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Modeling of circadian-immune interactions
Descriptive
TitleInfo
Title
Modeling of circadian-immune interactions
Name
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NamePart
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Mavroudis
NamePart
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Panteleimon D.
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Panteleimon D. Mavroudis
Role
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author
Name
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NamePart
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Androulakis
NamePart
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Ioannis P.
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Ioannis P. Androulakis
Affiliation
Advisory Committee
Role
RoleTerm
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chair
Name
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NamePart
(type = family)
Ierapetritou
NamePart
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Marianthi G.
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Marianthi G. Ierapetritou
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Advisory Committee
Role
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co-chair
Name
(type = personal)
NamePart
(type = family)
Roth
NamePart
(type = given)
Charles M.
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Charles M. Roth
Affiliation
Advisory Committee
Role
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internal member
Name
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(type = family)
Berthiaume
NamePart
(type = given)
Francois
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Francois Berthiaume
Affiliation
Advisory Committee
Role
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outside member
Name
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Rutgers University
Role
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degree grantor
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NamePart
Graduate School - New Brunswick
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school
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Text
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theses
OriginInfo
DateCreated
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2014
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2014-10
CopyrightDate
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2014
Place
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xx
Language
LanguageTerm
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eng
Abstract
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Dysregulation of the inflammatory response is a critical component of many clinically challenging disorders such as sepsis. Inflammation is a biological process designed to lead to healing and recovery, ultimately restoring homeostasis; however, the failure to fully achieve those beneficial results can leave a patient in a dangerous persistent inflammatory state. One of the primary challenges in developing novel therapies in this area is that inflammation is comprised of a complex network of interacting pathways. Here, we discuss our approaches towards addressing this problem through computational systems biology, with a particular focus on how the presence of biological rhythms and importantly circadian (~24hr) and the disruption of these rhythms may be applied in a translational context. By leveraging the information content embedded in physiologic variability, and its loss under acute inflammatory response we aim to gain insight into the underlying physiology. Heart rate variability (HRV) has been studied as a potential prognostic marker in inflammation-linked diseases. We modeled the interactions between human endotoxemia mediators and the autonomic nervous system in order to understand the loss of HRV in presence of stress, allowing for the rationalization of experimental observations in the framework of a quantitative model. Furthermore, by modeling the flow of circadian information from the environmental light/dark cycles to the systemic cortisol level and ultimately to the single immune cell level, we identified critical dynamics that confer robust synchronization and rhythmicity both of which are characteristics associated with well-being. Lastly, by considering the disparate role of cortisol as an immunopermissive and immunosuppressive agent, we elucidated the dynamics leading to a time of day dependence of body’s inflammatory response. These results denote the critical importance of physiological rhythms in homeostasis and stress, and elucidate the potential to derive critical information by the analysis of variability and its source both at the systemic and at the single cell level.
Subject
(authority = RUETD)
Topic
Chemical and Biochemical Engineering
Subject
(authority = ETD-LCSH)
Topic
Circadian rhythms
Subject
(authority = ETD-LCSH)
Topic
Immunology
Subject
(authority = ETD-LCSH)
Topic
Heart beat
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_5747
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xviii, 199 p. : ill.)
Note
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Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
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by Panteleimon D. Mavroudis
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3513WWJ
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Mavroudis
GivenName
Panteleimon
MiddleName
D.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
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2014-07-29 18:10:12
AssociatedEntity
Name
Panteleimon Mavroudis
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ETD
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windows xp
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