Suppr超能文献

非甾体抗炎药的新应用:心血管、神经退行性、糖尿病和癌症疾病治疗的新视角和未来展望。

Novel Applications of NSAIDs: Insight and Future Perspectives in Cardiovascular, Neurodegenerative, Diabetes and Cancer Disease Therapy.

机构信息

Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, 9 A. Mickeviciaus Street, LT-44307 Kaunas, Lithuania.

出版信息

Int J Mol Sci. 2021 Jun 21;22(12):6637. doi: 10.3390/ijms22126637.

Abstract

Once it became clear that inflammation takes place in the modulation of different degenerative disease including neurodegenerative, cardiovascular, diabetes and cancer the researchers has started intensive programs evaluating potential role of non-steroidal anti-inflammatory drugs (NSAIDs) in the prevention or therapy of these diseases. This review discusses the novel mechanism of action of NSAIDs and its potential use in the pharmacotherapy of neurodegenerative, cardiovascular, diabetes and cancer diseases. Many different molecular and cellular factors which are not yet fully understood play an important role in the pathogenesis of inflammation, axonal damage, demyelination, atherosclerosis, carcinogenesis thus further NSAID studies for a new potential indications based on precise pharmacotherapy model are warranted since NSAIDs are a heterogeneous group of medicines with relative different pharmacokinetics and pharmacodynamics profiles. Hopefully the new data from studies will fill in the gap between experimental and clinical results and translate our knowledge into successful disease therapy.

摘要

一旦炎症在包括神经退行性疾病、心血管疾病、糖尿病和癌症在内的不同退行性疾病的调节中发生的情况变得清晰,研究人员就开始了评估非甾体抗炎药(NSAIDs)在这些疾病的预防或治疗中潜在作用的强化项目。这篇综述讨论了 NSAIDs 的新作用机制及其在神经退行性疾病、心血管疾病、糖尿病和癌症治疗中的潜在用途。许多尚未完全了解的不同分子和细胞因素在炎症、轴突损伤、脱髓鞘、动脉粥样硬化、癌变的发病机制中发挥着重要作用,因此需要进一步研究 NSAIDs 在新的潜在适应症方面的作用,因为 NSAIDs 是一组异质性药物,具有相对不同的药代动力学和药效学特征。希望来自研究的新数据将填补实验和临床结果之间的差距,并将我们的知识转化为成功的疾病治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fe7/8235426/d6fd4fb45d60/ijms-22-06637-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验