Jackson Laboratory

Genetic and Microbiome Control of Addiction-like Behaviors in Mice - Project Summary the Research Proposal Addresses the Urgent Need for Predictive Biomarkers and Pharmacological Treatments for Cocaine Use Disorder (cud), a Highly Heritable Disease Affecting Millions Worldwide. Despite Advances in Understanding the Genetic, Cellular, and Circuit Mechanisms of Cud, Effective Treatments Remain Elusive. the Proposal Highlights the Gut Microbiome as a Significant Behavioral Modifier, Influencing Brain Function and Behavior Through Metabolites Like Short-chain Fatty Acids (scfas). Recent Studies Suggest That the Gut Microbiome Can Impact Addiction-related Behaviors, Making It a Promising Target for Novel Therapeutic Approaches. the Study Proposes a Paradigm Shift From Traditional Brain-centric Addiction Research to a Focus on the Gut-brain Axis. Advanced Techniques Such as Metagenomic Whole Genome Shotgun Sequencing (MWGS) and Untargeted Metabolomics Will Be Used to Gain Functional Insights Into the Microbiome. the Approach Involves Using Genetically Diverse Mouse Populations to Model Addiction-related Behaviors and Study the Gut-brain Axis. Behavioral Assays Will Assess Novelty-seeking, Anxiety, and Cocaine Sensitization, While Microbiome and Metabolomics Analyses Will Identify Genetic Loci Associated With These Behaviors. the Proposal Emphasizes the Integration of Genetic, Microbial, and Neural Data to Construct Multi-omics Causal Networks, Advancing Beyond Associations to Establish Causation. Experimental Validation Will Involve Gene Editing, Microbiome or Metabolite Interventions, and Fecal Transplants to Confirm Findings and Assess Their Translational Potential. the Study Aims to Identify Specific Microbes and Metabolites That Can Modulate Addiction- Related Behaviors, Ultimately Developing Predictive Biomarkers and Therapeutic Approaches for Cud. Expected Outcomes Include Mapping Quantitative Trait Loci (QTLS) for Microbial Abundance and Behaviors, Constructing Causal Networks, and Identifying Behavioral Modifiers. the Research Will Leverage Extensive Pre- Existing Datasets and Generate New Data to Uncover Novel Molecular Mechanisms in Addiction. the Findings Will Be Made Publicly Available, Facilitating Further Research and Potential Clinical Applications. This Comprehensive Approach Aims to Significantly Advance the Field of Addiction Research and Contribute to the Development of Effective Treatments for Cud.