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10.1002/pmic.202100160

http://scihub22266oqcxt.onion/10.1002/pmic.202100160
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34477316!8646299!34477316
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suck abstract from ncbi


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pmid34477316      Proteomics 2021 ; 21 (20): e2100160
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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 #MMPMID34477316
  • Latosinska A; Siwy J; Cherney DZ; Perkins BA; Mischak H; Beige J
  • Proteomics 2021[Oct]; 21 (20): e2100160 PMID34477316show ga
  • 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-19 prior to and after drug treatment were collected from the human urinary proteome database. The drugs chosen were selected based on availability of sufficient number of participants in the dataset (n > 20) and potential value of drug therapies in the treatment of COVID-19 based on reports in the literature. In these participants without COVID-19, spironolactone did not demonstrate a significant impact on CoV50 scoring. Empagliflozin treatment resulted in a significant change in CoV50 scoring, indicative of a potential therapeutic benefit. The study serves as a proof-of-principle for a drug repurposing approach based on human urinary peptide signatures. The results support the initiation of a randomized control trial testing a potential positive effect of empagliflozin for severe COVID-19, possibly via endothelial protective mechanisms.
  • |*COVID-19[MESH]
  • |Drug Repositioning[MESH]
  • |Humans[MESH]
  • |Peptides[MESH]
  • |Proteomics[MESH]
  • |SARS-CoV-2[MESH]


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