A proteomic analysis of the dynamic response to hydrocodone administration in humans
EMSL Project ID
42694
Abstract
During Operations Iraqi Freedom and Enduring Freedom, our war-fighters have been subject to debilitating physical and psychological trauma. These injuries have correlated with increased substance abuse among active duty members. According to the 2008 Health Related Behaviors Survey of 28,500 active duty personnel, 20% of marines and 15% of soldiers had abused drugs in the 30 days before the survey. The most commonly abused drugs were prescription pain relievers, which are abused 3 times more than marijuana and amphetamines. According to the survey, prescription drug misuse in the military has tripled since 2005, while suicide incidence has doubled and drug overdose is the most common means of attempted suicide. The abuse and misuse of prescription analgesics has increased each quarter since 2002 as measured by several organizations that monitor drug abuse trends. In addition, our team has shown a rise in prescription drug misuse in soldiers shortly before overseas deployment as reported to poison control centers. Understanding the underlying physiological responses to drug abuse is challenging as it likely involves many interdependent biological processes. Therefore, we plan an innovative systems biology approach to understanding the physiological response to drug use that utilizes high-throughput high data content “omics� approaches such as proteomics along with computational analysis and statistical inference to begin to provide better treatment options for both users and prospective users. Preliminary data from similar studies of non-human primates provide clues regarding this response (J. Jacobs et al. unpublished data). Improved understanding of systemic responses to drug use, such as opioids, has the future potential of providing multivariate markers of opioids use that could be used for medical screening of patients who are at high risk of opioid abuse or nonprescription misuse.
Project Details
Start Date
2011-08-10
End Date
2014-08-17
Status
Closed
Released Data Link
Team
Principal Investigator
Team Members