Literature DB >> 11451026

Nonlinear dynamics and chaos theory: concepts and applications relevant to pharmacodynamics.

A Dokoumetzidis1, A Iliadis, P Macheras.   

Abstract

The theory of nonlinear dynamical systems (chaos theory), which deals with deterministic systems that exhibit a complicated, apparently random-looking behavior, has formed an interdisciplinary area of research and has affected almost every field of science in the last 20 years. Life sciences are one of the most applicable areas for the ideas of chaos because of the complexity of biological systems. It is widely appreciated that chaotic behavior dominates physiological systems. This is suggested by experimental studies and has also been encouraged by very successful modeling. Pharmacodynamics are very tightly associated with complex physiological processes, and the implications of this relation demand that the new approach of nonlinear dynamics should be adopted in greater extent in pharmacodynamic studies. This is necessary not only for the sake of more detailed study, but mainly because nonlinear dynamics suggest a whole new rationale, fundamentally different from the classic approach. In this work the basic principles of dynamical systems are presented and applications of nonlinear dynamics in topics relevant to drug research and especially to pharmacodynamics are reviewed. Special attention is focused on three major fields of physiological systems with great importance in pharmacotherapy, namely cardiovascular, central nervous, and endocrine systems, where tools and concepts from nonlinear dynamics have been applied.

Mesh:

Year:  2001        PMID: 11451026     DOI: 10.1023/a:1011083723190

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  63 in total

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Review 3.  Nonlinear EEG analysis and its potential role in epileptology.

Authors:  C E Elger; G Widman; R Andrzejak; J Arnhold; P David; K Lehnertz
Journal:  Epilepsia       Date:  2000       Impact factor: 5.864

Review 4.  Electroencephalogram effect measures and relationships between pharmacokinetics and pharmacodynamics of centrally acting drugs.

Authors:  J W Mandema; M Danhof
Journal:  Clin Pharmacokinet       Date:  1992-09       Impact factor: 6.447

5.  Dynamic model of hormonal systems coupled by negative feedback.

Authors:  C H Londergan; E Peacock-López
Journal:  Biophys Chem       Date:  1998-07-13       Impact factor: 2.352

6.  Cardiac electrical restitution properties and stability of reentrant spiral waves: a simulation study.

Authors:  Z Qu; J N Weiss; A Garfinkel
Journal:  Am J Physiol       Date:  1999-01

7.  Spectral analysis of heart rate variability as a quantitative measure of parasympatholytic effect--integrated pharmacokinetics and pharmacodynamics of three anticholinergic drugs.

Authors:  H Scheinin; A Helminen; S Huhtala; P Grönroos; J A Bosch; T Kuusela; J Kanto; T Kaila
Journal:  Ther Drug Monit       Date:  1999-04       Impact factor: 3.681

8.  A model of beta-cell mass, insulin, and glucose kinetics: pathways to diabetes.

Authors:  B Topp; K Promislow; G deVries; R M Miura; D T Finegood
Journal:  J Theor Biol       Date:  2000-10-21       Impact factor: 2.691

9.  Mixed-effects modeling of the pharmacodynamic response to the calcimimetic agent R-568.

Authors:  R L Lalonde; J Gaudreault; D A Karhu; T B Marriott
Journal:  Clin Pharmacol Ther       Date:  1999-01       Impact factor: 6.875

10.  Proarrhythmic response to potassium channel blockade. Numerical studies of polymorphic tachyarrhythmias.

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Journal:  Circulation       Date:  1995-08-01       Impact factor: 29.690

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  5 in total

Review 1.  Nonlinear dynamics in clinical pharmacology: the paradigm of cortisol secretion and suppression.

Authors:  Aristides Dokoumetzidis; Athanassios Iliadis; Panos Macheras
Journal:  Br J Clin Pharmacol       Date:  2002-07       Impact factor: 4.335

2.  The impracticality of biomedical rejuvenation therapies: translational and pharmacological barriers.

Authors:  Marios Kyriazis
Journal:  Rejuvenation Res       Date:  2014-08       Impact factor: 4.663

3.  Special issue: mathematical pharmacology.

Authors:  Wojciech Krzyzanski; J G Coen van Hasselt
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-01-03       Impact factor: 2.745

4.  Estimating parameters of nonlinear dynamic systems in pharmacology using chaos synchronization and grid search.

Authors:  Nikhil Pillai; Sorell L Schwartz; Thang Ho; Aris Dokoumetzidis; Robert Bies; Immanuel Freedman
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-30       Impact factor: 2.745

5.  Application of Chaotic Laws to Improve Haplotype Assembly Using Chaos Game Representation.

Authors:  Mohammad Hossein Olyaee; Alireza Khanteymoori; Khosrow Khalifeh
Journal:  Sci Rep       Date:  2019-07-17       Impact factor: 4.379

  5 in total

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