Literature DB >> 24554194

Search for peripheral biomarkers in patients affected by acutely psychotic bipolar disorder: a proteomic approach.

Laura Giusti1, Valentina Mantua, Ylenia Da Valle, Federica Ciregia, Tiziana Ventroni, Ginevra Orsolini, Elena Donadio, Gino Giannaccini, Mauro Mauri, Giovanni Battista Cassano, Antonio Lucacchini.   

Abstract

Data on neurobiological mechanisms underlying mood disorders are elusive; the aetiology of such states is multifactorial, including genetic predisposition and environmental factors. Diagnosis is currently being made only on an interview-based methodology. Biological markers, which could improve the current classification, and in perspective, stratify patients on a biological basis into more homogeneous clinically distinct subgroups, are highly needed. We describe here a comparative proteomic analysis of peripheral lymphocytes from patients affected by acute psychotic bipolar disorder (PBD) (n = 15), major depressive episode (MDE) with no personal or family history of psychosis (n = 11), and a group of demographically matched healthy controls (HC) (n = 15). All patients were evaluated by means of Structured Clinical Interview for DSM-IV-Patient version (SCID-I-P), Positive and Negative Symptoms Scale (PANSS), Young Mania Rating Scale (YMRS), Hamilton Anxiety Rating Scale (HAM-A) and Hamilton Depression Rating Scale (HAM-D-17) questionnaires. Blood lymphocytes were obtained by gradient separation, and 2-DE was carried out on protein extracts. Significant differences in protein patterns among the three groups were observed. Thirty-six protein spots were found to be differentially expressed in patients compared to controls, which collapsed into 25 different proteins after mass spectrometry identification. Twenty-one of these proteins failed to discriminate between PBD and MDE, suggesting common signatures for these disorders. Nevertheless, after the western blot validation only two of the remaining proteins, namely LIM and SH3 domain protein1, and short-chain specific acyl-CoA dehydrogenase mitochondrial protein, resulted in being significantly upregulated in PBD samples suggesting additional mechanisms that could be associated with the psychotic features of bipolar disorder.

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Year:  2014        PMID: 24554194     DOI: 10.1039/c4mb00068d

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  8 in total

1.  Blood-based biomarkers in depression: emerging themes in clinical research.

Authors:  Monica Uddin
Journal:  Mol Diagn Ther       Date:  2014-10       Impact factor: 4.074

2.  Proteomic Investigation of Malignant Major Salivary Gland Tumors.

Authors:  Veronica Seccia; Elena Navari; Elena Donadio; Claudia Boldrini; Federica Ciregia; Maurizio Ronci; Antonio Aceto; Iacopo Dallan; Antonio Lucacchini; Augusto Pietro Casani; Maria Rosa Mazzoni; Laura Giusti
Journal:  Head Neck Pathol       Date:  2019-05-16

Review 3.  Systematic Review and Meta-Analysis on MS-Based Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Bipolar Disorder.

Authors:  Joao E Rodrigues; Ana Martinho; Vítor Santos; Catia Santa; Nuno Madeira; Maria J Martins; Carlos N Pato; Antonio Macedo; Bruno Manadas
Journal:  Int J Mol Sci       Date:  2022-05-13       Impact factor: 6.208

Review 4.  Upstream Pathways Controlling Mitochondrial Function in Major Psychosis: A Focus on Bipolar Disorder.

Authors:  Alencar Kolinski Machado; Alexander Yongshuai Pan; Tatiane Morgana da Silva; Angela Duong; Ana Cristina Andreazza
Journal:  Can J Psychiatry       Date:  2016-05-09       Impact factor: 4.356

Review 5.  An update on the LIM and SH3 domain protein 1 (LASP1): a versatile structural, signaling, and biomarker protein.

Authors:  Martin F Orth; Alex Cazes; Elke Butt; Thomas G P Grunewald
Journal:  Oncotarget       Date:  2015-01-01

6.  The Nebulin Family LIM and SH3 Proteins Regulate Postsynaptic Development and Function.

Authors:  Kenneth R Myers; Kuai Yu; Joachim Kremerskothen; Elke Butt; James Q Zheng
Journal:  J Neurosci       Date:  2019-11-21       Impact factor: 6.709

7.  Bottom-up proteomics suggests an association between differential expression of mitochondrial proteins and chronic fatigue syndrome.

Authors:  F Ciregia; L Kollipara; L Giusti; R P Zahedi; C Giacomelli; M R Mazzoni; G Giannaccini; P Scarpellini; A Urbani; A Sickmann; A Lucacchini; L Bazzichi
Journal:  Transl Psychiatry       Date:  2016-09-27       Impact factor: 6.222

8.  Comparative proteomic analysis of malignant pleural mesothelioma: Focusing on the biphasic subtype.

Authors:  Laura Giusti; Federica Ciregia; Alessandra Bonotti; Ylenia Da Valle; Elena Donadio; Claudia Boldrini; Rudy Foddis; Gino Giannaccini; Maria R Mazzoni; Pier Aldo Canessa; Alfonso Cristaudo; Antonio Lucacchini
Journal:  EuPA Open Proteom       Date:  2016-01-16
  8 in total

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