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In Silico Simulation of the Systemic Drug Exposure Following the Topical Application of Opioid Analgesics in Patients with Cutaneous Lesions

机译:在皮肤病患者的阿片类镇痛药物局部应用后的Silico模拟系统药物暴露

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摘要

The use of opioid analgesics in treating severe pain is frequently associated with putative adverse effects in humans. Topical agents that are shown to have high efficacy with a favorable safety profile in clinical settings are great alternatives for pain management of multimodal analgesia. However, the risk of side effects induced by transdermal absorption and systemic exposure is of great concern as they are challenging to predict. The present study aimed to use “BIOiSIM” an artificial intelligence-integrated biosimulation platform to predict the transdermal disposition of opioid analgesics. The model successfully predicted their exposure following the topical application of central opioid agonist buprenorphine and peripheral agonist oxycodone in healthy human subjects with simulation of intra-skin exposure in subjects with burns and pressure wounds. The predicted plasma levels of analgesics were used to evaluate the safety of the therapeutic pain control in patients with the dermal structural impairments caused by acute (burns) or chronic cutaneous lesions (pressure wounds) with topical opioid analgesics.
机译:在治疗严重疼痛时使用阿片类镇痛药通常与人类推定的不良反应有关。显示在临床环境中具有良好安全性曲线的局部药剂是多式镇痛疼痛管理的良好替代品。然而,透皮吸收和全身暴露引起的副作用的风险是非常关注的,因为它们是挑战预测的。本研究旨在使用“Bioisim”一种人工智力 - 整合生物仿生平台来预测阿片类镇痛药的透皮布置。该模型在中枢Apioid Agonist Buprenorphine和外周激动剂羟考酮在健康人体受试者中的局部施用后成功预测了它们的暴露,所述人体受试者模拟燃烧和压力伤口的受试者中的皮肤内暴露。预测的血浆水平镇痛药物用于评估患者治疗疼痛控制的安全性疼痛对术后急性(燃烧)或慢性皮肤病变(压力伤口)引起的局部阿片类药物镇痛药患者的安全性。

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