Background: We assessed whether the association between the risk of cerebrospinal fluid escape (CVE) and specific antiretroviral (ARV) classes, such as protease inhibitors, is due to suboptimal pharmacological profile generated by archived resistance-associated mutations (RAMs). Methods: A retrospective multicentric study on 300 adult people with HIV on antiretroviral therapy (ART) and available historical plasma genotype resistance testing (HGRT) for reverse transcriptase (RT) and protease genes between 2001 and 2021. The odds ratio for demographic, clinic-, and ART-related variables and CVE was estimated by multivariable modelling. HGRT-adjusted central nervous system effectiveness penetration (CPE) score was computed in modelling the risk. Results: Median age, plasma VL, and CD4 count were 49 years, <50 copies/mL, and 310 cells/μL. CVE was detected in 51 participants (17.0%). No difference in CVE prevalence was observed according to ART type, number of ARVs or ARV classes. Participants with CVE had more frequently plasma (52.9% vs 32.1%, p=0.005) and CSF RAMs in RT (n=63, 57.1% vs 28.6%, p=0.029), but not in protease gene. The presence of plasma RAMs in RT associated with increased odds of CVE in adjusted analyses (aOR 3.9, p<0.001) and in models restricted to plasma viral load ≤50 copies/mL (n=202; aOR 4.3 , p=0.003). CVE risk decreased by 40% per each point increase in HGRT-adjusted CPE score in multivariable models (p<0.001). Conclusions: Viruses harboring mutations appear to favor CVE and the impact of single ARV classes or type of ART regimens may lose significance when adjusted for the presence and effect of specific RAMs.

Background: Antiretroviral therapy reduces systemic inflammation and immune activation, but not to levels like HIV-negative. Limited drug penetration within tissues has been argued as potential mechanism of persistent inflammation. Data on the role of inflammation on plasma/intracellular (IC) pharmacokinetics (PK) of ARV drugs through to downregulation/expression of cytochrome P450 3A/membrane transport proteins are limited. Aim of this study was to investigate the correlation between inflammation markers and plasma/IC PK of different ARVs regimen in HIV-positive patients. Methods: We included in the study ART-treated HIV+ pts switching to 3 different ARV regimens: 1) DTG-based dual-therapy plus boosted-PIs, 2) DTG-based triple-therapy without PIs, 3) DRV/c-based triple-therapy. Plasma and IC ARV drugs concentration means at the end of dosing interval (T0), IM on samples concomitantly with ARV PK determination: sCD14, CRP, IL-6 and LPS were analysed. Results: 60 samples from pts included in the switching study were used for measuring plasma and IC concentrations of HIV drugs. No significative differences between CRP, sCD14, IL-6 and LPS values in 3 arms of therapy were observed. Significant correlation was observed between tenofovir plasma concentrations and sCD14 (p<0.001), DRV plasma concentration and sCD14 (p=0,07) and DRV IC/plasma ratio and Log10 IL-6 concentrations (p=0.04). Furthermore, in 24 pts on DTG-TT, we observed a negative trend between DTG IC concentrations and sCD14 (p=0.09). Conclusions: Our preliminary data support the hypothesis of lower IC concentrations of DRV and DTG in pts with higher plasma IM, suggesting an interplay between HIV drug penetration and persistent inflammation in cART-treated HIV-positive patients.

Background: No pathogen-specific prognostic biomarkers are yet available for SARS-CoV-2. We sought to assess whether SARS-CoV-2 cycle threshold value (Ct) at diagnosis may predict COVID-19 severity, clinical manifestations and 6-month sequelae. Methods: Hospitalised and outpatient cases were randomly sampled from the diagnoses of March and data collected after 6 months by interview and from the regional database for COVID-19 emergency. Patients were stratified according to their RNA-dependent-RNA-polymerase Ct in the nasal-pharyngeal swab at diagnosis: group A≤20.0, 20.028.0. Disease severity was classified according to a composite scale evaluating hospital admission, worst oxygen support required and survival. Results: One-hundred sixty-eight survivors and thirty-two deceased patients were included: 27.5% in A and B both, 45.0% in C. 90% of patients were symptomatic and 63.7% were hospitalised. Median time from COVID-19 onset to swab collection was 5 days. Lethality, number of comorbidities, disease severity, type and amount of signs and symptoms, as well as 6-month sequelae inversely distributed among the groups with respect to SARS-CoV-2 Ct. After adjusting for confounding, SARS-CoV-2 Ct at diagnosis was still associated with COVID-19-related death (p=0.023), disease severity (p=0.023), amount of signs and symptoms (p<0.01) and presence of sequelae (p<0.01). Conclusions: Early quantification of SARS-CoV-2 along the course of the disease may be a useful predictive marker to inform differential strategies of clinical management and resource allocation.