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10.1093/ibd/izx009 http://scihub22266oqcxt.onion/10.1093/ibd/izx009 C5858028!5858028!29272478     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Inflamm+Bowel+Dis 2018 ; 24 (1): 159-65 Nephropedia Template TP {{tp|p=29272478|t=2018. Plasma microRNA Profile Differentiates Crohn?s Colitis From Ulcerative Colitis |pdf=|usr=}}{{29272478}} gab.com Text Plasma microRNA Profile Differentiates Crohn s Colitis From Ulcerative Colitis JO: Inflamm Bowel Dis http://www.kidney.de/pget.php?&tw=1&pmid=29272478 #FOAvip Background: Inflammatory bowel disease (IBD) is commonly divided into 2 entities: Crohn?s disease (CD) and ulcerative colitis (UC). Differentiating between these entities when dealing with IBD confined to the colon is important, especially when planning surgical treatment. Due to ambiguous histological or endoscopic findings, accurate diagnosis is not possible in up to 15% of cases. The aim of this study was to determine whether plasma microRNAs (miRNAs) can help differentiate Crohn?s colitis (CC) from ulcerative colitis. Methods: Patients with isolated CC and with UC were enrolled in our study from January 2010 to May 2016. Peripheral blood was collected, and total RNA was isolated from plasma. Screening was performed for 380 common miRNAs. miRNAs that were differentially expressed between these 2 groups were chosen, and their differential expression was confirmed using single miRNA assays in a larger sample size. A predictive model was generated using these data. Significantly differentially expressed miRNAs were then validated utilizing the predictive model to assess blinded data from the single assays. Results: Screening was performed on 8 patients from each group. Seven differentially expressed miRNAs were chosen for single assay confirmation. Two miRNAs (miR-598, miR-642) were consistently different between the patient groups (P = 0.013, P = 0.005). Using blinded data, these 2 miRNAs were validated using the predictive model, achieving an overall accuracy of 75% (95% confidence interval, 40.7?92.9). Conclusions: We identified 2 plasma miRNAs that differentiated CC from UC. Our data indicate the promise and feasibility of a plasma miRNA?based assay to distinguish between these 2 conditions. Twit Text FOAVip Plasma microRNA Profile Differentiates Crohn s Colitis From Ulcerative Colitis ????Inflamm Bowel Dis http://www.kidney.de/pget.php?&tw=1&pmid=29272478 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29272478 #FOAvip English Wikipedia <ref>{{Cite pmid|29272478}}</ref> Plasma microRNA Profile Differentiates Crohn?s Colitis From Ulcerative Colitis #MMPMID29272478 Netz U; Carter J; Eichenberger MR; Feagins K; Galbraith NJ; Dryden GW; Pan J; Rai SN; Galandiuk S Inflamm Bowel Dis 2018[Jan]; 24 (1): 159-65 PMID29272478show ga Background: Inflammatory bowel disease (IBD) is commonly divided into 2 entities: Crohn?s disease (CD) and ulcerative colitis (UC). Differentiating between these entities when dealing with IBD confined to the colon is important, especially when planning surgical treatment. Due to ambiguous histological or endoscopic findings, accurate diagnosis is not possible in up to 15% of cases. The aim of this study was to determine whether plasma microRNAs (miRNAs) can help differentiate Crohn?s colitis (CC) from ulcerative colitis. Methods: Patients with isolated CC and with UC were enrolled in our study from January 2010 to May 2016. Peripheral blood was collected, and total RNA was isolated from plasma. Screening was performed for 380 common miRNAs. miRNAs that were differentially expressed between these 2 groups were chosen, and their differential expression was confirmed using single miRNA assays in a larger sample size. A predictive model was generated using these data. Significantly differentially expressed miRNAs were then validated utilizing the predictive model to assess blinded data from the single assays. Results: Screening was performed on 8 patients from each group. Seven differentially expressed miRNAs were chosen for single assay confirmation. Two miRNAs (miR-598, miR-642) were consistently different between the patient groups (P = 0.013, P = 0.005). Using blinded data, these 2 miRNAs were validated using the predictive model, achieving an overall accuracy of 75% (95% confidence interval, 40.7?92.9). Conclusions: We identified 2 plasma miRNAs that differentiated CC from UC. Our data indicate the promise and feasibility of a plasma miRNA?based assay to distinguish between these 2 conditions. äPlasma microRNA Profile Differentiates Crohn?s Colitis From Ulcerative(epmc).pdf DeepDyve Pubget Overpricing