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10.3390/ijms221910198 http://scihub22266oqcxt.onion/10.3390/ijms221910198 34638539!8508132!34638539     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Mol+Sci 2021 ; 22 (19): ä Nephropedia Template TP {{tp|p=34638539|t=2021. Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature |pdf=|usr=}}{{34638539}} gab.com Text Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature JO: Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=34638539 #FOAvip The reason behind the high inter-individual variability in response to SARS-CoV-2 infection and patient's outcome is poorly understood. The present study targets the sphingolipid profile of twenty-four healthy controls and fifty-nine COVID-19 patients with different disease severity. Sera were analyzed by untargeted and targeted mass spectrometry and ELISA. Results indicated a progressive increase in dihydrosphingosine, dihydroceramides, ceramides, sphingosine, and a decrease in sphingosine-1-phosphate. These changes are associated with a serine palmitoyltransferase long chain base subunit 1 (SPTLC1) increase in relation to COVID-19 severity. Severe patients showed a decrease in sphingomyelins and a high level of acid sphingomyelinase (aSMase) that influences monosialodihexosyl ganglioside (GM3) C16:0 levels. Critical patients are characterized by high levels of dihydrosphingosine and dihydroceramide but not of glycosphingolipids. In severe and critical patients, unbalanced lipid metabolism induces lipid raft remodeling, leads to cell apoptosis and immunoescape, suggesting active sphingolipid participation in viral infection. Furthermore, results indicated that the sphingolipid and glycosphingolipid metabolic rewiring promoted by aSMase and GM3 is age-dependent but also characteristic of severe and critical patients influencing prognosis and increasing viral load. AUCs calculated from ROC curves indicated ceramides C16:0, C18:0, C24:1, sphingosine and SPTLC1 as putative biomarkers of disease evolution. Twit Text FOAVip Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature ????Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=34638539 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34638539 #FOAvip English Wikipedia <ref>{{Cite pmid|34638539}}</ref> Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature #MMPMID34638539 Torretta E; Garziano M; Poliseno M; Capitanio D; Biasin M; Santantonio TA; Clerici M; Lo Caputo S; Trabattoni D; Gelfi C Int J Mol Sci 2021[Sep]; 22 (19): ä PMID34638539show ga The reason behind the high inter-individual variability in response to SARS-CoV-2 infection and patient's outcome is poorly understood. The present study targets the sphingolipid profile of twenty-four healthy controls and fifty-nine COVID-19 patients with different disease severity. Sera were analyzed by untargeted and targeted mass spectrometry and ELISA. Results indicated a progressive increase in dihydrosphingosine, dihydroceramides, ceramides, sphingosine, and a decrease in sphingosine-1-phosphate. These changes are associated with a serine palmitoyltransferase long chain base subunit 1 (SPTLC1) increase in relation to COVID-19 severity. Severe patients showed a decrease in sphingomyelins and a high level of acid sphingomyelinase (aSMase) that influences monosialodihexosyl ganglioside (GM3) C16:0 levels. Critical patients are characterized by high levels of dihydrosphingosine and dihydroceramide but not of glycosphingolipids. In severe and critical patients, unbalanced lipid metabolism induces lipid raft remodeling, leads to cell apoptosis and immunoescape, suggesting active sphingolipid participation in viral infection. Furthermore, results indicated that the sphingolipid and glycosphingolipid metabolic rewiring promoted by aSMase and GM3 is age-dependent but also characteristic of severe and critical patients influencing prognosis and increasing viral load. AUCs calculated from ROC curves indicated ceramides C16:0, C18:0, C24:1, sphingosine and SPTLC1 as putative biomarkers of disease evolution. |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*blood/diagnosis[MESH] |Female[MESH] |Humans[MESH] |Lipidomics[MESH] |Male[MESH] |Middle Aged[MESH] |Prognosis[MESH] |SARS-CoV-2/isolation & purification[MESH] |Severity of Illness Index[MESH] |Sphingolipids/analysis/*blood[MESH] |Sphingomyelins/analysis/blood[MESH]Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signatu(epmc).pdf DeepDyve Pubget Overpricing