HIV-1 fitness landscape models for indinavir treatment pressure using observed evolution in longitudinal sequence data are predictive for treatment failure

Authors: Beheydt G, Bruzzone B, Camacho RJ, De Luca A, Deforche K, Grossman Z, Imbrechts S, Incardona F, Libin P, Pironti A, Rhee SY, Ruiz L, Sangeda RZ, Shafer RW, Sönnerborg A, Theys K, Torti C, Van de Vijver DA, Van Laethem K, Van Wijngaerden E, Vandamme AM, Vercauteren J, Zazzi M
Journal: Infection Genetics and Evolution
Link: http://www.ncbi.nlm.nih.gov/pubmed/23523594

We previously modeled the in vivo evolution of human immunodeficiency virus-1 (HIV-1) under drug selective pressure from cross-sectional viral sequences. These fitness landscapes (FLs) were made by using first a Bayesian network (BN) to map epistatic substitutions, followed by scaling the fitness landscape based on an HIV evolution simulator trying to evolve the sequences from treatment naïve patients into sequences from patients failing treatment.
Read More

Appearance of a single amino acid insertion at position 33 in HIV type 1 protease under a lopinavir-containing regimen, associated with reduced protease inhibitor susceptibility.

HIV drug resistance is a multifactorial phenomenon and constitutes a major concern as it results in therapy failure. The aim of this study was to assess the impact of an amino acid insertion identified at position 33 of the protease gene, derived from samples from three patients under lopinavir therapy, on viral fitness and protease inhibitor (PI) resistance.
Read More

Development of a cross-European virtual sample repository and HIV resistance database.

Authors: Beheydt G, Fanti I, Imbrechts S, Incardona F, Kjaer J, Kristensen DK, Rickenbach M, Vandamme AM
Journal: Antiviral Therapy
Link: https://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=39&SID=2CbhBUDoSw8ZkFBEQLW&page=1&doc=1

Authors: Beheydt G, Camacho R, Clotet B, De Luca A, Geretti AM, Grossman Z, Imbrechts S, Kaiser R, Libin P, Prosperi M, Schmit JC, Sönnerborg A, Torti C, Van Laethem K, Van Wijngaerden E, Vandamme AM, Vercauteren J, Zazzi M
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

HIV-1 fitness landscape models for indinavir treatment pressure using observed evolution in longitudinal sequence data are predictive for treatment failure

Appearance of a single amino acid insertion at position 33 in HIV type 1 protease under a lopinavir-containing regimen, associated with reduced protease inhibitor susceptibility.

Development of a cross-European virtual sample repository and HIV resistance database.

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

About GHTM

Contacts

Subscribe Newsletter