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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; Gonzalez-Kozlova, Edgar; Kauffman, Justin; Kumar, Arvind; Paranjpe, Manish; Hagan, Ross O; Kamat, Samir; Gulamali, Faris F; 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; Department of Medicine, Stanford University, Stanford, CA, USA.
  • Jayaraman P; The Charles Bronfman Institute for Personalized Medicine (CBIPM), Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Su CY; Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
  • Zhou S; Department of Computer Science, Quantitative Life Sciences, McGill University, Montreal, QC, Canada.
  • Chen S; Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
  • Thompson R; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
  • Del Valle DM; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kenigsberg E; The Charles Bronfman Institute for Personalized Medicine (CBIPM), Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Zhao S; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Jaladanki S; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Chaudhary K; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Ascolillo S; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Vaid A; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gonzalez-Kozlova E; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kauffman J; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kumar A; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Paranjpe M; Clinical Informatics, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
  • Hagan RO; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kamat S; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gulamali FF; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Xie H; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Harris J; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Patel M; Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Argueta K; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Batchelor C; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Nie K; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Dellepiane S; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Scott L; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Levin MA; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • He JC; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Suarez-Farinas M; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Coca SG; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Chan L; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Azeloglu EU; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Schadt E; Department of Medicine, Division of Nephrology, 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; The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Merad M; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kim-Schulze S; Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Richards B; Department of Biostatistics, 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, NY, USA.
  • Charney AW; Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Nadkarni GN; Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Commun Med (Lond) ; 3(1): 81, 2023 Jun 12.
Article em En | MEDLINE | ID: mdl-37308534
Acute kidney injury (AKI) is a sudden, sometimes fatal, episode of kidney failure or damage. It is a known complication of COVID-19, albeit through unclear mechanisms. COVID-19 is also associated with kidney dysfunction in the long term, or chronic kidney disease (CKD). There is a need to better understand which patients with COVID-19 are at risk of AKI or CKD. We measure levels of several thousand proteins in the blood of hospitalized COVID-19 patients. We discover and validate sets of proteins associated with severe AKI and CKD in these patients. The markers identified suggest that kidney injury in COVID-19 patients involves damage to kidney cells that reabsorb fluid from urine and reduced blood flow to the heart, causing damage to heart muscles. Our findings might help clinicians to predict kidney injury in patients with COVID-19, and to understand its mechanisms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos