ZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Barcelona, Spain.
SLAS Discov. 2020 Jul;25(6):552-567. doi: 10.1177/2472555220926920. Epub 2020 May 28.
Bringing a new drug to the market costs an average of US$2.6 billion and takes more than 10 years from discovery to regulatory approval. Despite the need to reduce cost and time to increase productivity, pharma companies tend to crowd their efforts in the same indications and drug targets. This results in the commercialization of drugs that share the same mechanism of action (MoA) and, in many cases, equivalent efficacies among them-an outcome that helps neither patients nor the balance sheet of the companies trying to bring therapeutics to the same patient population. Indeed, the discovery of new therapeutic targets, based on a deeper understanding of the disease biology, would likely provide more innovative MoAs and potentially greater drug efficacies. It would also bring better chances for identifying appropriate treatments according to the patient's genetic stratification. Nowadays, we count with an enormous amount of unprocessed information on potential disease targets that could be extracted from omics data obtained from patient samples. In addition, hundreds of pharmacological and genetic screenings have been performed to identify innovative drug targets. Traditionally, rodents have been the animal models of choice to perform functional genomic studies. The high experimental cost, combined with the low throughput provided by those models, however, is a bottleneck for discovering and validating novel genetic disease associations. To overcome these limitations, we propose that zebrafish, in conjunction with the use of CRISPR/Cas9 genome-editing tools, could streamline functional genomic processes to bring biologically relevant knowledge on innovative disease targets in a shorter time frame.
将一种新药推向市场平均需要 26 亿美元,并且从发现到监管批准需要超过 10 年的时间。尽管需要降低成本和缩短时间以提高生产力,但制药公司往往在相同的适应症和药物靶点上投入大量精力。这导致了具有相同作用机制(MoA)的药物商业化,并且在许多情况下,它们的疗效相当——这种结果既不利于患者,也不利于试图为同一患者群体带来治疗方法的公司的资产负债表。事实上,基于对疾病生物学的更深入理解,发现新的治疗靶点可能会提供更多创新的 MoA 和潜在的更高药物疗效。它还将为根据患者的基因分层来识别适当的治疗方法提供更好的机会。如今,我们拥有大量未经过处理的潜在疾病靶点信息,可以从患者样本中获得的组学数据中提取出来。此外,已经进行了数百次药理学和遗传学筛选,以确定创新的药物靶点。传统上,啮齿动物一直是进行功能基因组研究的首选动物模型。然而,这些模型的高实验成本和低通量是发现和验证新型遗传疾病相关性的瓶颈。为了克服这些限制,我们建议使用 CRISPR/Cas9 基因组编辑工具的斑马鱼可以简化功能基因组过程,以便在更短的时间内获得关于创新疾病靶点的生物学相关知识。