing the built-in-user interface. Utilizing the original method, the trained laboratory technician interpretation time for 16 samples was 13.8 (±0.96) min as compared to 5.0 (±1.09) min with HCV Genie 2, a 63.8% decrease. In addition to the time savings, the new method provides an additional validation step, which decreases the potential for errors.ConclusionsOur institution has moved exclusively to utilize the new techniques and tools described here. Both experienced technicians and the molecular pathologists at our institution prefer the workflow using HCV Genie. It is easier for the technicians to prepare and document, and the pathologists are more rapidly able to review and confirm results. The use of this tool will lead to increase the quality of patient care delivered through this test methodology by decreasing the potential for error. The algorithms developed here can be ported to similar band identification platforms, most directly to other LiPAs.

Project description:Evaluation of drug resistance by human immunodeficiency virus (HIV) genotyping has proven to be useful for the selection of drug combinations with maximum antiretroviral activity. We compared three genotyping methods for identification of mutations known to confer drug resistance in the reverse transcriptase (RT) and protease genes of HIV type 1 (HIV-1). The HIV-GenotypR method (GenotypR; Specialty Laboratories, Inc., Santa Monica, Calif.) with the ABI 377 DNA sequencer (Applied Biosystems Inc.), the HIV PRT GeneChip assay (GeneChip; Affymetrix, Santa Clara, Calif.), and the HIV-1 RT Line Probe Assay (LiPA; Innogenetics, Alpharetta, Ga.) were used to genotype plasma samples from HIV-infected patients attending the University of Wisconsin Hospitals and Clinics and the Mayo Clinic. At the time of analysis, patients were failing combination therapy (n = 18) or were treatment naive (n = 6). Forty codons of the RT and protease genes were analyzed by GenotypR and GeneChip for resistance-associated mutations. LiPA analyzed seven RT codons for mutations. Each sample was genotyped by all three assays, and each assay was subjected to pairwise comparisons. At least 92% of the codons tested (by the three assays) in paired comparisons were concordant. GenotypR and GeneChip demonstrated 96.6% concordance over the 40 codons tested. GenotypR identified slightly more mutations than GeneChip and LiPA; GeneChip identified all primary mutations that corresponded to failing treatment regimens. Each assay identified at least 84% of the mutations identified by the other assays. Mutations that were discordant between the assays mainly comprised secondary mutations and natural polymorphisms. The assays had better concordance for mutations that corresponded to current failing regimens, present in the more predominant viral quasispecies. In the treatment-naive patients, GenotypR, GeneChip, and LiPA mainly identified wild-type virus. Only the LiPA identified K70R, a possible transmitted zidovudine resistance mutation, in the RT gene of a treatment-naive patient. We conclude that although discrepancies in results exist between assays, each assay showed a similar capacity to identify potentially clinically relevant mutations related to patient treatment regimens.

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Second-generation line probe assay for hepatitis C virus genotyping.

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Second-generation line probe assay for hepatitis C virus genotyping.

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