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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.
Afiliação
  • Kao CC; Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Wang SY; Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
  • Chuang YK; Taipei Medical University-Research Center of Urology and Kidney (TMU-RCUK), Taipei Medical University, Taipei 11031, Taiwan.
  • Lee WY; Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
  • Chang WC; Master Program in Food Safety, Taipei Medical University, Taipei 11031, Taiwan.
  • Wu MS; School of Food Safety, Taipei Medical University, Taipei 11031, Taiwan.
  • Kuo TC; Nutrition Research Center, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Tsai IL; Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan.
J Pers Med ; 11(8)2021 Jul 31.
Article em En | MEDLINE | ID: mdl-34442405
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article