Aurélie Velay

Naturally Occurring Resistance-Associated Variants of Hepatitis C Virus Protease Inhibitors in Poor Responders to Pegylated Interferon-Ribavirin

ABSTRACT The pretherapeutic presence of protease inhibitor (PI) resistance-associated variants (RAVs) has not been shown to be predictive of triple-therapy outcomes in treatment-naive patients. However, they may influence the outcome in patients with less effective pegylated interferon (pegIFN)-ribavirin (RBV) backbones. Using hepatitis C virus (HCV) population sequence analysis, we retrospectively investigated the prevalence of baseline nonstructural 3 (NS3) RAVs in a multicenter cohort of poor IFN-RBV responders (i.e., prior null responders or patients with a viral load decrease of <1 log IU/ml during the pegIFN-RBV lead-in phase). The impact of the presence of these RAVs on the outcome of triple therapy was studied. Among 282 patients, the prevalances (95% confidence intervals) of baseline RAVs ranged from 5.7% (3.3% to 9.0%) to 22.0% (17.3% to 27.3%), depending to the algorithm used. Among mutations conferring a >3-fold shift in 50% inhibitory concentration (IC50) for telaprevir or boceprevir, T54S was the most frequently detected mutation (3.9%), followed by A156T, R155K (0.7%), V36M, and V55A (0.35%). Mutations were more frequently found in patients infected with genotype 1a (7.5 to 23.6%) than 1b (3.3 to 19.8%) (P = 0.03). No other sociodemographic or viroclinical characteristic was significantly associated with a higher prevalence of RAVs. No obvious effect of baseline RAVs on viral load was observed. In this cohort of poor responders to IFN-RBV, no link was found with a sustained virological response to triple therapy, regardless of the algorithm used for the detection of mutations. Based on a cross-study comparison, baseline RAVs are not more frequent in poor IFN-RBV responders than in treatment-naive patients and, even in these difficult-to-treat patients, this study demonstrates no impact on treatment outcome, arguing against resistance analysis prior to treatment.

Hepatitis C Virus Envelope Glycoprotein Signatures Are Associated With Treatment Failure and Modulation of Viral Entry and Neutralization

BACKGROUND A major challenge for antiviral treatment of hepatitis C virus (HCV) infection is viral resistance, potentially resulting from the high variability of HCV envelope glycoproteins and subsequent selection of strains with enhanced infectivity and/or immune escape. METHODS We used a bioinformatics and functional approach to investigate whether E1/E2 envelope glycoprotein structure and function were associated with treatment failure in 92 patients infected with HCV genotype 1. RESULTS Bioinformatics analysis identified 1 sustain virological response (R)-related residue in E1 (219T) and 2 non-SVR (NR)-related molecular signatures in E2 (431A and 642V) in HCV genotype 1a. Two of these positions also appeared in minimal networks separating NR patients from R patients. HCV pseudoparticles (HCVpp) expressing 431A and 642V resulted in a decrease in antibody-mediated neutralization by pretreatment sera. 431A/HCVpp entry into Huh7.5 cells increased with overexpression of CD81 and SR-BI. Moreover, an association of envelope glycoprotein signatures with treatment failure was confirmed in an independent cohort (Virahep-C). CONCLUSIONS Combined in silico and functional analyses demonstrate that envelope glycoprotein signatures associated with treatment failure result in an alteration of host cell entry factor use and escape from neutralizing antibodies, suggesting that virus-host interactions during viral entry contribute to treatment failure.

Characterization of hepatitis B virus surface antigen variability and impact on HBs antigen clearance under nucleos(t)ide analogue therapy

For hepatitis B virus (HBV)‐related chronic infection under treatment by nucleos(t)ide analogues (NUCs), HBsAg clearance is the ultimate therapeutic goal but very infrequent. We investigated how HBV envelope protein variability could lead to differential HBsAg clearance on NUCs. For 12 HBV genotype D patients receiving NUCs, six resolvers (HBsAg clearance) were compared to six matched nonresolvers (HBsAg persistence). PreS/S amino acid (aa) sequences were analysed with bioinformatics to predict HBV envelope antigenicity and aa covariance. To enrich our analyses on very rare resolvers, these were compared with other HBV genotype D strains in three characterized clinical cohorts including common chronically infected patients. The sT125M+sP127T combination was observed in four nonresolvers of six, corroborated by aa covariance analysis, associated with a lower predicted antigenicity than sT125T+sP127P. Concordant features within this HBV key functional domain, at positions 125 and 127, were reported from two of the three comparative cohorts. In our hands, a lower ELISA reactivity of HBV‐vaccinated mice sera was observed against the sT125M mutant. In the S gene, 56 aa changes in minor variants were detected in non‐resolvers, mainly in the major hydrophilic region, vs 28 aa changes in resolvers. Molecular features in patients showing HBsAg persistence on NUCs argue in favour of a different aa pattern in the HBV S gene compared to those showing HBsAg clearance. In nonresolvers, a decrease in HBs ‘a’ determinant antigenicity and more frequent mutations in the S gene suggest a role for the HBV envelope characteristics in HBsAg persistence.

Culture with BACTEC Peds Plus bottle compared with conventional media for the detection of bacteria in tissue samples from orthopedic surgery

We evaluated the performance of the BACTEC Peds Plus bottles for the detection of bacteria in 186 tissue samples obtained from orthopedic infections. BACTEC Peds Plus bottles led to bacterial detection in 69% of these samples against less than 53% for each of the other types of conventional media (P < 0.05). For some patients, the time of detection of pathogens was lower with the BACTEC Peds Plus bottles than with the conventional media.

In Vitro and In Vivo Models for the Study of Human Polyomavirus Infection

Developments of genome amplification techniques have rapidly expanded the family of human polyomaviruses (PyV). Following infection early in life, PyV persist in their hosts and are generally of no clinical consequence. High-level replication of PyV can occur in patients under immunosuppressive or immunomodulatory therapy and causes severe clinical entities, such as progressive multifocal leukoencephalopathy, polyomavirus-associated nephropathy or Merkel cell carcinoma. The characterization of known and newly-discovered human PyV, their relationship to human health, and the mechanisms underlying pathogenesis remain to be elucidated. Here, we summarize the most widely-used in vitro and in vivo models to study the PyV-host interaction, pathogenesis and anti-viral drug screening. We discuss the strengths and limitations of the different models and the lessons learned.

Genotype 1 Hepatitis C Virus Envelope Features That Determine Antiviral Response Assessed through Optimal Covariance Networks

The poor response to the combined antiviral therapy of pegylated alfa-interferon and ribavarin for hepatitis C virus (HCV) infection may be linked to mutations in the viral envelope gene E1E2 (env), which can result in escape from the immune response and higher efficacy of viral entry. Mutations that result in failure of therapy most likely require compensatory mutations to achieve sufficient change in envelope structure and function. Compensatory mutations were investigated by determining positions in the E1E2 gene where amino acids (aa) covaried across groups of individuals. We assessed networks of covarying positions in E1E2 sequences that differentiated sustained virological response (SVR) from non-response (NR) in 43 genotype 1a (17 SVR), and 49 genotype 1b (25 SVR) chronically HCV-infected individuals. Binary integer programming over covariance networks was used to extract aa combinations that differed between response groups. Genotype 1a E1E2 sequences exhibited higher degrees of covariance and clustered into 3 main groups while 1b sequences exhibited no clustering. Between 5 and 9 aa pairs were required to separate SVR from NR in each genotype. aa in hypervariable region 1 were 6 times more likely than chance to occur in the optimal networks. The pair 531–626 (EI) appeared frequently in the optimal networks and was present in 6 of 9 NR in one of the 1a clusters. The most frequent pairs representing SVR were 431–481 (EE), 500–522 (QA) in 1a, and 407–434 (AQ) in 1b. Optimal networks based on covarying aa pairs in HCV envelope can indicate features that are associated with failure or success to antiviral therapy.

Whole-Genome Sequencing of Seven Strains of Staphylococcus lugdunensis Allows Identification of Mobile Genetic Elements

Coagulase negative staphylococci are normal inhabitant of the human skin flora that account for an increasing number of infections, particularly hospital-acquired infections. Staphylococcus lugdunensis has emerged as a most virulent species causing various infections with clinical characteristics close to what clinicians usually observe with Staphylococcus aureus and both bacteria share more than 70% of their genome. Virulence of S. aureus relies on a large repertoire of virulence factors, many of which are encoded on mobile genetic elements. S. lugdunensis also bears various putative virulence genes but only one complete genome with extensive analysis has been published with one prophage sequence (φSL2) and a unique plasmid was previously described. In this study, we performed de novo sequencing, whole genome assembly and annotation of seven strains of S. lugdunensis from VISLISI clinical trial. We searched for the presence of virulence genes and mobile genetics elements using bioinformatics tools. We identified four new prophages, named φSL2 to φSL4, belonging to the Siphoviridae class and five plasmids, named pVISLISI_1 to pVISLISI_5. Three plasmids are homologous to known plasmids that include, amongst others, one S. aureus plasmid. The two other plasmids were not described previously. This study provides a new context for the study of S. lugdunensis virulence suggesting the occurrence of several genetic recombination’ with other staphylococci.

Performance of the Liaison® XL Murex recHTLV-I/II Immunoassay in the Detection of HTLV-1/2 Antibodies in Serum

BACKGROUND Human T-cell lymphotropic virus type 1 and 2 (HTLV-1/2) immunoassays are used for blood screen- ing from blood products, milk, and organ donors. METHODS We assessed the performance of the DiaSorin Liaison® XL murex recHTLV-I/II immunoassay relative to the Abbott Architect® rHTLV-I/II immunoassay and with the Innogenetics immunoblot as confirmation. RESULTS A panel of HTLV positive (n = 66) and negative (n = 30) sera was tested in both techniques within the same freeze/thaw cycle. The specificity and sensitivity of DiaSorin immunoassay were 100% and 78.8%, respectively. Abbott and DiaSorin immunoassays showed a correlation in chemiluminiscent signals to cutoff (S/CO) (Pearson r = 0.92). Half of the samples (34/66) from the seropositive panel were not confirmed by immunoblot (S/CO < 5 in both techniques). CONCLUSIONS Our data confirmed that the DiaSorin Liaison® XL murex recHTLV-I/II immunoassay is an effective platform for HTLV screening. Due to false-positive reaction, especially for samples with low S/CO, each seropositive sample should be confirmed by immunoblot.