A 2013 workshop: vaccine and drug ontology studies (VDOS 2013)

The 2013 “Vaccine and Drug Ontology Studies” (VDOS 2013) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have contributed to dramatic improvements in public health worldwide. Over the last decade, tremendous efforts have been made in the biomedical ontology community to ontologically represent various areas associated with vaccines and drugs – extending existing clinical terminology systems such as SNOMED, RxNorm, NDF-RT, and MedDRA, as well as developing new models such as Vaccine Ontology. The VDOS workshop series provides a platform for discussing innovative solutions as well as the challenges in the development and applications of biomedical ontologies for representing and analyzing drugs and vaccines, their administration, host immune responses, adverse events, and other related topics. The six full-length papers included in this thematic issue focuses on three main areas: (i) ontology development and representation, (ii) ontology mapping, maintaining and auditing, and (iii) ontology applications

OAE: The Ontology of Adverse Events

A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data

OAE: The Ontology of Adverse Events

A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data

Vaccine semantics : Automatic methods for recognizing, representing, and reasoning about vaccine-related information

Post-marketing management and decision-making about vaccines builds on the early detection of safety concerns and changes in public sentiment, the accurate access to established evidence, and the ability to promptly quantify effects and verify hypotheses about the vaccine benefits and risks. A variety of resources provide relevant information but they use different representations, which makes rapid evidence generation and extraction challenging. This thesis presents automatic methods for interpreting heterogeneously represented vaccine information. Part I evaluates social media messages for monitoring vaccine adverse events and public sentiment in social media messages, using automatic methods for information recognition. Parts II and III develop and evaluate automatic methods and res

Genetic diversity in Trypanosoma cruzi: marker development and applications; natural population structures, and genetic exchange mechanisms

Chagas disease remains the most important parasitic infection in Latin America. The aetiological agent, Trypanosoma cruzi (Kinetoplastida: Trypanosomatidae), is a complex vector-borne zoonosis transmitted in the faeces of hematophagous triatomine bugs (Hemiptera: Reduviidae: Triatominae), and maintained by mammalian reservoir hosts ranging from the southern United States to Argentinean Patagonia. In the absence of chemotherapy, infection is life-long and can lead to a spectrum of pathological sequelae ranging from subclinical to lethal cardiac and/or gastrointestinal complications in up to 30% of patients. T. cruzi displays remarkable genetic diversity, which has long been suspected to contribute to the considerable variation in clinical symptoms observed between endemic regions. Currently, isolates of T. cruzi can be assigned to a minimum of six stable genetic lineages or discrete typing units (DTUs) (TcI-TcVI), which are broadly associated with disparate ecologies, transmission cycles and geographical distributions. The principal mode of reproduction among T. cruzi strains is the subject of an intense, decades-old debate. Despite the existence of two recent natural hybrid lineages (TcV and TcVI), which resemble meiotic F1 progeny, a pervasive view is that recombination has been restrained at an evolutionary scale and is of little epidemiological relevance to contemporary parasite populations. The aim of this PhD project was to investigate T. cruzi genetic diversity through significant development of phylogenetic markers and their application to the characterization of natural parasite population structures and genetic exchange mechanisms. Multiple, single-copy, chromosomally-independent, nuclear housekeeping genes were assessed initially for their ability to allocate isolates to DTU-level, to facilitate higher resolution intra-lineage analyses and finally for their inclusion alongside additional targets in a standardized T. cruzi multilocus sequence typing (nMLST) scheme. For the immediate future, nuclear MLST, using a panel of four to seven nuclear loci, is a robust, reproducible and highly discriminatory method that has potential to become the new gold standard for T. cruzi DTU assignment. To investigate natural parasite population structures and uncover evidence of genetic exchange, a high resolution mitochondrial MLST (mtMLST) scheme, based on ten gene fragments, was developed and evaluated against current nuclear markers (multilocus microsatellite typing; MLMT) using isolates belonging to the oldest and most widely distributed lineage (TcI). Observations of gross nuclear-mitochondrial phylogenetic incongruence indicate that recombination is ongoing, geographically widespread and continues to influence natural populations, challenging the traditional paradigm of clonality in T. cruzi. Application of this combined nuclear-mitochondrial methodology to intensively sampled, minimally-subdivided TcI populations revealed extensive mitochondrial introgression within a disease focus in North-East Colombia as well as among arboreal transmission cycles in Bolivia. Failure to detect any reciprocal nuclear hybridization among recombinant strains ! 4 may be indicative of alternate, cryptic mating strategies in T. cruzi, which are challenging to reconcile with both in vitro parasexual mechanisms of genetic exchange described, and patterns of Mendelian allele inheritance among natural hybrid DTUs. High resolution genotyping of TcI populations was also undertaken to explore the interaction between parasite genetic heterogeneity and ecological biodiversity, exposing the significant impact human activity has had on T. cruzi evolution. Reduced genetic diversity, accelerated parasite dissemination between densely populated areas and mitochondrial gene flow between domestic and sylvatic populations, suggests humans may have played a crucial role in T. cruzi dispersal across the Bolivian highlands. Parallel reductions in genetic diversity were observed among isolates from the Brazilian Atlantic Forest, attributable to ongoing anthropogenic habitat fragmentation. By comparison domestic TcI isolates (TcIDOM) are divergent from their sylvatic counterparts, but also genetically homogeneous, and likely to have originated in North/Central America before distribution southwards. Molecular dating of Colombian TcIDOM clones confirmed that this clade emerged 23,000 ± 12,000 years, coinciding with the earliest human migration into South America. Lastly, Illumina amplicon deep sequencing markers were developed to explore the interaction between parasite multiclonality and clinical status of chronic Chagas disease. An unprecedented level of intra-host genetic diversity was detected, highlighting putative diversifying selection affecting antigenic surface proteases, which may facilitate survival in the mammalian host. In lieu of comparative genomics of representative T. cruzi field isolates, not yet a reality, as is the case with other more experimentally-tractable trypanosomatids, presented herein are some of the highest resolution genotyping techniques developed in T. cruzi to date, which have the potential to expand our current understanding of parasite genetic diversity and its relevance to clinical outcome of Chagas disease