Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression.
affective disorder
biomarker
bipolar disorder
blood
machine learning
major depression (MD)
major depressive disorder (MDD)
proteome
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2020
2020
Historique:
received:
06
12
2019
accepted:
26
02
2020
entrez:
7
5
2020
pubmed:
7
5
2020
medline:
7
5
2020
Statut:
epublish
Résumé
Affective disorders are a major global burden, with approximately 15% of people worldwide suffering from some form of affective disorder. In patients experiencing their first depressive episode, in most cases it cannot be distinguished whether this is due to bipolar disorder (BD) or major depressive disorder (MDD). Valid fluid biomarkers able to discriminate between the two disorders in a clinical setting are not yet available. Seventy depressed patients suffering from BD (bipolar I and II subtypes) and 42 patients with major MDD were recruited and blood samples were taken for proteomic analyses after 8 h fasting. Proteomic profiles were analyzed using the Multiplex Immunoassay platform from Myriad Rules Based Medicine (Myriad RBM; Austin, Texas, USA). Human DiscoveryMAP Based on the various proteomic profiles, the algorithm could discriminate depressed BD patients from MDD patients with an accuracy of 67%. The results of this preliminary study suggest that future discrimination between bipolar and unipolar depression in a single case could be possible, using predictive biomarker models based on blood proteomic profiling.
Identifiants
pubmed: 32372978
doi: 10.3389/fpsyt.2020.00189
pmc: PMC7184109
doi:
Types de publication
Journal Article
Langues
eng
Pagination
189Informations de copyright
Copyright © 2020 Kittel-Schneider, Hahn, Haenisch, McNeill, Reif and Bahn.
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