Rezaee Saeed, Al-Majdoub Zubida M, Galetin Aleksandra, Rostami-Hodjegan Amin, Ogungbenro Kayode
Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.
School of Pharmacy, Zanjan University of Medical Sciences, Zanjan 45139-56184, Iran.
Mol Pharm. 2025 Jul 7;22(7):3563-3577. doi: 10.1021/acs.molpharmaceut.5c00297. Epub 2025 Jun 16.
Intranasal (IN) drug delivery is a promising noninvasive route for targeting the central nervous system (CNS) bypassing the blood-brain-barrier (BBB). This review critically examines the underlying mechanisms, challenges in predicting nasal drug delivery outcomes, and future directions for applying physiologically based pharmacokinetic (PBPK) modeling to support such predictions. The nasal cavity comprises distinct anatomical and physiological features in the olfactory region (upper posterior part of the nasal cavity) and the respiratory region (middle part and lateral walls of the nasal cavity), both of which play essential roles in drug deposition, systemic absorption, and general passage. However, since the biological composition of the olfactory and trigeminal nerves in the nasal area is not well-known, the prediction of drug absorption to systemic circulation from nasal mucosa or direct transport from nose to brain are fraught with many challenges. Thus, addressing the impacts of drug permeability, mucociliary clearance, enzymatic degradation, and nasomucosal toxicity are still essential challenges when developing nasal formulations for drugs. PBPK models have the capability of integrating complex anatomical, physiological, and biological aspects of the systems when such data are available. Nevertheless, translation from in vitro experiments or animal studies into humans requires addressing knowledge gaps in systems parameters. Future investigations should focus on generating the necessary missing information as well as refining the models. Application of advanced modeling methods for simulation of drug deposition, in conjunction with refined nasal PBPK models, is envisaged to improve the prediction of clinical outcomes for CNS targeted IN drug delivery.
鼻内给药是一种很有前景的非侵入性给药途径,可绕过血脑屏障(BBB)靶向中枢神经系统(CNS)。本文综述批判性地研究了其潜在机制、预测鼻腔给药结果时面临的挑战,以及应用基于生理的药代动力学(PBPK)模型支持此类预测的未来方向。鼻腔在嗅觉区域(鼻腔后上部)和呼吸区域(鼻腔中部和侧壁)具有独特的解剖和生理特征,这两个区域在药物沉积、全身吸收和药物通行方面都起着至关重要的作用。然而,由于鼻腔区域嗅觉神经和三叉神经的生物学组成尚不明确,预测药物从鼻黏膜吸收进入体循环或从鼻腔直接转运至脑部面临诸多挑战。因此,在开发鼻腔药物制剂时,应对药物渗透性、黏液纤毛清除、酶降解和鼻黏膜毒性的影响仍是至关重要的挑战。当有相关数据时,PBPK模型有能力整合系统复杂的解剖、生理和生物学方面的信息。尽管如此,将体外实验或动物研究结果转化至人体仍需解决系统参数方面的知识空白。未来的研究应聚焦于生成必要的缺失信息以及完善模型。设想应用先进的建模方法模拟药物沉积,并结合完善的鼻腔PBPK模型,以改善中枢神经系统靶向鼻内给药临床结果的预测。