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Modeling multisystem biological effects of multiroute exposures to air pollutants

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TitleInfo
Title
Modeling multisystem biological effects of multiroute exposures to air pollutants
Name (type = personal)
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Chao
NamePart (type = given)
Longfei
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Longfei Chao
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author
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Georgopoulos
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Panos G
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Panos G Georgopoulos
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Advisory Committee
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chair
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Pedersen
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Henrik
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Henrik Pedersen
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Ierapetritou
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Marianthi
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Marianthi Ierapetritou
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Advisory Committee
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internal member
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GOW
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ANDREW
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ANDREW GOW
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Advisory Committee
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outside member
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
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school
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Text
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theses
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2020
DateOther (type = degree); (qualifier = exact); (encoding = w3cdtf)
2020-10
Language
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English
Abstract
Nine out of ten people are breathing polluted air worldwide. Health concerns associated with human exposures to air pollutants, such as ozone and particulate matter (PM), have become a persisting and widespread problem around the globe. Interconnected, multiscale, mechanistic models were developed to study the exposure biology of air pollution in the respiratory, cardiovascular and integumentary systems, resulting from inhalation and dermal contact exposure routes. Lung function alterations were linked with ozone inhalation using a multiscale model that considers pulmonary surfactant depletion by ozone reactions, pulmonary inflammation after ozone exposure and the expansion / contraction of the alveolar units. A computational model for cardiovascular effects of air pollution was developed and implemented for human PM exposure using heart rate variability (HRV) as the health endpoint. Specific considerations were given to PM-initiated excessive oxidative stress and pro/ anti-inflammatory signaling at cellular level, neuroendocrine-immune system interactions and systemic inflammation propagation. The skin biology after air pollutant exposure was studied by mechanistic models that respectively addressed skin surface reactions, AhR activation and cell cycle regulation in keratinocytes. Inflammatory responses are often evoked when air pollutants exert their detrimental effects in any physiological system mentioned above. Macrophage is an essential type of immune cell that plays critical roles in the regulation of inflammation. An agent-based model that spans molecular, cellular and tissue levels was developed aiming at reproducing and elucidating the dynamics of macrophage polarization under various complex activation signals, while considering system stochasticity and heterogeneity. Key factors in signaling cascades were included in this model, and critical underlying regulatory controls influencing the polarization process were explored and quantified. All models were evaluated with data of in vitro and in vivo measurements from different sources. These models formed a platform that integrates physiological, biochemical and experimental information for various organ systems to mechanistically investigate biological effects initiated by air pollutants.
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_11274
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application/pdf
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text/xml
Extent
1 online resource (xv, 197 pages)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Genre (authority = ExL-Esploro)
ETD doctoral
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-sfmt-n747
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Chao
GivenName
Longfei
Role
Copyright Holder
RightsEvent
Type
Permission or license
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2020-10-01 10:56:06
AssociatedEntity
Name
Longfei Chao
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
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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

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2020-09-30T17:07:32
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2020-10-02T12:11:50
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