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Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function.


ABSTRACT: 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.

SUBMITTER: Kao CC 

PROVIDER: S-EPMC8401842 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function.

Kao Chih-Chin CC   Wang San-Yuan SY   Chuang Yung-Kun YK   Lee Wei-Yuan WY   Chang Wei-Chiao WC   Wu Mai-Szu MS   Kuo Tai-Chih TC   Tsai I-Lin IL  

Journal of personalized medicine 20210731 8


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 estimat  ...[more]

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