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10.1038/s41598-022-12751-y http://scihub22266oqcxt.onion/10.1038/s41598-022-12751-y 35680931!9178541!35680931     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35680931&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       Sci+Rep 2022 ; 12 (1): 9510 Nephropedia Template TP {{tp|p=35680931|t=2022. Elevated plasma level of the glycolysis byproduct methylglyoxal on admission is an independent biomarker of mortality in ICU COVID-19 patients |pdf=|usr=}}{{35680931}} gab.com Text Elevated plasma level of the glycolysis byproduct methylglyoxal on admission is an independent biomarker of mortality in ICU COVID-19 patients JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=35680931 #FOAvip Biomarkers to identify ICU COVID-19 patients at high risk for mortality are urgently needed for therapeutic care and management. Here we found plasma levels of the glycolysis byproduct methylglyoxal (MG) were 4.4-fold higher in ICU patients upon admission that later died (n = 33), and 1.7-fold higher in ICU patients that survived (n = 32),compared to uninfected controls (n = 30). The increased MG in patients that died correlated inversely with the levels of the MG-degrading enzyme glyoxalase-1 (r(2) = - 0.50), and its co-factor glutathione (r(2) = - 0.63), and positively with monocytes (r(2) = 0.29). The inflammation markers, SSAO (r(2) = 0.52), TNF-alpha (r(2) = 0.41), IL-1beta (r(2) = 0.25), CRP (r(2) = 0.26) also correlated positively with MG. Logistic regression analysis provides evidence of a significant relationship between the elevated MG upon admission into ICU and death (P < 0.0001), with 42% of the death variability explained. From these data we conclude that elevated plasma MG on admission is a novel independent biomarker that predicts mortality in ICU COVID-19 patients. Twit Text FOAVip Elevated plasma level of the glycolysis byproduct methylglyoxal on admission is an independent biomarker of mortality in ICU COVID-19 patients ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=35680931 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35680931 #FOAvip English Wikipedia <ref>{{Cite pmid|35680931}}</ref> Elevated plasma level of the glycolysis byproduct methylglyoxal on admission is an independent biomarker of mortality in ICU COVID-19 patients #MMPMID35680931 Alomar FA; Alshakhs MN; Abohelaika S; Almarzouk HM; Almualim M; Al-Ali AK; Al-Muhanna F; Alomar MF; Alhaddad MJ; Almulaify MS; Alessa FS; Alsalman AS; Alaswad A; Bidasee SR; Alsaad HA; Alali RA; AlSheikh MH; Akhtar MS; Al Mohaini M; Alsalman AJ; Alturaifi H; Bidasee KR Sci Rep 2022[Jun]; 12 (1): 9510 PMID35680931show ga Biomarkers to identify ICU COVID-19 patients at high risk for mortality are urgently needed for therapeutic care and management. Here we found plasma levels of the glycolysis byproduct methylglyoxal (MG) were 4.4-fold higher in ICU patients upon admission that later died (n = 33), and 1.7-fold higher in ICU patients that survived (n = 32),compared to uninfected controls (n = 30). The increased MG in patients that died correlated inversely with the levels of the MG-degrading enzyme glyoxalase-1 (r(2) = - 0.50), and its co-factor glutathione (r(2) = - 0.63), and positively with monocytes (r(2) = 0.29). The inflammation markers, SSAO (r(2) = 0.52), TNF-alpha (r(2) = 0.41), IL-1beta (r(2) = 0.25), CRP (r(2) = 0.26) also correlated positively with MG. Logistic regression analysis provides evidence of a significant relationship between the elevated MG upon admission into ICU and death (P < 0.0001), with 42% of the death variability explained. From these data we conclude that elevated plasma MG on admission is a novel independent biomarker that predicts mortality in ICU COVID-19 patients. |*COVID-19[MESH] |*Intensive Care Units[MESH] |Biomarkers[MESH] |Glycolysis[MESH] |Humans[MESH]Elevated plasma level of the glycolysis byproduct methylglyoxal on adm(epmc).pdf DeepDyve Pubget Overpricing