Evidence map›Paper›PMID 25533166›Full record

ArticleRetrovirology2014

Cross-clade simultaneous HIV drug resistance genotyping for reverse transcriptase, protease, and integrase inhibitor mutations by Illumina MiSeq.

Dawn M Dudley, Adam L Bailey, Shruti H Mehta, Austin L Hughes, Gregory D Kirk, Ryan P Westergaard, David H O'Connor

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  12. Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019
    Review
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  18. Decoding HIV resistance: from genotype to therapy.Future medicinal chemistry · 2017
    Review
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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

7 authors at 5 institutions in 1 country.

Dawn M DudleyDepartment of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. dmdudley@wisc.edu.
Adam L BaileyDepartment of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. albailey@wisc.edu.
Shruti H MehtaDepartment of Epidemiology, Epidemiology and Oncology, Johns Hopkins University, Baltimore, MD, USA. shmehta@jhsph.edu.
Austin L HughesDepartment of Biology, University of South Carolina, Columbia, South Carolina, USA. austin@biol.sc.edu.
Gregory D KirkDepartments of Medicine, Epidemiology and Oncology, Johns Hopkins University, Baltimore, MD, USA. gkirk@jhsph.edu.
Ryan P WestergaardDepartment of Medicine, Division of Infectious Disease, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. rpw@medicine.wisc.edu.
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. dhoconno@wisc.edu.
University of Wisconsin–Madison · USJohns Hopkins Medicine · USJohns Hopkins University · USUniversity of South Carolina · USWisconsin Division of Public Health · US

Funding

The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
INCIDENCE OF HIV INFECTIONS IN A COHORT OF IV DRUG USERSR01DA012568 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, SHRUTI H · 1999 to 2017
$15.5M
INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
THE NATURAL HISTORY OF HIV INFECTION AMONG DRUG USERSR01DA004334 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 1987 to 2011
$7.6M
Real Time Methods for Quantifying Exposure to Illicit Drugs & Psychosocial StressU01DA023832 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 2007 to 2010
$1.9M
Graduate Training In Cellular And Molecular Pathogenesis Of Human DiseasesT32GM081061 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FABRY, ZSUZSANNA · 2010 to 2019
$1.8M
Barriers to Effective HIV Care for Injection Drug Users After Release from PrisonK23DA032306 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI WESTERGAARD, RYAN PATRICK · 2012 to 2016
$975k
NIDA NIH HHS K23 DA032306NIDA NIH HHS K23DA032306NIDA NIH HHS R01 DA004334NIDA NIH HHS R01 DA012568NIDA NIH HHS R01DA04334NIDA NIH HHS R01DA12568NIDA NIH HHS U01 DA023832NIDA NIH HHS U01DA023832NIDA NIH HHS U01 DA036297NIGMS NIH HHS T32 GM008692NIGMS NIH HHS T32 GM081061
6 · The paper itself

Abstract

backgroundViral resistance to antiretroviral therapy threatens our best methods to control and prevent HIV infection. Current drug resistance genotyping methods are costly, optimized for subtype B virus, and primarily detect resistance mutations to protease and reverse transcriptase inhibitors. With the increasing use of integrase inhibitors in first-line therapies, monitoring for integrase inhibitor drug resistance mutations is a priority. We designed a universal primer pair to PCR amplify all major group M HIV-1 viruses for genotyping using Illumina MiSeq to simultaneously detect drug resistance mutations associated with protease, nucleoside reverse transcriptase, non-nucleoside reverse transcriptase, and integrase inhibitors.

resultsA universal primer pair targeting the HIV pol gene was used to successfully PCR amplify HIV isolates representing subtypes A, B, C, D, CRF01_AE and CRF02_AG. The universal primers were then tested on 62 samples from a US cohort of injection drug users failing treatment after release from prison. 94% of the samples were successfully genotyped for known drug resistance mutations in the protease, reverse transcriptase and integrase gene products. Control experiments demonstrate that mutations present at ≥ 2% frequency are reliably detected and above the threshold of error for this method. New drug resistance mutations not found in the baseline sample were identified in 54% of the patient samples after treatment failure. 86% of patients with major drug resistance mutations had 1 or more mutations associated with drug resistance to the treatment regimen at the time point of treatment failure. 59% of the emerging mutations were found at frequencies between 2% and 20% of the total sequences generated, below the estimated limit of detection of current FDA-approved genotyping techniques. Primary plasma samples with viral loads as low as 799 copies/ml were successfully genotyped using this method.

conclusionsHere we present an Illumina MiSeq-based HIV drug resistance genotyping assay. Our data suggests that this universal assay works across all major group M HIV-1 subtypes and identifies all drug resistance mutations in the pol gene known to confer resistance to protease, reverse transcriptase and integrase inhibitors. This high-throughput and sensitive assay could significantly improve access to drug resistance genotyping worldwide.

Indexed as

Drug Resistance, ViralMutation, MissenseAnti-HIV AgentsDNA PrimersGenotyping TechniquesHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHIV IntegraseHIV ProteaseHIV Reverse TranscriptaseHumansMicrobial Sensitivity TestsPolymerase Chain ReactionSensitivity and SpecificityAnti-HIV AgentsDNA PrimersHIV IntegraseHIV ProteaseHIV Reverse Transcriptase

Identifiers

PMID25533166
PMCPMC4302432
OpenAlexW2148938052

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.