Major factors determining corticosteroid receptor binding and pharmacodynamics will be measured and improved mathematical models for quantitating the pharmacokinetics and pharmacodynamics (PK/PD) of corticosteroids will be sought. These important drugs exert their hormonal, immunosuppressive, and anti-inflammatory effects by diffusion into cells, reversible binding to cytosolic receptors, and then either have direct effects on biochemical processes or produce inhibition or stimulation of gene/mRNA-mediated synthesis of diverse effector proteins or enzymes. Realistic and comprehensive PK/PD models of corticosteroid action are feasible which permit more mechanistic insights into drug, dosage, and interaction factors which determine their effects.
One specific aim i s to extend our current gene-mediated models of steroid PK/PD in rats (measuring steroid disposition, hepatic receptors and mRNA, and hepatic TAT mRNA and TAT enzyme) to account for chronic dose effects, which are often highly deleterious.
The second aim i s to generalize our """"""""fourth-generation"""""""" receptor/gene PK/PD model for methylprednisolone to other steroids based on advanced QSAR principles and the expectation that alterations in pharmacokinetics and receptor binding will account for differences in responses.
The third aim will be to evolve improved methods for assessing drug interactions for indirect response processes with focus on joint effects of prednisolone and COX-2 inhibitors.
The fourth aim seeks to utilize quantitative gene array techniques to compare types and time patterns of suppression and enhanced expression of diverse genes altered by corticosteroids. These studies will improve the pharmacologic rationale of corticosteroid therapy as well as continue the generation of important pharmacodynamic models which apply to drugs causing effects by complex and indirect mechanisms.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM024211-27
Application #
6605778
Study Section
Special Emphasis Panel (ZRG1-PTHA (01))
Program Officer
Okita, Richard T
Project Start
1977-07-01
Project End
2005-06-30
Budget Start
2003-07-01
Budget End
2004-06-30
Support Year
27
Fiscal Year
2003
Total Cost
$373,297
Indirect Cost
Name
State University of New York at Buffalo
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
038633251
City
Buffalo
State
NY
Country
United States
Zip Code
14260
Zhu, Xu; Shen, Xiaomeng; Qu, Jun et al. (2018) Proteomic Analysis of Combined Gemcitabine and Birinapant in Pancreatic Cancer Cells. Front Pharmacol 9:84
Pierre, Kamau; Rao, Rohit T; Hartmanshenn, Clara et al. (2018) Modeling the Influence of Seasonal Differences in the HPA Axis on Synchronization of the Circadian Clock and Cell Cycle. Endocrinology 159:1808-1826
Rao, Rohit T; Scherholz, Megerle L; Androulakis, Ioannis P (2018) Modeling the influence of chronopharmacological administration of synthetic glucocorticoids on the hypothalamic-pituitary-adrenal axis. Chronobiol Int 35:1619-1636
Zhu, Xu; Trueman, Sheryl; Straubinger, Robert M et al. (2018) Physiologically-based pharmacokinetic and pharmacodynamic models for gemcitabine and birinapant in pancreatic cancer xenografts. J Pharmacokinet Pharmacodyn 45:733-746
Li, Xiaobing; Jusko, William J; Cao, Yanguang (2018) Role of Interstitial Fluid Turnover on Target Suppression by Therapeutic Biologics Using a Minimal Physiologically Based Pharmacokinetic Model. J Pharmacol Exp Ther 367:1-8
Ayyar, Vivaswath S; Sukumaran, Siddharth; DuBois, Debra C et al. (2018) Modeling Corticosteroid Pharmacogenomics and Proteomics in Rat Liver. J Pharmacol Exp Ther 367:168-183
Rao, Rohit T; Androulakis, Ioannis P (2017) Modeling the Sex Differences and Interindividual Variability in the Activity of the Hypothalamic-Pituitary-Adrenal Axis. Endocrinology 158:4017-4037
Rao, Rohit T; Scherholz, Megerle L; Hartmanshenn, Clara et al. (2017) On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology. Comput Chem Eng 107:100-110
Ayyar, Vivaswath S; DuBois, Debra C; Almon, Richard R et al. (2017) Mechanistic Multi-Tissue Modeling of Glucocorticoid-Induced Leucine Zipper Regulation: Integrating Circadian Gene Expression with Receptor-Mediated Corticosteroid Pharmacodynamics. J Pharmacol Exp Ther 363:45-57
Li, Xiaonan; DuBois, Debra C; Almon, Richard R et al. (2017) Effect of Disease-Related Changes in Plasma Albumin on the Pharmacokinetics of Naproxen in Male and Female Arthritic Rats. Drug Metab Dispos 45:476-483

Showing the most recent 10 out of 184 publications