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Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network)
The EuResist cohort was established in 2006 with the purpose of developing a clinical decision-support tool predicting the most effective antiretroviral therapy (ART) for persons living with HIV (PLWH), based on their clinical and virological data. Further to continuous extensive data collection fro...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222321/ https://www.ncbi.nlm.nih.gov/pubmed/37235291 http://dx.doi.org/10.3390/tropicalmed8050243 |
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author | Rossetti, Barbara Incardona, Francesca Di Teodoro, Giulia Mommo, Chiara Saladini, Francesco Kaiser, Rolf Sönnerborg, Anders Lengauer, Thomas Zazzi, Maurizio |
author_facet | Rossetti, Barbara Incardona, Francesca Di Teodoro, Giulia Mommo, Chiara Saladini, Francesco Kaiser, Rolf Sönnerborg, Anders Lengauer, Thomas Zazzi, Maurizio |
author_sort | Rossetti, Barbara |
collection | PubMed |
description | The EuResist cohort was established in 2006 with the purpose of developing a clinical decision-support tool predicting the most effective antiretroviral therapy (ART) for persons living with HIV (PLWH), based on their clinical and virological data. Further to continuous extensive data collection from several European countries, the EuResist cohort later widened its activity to the more general area of antiretroviral treatment resistance with a focus on virus evolution. The EuResist cohort has retrospectively enrolled PLWH, both treatment-naïve and treatment-experienced, under clinical follow-up from 1998, in nine national cohorts across Europe and beyond, and this article is an overview of its achievement. A clinically oriented treatment-response prediction system was released and made available online in 2008. Clinical and virological data have been collected from more than one hundred thousand PLWH, allowing for a number of studies on the response to treatment, selection and spread of resistance-associated mutations and the circulation of viral subtypes. Drawing from its interdisciplinary vocation, EuResist will continue to investigate clinical response to antiretroviral treatment against HIV and monitor the development and circulation of HIV drug resistance in clinical settings, along with the development of novel drugs and the introduction of new treatment strategies. The support of artificial intelligence in these activities is essential. |
format | Online Article Text |
id | pubmed-10222321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102223212023-05-28 Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) Rossetti, Barbara Incardona, Francesca Di Teodoro, Giulia Mommo, Chiara Saladini, Francesco Kaiser, Rolf Sönnerborg, Anders Lengauer, Thomas Zazzi, Maurizio Trop Med Infect Dis Article The EuResist cohort was established in 2006 with the purpose of developing a clinical decision-support tool predicting the most effective antiretroviral therapy (ART) for persons living with HIV (PLWH), based on their clinical and virological data. Further to continuous extensive data collection from several European countries, the EuResist cohort later widened its activity to the more general area of antiretroviral treatment resistance with a focus on virus evolution. The EuResist cohort has retrospectively enrolled PLWH, both treatment-naïve and treatment-experienced, under clinical follow-up from 1998, in nine national cohorts across Europe and beyond, and this article is an overview of its achievement. A clinically oriented treatment-response prediction system was released and made available online in 2008. Clinical and virological data have been collected from more than one hundred thousand PLWH, allowing for a number of studies on the response to treatment, selection and spread of resistance-associated mutations and the circulation of viral subtypes. Drawing from its interdisciplinary vocation, EuResist will continue to investigate clinical response to antiretroviral treatment against HIV and monitor the development and circulation of HIV drug resistance in clinical settings, along with the development of novel drugs and the introduction of new treatment strategies. The support of artificial intelligence in these activities is essential. MDPI 2023-04-23 /pmc/articles/PMC10222321/ /pubmed/37235291 http://dx.doi.org/10.3390/tropicalmed8050243 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rossetti, Barbara Incardona, Francesca Di Teodoro, Giulia Mommo, Chiara Saladini, Francesco Kaiser, Rolf Sönnerborg, Anders Lengauer, Thomas Zazzi, Maurizio Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title | Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title_full | Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title_fullStr | Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title_full_unstemmed | Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title_short | Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network) |
title_sort | cohort profile: a european multidisciplinary network for the fight against hiv drug resistance (euresist network) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222321/ https://www.ncbi.nlm.nih.gov/pubmed/37235291 http://dx.doi.org/10.3390/tropicalmed8050243 |
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