Search

Background: Direct-acting antivirals are highly effective for the treatment of hepatitis C virus (HCV) infection, regardless race/ethnicity. We aimed to evaluate demographic, virological and clinical data of HCV-infected migrants vs. natives consecutively enrolled in the PITER cohort. Methods: Migrants were defined by country of birth and nationality that was different from Italy. Mann-Whitney U test, Chi-squared test and multiple logistic regression were used. Results: Of 10,669 enrolled patients, 301 (2.8%) were migrants: median age 47 vs. 62 years, (p < 0.001), females 56.5% vs. 45.3%, (p < 0.001), HBsAg positivity 3.8% vs. 1.4%, (p < 0.05). Genotype 1b was prevalent in both groups, whereas genotype 4 was more prevalent in migrants (p < 0.05). Liver disease severity and sustained virologic response (SVR) were similar. A higher prevalence of comorbidities was reported for natives compared to migrants (p < 0.05). Liver disease progression cofactors (HBsAg, HIV coinfection, alcohol abuse, potential metabolic syndrome) were present in 39.1% and 47.1% (p > 0.05) of migrants and natives who eradicated HCV, respectively. Conclusion: Compared to natives, HCV-infected migrants in care have different demographics, HCV genotypes, viral coinfections and comorbidities and similar disease severity, SVR and cofactors for disease progression after HCV eradication. A periodic clinical assessment after HCV eradication in Italians and migrants with cofactors for disease progression is warranted.

Persons living with HIV should remain on antiretroviral therapy (ART) indefinitely; however, a switch in the drug regimen is often necessary. In order to investigate if reasons for switching ART changed over time, we retrospectively analyzed reasons for switching and characteristics of switches among patients at Santa Maria Annunziata Hospital (OSMA), Florence area, Tuscany, Italy, over two periods (November 2012–October 2013 and November 2014–October 2015). The reasons for switching were classified as: simplification; virologic failure; occurrence of co-morbidities; and drug tolerability/toxicity issues. In period 1 (2012–2013), 18% patients changed their regimen vs. 13.5% in period 2 (2014–2015) (p = 0.019). Among reasons for switching, switches for simplification significantly increased from 41% in period 1 to 53% in period 2 (p = 0.004), with an increasing use of single tablet regimens (p = 0.002); no other statistically significant differences were found in other reasons for switching in periods 1 and 2. Characteristics of patients and of switches were analyzed and described. According to our data, the main reason for switching is now simplification, reflecting the recent changes in recommendations aimed to enhance adherence and quality of life, and to minimize, at the same time, drug toxicity and side effects.

Human immunodeficiency virus (HIV-1)-infected patients frequently harbour hepatitis B and C viruses (HBV and HCV, respectively). Possible modifications of the natural history of hepatitis B may occur. The aim of this study was to characterise HBV diversity and evolutionary and mutational viral genome profiles in HIV-1/HBV coinfections. HIV-1 and HBV markers determinations (Roche, FRG; Abbott, USA) and HBV genome-length retrospective analysis were performed in follow-up isolates from patients who were either stably HBsAg-negative with a low level of HBV DNA (occult hepatitis B infection, OBI) or HBsAg-positive with a high level of HBV DNA. Phylogenetic analysis (maximum likelihood method, MEGA5), statistical analysis and evolutionary rates calculation (d S/d N) were applied. Positive selection pressures in the PreS/S region and a significantly higher number of mutations in this region including the major hydrophilic region (MHR) and the “a” determinant were shown in HBsAg-negative (possibly OBI) compared to stably HBsAg-positive HIV-1/HBV subgenotypes D3/A2 coinfected patients. Mutants previously described in HIV-1/HBV coinfected patients were found. Known mutants Y100C, P127T and P120A associated to Y134H and S143T and new S mutants, which may potentially affect HBsAg expression and secretion and anti-HBs binding, were detected in baseline sera persisting up to the end of 9 years follow-up. Known mutations of BCP, Pre-C, C and X regions were also characterised. Natural mutants strictly known as being involved in diagnostic failure were not detected; however, numerous corresponding sites showed amino acid variations. Evolutionary and genotypic differences observed, particularly in the PreS/S region, between HBsAg-negative (OBI) and HBsAg-positive HIV-1/HBV coinfected patients, may contribute, in association with mutations of other genomic regions, to the HBsAg-negative phenotype.

TLRs trigger innate immunity that recognizes conserved motifs of invading pathogens, resulting in cellular activation and release of inflammatory factors. The influence of TLR activation on resistance to HIV-1 infection has not been investigated in HIV-1 exposed seronegative (ESN) individuals. PBMCs isolated from heterosexually ESN individuals were stimulated with agonists specific for TLR3 (poly I:C), TLR4 (LPS), TLR7 (imiquimod), and TLR7/8 (ssRNA40). We evaluated expression of factors involved in TLR signaling cascades, production of downstream effector immune mediators, and TLR-expression in CD4+ and CD14+ cells. Results were compared with those obtained in healthy controls (HCs). ESN individuals showed: 1) comparable percentages of CD14+/TLR4+ and CD4+/TLR8+ CD14+/TLR8+ cells; 2) higher responsiveness to poly I:C, LPS, imiquimod, and ssRNA40 stimulation, associated with significantly increased production of IL-1β, IL-6, TNF-α, and CCL3; 3) augmented expression of mRNA specific for other targets (CCL2, CSF3, CSF2, IL-1α, IL-8, IL-10, IL-12, cyclooxygenase 2) demonstrated by broader TLRs pathway expression analyses; and 4) increased MyD88/MyD88s(short) ratio, mainly following TLR7/8 stimulation. We also compared TLR–agonist-stimulated cytokine/chemokine production in CD14+ PBMCs and observed decreased IFN-β production in ESN individuals compared with HCs upon TLR7/8-agonist stimulation. These data suggest that TLR stimulation in ESN individuals results in a more robust release of immunologic factors that can influence the induction of stronger adaptive antiviral immune responses and might represent a virus-exposure–induced innate immune protective phenotype against HIV-1.

Objective: To determine the impact of genotypic inhibitory quotient (GIQ) for lopinavir (LPV) in patients failing HAART with limited antiretroviral exposure. Design: Retrospective analysis of a prospective trial. Methods: Lopinavir GIQ was calculated as the ratio between the mean trough concentration (Ctrough) and the number of protease mutations using eight different HIV drug resistance mutation lists or algorithms. Early (by week 12) and confirmed (up to week 24) virological response (HIV-RNA < 400 copies/mL, ECVR) was used as dependent variable in logistic regression model. Results: Seventy-one of 109 (65%) patients achieved ECVR. At multivariable logistic regression analysis, each μg/mL increase of GIQ was correlated with increasing probability of ECVR as far as the following mutations were computed: multi-protease inhibitor (PI) associated mutations listed by IAS (OR = 1.17; 95% CI = 0.99-1.39; P = 0.058), mutations associated with LPV resistance by ANRS algorithm (OR = 1.21; 95% CI = 1.02-1.44; P = 0.03), major mutations associated with LPV resistance by Stanford database (OR = 1.16; 95% CI = 1-1.35; P = 0.05), and the whole set of mutations associated with LPV resistance in the same database (OR = 1.22; 95% CI = 1.02-1.46; P = 0.03). Using ROC curve method, a specific threshold GIQ was assessed, above which this parameter could predict ECVR with the highest sensitivity (74.6% with GIQ obtained through Stanford LPV mutations) or specificity (89.5% with GIQ obtained through ANRS LPV mutations). Conclusions: Our results suggest that increasing GIQ can improve virological outcome even in patients with limited exposure to PIs. Further studies are necessary to understand what HIV protease mutations should be considered and whether such mutations should be weighted differently to improve LPV GIQ predictive value. © 2005 Elsevier B.V. All rights reserved.

A total of 347 pol gene sequences from 88 Tuscan and 259 Apulian subjects (including 52 non-Italians and 9 children) were analyzed phylogenetically. Forty-four (12.6%) non-B subtypes were found, including 3.4% C, 1.4% F1, 0.8% G, and 0.3% each for J and A pure subtypes, and 3.7% CRF02_AG, 1.4% CRF01_AE, 0.6% BF, and 0.3% CRF06-cpx recombinant forms. An additional sample close-matched the pol gene of an unique recombinant form (URF AGK 99GR303). The non-B subtypes were from 40 adults and 4 children; 12 of these 44 patients were epidemiologically linked. Thirty-three of the 44 non-B viruses pertained to non-Italian immigrants and 11 to Italians, signifying that 63.4% immigrants and 3.7% Italians harbored non-B subtypes. The overall frequency of non-B subtypes was higher in Tuscany than in Apulia (18.1% vs. 10.8%). Moreover, 6.1% and 3.0% non-B subtypes were found among Italians from Florence and Apulia, respectively, while 52.1% and 72.4% of immigrants living in Tuscany and Apulia harbored non-B subtypes. Women infected by means of sexual contact prevailed among non-Italian adults; the majority of Italians were males and admitted high-risk sexual behavior. Four Italians had a history of extensive travel in countries of high endemicity. Social and epidemiological changes are responsible for an increasing circulation of non-B subtypes in Italy. Although non-B subtypes principally infect non-Italian patients, in Italy they can no longer be considered exclusively restricted to subjects from endemic areas.

Human alpha defensins 1, 2, and 3 are produced by CD8 T cells of HIV-infected long-term nonprogressors and have an antiviral activity. alpha Defensins were examined in peripheral blood mononuclear cells (PBMCs), cervical-vaginal mononuclear cells (CVMCs), and cervical biopsies of 9 HIV-1-exposed but uninfected women (ESNs), 10 HIV-infected patients (HIV), and 13 low-risk healthy controls (HCs). Results showed that, whereas alpha defensin production and alpha defensin-expressing CD8 lymphocytes were comparable in ESNs and HIV patients, constitutive alpha defensin production by peripheral CD8 and CVMCs was augmented in ESNs compared with HCs (P = 0.001 and P = 0.058, respectively); alpha defensin mRNA was increased in PBMCs of ESNs; unstimulated, alpha defensin-expressing peripheral and mucosal CD8 lymphocytes were 10-fold higher in ESNs compared with HCs (P = 0.003 and P = 0.01, respectively); and alpha defensin mRNA and alpha defensin-expressing cells were augmented in cervical biopsies of ESN compared with HCs (mRNA:P = 0.03). The differences were reduced upon in vitro mitogen stimulation. A robust constitutive production of alpha defensin is seen in HIV-exposed uninfected individuals; these peptides could have a role in the potentially protective immune response that characterizes ESNs.

We compared 2 rules-based genotype interpretation systems and real or virtual phenotype through a retrospective analysis of a prospective trial. Genotypes were determined with VircoGEN II (VIRCO) and were interpreted with either RetroGram 1.4 or TRUGENE HIV-1 (guidelines 3.0) or original virtual phenotype (Virtual Phenotype; VIRCO), as available in the year 2000. Among 188 human immunodeficiency virus (HIV) type 1 isolates, overall concordance (kappa agreement) was observed for the 2 rules-based systems, whereas striking discordances were noted between them and real and virtual phenotype interpretations for stavudine, didanosine, zalcitabine, abacavir, and amprenavir (kappa

Background: Tenofovir with full-dose didanosine has been associated with paradoxical CD4+ T cell decrease despite virological suppression. We investigated whether tenofovir plus didanosine at a weight-adjusted dosage could be responsible for such an effect, and factors associated with CD4+ T cell count evolution under this combination. Methods: This was a prospective observational multicohort study (Italian MASTER and Spanish Hospital Carlos III HIV cohorts). Patients with HIV plasma viral load suppression for ≥6 months who switched to an antiretroviral combination including tenofovir plus didanosine were studied, as long as virological success was maintained. CD4+ T cell count variations over time (slopes) were compared before and after switching to tenofovir plus didanosine using linear mixed models and segmented regression analysis. Results: Annual time-weighted CD4+ T cell count slope did not change significantly after the prescription of tenofovir plus didanosine: it was 14 cells/mm3 [95% confidence interval (CI) - 7 to 35] from month -24 to month -12, 12 cells/mm3 (95% CI -14 to 38) from month -12 to the time of switching, 30 cells/mm3 (95% CI 5-55) from switching to month 112 and 15 cells/mm3 (95% CI -8 to 39) from month +12 to month +24 after switching to tenofovir plus didanosine. No significant change in the slope of the segment after the switch to tenofovir plus didanosine-containing regimens when compared with the segment preceding the intervention was found (CD4+ T cell count slope change: 24 cells/mm3; 95% CI -10 to 58). Similar results were obtained using CD4+ T cell percentage over total lymphocytes. The significant independent predictors of lower CD4+ T cell count slope were older age (P = 0.006), lower nadir CD4+ T cell count (P < 0.001) and positive hepatitis C virus antibody (P = 0.03). Moreover, reduced estimated creatinine clearance was an additional independent predictor of lower CD4+ T cell count slope (P = 0.02), but only after excluding nadir CD4+ T cell count. Conclusions: Tenofovir plus didanosine (weight-adjusted dosage) was not associated with paradoxical CD41 T cell decrease in our patients maintaining undetectable HIV plasma viral load for a maximum of 24 months after switching. Several factors could explain variability in CD4+ T cell count evolution in these patients. © The Author 2007. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved.

Data from 197 patients for whom highly active antiretroviral therapy (HAART) failed, who started a new regimen chosen under the guide of resistance testing results interpreted by experts, were retrospectively studied, provided that at least 2 determinations of adherence and plasma drug concentrations were performed during the follow-up. Univariate and multivariable logistic regression analyses were conducted, using confirmed virologie response at week 24 as outcome measure (i.e., achievement of undetectable HIV plasma viral load at any time point before week 24 and its maintenance up to week 24). Suboptimal drug concentrations (odds ratio [OR]: 0.3; 95% confidence interval [CI] 0.2-0.7; p = 0.006) and suboptimal adherence (OR: 0.4; 95% CI 0.2-0.8; p = 0.014) were both negative independent predictors of sustained virologic response, while the use of boosted protease inhibitor-containing regimens resulted to be protective (OR: 2.4; 95% CI 1.1-5.3; p = 0.032). © Mary Ann Liebert, Inc.

This retrospective longitudinal cohort study compared the virological and immunological responses to highly active antiretroviral therapy containing either efavirenz or lopinavir/ritonavir in previously antiretroviral-naive HIV-infected patients.A total of 472 patients were selected (348 efavirenz and 124 lopinavir/ritonavir). The primary endpoint of this study was virological success (HIV RNA50 copies/mL). The immunological response was assessed on the basis of either CD4+ T cell count variations (absolute and percentage) with respect to baseline values or categorical endpoints (defined as either a CD4+ T cell increase ofor =1;50 cells/mm(3) at week 24 or ofor =1;75 cells/mm(3) at week 48).At intention-to-treat (ITT) analysis, the adjusted odds ratio of virological success for patients who started lopinavir/ritonavir, compared with those who started efavirenz, was 0.54 (95% CI: 0.33-0.89, P = 0.016) at week 24 and 0.40 (95% CI: 0.33-0.89, P = 0.002) at week 48. However, patients receiving lopinavir/ritonavir had a more pronounced CD4+ T cell recovery, demonstrating both a mean absolute and percentage increase up to week 48 (MANOVA P0.0001).Although comparisons of drug efficacy in non-randomized studies should be viewed with caution, from a virological point of view efavirenz-containing regimens performed as well (on-treatment analysis) or better (ITT analysis) than those containing lopinavir/ritonavir. In contrast, immunological outcome appeared to favour lopinavir/ritonavir.

We compared viroimmunologic response after real phenotype (r-PHT) versus virtual phenotype (v-PHT) in patients failing highly active antiretroviral therapy (HAART). A total of 201 patients with2 years of exposure, more than six experienced drugs,1000 HIV RNA copies/mL, and on stable HAART for6 months were randomized to the r-PHT or v-PHT arm. The primary end point was the proportion of HIV plasma viral load (pVL)400 copies/mL. Secondary end points were absolute pVL change, proportion of pVL reduction0.5 log(10) copies/mL, and absolute CD4 cell change. In the intention-to-treat-last observation carried forward analysis, study outcomes were not significantly different between arms over 48 weeks of follow-up: 20% and 24% pVL400 copies/mL; 58% and 61% pVL reduction0.5 log(10) copies/mL; -0.92 and -0.94(10) log copies/mL mean pVL decrease; and +41.6 and +94.4 cells/mm(3) mean absolute CD4 increase in the r-PHT and v-PHT arms, respectively. On-treatment analyses gave similar results. In the multivariate analysis of pVL400 copies/mL, the following covariates were independent predictors at week 48: adherence (OR p= 0.25; p=.002), baseline CD4 (OR = 4.39; p=.007), intravenous drug use as risk factor for HIV acquisition (OR = 0.33; p=.024), and sensitivity score of the new regimens by biologic cut-offs (OR = 1.84; p=.029). Prescribed drugs for which patients were naive resulted in marginal prediction (OR = 1.93; p=.054). In conclusion, virologic and immunologic outcomes did not differ when r-PHT or v-PHT was used in this cohort of heavily pretreated patients. Several factors should be considered to take better advantage of resistance testing, including treatment history, clinical status, and patients' ability to adhere to treatment.

Increased lopinavir (LPV) exposure obtained in vivo through combination with low-dose ritonavir may overcome a certain grade of resistance but not all. We sought to analyze LPV variability and possible risk factors. LPV trough plasma concentrations were determined by high-performance liquid chromatography after 1, 4, and 12 weeks from salvage regimens and tested in both univariate and multivariate regression analyses with age, gender, weight, risk factors for HIV acquisition, hepatitis C virus reactivity, hepatitis B surface antigen positivity, baseline aspartate transferase (AST) or alanine transferase (ALT) levels, creatinine, non-nucleoside reverse transcriptase inhibitors (NNRTIs) or tenofovir as concomitant drugs, and NNRTIs administered in the previous regimen. Fifty-six patients were included into the study. Among them, 8 of 56 (14.3%) at week 1, 12 of 56 (21.4%) at week 4, and 9 of 56 (16.1%) at week 12 had suboptimal LPV plasma concentrations, defined as trough concentration less than 4 microg/mL. No correlation was found between LPV trough concentrations and assessed variables. In conclusion, pharmacokinetic variability and low LPV concentrations have been found, supporting the use of therapeutic drug monitoring in those starting this drug.

Background: Repeated exposure to HIV is not always associated with infection and multiple cohorts of HIV-exposed but seronegative individuals (ESN) have been described. HIV-specific CD4 and CD8 T lymphocytes are detected both in HIV patients and in ESN; we verified whether different patterns of HIV-specific memory T lymphocytes would be detected in individuals in whom exposure to HIV results or does not result in infection. Methods: Gag-specific T cells were analysed in 15 ESN, 14 HIV patients, and 15 healthy controls using extensive flow cytometry analysis. Results: Data confirmed that gag-specific T lymphocytes are present in ESN. Gag-specific T cells mainly secrete interleukin-2 in ESN and interferon--/ in HIV patients. In addition the CD4/CD8 and the memory/naive ratios are altered, central memory (45RA-/CCR7+) CD4 and CD8 T lymphocytes are more abundant, and terminally differentiated (45RA+/ CCR7- and 27-/28-) CD8 T lymphocytes are augmented in ESN individuals. Conclusions: Exposure to HIV occurs in high risk seronegative individuals; the observation that naive cells and CM are skewed in ESN indicate that this exposure is robust enough to modulate the CM/EM ratio. The increase in late effectors and in natural killer cells seen in ESN suggests a role for these cells in preventing actual infection.