HIV-1 tropism: a comparison between RNA and proviral DNA in routine clinical samples from Chilean patients
Author
dc.contributor.author
Ferrer Campos, Pablo
es_CL
Author
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Montecinos, Luisa
es_CL
Author
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Tello, Mario
es_CL
Author
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Tordecilla, Rocío
es_CL
Author
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Rodríguez, Consuelo
es_CL
Author
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Ferrés, Marcela
es_CL
Author
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Pérez, Carlos M.
es_CL
Author
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Beltrán, Carlos
es_CL
Author
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Guzmán Meléndez, María Antonieta
es_CL
Author
dc.contributor.author
Afani Saud, Alejandro
Admission date
dc.date.accessioned
2014-01-09T12:59:12Z
Available date
dc.date.available
2014-01-09T12:59:12Z
Publication date
dc.date.issued
2013
Cita de ítem
dc.identifier.citation
Virology Journal 2013, 10:318
en_US
Identifier
dc.identifier.other
doi:10.1186/1743-422X-10-318
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/129115
General note
dc.description
Artículo de publicación ISI
en_US
Abstract
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Background: HIV in Chile has a notification rate of 0.01%. Coreceptor antagonists are a family of antiretroviral drugs
that are used with the prior knowledge of patients HIV-1 tropism. Viral RNA-based tropism detection requires a
plasma viral load ≥1000 copies/mL, while proviral DNA-based detection can be performed regardless of plasma
viral load. This test is useful in patients with low or undetectable viral loads and would benefit with a proper
therapy. The aim of this study was to determine the correlation between HIV RNA and proviral genotypic DNA
tropism tests.
Findings: Forty three Chilean patients were examined using population-based V3 sequencing, and a geno2pheno
false-positive rate (FPR) cutoff values of 5, 5.75, 10 and 20%. With cutoff 5.75% a concordance of 88.4% in tropism
prediction was found after a simultaneous comparison between HIV tropism assessment by RNA and DNA. In total,
five discrepancies (11.6%) were found, 3 patients were RNA-R5/DNA-X4 and two were RNA-X4/DNA-R5. Proviral
DNA enabled the prediction of tropism in patients with a low or undetectable viral load. For cutoff 5 and 5.75%
genotypic testing using proviral DNA showed a similar sensitivity for X4 as RNA. We found that the highest
sensitivity for detecting the X4 strain occurred with proviral DNA and cutoff of 10 and 20%. Viral loads were higher
among X4 strain carriers than among R5 strain carriers (p < 0.05).
Conclusions: A high degree of concordance was found between tropism testing with RNA and testing with
proviral DNA. Our results suggest that proviral DNA-based genotypic tropism testing is a useful option for patients
with low or undetectable viral load who require a different therapy.