In studies monitoring disease progression and therapeutic response, it is essential that the method used for hepatitis C virus (HCV) quantification not be influenced by genotypic variability. The branched DNA assay provides a reliable method for the quantification of HCV RNA. A modified set of oligonucleotide probes for the branched DNA assay was developed to enhance the efficiency of binding to genotypic variants of HCV. The improved branched DNA assay (HCV RNA 2.0) yielded highly reproducible quantification of hepatitis C virus RNA and displayed a nearly 600-fold dynamic range in quantification up to 120 Meq of HCV RNA per ml. The quantification limit was set at 0.2 Meg of HCV RNA per ml to ensure a specificity of > or = 95%. With this lowered quantification limit and the enhanced hybridization of the probes, the HCV RNA 2.0 assay exhibited a high level of sensitivity (96%) and was virtually unaffected by the genotypic variability of HCV. The HCV RNA 2.0 assay may be a useful tool for following HCV RNA levels throughout the course of disease, selecting patients for therapy, and evaluating therapeutic response.

There is an increasing need for a practical assay to measure HCV RNA to assess the viral burden in chronic hepatitis C virus (HCV) infection as viral load relates to transmission and therapeutic response. This study evaluates branched DNA (bDNA) signal amplification, a technique that avoids many of the pitfalls of polymerase chain reaction (PCR). The bDNA assay uses a microtitre well format and a series of capture, target and amplification probes that bind RNA to the well and then successively bind oligonucleotides to the RNA and branched DNA molecules to the oligonucleotides. Enzyme-labelled probes are bound to the arms of the bDNA and light output from a chemiluminescent substrate is directly proportional to the amount of starting HCV RNA. Appropriate standards provide direct quantitation. Whereas PCR amplifies the HCV genome, bDNA amplifies the hybridization signal. In testing a standardized, coded panel, bDNA showed 100% specificity and detected five of six sera proven to transmit hepatitis C to the chimpanzee; PCR detected all six infectious sera. Serial samples were measured in two acute and five chronic cases of transfusion-associated hepatitis and in three commercial seroconversion panels. In acute cases, 10(7)-10(8) molecular equivalents per ml (eq per ml) of HCV RNA were detected prior to peak alanine aminotransferase (ALT) activity and then rapidly declined to non-detectable levels. Similar levels of HCV RNA were observed early in the course of two patients who progressed to chronic hepatitis; the chronic course was characterized by diminished, fluctuating and sometimes non-detectable levels of HCV RNA. In two chronic cases, HCV RNA was not detected, or only transiently detected by bDNA, but was present when assayed by PCR. In one chronic case, the periodicity of HCV RNA levels closely paralleled the fluctuations of ALT suggesting a relationship between viral replication and subsequent hepatocellular injury. In testing 50 blood donors whose anti-HCV reactivity was confirmed by a recombinant immunoblot assay (RIBA), HCV RNA was detected by bDNA in 41 (81%), while PCR was positive in 45 (90%); the overall concordance between bDNA and PCR in 100 anti-HCV enzyme immunoassays (EIA) reactive donor samples was 96%.(ABSTRACT TRUNCATED AT 400 WORDS)

Summary.  Background:  Inherited thrombophilias have inconsistently been linked to adverse pregnancy outcomes. Differences in study design, size and population could explain this heterogeneity. Objective:  The aim of the present study was to evaluate if factor (F)V Leiden G1691A, prothrombin mutation G20210A (PTM) and methylenetetrahydrofolate reductase C677T (MTHFR) increased the risk of severe preeclampsia, fetal growth restriction, very preterm delivery, placental abruption and a composite of these outcomes also including stillbirth. Patients and methods:  In a nested case–cohort study of pregnant women in Denmark, we genotyped 2032 cases and 1851 random controls. Each of the medical records of the cases was validated. We calculated both genomic and allelic models, and present both models. We also performed sensitivity analyses adjusting for parity, age, smoking, body mass index and socioeconomic status. Results:  In the allelic models, FV Leiden increased the risk of the composite outcome (odds ratio [OR] 1.4, 95% confidence interval [CI] 1.1–1.8), severe preeclampsia (OR 1.6, 95% CI 1.1–2.4), fetal growth restriction (OR 1.4, 95% CI 1.1–1.8) and placental abruption (OR=1.7 (95% CI 1.2–2.4). In the sensitivity analyses, adjustment diminished these estimates slightly. PTM was not significantly associated with any of the outcomes, and MTHFR was only significantly associated with severe preeclampsia (OR 1.3, 95% CI 1.1–1.6). Conclusion:  FV Leiden predisposes to adverse pregnancy outcomes in a setting of Scandinavian women.

BackgroundSupport for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging.ResultsWe developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21–1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775).ConclusionsIntegrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses.Electronic supplementary materialThe online version of this article (doi:10.1186/s12014-015-9090-9) contains supplementary material, which is available to authorized users.

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