The GB Virus C (GBV-C) NS3 Serine Protease Inhibits HIV-1 Replication in a CD4+ T Lymphocyte Cell Line without Decreasing HIV Receptor Expression

Introduction: Persistent infection with GBV-C (GB Virus C), a non-pathogenic virus related to hepatitis C virus (HCV), prolongs survival in HIV infection. Two GBV-C proteins, NS5A and E2, have been shown previously to inhibit HIV replication in vitro. We investigated whether the GBV-C NS3 serine protease affects HIV replication. Results: GBV-C NS3 protease expressed in a human CD4+ T lymphocyte cell line significantly inhibited HIV replication. Addition of NS4A or NS4A/4B coding sequence to GBV-C NS3 increased the effect on HIV replication. Inhibition of HI

Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

Purpose: Effective use of routine data to support integrated chronic disease management (CDM) and population health is dependent on underlying data quality (DQ) and, for cross system use of data, semantic interoperability. An ontological approach to DQ is a potential solution but research in this area is limited and fragmented. Objective: Identify mechanisms, including ontologies, to manage DQ in integrated CDM and whether improved DQ will better measure health outcomes. Methods: A realist review of English language studies (January 2001-March 2011) which addressed data quality, used ontology-based approaches and is relevant to CDM. Results: We screened 245 papers, excluded 26 duplicates, 135 on abstract review and 31 on full-text review; leaving 61 papers for critical appraisal. Of the 33 papers that examined ontologies in chronic disease management, 13 defined data quality and 15 used ontologies for DQ. Most saw DQ as a multidimensional construct, the most used dimensions being completeness, accuracy, correctness, consistency and timeliness. The majority of studies reported tool design and development (80%), implementation (23%), and descriptive evaluations (15%). Ontological approaches were used to address semantic interoperability, decision support, flexibility of information management and integration/linkage, and complexity of information models. Conclusion: DQ lacks a consensus conceptual framework and definition. DQ and ontological research is relatively immature with little rigorous evaluation studies published. Ontology-based applications could support automated processes to address DQ and semantic interoperability in repositories of routinely collected data to deliver integrated CDM. We advocate moving to ontology-based design of information systems to enable more reliable use of routine data to measure health mechanisms and impacts. © 2012 Elsevier Ireland Ltd

A rapid test for the detection of influenza A virus including pandemic influenza A/H1N1 2009

A new rapid diagnostic test for detection of influenza A virus was evaluated with four sets of experiments: first, a comparison with a commercial diagnostic kit against a panel of virus strains was conducted; second, the kit was tested against a collection of 40 strains of influenza A virus isolated from five different host species and 26 strains of other respiratory viruses used as controls; third, the kit was tested against specimens collected in the field obtained from human and chicken; and fourth, the kit was tested against the novel pandemic influenza A/H1N1 2009 clinical specimens obtained from admitted to hospital patients. The test kit displayed a sensitivity of 88% for both human specimens and avian specimens. The corresponding specificity was 99.3% for human specimens and 96.5% for avian specimens. This test kit may be useful for rapid diagnosis of influenza A virus. © 2010.link_to_subscribed_fulltex