Metabolic, hormonal and stress-related molecular changes in post-mortem pituitary glands from schizophrenia subjects

Abstract Objectives. To identify a molecular profile for schizophrenia using post-mortem pituitaries from schizophrenia and control subjects. Methods. Molecular profiling analysis of pituitaries from schizophrenia (n = 14) and control (n = 15) subjects was carried out using a combination of liquid c...

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Published inThe world journal of biological psychiatry Vol. 14; no. 7; pp. 478 - 489
Main Authors Krishnamurthy, Divya, Harris, Laura W., Levin, Yishai, Koutroukides, Theodoros A., Rahmoune, Hassan, Pietsch, Sandra, Vanattou-Saifoudine, Natacha, Leweke, F. Markus, Guest, Paul C., Bahn, Sabine
Format Journal Article
LanguageEnglish
Published England Informa Healthcare 01.09.2013
Taylor & Francis
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Summary:Abstract Objectives. To identify a molecular profile for schizophrenia using post-mortem pituitaries from schizophrenia and control subjects. Methods. Molecular profiling analysis of pituitaries from schizophrenia (n = 14) and control (n = 15) subjects was carried out using a combination of liquid chromatography tandem mass spectrometry (LC-MSE), multiplex analyte profiling (MAP), two-dimensional difference gel electrophoresis (2D-DIGE) and Western blot analysis. Results. This led to identification of differentially expressed molecules in schizophrenia patients including hypothalamic-pituitary-adrenal axis-associated constituents such as cortisol, pro-adrenocorticotropic hormone, arginine vasopressin precursor, agouti-related protein, growth hormone, prolactin and secretagogin, as well as molecules associated with lipid transport and metabolism such as apolipoproteins A1, A2, C3 and H. Altered levels of secretagogin in serum from a cohort of living first onset schizophrenia patients were also detected, suggesting disease association and illustrating the potential for translating some components of this molecular profile to serum-based assays. Conclusions. Future studies on the molecules identified here may lead to new insights into schizophrenia pathophysiology and pave the way for translation of novel diagnostics for use in a clinical setting.
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ISSN:1562-2975
1814-1412
1814-1412
DOI:10.3109/15622975.2011.601759