Large cluster outbreaks sustain the HIV epidemic among MSM in Quebec

Autores: Brenner BG, Grossman Z, Hardy I, Ibanescu RI, Moodie E, Otis J, Roger M, Stephens D, Vandamme AM, Wainberg MA
Ano de Publicação: 2017
Journal: AIDS
Link: https://insights.ovid.com/crossref?an=00002030-201703130-00012you

Objective: HIV-1 epidemics among men having sex with men (MSM) remain unchecked despite advances in treatment and prevention paradigms. This study combined viral phylogenetic and behavioural risk data to better understand underlying factors governing the temporal growth of the HIV epidemic among MSM in Quebec (2002-2015). Methods: Phylogenetic analysis of pol sequences was used to […]
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Limited cross-border infections in patients newly diagnosed with HIV in Europe

Autores: Abecasis AB, Albert J, Åsjö B, Balotta C, Beshkov D, Camacho RJ, Clotet B, Coughlan S, De Wit S, Frentz D, Griskevicius A, Grossman Z, Hamouda O, Horban A, Jørgensen LB, Kolupajeva T, Korn K, Kostrikis LG, Kücherer C, Liitsola K, Linka M, Nielsen C, Otelea D, Paraskevis D, Paredes R, Poljak M, Schmit JC, Sönnerborg A, Staneková D, Stanojevic M, Struck D, Vandamme AM, Wensing AMJ
Ano de Publicação: 2013
Journal: Retrovirology
Link: http://www.retrovirology.com/content/10/1/36

International travel plays a role in the spread of HIV-1 across Europe. It is, however, not known whether international travel is more important for spread of the epidemic as compared to endogenous infections within single countries. In this study, phylogenetic associations among HIV of newly diagnosed patients were determined across Europe.
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HIV-1 fitness landscape models for indinavir treatment pressure using observed evolution in longitudinal sequence data are predictive for treatment failure

Autores: 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.
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