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2022 Fiscal Year Final Research Report

Construction and evaluation of a mechanism-based dynamic PK/PD model for antimicrobial agents for clinical application

Research Project

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Project/Area Number 20K07127
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 47060:Clinical pharmacy-related
Research InstitutionThe University of Tokyo

Principal Investigator

Yamamoto Takehito  東京大学, 大学院薬学系研究科(薬学部), 講師 (00376469)

Project Period (FY) 2020-04-01 – 2023-03-31
KeywordsPK/PD理論 / 数理モデル / 抗菌薬
Outline of Final Research Achievements

Bottom-up approach for estimation of pharmacokinetic/pharmacodynamic (PK/PD) indices of antimicrobial agents from basic PK and PD parameters have not yet been established. The aim of this study is to develop a methodology to describe the PK/PD indices of antimicrobial agents as a function of basic PK and PD parameters to enable the estimation of optimal PK/PD indices in patients with various clinical conditions.
We constructed dynamic PK/PD models that incorporates the in vitro bactericidal parameters of each antimicrobial agent and conducted a numerical simulation using the population PK parameters of each antimicrobial agent to verify whether the dynamic PK/PD models can estimate clinically established PK/PD indices.

Free Research Field

医療薬学

Academic Significance and Societal Importance of the Research Achievements

研究期間内に得られた知見を基に本研究を更に発展させることにより、PKパラメーターおよびin vitro殺菌作用パターンより得らえるPDパラメーターから様々な疾患状態にある患者において抗菌薬の臨床効果をシミュレーションすることが可能となると考えられる。これまでは困難であった重度腎障害患者や血液透析導入患者など、薬物体内動態が大きく変動した患者に対するPK/PD理論に基づいた論理的な投与設計が可能となることが期待される。

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Published: 2024-01-30  

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