Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort

Authors: Abecasis AB, Assel M, Bartha I, Luca AD, Müller V, Paredes R, Rosi A, Schülter E, Sloot PMA, Sönner-borg A, Svärd J, Torti C, van de Vijver DC, Van Laethem K, Vandamme AM, Zazzi M
Publication Year: 2013
Journal: BMC Infectious Diseases
Link: http://www.biomedcentral.com/1471-2334/13/537/

Superinfection with drug resistant HIV strains could potentially contribute to compromised therapy in patients initially infected with drug-sensitive virus and receiving antiretroviral therapy. To investigate the importance of this potential route to drug resistance, we developed a bioinformatics pipeline to detect superinfection from routinely collected genotyping data, and assessed whether superinfection contributed to increased drug resistance in a large European cohort of viremic, drug treated patients.
Read More

Evaluation of the automatic editing tool RECall for HIV-1 pol and V3 loop sequences

Authors: Megens S, Schrooten Y, Vandamme AM, Vinken L, Van Laethem K
Journal: Journal of Virological Methods
Link: http://www.ncbi.nlm.nih.gov/pubmed/23748120

Genotypic drug resistance testing is routine practice in HIV-1 clinical care. The visual interpretation of sequencing electropherograms is labour-intensive and subject to intra- and inter-assay variability because decisions are based on operators’ judgments. In this study the performance of the automatic editing tool RECall was compared to the current standard of editing manually and editing using the tool ViroSeq.
Read More

Clinical Evaluation of Rega 8: An Updated Genotypic Interpretation System That Significantly Predicts HIV-Therapy Response

Authors: Camacho R, Clotet B, De Luca A, Geretti AM, Grossman Z, Kaiser R, Prosperi M, Schmit JC, Sönnerborg A, Torti C, Van Wijngaerden E, Vercauteren J, Zazzi M, Beheydt G, Imbrechts S, Libin P, Vandamme AM, Van Laethem K
Journal: PLoS One
Link: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0061436

Clinically evaluating genotypic interpretation systems is essential to provide optimal guidance in designing potent individualized HIV-regimens. This study aimed at investigating the ability of the latest Rega algorithm to predict virological response on a short and longer period.
Read More

The rare HIV-1 gp41 mutations 43T and 50V elevate enfuvirtide resistance levels of common enfuvirtide resistance mutations that did not impact susceptibility to sifuvirtide

Mutations that are selected at low frequency and/or reside outside the enfuvirtide target region, amino acid 36-45 of gp41, might still be important determinants for drug resistance.
Read More

Discordant predictions of residual activity could impact dolutegravir prescription upon raltegravir failure

Authors: Abecasis A, Cabanas J, Camacho RJ, Gomes P, Libin P, Theys K, Van Laethem K
Publication Year: 2015
Journal: Journal of Clinical Virology
Link: http://www.ncbi.nlm.nih.gov/pubmed/26305833

BACKGROUND: Dolutegravir is approved for the treatment of HIV-1 patients exposed to other integrase inhibitors, but the decision to use dolutegravir in this setting should be informed by drug resistance testing. OBJECTIVES: This study determined the extent of disagreement in predicted residual dolutegravir activity after raltegravir use, and identified individual mutational patterns for which uncertainty […]
Read More

Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort

Evaluation of the automatic editing tool RECall for HIV-1 pol and V3 loop sequences

Clinical Evaluation of Rega 8: An Updated Genotypic Interpretation System That Significantly Predicts HIV-Therapy Response

The rare HIV-1 gp41 mutations 43T and 50V elevate enfuvirtide resistance levels of common enfuvirtide resistance mutations that did not impact susceptibility to sifuvirtide

Discordant predictions of residual activity could impact dolutegravir prescription upon raltegravir failure

About GHTM

Contacts

Map