Literature DB >> 25173695

Applications of blood-based protein biomarker strategies in the study of psychiatric disorders.

Man K Chan1, Michael G Gottschalk1, Frieder Haenisch1, Jakub Tomasik2, Tillmann Ruland3, Hassan Rahmoune1, Paul C Guest1, Sabine Bahn4.   

Abstract

Major psychiatric disorders such as schizophrenia, major depressive and bipolar disorders are severe, chronic and debilitating, and are associated with high disease burden and healthcare costs. Currently, diagnoses of these disorders rely on interview-based assessments of subjective self-reported symptoms. Early diagnosis is difficult, misdiagnosis is a frequent occurrence and there are no objective tests that aid in the prediction of individual responses to treatment. Consequently, validated biomarkers are urgently needed to help address these unmet clinical needs. Historically, psychiatric disorders are viewed as brain disorders and consequently only a few researchers have as yet evaluated systemic changes in psychiatric patients. However, promising research has begun to challenge this concept and there is an increasing awareness that disease-related changes can be traced in the peripheral system which may even be involved in the precipitation of disease onset and course. Converging evidence from molecular profiling analysis of blood serum/plasma have revealed robust molecular changes in psychiatric patients, suggesting that these disorders may be detectable in other systems of the body such as the circulating blood. In this review, we discuss the current clinical needs in psychiatry, highlight the importance of biomarkers in the field, and review a representative selection of biomarker studies to highlight opportunities for the implementation of personalized medicine approaches in the field of psychiatry. It is anticipated that the implementation of validated biomarker tests will not only improve the diagnosis and more effective treatment of psychiatric patients, but also improve prognosis and disease outcome.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Bipolar disorder; Blood; Major depressive disorder; Personalized medicine; Schizophrenia

Mesh:

Substances:

Year:  2014        PMID: 25173695     DOI: 10.1016/j.pneurobio.2014.08.002

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  25 in total

1.  Exon Array Biomarkers for the Differential Diagnosis of Schizophrenia and Bipolar Disorder.

Authors:  Marquis Philip Vawter; Robert Philibert; Brandi Rollins; Patricia L Ruppel; Terry W Osborn
Journal:  Mol Neuropsychiatry       Date:  2018-04-10

Review 2.  Predictive analytics in mental health: applications, guidelines, challenges and perspectives.

Authors:  T Hahn; A A Nierenberg; S Whitfield-Gabrieli
Journal:  Mol Psychiatry       Date:  2016-11-15       Impact factor: 15.992

Review 3.  Biomarkers in schizophrenia: A focus on blood based diagnostics and theranostics.

Authors:  Chi-Yu Lai; Elizabeth Scarr; Madhara Udawela; Ian Everall; Wei J Chen; Brian Dean
Journal:  World J Psychiatry       Date:  2016-03-22

4.  Molecular serum signature of treatment resistant depression.

Authors:  Tillmann Ruland; Man K Chan; Pawel Stocki; Laura Grosse; Matthias Rothermundt; Jason D Cooper; Volker Arolt; Sabine Bahn
Journal:  Psychopharmacology (Berl)       Date:  2016-06-20       Impact factor: 4.530

Review 5.  Converging models of schizophrenia--Network alterations of prefrontal cortex underlying cognitive impairments.

Authors:  Takeshi Sakurai; Nao J Gamo; Takatoshi Hikida; Sun-Hong Kim; Toshiya Murai; Toshifumi Tomoda; Akira Sawa
Journal:  Prog Neurobiol       Date:  2015-09-25       Impact factor: 11.685

Review 6.  The promise of biomarkers in diagnosing major depression in primary care: the present and future.

Authors:  Eva E Redei; Neha S Mehta
Journal:  Curr Psychiatry Rep       Date:  2015-08       Impact factor: 5.285

7.  Charting the proteome landscape in major psychiatric disorders: From biomarkers to biological pathways towards drug discovery.

Authors:  Brisa S Fernandes; Yulin Dai; Peilin Jia; Zhongming Zhao
Journal:  Eur Neuropsychopharmacol       Date:  2022-06-25       Impact factor: 5.415

8.  Sampling blood from the lateral tail vein of the rat.

Authors:  Graham Lee; Ki A Goosens
Journal:  J Vis Exp       Date:  2015-05-18       Impact factor: 1.355

9.  Sex Differences in Serum Markers of Major Depressive Disorder in the Netherlands Study of Depression and Anxiety (NESDA).

Authors:  Jordan M Ramsey; Jason D Cooper; Mariska Bot; Paul C Guest; Femke Lamers; Cynthia S Weickert; Brenda W J H Penninx; Sabine Bahn
Journal:  PLoS One       Date:  2016-05-27       Impact factor: 3.240

10.  An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data.

Authors:  Peng-Fei Ke; Dong-Sheng Xiong; Jia-Hui Li; Zhi-Lin Pan; Jing Zhou; Shi-Jia Li; Jie Song; Xiao-Yi Chen; Gui-Xiang Li; Jun Chen; Xiao-Bo Li; Yu-Ping Ning; Feng-Chun Wu; Kai Wu
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

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