Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 300
- 试验地点
- 2
- 主要终点
- opioid use disorder at baseline based on the DSM-5 criteria
研究概览
简要总结
The primary goal of this proposal is to validate a novel genomic and microbiome predictive model that may be used to assess a person's risk of developing opioid use disorder (OUD). The following will be tested: (1) MODUS (Measuring risk for Opioid use Disorder Using SNPs), which is a genomic panel consisting of a set number of proven single nucleotide polymorphisms (SNP) that utilizes machine learning to determine an individual's risk; and (2) MICROUD (MICRObiome for Opioid Use Disorder), which will be a novel microbiome prediction panel for OUD risk. MODUS and MICROUD will be developed using existing public datasets with genomic and microbiome data (e.g., All of Us, Human Microbiome Project). During development of these predictive models, in parallel, an external prospective validation cohort will be recruited consisting of subjects from the University of California, San Diego, Veteran Affairs of San Diego, and Veteran Affairs of Palo Alto (each site with separate IRB). The hypothesis is that MODUS and MICROUD will have high predictive potential for identifying high risk patients for OUD.
详细描述
The primary goal of this proposal is to validate a novel genomic and microbiome predictive model that may be used to assess a person's risk of developing opioid use disorder (OUD). The following will be tested: (1) MODUS (Measuring risk for Opioid use Disorder Using SNPs), which is a genomic panel consisting of a set number of proven single nucleotide polymorphisms (SNP) that utilizes machine learning to determine an individual's risk; and (2) MICROUD (MICRObiome for Opioid Use Disorder), which will be a novel microbiome prediction panel for OUD risk. MODUS and MICROUD will be developed using existing public datasets with genomic and microbiome data (e.g., All of Us, Human Microbiome Project). During development of these predictive models, in parallel, an external prospective validation cohort will be recruited consisting of subjects from the University of California, San Diego, Veteran Affairs of San Diego, and Veteran Affairs of Palo Alto (each site with separate IRB). The hypothesis is that MODUS and MICROUD will have high predictive potential for identifying high risk patients for OUD.
Specific Aim 1. Validate a novel genomic predictive panel assay - termed MODUS - in a prospective observational study that aims to recruit 300 subjects (~200 from UCSD and VA San Diego) with a history of OUD. This genomic panel will be developed separately but then validated on the study population. Healthy control data will be used from a publicly-available de-identified genomic dataset (All of Us Research Program) .
Specific Aim 2. Validate a novel microbiome predictive panel assay - termed MICROUD - in a prospective observational study that aims to recruit 300 subjects (~200 from UCSD and VA San Diego) with a history of OUD. This microbiome panel will be developed separately but then validated on the study population. Healthy control data will be used from a publicly-available de-identified microbiome dataset (Human Microbiome Project).
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •diagnosis of OUD (active or in remission) defined by the DSM-5 criteria
- •age ≥ 18 years old
排除标准
- •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
- •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.
研究组 & 干预措施
Opioid Use Disorder
Subjects with a history of opioid use disorder
结局指标
主要结局
opioid use disorder at baseline based on the DSM-5 criteria
时间窗: baseline
risk of opioid use disorder based on genomics, social determinants of health, microbiome, and other clinical data. Patients with OUD will be enrolled and compared to healthy controls using data from external datasets such as NIH All of Us Research Program. Diagnosis of opioid use disorder will be based on the DSM-5 criteria for opioid use disorder
次要结局
- response to opioid use disorder treatment after 6 months from baseline based on the DSM-5 criteria(6 months)
- severity of opioid use disorder at baseline based on the DSM-5 criteria for opioid use disorder(baseline)
- opioid use disorder remission after 6 months from baseline based on the DSM-5 criteria for remission(6 months)
- co-substance use at baseline(baseline)
- Relapse to opioid use disorder after 6 months from baseline(6 months)
研究者
Rodney Gabriel
Associate Professor
University of California, San Diego