Big Data Reaps Big Rewards in Drug Safety
Systems biology approach suggests existing drugs could be combined to reduce adverse effects
Embargo expired: 10/9/2013 2:00 PM EDT
Source Newsroom: Mount Sinai Medical Center
Newswise — Using the Food and Drug Administration's Adverse Event Reporting System (FAERS), a hospital electronic health records database, and an animal model, a team of researchers at the Icahn School of Medicine at Mount Sinai report that by adding a second drug to the diabetes drug rosiglitazone, adverse events dropped enormously. That suggests that drugs could be repurposed to improve drug safety, including lowering the risk of heart attacks.
The research is published online Oct. 9 in the journal Science Translational Medicine.
The approach is part of an emerging strategy known as systems pharmacology that integrates computer science, mathematical models, and animal models to examine how drugs work in cells.
Systems pharmacology shows that most drugs act by binding to targets that are part of complex networks within cells.
"Big data systems have a wealth of data, and when studied appropriately, can point to potentially safer combinations," said the study's lead author, Ravi Iyengar PhD, Dorothy H. and Lewis Rosenstiel Professor, Department of Pharmacology and Systems Therapeutics, and Director, Systems Biology Center, at the Icahn School of Medicine at Mount Sinai. "As an end in themselves, big data analyses must be considered preliminary, but findings can point to potentially safer combinations that can subsequently be tested in clinical trial," said Dr. Iyengar. "We may be able to use FDA-approved drugs to prevent adverse events."
In this study, investigators studied how drug combinations act through networks within cells, focusing on the diabetes drug rosiglitazone, an effective drug in controlling blood glucose. However, rosiglitazone has a serious side effect, increased heart attacks, which has restricted its use markedly.
Since most patients with diabetes take more than one drug and the FDA Adverse Event Reporting System (FDAERS) is freely available, investigators analyzed data from the FDAERS to see if second drugs could lower the rate heart attacks. In addition, investigators compared their results with Mount Sinai's electronic health records system.
Compared with many other commonly used second drugs, "we found that the drug exanatide, often given along with rosiglitazone to get better control of blood glucose, also very substantially reduced the heart attack rate in rosiglitazone users," said Dr. Iyengar. Using these findings, the investigators made some predictions of how these beneficial drug interactions might work in diabetic mice, finding that the heart attack rate declined.
"The beneficial effects of rosiglitazone and exenatide are not unique," explained Dr. Iyengar. " We found nearly 19,000 other drug combinations in the FDA database, where the second drug appears to reduce a wide range of side effects of the first drug. Other beneficial effects were demonstrated when lisinopril was added to a statin, where the rate of statin-associated rhabdomylosis, a kind of muscle tissue wasting, declined; when an H2 antagonist was added to SSRIs, it reduced completed suicide.
The research team stressed that the results are a valid starting point for developing clinical trials of safer drug combinations. To further drug safety, they urge researchers and clinicians to contribute to big databases, such as the Food and Drug Administration's Adverse Event Reporting System.
The research was supported by the National Institute of General Medical Sciences: NIGMS (grants GM071558, and GM 007280) of the National Institutes of Health.
Co-authors include Evren U. Azeloglu, PhD, Juan J. Badimon, PhD, Ludovic Benard, PhD, Yibang Chen, PhD, Chiara Giannarelli, MD/PhD, Joseph Goldfarb, PhD, Omri Gottesman, PhD, Roger J. Hajjar, MD/PhD, Mohammad U. Zafar, MD, and Shan Zhao, PhD from the Icahn School of Medicine at Mount Sinai; and Tomohiro Nishimura, PhD, from Keio University, Tokyo, Japan.
About the Systems Biology Center New York
Systems Biology Center New York is a trans-disciplinary center that uses systems approaches to study pathophysiological processes and drug action at Mount Sinai, a National Institute of General Medical Sciences National Center for Systems Biology. We are a highly collaborative group of researchers both basic and clinical, and educators from several universities in the New York area. Center investigators have expertise in genomics, biochemistry and molecular biology, proteomics, in cell biology and visualization of signaling reactions live cells, in tissue/organ physiology and pathophysiology, clinical imaging and in pharmacology. At the computational level we have expertise in statistical models, graph-theory network based analyses, mathematical biology and dynamical modeling including ODE, PDE and stochastic models. Melding the expertise of various disciplines, we work at various scales of biological organization to make substantive contributions to the emerging fields of systems pharmacology and precision medicine.
About the Mount Sinai Health System
The Mount Sinai Health System is an integrated health system committed to providing distinguished care, conducting transformative research, and advancing biomedical education. Structured around seven member hospital campuses and a single medical school, the Health System has an extensive ambulatory network and a range of inpatient and outpatient services—from community-based facilities to tertiary and quaternary care. Physicians and scientists are affiliated with the Icahn School of Medicine at Mount Sinai, which is ranked among the top 20 medical schools both in National Institutes of Health funding and by U.S. News & World Report.