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Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258469/ https://www.ncbi.nlm.nih.gov/pubmed/37308534 http://dx.doi.org/10.1038/s43856-023-00307-8 |
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author | 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. |
author_facet | 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. |
author_sort | Paranjpe, Ishan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10258469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102584692023-06-14 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. Commun Med (Lond) Article 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. Nature Publishing Group UK 2023-06-12 /pmc/articles/PMC10258469/ /pubmed/37308534 http://dx.doi.org/10.1038/s43856-023-00307-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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. Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title | Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title_full | Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title_fullStr | Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title_full_unstemmed | Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title_short | Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection |
title_sort | proteomic characterization of acute kidney injury in patients hospitalized with sars-cov2 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258469/ https://www.ncbi.nlm.nih.gov/pubmed/37308534 http://dx.doi.org/10.1038/s43856-023-00307-8 |
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