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10.1016/j.ebiom.2021.103439 http://scihub22266oqcxt.onion/10.1016/j.ebiom.2021.103439 34157486!8214725!34157486     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       EBioMedicine 2021 ; 69 (ä): 103439 Nephropedia Template TP {{tp|p=34157486|t=2021. 50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A retrospective, multicenter cohort study |pdf=|usr=}}{{34157486}} gab.com Text 50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A retrospective, multicenter cohort study JO: EBioMedicine http://www.kidney.de/pget.php?&tw=1&pmid=34157486 #FOAvip BACKGROUND: COVID-19 has been associated with Interstitial Lung Disease features. The immune transcriptomic overlap between Idiopathic Pulmonary Fibrosis (IPF) and COVID-19 has not been investigated. METHODS: we analyzed blood transcript levels of 50 genes known to predict IPF mortality in three COVID-19 and two IPF cohorts. The Scoring Algorithm of Molecular Subphenotypes (SAMS) was applied to distinguish high versus low-risk profiles in all cohorts. SAMS cutoffs derived from the COVID-19 Discovery cohort were used to predict intensive care unit (ICU) status, need for mechanical ventilation, and in-hospital mortality in the COVID-19 Validation cohort. A COVID-19 Single-cell RNA-sequencing cohort was used to identify the cellular sources of the 50-gene risk profiles. The same COVID-19 SAMS cutoffs were used to predict mortality in the IPF cohorts. FINDINGS: 50-gene risk profiles discriminated severe from mild COVID-19 in the Discovery cohort (P = 0.015) and predicted ICU admission, need for mechanical ventilation, and in-hospital mortality (AUC: 0.77, 0.75, and 0.74, respectively, P < 0.001) in the COVID-19 Validation cohort. In COVID-19, 50-gene expressing cells with a high-risk profile included monocytes, dendritic cells, and neutrophils, while low-risk profile-expressing cells included CD4(+), CD8(+) T lymphocytes, IgG producing plasmablasts, B cells, NK, and gamma/delta T cells. Same COVID-19 SAMS cutoffs were also predictive of mortality in the University of Chicago (HR:5.26, 95%CI:1.81-15.27, P = 0.0013) and Imperial College of London (HR:4.31, 95%CI:1.81-10.23, P = 0.0016) IPF cohorts. INTERPRETATION: 50-gene risk profiles in peripheral blood predict COVID-19 and IPF outcomes. The cellular sources of these gene expression changes suggest common innate and adaptive immune responses in both diseases. FUNDING: This work was supported in part by National Institute for Health Research Clinician Scientist Fellowship NIHR: CS-2013-13-017 (TMM); Action for Pulmonary Fibrosis Mike Bray fellowship (PLM); The National Heart, Lung, and Blood Institute (NHLBI) through award K01-HL-130704 (AJ); The University of South Florida (USF) Academic Support Fund and the USF Foundation, Ubben Fibrosis Fund (JHM). Twit Text FOAVip 50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A retrospective, multicenter cohort study ????EBioMedicine http://www.kidney.de/pget.php?&tw=1&pmid=34157486 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34157486 #FOAvip English Wikipedia <ref>{{Cite pmid|34157486}}</ref> 50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A retrospective, multicenter cohort study #MMPMID34157486 Juan Guardela BM; Sun J; Zhang T; Xu B; Balnis J; Huang Y; Ma SF; Molyneaux PL; Maher TM; Noth I; Michaud G; Jaitovich A; Herazo-Maya JD EBioMedicine 2021[Jul]; 69 (ä): 103439 PMID34157486show ga BACKGROUND: COVID-19 has been associated with Interstitial Lung Disease features. The immune transcriptomic overlap between Idiopathic Pulmonary Fibrosis (IPF) and COVID-19 has not been investigated. METHODS: we analyzed blood transcript levels of 50 genes known to predict IPF mortality in three COVID-19 and two IPF cohorts. The Scoring Algorithm of Molecular Subphenotypes (SAMS) was applied to distinguish high versus low-risk profiles in all cohorts. SAMS cutoffs derived from the COVID-19 Discovery cohort were used to predict intensive care unit (ICU) status, need for mechanical ventilation, and in-hospital mortality in the COVID-19 Validation cohort. A COVID-19 Single-cell RNA-sequencing cohort was used to identify the cellular sources of the 50-gene risk profiles. The same COVID-19 SAMS cutoffs were used to predict mortality in the IPF cohorts. FINDINGS: 50-gene risk profiles discriminated severe from mild COVID-19 in the Discovery cohort (P = 0.015) and predicted ICU admission, need for mechanical ventilation, and in-hospital mortality (AUC: 0.77, 0.75, and 0.74, respectively, P < 0.001) in the COVID-19 Validation cohort. In COVID-19, 50-gene expressing cells with a high-risk profile included monocytes, dendritic cells, and neutrophils, while low-risk profile-expressing cells included CD4(+), CD8(+) T lymphocytes, IgG producing plasmablasts, B cells, NK, and gamma/delta T cells. Same COVID-19 SAMS cutoffs were also predictive of mortality in the University of Chicago (HR:5.26, 95%CI:1.81-15.27, P = 0.0013) and Imperial College of London (HR:4.31, 95%CI:1.81-10.23, P = 0.0016) IPF cohorts. INTERPRETATION: 50-gene risk profiles in peripheral blood predict COVID-19 and IPF outcomes. The cellular sources of these gene expression changes suggest common innate and adaptive immune responses in both diseases. FUNDING: This work was supported in part by National Institute for Health Research Clinician Scientist Fellowship NIHR: CS-2013-13-017 (TMM); Action for Pulmonary Fibrosis Mike Bray fellowship (PLM); The National Heart, Lung, and Blood Institute (NHLBI) through award K01-HL-130704 (AJ); The University of South Florida (USF) Academic Support Fund and the USF Foundation, Ubben Fibrosis Fund (JHM). |*Transcriptome[MESH] |Adult[MESH] |Aged[MESH] |Biomarkers/blood[MESH] |COVID-19/blood/*genetics/mortality[MESH] |Female[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH]50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A(epmc).pdf DeepDyve Pubget Overpricing