El-Tanani Mohamed, Rabbani Syed Arman, El-Tanani Yahia, Matalka Ismail I, Khalil Ikramy A
College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Royal Cornwall Hospital Trust, NHS, United Kingdom.
Heliyon. 2024 Dec 17;11(1):e41317. doi: 10.1016/j.heliyon.2024.e41317. eCollection 2025 Jan 15.
Translational research serves as the bridge between basic research and practical applications in clinical settings. The journey from "bench to bedside" is fraught with challenges and complexities such as the often-observed disparity between how compounds behave in a laboratory setting versus in the complex systems of living organisms. The challenge is further compounded by the limited ability of in vitro models to mimic the specific biochemical environment of human tissues. This article explores and details the recent advancements and innovative approaches that are increasingly successful in bridging the gap between laboratory research and patient care. These advancements include, but are not limited to, sophisticated in vitro models such as organ-on-a-chip and computational models that utilize artificial intelligence to predict drug efficacy and safety. The article aims to showcase how these technologies improve the predictability of drug performance in human bodies and significantly speed up the drug development process. Furthermore, it discusses the role of biomarker discovery in preparation of more targeted and personalized therapy approaches and covers the impact of regulatory changes designed to facilitate drug approvals. Additionally, by providing detailed case studies of successful applications, we illustrate the practical impacts of these innovations on drug discovery and patient care.
转化研究是基础研究与临床实际应用之间的桥梁。从“实验台到病床边”的过程充满了挑战和复杂性,比如经常观察到的化合物在实验室环境中的行为与在生物体复杂系统中的行为之间的差异。体外模型模拟人体组织特定生化环境的能力有限,这进一步加剧了挑战。本文探讨并详述了最近在弥合实验室研究与患者护理之间差距方面越来越成功的进展和创新方法。这些进展包括但不限于复杂的体外模型,如芯片器官,以及利用人工智能预测药物疗效和安全性的计算模型。本文旨在展示这些技术如何提高药物在人体中的性能可预测性,并显著加快药物开发过程。此外,它讨论了生物标志物发现在制定更具针对性和个性化治疗方法中的作用,并涵盖了旨在促进药物批准的监管变化的影响。此外,通过提供成功应用的详细案例研究,我们阐述了这些创新对药物发现和患者护理的实际影响。