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1.
Bioorg Med Chem ; 21(11): 2903-11, 2013 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-23608108

RESUMO

UNLABELLED: Coronary artery disease (CAD) is a major cause of death in Canada and the United States. Single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is a useful diagnostic test in the management of patients with CAD. The widely used SPECT MPI agents, (99m)Tc sestamibi and (99m)Tc tetrofosmin, exhibit less than ideal pharmacokinetic properties with decreasing uptake with higher flows. (123)I has a similar energy as (99m)Tc, an ideal half life, and is readily available from cyclotrons. The objective of this study was to develop an (123)I labeled MPI agent based on rotenone, a mitochondrial complex I inhibitor, as an alternative to currently available SPECT MPI agents. METHODS: (123)I-CMICE-013 was synthesized by radiolabeling rotenone with (123)I in trifluoroacetic acid (TFA) with iodogen as the oxidizing agent at 60 °C for 45 min, followed by RP-HPLC purification. The product was formulated in 5% EtOH in 10 mM NaOAc pH 6.5. The inactive analog (127)I-CMICE-013 was isolated and characterized by NMR and mass spectrometry, and the structure determined. Micro-SPECT imaging studies were carried out in normal and infarcted rats. Biodistribution studies were performed in normal rats at 2 h (n=6) and 24 h (n=8) post injection (p.i.). RESULTS: (123)I-CMICE-013 was isolated with >95% radiochemical purity and high specific activity (14.8-111 GBq/µmol; 400-3000 mCi/µmol). Structural analysis showed that rotenone was iodinated at 7'-position, with removal of the 6',7'-double bond, and addition of a hydroxy group at 6'-position. MicroSPECT images in normal rats demonstrated homogeneous and sustained myocardial uptake with minimal interference from lung and liver. Absent myocardial perfusion was clearly identified in rats with permanent left coronary artery ligation and ischemia-reperfusion injury. In vivo biodistribution studies in normal rats at 2 h p.i. showed significant myocardial uptake (2.01±0.48%ID/g) and high heart to liver (2.98±0.93), heart to lung (4.11±1.04) and heart to blood (8.37±3.97) ratios. At 24 h p.i., the majority of (123)I-CMICE-013 was cleared from tissues, and a significant amount of tracer was found in the thyroid, indicating in vivo deiodination of the tracer. CONCLUSION: (123)I-CMICE-013 is a promising new radiotracer for SPECT MPI with high myocardial uptake, very good target to background ratios and favorable biodistribution characteristics.


Assuntos
Cromonas/farmacocinética , Coração/diagnóstico por imagem , Compostos Heterocíclicos de 4 ou mais Anéis/farmacocinética , Radioisótopos do Iodo/farmacocinética , Infarto do Miocárdio/diagnóstico por imagem , Imagem de Perfusão do Miocárdio/métodos , Compostos Radiofarmacêuticos/farmacocinética , Traumatismo por Reperfusão/diagnóstico por imagem , Tomografia Computadorizada de Emissão de Fóton Único/métodos , Animais , Cromonas/síntese química , Coração/fisiopatologia , Compostos Heterocíclicos de 4 ou mais Anéis/síntese química , Humanos , Radioisótopos do Iodo/química , Masculino , Infarto do Miocárdio/fisiopatologia , Compostos Radiofarmacêuticos/síntese química , Ratos , Ratos Sprague-Dawley , Traumatismo por Reperfusão/fisiopatologia , Rotenona/química , Sensibilidade e Especificidade , Distribuição Tecidual
2.
J Biomed Inform ; 41(1): 106-23, 2008 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-17512259

RESUMO

One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service-Oriented Architecture (SSOA) for cancer research by the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG).


Assuntos
Biologia Computacional/métodos , Sistemas de Gerenciamento de Base de Dados , Bases de Dados Factuais , Armazenamento e Recuperação da Informação/métodos , Metanálise como Assunto , Modelos Teóricos , Vocabulário Controlado , Internet , National Cancer Institute (U.S.) , Semântica , Estados Unidos
3.
BMC Med Inform Decis Mak ; 6: 2, 2006 Jan 06.
Artigo em Inglês | MEDLINE | ID: mdl-16398930

RESUMO

BACKGROUND: Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented application programming interfaces (APIs). The National Cancer Institute (NCI) developed the cancer common ontologic representation environment (caCORE) to provide the infrastructure necessary to achieve interoperability across the systems it develops or sponsors. The caCORE Software Development Kit (SDK) was designed to provide developers both within and outside the NCI with the tools needed to construct such interoperable software systems. RESULTS: The caCORE SDK requires a Unified Modeling Language (UML) tool to begin the development workflow with the construction of a domain information model in the form of a UML Class Diagram. Models are annotated with concepts and definitions from a description logic terminology source using the Semantic Connector component. The annotated model is registered in the Cancer Data Standards Repository (caDSR) using the UML Loader component. System software is automatically generated using the Codegen component, which produces middleware that runs on an application server. The caCORE SDK was initially tested and validated using a seven-class UML model, and has been used to generate the caCORE production system, which includes models with dozens of classes. The deployed system supports access through object-oriented APIs with consistent syntax for retrieval of any type of data object across all classes in the original UML model. The caCORE SDK is currently being used by several development teams, including by participants in the cancer biomedical informatics grid (caBIG) program, to create compatible data services. caBIG compatibility standards are based upon caCORE resources, and thus the caCORE SDK has emerged as a key enabling technology for caBIG. CONCLUSION: The caCORE SDK substantially lowers the barrier to implementing systems that are syntactically and semantically interoperable by providing workflow and automation tools that standardize and expedite modeling, development, and deployment. It has gained acceptance among developers in the caBIG program, and is expected to provide a common mechanism for creating data service nodes on the data grid that is under development.


Assuntos
Armazenamento e Recuperação da Informação , Informática Médica/métodos , Neoplasias , Integração de Sistemas , Interface Usuário-Computador , Humanos , Internet , National Institutes of Health (U.S.) , Processamento de Linguagem Natural , Linguagens de Programação , Semântica , Design de Software , Unified Medical Language System , Estados Unidos
4.
Bioinformatics ; 19(18): 2404-12, 2003 Dec 12.
Artigo em Inglês | MEDLINE | ID: mdl-14668224

RESUMO

MOTIVATION: Sites with substantive bioinformatics operations are challenged to build data processing and delivery infrastructure that provides reliable access and enables data integration. Locally generated data must be processed and stored such that relationships to external data sources can be presented. Consistency and comparability across data sets requires annotation with controlled vocabularies and, further, metadata standards for data representation. Programmatic access to the processed data should be supported to ensure the maximum possible value is extracted. Confronted with these challenges at the National Cancer Institute Center for Bioinformatics, we decided to develop a robust infrastructure for data management and integration that supports advanced biomedical applications. RESULTS: We have developed an interconnected set of software and services called caCORE. Enterprise Vocabulary Services (EVS) provide controlled vocabulary, dictionary and thesaurus services. The Cancer Data Standards Repository (caDSR) provides a metadata registry for common data elements. Cancer Bioinformatics Infrastructure Objects (caBIO) implements an object-oriented model of the biomedical domain and provides Java, Simple Object Access Protocol and HTTP-XML application programming interfaces. caCORE has been used to develop scientific applications that bring together data from distinct genomic and clinical science sources. AVAILABILITY: caCORE downloads and web interfaces can be accessed from links on the caCORE web site (http://ncicb.nci.nih.gov/core). caBIO software is distributed under an open source license that permits unrestricted academic and commercial use. Vocabulary and metadata content in the EVS and caDSR, respectively, is similarly unrestricted, and is available through web applications and FTP downloads. SUPPLEMENTARY INFORMATION: http://ncicb.nci.nih.gov/core/publications contains links to the caBIO 1.0 class diagram and the caCORE 1.0 Technical Guide, which provide detailed information on the present caCORE architecture, data sources and APIs. Updated information appears on a regular basis on the caCORE web site (http://ncicb.nci.nih.gov/core).


Assuntos
Bases de Dados Factuais/normas , Armazenamento e Recuperação da Informação/métodos , Armazenamento e Recuperação da Informação/normas , Processamento de Linguagem Natural , Neoplasias/classificação , Interface Usuário-Computador , Animais , Biologia Computacional/métodos , Biologia Computacional/normas , Dicionários Médicos como Assunto , Humanos , Internet , National Institutes of Health (U.S.) , Estados Unidos , Vocabulário Controlado
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