The Effects of Angiotensin Converting Enzyme Inhibitors (ACE-I) on Human N-Acetyl-Seryl-Aspartyl-Lysyl-Proline (Ac-SDKP) Levels: A Systematic Review and Meta-Analysis

BACKGROUND: Tuberculous pericardial effusion is a pro-fibrotic condition that is complicated by constrictive pericarditis in 4% to 8% of cases. N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) is a ubiquitous tetrapeptide with anti-fibrotic properties that is low in tuberculous pericardial effusion, thus providing a potential mechanism for the heightened fibrotic state. Angiotensin-converting enzyme inhibitors (ACE-I), which increase Ac-SDKP levels with anti-fibrotic effects in animal models, are candidate drugs for preventing constrictive pericarditis if they can be shown to have similar effects on Ac-SDKP and fibrosis in human tissues. Objective To systematically review the effects of ACE-Is on Ac-SDKP levels in human tissues. METHODS: We searched five electronic databases (1996 to 2014) and conference abstracts with no language restrictions. Two reviewers independently selected studies, extracted data and assessed methodological quality. The protocol was registered in PROSPERO. RESULTS: Four studies with a total of 206 participants met the inclusion criteria. Three studies (106 participants) assessed the change in plasma levels of Ac-SDKP following ACE-I administration in healthy humans. The administration of an ACE-I was associated with an increase in Ac-SDKP levels (mean difference (MD) 5.07 pmol/ml (95% confidence intervals (CI) 0.64 pmol/ml to 9.51 pmol/ml)). Two studies with 100 participants further assessed the change in Ac-SDKP level in humans with renal failure using ACE-I. The administration of an ACE-I was associated with a significant increase in Ac-SDKP levels (MD 8.94 pmol/ml; 95% CI 2.55 to 15.33; I 2 = 44%). CONCLUSION: ACE-I increased Ac-SDKP levels in human plasma. These findings provide the rationale for testing the impact of ACE-I on Ac-SDKP levels and fibrosis in tuberculous pericarditis

myExperiment: a repository and social network for the sharing of bioinformatics workflows

myExperiment (http://www.myexperiment.org) is an online research environment that supports the social sharing of bioinformatics workflows. These workflows are procedures consisting of a series of computational tasks using web services, which may be performed on data from its retrieval, integration and analysis, to the visualization of the results. As a public repository of workflows, myExperiment allows anybody to discover those that are relevant to their research, which can then be reused and repurposed to their specific requirements. Conversely, developers can submit their workflows to myExperiment and enable them to be shared in a secure manner. Since its release in 2007, myExperiment currently has over 3500 registered users and contains more than 1000 workflows. The social aspect to the sharing of these workflows is facilitated by registered users forming virtual communities bound together by a common interest or research project. Contributors of workflows can build their reputation within these communities by receiving feedback and credit from individuals who reuse their work. Further documentation about myExperiment including its REST web service is available from http://wiki.myexperiment.org. Feedback and requests for support can be sent to [email protected]

Longitudinal Predictors of Child Sexual Abuse in a Large Community-Based Sample of South African Youth

Sexual abuse has severe negative impacts on children's lives, but little is known about risk factors for sexual abuse victimization in sub-Saharan Africa. This study examined prospective predictors of contact sexual abuse in a random community-based sample of children aged 10 to 17 years (N = 3,515, 56.6% female) in South Africa. Self-report questionnaires using validated scales were completed at baseline and at 1-year follow-up (96.8% retention rate). Cross-sectional and longitudinal associations between hypothesized factors and sexual abuse were examined. For girls, previous sexual abuse (odds ratio [OR] = 3.44, 95% confidence interval [CI] = [2.03, 5.60]), baseline school dropout (OR = 2.76, 95% CI = [1.00, 6.19]), and physical assault in the community (OR = 2.17, 95% CI = [1.29, 3.48]) predicted sexual abuse at follow-up. Peer social support (OR = 0.84, 95% CI = [0.74, 0.98]) acted as a protective factor. Previous contact sexual abuse was the strongest predictor of subsequent sexual abuse victimization. In addition, peer support moderated the relationship between baseline assault and subsequent sexual abuse. For boys, no longitudinal predictors for sexual abuse victimization were identified. These results indicate that the most vulnerable girls-those not in school and with a history of victimization-are at higher risk for sexual abuse victimization. High levels of peer support reduced the risk of sexual abuse victimization and acted as a moderator for those who had experienced physical assault within the community. Interventions to reduce school drop-out rates and revictimization may help prevent contact sexual abuse of girls in South Africa

Usage and applications of Semantic Web techniques and technologies to support chemistry research

Background: The drug discovery process is now highly dependent on the management, curation and integration of large amounts of potentially useful data. Semantics are necessary in order to interpret the information and derive knowledge. Advances in recent years have mitigated concerns that the lack of robust, usable tools has inhibited the adoption of methodologies based on semantics.Results: This paper presents three examples of how Semantic Web techniques and technologies can be used in order to support chemistry research: a controlled vocabulary for quantities, units and symbols in physical chemistry; a controlled vocabulary for the classification and labelling of chemical substances and mixtures; and, a database of chemical identifiers. This paper also presents a Web-based service that uses the datasets in order to assist with the completion of risk assessment forms, along with a discussion of the legal implications and value-proposition for the use of such a service.Conclusions: We have introduced the Semantic Web concepts, technologies, and methodologies that can be used to support chemistry research, and have demonstrated the application of those techniques in three areas very relevant to modern chemistry research, generating three new datasets that we offer as exemplars of an extensible portfolio of advanced data integration facilities. We have thereby established the importance of Semantic Web techniques and technologies for meeting Wild’s fourth “grand challenge”.<br/

Nomenclature and terminology - standards for materials and processes

Professor Frey will try and highlight some of the issues around nomenclature and terminology that arise when materials and processes need to be described especially in the context of being computer and human readable and processable

Automatic completion of COSHH risk assessment forms using semantic representation of GHS and CLP regulation

The completion of a risk assessment form is a sequence of three events: chemical information discovery and acquisition; chemical information manipulation; and, assessment form template interpolation. For organisations, the costs associated with manual risk assessment are very significant; ranging from the wages of those who complete and review the forms, to the damages paid to those who are affected by any errors. We present a software system that uses Semantic Web technologies to assist with and automate the completion of COSHH risk assessment forms. We use an RDF representation of the GHS and CLP regulation to describe the hazards and precautionary statements that are associated with a library of chemical substances. Aggregating the RDF data for a collection of chemical substances enables the automatic generation of a ready-to-use, human- and machine-readable risk assessment form. The software system is backed by an RDF triple-store and SPARQL endpoint, and fronted by a lightweight, mobile-friendly Web application. We find that the introduction of software systems for automated risk assessment is, on the whole, beneficial to organisations. However, we also encounter a number of new risks, including: the risk that users obtain and utilise the “correct” answer to an “incorrect” question; the risk that users implicitly trust and/or rely upon the software system; and, the risk that the data gathered by the software system could be used to infer the research agendas of both individual users and organisations as a whole. Finally, we report on recent work to implement our software system using the Sigma-Aldrich catalogue as the primary data sourc

Integration of oreChem with the eCrystals repository for crystal structures

This paper describes the integration of the oreChem Core Ontology (CO), a top-level ontology for the description of the planning and enactment of scientific methods, with the eCrystals repository for crystal structures. Records in the eCrystals repository constitute all fundamental and derived data that is obtained as the result of the execution of a crystal structure determination workflow. However, without a machine-readable description of the methodology, the provenance of data in the eCrystals repository cannot be determined. To facilitate the discovery and reuse of data in the correct context, we have described the eCrystals workflow using the CO

myExperiment: a repository and social network for the sharing of bioinformatics workflows

myExperiment (http://www.myexperiment.org) is an online research environment that supports the social sharing of bioinformatics workflows. These workflows are procedures consisting of a series of computational tasks using web services performed on data from its retrieval, integration and analysis, to the visualisation of the results. As a public repository of workflows, myExperiment allows anybody to discover those that are relevant to their research which can then be reused and repurposed to their specific requirements. Conversely, developers can submit their workflows to myExperiment and enable them to be shared in a secure manner. Since its release in 2007, myExperiment currently has over 3500 registered users and contains more than 900 workflows. The social aspect to the sharing of these workflows is facilitated by registered users forming virtual communities bound together by a common interest or research project. Contributors of workflows can build their reputation within these communities by receiving feedback and credit from individuals who reuse their work. Further documentation about myExperiment including its REST web service is available from http://wiki.myexperiment.org. Feedback and requests for support can be sent to [email protected]

A semantic eScience platform for chemistry

The oreChem project, funded by Microsoft Research, is investigating the design and deployment of a semantic-based eScience infrastructure for chemistry. The results of the project include the creation of an ontology that provides the basis for describing the entities and relationships for a scientific experiment, and the implementation of a workflow to combine extracted and in situ information from multiple sources, which provides a framework for computational enhancement of the data and querying thereo