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Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis
Current methods for differentiation of kidney disease types are unspecific and may be invasive. Thus, there is a need for development of new biomarkers of kidney disorders that are specific and less invasive. In this study, we analyzed serum samples of diabetic kidney disease (DKD) and lupus nephrit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958067/ https://www.ncbi.nlm.nih.gov/pubmed/35355862 http://dx.doi.org/10.1155/2022/5631099 |
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author | Johnson, Nathan H. Keane, Robert W. de Rivero Vaccari, Juan Pablo |
author_facet | Johnson, Nathan H. Keane, Robert W. de Rivero Vaccari, Juan Pablo |
author_sort | Johnson, Nathan H. |
collection | PubMed |
description | Current methods for differentiation of kidney disease types are unspecific and may be invasive. Thus, there is a need for development of new biomarkers of kidney disorders that are specific and less invasive. In this study, we analyzed serum samples of diabetic kidney disease (DKD) and lupus nephritis (LN) patients to identify biomarkers of these two disorders. Serum samples were analyzed by Simple Plex assays. We calculated the area under the curve (AUC) as well as receiver operating characteristics (ROC) to obtain the sensitivity and specificity and other biomarker-related variables of apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), interleukin- (IL-) 18, Lipocalin-2/NGAL, epidermal growth factor (EGF), u-Plasminogen Activator (uPA), and C-reactive protein (CRP) as potential biomarkers. Protein levels of ASC, IL-18, EGF, and Lipocalin-2/NGAL were higher in DKD and LN patients when compared to controls, whereas only uPA was elevated in DKD patients and CRP in LN patients. As determined by the AUC, of the six analytes studied, EGF (AUC = 0.9935), Lipocalin-2/NGAL (0.9554), ASC (0.7666), and uPA (0.7522) are reliable biomarkers of DKD, whereas EGF (1.000), Lipocalin-2/NGAL (0.9412), uPA (0.7443), and IL-18 (0.7384) are more reliable for LN. The biomarkers analyzed can differentiate between healthy and affected individuals. However, there was no difference between the levels of these biomarkers in DKD vs LN. Thus, although these biomarkers cannot be used to categorize patients between DKD and LN, they are useful as biomarkers of renal pathology. |
format | Online Article Text |
id | pubmed-8958067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89580672022-03-29 Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis Johnson, Nathan H. Keane, Robert W. de Rivero Vaccari, Juan Pablo Oxid Med Cell Longev Research Article Current methods for differentiation of kidney disease types are unspecific and may be invasive. Thus, there is a need for development of new biomarkers of kidney disorders that are specific and less invasive. In this study, we analyzed serum samples of diabetic kidney disease (DKD) and lupus nephritis (LN) patients to identify biomarkers of these two disorders. Serum samples were analyzed by Simple Plex assays. We calculated the area under the curve (AUC) as well as receiver operating characteristics (ROC) to obtain the sensitivity and specificity and other biomarker-related variables of apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), interleukin- (IL-) 18, Lipocalin-2/NGAL, epidermal growth factor (EGF), u-Plasminogen Activator (uPA), and C-reactive protein (CRP) as potential biomarkers. Protein levels of ASC, IL-18, EGF, and Lipocalin-2/NGAL were higher in DKD and LN patients when compared to controls, whereas only uPA was elevated in DKD patients and CRP in LN patients. As determined by the AUC, of the six analytes studied, EGF (AUC = 0.9935), Lipocalin-2/NGAL (0.9554), ASC (0.7666), and uPA (0.7522) are reliable biomarkers of DKD, whereas EGF (1.000), Lipocalin-2/NGAL (0.9412), uPA (0.7443), and IL-18 (0.7384) are more reliable for LN. The biomarkers analyzed can differentiate between healthy and affected individuals. However, there was no difference between the levels of these biomarkers in DKD vs LN. Thus, although these biomarkers cannot be used to categorize patients between DKD and LN, they are useful as biomarkers of renal pathology. Hindawi 2022-03-20 /pmc/articles/PMC8958067/ /pubmed/35355862 http://dx.doi.org/10.1155/2022/5631099 Text en Copyright © 2022 Nathan H. Johnson et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Johnson, Nathan H. Keane, Robert W. de Rivero Vaccari, Juan Pablo Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title | Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title_full | Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title_fullStr | Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title_full_unstemmed | Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title_short | Renal and Inflammatory Proteins as Biomarkers of Diabetic Kidney Disease and Lupus Nephritis |
title_sort | renal and inflammatory proteins as biomarkers of diabetic kidney disease and lupus nephritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958067/ https://www.ncbi.nlm.nih.gov/pubmed/35355862 http://dx.doi.org/10.1155/2022/5631099 |
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