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Novel pharmacokinetic/pharmacodynami...

Gupta, Neeraj.

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Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects./
Author:	Gupta, Neeraj.
Description:	164 p.
Notes:	Adviser: Peter Veng-Pedersen.
Contained By:	Dissertation Abstracts International67-07B.
Subject:	Health Sciences, Pharmacology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225616
ISBN:	9780542795343

Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects.
Gupta, Neeraj.

Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects. - 164 p.

Adviser: Peter Veng-Pedersen.

Thesis (Ph.D.)--The University of Iowa, 2006.

Diabetes is characterized by progressive loss of beta-cell function, regardless of whether insulin resistance is present. At diagnosis, up to 50% of beta cell function has already been lost. So, it is important to kinetically assess in-vivo beta-cell function by precise measurement of first phase insulin secretion, which is an earliest detectable defect in type-2 diabetes. No pharmacokinetic/pharmacodynamic (PK/PD) model comprehensively reflects the physiologic events occurring within and exterior to the beta-cells based on new knowledge of the beta cell granule pools.

ISBN: 9780542795343Subjects--Topical Terms:

1017717
Health Sciences, Pharmacology.

Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects.
LDR:03179nam 2200313 a 45 001 964054
005 20110901
008 110901s2006 eng d
020 $a 9780542795343
035 $a (UMI)AAI3225616
035 $a AAI3225616
040 $a UMI $c UMI
100 1 $a Gupta, Neeraj. $3 1033673
245 1 0 $a Novel pharmacokinetic/pharmacodynamic investigation for identification of pre-diabetic subjects.
300 $a 164 p.
500 $a Adviser: Peter Veng-Pedersen.
500 $a Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 3727.
502 $a Thesis (Ph.D.)--The University of Iowa, 2006.
520 $a Diabetes is characterized by progressive loss of beta-cell function, regardless of whether insulin resistance is present. At diagnosis, up to 50% of beta cell function has already been lost. So, it is important to kinetically assess in-vivo beta-cell function by precise measurement of first phase insulin secretion, which is an earliest detectable defect in type-2 diabetes. No pharmacokinetic/pharmacodynamic (PK/PD) model comprehensively reflects the physiologic events occurring within and exterior to the beta-cells based on new knowledge of the beta cell granule pools.
520 $a The main objectives are: (1) to quantify beta-cell function using a new mechanistic PK/PD model by identifying physiological parameters for differentiation of the glucose-insulin regulation, (2) to investigate pancreatic responsiveness in lean and obese children using a new model that is compared to a published minimal model, (3) to perform PK/PD analysis for differentiation of beta cell function in a 18 month follow up study in lean and obese children, (4) to develop and validate a predictive model for developing diabetes in a high risk population.
520 $a Our PK/PD model was able to account for dynamic pattern of insulin secretion to glucose, by various physiological parameters within and exterior to beta cells, including first phase secretion of insulin. The proposed model was able to kinetically determine secretory differences in first phase secretion of insulin (given by parameter kg in our model) between lean and obese non-diabetic prepubertal children and also in a follow-up study designed to track the progression of insulin secretory changes over a period of 18-months. In subjects with family history of diabetes, our predictive model using information from body mass index and insulin concentration data, can better identify subjects that will develop diabetes later in their life than current predictions based on known risk factors.
520 $a Our proposed models have shown promise to improve our ability to predict the development of type-2 diabetes and may also be used as a new screening test for early detection of this important disorder that will allow early targeting of therapies and interventions directed at disease prevention.
590 $a School code: 0096.
650 4 $a Health Sciences, Pharmacology. $3 1017717
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0419
690 $a 0573
710 2 0 $a The University of Iowa. $3 1017439
773 0 $t Dissertation Abstracts International $g 67-07B.
790 $a 0096
790 1 0 $a Veng-Pedersen, Peter, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225616