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Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury
INTRODUCTION: Acute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple et...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057242/ https://www.ncbi.nlm.nih.gov/pubmed/23388612 http://dx.doi.org/10.1186/cc12503 |
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author | Kashani, Kianoush Al-Khafaji, Ali Ardiles, Thomas Artigas, Antonio Bagshaw, Sean M Bell, Max Bihorac, Azra Birkhahn, Robert Cely, Cynthia M Chawla, Lakhmir S Davison, Danielle L Feldkamp, Thorsten Forni, Lui G Gong, Michelle Ng Gunnerson, Kyle J Haase, Michael Hackett, James Honore, Patrick M Hoste, Eric AJ Joannes-Boyau, Olivier Joannidis, Michael Kim, Patrick Koyner, Jay L Laskowitz, Daniel T Lissauer, Matthew E Marx, Gernot McCullough, Peter A Mullaney, Scott Ostermann, Marlies Rimmelé, Thomas Shapiro, Nathan I Shaw, Andrew D Shi, Jing Sprague, Amy M Vincent, Jean-Louis Vinsonneau, Christophe Wagner, Ludwig Walker, Michael G Wilkerson, R Gentry Zacharowski, Kai Kellum, John A |
author_facet | Kashani, Kianoush Al-Khafaji, Ali Ardiles, Thomas Artigas, Antonio Bagshaw, Sean M Bell, Max Bihorac, Azra Birkhahn, Robert Cely, Cynthia M Chawla, Lakhmir S Davison, Danielle L Feldkamp, Thorsten Forni, Lui G Gong, Michelle Ng Gunnerson, Kyle J Haase, Michael Hackett, James Honore, Patrick M Hoste, Eric AJ Joannes-Boyau, Olivier Joannidis, Michael Kim, Patrick Koyner, Jay L Laskowitz, Daniel T Lissauer, Matthew E Marx, Gernot McCullough, Peter A Mullaney, Scott Ostermann, Marlies Rimmelé, Thomas Shapiro, Nathan I Shaw, Andrew D Shi, Jing Sprague, Amy M Vincent, Jean-Louis Vinsonneau, Christophe Wagner, Ludwig Walker, Michael G Wilkerson, R Gentry Zacharowski, Kai Kellum, John A |
author_sort | Kashani, Kianoush |
collection | PubMed |
description | INTRODUCTION: Acute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple etiologies exist. The objective of this study was to identify and validate novel biomarkers of AKI. METHODS: We performed two multicenter observational studies in critically ill patients at risk for AKI - discovery and validation. The top two markers from discovery were validated in a second study (Sapphire) and compared to a number of previously described biomarkers. In the discovery phase, we enrolled 522 adults in three distinct cohorts including patients with sepsis, shock, major surgery, and trauma and examined over 300 markers. In the Sapphire validation study, we enrolled 744 adult subjects with critical illness and without evidence of AKI at enrollment; the final analysis cohort was a heterogeneous sample of 728 critically ill patients. The primary endpoint was moderate to severe AKI (KDIGO stage 2 to 3) within 12 hours of sample collection. RESULTS: Moderate to severe AKI occurred in 14% of Sapphire subjects. The two top biomarkers from discovery were validated. Urine insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G(1 )cell cycle arrest, a key mechanism implicated in AKI, together demonstrated an AUC of 0.80 (0.76 and 0.79 alone). Urine [TIMP-2]·[IGFBP7] was significantly superior to all previously described markers of AKI (P <0.002), none of which achieved an AUC >0.72. Furthermore, [TIMP-2]·[IGFBP7] significantly improved risk stratification when added to a nine-variable clinical model when analyzed using Cox proportional hazards model, generalized estimating equation, integrated discrimination improvement or net reclassification improvement. Finally, in sensitivity analyses [TIMP-2]·[IGFBP7] remained significant and superior to all other markers regardless of changes in reference creatinine method. CONCLUSIONS: Two novel markers for AKI have been identified and validated in independent multicenter cohorts. Both markers are superior to existing markers, provide additional information over clinical variables and add mechanistic insight into AKI. TRIAL REGISTRATION: ClinicalTrials.gov number NCT01209169. |
format | Online Article Text |
id | pubmed-4057242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40572422014-06-14 Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury Kashani, Kianoush Al-Khafaji, Ali Ardiles, Thomas Artigas, Antonio Bagshaw, Sean M Bell, Max Bihorac, Azra Birkhahn, Robert Cely, Cynthia M Chawla, Lakhmir S Davison, Danielle L Feldkamp, Thorsten Forni, Lui G Gong, Michelle Ng Gunnerson, Kyle J Haase, Michael Hackett, James Honore, Patrick M Hoste, Eric AJ Joannes-Boyau, Olivier Joannidis, Michael Kim, Patrick Koyner, Jay L Laskowitz, Daniel T Lissauer, Matthew E Marx, Gernot McCullough, Peter A Mullaney, Scott Ostermann, Marlies Rimmelé, Thomas Shapiro, Nathan I Shaw, Andrew D Shi, Jing Sprague, Amy M Vincent, Jean-Louis Vinsonneau, Christophe Wagner, Ludwig Walker, Michael G Wilkerson, R Gentry Zacharowski, Kai Kellum, John A Crit Care Research INTRODUCTION: Acute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple etiologies exist. The objective of this study was to identify and validate novel biomarkers of AKI. METHODS: We performed two multicenter observational studies in critically ill patients at risk for AKI - discovery and validation. The top two markers from discovery were validated in a second study (Sapphire) and compared to a number of previously described biomarkers. In the discovery phase, we enrolled 522 adults in three distinct cohorts including patients with sepsis, shock, major surgery, and trauma and examined over 300 markers. In the Sapphire validation study, we enrolled 744 adult subjects with critical illness and without evidence of AKI at enrollment; the final analysis cohort was a heterogeneous sample of 728 critically ill patients. The primary endpoint was moderate to severe AKI (KDIGO stage 2 to 3) within 12 hours of sample collection. RESULTS: Moderate to severe AKI occurred in 14% of Sapphire subjects. The two top biomarkers from discovery were validated. Urine insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G(1 )cell cycle arrest, a key mechanism implicated in AKI, together demonstrated an AUC of 0.80 (0.76 and 0.79 alone). Urine [TIMP-2]·[IGFBP7] was significantly superior to all previously described markers of AKI (P <0.002), none of which achieved an AUC >0.72. Furthermore, [TIMP-2]·[IGFBP7] significantly improved risk stratification when added to a nine-variable clinical model when analyzed using Cox proportional hazards model, generalized estimating equation, integrated discrimination improvement or net reclassification improvement. Finally, in sensitivity analyses [TIMP-2]·[IGFBP7] remained significant and superior to all other markers regardless of changes in reference creatinine method. CONCLUSIONS: Two novel markers for AKI have been identified and validated in independent multicenter cohorts. Both markers are superior to existing markers, provide additional information over clinical variables and add mechanistic insight into AKI. TRIAL REGISTRATION: ClinicalTrials.gov number NCT01209169. BioMed Central 2013 2013-02-06 /pmc/articles/PMC4057242/ /pubmed/23388612 http://dx.doi.org/10.1186/cc12503 Text en Copyright © 2013 Kashani et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Kashani, Kianoush Al-Khafaji, Ali Ardiles, Thomas Artigas, Antonio Bagshaw, Sean M Bell, Max Bihorac, Azra Birkhahn, Robert Cely, Cynthia M Chawla, Lakhmir S Davison, Danielle L Feldkamp, Thorsten Forni, Lui G Gong, Michelle Ng Gunnerson, Kyle J Haase, Michael Hackett, James Honore, Patrick M Hoste, Eric AJ Joannes-Boyau, Olivier Joannidis, Michael Kim, Patrick Koyner, Jay L Laskowitz, Daniel T Lissauer, Matthew E Marx, Gernot McCullough, Peter A Mullaney, Scott Ostermann, Marlies Rimmelé, Thomas Shapiro, Nathan I Shaw, Andrew D Shi, Jing Sprague, Amy M Vincent, Jean-Louis Vinsonneau, Christophe Wagner, Ludwig Walker, Michael G Wilkerson, R Gentry Zacharowski, Kai Kellum, John A Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title | Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title_full | Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title_fullStr | Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title_full_unstemmed | Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title_short | Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
title_sort | discovery and validation of cell cycle arrest biomarkers in human acute kidney injury |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057242/ https://www.ncbi.nlm.nih.gov/pubmed/23388612 http://dx.doi.org/10.1186/cc12503 |
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