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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RegaDB: Community-driven data management and analysis for infectious diseases
- Autores: Alcantara LC, Assel M, Ayouba A, Beheydt G, Boucher C, Camacho RJ, Carvalho AP, Cavaco-Silva J, De Bel A, De Munter P, De Oliveira T, Deforche K, Ferreira F, Grossman Z, Imbrechts S, Kaiser R, Lacor P, Lapadula G, Libin P, Otelea D, Paraschiv S, Peeters M, Ruelle J, Sloot P, Snoeck J, Theys K, Torti C, Van Laethem K, Van Wijngaerden E, Vandamme AM, Wesner S, Zazzi M
- Journal: Bioinformatics
- Link: http://www.ncbi.nlm.nih.gov/pubmed/23645815
RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyse patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface.
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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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Clinical Evaluation of Rega 8: An Updated Genotypic Interpretation System That Significantly Predicts HIV-Therapy Response
- Autores: Camacho R, Clotet B, De Luca A, Geretti AM, Grossman Z, Kaiser R, Prosperi M, Schmit JC, Sönnerborg A, Torti C, Van Wijngaerden E, Vercauteren J, Zazzi M, Beheydt G, Imbrechts S, Libin P, Vandamme AM, Van Laethem K
- 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.
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