HIV-DNA undetectability during chronic HIV infection: frequency and predictive factors.


Journal

The Journal of antimicrobial chemotherapy
ISSN: 1460-2091
Titre abrégé: J Antimicrob Chemother
Pays: England
ID NLM: 7513617

Informations de publication

Date de publication:
01 10 2020
Historique:
received: 08 01 2020
revised: 30 04 2020
accepted: 03 05 2020
pubmed: 26 6 2020
medline: 25 6 2021
entrez: 26 6 2020
Statut: ppublish

Résumé

HIV-DNA is a marker of HIV reservoirs. Objectives of the study were to determine prevalence of HIV-DNA < 100 copies/106 PBMCs in blood and to identify factors associated with this in a cohort of HIV-1-infected subjects treated with ART and with undetectable viral load (VL). This was a cross-sectional study on chronic HIV-1-infected people living with HIV (PLWH) followed up at the Department of Infectious Diseases of San Raffaele Scientific Institute on current ART without change for 12 months, with available pre-ART HIV-RNA and with undetectable VL for ≥12 months. HIV-DNA was amplified and quantified by real-time PCR (ABI Prism 7900); limit of detectability was 100 copies/106 PBMCs. Logistic regression was used to identify predictive factors for HIV-DNA < 100 copies/106 PBMCs. Four hundred and sixty-eight PLWH were considered in the analyses, 119 (25%) with HIV-DNA < 100 copies/106 PBMCs. At multivariate analysis, we found that PLWH with lower zenith HIV-RNA, higher nadir CD4 and a shorter time between HIV diagnosis and ART start were more likely to have HIV-DNA < 100 copies/106 PBMCs, after adjustment for age, gender, calendar year of ART start, type of current ART regimen, percentage time spent with undetectable VL since ART start, current CD4 and CD4/CD8 ratio. In our chronic PLWH on virological suppression for 4 years, the prevalence of HIV-DNA < 100  copies/106 PBMCs was found to be 25%. Lower zenith HIV-RNA, shorter time between HIV diagnosis and starting ART and higher CD4 nadir were independently associated with low HIV-DNA.

Sections du résumé

BACKGROUND
HIV-DNA is a marker of HIV reservoirs. Objectives of the study were to determine prevalence of HIV-DNA < 100 copies/106 PBMCs in blood and to identify factors associated with this in a cohort of HIV-1-infected subjects treated with ART and with undetectable viral load (VL).
METHODS
This was a cross-sectional study on chronic HIV-1-infected people living with HIV (PLWH) followed up at the Department of Infectious Diseases of San Raffaele Scientific Institute on current ART without change for 12 months, with available pre-ART HIV-RNA and with undetectable VL for ≥12 months. HIV-DNA was amplified and quantified by real-time PCR (ABI Prism 7900); limit of detectability was 100 copies/106 PBMCs. Logistic regression was used to identify predictive factors for HIV-DNA < 100 copies/106 PBMCs.
RESULTS
Four hundred and sixty-eight PLWH were considered in the analyses, 119 (25%) with HIV-DNA < 100 copies/106 PBMCs. At multivariate analysis, we found that PLWH with lower zenith HIV-RNA, higher nadir CD4 and a shorter time between HIV diagnosis and ART start were more likely to have HIV-DNA < 100 copies/106 PBMCs, after adjustment for age, gender, calendar year of ART start, type of current ART regimen, percentage time spent with undetectable VL since ART start, current CD4 and CD4/CD8 ratio.
CONCLUSIONS
In our chronic PLWH on virological suppression for 4 years, the prevalence of HIV-DNA < 100  copies/106 PBMCs was found to be 25%. Lower zenith HIV-RNA, shorter time between HIV diagnosis and starting ART and higher CD4 nadir were independently associated with low HIV-DNA.

Identifiants

pubmed: 32585684
pii: 5862744
doi: 10.1093/jac/dkaa235
doi:

Substances chimiques

Anti-HIV Agents 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2994-2997

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Silvia Nozza (S)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.

Laura Galli (L)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.

Nicola Gianotti (N)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.

Mariarita Parisi (M)

Vita-Salute San Raffaele University, Milan, Italy.

Andrea Poli (A)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.

Paola Cinque (P)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.

Vincenzo Spagnuolo (V)

Department of Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy.
Vita-Salute San Raffaele University, Milan, Italy.

Elena Bruzzesi (E)

Vita-Salute San Raffaele University, Milan, Italy.

Andrea Mastrangelo (A)

Vita-Salute San Raffaele University, Milan, Italy.

Antonella Castagna (A)

Vita-Salute San Raffaele University, Milan, Italy.

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Classifications MeSH