PURPOSE OF REVIEW: This review summarizes our knowledge of HIV-1 subtype-related differences associated with antiretroviral drug resistance and its interpretation, and with clinical, immunological and virological therapy outcomes. It also addresses the problem that subtypes are only a crude classification of the genetic diversity relevant to these topics. RECENT FINDINGS: Subtype-related variability is responsible for differences in drug resistance. Baseline drug susceptibility and resistance pathways vary between subtypes; such variation is mainly related to differences in the prevalence of specific polymorphisms. The clinical impact of these findings is rather limited, but with the increasing genetic diversity of HIV-1, they have the potential to impact the accuracy of the 'algorithm' concept for genotypic drug resistance test interpretation negatively. SUMMARY: Severe limitations exist in the data describing the association of HIV-1 subtypes with resistance and treatment outcomes, because most data are the result of retrospective observational studies. Even with these limitations, the knowledge gathered allows us to assume that differences in the short-term response to treatment in different subtypes should not greatly affect treatment strategies. As for the interpretation of genotypic resistance testing, new tools are needed, taking into account the entire genomic context and thus overcoming the problem of genetic diversity.
PURPOSE OF REVIEW: This review summarizes our knowledge of HIV-1 subtype-related differences associated with antiretroviral drug resistance and its interpretation, and with clinical, immunological and virological therapy outcomes. It also addresses the problem that subtypes are only a crude classification of the genetic diversity relevant to these topics. RECENT FINDINGS: Subtype-related variability is responsible for differences in drug resistance. Baseline drug susceptibility and resistance pathways vary between subtypes; such variation is mainly related to differences in the prevalence of specific polymorphisms. The clinical impact of these findings is rather limited, but with the increasing genetic diversity of HIV-1, they have the potential to impact the accuracy of the 'algorithm' concept for genotypic drug resistance test interpretation negatively. SUMMARY: Severe limitations exist in the data describing the association of HIV-1 subtypes with resistance and treatment outcomes, because most data are the result of retrospective observational studies. Even with these limitations, the knowledge gathered allows us to assume that differences in the short-term response to treatment in different subtypes should not greatly affect treatment strategies. As for the interpretation of genotypic resistance testing, new tools are needed, taking into account the entire genomic context and thus overcoming the problem of genetic diversity.
Authors: K Theys; J Vercauteren; J Snoeck; M Zazzi; R J Camacho; C Torti; E Schülter; B Clotet; A Sönnerborg; A De Luca; Z Grossman; D Struck; A-M Vandamme; A B Abecasis Journal: Antimicrob Agents Chemother Date: 2012-11-26 Impact factor: 5.191
Authors: Koen Deforche; Ricardo J Camacho; Zehave Grossman; Marcelo A Soares; Kristel Van Laethem; David A Katzenstein; P Richard Harrigan; Rami Kantor; Robert Shafer; Anne-Mieke Vandamme Journal: AIDS Date: 2008-10-18 Impact factor: 4.177
Authors: Giovanni Lorenzin; Franco Gargiulo; Arnaldo Caruso; Francesca Caccuri; Emanuele Focà; Anna Celotti; Eugenia Quiros-Roldan; Ilaria Izzo; Francesco Castelli; Maria A De Francesco Journal: Microorganisms Date: 2019-12-23
Authors: Luiz Carlos Junior Alcantara; Sharon Cassol; Pieter Libin; Koen Deforche; Oliver G Pybus; Marc Van Ranst; Bernardo Galvão-Castro; Anne-Mieke Vandamme; Tulio de Oliveira Journal: Nucleic Acids Res Date: 2009-05-29 Impact factor: 16.971
Authors: Ana B Abecasis; Annemarie M J Wensing; Dimitris Paraskevis; Jurgen Vercauteren; Kristof Theys; David A M C Van de Vijver; Jan Albert; Birgitta Asjö; Claudia Balotta; Danail Beshkov; Ricardo J Camacho; Bonaventura Clotet; Cillian De Gascun; Algis Griskevicius; Zehava Grossman; Osamah Hamouda; Andrzej Horban; Tatjana Kolupajeva; Klaus Korn; Leon G Kostrikis; Claudia Kücherer; Kirsi Liitsola; Marek Linka; Claus Nielsen; Dan Otelea; Roger Paredes; Mario Poljak; Elisabeth Puchhammer-Stöckl; Jean-Claude Schmit; Anders Sönnerborg; Danika Stanekova; Maja Stanojevic; Daniel Struck; Charles A B Boucher; Anne-Mieke Vandamme Journal: Retrovirology Date: 2013-01-14 Impact factor: 4.602