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Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection.
Paranjpe, Ishan; Jayaraman, Pushkala; Su, Chen-Yang; Zhou, Sirui; Chen, Steven; Thompson, Ryan; Del Valle, Diane Marie; Kenigsberg, Ephraim; Zhao, Shan; Jaladanki, Suraj; Chaudhary, Kumardeep; Ascolillo, Steven; Vaid, Akhil; Kumar, Arvind; Kozlova, Edgar; Paranjpe, Manish; O'Hagan, Ross; Kamat, Samir; Gulamali, Faris F; Kauffman, Justin; Xie, Hui; Harris, Joceyln; Patel, Manishkumar; Argueta, Kimberly; Batchelor, Craig; Nie, Kai; Dellepiane, Sergio; Scott, Leisha; Levin, Matthew A; He, John Cijiang; Suarez-Farinas, Mayte; Coca, Steven G; Chan, Lili; Azeloglu, Evren U; Schadt, Eric; Beckmann, Noam; Gnjatic, Sacha; Merad, Miram; Kim-Schulze, Seunghee; Richards, Brent; Glicksberg, Benjamin S; Charney, Alexander W; Nadkarni, Girish N.
Afiliação
  • Paranjpe I; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Jayaraman P; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Su CY; Department of Medicine, Stanford University, San Francisco, California, United States of America.
  • Zhou S; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Chen S; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Thompson R; Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Del Valle DM; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
  • Kenigsberg E; Department of Computer Science, McGill University, Montréal, Québec, Canada.
  • Zhao S; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
  • Jaladanki S; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.
  • Chaudhary K; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Ascolillo S; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Vaid A; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kumar A; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kozlova E; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Paranjpe M; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • O'Hagan R; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Kamat S; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gulamali FF; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kauffman J; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Xie H; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Harris J; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Patel M; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Argueta K; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Batchelor C; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Nie K; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Dellepiane S; Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Scott L; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Levin MA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • He JC; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Suarez-Farinas M; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Coca SG; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Chan L; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Azeloglu EU; Department of Medicine, Stanford University, San Francisco, California, United States of America.
  • Schadt E; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Beckmann N; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gnjatic S; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Merad M; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kim-Schulze S; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Richards B; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Glicksberg BS; Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Charney AW; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Nadkarni GN; The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
medRxiv ; 2022 Aug 29.
Article em En | MEDLINE | ID: mdl-36093350
ABSTRACT
Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophysiological mechanisms. Using measurements of ∼4000 plasma proteins in two cohorts of patients hospitalized with COVID-19, we discovered and validated markers of COVID-associated AKI (stage 2 or 3) and long-term kidney dysfunction. In the discovery cohort (N= 437), we identified 413 higher plasma abundances of protein targets and 40 lower plasma abundances of protein targets associated with COVID-AKI (adjusted p <0.05). Of these, 62 proteins were validated in an external cohort (p <0.05, N =261). We demonstrate that COVID-AKI is associated with increased markers of tubular injury (NGAL) and myocardial injury. Using estimated glomerular filtration (eGFR) measurements taken after discharge, we also find that 25 of the 62 AKI-associated proteins are significantly associated with decreased post-discharge eGFR (adjusted p <0.05). Proteins most strongly associated with decreased post-discharge eGFR included desmocollin-2, trefoil factor 3, transmembrane emp24 domain-containing protein 10, and cystatin-C indicating tubular dysfunction and injury. Using clinical and proteomic data, our results suggest that while both acute and long-term COVID-associated kidney dysfunction are associated with markers of tubular dysfunction, AKI is driven by a largely multifactorial process involving hemodynamic instability and myocardial damage.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: MedRxiv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: MedRxiv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos