Silent Information Regulator 1 Negatively Regulates Atherosclerotic Angiogenesis via Mammalian Target of Rapamycin Complex 1 Signaling Pathway

Chen, Runtai; Huang, Zhenchun; Wang, Junyi; Chen, Xiaoying; Fu, Yucai; Wang, Wei

doi:10.1016/j.amjms.2018.04.010

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…The signaling pathway enrichment analysis indicated that the 17 miRNA-targeted mRNAs play important roles in the rap 1 signaling pathway, phospholipase D signaling pathway, and autophagy animals, which are closely related to the regulation of mTOR activity and cell autophagy (Liu et al, 2013;Zhao et al, 2015;Chen et al, 2018). The other enriched pathways include Th1 and Th2 cell differentiation and Th17 cell differentiation; these pathways are directly connected to Th1/Th2 balance and immunoregulation (Yun et al, 2003;Orozco et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis

et al. 2020

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Periodontitis progression is accompanied by irreversible alveolar bone absorption and leads to tooth loss. Early diagnosis is important for tooth stability and periodontal tissue preservation. However, there is no recognized miRNA diagnostic signature with convincing sensitivity and specificity for periodontitis. In this study, we obtained miRNA array expression profiles of periodontitis from the Gene Expression Omnibus (GEO) database. After screening for differentially expressed miRNAs, the least absolute shrinkage and selection operator (LASSO) method was performed to identify and construct a 17-miRNA-based diagnostic signature (hsa-miR-3917, hsa-mir-4271, hsa-miR-3156, hsa-miR-3141, hsa-miR-1246, hsa-miR-125a-5p, hsa-miR-671-5p, hcmv-mir-UL70, hsa-miR-650, hsa-miR-497-3p, hsa-miR-145-3p, hsa-miR-141-3p, hsa-miR-210-3p, hsa-miR-204-3p, hsa-miR-203a-5p, hsa-miR-99a-3p, and hsa-miR-30a-3p). Periodontal tissue samples with higher risk scores were more likely to show symptoms of periodontitis. Then, the receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the miRNA signature, which indicated that the optimum cutoff value in periodontitis diagnosis was 0.5056 with an area under the ROC curve (AUC) of 0.996, a sensitivity of 97.3%, a specificity of 100.0% in the training cohort; in the testing cohort, the corresponding values were as follows: an AUC of 0.998, a sensitivity of 97.9%, and a specificity of 91.7%. We next evaluated the efficacy of the signature in differentiating disease subtype and affected range. Furthermore, we conducted functional enrichment analysis of the 17 miRNA-targeted mRNAs, including the regulation of mTOR activity and cell autophagy, Th1/Th2 cell balance and immunoregulation, cell apoptosis, and so on. In summary, our study identified and validated a 17-miRNA diagnostic signature with convincing AUC, sensitivity, and specificity for periodontitis.

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