Evidence map›Paper›PMID 38219684›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2024

Portable Nanopore sequencing solution for next-generation HIV drug resistance testing.

Sung Yong Park, Gina Faraci, Kevin Ganesh, 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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Sung Yong ParkDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Gina FaraciDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Kevin GaneshLos Angeles General Medical Center, Los Angeles, CA, United States; Department of Medicine and Division of Infectious Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, United 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, United States. Electronic address: hayoun@usc.edu.
University of Southern California · US

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI DENNY, THOMAS · 2006 to 2011
$290.5M
Viral and Host Determinants of HIV-1 TransmissionU01AI067854 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F · 2005 to 2005
$14.9M
HIV Incidence Assay via Deep Sequencing and Statistical TestsR01AI095066 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEE, HA YOUN · 2011 to 2025
$8.4M
Acquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311k
NIAID NIH HHS R01 AI095066NIAID NIH HHS U01 AI067854NIAID NIH HHS U19 AI067854NIH HHS S10 OD010786
6 · The paper itself

Abstract

backgroundTackling HIV drug resistance is one of major challenges for ending AIDS epidemic, but the elevated expense of cutting-edge genomics hampers the advancement of HIV genotype testing for clinical care.

methodsWe developed a HIV genotype testing pipeline that centers on a cost-efficient portable Nanopore sequencer. Accuracy verification was conducted through comparison with parallel data obtained via fixed-site Pacbio sequencing. Our complete pol-gene sequencing strategy coupled with portable high-throughput sequencing was applied to identify drug resistance mutations across 58 samples sourced from the ART-treated Los Angeles General Medical Center Rand Schrader Clinic (LARSC) cohort (7 samples from 7 individuals) and the ART-naïve Center for HIV/AIDS Vaccine Immunology (CHAVI) cohort (51 samples from 38 individuals).

resultsA total of 472 HIV consensus sequences, each tagged with a unique molecular identifier, were produced from over 1.4 million bases acquired through portable Nanopore sequencing, which matched those obtained independently via Pacbio sequencing. With this desirable accuracy, we first documented the linkage of multidrug cross-resistance mutations across Integrase Strand Transfer inhibitors (INSTIs) and Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) from an individual failing a second-generation INSTI regimen. By producing more than 500 full-length HIV pol gene sequences in a single portable sequencing run, we detected Protease Inhibitor (PI), Nucleoside Reverse Transcriptase Inhibitor (NRTI), NNRTI and INSTI resistance mutations. All drug resistance mutations identified through portable sequencing were cross-validated using fixed-site Pacbio sequencing.

conclusionsOur accurate and affordable HIV drug resistance testing solution is adaptable for both individual patient care and large-scale surveillance initiatives.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsHIV IntegraseHIV Integrase InhibitorsNanopore SequencingDrug ResistanceDrug Resistance, ViralGenotypeHumansMutationReverse Transcriptase InhibitorsAnti-HIV AgentsHIV IntegraseHIV Integrase InhibitorsReverse Transcriptase InhibitorsCross-linked drug resistance mutationsHIV drug resistancePortable Nanopore sequencing

Identifiers

PMID38219684
PMCPMC10947882
OpenAlexW4390767957

What OpenQuestion holds

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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.