Evidence map›Paper›PMID 23571535›Full record

ArticleAntimicrobial agents and chemotherapy2013

Complex patterns of protease inhibitor resistance among antiretroviral treatment-experienced HIV-2 patients from Senegal: implications for second-line therapy.

Dana N Raugi, Robert A Smith, Selly Ba, Macoumba Toure, Fatou Traore, Fatima Sall, Charlotte Pan, Lindsey Blankenship, Alexandra Montano, Julia Olson and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Long-term Experience and Outcomes of Programmatic Antiretroviral Therapy for Human Immunodeficiency Virus Type 2 Infection in Senegal, West Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Observational
  11. Article
  12. HIV-2 Drug Resistance Genotyping from Dried Blood Spots.Journal of clinical microbiology · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Antimicrobial agents and chemotherapy · 2018
    Article
  20. 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

17 authors at 3 institutions in 2 countries.

Dana N RaugiDepartment of Medicine, Division of Allergy and Infectious Diseases, School of Medicine, University of Washington, Seattle, Washington, USA.
Robert A Smith
Selly Ba
Macoumba Toure
Fatou Traore
Fatima Sall
Charlotte Pan
Lindsey Blankenship
Alexandra Montano
Julia Olson
Ndeye Mery Dia Badiane
James I Mullins
Nancy B Kiviat
Stephen E Hawes
Papa Salif Sow
Geoffrey S Gottlieb
University of Washington-Dakar HIV-2 Study Group
University of Washington · USCentre Hospitalier National Universitaire de Fann · SNCheikh Anta Diop University · SN

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Antiretroviral Therapy for HIV-2 Infection in SenegalR01AI060466 · NIAID · UNIVERSITY OF WASHINGTON · PI GOTTLIEB, GEOFFREY SCOTT · 2005 to 2014
$6.5M
NIAID NIH HHS P30 AI027757NIAID NIH HHS R01 AI060466PHS HHS NIAID R01 AI060466
6 · The paper itself

Abstract

Protease inhibitor (PI)-based antiretroviral therapy (ART) can effectively suppress HIV-2 plasma load and increase CD4 counts; however, not all PIs are equally active against HIV-2, and few data exist to support second-line therapy decisions. To identify therapeutic options for HIV-2 patients failing ART, we evaluated the frequency of PI resistance-associated amino acid changes in HIV-2 sequences from a cohort of 43 Senegalese individuals receiving unboosted indinavir (n = 18 subjects)-, lopinavir/ritonavir (n = 4)-, or indinavir and then lopinavir/ritonavir (n = 21)-containing ART. Common protease substitutions included V10I, V47A, I54M, V71I, I82F, I84V, L90M, and L99F, and most patients harbored viruses containing multiple changes. Based on genotypic data, we constructed a panel of 15 site-directed mutants of HIV-2ROD9 containing single- or multiple-treatment-associated amino acid changes in the protease-encoding region of pol. We then quantified the susceptibilities of the mutants to the HIV-2 "active" PIs saquinavir, lopinavir, and darunavir using a single-cycle assay. Relative to wild-type HIV-2, the V47A mutant was resistant to lopinavir (6.3-fold increase in the mean 50% effective concentration [EC50]), the I54M variant was resistant to darunavir and lopinavir (6.2- and 2.7-fold increases, respectively), and the L90M mutant was resistant to saquinavir (3.6-fold increase). In addition, the triple mutant that included I54M plus I84V plus L90M was resistant to all three PIs (31-, 10-, and 3.8-fold increases in the mean EC50 for darunavir, saquinavir, and lopinavir, respectively). Taken together, our data demonstrate that PI-treated HIV-2 patients frequently harbor viruses that exhibit complex patterns of PI cross-resistance. These findings suggest that sequential PI-based regimens for HIV-2 treatment may be ineffective.

Indexed as

AdultAnti-HIV AgentsCell LineDrug Resistance, ViralFemaleGenotypeHIV-2HIV InfectionsHIV ProteaseHIV Protease InhibitorsHumansMaleMicrobial Sensitivity TestsMiddle AgedMolecular Sequence DataMutagenesis, Site-DirectedAnti-HIV AgentsHIV ProteaseHIV Protease Inhibitors

Identifiers

PMID23571535
PMCPMC3716120
OpenAlexW2111762548

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.