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10.1021/acs.analchem.0c04590 http://scihub22266oqcxt.onion/10.1021/acs.analchem.0c04590 33656857!ä!33656857 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Anal+Chem 2021 ; 93 (11): 4782-4787 Nephropedia Template TP {{tp|p=33656857|t=2021. Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling |pdf=|usr=}}{{33656857}} gab.com Text Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling JO: Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=33656857 #FOAvip The outbreak of coronavirus disease 2019 (COVID-19) caused by SARS CoV-2 is ongoing and a serious threat to global public health. It is essential to detect the disease quickly and immediately to isolate the infected individuals. Nevertheless, the current widely used PCR and immunoassay-based methods suffer from false negative results and delays in diagnosis. Herein, a high-throughput serum peptidome profiling method based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is developed for efficient detection of COVID-19. We analyzed the serum samples from 146 COVID-19 patients and 152 control cases (including 73 non-COVID-19 patients with similar clinical symptoms, 33 tuberculosis patients, and 46 healthy individuals). After MS data processing and feature selection, eight machine learning methods were used to build classification models. A logistic regression machine learning model with 25 feature peaks achieved the highest accuracy (99%), with sensitivity of 98% and specificity of 100%, for the detection of COVID-19. This result demonstrated a great potential of the method for screening, routine surveillance, and diagnosis of COVID-19 in large populations, which is an important part of the pandemic control. Twit Text FOAVip Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling ????Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=33656857 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33656857 #FOAvip English Wikipedia <ref>{{Cite pmid|33656857}}</ref> Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling #MMPMID33656857 Yan L; Yi J; Huang C; Zhang J; Fu S; Li Z; Lyu Q; Xu Y; Wang K; Yang H; Ma Q; Cui X; Qiao L; Sun W; Liao P Anal Chem 2021[Mar]; 93 (11): 4782-4787 PMID33656857show ga The outbreak of coronavirus disease 2019 (COVID-19) caused by SARS CoV-2 is ongoing and a serious threat to global public health. It is essential to detect the disease quickly and immediately to isolate the infected individuals. Nevertheless, the current widely used PCR and immunoassay-based methods suffer from false negative results and delays in diagnosis. Herein, a high-throughput serum peptidome profiling method based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is developed for efficient detection of COVID-19. We analyzed the serum samples from 146 COVID-19 patients and 152 control cases (including 73 non-COVID-19 patients with similar clinical symptoms, 33 tuberculosis patients, and 46 healthy individuals). After MS data processing and feature selection, eight machine learning methods were used to build classification models. A logistic regression machine learning model with 25 feature peaks achieved the highest accuracy (99%), with sensitivity of 98% and specificity of 100%, for the detection of COVID-19. This result demonstrated a great potential of the method for screening, routine surveillance, and diagnosis of COVID-19 in large populations, which is an important part of the pandemic control. |Area Under Curve[MESH] |COVID-19/*diagnosis/metabolism/virology[MESH] |Case-Control Studies[MESH] |Discriminant Analysis[MESH] |High-Throughput Screening Assays[MESH] |Humans[MESH] |Least-Squares Analysis[MESH] |Machine Learning[MESH] |Peptides/*blood[MESH] |Principal Component Analysis[MESH] |ROC Curve[MESH] |SARS-CoV-2/isolation & purification/*metabolism[MESH] |Sensitivity and Specificity[MESH] |Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/*methods[MESH]Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Prof(epmc).pdf DeepDyve Pubget Overpricing