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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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