Comparative Pharmacological Profiling of Psychotherapeutic Drugs Reveals a Functional Taxonomy Based on Direct Inhibition of Smooth Muscle Excitability

精神治疗药物的比较药理学分析揭示了一种基于直接抑制平滑肌兴奋性的功能分类。

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Abstract

Background: Autonomic side effects are a major determinant of tolerability for many psychotherapeutic drugs. While often attributed to receptor-mediated mechanisms, the potential contribution of direct modulation of smooth muscle excitability remains poorly characterized at a comparative pharmacological level. Methods: A systematic comparative pharmacological profiling of a broad panel of psychotherapeutic drugs (antidepressants, antipsychotics, and anxiolytics) was conducted using a standardized ex vivo model. Potassium chloride (KCl, 105 mM) was used to induce depolarization-dependent contraction in three isolated smooth muscle preparations (rat uterus, rat vas deferens, and guinea-pig ileum). Inhibitory potency (IC(50)), dose-dependency, and tissue consistency were integrated to define functional inhibitory profiles. Results: Psychotherapeutic drugs exhibited marked heterogeneity in their ability to inhibit K(+)-induced smooth muscle contraction. Integrative analysis stratified compounds into four distinct functional profiles: (i) High Inhibitory Liability (e.g., nortriptyline, paroxetine), characterized by low micromolar IC(50) values and dose-dependent inhibition across multiple tissues; (ii) Non-Selective Inhibition (e.g., flunarizine, cinnarizine), showing consistent but dose-independent inhibition; (iii) Tissue-Dependent Inhibition (e.g., risperidone, reboxetine); and (iv) Minimal Inhibition (e.g., moclobemide). Agents classified within the High Inhibitory Liability profile correspond to drugs known to carry a higher clinical burden of autonomic adverse effects. Conclusions: This study reveals a previously underrecognized pharmacodynamic dimension of psychotherapeutic drugs and establishes a comparative functional taxonomy based on their direct, non-receptor-mediated inhibition of smooth muscle excitability. The identified profiles provide a mechanism-informed framework for contextualizing autonomic side-effect liability and may support improved safety evaluation in psychotherapeutic drug development.

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