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Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study
Staphylococcus infection-associated glomerulonephritis (SAGN) and primary IgA nephropathy (IgAN) are separate disease entities requiring different treatment approaches. However, overlapping histologic features may cause a diagnostic dilemma. An exploratory proteomic study to identify potential disti...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560901/ https://www.ncbi.nlm.nih.gov/pubmed/33057112 http://dx.doi.org/10.1038/s41598-020-73847-x |
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author | Satoskar, Anjali A. Shapiro, John P. Jones, Mikayla Bott, Cherri Parikh, Samir V. Brodsky, Sergey V. Yu, Lianbo Nagaraja, Haikady N. Wilkey, Daniel W. Merchant, Michael L. Klein, Jon B. Nadasdy, Tibor Rovin, Brad H. |
author_facet | Satoskar, Anjali A. Shapiro, John P. Jones, Mikayla Bott, Cherri Parikh, Samir V. Brodsky, Sergey V. Yu, Lianbo Nagaraja, Haikady N. Wilkey, Daniel W. Merchant, Michael L. Klein, Jon B. Nadasdy, Tibor Rovin, Brad H. |
author_sort | Satoskar, Anjali A. |
collection | PubMed |
description | Staphylococcus infection-associated glomerulonephritis (SAGN) and primary IgA nephropathy (IgAN) are separate disease entities requiring different treatment approaches. However, overlapping histologic features may cause a diagnostic dilemma. An exploratory proteomic study to identify potential distinguishing biomarkers was performed on formalin fixed paraffin embedded kidney biopsy tissue, using mass spectrometry (HPLC–MS/MS) (n = 27) and immunohistochemistry (IHC) (n = 64), on four main diagnostic groups—SAGN, primary IgAN, acute tubular necrosis (ATN) and normal kidney (baseline transplant biopsies). Spectral counts modeled as a negative binomial distribution were used for statistical comparisons and in silico pathway analysis. Analysis of variance techniques were used to compare groups and the ROC curve to evaluate classification algorithms. The glomerular proteomes of SAGN and IgAN showed remarkable similarities, except for significantly higher levels of monocyte/macrophage proteins in SAGN—mainly lysozyme and S100A9. This finding was confirmed by IHC. In contrast, the tubulointerstitial proteomes were markedly different in IgAN and SAGN, with a lower abundance of metabolic pathway proteins and a higher abundance of extracellular matrix proteins in SAGN. The stress protein transglutaminase-2 (TGM2) was also significantly higher in SAGN. IHC of differentially-expressed glomerular and tubulointerstitial proteins can be used to help discriminate between SAGN and IgAN in ambiguous cases. |
format | Online Article Text |
id | pubmed-7560901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75609012020-10-19 Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study Satoskar, Anjali A. Shapiro, John P. Jones, Mikayla Bott, Cherri Parikh, Samir V. Brodsky, Sergey V. Yu, Lianbo Nagaraja, Haikady N. Wilkey, Daniel W. Merchant, Michael L. Klein, Jon B. Nadasdy, Tibor Rovin, Brad H. Sci Rep Article Staphylococcus infection-associated glomerulonephritis (SAGN) and primary IgA nephropathy (IgAN) are separate disease entities requiring different treatment approaches. However, overlapping histologic features may cause a diagnostic dilemma. An exploratory proteomic study to identify potential distinguishing biomarkers was performed on formalin fixed paraffin embedded kidney biopsy tissue, using mass spectrometry (HPLC–MS/MS) (n = 27) and immunohistochemistry (IHC) (n = 64), on four main diagnostic groups—SAGN, primary IgAN, acute tubular necrosis (ATN) and normal kidney (baseline transplant biopsies). Spectral counts modeled as a negative binomial distribution were used for statistical comparisons and in silico pathway analysis. Analysis of variance techniques were used to compare groups and the ROC curve to evaluate classification algorithms. The glomerular proteomes of SAGN and IgAN showed remarkable similarities, except for significantly higher levels of monocyte/macrophage proteins in SAGN—mainly lysozyme and S100A9. This finding was confirmed by IHC. In contrast, the tubulointerstitial proteomes were markedly different in IgAN and SAGN, with a lower abundance of metabolic pathway proteins and a higher abundance of extracellular matrix proteins in SAGN. The stress protein transglutaminase-2 (TGM2) was also significantly higher in SAGN. IHC of differentially-expressed glomerular and tubulointerstitial proteins can be used to help discriminate between SAGN and IgAN in ambiguous cases. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7560901/ /pubmed/33057112 http://dx.doi.org/10.1038/s41598-020-73847-x Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Satoskar, Anjali A. Shapiro, John P. Jones, Mikayla Bott, Cherri Parikh, Samir V. Brodsky, Sergey V. Yu, Lianbo Nagaraja, Haikady N. Wilkey, Daniel W. Merchant, Michael L. Klein, Jon B. Nadasdy, Tibor Rovin, Brad H. Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title | Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title_full | Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title_fullStr | Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title_full_unstemmed | Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title_short | Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study |
title_sort | differentiating staphylococcus infection-associated glomerulonephritis and primary iga nephropathy: a mass spectrometry-based exploratory study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560901/ https://www.ncbi.nlm.nih.gov/pubmed/33057112 http://dx.doi.org/10.1038/s41598-020-73847-x |
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