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Copyright (c) 2022 Zhimin Chen, Na Wang, Risu Na, Haiyan Yu, Dan Sui, Bing Cui, Lihua Wang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Bioinformatic Prediction of Depression-Related Signaling Pathways Regulated by miR-146a in Peripheral Blood of Patients with Post-Stroke Depression
Corresponding Author(s) : Lihua Wang
Cellular and Molecular Biology,
Vol. 68 No. 6: Issue 6
Abstract
It was aimed to explore the differential expression of miR-146a-5p in peripheral blood of patients with post-stroke depression (PSD), and to analyze its mechanism using bioinformatics. Stroke patients were selected as the research objects, and were divided into PSD ones and non-post-stroke depression (N-PSD) ones with the National Institutes of Health stroke scale (NHISS) and Hamilton Depression Scale-17 terms (HAMD-17) scores. Peripheral blood of patients was collected for serum miR-146a-5p detection. Targetscan7.1, miRDB, DIANA TOOLS, and more databases were used to predict the target genes of miR-146a-5p. String11.0 was applied to construct a protein interaction network, and GO and KEGG pathway enrichment analysis of target genes was performed. Compared with that of N-PSD patients, serum miR-146a-5p levels in PSD patients were significantly increased (P<0.05). The receiver operator characteristic (ROC) curve suggested that the sensitivity and specificity of miR-146a-5p in predicting PSD were 0.703 and 0.811, respectively. The human miR-146a-5p sequence was highly conserved, with a total of 43 target genes. It involved analysis of activity, signaling pathways, and transcriptional regulation, as well as related signaling pathways such as Toll-like receptors (TLR), neurotrophic factors, and nuclear factor kappa-B (NF-κB). In conclusion, the expression level of miR-146a-5p was abnormally increased in PSD patients, and it could be taken as a candidate marker for the diagnosis of PSD. miR-146a-5p could affect PSD through signaling pathways of TLRs, neurotrophic factors, and NF-κB.
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