N-glycomic Analysis of Z(IgA1) Partitioned Serum and Salivary Immunoglobulin A by Capillary Electrophoresis.


Journal

Current molecular medicine
ISSN: 1875-5666
Titre abrégé: Curr Mol Med
Pays: Netherlands
ID NLM: 101093076

Informations de publication

Date de publication:
2020
Historique:
received: 24 02 2019
revised: 19 03 2020
accepted: 25 03 2020
pubmed: 14 4 2020
medline: 23 11 2021
entrez: 14 4 2020
Statut: ppublish

Résumé

Application of capillary electrophoresis with laser induced fluorescence detection (CE-LIF) to identify the N-glycosylation structures of serum and saliva IgA from healthy controls and patients with malignant hematological diseases having cytostatic treatment induced mild oral mucosal lesions. Altered N-glycosylation of body fluid glycoproteins can be an effective indicator of most inflammatory processes. Immunoglobulin A (IgA) is the second highest abundant immunoglobulin and has a major role in the immune-defense against potential pathogen attacks. While IgA is abundant in serum, secretory immunoglobulin A (sIgA) is one of the most prevalent proteins in mucosal surfaces, such as in saliva. Our aim was to investigate the changes of IgA glycosylation in serum and saliva as a response to an administered cytostatic treatment in patients with malignant hematological disorders. Capillary electrophoresis with laser induced fluorescent detection (CE-LIF) was used to analyze the N-glycosylation profiles of Z(IgA1) partitioned immunoglobulin A in pooled serum and saliva of 10 control subjects and 8 patients with malignant hematological diseases having cytostatic treatment induced mild oral mucosal lesions. Eight of 31 and four of 38 N-glycans in serum and saliva, respectively, showed significant (p<0.05) differences upon comparison to the control group. Thirteen glycans were present in the saliva but not in the serum, on the other hand, six structures were found in the serum samples not present in the saliva. The developed Z(IgA1) partitioning and the high resolution CE-LIF based glyocoanalytical methods provided an efficient and sensitive workflow to detect and monitor IgA glycosylation alterations in serum and saliva with the scope for widespread molecular medicinal use.

Sections du résumé

AIMS
Application of capillary electrophoresis with laser induced fluorescence detection (CE-LIF) to identify the N-glycosylation structures of serum and saliva IgA from healthy controls and patients with malignant hematological diseases having cytostatic treatment induced mild oral mucosal lesions.
BACKGROUND
Altered N-glycosylation of body fluid glycoproteins can be an effective indicator of most inflammatory processes. Immunoglobulin A (IgA) is the second highest abundant immunoglobulin and has a major role in the immune-defense against potential pathogen attacks. While IgA is abundant in serum, secretory immunoglobulin A (sIgA) is one of the most prevalent proteins in mucosal surfaces, such as in saliva.
OBJECTIVE
Our aim was to investigate the changes of IgA glycosylation in serum and saliva as a response to an administered cytostatic treatment in patients with malignant hematological disorders.
METHODS
Capillary electrophoresis with laser induced fluorescent detection (CE-LIF) was used to analyze the N-glycosylation profiles of Z(IgA1) partitioned immunoglobulin A in pooled serum and saliva of 10 control subjects and 8 patients with malignant hematological diseases having cytostatic treatment induced mild oral mucosal lesions.
RESULTS
Eight of 31 and four of 38 N-glycans in serum and saliva, respectively, showed significant (p<0.05) differences upon comparison to the control group. Thirteen glycans were present in the saliva but not in the serum, on the other hand, six structures were found in the serum samples not present in the saliva.
CONCLUSION
The developed Z(IgA1) partitioning and the high resolution CE-LIF based glyocoanalytical methods provided an efficient and sensitive workflow to detect and monitor IgA glycosylation alterations in serum and saliva with the scope for widespread molecular medicinal use.

Identifiants

pubmed: 32282299
pii: CMM-EPUB-105777
doi: 10.2174/1566524020666200413114151
doi:

Substances chimiques

Blood Proteins 0
Immunoglobulin A 0
Polysaccharides 0
Salivary Proteins and Peptides 0
glycosylated IgA 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

781-788

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Brigitta Meszaros (B)

Horvath Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School for Medicine, Faculty of Medicine, University of Debrecen, Hungary.

Zsuzsanna Kovacs (Z)

Horvath Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School for Medicine, Faculty of Medicine, University of Debrecen, Hungary.

Eniko Gebri (E)

Department of Dentoalveolar Surgery and Dental Outpatient Care, Faculty of Dentistry, University of Debrecen, Debrecen, Hungary.

Hajnalka Jankovics (H)

Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Veszprem, Hungary.

Ferenc Vonderviszt (F)

Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Veszprem, Hungary.

Attila Kiss (A)

Department of Hematopoietic Transplantation Center, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Adam Simon (A)

Horvath Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School for Medicine, Faculty of Medicine, University of Debrecen, Hungary.

Sarolta Botka (S)

BotFog Kft, Budapest, Hungary.

Tibor Hortobagyi (T)

Cerebrovascular and Neurodegenerative Research Group, Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Andras Guttman (A)

Horvath Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School for Medicine, Faculty of Medicine, University of Debrecen, Hungary.

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Classifications MeSH