Evidence map›Paper›PMID 20660676›Full record

ArticleAntimicrobial agents and chemotherapy2010

HIV-1 protease mutations and protease inhibitor cross-resistance.

Soo-Yon Rhee, Jonathan Taylor, W Jeffrey Fessel, David Kaufman, William Towner, Paolo Troia, Peter Ruane, James Hellinger, Vivian Shirvani, Andrew Zolopa and 1 more

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
8.4field-weighted citation impact, top 1% 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

105 citing papers in PubMed, 2 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Forecasting drug resistant HIV protease evolution.PLoS computational biology · 2026
    Article
  9. Exploring evolutionary trajectories of drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. HIV and Drug-Resistant Subtypes.Microorganisms · 2023
    Review
  20. Article

45 more citing papers are in PubMed but not listed here.

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

11 authors at 6 institutions in 1 country.

Soo-Yon RheeDivision of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California 94305, USA. syrhee@stanford.edu
Jonathan Taylor
W Jeffrey Fessel
David Kaufman
William Towner
Paolo Troia
Peter Ruane
James Hellinger
Vivian Shirvani
Andrew Zolopa
Robert W Shafer
Stanford University · USKaiser Permanente · USCedars-Sinai Medical Center · USSt. Vincent's Medical Center · USTufts Medical Center · USUniversity of California Davis Medical Center · US

Funding

Targeting ensembles of Drug Resistant HIV ProteasesP01GM066524 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2002 to 2011
$16.3M
NIAID NIH HHS AI06858NIGMS NIH HHS 5P01GM066524-08NIGMS NIH HHS P01 GM066524
6 · The paper itself

Abstract

The effects of many protease inhibitor (PI)-selected mutations on the susceptibility to individual PIs are unknown. We analyzed in vitro susceptibility test results on 2,725 HIV-1 protease isolates. More than 2,400 isolates had been tested for susceptibility to fosamprenavir, indinavir, nelfinavir, and saquinavir; 2,130 isolates had been tested for susceptibility to lopinavir; 1,644 isolates had been tested for susceptibility to atazanavir; 1,265 isolates had been tested for susceptibility to tipranavir; and 642 isolates had been tested for susceptibility to darunavir. We applied least-angle regression (LARS) to the 200 most common mutations in the data set and identified a set of 46 mutations associated with decreased PI susceptibility of which 40 were not polymorphic in the eight most common HIV-1 group M subtypes. We then used least-squares regression to ascertain the relative contribution of each of these 46 mutations. The median number of mutations associated with decreased susceptibility to each PI was 28 (range, 19 to 32), and the median number of mutations associated with increased susceptibility to each PI was 2.5 (range, 1 to 8). Of the mutations with the greatest effect on PI susceptibility, I84AV was associated with decreased susceptibility to eight PIs; V32I, G48V, I54ALMSTV, V82F, and L90M were associated with decreased susceptibility to six to seven PIs; I47A, G48M, I50V, L76V, V82ST, and N88S were associated with decreased susceptibility to four to five PIs; and D30N, I50L, and V82AL were associated with decreased susceptibility to fewer than four PIs. This study underscores the greater impact of nonpolymorphic mutations compared with polymorphic mutations on decreased PI susceptibility and provides a comprehensive quantitative assessment of the effects of individual mutations on susceptibility to the eight clinically available PIs.

Indexed as

Atazanavir SulfateCarbamatesDarunavirFuransHIV-1HIV ProteaseHIV Protease InhibitorsIndinavirLeast-Squares AnalysisLopinavirMutationNelfinavirOligopeptidesOrganophosphatesPolymorphism, GeneticPyridinesAtazanavir SulfateCarbamatesDarunavirfosamprenavirFuransHIV ProteaseHIV Protease InhibitorsIndinavirLopinavirNelfinavirOligopeptidesOrganophosphatesPyridinesPyrimidinonesPyronesSaquinavirSulfonamidestipranavir

Identifiers

PMID20660676
PMCPMC2944562
OpenAlexW2140227530

What OpenQuestion holds

Textmetadata
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.