New Research Examines at Link Between DNA and Opioid Addiction
Bentley University and Gravity Diagnostics have entered into a partnership to conduct research into whether a person’s DNA can predict susceptibility to opioid addiction. The results of this work could give doctors prescribing pain medication an indication of how likely a patient is to become addicted. It could also predict how well patients who already have an opioid addiction problem will respond to specific treatments.
From Prescription Opioid Use to Addiction
According to the National Institute on Drug Abuse (NIDA[1]), between 21-29 percent of chronic pain patients don’t take their medications properly and more than 115 people lose their lives due to opioid overdose every day. The majority (80 percent) of heroin users began their slide toward this illicit drug by misusing prescription opioid pain relievers.
Researchers will examine individuals’ DNA to discover how susceptible this factor makes them become opioid-dependent. For people who have already become addicted to opioids, the scientists will examine their DNA to determine whether they are likely to respond well to both opioid and non-opioid treatments.
The results of this work could have a significant influence on doctors’ decisions about whether to prescribe opioids to specific patients. When a physician does make the choice to prescribe opioid pain medication, a patient’s DNA profile may influence how much of the medication he is prescribed. The research results can also influence how doctors treat patients with a history of addiction.
Partnership Includes Multiple Departments at Bentley
The partnership[2], which will last three years, will include faculty from several departments at Bentley: Natural and Applied Sciences, Sociology and Economics. A public health geneticist will also be on the team to provide assistance with research. Bentley students will enter and process data, and write computer scripts.
Gravity Diagnostics, a Northern Kentucky-based laboratory, is providing a $360,000.00 grant to finance the work. Bentley was selected as a research partner because “[it is] doing successful research that is relevant to the world today.”
Data Analytics First Phase in Research
In the initial phase of the research, data analytics will be used to pinpoint the genetic features that are the best predictors for addiction and responses to treatment. Once they have been identified, these features and predictions will be tested by comparing them to DNA samples taken from active opioid addicts and those in recovery.
The goal is to discover why some people become addicted to substances quickly, while others can use the same drug and seem to be resistant to physical addiction for some time.
Sources:
[1] https://www.drugabuse.gov/drugs-abuse/opioids/opioid-overdose-crisis
[2] https://www.bentley.edu/prepared/can-your-dna-predict-opioid-addiction
