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10.12659/MSM.895982 http://scihub22266oqcxt.onion/10.12659/MSM.895982 C4651320!4651320!26567235     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Med+Sci+Monit 2015 ; 21 (ä): 3505-13 Nephropedia Template TP {{tp|p=26567235|t=2015. MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation |pdf=|usr=}}{{26567235}} gab.com Text MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation JO: Med Sci Monit http://www.kidney.de/pget.php?&tw=1&pmid=26567235 #FOAvip Background: Atrial fibrillation (AF) is a highly prevalent condition associated with high morbidity and mortality that can cause or exacerbate heart failure and is an important risk factor for stroke. AF is the disorganized propagation of electrical activity in the atrium, which prevents organized contractions. However, the effect of microRNAs and the patterns of the regulatory network of AF remain vague. Material/Methods: The mRNA expression data of atrial tissue splices from 3 conditions ? permanent atrial fibrillation (AF), sinus rhythm (SR), and human left ventricular non-failing myocardium (LV) ? were downloaded from GSE2240 and the differentially expressed genes (DEGs) between the 3 kinds of samples were calculated. Then we constructed 3 miRNA-DEGs networks and these networks were integrated to construct the final merged AF-related microRNA regulatory network. Finally, we constructed the miRNA-inflammation networks to detect the roles of miRNAs in inflammation development of AF. Results: This network included 108 DEGs, and 27 microRNAs and DEGs are regulated by both microRNAs. We found that a sub-network composed by miR-124, miR-183, miR-215, miR-192, and a DEG of EGR1 were all represents in these 3 networks. Based on functional enrichment analysis, some biological process, such as energy and glucan metabolic process and heart and blood vessel development, were found to be regulated by miRNAs in AF. Some miRNAs, such as miR-26b and miR-355p, were involved in inflammation in AF. Conclusions: In conclusion, the microRNA regulatory network sheds new light on the molecular mechanism of AF with this non-coding regulated model. Twit Text FOAVip MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation ????Med Sci Monit http://www.kidney.de/pget.php?&tw=1&pmid=26567235 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26567235 #FOAvip English Wikipedia <ref>{{Cite pmid|26567235}}</ref> MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation #MMPMID26567235 Zhang H; Liu L; Hu J; Song L Med Sci Monit 2015[]; 21 (ä): 3505-13 PMID26567235show ga Background: Atrial fibrillation (AF) is a highly prevalent condition associated with high morbidity and mortality that can cause or exacerbate heart failure and is an important risk factor for stroke. AF is the disorganized propagation of electrical activity in the atrium, which prevents organized contractions. However, the effect of microRNAs and the patterns of the regulatory network of AF remain vague. Material/Methods: The mRNA expression data of atrial tissue splices from 3 conditions ? permanent atrial fibrillation (AF), sinus rhythm (SR), and human left ventricular non-failing myocardium (LV) ? were downloaded from GSE2240 and the differentially expressed genes (DEGs) between the 3 kinds of samples were calculated. Then we constructed 3 miRNA-DEGs networks and these networks were integrated to construct the final merged AF-related microRNA regulatory network. Finally, we constructed the miRNA-inflammation networks to detect the roles of miRNAs in inflammation development of AF. Results: This network included 108 DEGs, and 27 microRNAs and DEGs are regulated by both microRNAs. We found that a sub-network composed by miR-124, miR-183, miR-215, miR-192, and a DEG of EGR1 were all represents in these 3 networks. Based on functional enrichment analysis, some biological process, such as energy and glucan metabolic process and heart and blood vessel development, were found to be regulated by miRNAs in AF. Some miRNAs, such as miR-26b and miR-355p, were involved in inflammation in AF. Conclusions: In conclusion, the microRNA regulatory network sheds new light on the molecular mechanism of AF with this non-coding regulated model. äMicroRNA Regulatory Network Revealing the Mechanism of Inflammation in(epmc).pdf DeepDyve Pubget Overpricing