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Home / Archives for Incardona F

Determinants of HIV-1 Late Presentation in Patients Followed in Europe

  • Autores: Miranda MNS, Pingarilho M, Pimentel V, Martins MDRO, Vandamme A-M, Bobkova M, Böhm M, Seguin-Devaux C, Paredes R, Rubio R, Zazzi M, Incardona F, Abecasis A.
  • Ano de Publicação: 2021
  • Journal: Pathogens, 10(7), art 835
  • Link: https://doi.org/10.3390/pathogens10070835

ABSTRACT To control the Human Immunodeficiency Virus (HIV) pandemic, the World Health Organization (WHO) set the 90-90-90 target to be reached by 2020. One major threat to those goals is late presentation, which is defined as an individual presenting a TCD4+ count lower than 350 cells/mm3 or an AIDS-defining event. The present study aims to […]
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Earlier initiation of antiretroviral treatment coincides with an initial control of the HIV-1 sub-subtype F1 outbreak among men-having-sex-with-men in Flanders, Belgium

  • Autores: Vinken L, Fransen K, Cuypers L, Alexiev I, Balotta C, Debaisieux L, Seguin-Devaux C, García Ribas S, Gomes P, Incardona F, Kaiser R, Ruelle J, Sayan M, Paraschiv S, Paredes R, Peeters M, Sönnerborg A, Vancutsem E, Vandamme AM, Van den Wijngaert S, Van Ranst M, Verhofstede C, Stadler T, Lemey P, Van Laethem K
  • Ano de Publicação: 2019
  • Journal: Frontiers in Microbiology
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/30972053

Human immunodeficiency virus type 1 (HIV-1) non-B subtype infections occurred in Belgium since the 1980s, mainly amongst migrants and heterosexuals, whereas subtype B predominated in men-having-sex-with-men (MSM). In the last decade, the diagnosis of F1 sub-subtype in particular has increased substantially, which prompted us to perform a detailed reconstruction of its epidemiological history. To this […]
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A21 HIV-1 sub-subtype F1 outbreak among MSM in Belgium

  • Autores: Alexiev I, Balotta C, Debaisieux L, Devaux C, Fransen K, García Ribas S, Gomes P, Incardona F, Kaiser R, Lemey P, Paraschiv S, Paredes R, Peeters M, Pineda-Peña AC, Ruelle J, Sayan M, Sönnerborg A, Van den Wijngaert S, Van Laethem K, Van Ranst M, Vancutsem E, Vandamme AM, Verhofstede C, Vinken L
  • Ano de Publicação: 2017
  • Journal: Virus Evolution
  • Link: https://academic.oup.com/ve/article/3/suppl_1/vew036.020/4090767%20

HIV-1 non-B subtype infections have been observed in Belgium since the 1980s. However, subtype B predominates amongst men having sex with men (MSM), whereas other subtypes are mainly associated with sub-Saharan African migrants and heterosexual risk behavior. In the last decade, subtype F1 diagnoses have increased substantially in Belgium, representing 9% of newly diagnosed and […]
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PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context

  • Autores: Baele G, Bezenchek A, EucoHIV Study Group, Incardona F, Libin P, Nowé A, Sönnerborg A, Theys K, Vandamme AM, Vanden Eynden E
  • Ano de Publicação: 2017
  • Journal: Bioinformatics
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/28961923

MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study this spread through phylogenetic analysis. To infer knowledge from large phylogenetic trees, potentially […]
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Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time

  • Autores: Assel M, Boucher CA, De Luca A, Fabbiani M, Frentz D, Incardona F, Manca N, Müller V, O Nualláin B, Paredes R, Prosperi M, Quiros-Roldan E, Ruiz L, Sloot PM, Torti C, Van de Vijver DA, Zazzi M, Libin P, Vandamme AM, Van Laethem K
  • Journal: PLoS One
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Comparison+of+HIV-1+Genotypic+Resistance+Test+Interpretation+Systems+in+Predicting+Virological+Outcomes+Over+Time

BACKGROUND: Several decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford’s HIVdb) to predict virological outcome at 12, 24, and 48 weeks. METHODOLOGY/PRINCIPAL FINDINGS: Included were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was […]
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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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