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.

suck abstract from ncbi


10.15252/emmm.202013714

http://scihub22266oqcxt.onion/10.15252/emmm.202013714
suck pdf from google scholar
34661368!8573598!34661368
unlimited free pdf from europmc34661368    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34661368&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi


Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid34661368      EMBO+Mol+Med 2021 ; 13 (11): e13714
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Flower lose, a cell fitness marker, predicts COVID-19 prognosis #MMPMID34661368
  • Yekelchyk M; Madan E; Wilhelm J; Short KR; Palma AM; Liao L; Camacho D; Nkadori E; Winters MT; Rice ES; Rolim I; Cruz-Duarte R; Pelham CJ; Nagane M; Gupta K; Chaudhary S; Braun T; Pillappa R; Parker MS; Menter T; Matter M; Haslbauer JD; Tolnay M; Galior KD; Matkwoskyj KA; McGregor SM; Muller LK; Rakha EA; Lopez-Beltran A; Drapkin R; Ackermann M; Fisher PB; Grossman SR; Godwin AK; Kulasinghe A; Martinez I; Marsh CB; Tang B; Wicha MS; Won KJ; Tzankov A; Moreno E; Gogna R
  • EMBO Mol Med 2021[Nov]; 13 (11): e13714 PMID34661368show ga
  • Risk stratification of COVID-19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe-Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool. Here, we evaluate whether hFwe-Lose gene expression can outperform conventional methods in predicting outcomes (e.g., death and hospitalization) in COVID-19 patients. We performed a post-mortem examination of infected lung tissue in deceased COVID-19 patients to determine hFwe-Lose's biological role in acute lung injury. We then performed an observational study (n = 283) to evaluate whether hFwe-Lose expression (in nasopharyngeal samples) could accurately predict hospitalization or death in COVID-19 patients. In COVID-19 patients with acute lung injury, hFwe-Lose is highly expressed in the lower respiratory tract and is co-localized to areas of cell death. In patients presenting in the early phase of COVID-19 illness, hFwe-Lose expression accurately predicts subsequent hospitalization or death with positive predictive values of 87.8-100% and a negative predictive value of 64.1-93.2%. hFwe-Lose outperforms conventional inflammatory biomarkers and patient age and comorbidities, with an area under the receiver operating characteristic curve (AUROC) 0.93-0.97 in predicting hospitalization/death. Specifically, this is significantly higher than the prognostic value of combining biomarkers (serum ferritin, D-dimer, C-reactive protein, and neutrophil-lymphocyte ratio), patient age and comorbidities (AUROC of 0.67-0.92). The cell fitness marker, hFwe-Lose, accurately predicts outcomes in COVID-19 patients. This finding demonstrates how tissue fitness pathways dictate the response to infection and disease and their utility in managing the current COVID-19 pandemic.
  • |*COVID-19[MESH]
  • |Biomarkers[MESH]
  • |Flowers[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |ROC Curve[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box