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  Blood plasma/IgG N-glycome biosignatures associated with major depressive disorder symptom severity and the antidepressant response

Park, D. I., Stambuk, J., Razdorov, G., Pucic-Bakovic, M., Martins-de-Souza, D., Lauc, G., et al. (2018). Blood plasma/IgG N-glycome biosignatures associated with major depressive disorder symptom severity and the antidepressant response. SCIENTIFIC REPORTS, 8: 179. doi:10.1038/s41598-017-17500-0.

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Blood plasma IgG N-glycome biosignatures_s41598-017-17500-0.pdf (Publisher version), 5MB
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Blood plasma IgG N-glycome biosignatures_s41598-017-17500-0.pdf
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 Creators:
Park, Dong Ik1, Author           
Stambuk, Jerko2, Author
Razdorov, Genadij2, Author
Pucic-Bakovic, Maja2, Author
Martins-de-Souza, Daniel2, Author
Lauc, Gordan2, Author
Turck, Christoph W.3, Author           
Affiliations:
1Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              
2external, ou_persistent22              
3RG Proteomics and Biomarkers, Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2040287              

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Free keywords: BODY-MASS INDEX; GENE-EXPRESSION; PSYCHIATRIC-DISORDERS; BIPOLAR DISORDER; DISEASE; GLYCOSYLATION; SCHIZOPHRENIA; METABOLISM; ACTIVATION; CYTOKINESScience & Technology - Other Topics;
 Abstract: While N-linked glycosylation has been extensively studied in the context of inflammatory and metabolic disorders, its relationship with major depressive disorder (MDD) and antidepressant treatment response has not been investigated. In our exploratory study, we analysed N-glycan profiles in blood plasma samples collected from MDD patients (n = 18) and found gender-dependent correlations with severity of depressive symptoms prior to initiating antidepressant treatment. In addition, several N-glycosylation traits showed gender-dependent associations with clinical antidepressant response. Follow up proteomics analysis in peripheral blood mononuclear cells (PBMCs) collected from MDD patients (n = 20) identified baseline and post-antidepressant treatment pathway differences between responder and non-responder patients. Reactome data analysis further delineated potential biological reaction differences between responder and non-responder patients. Our preliminary results suggest that specific glycosylation traits are associated with depressive symptom severity and antidepressant response and may be of use as biomarkers.

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: 11
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Title: SCIENTIFIC REPORTS
Source Genre: Journal
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Publ. Info: MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 8 Sequence Number: 179 Start / End Page: - Identifier: ISSN: 2045-2322