Identification of blood microRNA alterations in patients with severe active alopecia areata
| Autor: | Jingwen Ma, Ruiming Hu, Qinping Yang, Jun Zhao, Youyu Sheng, Ying Miao, Wenlong Rui, Sisi Qi |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Adult Male Microarray Alopecia Areata Biochemistry Severity of Illness Index 03 medical and health sciences 0302 clinical medicine microRNA medicine Humans Gene Regulatory Networks Molecular Biology Gene Messenger RNA biology Gene Expression Profiling Cell Biology Alopecia areata Cell cycle Middle Aged medicine.disease Insulin receptor MicroRNAs 030104 developmental biology Gene Ontology 030220 oncology & carcinogenesis biology.protein Cancer research Female Function (biology) |
| Zdroj: | Journal of cellular biochemistry. 120(9) |
| ISSN: | 1097-4644 |
| Popis: | Background Alopecia areata (AA) is a common inflammatory disease characterized by cellular infiltration of T cells targeting the anagen-stage hair follicle. Lack of efficacious treatment for AA may be due to little knowledge about its exact cellular mechanism. Studies have demonstrated that microRNAs (miRNAs) play an important role in the regulation of inflammatory skin diseases such as atopic dermatitis and psoriasis. However, little is known about the role of miRNAs in AA. Objective The present study aimed to explore the blood miRNAs alterations in patients with severe active AA. Methods We constructed a bipartite miRNA-messenger RNA (mRNA) regulatory network by the validated miRNA-mRNA relationships. Subsequently, the miRNA-miRNA synergistic network was formed in consideration of the Gene Ontology function enrichment of coregulated target genes. Lastly, the functional network was identified by the ingenuity pathway analysis. Results By using an Agilent microarray that covers 2549 human miRNAs, we identified 36 significantly differentially expressed miRNAs in severe active AA patients. miRNA target gene prediction and functional annotation analysis showed significant enrichment in several pathways including the ribosome, cancer, cell cycle, insulin signaling, transforming growth factor-βsignaling, and p53 signaling pathways. Analysis of the three kinds of network showed that miR-185-5p, miR-125b-5p, and miR-186-5p might play important and synergistic roles in the active phase of AA. According to the receiver operating characteristic curve analysis, several miRNAs were selected for the quantitative real-time polymerase chain reaction validation. Among the miRNAs, miR-210 and miR-1246 had high prediction with high accuracy. Conclusion Blood dysregulated miRNAs are potentially associated with the severe active AA. These miRNAs could function synergistically and might be promising targets for the development of novel treatments for AA in the future. |
| Databáze: | OpenAIRE |
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