Evidence map›Paper›PMID 36920025›Full record

ArticleeLife2023

Selection of HIV-1 for resistance to fifth-generation protease inhibitors reveals two independent pathways to high-level resistance.

Ean Spielvogel, Sook-Kyung Lee, Shuntai Zhou, Gordon J Lockbaum, Mina Henes, Amy Sondgeroth, Klajdi Kosovrasti, Ellen A Nalivaika, Akbar Ali, Nese Kurt Yilmaz and 2 more

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Article
  5. Review
  6. Review
  7. Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

12 authors.

Ean SpielvogelDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Sook-Kyung LeeLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Shuntai ZhouLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Gordon J LockbaumDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Mina HenesDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Amy SondgerothDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Klajdi KosovrastiDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Ellen A NalivaikaDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Akbar AliDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Nese Kurt YilmazDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.
Celia A SchifferDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, United States.ORCID 0000-0003-2270-6613
Ronald SwanstromLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, United States.ORCID 0000-0001-7777-0773

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Tracking the evolution of drug resistance for highly potent HIV protease inhibitoP01GM109767 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2014 to 2018
$8.0M
HIV Evolution Defines Virus-Host/Drug Interactions In Viremic and Aviremic PeopleR01AI140970 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ronald I Swanstrom, Shuntai Zhou · 2018 to 2026
$4.1M
Integration of Evolution to Avoid Resistance in Structure Based Drug DesignR01GM135919 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2020 to 2023
$2.5M
NCI NIH HHS P30 CA016086NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI140970NIAID NIH HHS R01-AI140970NIGMS NIH HHS 1P01GM109767-01A`NIGMS NIH HHS P01 GM109767NIGMS NIH HHS R01 GM135919NIGMS NIH HHS R01-GM135919
6 · The paper itself

Abstract

Darunavir (DRV) is exceptional among potent HIV-1 protease inhibitors (PIs) in high drug concentrations that are achieved in vivo. Little is known about the de novo resistance pathway for DRV. We selected for resistance to high drug concentrations against 10 PIs and their structural precursor DRV. Mutations accumulated through two pathways (anchored by protease mutations I50V or I84V). Small changes in the inhibitor P1'-equivalent position led to preferential use of one pathway over the other. Changes in the inhibitor P2'-equivalent position determined differences in potency that were retained in the resistant viruses and that impacted the selected mutations. Viral variants from the two pathways showed differential selection of compensatory mutations in Gag cleavage sites. These results reveal the high level of selective pressure that is attainable with fifth-generation PIs and how features of the inhibitor affect both the resistance pathway and the residual potency in the face of resistance.

Indexed as

HIV-1HIV InfectionsHIV Protease InhibitorsDarunavirDrug Resistance, ViralHumansMutationDarunavirHIV Protease Inhibitorsbiochemistrychemical biologyevolutionHIV-1infectious diseaseinhibitormicrobiologymutationsproteaseselectionviruses

Identifiers

PMID36920025
PMCPMC10065791

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.