Background Given that peginterferon–ribavirin treatment is poorly tolerated, there is interest in the identification of predictors of response, particularly in HIV/hepatitis C virus (HCV)-coinfected patients that respond less than HCV-monoinfected individuals. A single nucleotide polymorphism (SNP) near the IL28B gene (rs12979860) has been shown to predict treatment response in HCV-monoinfected patients carrying genotype 1. Information is lacking for HIV/HCV-coinfected individuals and/or other HCV genotypes. Methods From 650 HIV/HCV-coinfected patients, we identified those who had completed a course of peginterferon–ribavirin therapy with a validated outcome and available repository DNA. The rs12979860 SNP was examined in a blinded fashion. Results A total of 164 patients were included in the final IL28B genotyping analysis, 90 (55%) of whom achieved sustained virological response (SVR). HCV genotype distribution was as follows: HCV-1 58%, HCV-3 31% and HCV-4 11%. Overall, the SVR rate was higher in patients with CC than in those CT/TT genotypes: 56 of 75 (75%) versus 34 of 89 (38%) (P <0.0001). The effect of the SNP was seen in HCV genotypes 1 and 4 but not in HCV genotype 3 carriers. In the multivariable analysis (odds ratio; 95% confidence interval; P value), the rs12979860 CC genotype was a strong predictor of SVR (3.7; 1.6–8.5; 0.002), independent of HCV genotype 3 (8.0; 3.1–21.0; <0.001), serum HCV-RNA less than 600 000 IU/ml (11.9; 3.8–37.4; <0.001) and lack of advanced liver fibrosis (3.5; 1.4–8.9; 0.009). Conclusion The rs12979860 SNP located near the IL28B gene is associated with HCV treatment response in HIV-infected patients with chronic hepatitis C due to genotypes 1 or 4. Thus, IL28B genotyping should be considered as part of the treatment decision algorithm in this difficult-to-treat population.

HIV-1 elite controllers (EC) maintain undetectable viral load (VL) in the absence of antiretroviral treatment. However, these subjects have heterogeneous clinical outcomes including a proportion loosing HIV-1 control over time. In this work we compared, in a longitudinal design, transient EC, analyzed before and after the loss of virological control, versus persistent EC. The aim was to identify factors leading to the loss of natural virological control of HIV-1-infection with a longitudinal retrospective study design. Gag-specific T-cell response was assessed by intracellular poly-cytokine production quantified by flow cytometry. Viral diversity and sequence-dating were performed in proviral DNA by PCR amplification at limiting dilution in and genes. The expression profile of 70 serum cytokines and chemokines was assessed by multiplex immunoassays. We identified transient EC as subjects with low Gag-specific T-cell polyfunctionality, high viral diversity and high proinflammatory cytokines levels before the loss of control. Gag-specific T-cell polyfunctionality was inversely associated with viral diversity in transient controllers before the loss of control (r=-0.8;=0.02). RANTES was a potential biomarker of transient control. This study identified, virological and immunological factors including inflammatory biomarkers associated with two different phenotypes within EC. These results may allow a more accurate definition of EC, which could help in a better clinical management of these individuals and in the development of future curative approaches. There is a rare group of HIV-infected patients who have the extraordinary capacity to maintain undetectable viral load levels in the absence of antiretroviral treatment, the so called HIV-1 elite controllers (EC). However, there is a proportion within these subjects that eventually loses this capability. In this work we found differences in virological and immune factors including soluble inflammatory biomarkers between subjects with persistent control of viral replication and EC that will loss the virological control. The identification of these factors could be a key point for a right medical care of those EC who are going to lose the natural control of viral replication, and for the design of future immunotherapeutic strategies using as a model the natural persistent control of HIV-infection.

HIV-1 disease progression in elite and viremic controllers is frequent. We propose a baseline clinical score to easily classify these patients according to risk of progression. This score could be instrumental for taking clinical decisions and performing pathogenic studies.