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Global Health and Tropical Medicine

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Home / Archives for Camacho RJ

Phylogeographical footprint of colonial history in the global dispersal of human immunodeficiency virus type 2 group A.

  • Authors: Camacho RJ, de Sousa JD, Erasmus S, Faria NR, Goncalves MF, Goubau P, Hodges-Mameletzis I, Jallow S, Lemey P, Paolucci S, Pieniazek D, Rodés B, Ruelle J, Silva JC, Soriano V, Suchard MA, Taveira N, Treviño A, Vandamme AM, Xu L
  • Journal: Journal of General Virology
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Phylogeographical+footprint+of+colonial+history+in+the+global+dispersal+of+human+immunodeficiency+virus+type+2+group+A

Human immunodeficiency virus type 2 (HIV-2) emerged in West Africa and has spread further to countries that share socio-historical ties with this region. However, viral origins and dispersal patterns at a global scale remain poorly understood. Here, we adopt a Bayesian phylogeographic approach to investigate the spatial dynamics of HIV-2 group A (HIV-2A) using a collection of 320 partial pol and 248 partial env sequences sampled throughout 19 countries worldwide.
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HIV-1 protease mutation 82M contributes to phenotypic resistance to protease inhibitors in subtype G.

  • Authors: Camacho RJ, Covens K, Palma AC, Snoeck J, Van Laethem K, Vandamme AM
  • Journal: Journal of Antimicrobial Chemotherapy
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=HIV-1+protease+mutation+82M+contributes+to+phenotypic+resistance+to+protease+inhibitors+in+subtype+G

OBJECTIVES:
The purpose of this study was the qualitative and quantitative assessment of the in vitro effect of HIV-1 protease (PR) mutation 82M on replication capacity and susceptibility to the eight clinically available PR inhibitors (PIs).
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Phylodynamics of the HIV-1 CRF02_AG clade in Cameroon.

  • Authors: Abecasis A, Bonfim I, Camacho RJ, Faria NR, Lemey P, Ndembi N, Sousa JD, Suchard MA, Vandamme AM
  • Journal: Infection Genetics and Evolution
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Phylodynamics+of+the+HIV-1+CRF02_AG+clade+in+Cameroon

Evolutionary analyses have revealed an origin of pandemic HIV-1 group M in the Congo River basin in the first part of the XX century, but the patterns of historical viral spread in or around its epicentre remain largely unexplored. Here, we combine epidemiologic and molecular sequence data to investigate the spatiotemporal patterns of the CRF02_AG clade.
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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

  • 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.
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Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes: Performance evaluation of the new REGA version 3 and seven other tools

  • Authors: Abecasis AB, Camacho RJ, De Oliveira T, Deforche K, Faria NR, Gomez-Lopez A, Imbrechts S, Libin P, Pineda-Peña AC, Vandamme AM
  • Journal: Infection Genetics and Evolution
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/23660484

To investigate differences in pathogenesis, diagnosis and resistance pathways between HIV-1 subtypes, an accurate subtyping tool for large datasets is needed. We aimed to evaluate the performance of automated subtyping tools to classify the different subtypes and circulating recombinant forms using pol, the most sequenced region in clinical practice. We also present the upgraded version 3 of the Rega HIV subtyping tool (REGAv3).
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About GHTM

GHTM is a R&D Unit that brings together researchers with a track record in Tropical Medicine and International & Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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Funding

UID/04413/2025 - DOI: 10.54499/UID/04413/2025

UID/PRR/04413/2025 - DOI: 10.54499/UID/PRR/04413/2025

UID/PRR2/04413/2025 - DOI: 10.54499/UID/PRR2/04413/2025

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