SPECIFIC AIMS The overall goal of this project is to develop a better understanding and improved quantitative characterization of the complex dynamics that result from abnormal regulation of the respiratory, cardiovascular and metabolic control systems in important chronic diseases or clinical syndromes, such as hypertension. Type 2 diabetes, sickle cell disease, metabolic syndrome, and sleep disordered breathing (SDB). These problems will be addressed by employing a combination of structured (parametric) modeling and minimal (non-parametric) modeling approaches that we have successfully applied in previous cycles of this grant. The proposed project will build on the work that has been accomplished in the current funding cycle, addressing several important issues that remain unresolved and extending our modeiing efforts to more clinical applications. There are three major emphases in our proposed studies. The first pertains to developing models that can characterize the dynamics of the interactions among the participating physiological control systems (eg. respiratory, cardiovascular, metabolic and renal) as they are altered with time because of disease progression or therapy. The second lends recognition to the fact that the vast majority of computational models of human physiology (and pathophysiology) have been designed with the adult forms of the disorder or disease under study; in the next cycle, we will devote significant effort to developing models that pertain more specifically to the pediatric manifestations of these multi-factor disorders. A third focus is translate the computational methods and models that we have developed in this core project into clinical applications (biophysical markers) that can be used for early disease detection, noninvasive assessment of disease severity, and therapeutic decision- making.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB001978-33
Application #
9344636
Study Section
Special Emphasis Panel (ZEB1)
Project Start
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
33
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90033
Armoni Domany, Keren; Hossain, Md Monir; Nava-Guerra, Leonardo et al. (2018) Cardioventilatory Control in Preterm-born Children and the Risk of Obstructive Sleep Apnea. Am J Respir Crit Care Med 197:1596-1603
Sunwoo, John; Chalacheva, Patjanaporn; Khaleel, Maha et al. (2018) A novel cross-correlation methodology for assessing biophysical responses associated with pain. J Pain Res 11:2207-2219
Park, A Young J; Wang, Joshua; Jayne, Jordanna et al. (2018) Pharmacokinetics of Tedizolid in Plasma and Sputum of Adults with Cystic Fibrosis. Antimicrob Agents Chemother 62:
Chalacheva, Patjanaporn; Khaleel, Maha; Sunwoo, John et al. (2017) Biophysical markers of the peripheral vasoconstriction response to pain in sickle cell disease. PLoS One 12:e0178353
Geng, Kunling; Marmarelis, Vasilis Z (2017) Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems. IEEE Trans Neural Netw Learn Syst 28:2196-2208
Zhang, Yaping; Hu, Kaiqiang; Beumer, Jan H et al. (2017) RAD-ADAPT: Software for modelling clonogenic assay data in radiation biology. DNA Repair (Amst) 52:24-30
Bensman, Timothy J; Wang, Joshua; Jayne, Jordanna et al. (2017) Pharmacokinetic-Pharmacodynamic Target Attainment Analyses To Determine Optimal Dosing of Ceftazidime-Avibactam for the Treatment of Acute Pulmonary Exacerbations in Patients with Cystic Fibrosis. Antimicrob Agents Chemother 61:
Song, Gina; Pacini, Giovanni; Ahrén, Bo et al. (2017) Glucagon increases insulin levels by stimulating insulin secretion without effect on insulin clearance in mice. Peptides 88:74-79
Dolton, Michael J; D'Argenio, David Z (2017) Population-based meta-analysis of roxithromycin pharmacokinetics: dosing implications of saturable absorption and protein binding. J Antimicrob Chemother 72:1129-1136
Henley, Brandon Christian; Shin, Dae C; Zhang, Rong et al. (2017) Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Nonlinear Analysis. IEEE Trans Biomed Eng 64:1078-1088

Showing the most recent 10 out of 146 publications