Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Imprimir: 0278-940X
ISSN En Línea: 1943-619X

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

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2017024461
pages 459-472

The Virtual Microbiome: Computational Approaches to the Study of Microbe-Host Interactions

Joshua J. Pothen
Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405
Anne E. Dixon
Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405
Jason H. T. Bates
Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405

SINOPSIS

The GI tract of a normal adult human contains on the order of 1014 foreign living organisms, collectively known as the gut microbiome, the proper maintenance of which is critical for health. Because the gut microbiome is a dynamic system of vast complexity, computational modeling is assuming an increasingly important role in helping us to understand how and why it behaves as it does. In particular, computational models can serve as a rapid, cost-effective means of simulating the microbiome on multiple scales, from that of an individual bacterium to the microbiome as a whole. This not only allows questions to be addressed in ways that are impractical in the experimental laboratory; it also permits competing hypotheses to be interrogated for feasibility before they are subjected to expensive and time-consuming experimental testing. Here we review some of the differential equation–based and agent-based approaches that have been applied to the computational modeling of the gut microbiome and its effects on the rest of the body. The models discussed are helping us understand how the microbiome works as a system, how it maintains its crucial symbiotic relationship with its host, and, in particular, how its malfunctions can lead to a number of important and often serious pathologies.


Articles with similar content:

Product design methodological contribution based on product decisions : Proposition of reference decisionnal process
Flexible Automation and Intelligent Manufacturing, 1997:
Proceedings of the Seventh International FAIM Conference, Vol.0, 1997, issue
Claudine Guidat, Laure Morel, Vincent Boly, Jean Renaud, Valerie Rault-Jacquot
Introducing Anatomical and Physiological Accuracy in Computerized Anthropometry for Increasing the Clinical Usefulness of Modeling Systems
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.17, 2005, issue 4
Serge Van Sint Jan
Electronic Medical Records (EMRs): Patient Safety and Ethical Considerations
Ethics in Biology, Engineering and Medicine: An International Journal, Vol.3, 2012, issue 1-3
Monique Frize
The Scientific Method in an Era of Advocacy
Ethics in Biology, Engineering and Medicine: An International Journal, Vol.1, 2010, issue 4
Daniel A. Vallero, Paul J. Lioy
Ethical Considerations Translational Genomics: The Case of Emerging Cancer Therapeutics
Ethics in Biology, Engineering and Medicine: An International Journal, Vol.3, 2012, issue 1-3
Alan C. Warner