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A tool to reduce uncertainty in risk characterization

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TitleInfo
Title
A tool to reduce uncertainty in risk characterization
SubTitle
combining in vitro extraction methods and a cellular bioassay
Name (type = personal)
NamePart (type = family)
Hylton
NamePart (type = given)
Shavonne Nyoka
NamePart (type = date)
1983-
DisplayForm
Shavonne Nyoka Hylton
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Lioy
NamePart (type = given)
Paul J
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Paul J Lioy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Weisel
NamePart (type = given)
Clifford
DisplayForm
Clifford Weisel
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
co-chair
Name (type = personal)
NamePart (type = family)
Laskin
NamePart (type = given)
Jeffery
DisplayForm
Jeffery Laskin
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Buckley
NamePart (type = given)
Brian
DisplayForm
Brian Buckley
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Buckley
NamePart (type = given)
Timothy
DisplayForm
Timothy Buckley
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Risk assessors have utilized worst-case scenarios and the default assumption of 100% bioavailability to make ingestion exposure estimates. This leads to overestimation of risk by miscalculating the likelihood of a contaminant becoming bioavailable after exposure. Furthermore, bioavailability studies often involve animal models, which are time consuming and expensive. As a result, in vitro gastrointestinal models have been incorporated into risk characterization for the calculation of bioaccessibility. However, these models do not provide information on the effects of chemicals on the human body in the presence of low-level, chronic exposures, which are typical of environmental contaminants. The primary objectives of this research are two-fold: first, to examine how a cellular system is affected by heavy metal-contaminated soil after extraction by in vitro bioaccessibility techniques, and second to identify the utility of a hepatocellular model as a complementary tool for in vitro bioaccessibility models in risk assessment. The percent bioaccessibility measured for five metals, Pb, As, Cd, Ni and Cr, across nine soils, using an in vitro system that incorporated synthetic saliva, gastric and intestinal fluids, varied from <10% to nearly 100% with the bioaccessibility of most metals declining from the saliva/gastric fluid to the intestinal fluid due to the higher pH of the latter. However, no single generalization predicted the association across all metals in the various soils, indicative of the need to evaluate multiple metals’ bioaccessibility when estimating risk from ingestion of soil. Subsequent to in vitro extraction, the toxicity of the bioaccessible fraction of nine soils was assessed using an in vitro hepatocellular model. A multiple regression linear model that predicts hepatotoxicity from bioaccessible metal concentration accounted for more than 80% of the variability in our predictive model, highlighting the potential of exposing an in vitro hepatocellar (or other cell type) model to the bioaccessible fluid fraction derived from soil as a complimentary and precursor screening tool for more expensive in vivo examinations. Conversely, Ni only accounted for 26%, Cr for 28%, Pb for 0.4%, Cd for 2% and As for 11% of the model variability on an individual basis if toxicity of all metals are independent of each other. The use a human cellular system as a complimentary tool in risk assessment allows for the application of a mixed metal contaminant system as a more biologically relevant model than total metal content or metal bioaccessibility alone. Results from this study provided evidence of the utility of cellular model responses to bioaccessible fluids as a tool to evaluate contaminants since it examines mixture effects rather than single elements. Risk studies that evaluate exposure to mixtures of metals rather than individual metals better reflect real-world exposures to soils, which is of particular importance when assessing risk.
Subject (authority = RUETD)
Topic
Environmental Sciences
Subject (authority = ETD-LCSH)
Topic
Risk assessment
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_7235
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 200 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Shavonne Nyoka Hylton
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3NZ89SQ
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Hylton
GivenName
Shavonne
MiddleName
Nyoka
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-04-14 14:50:46
AssociatedEntity
Name
Shavonne Hylton
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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2016-04-18T20:19:22
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2016-04-18T20:19:22
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