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10.1093/bib/bbab191 http://scihub22266oqcxt.onion/10.1093/bib/bbab191 34015823!8195003!34015823     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34015823&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       Brief+Bioinform 2021 ; 22 (6): ? Nephropedia Template TP {{tp|p=34015823|t=2021. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model |pdf=|usr=}}{{34015823}} gab.com Text COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34015823 #FOAvip In response to the COVID-19 outbreak, scientists and medical researchers are capturing a wide range of host responses, symptoms and lingering postrecovery problems within the human population. These variable clinical manifestations suggest differences in influential factors, such as innate and adaptive host immunity, existing or underlying health conditions, comorbidities, genetics and other factors-compounding the complexity of COVID-19 pathobiology and potential biomarkers associated with the disease, as they become available. The heterogeneous data pose challenges for efficient extrapolation of information into clinical applications. We have curated 145 COVID-19 biomarkers by developing a novel cross-cutting disease biomarker data model that allows integration and evaluation of biomarkers in patients with comorbidities. Most biomarkers are related to the immune (SAA, TNF- proportional, variant and IP-10) or coagulation (D-dimer, antithrombin and VWF) cascades, suggesting complex vascular pathobiology of the disease. Furthermore, we observe commonality with established cancer biomarkers (ACE2, IL-6, IL-4 and IL-2) as well as biomarkers for metabolic syndrome and diabetes (CRP, NLR and LDL). We explore these trends as we put forth a COVID-19 biomarker resource (https://data.oncomx.org/covid19) that will help researchers and diagnosticians alike. Twit Text FOAVip COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34015823 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34015823 #FOAvip English Wikipedia <ref>{{Cite pmid|34015823}}</ref> COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model #MMPMID34015823 Gogate N; Lyman D; Bell A; Cauley E; Crandall KA; Joseph A; Kahsay R; Natale DA; Schriml LM; Sen S; Mazumder R Brief Bioinform 2021[Nov]; 22 (6): ? PMID34015823show ga In response to the COVID-19 outbreak, scientists and medical researchers are capturing a wide range of host responses, symptoms and lingering postrecovery problems within the human population. These variable clinical manifestations suggest differences in influential factors, such as innate and adaptive host immunity, existing or underlying health conditions, comorbidities, genetics and other factors-compounding the complexity of COVID-19 pathobiology and potential biomarkers associated with the disease, as they become available. The heterogeneous data pose challenges for efficient extrapolation of information into clinical applications. We have curated 145 COVID-19 biomarkers by developing a novel cross-cutting disease biomarker data model that allows integration and evaluation of biomarkers in patients with comorbidities. Most biomarkers are related to the immune (SAA, TNF- proportional, variant and IP-10) or coagulation (D-dimer, antithrombin and VWF) cascades, suggesting complex vascular pathobiology of the disease. Furthermore, we observe commonality with established cancer biomarkers (ACE2, IL-6, IL-4 and IL-2) as well as biomarkers for metabolic syndrome and diabetes (CRP, NLR and LDL). We explore these trends as we put forth a COVID-19 biomarker resource (https://data.oncomx.org/covid19) that will help researchers and diagnosticians alike. ?COVID-19 biomarkers and their overlap with comorbidities in a disease (epmc).pdf DeepDyve Pubget Overpricing