báo cáo hóa học:" Perfused human organs versus Mary Shelley's "

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học quốc tế đề tài : Perfused human organs versus Mary Shelley's | Journal of Translational Medicine BioMed Central Commentary Perfused human organs versus Mary Shelley s Frankenstein Lawrence Leung Open Access Address Department of Family Medicine Queen s University 220 Bagot Street PO Bag 8888 Kingston Ontario K7L 5E9 Canada Email Lawrence Leung - leungl@ Published 23 January 2009 Received 19 January 2009 Journal of Translational Medicine 2009 7 9 doi l479-5876-7-9 Accepted 23 January 2009 This article is available from http content 7 1 9 2009 Leung licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Novel drugs have to go through mandatory pre-clinical testing before they can be approved for use in clinical trials. In essence it is a form of bench-to-bedside N2B translational medicine but the wastage rate of target candidates is immensely high. Effects seen in vitro often do not translate to in vivo human settings. The search is on for better models closer to human physiology to be used in pre-clinical drug screening. The Ex Vivo Metrics system has been introduced where a human organ is harvested and revitalized in a controlled environment suitable for testing of both drug efficacy and potential toxicity. This commentary expresses the author s views regarding this technology of perfused human organs. Introduction Every new drug has to undergo Phase 1 2 clinical trials where the safety and toxicity profile have to be clearly established before it can proceed to larger scale Phase 3 4 trials. Before entering any clinical phase pre-clinical data would have to be procured from cultured cell-lines and tissues in addition to animal models in the laboratories. However no matter how good these models are pre-clin-ical data may not be .

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