GHTM

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Home / Archives for Schrooten Y

Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy

  • Authors: Aragri M, Balog D, Ceccherini-Silberstein F, Cento V, Cuypers L, Di Maio VC, Fabeni L, Focà A, Marascio N, Nevens F, Perno CF, Pineda-Peña AC, Schrooten Y, Torti C, Van Laethem K, Vandamme AM, Vrancken B
  • Publication Year: 2017
  • Journal: BMC Evolutionary Biology
  • Link: https://bmcevolbiol.biomedcentral.com/articles/10.1186/s12862-017-0913-3

In-depth phylogeographic analysis can reveal migration patterns relevant for public health planning. Here, as a model, we focused on the provenance, in the current Italian HCV subtype 1a epidemic, of the NS3 resistance-associated variant (RAV) Q80K, known to interfere with the action of NS3/4A protease inhibitor simeprevir. HCV1a migration patterns were analysed using Bayesian phylodynamic […]
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Exploring resistance pathways for first-generation NS3/4A protease inhibitors boceprevir and telaprevir using Bayesian network learning

  • Authors: Ceccherini-Silberstein F, Cento V, Cuypers L, Di Maio VC, Libin P, Lunar MM, Nevens F, Nowé A, Poljak M, Schrooten Y, Theys K, Van Laethem K, Vandamme AM
  • Publication Year: 2017
  • Journal: Infection Genetics and Evolution
  • Link: https://www.sciencedirect.com/science/article/pii/S1567134817301582?via%3Dihub

Resistance-associated variants (RAVs) have been shown to influence treatment response to direct-acting antivirals (DAAs) and first generation NS3/4A protease inhibitors (PIs) in particular. Interpretation of hepatitis C virus (HCV) genotypic drug resistance remains a challenge, especially in patients who previously failed DAA therapy and need to be retreated with a second DAA based regimen. Bayesian […]
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High frequency of antiviral drug resistance and non-b subtypes in HIV-1 patients failing antiviral therapy in Cuba

  • Authors: Aleman Y, Álvarez D, Aragonés C, Campos J, Correa C, Fonseca C, Kourí V, Limia C, Perez J, Perez L, Schrooten Y, Soto Y, Van Laethem K, Vandamme AM, Vinken L
  • Journal: Journal of Clinical Virology
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/25397499

INTRODUCTION:
Emergence of HIV-1 drug resistance may limit the sustained benefits of antiretroviral therapy (ART) in settings with limited laboratory monitoring and drug options. The objective is to implement the surveillance of drug resistance and subtypes in HIV-1 patients failing ART in Cuba.
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Antiretroviral drug resistance in HIV-1 therapy-naive patients in Cuba

  • Authors: Abrahantes Y, Aleman Y, Alvarez A, Álvarez D, Aragonés C, Beheydt G, Campos J, Correa C, Dekeersmaeker N, Fonseca C, Imbrechts S, Kourí V, Martínez O, Perez J, Perez L, Schrooten Y, Soto Y, Van Laethem K, Vandamme AM, Vinken L
  • Publication Year: 2013
  • Journal: Infection Genetics and Evolution
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/23416260

In Cuba, antiretroviral therapy rollout started in 2001 and antiretroviral therapy coverage has reached almost 40% since then. The objectives of this study were therefore to analyze subtype distribution, and level and patterns of drug resistance in therapy-naive HIV-1 patients.
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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.
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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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