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Indirect pharmacodynamic models for responses with circadian removal.

Author: AyyarVivaswath S, JuskoWilliam J, KrzyzanskiWojciech

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Research Support, N.I.H., ExtramuralResearch funding provided by the NIH to external research institutions and researchers.

Overview

This study proposes a mathematical model to understand how drug effects can change over time due to biological rhythms, particularly circadian rhythms. This model can capture drug responses in various scenarios, including the uricosuric effects of lesinurad. It provides a mechanistic understanding of drug effects with varying baselines.
Paper Details　
Original Abstract of the Article :
Rhythmicity in baseline responses over a 24-h period for an indirect pharmacological effect R(t) can arise from either a periodic time-dependent input rate [Formula: see text] or a periodic time-dependent loss constant [Formula: see text]. If either [Formula: see text] or [Formula: see text] follows...See full text at original site
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引用元：
https://pubmed.ncbi.nlm.nih.gov/30694437

データ提供：米国国立医学図書館（NLM）

Indirect Pharmacodynamic Models: Capturing the Rhythms of Drug Responses

The field of [pharmacology] explores the interactions of drugs with living organisms. This study delves into the development of [indirect pharmacodynamic models], specifically those that consider the influence of [circadian rhythms] on drug responses. The authors present a theoretical framework for modeling drug effects that are modulated by time-dependent loss mechanisms, influenced by circadian rhythms. This is like studying the intricate dance of sand dunes in a desert, where patterns and rhythms emerge from the interaction of wind and sand.

Modeling the Rhythms of Drug Responses

The study proposes a new approach for modeling [drug responses] that incorporates [circadian-controlled loss mechanisms]. This is like creating a map of a desert landscape that accounts for the changing patterns of wind and sand, revealing the hidden forces that shape the environment. The model can capture the chronobiology and pharmacodynamics of drug responses, providing a more comprehensive understanding of drug effects and their variability over time.

Optimizing Drug Therapy

The study's findings have important implications for optimizing drug therapy by considering the influence of [circadian rhythms] on drug responses. This is like understanding the optimal time for planting crops in the desert, taking into account the seasonal patterns of rainfall and temperature. The study encourages researchers and clinicians to consider the chronopharmacology of drugs, tailoring treatment strategies to individual patient needs and maximizing treatment effectiveness.

Dr. Camel's Conclusion

This study reminds us that the desert of pharmacology is full of intricate and interconnected pathways. By understanding these pathways and incorporating the influence of circadian rhythms, we can develop more effective and personalized drug therapies. This study highlights the importance of considering the dynamic nature of drug responses and tailoring treatment strategies to individual patient needs.

Date :
  1. Date Completed 2020-05-06
  2. Date Revised 2020-05-06
Further Info :

Pubmed ID

30694437

DOI: Digital Object Identifier

NIHMS1524992

Related Literature

Article Analysis
・Effects of lesinurad
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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