AI Article Synopsis

  • - The study emphasizes the importance of detecting drug resistance mutations (DRMs) in small viral populations, which is crucial for clinical treatment of HIV-1.
  • - A new analysis tool called MiDRM was developed to quantify DRMs by sequencing the gag-vpu region from plasma samples, overcoming the limitations of current diagnostic labs lacking advanced computational resources.
  • - Validation of MiDRM showed it can reliably detect minor mutations in HIV-1 populations (under 20%), offering a more efficient method for large-scale monitoring of drug resistance compared to existing tools like PASeq.

Article Abstract

The detection of drug resistance mutations (DRMs) in minor viral populations is of potential clinical importance. However, sophisticated computational infrastructure and competence for analysis of high-throughput sequencing (HTS) data lack at most diagnostic laboratories. Thus, we have proposed a new pipeline, MiDRM, to quantify DRM from the HIV-1 region. The gag-vpu region of 87 plasma samples from HIV-infected individuals from three cohorts was amplified and sequenced by Illumina HiSeq2500. The sequence reads were adapter-trimmed, followed by analysis using in-house scripts. Samples from Swedish and Ethiopian cohorts were also sequenced by Sanger sequencing. The pipeline was validated against the online tool PASeq (Polymorphism Analysis by Sequencing). Based on an error rate of <1%, a value of >1% was set as reliable to consider a minor variant. Both pipelines detected the mutations in the dominant viral populations, while discrepancies were observed in minor viral populations. In five HIV-1 subtype C samples, minor mutations were detected at the <5% level by MiDRM but not by PASeq. MiDRM is a computationally as well as labor efficient bioinformatics pipeline for the detection of DRM from HTS data. It identifies minor viral populations (<20%) of DRMs. Our method can be incorporated into large-scale surveillance of HIV-1 DRM.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784143PMC
http://dx.doi.org/10.3390/v11090806DOI Listing

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