1. Integrase strand transfer inhibitor-based regimen is related with a limited HIV-1 V3 loop evolution in clinical practice
- Author
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Francesca Ceccherini-Silberstein, Claudia Alteri, Rossana Scutari, Ada Bertoli, Maria Mercedes Santoro, Carlotta Cerva, Andrea Antinori, Claudio Maria Mastroianni, Caterina Gori, Valentina Svicher, Maurizio Zazzi, Daniele Armenia, Massimo Andreoni, Ilaria Vicenti, Bianca Bruzzone, Carlo Federico Perno, Gabriele Fabbri, and Antonio Cristaudo
- Subjects
Oncology ,v3 ,hiv-1 evolution ,HIV-1 ,HIV-1 evolution ,HIV-1 tropism ,Integrase inhibitors ,V3 ,Drug Resistance ,Integrase inhibitor ,HIV Infections ,hiv-1 ,HIV Integrase ,HIV Envelope Protein gp120 ,Piperazines ,chemistry.chemical_compound ,Heterocyclic Compounds ,Viral ,0303 health sciences ,Elvitegravir ,General Medicine ,Viral Load ,Settore MED/07 - Microbiologia e Microbiologia Clinica ,Drug Resistance, Viral ,Evolution, Molecular ,Genotype ,Heterocyclic Compounds, 3-Ring ,Humans ,Peptide Fragments ,Dolutegravir ,Viral load ,medicine.drug ,Cart ,medicine.medical_specialty ,Pyridones ,Evolution ,Biology ,3-Ring ,hiv-1 tropism ,molecular biology ,genetics ,virology ,03 medical and health sciences ,Virology ,Internal medicine ,Oxazines ,Genetics ,medicine ,Molecular Biology ,030304 developmental biology ,030306 microbiology ,Molecular ,Raltegravir ,Confidence interval ,Regimen ,chemistry - Abstract
Integrase-strand-transfer inhibitors (INSTIs) are known to rapidly reduce HIV-1 plasma viral load, replication cycles, and new viral integrations, thus potentially limiting viral evolution. Here, we assessed the role of INSTIs on HIV-1 V3 evolution in a cohort of 89 HIV-1-infected individuals starting an INSTI- (N = 41, [dolutegravir: N = 1; elvitegravir: N = 3; raltegravir: N = 37]) or a non-INSTI-based (N = 48) combined antiretroviral therapy (cART), with two plasma RNA V3 genotypic tests available (one before [baseline] and one during cART). V3 sequences were analysed for genetic distance (Tajima-Nei model) and positive selection (dN/dS ratio). Individuals were mainly infected by B subtype (71.9%). Median (interquartile-range, IQR) plasma viral load and CD4 + T cell count at baseline were 4.8 (3.5–5.5) log10 copies/mL and 207 (67–441) cells/mm3, respectively. Genetic distance (median, IQR) between the V3 sequences obtained during cART and those obtained at baseline was 0.04 (0.01–0.07). By considering treatment, genetic distance was significantly lower in INSTI-treated than in non-INSTI-treated individuals (median [IQR]: 0.03[0.01–0.04] vs. 0.05[0.02–0.08], p = 0.026). In line with this, a positive selection (defined as dN/dS ≥ 1) was observed in 36.6% of V3 sequences belonging to the INSTI-treated group and in 56.3% of non-INSTI group (p = 0.05). Multivariable logistic regression confirmed the independent correlation of INSTI-based regimens with a lower probability of both V3 evolution (adjusted odds-ratio: 0.35 [confidence interval (CI) 0.13–0.88], p = 0.027) and positive selection (even if with a trend) (adjusted odds-ratio: 0.46 [CI 0.19–1.11], p = 0.083). Overall, this study suggests a role of INSTI-based regimen in limiting HIV-1 V3 evolution over time. Further studies are required to confirm these findings.
- Published
- 2019