METHODS: Seventeen patients with alcohol dependence admitted for de-addiction treatment and 12 healthy controls were enrolled in the study. Blood samples were collected at baseline, after one-week, and after one-month, and CD200 levels were measured using enzyme-linked immunosorbent assay kit and compared with the healthy controls.
RESULTS: The serum level of the neuroimmune regulatory protein CD200 in alcohol dependent group (at baseline) was significantly lower compared to healthy controls (p=0.003), and increased after one-week, and one-month period.
CONCLUSION: The present study indicates that decrease of CD200 serum levels in alcohol dependent patients and its rise during alcohol withdrawal and abstinence may provide a preliminary evidence of the role of neuroimmune regulatory proteins in neuroadaptation during alcohol withdrawal.
OBJECTIVES: This study examined the relationship between exposure to teacher violence and mental health problems.
PARTICIPANTS AND SETTING: An international sample of young adults aged 18 to 24 (N = 283).
METHODS: Participants completed self-report measures of childhood trauma, exposure to teacher violence, depressive symptoms, post-traumatic stress, and alcohol misuse.
RESULTS: Exposure to teacher violence could be reliably and validly measured using the Teacher Violence Scale (TVS). Current mental health problems - including depressive symptoms, post-traumatic stress, and alcohol misuse - were associated with exposure to teacher violence during high school years, but not with childhood non-betrayal trauma.
CONCLUSIONS: Our findings expand the application of the betrayal trauma theory to school settings and point to the importance of preventing and managing teacher violence. It is important to provide more support and training to teachers and enhance monitoring measures in schools. More research on the prevalence and correlates of exposure to teacher violence is needed. We also provided first evidence supporting the reliability and validity of the English version of the TVS to facilitate future research.
OBJECTIVES: To identify novel biomarkers able to discriminate between alcohol-dependent, non-AD alcohol drinkers and controls using metabolomics.
METHOD: Urine samples were collected from 30 alcohol-dependent persons who did not yet start AD treatment, 54 social drinkers and 60 controls, who were then analysed using NMR. Data analysis was done using multivariate analysis including principal component analysis (PCA) and orthogonal partial least square-discriminate analysis (OPLS-DA), followed by univariate and multivariate logistic regression to develop the discriminatory model. The reproducibility was done using intraclass correlation coefficient (ICC).
RESULTS: The OPLS-DA revealed significant discrimination between AD and other groups with sensitivity 86.21%, specificity 97.25% and accuracy 94.93%. Six biomarkers were significantly associated with AD in the multivariate logistic regression model. These biomarkers were cis-aconitic acid, citric acid, alanine, lactic acid, 1,2-propanediol and 2-hydroxyisovaleric acid. The reproducibility of all biomarkers was excellent (0.81-1.0).
CONCLUSION: This study revealed that metabolomics analysis of urine using NMR identified AD novel biomarkers which can discriminate AD from social drinkers and controls with high accuracy.