Nonsteroidal anti-inflammatory drugs (NSAIDs) are consumed by tens of millions worldwide. Although they relieve pain and inflammation, we understand poorly their mechanism of action. They also cause serious gastrointestinal and cardiovascular adverse effects and are thought to have caused thousands of deaths. Despite enrolling more than 100,000 patients in randomized trials, we still do not know the NSAID of choice for patients with arthritis and heart disease or if NSAIDs differ in clinical efficacy. Here we propose a paradigm shifting, strategic approach to harvest benefit and manage risk by personalizing therapy with NSAIDs. Data from studies from yeast, mammalian cells, zebrafish, mice and humans will be integrated to develop signaling networks that reflect perturbation by model NSAIDs and that generate hypotheses ultimately addressed by prospective, randomized trials in humans. Our hope is that these iteratively refined models, progressively informed by human data, will lead to algorithms of incremental value to clinicians in the prediction of efficacy and adverse effects. This interdisciplinary strategy will deliver innovative tools and technologies, quantitative models and biomarkers of drug response and if successful will allow more rational prescription of NSAIDs to minimize risk and maximize benefit to individuals, creating a novel paradigm for the development and approval of drugs, the design of randomized trials and the treatment of chronic disease.

Public Health Relevance

Drugs are prescribed based on detection of large average signals of effectiveness and hazard. This proposal attempts to refine the use of nonsteroidal anti-inflammatory drugs so that they are used in patients individually most likely to benefit and least likely to suffer adverse effects.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HL117798-02
Application #
8516094
Study Section
Special Emphasis Panel (ZGM1-PPBC-0 (GL))
Program Officer
Srinivas, Pothur R
Project Start
2012-08-01
Project End
2017-05-31
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
2
Fiscal Year
2013
Total Cost
$3,720,420
Indirect Cost
$733,153
Name
University of Pennsylvania
Department
Pharmacology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Ricciotti, Emanuela; Castro, Cecilia; Tang, Soon Yew et al. (2018) Cyclooxygenase-2, Asymmetric Dimethylarginine, and the Cardiovascular Hazard From Nonsteroidal Anti-Inflammatory Drugs. Circulation 138:2367-2378
Theken, Katherine N; Grosser, Tilo (2018) Weight-adjusted aspirin for cardiovascular prevention. Lancet 392:361-362
Lin, Nan; Shay, Jessica E S; Xie, Hong et al. (2018) Myeloid Cell Hypoxia-Inducible Factors Promote Resolution of Inflammation in Experimental Colitis. Front Immunol 9:2565
Li, Xinzhi; Ballantyne, Laurel L; Crawford, Mackenzie C et al. (2018) Isoform-Specific Compensation of Cyclooxygenase (Ptgs) Genes during Implantation and Late-Stage Pregnancy. Sci Rep 8:12097
Ocana, Jesus A; Romer, Eric; Sahu, Ravi et al. (2018) Platelet-Activating Factor-Induced Reduction in Contact Hypersensitivity Responses Is Mediated by Mast Cells via Cyclooxygenase-2-Dependent Mechanisms. J Immunol 200:4004-4011
Grosser, Tilo; Naji, Ali; FitzGerald, Garret A (2018) Urinary Prostaglandin Metabolites: An Incomplete Reckoning and a Flush to Judgment. Circ Res 122:537-539
Liu, Tianyun; Ish-Shalom, Shirbi; Torng, Wen et al. (2018) Biological and functional relevance of CASP predictions. Proteins 86 Suppl 1:374-386
Hao, Huifeng; Hu, Sheng; Wan, Qing et al. (2018) Protective Role of mPGES-1 (Microsomal Prostaglandin E Synthase-1)-Derived PGE2 (Prostaglandin E2) and the Endothelial EP4 (Prostaglandin E Receptor) in Vascular Responses to Injury. Arterioscler Thromb Vasc Biol 38:1115-1124
Mazaleuskaya, Liudmila L; Salamatipour, Ashkan; Sarantopoulou, Dimitra et al. (2018) Analysis of HETEs in human whole blood by chiral UHPLC-ECAPCI/HRMS. J Lipid Res 59:564-575
Chen, Lihong; Yang, Guangrui; Zhang, Jiayang et al. (2018) Time-Dependent Hypotensive Effect of Aspirin in Mice. Arterioscler Thromb Vasc Biol 38:2819-2826

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