Tutorial for Modeling Delays in Biological Systems in the NONMEM Software

被引:0
作者
Bauer, Robert J. [1 ]
Krzyzanski, Wojciech [2 ]
机构
[1] ICON Clin Res LLC, Blue Bell, PA 19422 USA
[2] Univ Buffalo, Dept Pharmaceut Sci, Buffalo, NY USA
来源
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY | 2025年 / 14卷 / 07期
关键词
biostatistics; delay differential equations; distributed delay systems; nonlinear models; NONMEM; pharmacometrics; software; therapeutics;
D O I
暂无
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Delays in biological systems are a common phenomenon. The models for delays require specialized mathematical and numerical techniques such as transit compartments, delay differential equations (DDEs), and distributed DDEs (DDDEs). Because of mathematical complexity, DDEs and particularly DDDEs are infrequently used for modeling. DDEs are supported by most pharmacometric programs. Recently, DDDEs have been implemented in NONMEM that greatly improve the applicability of this technique in pharmacokinetic and pharmacodynamic (PKPD) modeling. The objective of this tutorial is to provide examples of PKPD models with delays and demonstrate how to implement them in NONMEM. All examples provide a brief description of the biology and pharmacology underlying model equations, explain how they are coded in the NONMEM control stream, and discuss results of data analysis models were used for. NONMEM codes for all models are presented in supporting information (Data S1). The tutorial concludes with a discussion of the pros and cons of presented delay modeling techniques with guidelines for which one might be preferred given the nature of the delay, available data, and the task to be performed.
引用
收藏
页码:1133 / 1155
页数:23
相关论文
共 14 条
[1]  
Bacaër N, 2011, SHORT HISTORY OF MATHEMATICAL POPULATION DYNAMICS, P35, DOI 10.1007/978-0-85729-115-8_6
[2]  
Bauer R., 1989, Technical Guide on Various Methods in NONMEM 7. NONMEM 7.6.0 Users Guides
[3]   Solving delay differential equations in S-ADAPT by method of steps [J].
Bauer, Robert J. ;
Mo, Gary ;
Krzyzanski, Wojciech .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2013, 111 (03) :715-734
[4]  
Beal S. L., 1989, NONMEM 7.6.0 Users Guides
[5]   MEAN RESIDENCE TIME CONCEPTS FOR PHARMACOKINETIC SYSTEMS WITH NONLINEAR DRUG ELIMINATION DESCRIBED BY THE MICHAELIS-MENTEN EQUATION [J].
CHENG, HY ;
JUSKO, WJ .
PHARMACEUTICAL RESEARCH, 1988, 5 (03) :156-164
[6]   CIRCULAR CAUSAL SYSTEMS IN ECOLOGY [J].
HUTCHINSON, GE .
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 1948, 50 (04) :221-246
[7]   PHYSIOLOGICAL INDIRECT RESPONSE MODELS CHARACTERIZE DIVERSE TYPES OF PHARMACODYNAMIC EFFECTS [J].
JUSKO, WJ ;
KO, HC .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 1994, 56 (04) :406-419
[8]   Distributed transit compartments for arbitrary lifespan distributions in aging populations [J].
Koch, Gilbert ;
Schropp, Johannes .
JOURNAL OF THEORETICAL BIOLOGY, 2015, 380 :550-558
[9]   Pharmacodynamic Age Structured Population Model For Cell Trafficking [J].
Krzyzanski, Wojciech ;
Bauer, Robert .
JOURNAL OF PHARMACEUTICAL SCIENCES, 2024, 113 (01) :257-267
[10]   Population Modeling of Filgrastim PK-PD in Healthy Adults Following Intravenous and Subcutaneous Administrations [J].
Krzyzanski, Wojciech ;
Wiczling, Pawel ;
Lowe, Phil ;
Pigeolet, Etienne ;
Fink, Martin ;
Berghout, Alexander ;
Balser, Sigrid .
JOURNAL OF CLINICAL PHARMACOLOGY, 2010, 50 (09) :101S-112S