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Peripheral profiling analysis for bipolar disorder reveals markers associated with reduced cell survival
Author(s) -
Herberth Marlis,
Koethe Dagmar,
Levin Yishai,
Schwarz Emanuel,
Krzyszton Natalia D.,
Schoeffmann Stephanie,
Ruh Hermelindis,
Rahmoune Hassan,
Kranaster Laura,
Schoenborn Torsten,
Leweke Markus F.,
Guest Paul C.,
Bahn Sabine
Publication year - 2010
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201000291
Subject(s) - peripheral blood mononuclear cell , bipolar disorder , proteome , mania , proteomics , peripheral , biomarker , medicine , bioinformatics , biology , biochemistry , in vitro , lithium (medication) , gene
Little is known about the molecular factors that are altered in remitting bipolar disorder (BD) patients. We carried out proteome profiling of peripheral blood mononuclear cells (PBMCs) and serum from BD patients who were not experiencing mania or major depression (euthymia) compared to matched healthy controls using liquid chromatography–mass spectrometry (LC‐MS E ) and Multi‐Analyte Profiling (Human Map ® ) platforms. This resulted in the identification of approximately 60 differentially expressed molecules involved predominantly in cell death/survival pathways. In PBMCs, this was manifested in cytoskeletal and stress response‐associated proteins, whereas most serum analytes were associated with the inflammatory response. The predicted effect of serum analytes on physiological systems was tested by treating PBMCs with serum obtained from the same patients, resulting in reduced cellular survival. These preliminary results suggest that BD patients carry a peripheral fingerprint that has detrimental effects on cell function and that could be used to distinguish BD patients from healthy controls despite being in a remission phase. It is hoped that additional studies of BD patients in the manic and depressed stages could lead to the identification of a molecular fingerprint that could be used for predicting episodic switching and for guiding treatment strategies.