Fig. 1: AUD-related behaviors of the < 2 crit and ≥ 2 crit drinkers.
From: Hippocampal Cofilin and CFL1 gene variants are linked to Alcohol Use Disorder phenotypes
(A) IntelliCage setup and experimental timeline. Mice (n = 58) were habituated to the cage, trained to drink alcohol (4–12%) and AUD-related behaviors were tested: motivation to drink alcohol (M), extinction of alcohol seeking during withdrawal (E), alcohol seeking during cue relapse (CR), alcohol drinking during alcohol relapse (AR), and alcohol seeking during a persistence test (P). During the periods of free access to alcohol (FA) mice had unlimited access to alcohol (10%). Alcohol availability was signaled by a cue light in a reward corner. (B) Frequency of < 2 crit and ≥ 2 crit drinkers and (C) Spearman correlations between AUD Index and AUD score. ntotal = 58, nAI0 = 12, nAI1 = 24, nAI2 = 13, nAI3 = 4, nAI4 = 4, nAI5 = 1. (D) Spearman correlations between AUD Index (AI) and AUD-related behaviors. Each dot on the graphs represents one animal. Linear regression lines ± 95% confidence intervals are shown; Spearman correlation (r) and ANCOVA results are given for raw data. (E, F) Spearman correlations between AUD Index, (E) mice activity and (F) alcohol consumption during 4–12% and FA phases. Each dot on the graphs represents one animal. Linear regression lines ± 95% confidence intervals are shown; Spearman correlation (r) and ANCOVA results are given for raw data. (G) Spearman correlations (r) between AUD index (AI) and AUD-related behaviors, activity (A) and alcohol consumption (AC). (H) Principal component analysis (PCA) of AUD behaviors. Each dot on the PCA graph (left) represents one behavioral measure [motivation to drink alcohol (M), extinction of alcohol seeking during withdrawal (E) and cue relapse (CR), alcohol drinking during alcohol relapse (AR), alcohol seeking during a persistence test (P), activity (A) and alcohol consumption (AC)]. (right) Proportion of variance explained by PCs.
