Literature DB >> 25313501

Antiviral resistance testing.

Erasmus Smit1.   

Abstract

PURPOSE OF REVIEW: Current genotypic resistance tests fail to amplify drug-resistant minority variants when they are present below 20% of the total virus population. Next-generation sequencing (NGS) addresses this issue and is being introduced into diagnostic laboratories. This review gives an overview of the resistance tests currently used and explores the opportunities and challenges that NGS genotypic resistance tests will bring. RECENT
FINDINGS: The technical challenges of NGS, such as PCR and sequence-related errors, are being addressed and various assays are currently undergoing technical validation for clinical use. Although not conclusive, the data seem to suggest that NGS will be valuable for low genetic barrier drugs and certain types of tests such as the HIV-1 tropism test. Clinical validation of the reporting and interpretation of minority variant results are essential when laboratories start reporting these results.
SUMMARY: The first wave of NGS technology is being rolled out in diagnostic laboratories. Antiviral test benefits include increased sensitivity and eventually cheaper antiviral resistance tests. There is a risk that low percentage minority variants may be over interpreted. This could result in antiviral drugs, which may have been effective, being possibly denied to patients if proper clinical validation studies are not performed.

Entities:  

Mesh:

Year:  2014        PMID: 25313501     DOI: 10.1097/QCO.0000000000000108

Source DB:  PubMed          Journal:  Curr Opin Infect Dis        ISSN: 0951-7375            Impact factor:   4.915


  4 in total

Review 1.  [Modern diagnosis of sexually transmitted diseases].

Authors:  N H Brockmeyer; T Meyer
Journal:  Hautarzt       Date:  2016-01       Impact factor: 0.751

2.  Long-Range HIV Genotyping Using Viral RNA and Proviral DNA for Analysis of HIV Drug Resistance and HIV Clustering.

Authors:  Vlad Novitsky; Melissa Zahralban-Steele; Mary Fran McLane; Sikhulile Moyo; Erik van Widenfelt; Simani Gaseitsiwe; Joseph Makhema; M Essex
Journal:  J Clin Microbiol       Date:  2015-06-03       Impact factor: 5.948

3.  Quasispecies Analyses of the HIV-1 Near-full-length Genome With Illumina MiSeq.

Authors:  Hirotaka Ode; Masakazu Matsuda; Kazuhiro Matsuoka; Atsuko Hachiya; Junko Hattori; Yumiko Kito; Yoshiyuki Yokomaku; Yasumasa Iwatani; Wataru Sugiura
Journal:  Front Microbiol       Date:  2015-11-12       Impact factor: 5.640

4.  Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2.

Authors:  Dharmeshkumar Patel; Suzane K Ono; Leda Bassit; Kiran Verma; Franck Amblard; Raymond F Schinazi
Journal:  Molecules       Date:  2022-08-24       Impact factor: 4.927

  4 in total

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