Multiomic Network Analysis Identifies Dysregulated Neurobiological Pathways in Opioid Addiction.

ABSTRACT:

Background

Opioid addiction is a worldwide public health crisis. In the United States, for example, opioids cause more drug overdose deaths than any other substance. However, opioid addiction treatments have limited efficacy, meaning that additional treatments are needed.

Methods

To help address this problem, we used network-based machine learning techniques to integrate results from genome-wide association studies of opioid use disorder and problematic prescription opioid misuse with transcriptomic, proteomic, and epigenetic data from the dorsolateral prefrontal cortex of people who died of opioid overdose and control individuals.

Results

We identified 211 highly interrelated genes identified by genome-wide association studies or dysregulation in the dorsolateral pre

SUBMITTER: Sullivan KA 

PROVIDER: S-EPMC12119972 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature