Literature DB >> 19396704

Schizophrenia: from the brain to peripheral markers. A consensus paper of the WFSBP task force on biological markers.

Gerald Stober1, Dorit Ben-Shachar, M Cardon, Peter Falkai, Alfred N Fonteh, Micha Gawlik, Birte Y Glenthoj, Edna Grunblatt, Assen Jablensky, Yong-Ku Kim, Johannes Kornhuber, Thomas F McNeil, Norbert Muller, Bob Oranje, Toshikazu Saito, Mohamed Saoud, Andrea Schmitt, Michal Schwartz, Johannes Thome, Marat Uzbekov, Nuria Durany, Peter Riederer.   

Abstract

Objective. The phenotypic complexity, together with the multifarious nature of the so-called "schizophrenic psychoses", limits our ability to form a simple and logical biologically based hypothesis for the disease group. Biological markers are defined as biochemical, physiological or anatomical traits that are specific to particular conditions. An important aim of biomarker discovery is the detection of disease correlates that can be used as diagnostic tools. Method. A selective review of the WFSBP Task Force on Biological Markers in schizophrenia is provided from the central nervous system to phenotypes, functional brain systems, chromosomal loci with potential genetic markers to the peripheral systems. Results. A number of biological measures have been proposed to be correlated with schizophrenia. At present, not a single biological trait in schizophrenia is available which achieves sufficient specificity, selectivity and is based on causal pathology and predictive validity to be recommended as diagnostic marker. Conclusions. With the emergence of new technologies and rigorous phenotypic subclassification the identification of genetic bases and assessment of dynamic disease related alterations will hopefully come to a new stage in the complex field of psychiatric research.

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Year:  2009        PMID: 19396704     DOI: 10.1080/15622970902898980

Source DB:  PubMed          Journal:  World J Biol Psychiatry        ISSN: 1562-2975            Impact factor:   4.132


  26 in total

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5.  Multiplatform metabolome and proteome profiling identifies serum metabolite and protein signatures as prospective biomarkers for schizophrenia.

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Authors:  Robert D Oades; Aye-Mu Myint; Maria R Dauvermann; Benno G Schimmelmann; Markus J Schwarz
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8.  The role of Pannexin gene variants in schizophrenia: systematic analysis of phenotypes.

Authors:  Micha Gawlik; Martin Wagner; Bruno Pfuhlmann; Gerald Stöber
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-07-30       Impact factor: 5.270

9.  New visual information processing abnormality biomarker for the diagnosis of Schizophrenia.

Authors:  Ivan Koychev; Wael El-Deredy; John Francis William Deakin
Journal:  Expert Opin Med Diagn       Date:  2011-07-01

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Journal:  Front Hum Neurosci       Date:  2013-08-07       Impact factor: 3.169

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