The transition to addiction: repeat dopamine D2/3 receptor PET scans in high-risk volunteers
M. Nikolic1, M. Iqbal2, N. Palacio1, C. Caswell1, S. Cox3, J. Séguin4, G. Masserweh5, F. Vitaro6, M. Brendgen7, S. Parent6, M. Boivin8, S. Côté9, R. Tremblay6, N. Castellanos-Ryan6, M. Leyton3
1McGill University, Integrated Program in Neuroscience, Montreal, Canada, 2McGill University, Psychology, Montreal, Canada, 3McGill University, Psychiatry, Montreal, Canada, 4Université de Montréal, Départment de Psychiatrie et d’Addictologie, Montreal, Canada, 5McGill University, McConnell Brain Imaging Centre, Montreal, Canada, 6Université de Montréal, School of Psychoeducation, Montreal, Canada, 7Université de Québec à Montréal, Psychology, Montreal, Canada, 8Université de Laval, Psychology, Quebec City, Canada, 9Université de Montréal, Department of Social and Preventative Medicine, Montreal, Canada
Background: One of the best-replicated findings in biological psychiatry is that people with substance use disorders (SUDs) have low dopamine D2/3 receptor availability. It remains controversial, however, whether this is a pre-existing vulnerability trait or an effect of heavy drug use.
Aims & Objectives: To address the above question, we conducted repeat positron emission tomography (PET) scans in young adults before and after they developed an SUD.
Method: PET scans with the high-affinity D2/3 receptor ligand, [¹⁸F]fallypride, were conducted in longitudinally followed youth at ages 18 (Wave-1, n=58) and 25 (Wave-2, n=47). Binding potential (BPND) values were derived for 12 striatal and extrastriatal regions of interest (ROIs). Linear mixed-effects models examined effects of Group (Emerging SUD vs Control), Time, and ROI, including all two- and three-way interactions. Separate mixed-effects models decomposed substance use into within-person change (Wave-2 minus Wave-1) and between-person averages across waves to predict changes in BPND. Post hoc comparisons and correlations were Bonferroni- and Benjamini–Hochberg-corrected, respectively. Since the PET scans were 90 minutes, we confirmed that derived striatal BPND values corrected highly with those from 180-min scans (r ≥ 0.86, p < 0.0001).
Results: As reflected by a Group x Wave x ROI interaction (p < 0.001), Wave-1 (age 18) BPND values were higher in the Emerging SUD than Control group in the ventral (VS; p = 0.02), associative (AS; p = 0.050), and sensorimotor striatum (SMS; p < .001). At Wave-2 (age 25), BPND values were lower in the Emerging SUD than Control group in the AS (p < 0.001) and SMS (p < 0.001). During the intervening seven years, both groups exhibited decreases in BPND values, but the magnitude of these decreases was greater in those who developed an SUD in the AS (p < 0.001), SMS (p < 0.001), and VS (p < 0.001). Similar group differences were observed for participants who developed any DSM-5 disorder, with significantly greater Wave-1 to Wave-2 BPND declines in the AS (p = 0.003) and SMS (p < 0.001). Alcohol was the most commonly used substance, alcohol use disorder was the most common SUD, and individual differences in lifetime alcohol use occasions correlated negatively with Wave-2 BPND values (AS: r = –0.363, p = 0.017; SMS: r = –0.332, p = 0.030). Greater increases in alcohol use from Wave-1 to Wave-2 predicted larger decreases in striatal BPND (VS: β = −0.004, p < 0.001; AS: β = −0.003, p < 0.001; SMS: β = −0.004, p < 0.001), and heavier drinkers on average had lower BPND (AS: β = −0.001, p = 0.033; SMS: β = −0.003, p < 0.001). None of these effects were influenced by sex or driven by stressful life events (all p > 0.221).
Discussion & Conclusions: This study provides the first longitudinal evidence in humans that striatal D2/3 receptor availability is elevated in high-risk participants prior to the onset of an SUD (and other DSM-5 disorders) and then declines in those who develop a disorder, plausibly reflecting compensatory responses to repeated drug-induced dopamine surges.
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