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Home / Archives for Schülter E

Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study).

  • Autores: Altmann A, Boucher CA, Brun-Vezinet F, Harrigan PR, Incardona F, Kaiser R, Lengauer T, Morris L, Obermeier M, Peres Y, Perno CF, Petroczi A, Phanuphak P, Pillay D, Prosperi M, Rosen-Zvi M, Schülter E, Shafer RW, Sönnerborg A, Struck D, Wensing AMJ, Zazzi M, Vandamme AM, Van Laethem K
  • Journal: HIV Medicine
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Prediction+of+response+to+antiretroviral+therapy+by+human+experts+and+by+the+EuResist+data-driven+expert+system+(the+EVE+study).

OBJECTIVES:
The EuResist expert system is a novel data-driven online system for computing the probability of 8-week success for any given pair of HIV-1 genotype and combination antiretroviral therapy regimen plus optional patient information. The objective of this study was to compare the EuResist system vs. human experts (EVE) for the ability to predict response to treatment.
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Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort

  • Autores: 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
  • Ano de Publicação: 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.
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HIV-1 subtype is an independent predictor of reverse transcriptase mutation k65r in HIV-1 patients treated with combination antiretroviral therapy including tenofovir

  • Autores: Abecasis AB, Camacho RJ, Clotet B, De Luca A, Grossman Z, Schülter E, Snoeck J, Sönnerborg A, Struck D, Theys K, Torti C, Vandamme AM, Vercauteren J, Zazzi M
  • Journal: Antimicrobial Agents and Chemotherapy
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/23183438

Subtype-dependent selection of HIV-1 reverse transcriptase resistance mutation K65R was previously observed in cell culture and small clinical investigations. We compared K65R prevalence across subtypes A, B, C, F, G, and CRF02_AG separately in a cohort of 3,076 patients on combination therapy including tenofovir. K65R selection was significantly higher in HIV-1 subtype C. This could not be explained by clinical and demographic factors in multivariate analysis, suggesting subtype sequence-specific K65R pathways.
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About GHTM

GHTM is a R&D Center that brings together researchers from IHMT 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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    Project UID/Multi/04413/2013