2019
DOI: 10.1002/psp4.12370
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Blood‐Based Biomarkers of Quinpirole Pharmacology: Cluster‐Based PK/PD and Metabolomics to Unravel the Underlying Dynamics in Rat Plasma and Brain

Abstract: A key challenge in the development of central nervous system drugs is the availability of drug target specific blood‐based biomarkers. As a new approach, we applied cluster‐based pharmacokinetic/pharmacodynamic ( PK / PD ) analysis in brain extracellular fluid (brain ECF ) and plasma simultaneously after 0, 0.17, and 0.86 mg/kg of the dopamine D 2/3 agonist quinpirole ( QP ) in rats. We measur… Show more

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Cited by 2 publications
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“…Machine learning, other artificial intelligence algorithms, optimal design of experiments, and mathematical techniques for dimensionality reduction will prove invaluable in identifying the biomarkers. 118 However, the findings of such approaches are as good as the quality of the training set data, which are often less than ideal in clinical situations. In many cases, these approaches yield correlations and associations but not necessarily causal relationships A mechanism-based QSP model can partially uncover causality by integrating formalized domain expertise on the pathways or circuits identified in these analyses, as proposed previously.…”
Section: Biomarker Discovery and Validationmentioning
confidence: 99%
“…Machine learning, other artificial intelligence algorithms, optimal design of experiments, and mathematical techniques for dimensionality reduction will prove invaluable in identifying the biomarkers. 118 However, the findings of such approaches are as good as the quality of the training set data, which are often less than ideal in clinical situations. In many cases, these approaches yield correlations and associations but not necessarily causal relationships A mechanism-based QSP model can partially uncover causality by integrating formalized domain expertise on the pathways or circuits identified in these analyses, as proposed previously.…”
Section: Biomarker Discovery and Validationmentioning
confidence: 99%