OBJECTIVE: Considerable research has been conducted on the relationship between alcohol consumption and metabolic syndrome. Although various standards for the amount and frequency of alcohol consumption have been suggested, a tool to measure individual alcohol use behavior against a consistent standard is required. Moreover, the association of alcohol use behavior with health should be examined on the basis of such a standard. In this study, we examined the relationships between alcohol use behavior according to the Alcohol Use Disorders Identification Test (AUDIT) and metabolic syndrome and its components in Korean women. METHODS: This study utilized data from the fifth Korean National Health and Nutrition Examination Survey, which was administered from 2010 through 2012. We investigated the relationships between alcohol use behavior and metabolic syndrome and its components in a sample of 2,906 women by using analysis of covariance and logistic regression analysis. RESULTS: After adjusting for confounding variables, alcohol use behavior was significantly associated with metabolic syndrome [odds ratio (OR) 2.877; 95% confidence interval (CI) 1.523–5.435 in the problem use group]. AUDIT score also was significantly related to abdominal obesity (OR 2.263; 95% CI 1.704–4.459 in the problem use group), hypertension (OR 3.377; 95% CI 1.871–6.095 in the problem use group), hypertriglyceridemia (OR 3.204; 95% CI 1.800–5.702 in the problem use group), and impaired fasting glucose (OR 3.034; 95% CI 1.721–5.348 in the problem use group). CONCLUSION: In this study, positive associations were observed between AUDIT score and risk of metabolic syndrome and its components.
Alcohol Drinking ; Confounding Factors (Epidemiology) ; Cross-Sectional Studies ; Fasting ; Female ; Glucose ; Humans ; Hypertension ; Hypertriglyceridemia ; Logistic Models ; Nutrition Surveys ; Obesity, Abdominal ; Prevalence

OBJECTIVE: Alteration in glutamatergic neurotransmission and dopaminergic dysfunction has been implicated in both the initiation and expression of addiction related behaviors. This pilot study was aimed to investigate the serum levels of glutamate and dopamine in adults with internet gaming disorder (IGD). METHODS: We measured serum levels of glutamate and dopamine in male participants with IGD (n=26) and age-matched healthy controls (n=25). Clinical interviews were performed to identify IGD and to rule out psychiatric comorbidities. Serum levels of glutamate and dopamine were examined by enzyme immunoassays using ELISA Kits. RESULTS: Serum levels of glutamate were lower among IGD than control (IGD: 24.184±12.303 μg/ml; control: 33.676±12.413μg/ml; t=2.742, p=0.008), while levels of dopamine did not differ between. Serum glutamate and dopamine levels did not correlate with gaming hours and exposure to game in the IGD group. But serum glutamate levels were positively correlated with the dopamine levels (r=0.360, p=0.013). CONCLUSION: Our results suggest that altered glutamatergic neurotransmission may contribute to the pathophysiology of IGD.
Adult* ; Comorbidity ; Dopamine ; Enzyme-Linked Immunosorbent Assay ; Glutamates ; Glutamic Acid* ; Humans ; Immunoenzyme Techniques ; Immunoglobulin D ; Internet* ; Male* ; Pilot Projects* ; Synaptic Transmission

Objective: The aim of this study was to investigate differentially expressed genes and their functions in the hippocampus and striatum after heroin administration in cynomolgus macaques of different ages. Methods: Cynomolgus monkeys were divided by age as follows: 1 year (A1, n = 2); 3 to 4 years (A2, n = 2); 6 to 8 years (A3, n = 2); and older than 11 years (A4, n = 2). After heroin was injected intramuscularly into the monkeys (0.6 mg/kg), we performed large-scale transcriptome profiling in the hippocampus (H) and striatum (S) using RNA sequencing technology. Some genes were validated with real-time quantitative PCR. Results: In the hippocampus, the gene expression of A1H was similar to that of A4H, while the gene expression of A2H was similar to that of A3H. Genes associated with the mitogen-activated protein kinase signaling pathway (STMN1, FGF14, and MAPT) and -aminobutyric acid-ergic synapses (GABBR2 and GAD1) were differentially expressed among control and heroin-treated animals. Differential gene expression between A1S and A4S was the least significant, while differential gene expression between A3S and A2S was the most significant. Genes associated with the neurotrophin signaling pathway (NTRK1 and NGFR), autophagy (ATG5), and dopaminergic synapses (AKT1) in the striatum were differentially expressed among control and heroin-treated animals. Conclusion These results suggest that even a single heroin exposure can cause differential gene expression in the hippocampus and striatum of nonhuman primates at different ages.