Combination of IgG N-glycomics and corresponding transcriptomics data to identify anti-TNF-α treatment responders in inflammatory diseases

Csaba Váradi, Zsolt Holló, Szilárd Póliska, L. Nagy, Z. Szekanecz, Andrea Váncsa, K. Palatka, A. Guttman

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Prediction of responsiveness in biological therapies is an important and challenging issue in different diseases. Analyzing glycosylation pattern changes of key serum glycoproteins is one of the possible avenues to follow disease remission. The aim of this study was to investigate the changes of serum IgG glycoforms in Crohn's disease (CD) and rheumatoid arthritis patients in response to antitumor necrosis factor alpha (anti-TNF-α) treatment. IgG was isolated from patient serum samples using Protein A affinity pull-down, followed by the release of N-glycans with peptide-N-glycosidase F. The released glycans were fluorescently tagged with 8-aminopyrene-1,3,6-trisulfonate and analyzed by CGE with laser-induced fluorescent detection. Significant alterations were detected between responders and nonresponders in both disease groups. In CD patients, disease-specific alteration was found in response to anti-TNF-α therapy, which was also confirmed by transcriptomics data analysis of the corresponding glycosyltransferases and glycosidases.

Original languageEnglish
Pages (from-to)1330-1335
Number of pages6
JournalElectrophoresis
Volume36
Issue number11-12
DOIs
Publication statusPublished - Jun 1 2015

Fingerprint

Glycomics
Necrosis
Immunoglobulin G
Crohn Disease
Polysaccharides
Serum
Mannosyl-Glycoprotein Endo-beta-N-Acetylglucosaminidase
Glycosyltransferases
Biological Therapy
Glycoside Hydrolases
Staphylococcal Protein A
Therapeutics
Glycosylation
Rheumatoid Arthritis
Glycoproteins
Lasers

Keywords

  • Capillary electrophoresis
  • Glycosylation
  • IgG

ASJC Scopus subject areas

  • Biochemistry
  • Clinical Biochemistry

Cite this

Combination of IgG N-glycomics and corresponding transcriptomics data to identify anti-TNF-α treatment responders in inflammatory diseases. / Váradi, Csaba; Holló, Zsolt; Póliska, Szilárd; Nagy, L.; Szekanecz, Z.; Váncsa, Andrea; Palatka, K.; Guttman, A.

In: Electrophoresis, Vol. 36, No. 11-12, 01.06.2015, p. 1330-1335.

Research output: Contribution to journalArticle

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