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.

10.26508/lsa.202000946 http://scihub22266oqcxt.onion/10.26508/lsa.202000946 34168074!8321665!34168074     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Life+Sci+Alliance 2021 ; 4 (8): ä Nephropedia Template TP {{tp|p=34168074|t=2021. Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19 |pdf=|usr=}}{{34168074}} gab.com Text Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19 JO: Life Sci Alliance http://www.kidney.de/pget.php?&tw=1&pmid=34168074 #FOAvip SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility. Twit Text FOAVip Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19 ????Life Sci Alliance http://www.kidney.de/pget.php?&tw=1&pmid=34168074 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34168074 #FOAvip English Wikipedia <ref>{{Cite pmid|34168074}}</ref> Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19 #MMPMID34168074 Lazari LC; Ghilardi FR; Rosa-Fernandes L; Assis DM; Nicolau JC; Santiago VF; Dalcoquio TF; Angeli CB; Bertolin AJ; Marinho CR; Wrenger C; Durigon EL; Siciliano RF; Palmisano G Life Sci Alliance 2021[Aug]; 4 (8): ä PMID34168074show ga SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility. |*Machine Learning[MESH] |Adult[MESH] |Aged[MESH] |Biomarkers/blood[MESH] |COVID-19/*diagnosis/epidemiology/virology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Prognosis[MESH] |Proteome/*metabolism[MESH] |Proteomics/*methods[MESH] |Reproducibility of Results[MESH] |SARS-CoV-2/*metabolism/physiology[MESH] |Sensitivity and Specificity[MESH] |Serum Amyloid A Protein/analysis[MESH]Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma(epmc).pdf DeepDyve Pubget Overpricing