Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Department of Mathematics, Duke University, Durham, NC, USA.
Commun Biol. 2024 Jun 8;7(1):710. doi: 10.1038/s42003-024-06240-3.
Selective serotonin reuptake inhibitors (SSRIs) are widely used for depression based on the monoamine deficiency hypothesis. However, the clinical use of these agents is controversial, in part because of their variable clinical efficacy and in part because of their delayed onset of action. Because of the complexities involved in replicating human disease and clinical dosing in animal models, the scientific community has not reached a consensus on the reasons for these phenomena. In this work, we create a theoretical hippocampal model incorporating escitalopram's pharmacokinetics, pharmacodynamics (competitive and non-competitive inhibition, and serotonin transporter (SERT) internalization), inflammation, and receptor dynamics. With this model, we simulate chronic oral escitalopram in mice showing that days to weeks are needed for serotonin levels to reach steady-state. We show escitalopram's chemical efficacy is diminished under inflammation. Our model thus offers mechanisms for how chronic escitalopram affects brain serotonin, emphasizing the importance of optimized dose and time for future antidepressant discoveries.
选择性 5-羟色胺再摄取抑制剂(SSRIs)基于单胺缺乏假说被广泛用于治疗抑郁症。然而,这些药物的临床应用存在争议,部分原因是其临床疗效的可变性,部分原因是其作用起效缓慢。由于在动物模型中复制人类疾病和临床给药的复杂性,科学界尚未就这些现象的原因达成共识。在这项工作中,我们创建了一个理论上的海马模型,其中包含依地普仑的药代动力学、药效学(竞争性和非竞争性抑制以及 5-羟色胺转运体(SERT)内化)、炎症和受体动力学。通过该模型,我们模拟了慢性口服依地普仑在小鼠中的作用,结果表明需要数天到数周的时间才能使 5-羟色胺水平达到稳态。我们表明,在炎症下,依地普仑的化学功效会降低。因此,我们的模型为慢性依地普仑如何影响大脑 5-羟色胺提供了机制,强调了未来抗抑郁药发现中优化剂量和时间的重要性。