Evaluation of NKILA inflammatory lncRNA expression in bipolar disorder

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نوع سند: مقاله کنفرانسی
زبان: English
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BIOLOGY03_051

تاریخ نمایه سازی: 16 فروردین 1400

Abstract:

Bipolar disorder, with its extreme mood swings from depression to mania, used to be called manic depressive disorder. Bipolar disorder is very serious and can cause risky behavior, even suicidal tendencies, and can be treated with therapy and medication (3). However, molecular mechanisms of neurobiology BD has been not yet understood. Recent studies have shown that genetics factors including Long non-coding RNAs (lncRNAs) have established roles in the pathogenesis of diverse human disorders including neuropsychiatric disorders (1). lncRNAs have been recently recognized as one of the important genetic factors and are considered as one of the regulatory mechanisms of nervous system (2). We chose NKILA because NKILA inhibition has been shown to reduce neurological defects, brain edema, and damage, and to break down the blood-brain barrier, leading to the loss of hippocampal neurons and the production of inflammatory cytokines, and studies show a marked change in hippocampal internons in bipolar disorder that may lead to hippocampal dysfunctionMethods: We collected peripheral blood of 50 patients and 50 healthy individuals who were the same sex and age as the patients. Peripheral bloodmononuclear cells (PBMCs) were then isolated and RNA was extracted from these cells and cDNA is synthesized from it. PCR is performed to confirmcDNA synthesis using an internal control gene. Then we measured the expression of NKILA lncRNA by Real time PCR and specific primer ofNKILA gene and finally we normalized the data with internal control gene. Results: we evaluated expression levels of NKILA lncRNA in the peripheralblood of bipolar disorder (BD) patients and healthy subjects to assess their contribution in the pathogenesis of BD. Results shown that NKILA wasdown-regulated(p-value=0.0065) in total BD patients compared with total healthy subjects. In addition, we performed ROC curve analysis to evaluatethe sensitivity and specificity of the NKILA gene. The results showed that NKILA gene with sub-curved area (AUC) 0.68 and P = 0.0017 is statisticallysignificant. Conclusion: Our results showed that NKILA gene has a definite association with bipolar disorder and has diagnostic power as a biomarker.

Authors

Saba Fakharianzadeh

Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University G.C., Tehran, IR Iran

Zeinab Shirvani-Farsani

Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University G.C., Tehran, IR Iran