Staff View
Modeling times of maximum biomarker excretion

Descriptive

TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Modeling times of maximum biomarker excretion
SubTitle
PartName
PartNumber
NonSort
Identifier (displayLabel = ); (invalid = )
ETD_2443
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10003400001.ETD.000052346
Language (objectPart = )
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Public Health
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Biochemical markers--Evaluation
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Automobiles--Motors (Diesel)--Exhaust gas--Health aspects
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Diesel motor exhaust gas--Health aspects
Abstract
Analysis of biomarkers to detect levels of chemical exposure in humans is an important risk evaluation tool. For example, urine biomarkers such as 1-aminopyrene can be used to assess exposure levels to diesel exhaust (DE), an important public health concern. Toxic chemicals contained in DE and DE particles have demonstrated genotoxic and carcinogenic properties in experimental animals. A recent experiment evaluating the urine concentration of DE biomarkers was the impetus for this dissertation. One goal of the experiment, and the focus of this dissertation, was to characterize the excretion time course of the biomarker 1-aminopyrene. The times of maximum concentration in plasma or maximum excretion in urine have been typically summarized using non-parametric or asymptotic techniques based on individual subject-level values; however, there is limited information addressing confidence interval generation when sparse subject-level samples requiring population-modeling approaches are present. Therefore, there was a need to generate and evaluate an appropriate confidence interval approach when sparse sampling is present.
Pharmacokinetic (PK) modeling was used to fit a standard one-compartment urine excretion model to the data for estimation of the time of maximum excretion. Several variations of the PK model were explored and a model based on cumulative excretion rates was selected. Several statistical techniques for modeling PK data and calculating confidence intervals for the time of maximum excretion were compared including confidence intervals based on the first and second order delta methods, derived for this dissertation.
A comparison of confidence interval methods showed that when using: (1) within-subject Tmax values, coverages obtained using the non-parametric method were highest and often provide coverages close to the nominal 95% level; and (2) population-average Tmax values, confidence intervals generated using the first-order delta method provided the highest coverages, at approximately 93% when numerical approximation estimation methods were used. Subject response profiles for the 1-aminopyrene biomarker data were varied and led to a hypothesis that a mixture of more than one distribution of profiles may be present. Future exploration with data collected for more than 24-hours would be needed to further explore this hypothesis fully.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
ix, 176 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Dr.P.H.
Note (type = bibliography)
Includes bibliographical references (p. 169-173)
Note (type = statement of responsibility)
by Susan Huyck
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Huyck
NamePart (type = given)
Susan
NamePart (type = termsOfAddress)
NamePart (type = date)
1959-
Role
RoleTerm (authority = RULIB); (type = )
author
Description
DisplayForm
Susan Huyck
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Ohman-Strickland
NamePart (type = given)
Pamela
Role
RoleTerm (authority = RULIB); (type = )
chair
Affiliation
Advisory Committee
DisplayForm
Pamela Ohman-Strickland
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
Junfeng
Role
RoleTerm (authority = RULIB); (type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Junfeng Zhang
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Liu
NamePart (type = given)
Junfeng
Role
RoleTerm (authority = RULIB); (type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Junfeng Liu
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Lin
NamePart (type = given)
Yong
NamePart (type = termsOfAddress)
NamePart (type = date)
Role
RoleTerm (authority = RULIB); (type = )
internal member
Description
Affiliation
Advisory Committee
DisplayForm
Yong Lin
Name (ID = NAME-6); (type = personal)
NamePart (type = family)
Xu
NamePart (type = given)
Xu
Role
RoleTerm (authority = RULIB); (type = )
outside member
Affiliation
Advisory Committee
DisplayForm
Xu Steven Xu
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB); (type = )
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Bloustein Grad. School of Planning and Pub. Policy
Role
RoleTerm (authority = RULIB); (type = )
school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-01
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Bloustein Grad. School of Planning and Pub. Policy ETD Collection
Identifier (type = local)
rucore10003400001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3HH6K6X
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Notice
Note
Availability
Status
Open
Reason
Permission or license
Note
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Huyck
GivenName
Susan
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
Label
Place
DateTime
2010-01-21 11:21:52
Detail
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Susan Huyck
Affiliation
Rutgers University. Bloustein Grad. School of Planning and Pub. Policy
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
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.
Back to the top

Technical

ContentModel
ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
2488320
Checksum (METHOD = SHA1)
1511d39ab0d4c20b755cb356c7602b953c20f35f
Back to the top
Version 8.3.13
Rutgers University Libraries - Copyright ©2021