Development and assessment of a novel real-time PCR assay for quantitation of hepatitis D virus RNA to study viral kinetics in chronic hepatitis D.

Hepatitis delta virus (HDV) infection is a usually severe type of viral hepatitis associated with increased mortality and rapid evolution to cirrhosis. Currently, treatment is limited to extended interferon administration and measurement of HDV RNA blood levels is essential to judge the response. The aim of this study was to develop a highly sensitive and reproducible real-time reverse transcriptase-polymerase chain reaction (real-time RT-PCR) for the quantitation of circulating HDV RNA of all clades (1-8), and assess its usefulness in the follow-up of patients. The amplification was combined with molecular beacon technology using the LightCycler 2.0 system. The assay was specific and showed linearity over a wide range from 13 to 13 × 10(10) copies/mL. The 95% detection limit was 43.2 copies/mL. Intra-assay reproducibility, as expressed by the coefficient of variation, ranged from 1.84 to 18.61%, whereas the corresponding estimates for the inter-assay variability ranged from 0.57 to 10.18%. Finally, the dynamic profiles of six patients regarding virological (HDV RNA, HBV DNA), biochemical and serological data were constructed. We were able to observe that most patients who were treated with an interferon-based regime showed a significant reduction in delta viremia. In conclusion, our real-time RT-PCR for HDV RNA quantification combines high sensitivity and reproducibility in a high dynamic range, can provide important information for patient management and can be a useful tool for monitoring the response to antiviral therapies.

Development and assessment of a multiplex real-time PCR assay for quantification of human immunodeficiency virus type 1 DNA.

Previous studies showed that high levels of human immunodeficiency virus type 1 (HIV-1) DNA are associated with a faster progression to AIDS, an increased risk of death, and a higher risk of HIV RNA rebound in patients on highly active antiretroviral therapy. Our objective was to develop and assess a highly sensitive real-time multiplex PCR assay for the quantification of HIV-1 DNA (RTMP-HIV) based on molecular beacons. HIV-1 DNA quantification was carried out by RTMP in a LightCycler 2.0 apparatus. HIV-1 DNA was quantified in parallel with CCR5 as a reference gene, and reported values are numbers of HIV-1 DNA copies/10(6) peripheral blood mononuclear cells (PBMCs). The clinical sensitivity of the assay was assessed for 115 newly diagnosed HIV-1-infected individuals. The analytical sensitivity was estimated to be 12.5 copies of HIV-1 DNA per 10(6) PBMCs, while the clinical sensitivity was 100%, with levels ranging from 1.23 to 4.25 log(10) HIV-1 DNA copies/10(6) PBMCs. In conclusion, we developed and assessed a new RTMP-HIV assay based on molecular beacons, using a LightCycler 2.0 instrument. This multiplex assay has comparable sensitivity, reproducibility, and accuracy to single real-time PCR assays.

Development and assessment of a novel real-time PCR assay for quantitation of HBV DNA.

HBV DNA quantitation is used extensively for the monitoring of treatment of hepatitis B virus (HBV) infection. The aim of this study was to develop a highly sensitive and reproducible real-time PCR (RTD-PCR) assay for the quantitation of HBV DNA using the LightCycler system. The performance of this assay was assessed by analyzing serial dilutions of HBV genomic DNA of known concentration and the lower limit of detection was found to be 1 DNA copy/reaction. By using serial dilutions of plasmid standard, RTD-PCR was determined to quantify HBV DNA in a 10-log10 dynamic range. RTD-PCR was found to be more sensitive than the commercially available tests such as the Quantiplex HBV DNA and the AMPLICOR HBV MONITOR assays. The median coefficient of variation of interexperimental variability was 3.2%. The HBV DNA values obtained with RTD-PCR were highly correlated with assays available commercially. These findings suggest that our RTD-PCR assay combines high sensitivity and reproducibility for HBV DNA quantitation in an incomparable high dynamic range of quantitation.

Prevalence, risk factors and evaluation of a screening strategy for chronic hepatitis C and B virus infections in healthy company employees.

A cross-sectional study was carried out in employees of 17 Greek companies with the aim of assessing the prevalence of hepatitis B (HBV) and hepatitis C (HCV) virus, identifying associated prognostic/risk factors and evaluating the effectiveness of a questionnaire as a pre-screening tool. All participants were asked to complete a questionnaire and a random sample of them was asked to provide a blood sample for hepatitis B core antibody (anti-HBc), hepatitis B surface antigen (HBsAg) and antibodies to hepatitis C (anti-HCV) testing. Individual questions or combinations of them were evaluated in terms of their ability to detect HBV or HCV(+) cases. Of 9085 eligible employees, 6074 (67%) completed the questionnaire. Of 990 samples obtained, 19.9% were anti-HBc(+), 2.6% HBsAg(+) and 0.5% anti-HCV(+). All anti-HCV(+) cases had multiple parenteral risk factors. Multiple logistic regression identified associations between anti-HBc and older age, family members with chronic hepatitis, job category and history of transfusion before 1992. HBsAg(+) was associated with older age and history of transfusion before 1992. None of the risk/prognostic factors had sufficient sensitivity and specificity for HBV but report of at least one risk factor identified all HCV(+) cases. Anti-HCV screening of those with at least two parenteral risk factors not only identified all anti-HCV(+) cases but also resulted in 86% decrease in the screening cost. Under the light of recent treatment advances, targeted questionnaire-based screening of asymptomatic people may prove to be a cost-effective way to face hepatitis C.

Comparison of smoothing techniques for CD4 data in a Markov model with states defined by CD4: an example on the estimation of the HIV incubation time distribution.

Multi-state models defined in terms of CD4 counts are useful for modelling HIV disease progression. A Markov model with six progressive CD4-based states and an absorbing state (AIDS) was used to estimate the cumulative probability of progressing to AIDS in 158 HIV-1 infected haemophiliacs with known seroconversion (SC) dates. A problem arising in such analysis is how to define CD4-based states, since this marker is subject to measurement error and short timescale variability. Four approaches were used: no smoothing, ad hoc smoothing (to move to a later/previous state two consecutive measurements to later/previous states are needed), kernel smoothing and random effects (RE) models. The estimates were compared with the Kaplan-Meier estimate based solely on data concerning time to AIDS. There was an apparent lack of agreement between the Kaplan-Meier and the "no smoothing" estimate. With the exception of the "no smoothing" method, "ad hoc", kernel and RE estimates fell within the range of the 95 per cent CIs of the Kaplan-Meier curve. Simulations demonstrated that the use of raw CD4 counts provides overestimated transition intensities. Compared to the kernel method, ad hoc is easier to implement and overcomes the problem of the choice of bandwidth. The RE approach leads to simple models, since it usually results in very few transitions to previous states, and can handle individuals with sparse data by smoothing their predictions towards the population mean. Ad hoc was the method that performed better, in terms of bias, than the other smoothing approaches.