A Pharmacokinetic Model of a Tissue Implantable Cortisol Sensor

A Pharmacokinetic Model of a Tissue Implantable Cortisol Sensor
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组织植入式皮质醇传感器的药代动力学模型

DOI:
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发表时间:
2016
影响因子:
10
通讯作者:
M. Strano
M. Strano
中科院分区:
工程技术1区
文献类型:
--
作者:
M. A. Lee;N. Bakh;G. Bisker;E. Brown;M. Strano

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皮质醇是一种重要的糖皮质激素,其生物化学影响许多生理和病理过程。此外,它还是许多疾病的生物标志物,包括创伤后应激障碍、库欣综合征、阿狄森氏病等。能够实时监测脂肪组织中皮质醇浓度的植入式生物传感器可能会彻底改变这些疾病的诊断和治疗,并提供宝贵的研究工具。为此,根据生理学文献,开发了一个数学模型来预测脂肪、肌肉和脑组织中的动态皮质醇浓度,这些组织中发生了大量与皮质醇相关的重要过程。该药代动力学模型适用于典型的健康男性患者和先前研究的库欣病患者。该模型还可以通过优化传感器解离常数、表观延迟时间以及传感器输出幅度与系统动力学的关系,为植入式传感器的设计提供信息。这种传感器的测量结果将有助于确定全身皮质醇水平,为各种皮质醇相关病症的正确医疗提供急需的见解。
Cortisol is an important glucocorticoid hormone whose biochemistry influences numerous physiological and pathological processes. Moreover, it is a biomarker of interest for a number of conditions, including posttraumatic stress disorder, Cushing's syndrome, Addison's disease, and others. An implantable biosensor capable of real time monitoring of cortisol concentrations in adipose tissue may revolutionize the diagnosis and treatment of these disorders, as well as provide an invaluable research tool. Toward this end, a mathematical model, informed by the physiological literature, is developed to predict dynamic cortisol concentrations in adipose, muscle, and brain tissues, where a significant number of important processes with cortisol occur. The pharmacokinetic model is applied to both a prototypical, healthy male patient and a previously studied Cushing's disease patient. The model can also be used to inform the design of an implantable sensor by optimizing the sensor dissociation constant, apparent delay time, and magnitude of the sensor output versus system dynamics. Measurements from such a sensor would help to determine systemic cortisol levels, providing much needed insight for proper medical treatment for various cortisol‐related conditions.
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