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  1. Hanim A, Mohamed IN, Mohamed RMP, Das S, Nor NSM, Harun RA, et al.
    Mini Rev Med Chem, 2020;20(17):1696-1708.
    PMID: 32579497 DOI: 10.2174/1389557520666200624122325
    Alcohol use disorder (AUD) is characterized by compulsive binge alcohol intake, leading to various health and social harms. Protein Kinase C epsilon (PKCε), a specific family of PKC isoenzyme, regulates binge alcohol intake, and potentiates alcohol-related cues. Alcohol via upstream kinases like the mammalian target to rapamycin complex 1 (mTORC1) or 2 (mTORC2), may affect the activities of PKCε or vice versa in AUD. mTORC2 phosphorylates PKCε at hydrophobic and turn motif, and was recently reported to be associated with alcohol-seeking behavior, suggesting the potential role of mTORC2-PKCε interactions in the pathophysiology of AUD. mTORC1 regulates translation of synaptic proteins involved in alcohol-induced plasticity. Hence, in this article, we aimed to review the molecular composition of mTORC1 and mTORC2, drugs targeting PKCε, mTORC1, and mTORC2 in AUD, upstream regulation of mTORC1 and mTORC2 in AUD and downstream cellular mechanisms of mTORCs in the pathogenesis of AUD.
    Matched MeSH terms: Alcoholism/genetics*
  2. George S, Chin CN
    Med J Malaysia, 1998 Sep;53(3):223-6.
    PMID: 10968157
    This paper reports the characteristics and psychopathology of alcohol dependents with alcohol induced psychotic disorder admitted to the Seremban Hospital. The method is that of a case study of all alcohol dependents with alcohol induced psychotic disorder admitted to the Psychiatric Ward, Hospital Seremban over 3 years (1993-1995). There were 34 subjects, 30 Indians, 3 Chinese and 1 Malay with a mean age of 43 years. 32 were men and predominantly of Social Class IV and V (91%). They had a mean duration of drinking of 14.2 years and had a mean weekly consumption of 69.5 units of alcohol. There was a family history of alcohol dependence in (44%). The majority (68%) consumed samsu with beer the second choice. Auditory hallucinations (26) and delusions (16) were common while visual hallucinations (3) and depression (2) were less frequent. Speech disorder occurred in 4 subjects. 2 developed delirium tremens and 1 died. Liver function test was normal in 55%. All except the death from delirium tremens responded to treatment with a combination of anxiolytics, thiamine and antipsychotics and were rapidly discharged. The mean stay was 7 days. However, (68%) did not return for follow up and only 4 were abstinent from alcohol at the time of follow up.
    Matched MeSH terms: Alcoholism/genetics
  3. Byrne EM, Psychiatric Genetics Consortium Major Depressive Disorder Working Group, Raheja UK, Stephens SH, Heath AC, Madden PA, et al.
    J Clin Psychiatry, 2015 Feb;76(2):128-34.
    PMID: 25562672 DOI: 10.4088/JCP.14m08981
    OBJECTIVE: To test common genetic variants for association with seasonality (seasonal changes in mood and behavior) and to investigate whether there are shared genetic risk factors between psychiatric disorders and seasonality.

    METHOD: Genome-wide association studies (GWASs) were conducted in Australian (between 1988 and 1990 and between 2010 and 2013) and Amish (between May 2010 and December 2011) samples in whom the Seasonal Pattern Assessment Questionnaire (SPAQ) had been administered, and the results were meta-analyzed in a total sample of 4,156 individuals. Genetic risk scores based on results from prior large GWAS studies of bipolar disorder, major depressive disorder (MDD), and schizophrenia were calculated to test for overlap in risk between psychiatric disorders and seasonality.

    RESULTS: The most significant association was with rs11825064 (P = 1.7 × 10⁻⁶, β = 0.64, standard error = 0.13), an intergenic single nucleotide polymorphism (SNP) found on chromosome 11. The evidence for overlap in risk factors was strongest for schizophrenia and seasonality, with the schizophrenia genetic profile scores explaining 3% of the variance in log-transformed global seasonality scores. Bipolar disorder genetic profile scores were also associated with seasonality, although at much weaker levels (minimum P value = 3.4 × 10⁻³), and no evidence for overlap in risk was detected between MDD and seasonality.

    CONCLUSIONS: Common SNPs of large effect most likely do not exist for seasonality in the populations examined. As expected, there were overlapping genetic risk factors for bipolar disorder (but not MDD) with seasonality. Unexpectedly, the risk for schizophrenia and seasonality had the largest overlap, an unprecedented finding that requires replication in other populations and has potential clinical implications considering overlapping cognitive deficits in seasonal affective disorders and schizophrenia.

    Matched MeSH terms: Alcoholism/genetics
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