Molly Brennan

The paper replicates the association between St6galnac1 and Paraprevotella abundance in stool samples from non-fasted HS rats, confirming the association across different experimental conditions.

This study performs a GWAS on cocaine self-administration in rats, identifying six genome-wide significant loci, including one linked to carboxylesterase genes involved in cocaine metabolism.

This study shows that higher addiction-like severity in rats predicts prolonged oxycodone withdrawal-induced allodynia, with stronger associations between self-administration behaviors and pain sensitivity.

The paper identifies incentive salience as the driver of cocaine self-administration escalation in rats, showing individual differences in pre-lever activity predict long-term intake.

This study finds that irregular estrous cycles in HS rats are associated with severe cocaine addiction-like behaviors, but estrous phase itself does not influence cocaine self-administration.

The paper shows that escalation of cocaine intake, progressive ratio responding, and continued use despite adverse consequences are highly correlated in rats, with sex differences in addiction-like behaviors.

This study shows that CRF1 antagonist R121919 and naltrexone restore prefrontal cortex functional connectivity during alcohol withdrawal through distinct mechanisms involving modularity and connectivity changes.

The paper identifies individual differences in oxycodone addiction-like behaviors in HS rats to uncover genetic factors contributing to vulnerability and resilience.

The paper identifies microbiome and metabolic vulnerabilities linked to oxycodone self-administration escalation and shows SCFAs have a causal role in addiction-like behaviors.

The paper tests individual differences in response to methadone, buprenorphine, and naltrexone in rats with opioid use disorder, finding varying efficacy based on addiction severity.

This study links gut microbiota composition to cocaine behavior in rats, showing that baseline microbial profiles predict addiction vulnerability.