A proof of concept study of tolcapone for pathological gambling: Relationships with COMT genotype and brain activation

作者：Grant Jon E^*; Odlaug Brian L; Chamberlain Samuel R; Hampshire Adam; Schreiber Liana R N; Kim Suck Won

来源：European Neuropsychopharmacology, 2013, 23(11): 1587-1596.

DOI：10.1016/j.euroneuro.2013.07.008

• Dopamine
• COMT
• Planning
• Cognition
• Tolcapone
• Gambling

Pathological gambling (PG) is a disabling disorder experienced by 1-3% of adults, and empirically validated treatments are lacking. Perturbations of prefrontal-dependent cognitive functions are implicated in the pathophysiology of PG. The enzyme catechol-O-methyl-transferase (COMT) is responsible for degradation of dopamine in the cortices and thereby is known to regulate such cognitive functions and their neural substrates. The objective of this study was to determine whether tolcapone, a COMT inhibitor, improves symptoms of PG and to explore whether such effects are dependent on COMT val-158-met polymorphism status and relate to concomitant changes in fronto-parietal activation. Twenty-four indviduals with PG were enrolled in an 8-week trial of oral tolcapone (100 mg/day titrated to 100 mg thrice/day) and 12 undertook pre- and post-treatment fMRI to examine brain activation during an executive planning task in a pre-defined fronto-parietal network. At baseline, patients with PG showed fronto-parietal under-activation versus controls during executive planning. Treatment was associated with statistically significant reductions on PG-Yale Brown Obsessive Compulsive Scale (PG-YBOCS), the extent of which correlated significantly with augmentation of planning-related fronto-parietal activation. Symptom improvement was also significantly more pronounced in subjects with the val/val COMT polymorphism. Tolcapone improved PG symptoms, and the extent of symptomatic improvement was significantly related to augmentation of frontoparietal activation (fMRI probe) and COMT status. Objective genetic and fMRI markers hold promise in the search for targeting treatment and elucidating brain mechanisms associated with optimal clinical outcomes.

• 出版日期2013-11