D.A.M.C. van de Vijver

The Calculated Genetic Barrier for Antiretroviral Drug Resistance Substitutions Is Largely Similar for Different HIV-1 Subtypes

Background: The genetic barrier, defined as the number of mutations required to overcome drug-selective pressure, is an important factor for the development of HIV drug resistance. Because of high variability between subtypes, particular HIV-1 subtypes could have different genetic barriers for drug resistance substitutions. This study compared the genetic barrier between subtypes using some 2000 HIV-1 sequences (>600 of non-B subtype) isolated from anti-retroviral-naive patients in Europe. Methods: The genetic barrier was calculated as the sum of transitions (scored as 1) and/or transversions (2.5) required for evolution to any major drug resistance substitution. In addition, the number of minor protease substitutions was determined for every subtype. Results: Few dissimilarities were found. An increased genetic barrier was calculated for I82A (subtypes C and G), V108I (subtype G), V118I (subtype G), Q151M (subtypes D and F), L210W (subtypes C, F, G, and CRF02_AG), and P225H (subtype A) (P < 0.001 compared with subtype B). A decreased genetic barrier was found for I82T (subtypes C and G) and V106M (subtype C) (P < 0.001 vs subtype B). Conversely, minor protease substitutions differed extensively between subtypes. Conclusions: Based on the calculated genetic barrier, the rate of drug resistance development may be similar for different HIV-1 subtypes. Because of differences in minor protease substitutions, protease inhibitor resistance could be enhanced in particular subtypes once the relevant major substitutions are selected.

Profiling of humoral immune responses to influenza viruses by using protein microarray

The emergence of pandemic A(H1N1) 2009 influenza showed the importance of rapid assessment of the degree of immunity in the population, the rate of asymptomatic infection, the spread of infection in households, effects of control measures, and ability of candidate vaccines to produce a response in different age groups. A limitation lies in the available assay repertoire: reference standard methods for measuring antibodies to influenza virus are haemagglutination inhibition (HI) assays and virus neutralization tests. Both assays are difficult to standardize and may be too specific to assess possible partial humoral immunity from previous exposures. Here, we describe the use of antigen-microarrays to measure antibodies to HA1 antigens from seven recent and historical seasonal H1, H2 and H3 influenza viruses, the A(H1N1) 2009 pandemic influenza virus, and three avian influenza viruses. We assessed antibody profiles in 18 adult patients infected with A(H1N1) 2009 influenza virus during the recent pandemic, and 21 children sampled before and after the pandemic, against background reactivity observed in 122 persons sampled in 2008, a season dominated by seasonal A(H1N1) influenza virus. We show that subtype-specific and variant-specific antibody responses can be measured, confirming serological responses measured by HI. Comparison of profiles from persons with similar HI response showed that the magnitude and broadness of response to individual influenza subtype antigens differs greatly between individuals. Clinical and vaccination studies, but also exposure studies, should take these findings into consideration, as they may indicate some level of humoral immunity not measured by HI assays.

Stochastic simulation of HIV population dynamics through complex network modelling

We propose a new way to model HIV infection spreading through the use of dynamic complex networks. The heterogeneous population of HIV exposure groups is described through a unique network degree probability distribution. The time evolution of the network nodes is modelled by a Markov process and gives insight in HIV disease progression. The results are validated against historical data of AIDS cases in the USA as recorded by the Center of Disease Control. We find a remarkably good correspondence between the number of simulated and registered HIV cases, indicating that our approach to modelling the dynamics of HIV spreading through a sexual network is a valid approach that opens up completely new ways of reasoning about various medication scenarios.

HIV testing and antiretroviral treatment strategies for prevention of HIV infection: impact on antiretroviral drug resistance

Abstract.  Nichols BE, Boucher CAB, van de Vijver DAMC (Erasmus Medical Centre, Erasmus University, Rotterdam, the Netherlands). HIV testing and antiretroviral treatment strategies for prevention of HIV infection: impact on antiretroviral drug resistance (Symposium). J Intern Med 2011; doi: 10.1111/j.1365‐2796.2011.02456.x.

Diagnostic performance of influenza viruses and RSV rapid antigen detection tests in children in tertiary care

Abstract Background Rapid antigen detection tests (RADTs) are increasingly used to detect influenza viruses and respiratory syncytial virus (RSV). However, their sensitivity and specificity are a matter of debate, challenging their clinical usefulness. Objectives Comparing diagnostic performances of BinaxNow Influenza AB® (BNI) and BinaxNow RSV® (BNR), to those of real-time reverse transcriptase PCR (RT-PCR), virus isolation and direct immunofluorescence (D-IF) in paediatric patients. Study design Between November 2005 and September 2013, 521 nasal washings from symptomatic children (age <5 years) attending our tertiary care centre were tested, with a combination of the respective assays using RT-PCR as gold standard. Results Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of BNI were 69% (confidence interval [CI] [51–83]), 96% [94–97], 55% [39–70] and 98% [96–99] respectively. Of eleven false-negative samples, RT-PCR Ct-values were higher than all RT-PCR positive test results (27 vs 22, p=0.012). Of twenty false-positive samples, none were culture positive and two tested positive in D-IF. Sensitivity, specificity, PPV and NPV for BNR were 79% [73–85], 98% [96–99], 97% [93–99] and 88% [84–91]. Of the 42 false-negative samples the median Ct-value was higher than that of all RT-PCR positive samples (31 vs 23, p<0.0001). Five false-positive samples were detected. Three of these tested positive for RSV in virus isolation and D-IF. Conclusions RADTs have a high specificity with BNR being superior to BNI. However, their relative low sensitivity limits their usefulness for clinical decision making in a tertiary care paediatric hospital.

A15 HIV-1 whole-genome NGS analysis to characterize virus evolution following dendritic cell immunotherapy and analytical treatment interruption

A14 Ultra-wide and ultra-deep sequencing increases the detection rate of dual HIV-1 infections and recombinants K. Van Laethem, A. Thielen, Y. Schrooten, F. Ferreira, L. Vinken, and M. Daümer KU Leuven, Department Microbiology and Immunology, Rega Institute for Medical Research, Leuven, Belgium, AIDS Reference Laboratory, University Hospitals Leuven, Leuven, Belgium and Institute of Immunology and Genetics, Kaiserslautern, Germany

A longitudinal and cross-sectional study ofEpstein-Barr virus DNA load: a possible predictor of AIDS-related lymphoma in HIV-infected patients

Abstract Introduction: HIV-infected patients are more than 100-fold greater at risk for developing malignant AIDS-related lymphoma (ARL) compared to the general population. Most ARLs are EBV related. The main purpose of this study was to investigate whether a high peak EBV DNA load in HIV-infected patients is predictive of ARL, including classical Hodgkin lymphoma. Methods: From an ongoing prospective HIV positive cohort study, we conducted a case-control study between 2004 and 2016 among patients from whom at least one EBV DNA load in serum or plasma was available. We compared peak EBV DNA load between patients with (49 cases) and without ARL (156 controls). Results: The geometric mean of the peak EBV DNA load measured before diagnosis of malignant lymphoma was 52,565 IU/mL in EBER-positive lymphoma patients vs. 127 IU/mL in controls (p < .001). Patients with EBV DNA loads >100,000 IU/mL have an increased risk for diagnosis of malignant lymphoma compared to patients with EBV DNA loads ≤100,000 IU/mL (adjusted OR 12.53; 95%CI: 4.08; 38.42). In the longitudinal study, including 13 patients with at least three left-over plasma samples available for retesting, measurements of EBV-DNA during the preceding 12 months proved to be of poor value for predicting subsequent lymphoma diagnosis. Conclusions: A EBV DNA load >100,000 IU/mL can be useful in clinical setting to accelerate time to diagnosis and treatment. EBV-DNA loads in samples taken during the preceding year of ARL diagnosis showed to be of poor predictive value.