Evidence map›Paper›PMID 25157501›Full record

ArticlePloS one2014

Development, validation and clinical evaluation of a low cost in-house HIV-1 drug resistance genotyping assay for Indian patients.

Arpan Acharya, Salil Vaniawala, Parth Shah, Rabindra Nath Misra, Minal Wani, Pratap N Mukhopadhyaya

Abstract readValidation Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Arpan AcharyaDepartment of Molecular Biology, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Salil VaniawalaDepartment of Molecular Diagnostics, SN Genelab, Surat, Gujarat, India.
Parth ShahDepartment of Molecular Diagnostics, Supratech Micropath Laboratory & Research Institute, Ahmedabad, Gujarat, India.
Rabindra Nath MisraDepartment of Microbiology, Padmashree Dr. D. Y. Patil Medical College & Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Minal WaniDepartment of Molecular Biology, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Pratap N MukhopadhyayaDepartment of Microbiology, Interdisciplinary Science, Technology and Research Academy, AISC, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Immunodeficiency Virus-1 (HIV-1) drug resistance genotyping assay is a part of clinical management of HIV-1 positive individuals under treatment with highly active antiretroviral therapy (HAART). Routine monitoring of drug resistance mutations in resource limited settings like India is not possible due to high cost of commercial drug resistance assays. In this study we developed an in-house, cost effective HIV-1 drug resistance genotyping assay for Indian patients and validated it against the US-FDA-approved ViroSeq HIV-1 drug resistance testing system. A reference panel of 20 clinical samples was used to develop and validate the assay against ViroSeq HIV-1 drug resistance testing system which was subsequently used to genotype a clinical panel of 225 samples. The Stanford HIV database was used to identify drug resistant mutations. The analytical sensitivity of the assay was 1000 HIV-1 RNA copies/ml of plasma sample while precision and reproducibility was 99.68 ± 0.16% and 99.76 ± 0.18% respectively. One hundred and one drug resistant mutations were detected by the in-house assay compared to 104 by ViroSeq system in the reference panel. The assay had 91.55% success rate in genotyping the clinical panel samples and was able to detect drug resistant mutations related to nucleoside reverse transcriptase inhibitor (NRTI), non-nucleoside reverse-transcriptase inhibitor (NNRTI) as well as protease inhibitor (PI) classes of antiretroviral drugs. It was found to be around 71.9% more cost effective compared to ViroSeq genotyping system. This evaluation of the assay on the clinical panel demonstrates its potential for monitoring clinical HIV-1 drug resistance mutations and population-based surveillance in resource limited settings like India.

Indexed as

AdultAnti-HIV AgentsCost-Benefit AnalysisDNA Mutational AnalysisDrug Resistance, ViralFemaleGenotyping TechniquesHIV-1HIV InfectionsHumansIndiaMalePhylogenyReproducibility of ResultsRNA, ViralSensitivity and SpecificityAnti-HIV AgentsRNA, Viral

Identifiers

PMID25157501
PMCPMC4144911

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