Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Печать: 0278-940X
ISSN Онлайн: 1943-619X

Том 47, 2019 Том 46, 2018 Том 45, 2017 Том 44, 2016 Том 43, 2015 Том 42, 2014 Том 41, 2013 Том 40, 2012 Том 39, 2011 Том 38, 2010 Том 37, 2009 Том 36, 2008 Том 35, 2007 Том 34, 2006 Том 33, 2005 Том 32, 2004 Том 31, 2003 Том 30, 2002 Том 29, 2001 Том 28, 2000 Том 27, 1999 Том 26, 1998 Том 25, 1997 Том 24, 1996 Том 23, 1995

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v30.i456.60
pages 379-418

Model-based Approaches to Biomarker Discovery and Evaluation: A Multidisciplinary Integrated Review

Paolo Vicini
Resource Facility for Population Kinetics, Department of Bioengineering, Box 352255, University of Washington, Seattle, WA 98195-2255
Marc R. Gastonguay
2Pharmacokinetics Laboratory, University of Connecticut School of Pharmacy, Farmington, Connecticut
David M. Foster
Resource Facility for Population Kinetics, Department of Bioengineering, University of Washington, and SAAM Institute, Inc., Seattle, Washington

Краткое описание

The most common use of any mathematical or statistical model in physiology, pathophysiology, or therapy evaluation is to organize all relevant components characterizing the system behavior into a rigorously testable framework. This approach is widely applied both to the study of complex homeostatic paradigms involving endogenous substances and to the evaluation of the kinetics and dynamics of xenobiotics such as toxicants and drugs. In either case, one seeks a quantitative framework of the system that is consistent with known physiology and pharmacology and is "compatible" (in some meaningful sense) with all available data. The models are then evaluated and subjected to identifiability and validity tests and can then be used to estimate unknown parameters of interest, to make predictions about system behavior, to simulate previously unobserved behavior in response to a putative perturbation, and to aid in further experimental design. In a broader context, however, the focus and ultimate goal of this set of methodologies (whether this is explicitly stated or not) lies in understanding the mechanisms of physiology and pathophysiology and measuring the effect of therapeutic interventions through the accurate quantification of biomarkers of interest. In this review, we attempt to bring together under this comprehensive framework more than four decades of investigation on modeling and simulation in the life sciences (in particular, we will concentrate on the areas of pharmacology, physiology, and bioengineering). We demonstrate that such modeling approaches, when appropriately designed and evaluated, have significant potential and can be used to understand the multiple factors of disease progression and response to therapeutic interventions, the most likely causes of variability in population and individual responses to therapy, and the most appropriate timing of treatment administration. Lastly, they may allow estimation and prediction of significant outcomes in feasibility and clinical studies.

Articles with similar content:

Pharmacokinetic/Pharmacodynamic Modeling in Inflammation
Critical Reviews™ in Biomedical Engineering, Vol.40, 2012, issue 4
Hoi-Kei Lon, Dongyang Liu, William J. Jusko
Oscillation Mechanics of the Respiratory System: Applications to Lung Disease
Critical Reviews™ in Biomedical Engineering, Vol.39, 2011, issue 4
Raffaele L. Dellaca, David W. Kaczka
Electrophysiological Cardiac Modeling: A Review
Critical Reviews™ in Biomedical Engineering, Vol.44, 2016, issue 1-2
Mohammadali Beheshti, Sridhar Krishnan, Karthikeyan Umapathy
Experimental Design Issues in Clinical Research of Musculoskeletal Pain Disabilities
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.12, 2000, issue 2
Robert J. Gatchel, Matt Maddrey
Emergent Structure-Function Relations in Emphysema and Asthma
Critical Reviews™ in Biomedical Engineering, Vol.39, 2011, issue 4
Bela Suki, Tilo Winkler