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对血清和唾液中皮质醇测量的 5-羟色氨酸(5-HTP)挑战试验进行 PK/PD 建模。

PK/PD modeling of 5-hydroxytryptophan (5-HTP) challenge test with cortisol measurement in serum and saliva.

机构信息

Centre for Human Drug Research, Leiden, the Netherlands.

Leiden University Medical Center, Leiden, the Netherlands.

出版信息

Pharmacol Res Perspect. 2020 Apr;8(2):e00574. doi: 10.1002/prp2.574.

DOI:10.1002/prp2.574
PMID:32168433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7069653/
Abstract

This research was planned to build a Pharmacokinetic/Pharmacodynamic (PK/PD) model of 5-hydroxytryptophan (5-HTP) challenge study including a circadian rhythm component of cortisol and to predict serum cortisol based on saliva cortisol. Data from three 5-HTP challenge studies in healthy volunteers were collected. Serum 5-HTP, saliva, and serum cortisol were sampled as PK and PD marker. The population PK/PD modeling approach was applied. A baseline model of serum cortisol was built to assess the circadian rhythm before a pharmacodynamic model was used to evaluate the drug effect of the 5-HTP on cortisol. Finally, linear and power function relationships were tested to predict serum cortisol based on saliva cortisol. The PK of 5-HTP could be described using a one-compartment model with a transit compartment. The typical value for clearance was 20.40 L h and showed inter-study variability. A cosine function was chosen and properly described the circadian rhythm of serum cortisol. A linear approximation model was applied to fit the 5-HTP PD effect on cortisol data with a slope of 4.16 ng mL  h. A power function provided a better description than a linear function to relate the saliva and serum cortisol. In conclusion, a circadian rhythm component was built in the PK/PD model of the 5-HTP challenge test which could better improve the understanding of the stimulating effect on HPA with cortisol change. After the 5-HTP challenge, saliva cortisol correlated well with serum cortisol and was predictable by a population PK-PD model.

摘要

这项研究旨在构建 5-羟色氨酸(5-HTP)挑战研究的药代动力学/药效学(PK/PD)模型,包括皮质醇的昼夜节律成分,并基于唾液皮质醇预测血清皮质醇。收集了来自三项健康志愿者 5-HTP 挑战研究的数据。采集血清 5-HTP、唾液和血清皮质醇作为 PK 和 PD 标志物。应用群体 PK/PD 建模方法。建立血清皮质醇的基线模型,以评估药效学模型之前的昼夜节律,然后使用该模型评估 5-HTP 对皮质醇的药物作用。最后,测试线性和幂函数关系,以基于唾液皮质醇预测血清皮质醇。5-HTP 的 PK 可以使用具有转运隔室的单室模型来描述。清除率的典型值为 20.40 L/h,表现出研究间变异性。选择了余弦函数,并适当描述了血清皮质醇的昼夜节律。线性近似模型用于拟合 5-HTP 对皮质醇数据的 PD 效应,斜率为 4.16 ng/mL/h。幂函数比线性函数更能描述唾液和血清皮质醇之间的关系。总之,在 5-HTP 挑战试验的 PK/PD 模型中构建了昼夜节律成分,这可以更好地了解皮质醇变化对 HPA 的刺激作用。在 5-HTP 挑战后,唾液皮质醇与血清皮质醇相关性良好,并可通过群体 PK-PD 模型预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/9afb6a268322/PRP2-8-e00574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/e8ddfc763480/PRP2-8-e00574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/62888e57049d/PRP2-8-e00574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/679c50f0469f/PRP2-8-e00574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/30c8d0939277/PRP2-8-e00574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/9afb6a268322/PRP2-8-e00574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/e8ddfc763480/PRP2-8-e00574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/62888e57049d/PRP2-8-e00574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/679c50f0469f/PRP2-8-e00574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/30c8d0939277/PRP2-8-e00574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3c/7069653/9afb6a268322/PRP2-8-e00574-g005.jpg

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