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  1. Chaturvedi A, Rao G, Praharaj SK, Guruprasad KP, Pais V
    Alcohol Alcohol, 2020 Jun 25;55(4):391-394.
    PMID: 32363396 DOI: 10.1093/alcalc/agaa033
    AIM: Chronic alcohol consumption can activate and dysregulate the neuroimmune system which leads to neuroinflammation. Neuroimmune regulatory proteins (NIReg) (e.g. Cluster of Differentiation 200 (CD200)) are the regulators of innate immune response and are responsible for silencing the innate immunity and suppression of inflammation. In this study, we explored the changes of serum levels of CD200 in patients with alcohol dependence at baseline, after one-week alcohol withdrawal and after one-month of alcohol abstinence.

    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.

    Matched MeSH terms: Alcoholism/blood*
  2. Maneesh M, Dutta S, Chakrabarti A, Vasudevan DM
    Indian J. Physiol. Pharmacol., 2006 Jul-Sep;50(3):291-6.
    PMID: 17193902
    Ethanol is a testicular toxin and it causes fertility abnormalities with low sperm count and impaired sperm motility in men. The present study was designed to investigate plasma testosterone level and hypothalamic pituitary gonadal (HPG) axis function in alcoholic men and also effect of ethanol on systemic oxidative stress. Forty six male alcohol abusers in the age group 20-40 years were selected. Fifty five, males in the same age group served as control. Alcohol abusers had significantly low plasma testosterone with low luteinizing hormone and follicle stimulating hormone. In addition they had significantly high thiobarbituric acid reactive substances (TBARS), superoxide dismutase and glutathione S-transferase, and low glutathione, ascorbic acid, catalase, glutathione reductase and glutathione peroxidase. Moreover, serum testosterone level in alcoholics negatively correlated with duration of alcohol abuse, and TBARS. Duration dependent decreased serum testosterone level in alcohol abusers might be due to 1) increased oxidative stress which can damage Leydig and supporting Sertoli cells and 2) impaired HPG axis.
    Matched MeSH terms: Alcoholism/blood*
  3. Mostafa H, Amin AM, Teh CH, Murugaiyah VA, Arif NH, Ibrahim B
    J Subst Abuse Treat, 2017 06;77:1-5.
    PMID: 28476260 DOI: 10.1016/j.jsat.2017.02.015
    BACKGROUND: Alcohol use disorders (AUD) is a phase of alcohol misuse in which the drinker consumes excessive amount of alcohol and have a continuous urge to consume alcohol which may lead to various health complications. The current methods of alcohol use disorders diagnosis such as questionnaires and some biomarkers lack specificity and sensitivity. Metabolomics is a novel scientific field which may provide a novel method for the diagnosis of AUD by using a sensitive and specific technique such as nuclear magnetic resonance (NMR).

    METHODS: A cross sectional study was conducted on three groups: individuals with alcohol use disorders (n=30), social drinkers (n=54) and alcohol-naive controls (n=60). 1H NMR-based metabolomics was used to obtain the metabolic profiles of plasma samples. Data were processed by multivariate principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) followed by univariate and multivariate logistic regressions to produce the best fit-model for discrimination between groups.

    RESULTS: The OPLS-DA model was able to distinguish between the AUD group and the other groups with high sensitivity, specificity and accuracy of 64.29%, 98.17% and 91.24% respectively. The logistic regression model identified two biomarkers in plasma (propionic acid and acetic acid) as being significantly associated with alcohol use disorders. The reproducibility of all biomarkers was excellent (0.81-1.0).

    CONCLUSIONS: The applied plasma metabolomics technique was able to differentiate the metabolites between AUD and the other groups. These metabolites are potential novel biomarkers for diagnosis of alcohol use disorders.

    Matched MeSH terms: Alcoholism/blood
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