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Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS
Richa Batra; Rie Uni; Sergio Alvarez-Mulett; Luis G. Gomez-Escobar; Edwin Patino; Katherine Hoffman; Will Simmons; Kelsey Chetnik; Mustafa Buyukozkan; Elisa Benedetti; Karsten Suhre; Edward Schenck; Soo Jung Cho; Augustine M.K. Choi; Frank Schmidt; Mary E. Choi; Jan Krumsiek.
Afiliação
  • Richa Batra; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York,
  • Rie Uni; Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA
  • Sergio Alvarez-Mulett; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
  • Luis G. Gomez-Escobar; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
  • Edwin Patino; Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA
  • Katherine Hoffman; Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
  • Will Simmons; Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
  • Kelsey Chetnik; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York,
  • Mustafa Buyukozkan; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York,
  • Elisa Benedetti; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York,
  • Karsten Suhre; Bioinformatics Core, Weill Cornell Medicine Qatar, Qatar Foundation, Doha, Qatar
  • Edward Schenck; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
  • Soo Jung Cho; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
  • Augustine M.K. Choi; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
  • Frank Schmidt; Proteomics Core, Weill Cornell Medicine Qatar, Qatar Foundation, Doha, Qatar
  • Mary E. Choi; Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA
  • Jan Krumsiek; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York,
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22277939
ABSTRACT
Acute respiratory distress syndrome (ARDS), a life-threatening condition during critical illness, is a common complication of COVID-19. It can originate from various disease etiologies, including severe infections, major injury, or inhalation of irritants. ARDS poses substantial clinical challenges due to a lack of etiology-specific therapies, multisystem involvement, and heterogeneous, poor patient outcomes. A molecular comparison of ARDS groups holds the potential to reveal common and distinct mechanisms underlying ARDS pathogenesis. In this study, we performed a comparative analysis of urine-based metabolomics and proteomics profiles from COVID-19 ARDS patients (n = 42) and bacterial sepsis-induced ARDS patients (n = 17). The comparison of these ARDS etiologies identified 150 metabolites and 70 proteins that were differentially abundant between the two groups. Based on these findings, we interrogated the interplay of cell adhesion/extracellular matrix molecules, inflammation, and mitochondrial dysfunction in ARDS pathogenesis through a multi-omic network approach. Moreover, we identified a proteomic signature associated with mortality in COVID-19 ARDS patients, which contained several proteins that had previously been implicated in clinical manifestations frequently linked with ARDS pathogenesis. In summary, our results provide evidence for significant molecular differences in ARDS patients from different etiologies and a potential synergy of extracellular matrix molecules, inflammation, and mitochondrial dysfunction in ARDS pathogenesis. The proteomic mortality signature should be further investigated in future studies to develop prediction models for COVID-19 patient outcomes.
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo de etiologia / Experimental_studies / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo de etiologia / Experimental_studies / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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