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中枢神经系统病毒感染——改善药物治疗需要考虑的因素:呼吁采用数学建模方法。

CNS Viral Infections-What to Consider for Improving Drug Treatment: A Plea for Using Mathematical Modeling Approaches.

机构信息

Division of Systems Pharmacology and Pharmacy, Leiden Academic Center for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.

出版信息

CNS Drugs. 2024 May;38(5):349-373. doi: 10.1007/s40263-024-01082-3. Epub 2024 Apr 5.

Abstract

Neurotropic viruses may cause meningitis, myelitis, encephalitis, or meningoencephalitis. These inflammatory conditions of the central nervous system (CNS) may have serious and devastating consequences if not treated adequately. In this review, we first summarize how neurotropic viruses can enter the CNS by (1) crossing the blood-brain barrier or blood-cerebrospinal fluid barrier; (2) invading the nose via the olfactory route; or (3) invading the peripheral nervous system. Neurotropic viruses may then enter the intracellular space of brain cells via endocytosis and/or membrane fusion. Antiviral drugs are currently used for different viral CNS infections, even though their use and dosing regimens within the CNS, with the exception of acyclovir, are minimally supported by clinical evidence. We therefore provide considerations to optimize drug treatment(s) for these neurotropic viruses. Antiviral drugs should cross the blood-brain barrier/blood cerebrospinal fluid barrier and pass the brain cellular membrane to inhibit these viruses inside the brain cells. Some antiviral drugs may also require intracellular conversion into their active metabolite(s). This illustrates the need to better understand these mechanisms because these processes dictate drug exposure within the CNS that ultimately determine the success of antiviral drugs for CNS infections. Finally, we discuss mathematical model-based approaches for optimizing antiviral treatments. Thereby emphasizing the potential of CNS physiologically based pharmacokinetic models because direct measurement of brain intracellular exposure in living humans faces ethical restrictions. Existing physiologically based pharmacokinetic models combined with in vitro pharmacokinetic/pharmacodynamic information can be used to predict drug exposure and evaluate efficacy of antiviral drugs within the CNS, to ultimately optimize the treatments of CNS viral infections.

摘要

神经亲和性病毒可引起脑膜炎、脊髓炎、脑炎或脑膜脑炎。中枢神经系统 (CNS) 的这些炎症性疾病如果得不到充分治疗,可能会产生严重和破坏性的后果。在这篇综述中,我们首先总结了神经亲和性病毒如何通过以下三种途径进入中枢神经系统:(1)穿过血脑屏障或血脑脊液屏障;(2)通过嗅觉途径侵入鼻子;或(3)侵入外周神经系统。然后,神经亲和性病毒可以通过内吞作用和/或膜融合进入脑细胞的细胞内空间。目前使用抗病毒药物治疗不同的病毒中枢神经系统感染,尽管除阿昔洛韦外,这些药物在中枢神经系统中的使用和剂量方案很少得到临床证据的支持。因此,我们提供了一些考虑因素来优化这些神经亲和性病毒的药物治疗。抗病毒药物应穿过血脑屏障/血脑脊液屏障,并穿透脑细胞膜,以抑制脑细胞内的这些病毒。一些抗病毒药物还可能需要在细胞内转化为其活性代谢物。这说明了需要更好地了解这些机制,因为这些过程决定了抗病毒药物在中枢神经系统内的暴露,最终决定了抗病毒药物治疗中枢神经系统感染的成败。最后,我们讨论了基于数学模型的优化抗病毒治疗方法。这强调了中枢神经系统基于生理学的药代动力学模型的潜力,因为在活体人类中直接测量细胞内脑暴露面临伦理限制。现有的基于生理学的药代动力学模型结合体外药代动力学/药效学信息可用于预测抗病毒药物在中枢神经系统中的暴露,并评估其疗效,从而最终优化中枢神经系统病毒感染的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f13/11026214/763b79c91db8/40263_2024_1082_Fig1_HTML.jpg

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