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1.
Journal of Biomedical Research ; : 129-133, 2015.
Artículo en Inglés | WPRIM | ID: wpr-155583

RESUMEN

A 5-year-old, 8.95 kg, female Schnauzer presented anorexia with a 3-day history and increased heart sound intensity. Based on the clinical and echocardiographic findings along with the positive blood culture result, the dog was diagnosed with infective endocarditis (IE). Using proper antibiotics treatment, clinical signs were improved within 3 days and resolved within 1 week. For exact identification of the causative agent, multiplex polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism (RFLP) methods were performed. The etiological agent was confirmed as Staphylococcus pseudintermedius with antibiotics resistance genes such as beta-lactamase (blaZ) and methicilline resistance (mecA). The bacterial virulence factors included pyogenic toxin genes such as staphylococcal enterotoxins A, B, C, D, and E and toxic shock syndrome toxin 1. Diagnosis of IE is challenging due to a variety of non-specific clinical presentations, rapid disease progression, and lack of a confirmative diagnostic technique. This report demonstrated that such molecular diagnostics could be very useful for diagnosing and identifying characteristics of the causative organism for prediction of prognosis and proper treatment. To our knowledge, this is the first report on the isolation of S. pseudintermedius using molecular diagnostics from a clinical case of canine IE.


Asunto(s)
Animales , Preescolar , Perros , Femenino , Humanos , Anorexia , Antibacterianos , beta-Lactamasas , Diagnóstico , Progresión de la Enfermedad , Ecocardiografía , Endocarditis , Enterotoxinas , Ruidos Cardíacos , Meticilina , Reacción en Cadena de la Polimerasa Multiplex , Patología Molecular , Pronóstico , Choque Séptico , Staphylococcus , Factores de Virulencia
2.
Experimental & Molecular Medicine ; : 824-831, 2009.
Artículo en Inglés | WPRIM | ID: wpr-174318

RESUMEN

Hu protein R (HuR) binds to the AU-rich element (ARE) in the 3'UTR to stabilize TNF-alpha mRNA. Here, we identified chemical inhibitors of the interaction between HuR and the ARE of TNF-alpha mRNA using RNA electrophoretic mobility gel shift assay (EMSA) and filter binding assay. Of 179 chemicals screened, we identified three with a half-maximal inhibitory concentration (IC(50)) below 10 micrometer. The IC(50) of quercetin, b-40, and b-41 were 1.4, 0.38, and 6.21 micrometer, respectively, for binding of HuR protein to TNF-alpha mRNA. Quercetin and b-40 did not inhibit binding of tristetraprolin to the ARE of TNF-alpha mRNA. When LPS-treated RAW264.7 cells were treated with quercetin and b-40, we observed decreased stability of TNF-alpha mRNA and decreased levels of secreted TNF-alpha. From these results, we could find inhibitors for the TNF-alpha mRNA stability, which might be used advantageously for both the study for post-transcriptional regulation and the discovery of new anti-inflammation drugs.


Asunto(s)
Animales , Ratones , Regiones no Traducidas 3' , Antiinflamatorios/farmacología , Antígenos de Superficie/metabolismo , Antioxidantes/farmacología , Línea Celular , Relación Dosis-Respuesta a Droga , Evaluación Preclínica de Medicamentos , Unión Proteica/efectos de los fármacos , Quercetina/farmacología , Estabilidad del ARN/efectos de los fármacos , Proteínas de Unión al ARN/antagonistas & inhibidores , Factor de Necrosis Tumoral alfa/biosíntesis
3.
Genomics & Informatics ; : 161-166, 2006.
Artículo en Inglés | WPRIM | ID: wpr-91153

RESUMEN

The establishment of DNA microarray technology has enabled high-throughput analysis and molecular profiling of various types of cancers. By using the gene expression data from microarray analysis we are able to investigate diagnostic applications at the molecular level. The most important step in the application of microarray technology to cancer diagnostics is the selection of specific markers from gene expression profiles. In order to select markers of immortalization and transformation we used c-myc and H-ras(V12) oncogene-transfected NIH3T3 cells as our model system. We have identified 8751 differentially expressed genes in the immortalization/transformation model by multivariate permutation F-test (95% confidence, FDR <0.01). Using the support vector machine algorithm, we selected 13 discriminative genes which could be used to predict immortalization and transformation with perfect accuracy. We assayed H-ras(V12)-transfected "transformed" cells to validate our immortalization/transformation classification system. The selected molecular markers generated valuable additional information for tumor diagnosis, prognosis and therapy development.


Asunto(s)
Clasificación , Diagnóstico , Expresión Génica , Análisis por Micromatrices , Análisis de Secuencia por Matrices de Oligonucleótidos , Pronóstico , Transcriptoma , Máquina de Vectores de Soporte
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