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Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function
Immunoglobulin G (IgG) N-glycosylation was discovered to have an association with inflammation status, which has the potential to be a novel biomarker for kidney diseases. In this study, we applied an ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) method to plasm...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401842/ https://www.ncbi.nlm.nih.gov/pubmed/34442405 http://dx.doi.org/10.3390/jpm11080761 |
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author | Kao, Chih-Chin Wang, San-Yuan Chuang, Yung-Kun Lee, Wei-Yuan Chang, Wei-Chiao Wu, Mai-Szu Kuo, Tai-Chih Tsai, I-Lin |
author_facet | Kao, Chih-Chin Wang, San-Yuan Chuang, Yung-Kun Lee, Wei-Yuan Chang, Wei-Chiao Wu, Mai-Szu Kuo, Tai-Chih Tsai, I-Lin |
author_sort | Kao, Chih-Chin |
collection | PubMed |
description | Immunoglobulin G (IgG) N-glycosylation was discovered to have an association with inflammation status, which has the potential to be a novel biomarker for kidney diseases. In this study, we applied an ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) method to plasma and urine samples from 57 individuals with different levels of kidney function. Natural abundances of total IgG, IgG1, IgG2, and IgG3 subclasses in plasma showed positive correlations to the estimated glomerular filtration rates (eGFRs). Eighteen IgG glycopeptides also showed positive correlations. In contrast, higher IgG amounts were found in urine samples from participants with lower eGFR values. After normalizing IgG glycopeptides from plasma to their respective protein amounts, H4N4F1S1-IgG1 (r = 0.37, p = 0.0047, significant) and H5N4F1S1-IgG1 (r = 0.25, p = 0.063, marginally significant) were the two glycopeptides that still had positive correlations with eGFRs. The results showed that the UHPLC-MS/MS method is capable of investigating IgG profiles, and monitoring IgG and glycosylation patterns is worthy of further clinical application for kidney disease. |
format | Online Article Text |
id | pubmed-8401842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84018422021-08-29 Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function Kao, Chih-Chin Wang, San-Yuan Chuang, Yung-Kun Lee, Wei-Yuan Chang, Wei-Chiao Wu, Mai-Szu Kuo, Tai-Chih Tsai, I-Lin J Pers Med Article Immunoglobulin G (IgG) N-glycosylation was discovered to have an association with inflammation status, which has the potential to be a novel biomarker for kidney diseases. In this study, we applied an ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) method to plasma and urine samples from 57 individuals with different levels of kidney function. Natural abundances of total IgG, IgG1, IgG2, and IgG3 subclasses in plasma showed positive correlations to the estimated glomerular filtration rates (eGFRs). Eighteen IgG glycopeptides also showed positive correlations. In contrast, higher IgG amounts were found in urine samples from participants with lower eGFR values. After normalizing IgG glycopeptides from plasma to their respective protein amounts, H4N4F1S1-IgG1 (r = 0.37, p = 0.0047, significant) and H5N4F1S1-IgG1 (r = 0.25, p = 0.063, marginally significant) were the two glycopeptides that still had positive correlations with eGFRs. The results showed that the UHPLC-MS/MS method is capable of investigating IgG profiles, and monitoring IgG and glycosylation patterns is worthy of further clinical application for kidney disease. MDPI 2021-07-31 /pmc/articles/PMC8401842/ /pubmed/34442405 http://dx.doi.org/10.3390/jpm11080761 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kao, Chih-Chin Wang, San-Yuan Chuang, Yung-Kun Lee, Wei-Yuan Chang, Wei-Chiao Wu, Mai-Szu Kuo, Tai-Chih Tsai, I-Lin Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title | Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title_full | Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title_fullStr | Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title_full_unstemmed | Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title_short | Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function |
title_sort | clinical mass spectrometry discovered human igg sialylation as a potential biosignature for kidney function |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401842/ https://www.ncbi.nlm.nih.gov/pubmed/34442405 http://dx.doi.org/10.3390/jpm11080761 |
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