Communications Medicine (Jun 2023)
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
- Ishan Paranjpe,
- Pushkala Jayaraman,
- Chen-Yang Su,
- Sirui Zhou,
- Steven Chen,
- Ryan Thompson,
- Diane Marie Del Valle,
- Ephraim Kenigsberg,
- Shan Zhao,
- Suraj Jaladanki,
- Kumardeep Chaudhary,
- Steven Ascolillo,
- Akhil Vaid,
- Edgar Gonzalez-Kozlova,
- Justin Kauffman,
- Arvind Kumar,
- Manish Paranjpe,
- Ross O. Hagan,
- Samir Kamat,
- Faris F. Gulamali,
- Hui Xie,
- Joceyln Harris,
- Manishkumar Patel,
- Kimberly Argueta,
- Craig Batchelor,
- Kai Nie,
- Sergio Dellepiane,
- Leisha Scott,
- Matthew A. Levin,
- John Cijiang He,
- Mayte Suarez-Farinas,
- Steven G. Coca,
- Lili Chan,
- Evren U. Azeloglu,
- Eric Schadt,
- Noam Beckmann,
- Sacha Gnjatic,
- Miram Merad,
- Seunghee Kim-Schulze,
- Brent Richards,
- Benjamin S. Glicksberg,
- Alexander W. Charney,
- Girish N. Nadkarni
Affiliations
- Ishan Paranjpe
- Department of Medicine, Stanford University
- Pushkala Jayaraman
- The Charles Bronfman Institute for Personalized Medicine (CBIPM), Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai
- Chen-Yang Su
- Lady Davis Institute, Jewish General Hospital, McGill University
- Sirui Zhou
- Lady Davis Institute, Jewish General Hospital, McGill University
- Steven Chen
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai
- Ryan Thompson
- The Charles Bronfman Institute for Personalized Medicine (CBIPM), Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai
- Diane Marie Del Valle
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Ephraim Kenigsberg
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai
- Shan Zhao
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai
- Suraj Jaladanki
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Kumardeep Chaudhary
- Clinical Informatics, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB)
- Steven Ascolillo
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Akhil Vaid
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Edgar Gonzalez-Kozlova
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Justin Kauffman
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Arvind Kumar
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Manish Paranjpe
- Division of Health Sciences and Technology, Harvard Medical School
- Ross O. Hagan
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Samir Kamat
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Faris F. Gulamali
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Hui Xie
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Joceyln Harris
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Manishkumar Patel
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Kimberly Argueta
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Craig Batchelor
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Kai Nie
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Sergio Dellepiane
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai
- Leisha Scott
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai
- Matthew A. Levin
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- John Cijiang He
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai
- Mayte Suarez-Farinas
- Department of Biostatistics, Icahn School of Medicine at Mount Sinai
- Steven G. Coca
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai
- Lili Chan
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai
- Evren U. Azeloglu
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai
- Eric Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
- Noam Beckmann
- The Mount Sinai Clinical Intelligence Center (MSCIC), The Charles Bronfman Institute for Personalized Medicine (CBIPM), Icahn School of Medicine at Mount Sinai
- Sacha Gnjatic
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai
- Miram Merad
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai
- Seunghee Kim-Schulze
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai
- Brent Richards
- Lady Davis Institute, Jewish General Hospital, McGill University
- Benjamin S. Glicksberg
- Data Science and Machine Learning, Character Biosciences
- Alexander W. Charney
- Lady Davis Institute, Jewish General Hospital, McGill University
- Girish N. Nadkarni
- The Charles Bronfman Institute for Personalized Medicine (CBIPM), Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai
- DOI
- https://doi.org/10.1038/s43856-023-00307-8
- Journal volume & issue
-
Vol. 3,
no. 1
pp. 1 – 10
Abstract
Abstract Background 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. Methods 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 30 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). Results 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. Conclusions 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.