Evidence map›Paper›PMID 37182384›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2023

Full-spectrum HIV drug resistance mutation detection by high-resolution complete pol gene sequencing.

Gina Faraci, Sung Yong Park, Michael P Dubé, Ha Youn Lee

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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  9. Portable Nanopore sequencing solution for next-generation HIV drug resistance testing.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
    Article
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

4 authors at 1 institution in 1 country.

Gina FaraciDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, Unites States.
Sung Yong ParkDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, Unites States.
Michael P DubéDepartment of Medicine and Division of Infectious Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Ha Youn LeeDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, Unites States. Electronic address: hayoun@usc.edu.
University of Southern California · US

Funding

HIV Incidence Assay via Deep Sequencing and Statistical TestsR01AI095066 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEE, HA YOUN · 2011 to 2025
$8.4M
NIAID NIH HHS R01 AI095066
6 · The paper itself

Abstract

backgroundDrug resistance mutation testing is a key element for HIV clinical management, informing effective treatment regimens. However, resistance screening in current clinical practice is limited in reporting linked cross-class resistance mutations and minority variants, both of which may increase the risk of virological failure.

methodsTo address these limitations, we obtained 358 full-length pol gene sequences from 52 specimens of 20 HIV infected individuals by combining microdroplet amplification, unique molecular identifier (UMI) labeling, and long-read high-throughput sequencing.

resultsWe conducted a rigorous assessment of the accuracy of our pipeline for precision drug resistance mutation detection, verifying that a sequencing depth of 35 high-throughput reads achieved complete, error-free pol gene sequencing. We detected 26 distinct drug resistance mutations to Protease Inhibitors (PIs), Nucleoside Reverse Transcriptase Inhibitors (NRTIs), Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs), and Integrase Strand Transfer Inhibitors (INSTIs). We detected linked cross-class drug resistance mutations (PI+NRTI, PI+NNRTI, and NRTI+NNRTI) that confer cross-resistance to multiple drugs in different classes. Fourteen different types of minority mutations were also detected with frequencies ranging from 3.2% to 19%, and the presence of these mutations was verified by Sanger reference sequencing. We detected a putative transmitted drug resistance mutation (TDRM) in one individual that persisted for over seven months from the first sample collected at the acute stage of infection prior to seroconversion.

conclusionsOur comprehensive drug resistance mutation profiling can advance clinical practice by reporting mutation linkage and minority variants to better guide antiretroviral therapy options.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsDrug Resistance, ViralGenes, polGenotypeHumansMutationReverse Transcriptase InhibitorsAnti-HIV AgentsReverse Transcriptase InhibitorsCross-resistanceDrug resistance mutationsHIVMinority variants

Identifiers

PMID37182384
PMCPMC10330399
OpenAlexW4372342742

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.