Our objective is to review the evidence
on the relationship between the hypertriglyceridemic waist phenotype and the risk of CVD and Type 2 diabetes as well as to discuss how to identify and manage individuals who have this high-risk obesity phenotype.”
“Voltage-gated sodium channel genes are associated with idiopathic generalized epilepsy. Our group preciously identified a suggestive new locus on chromosome 11q22.1-23.3 in a five-generational Chinese epileptic family with generalized tonic-clonic seizure. SCN2B, SCN3B and SCN4B, which located at 11q22.1-23.3 locus, selleck chemicals were chosen as candidate genes for this family. In the present study, genomic DNA was extracted in six affected family members. All exons of SCN2B, SCN3B and SCN4B SB203580 cell line were sequenced using direct DNA
sequence analysis. The results showed that no mutation or polymorphism of coding regions of SCN2B, SCN3B and SCN4B was detected in the tested family members. Therefore, SCN2B, SCN3B and SCN4B are not major susceptibility genes contributed to our large family.”
“Background: This study aims to estimate general and racial-ethnic specific cumulative probability of developing dependence among nicotine, alcohol, cannabis or cocaine users, and to identify predictors of transition to substance dependence.
Methods: Analyses were done for the subsample of lifetime nicotine (n = 15,918), alcohol (n = 28,907), cannabis (n = 7389) or cocaine (n = 2259) users who participated in the first and second wave of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC). Discrete-time survival analyses were implemented to estimate the cumulative probability of transitioning from use to dependence and to identify predictors of transition to dependence.
Results: The cumulative NSC23766 clinical trial probability estimate of transition to dependence was 67.5% for nicotine users, 22.7% for alcohol users, 20.9% for cocaine users, and 8.9% for cannabis users. Half of the cases of dependence on nicotine, alcohol, cannabis and cocaine were observed approximately 27, 13, 5 and 4 years after use
onset, respectively. Significant racial-ethnic differences were observed in the probability of transition to dependence across the four substances. Several predictors of dependence were common across the four substances assessed.
Conclusions: Transition from use to dependence was highest for nicotine users, followed by cocaine, alcohol and cannabis users. Transition to cannabis or cocaine dependence occurred faster than transition to nicotine or alcohol dependence. The existence of common predictors of transition dependence across substances suggests that shared mechanisms are involved. The increased risk of transition to dependence among individuals from minorities or those with psychiatric or dependence comorbidity highlights the importance of promoting outreach and treatment of these populations. Published by Elsevier Ireland Ltd.