کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6800090 | 542812 | 2016 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Alterations of microRNA-124 expression in peripheral blood mononuclear cells in pre- and post-treatment patients with major depressive disorder
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
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چکیده انگلیسی
Recently, increasing evidence has indicated that dysfunction of microRNA-124 (miR-124) might be involved in the pathophysiology and treatment of major depressive disorder (MDD) in some animal models of depression. However, the role of miR-124 in MDD patients remains unclear. The objective of this study was to investigate whether the miR-124 expression levels in peripheral blood mononuclear cells (PBMCs) were associated with MDD and to evaluate the effects of antidepressant treatment on miR-124 levels. Quantitative real-time PCR was applied to detect miR-124 expression in 32 pre- and post-treatment MDD patients and 30 healthy controls. Our results showed that expression levels of miR-124 from PBMCs in MDD patients were significantly higher than those in healthy controls (p < 0.001), and that the area under the curve of miR-124 from ROC analysis was 0.762 with a sensitivity of 83.33% and specificity of 66.67% in distinguishing MDD patients from healthy controls. In addition, the expression levels of miR-124 were significantly down-regulated after eight weeks of treatment (p < 0.001). MiRNA target gene prediction and functional annotation analysis indicated that altered miR-124 was involved in affecting some important biological processes and pathways related to MDD. These results provide new information on miR-124 involvement in the biological alterations of MDD and in antidepressant effects.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Psychiatric Research - Volume 78, July 2016, Pages 65-71
Journal: Journal of Psychiatric Research - Volume 78, July 2016, Pages 65-71
نویسندگان
Shen He, Xiaohua Liu, Kaida Jiang, Daihui Peng, Wu Hong, Yiru Fang, Yiping Qian, Shunying Yu, Huafang Li,