Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1111/jcmm.16444 http://scihub22266oqcxt.onion/10.1111/jcmm.16444 33759345!8107096!33759345     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Cell+Mol+Med 2021 ; 25 (10): 4753-4764 Nephropedia Template TP {{tp|p=33759345|t=2021. Risk stratification by long non-coding RNAs profiling in COVID-19 patients |pdf=|usr=}}{{33759345}} gab.com Text Risk stratification by long non-coding RNAs profiling in COVID-19 patients JO: J Cell Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=33759345 #FOAvip Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic worldwide. Long non-coding RNAs (lncRNAs) are a subclass of endogenous, non-protein-coding RNA, which lacks an open reading frame and is more than 200 nucleotides in length. However, the functions for lncRNAs in COVID-19 have not been unravelled. The present study aimed at identifying the related lncRNAs based on RNA sequencing of peripheral blood mononuclear cells from patients with SARS-CoV-2 infection as well as health individuals. Overall, 17 severe, 12 non-severe patients and 10 healthy controls were enrolled in this study. Firstly, we reported some altered lncRNAs between severe, non-severe COVID-19 patients and healthy controls. Next, we developed a 7-lncRNA panel with a good differential ability between severe and non-severe COVID-19 patients using least absolute shrinkage and selection operator regression. Finally, we observed that COVID-19 is a heterogeneous disease among which severe COVID-19 patients have two subtypes with similar risk score and immune score based on lncRNA panel using iCluster algorithm. As the roles of lncRNAs in COVID-19 have not yet been fully identified and understood, our analysis should provide valuable resource and information for the future studies. Twit Text FOAVip Risk stratification by long non-coding RNAs profiling in COVID-19 patients ????J Cell Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=33759345 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33759345 #FOAvip English Wikipedia <ref>{{Cite pmid|33759345}}</ref> Risk stratification by long non-coding RNAs profiling in COVID-19 patients #MMPMID33759345 Cheng J; Zhou X; Feng W; Jia M; Zhang X; An T; Luan M; Pan Y; Zhang S; Zhou Z; Wen L; Sun Y; Zhou C J Cell Mol Med 2021[May]; 25 (10): 4753-4764 PMID33759345show ga Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic worldwide. Long non-coding RNAs (lncRNAs) are a subclass of endogenous, non-protein-coding RNA, which lacks an open reading frame and is more than 200 nucleotides in length. However, the functions for lncRNAs in COVID-19 have not been unravelled. The present study aimed at identifying the related lncRNAs based on RNA sequencing of peripheral blood mononuclear cells from patients with SARS-CoV-2 infection as well as health individuals. Overall, 17 severe, 12 non-severe patients and 10 healthy controls were enrolled in this study. Firstly, we reported some altered lncRNAs between severe, non-severe COVID-19 patients and healthy controls. Next, we developed a 7-lncRNA panel with a good differential ability between severe and non-severe COVID-19 patients using least absolute shrinkage and selection operator regression. Finally, we observed that COVID-19 is a heterogeneous disease among which severe COVID-19 patients have two subtypes with similar risk score and immune score based on lncRNA panel using iCluster algorithm. As the roles of lncRNAs in COVID-19 have not yet been fully identified and understood, our analysis should provide valuable resource and information for the future studies. |*RNA, Long Noncoding/blood/physiology[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Biomarkers/blood[MESH] |COVID-19/*diagnosis[MESH] |Case-Control Studies[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Risk Assessment[MESH]Risk stratification by long non-coding RNAs profiling in COVID-19 pati(epmc).pdf DeepDyve Pubget Overpricing