RESUMEN
Heparin is used as an anticoagulant drug. The anticoagulation process is mainly caused by the interaction of heparin with antithrombin followed by inhibition of anticoagulant factor IIa and factor Xa. The anti-factor IIa and anti-factor Xa activities of heparin are critical for its anticoagulant effect; however, physicochemical methods that can reflect these activities have not been established. Thus, the measurements of anti-IIa and anti-Xa activities by biological assay are critical for the quality control of heparin products. Currently in the Japanese Pharmacopoeia (JP), the activities of heparin sodium and heparin calcium are measured by an anti-Xa activity assay (anti-Xa assay), but anti-IIa activity is not measured. Here, we established an anti-IIa activity assay (anti-IIa assay) and an anti-Xa assay having good accuracy and precision. When samples having a relative activity of 0.8, 1.0 and 1.2 were measured by the established anti-IIa and anti-Xa assays in nine laboratories, good accuracy (100.0-102.8% and 101.6-102.8%, respectively), good intermediate precision (1.9-2.1% and 2.4-4.2%, respectively) and good reproducibility (4.0-4.8% and 3.6-6.4%, respectively) were obtained. The established anti-IIa and anti-Xa assays have similar protocols, and could be performed by a single person without a special machine. The established assays would be useful for quality control of heparin.
Asunto(s)
Inhibidores del Factor Xa , Heparina/farmacología , Protrombina/antagonistas & inhibidores , Anticoagulantes/metabolismo , Anticoagulantes/farmacología , Antitrombinas/metabolismo , Factor Xa/metabolismo , Heparina/metabolismo , Humanos , Oligopéptidos/metabolismo , Protrombina/metabolismo , Reproducibilidad de los Resultados , Tecnología Farmacéutica/métodosRESUMEN
In view of the recent rapid increase in incidence of infection with antimicrobial resistant bacteria in human medicine, there is international controversy as to the medical risk that is created by transfer of antimicrobial resistant bacteria and antimicrobial resistant genes, which may be produced through the processes of administration of antimicrobials to food-producing animals, via the food chain. Accordingly, International Cooperation on Harmonization of Technical Requirements for Registration of Veterinary Medicinal Products (VICH) provides the comprehensive guidelines for characterizing selection of antimicrobial resistance by bacteria which may adversely affect human health in order to establish the system of registry of antimicrobial drugs to be administered to food- producing animals. Currently, Japanese Society of Antimicrobials for Animals recognizes the lack of technical test standards in compliance with VICH guidelines in the world and has established the test standards for "in vitro mutation frequency studies" to evaluate the appearance frequency and resistant level of resistant bacteria and those for studies on the "antimicrobial activity in gut" to estimate the effects on intestinal flora from professional aspects.
Asunto(s)
Antibacterianos/normas , Pruebas de Sensibilidad Microbiana/normas , Pruebas de Mutagenicidad/normas , Crianza de Animales Domésticos/métodos , Crianza de Animales Domésticos/normas , Animales , Aprobación de Drogas/métodos , Farmacorresistencia Microbiana , Unión Europea , Microbiología de Alimentos/normas , Guías como Asunto , Humanos , Técnicas In Vitro , Japón , Pruebas de Sensibilidad Microbiana/métodos , Pruebas de Mutagenicidad/métodos , Salud Pública , Estados UnidosRESUMEN
The growing power of central processing units (CPU) has made it possible to use quantum mechanical (QM) calculations for in silico drug discovery. However, limited CPU power makes large-scale in silico screening such as virtual screening with QM calculations a challenge. Recently, general-purpose computing on graphics processing units (GPGPU) has offered an alternative, because of its significantly accelerated computational time over CPU. Here, we review a GPGPU-based supercomputer, TSUBAME2.0, and its promise for next generation in silico drug discovery, in high-density (HD) silico drug discovery.