Using AI and genetic data to predict opioid addiction risk
Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction
This study is trying to see if a new method using genetic and gut bacteria information can help predict who is at risk of developing opioid addiction.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 300 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University of California, San Diego Academic / other |
| Locations | 1 site (La Jolla, California) |
| Trial ID | NCT06540105 on ClinicalTrials.gov |
What this trial studies
This study aims to validate a predictive model that assesses the risk of developing opioid use disorder (OUD) using genomic and microbiome data. It will utilize two main components: MODUS, a genomic panel based on single nucleotide polymorphisms (SNPs) analyzed through machine learning, and MICROUD, a microbiome prediction panel. The study will recruit approximately 300 participants with a history of OUD from various sites, including the University of California, San Diego, and Veteran Affairs facilities. The goal is to develop and validate these models using existing public datasets alongside new data from the recruited cohort.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older with a diagnosis of opioid use disorder, either active or in remission.
Not a fit: Patients who are pregnant, children, or those with chronic opioid use not consistent with OUD diagnosis may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could provide a reliable method for identifying individuals at high risk for opioid addiction, enabling early intervention and prevention strategies.
How similar studies have performed: While the use of genomic and microbiome data in addiction prediction is an emerging field, similar studies have shown promise in other areas of addiction research, indicating potential for success.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * diagnosis of OUD (active or in remission) defined by the DSM-5 criteria * age ≥ 18 years old Exclusion Criteria: * inability to participate independently with the study (i.e. dementia) * chronic opioid use that is not consistent with a diagnosis of OUD * patients that are pregnant * children * institutionalized individuals * non-English speaking subjects as there are several surveys without appropriate translation and with sensitive information (e.g., questions about mental health and history of drug use) that is required to complete the study.
Where this trial is running
La Jolla, California
- University of California, San Diego — La Jolla, California, United States (Recruiting)
Study contacts
- Principal investigator: Rodney A Gabriel, MD — University of California, San Diego
- Study coordinator: Rodney A Gabriel, MD
- Email: ragabriel@health.ucsd.edu
- Phone: 8586637747
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.