Yuejuan Cao1, Li Cui1. 1. Department of Cardiology, Tianjin Union Medical Center; Tianjin-China.
Abstract
OBJECTIVE: This study investigated the potential microRNAs (miRNAs) having a diagnostic value in atrial fibrillation (AF). METHODS: The miRNA and mRNA expression profiles of atrial tissue from healthy individuals and patients with AF were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs/mRNAs (DEMis/DEMs) were identified in patients with AF. Furthermore, an interaction network between DEMis and DMEs was constructed. The biological processes, molecular functions, and signaling pathways of DEMs were enriched. Then, the diagnostic values of candidate DECs among healthy individuals and patients with AF were preliminarily evaluated in the GSE101586, GSEE101684, and GSE112214 datasets. RESULTS: Twenty DEMis were identified in patients with AF, including seven upregulated and 13 downregulated DEMis. Furthermore, 2,307 DEMs were identified in patients with AF. In the DEMi-DEM interaction network, downregulated miR-193b and upregulated miR-16 interacted with the most targeted DEMs, which interacted with 72 and 65 targeted DEMs, respectively. The targeted DEMs were significantly enriched in biological functions including apoptosis and the PI3K-Akt, mTOR, Hippo, HIF-1, and ErbB signaling pathways. Four of the 20 DEMis (i.e., miR-490-3p, miR-630, miR-146b-5p, and miR-367) had a potential value to distinguish patients with AF from healthy individuals in the GSE68475, GSE70887, and GSE28954 datasets. The area under the curve values for those four DEMis were 0.751, 0.719, 0.709, and 0.7, respectively. CONCLUSION: DEMis might play key roles in AF progression through the mTOR and Hippo signaling pathways. miR-409-3p, miR-630, miR-146b-5p, and miR-367 had a potential diagnostic value to discriminate patients with AF from healthy controls in this study.
OBJECTIVE: This study investigated the potential microRNAs (miRNAs) having a diagnostic value in atrial fibrillation (AF). METHODS: The miRNA and mRNA expression profiles of atrial tissue from healthy individuals and patients with AF were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs/mRNAs (DEMis/DEMs) were identified in patients with AF. Furthermore, an interaction network between DEMis and DMEs was constructed. The biological processes, molecular functions, and signaling pathways of DEMs were enriched. Then, the diagnostic values of candidate DECs among healthy individuals and patients with AF were preliminarily evaluated in the GSE101586, GSEE101684, and GSE112214 datasets. RESULTS: Twenty DEMis were identified in patients with AF, including seven upregulated and 13 downregulated DEMis. Furthermore, 2,307 DEMs were identified in patients with AF. In the DEMi-DEM interaction network, downregulated miR-193b and upregulated miR-16 interacted with the most targeted DEMs, which interacted with 72 and 65 targeted DEMs, respectively. The targeted DEMs were significantly enriched in biological functions including apoptosis and the PI3K-Akt, mTOR, Hippo, HIF-1, and ErbB signaling pathways. Four of the 20 DEMis (i.e., miR-490-3p, miR-630, miR-146b-5p, and miR-367) had a potential value to distinguish patients with AF from healthy individuals in the GSE68475, GSE70887, and GSE28954 datasets. The area under the curve values for those four DEMis were 0.751, 0.719, 0.709, and 0.7, respectively. CONCLUSION: DEMis might play key roles in AF progression through the mTOR and Hippo signaling pathways. miR-409-3p, miR-630, miR-146b-5p, and miR-367 had a potential diagnostic value to discriminate patients with AF from healthy controls in this study.
Authors: Svetlana N Reilly; Xing Liu; Barbara Casadei; Ricardo Carnicer; Alice Recalde; Anna Muszkiewicz; Raja Jayaram; Maria Cristina Carena; Rohan Wijesurendra; Matilde Stefanini; Nicoletta C Surdo; Oliver Lomas; Chandana Ratnatunga; Rana Sayeed; George Krasopoulos; Timothy Rajakumar; Alfonso Bueno-Orovio; Sander Verheule; Tudor A Fulga; Blanca Rodriguez; Ulrich Schotten Journal: Sci Transl Med Date: 2016-05-25 Impact factor: 17.956
Authors: Alisha R Coffey; Matt Kanke; Tangi L Smallwood; Jody Albright; Wendy Pitman; Raad Z Gharaibeh; Kunjie Hua; Erik Gertz; Sudha B Biddinger; Ryan E Temel; Daniel Pomp; Praveen Sethupathy; Brian J Bennett Journal: Physiol Genomics Date: 2019-01-11 Impact factor: 3.107
Authors: Annette E Neele; Marion J J Gijbels; Saskia van der Velden; Marten A Hoeksema; Marieke C S Boshuizen; Koen H M Prange; Hung-Jen Chen; Jan Van den Bossche; Cindy P P A van Roomen; Annelie Shami; Johannes H M Levels; Jeffrey Kroon; Tina Lucas; Stefanie Dimmeler; Esther Lutgens; Menno P J de Winther Journal: Atherosclerosis Date: 2018-06-01 Impact factor: 5.162