2021
DOI: 10.1002/pmic.202100160
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SGLT2‐Inhibition reverts urinary peptide changes associated with severe COVID‐19: An in‐silico proof‐of‐principle of proteomics‐based drug repurposing

Abstract: Severe COVID-19 is reflected by significant changes in urine peptides. Based on this observation, a clinical test predicting COVID-19 severity, CoV50, was developed and registered as in vitro diagnostic in Germany. We have hypothesized that molecular changes displayed by CoV50, likely reflective of endothelial damage, may be reversed by specific drugs. Such an impact by a drug could indicate potential benefits in the context of COVID-19. To test this hypothesis, urinary peptide data from patients without COVID… Show more

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Cited by 3 publications
(4 citation statements)
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“…The standard operating protocols describing urine sample preparation and extraction of peptides followed in this study have been applied in numerous studies, as reviewed previously [58]. The CE-MS analysis was conducted as described in detail by Zurbig et al [59], utilizing a P/ACE MDQ capillary electrophoresis system (Beckman Coulter, Fullerton, CA, USA) coupled with a Micro-TOF II MS (Bruker Daltonic, Bremen, Germany) instrument.…”
Section: Sample Preparation and Ce-ms Analysismentioning
confidence: 99%
“…The standard operating protocols describing urine sample preparation and extraction of peptides followed in this study have been applied in numerous studies, as reviewed previously [58]. The CE-MS analysis was conducted as described in detail by Zurbig et al [59], utilizing a P/ACE MDQ capillary electrophoresis system (Beckman Coulter, Fullerton, CA, USA) coupled with a Micro-TOF II MS (Bruker Daltonic, Bremen, Germany) instrument.…”
Section: Sample Preparation and Ce-ms Analysismentioning
confidence: 99%
“…The COV50 classifier, developed during the COVID-19 pandemic was able to predict the incidence of death and disease progression in infected patients (25). It also demonstrated significant prediction of mortality in patients without SARS-CoV-2 infection in the ICU but also in the general population (25,26).…”
Section: Introductionmentioning
confidence: 98%
“…Biomarkers such as AKI204, which is useful for predicting acute kidney injury (AKI) in ICU patients (20), and CKD273, which is a biomarker for the detection of chronic kidney disease (CKD), can predict worsening of kidney function (21) or cardiovascular outcome (22) and may be good biomarkers for both predicting kidney damage in polytraumatized patients and providing the time to start renal replacement therapy early (23,24). The COV50 classifier, developed during the COVID-19 pandemic was able to predict the incidence of death and disease progression in infected patients (25). It also demonstrated significant prediction of mortality in patients without SARS-CoV-2 infection in the ICU but also in the general population (25,26).…”
Section: Introductionmentioning
confidence: 99%
“…Given the fact that urinary peptides are reflective of the health status of individuals, CE-MS has been applied mainly in the context of biomarker research, to define biomarkers for early detection of disease [ 21 ], prediction of disease progression [ 22 , 23 ], treatment response and patient stratification in the clinical trial [ 24 ]. Among the most recent applications, a proof-of-principle study for the use of CE-MS in the drug repurposing field was published, showing the potential of sodium/glucose cotransporter 2 inhibitors to combat COVID-19 [ 25 ]. In addition to reports on clinical applications, investigations of the technical aspects concerning robustness and comparability with other techniques have been performed [ 4 , 9 ], supporting the applicability of CE-MS as a tool for clinical purposes.…”
Section: Introductionmentioning
confidence: 99%