Literature DB >> 23154643

Novel biomarkers in major depression.

Barbara Schneider1, David Prvulovic.   

Abstract

PURPOSE OF REVIEW: This article reviews literature published over the period January 2011-June 2012 on biomarkers in major depression. RECENT
FINDINGS: Although a large body of research accumulated over the past decades points to distinct biological mechanisms being involved in the pathophysiology of major depressive disorder (MDD), its precise pathobiology is not yet fully understood. In the last 2 years, substantial new research has been generated in an attempt to identify and characterize novel candidate biomarkers for MDD. This review provides an update on biomarker research in MDD and summarizes the most recent results from neuroimaging, genetic, epigenetic, and neurochemical studies in MDD.
SUMMARY: Promising new findings report high diagnostic accuracy for metabonomic and epigenetic approaches as well as combinatorial functional neuroimaging approaches, which are currently representing the forefront of MDD biomarker development.

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Year:  2013        PMID: 23154643     DOI: 10.1097/YCO.0b013e32835a5947

Source DB:  PubMed          Journal:  Curr Opin Psychiatry        ISSN: 0951-7367            Impact factor:   4.741


  18 in total

1.  Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample.

Authors:  Benedikt Sundermann; Stephan Feder; Heike Wersching; Anja Teuber; Wolfram Schwindt; Harald Kugel; Walter Heindel; Volker Arolt; Klaus Berger; Bettina Pfleiderer
Journal:  J Neural Transm (Vienna)       Date:  2016-12-31       Impact factor: 3.575

2.  Biomarker Development for Brain-Based Disorders: Recent Progress in Psychiatry.

Authors:  James O Ebot Enaw; Alicia K Smith
Journal:  J Neurol Psychol       Date:  2013-11-01

3.  The Combination of Serum BDNF, Cortisol and IFN-Gamma Can Assist the Diagnosis of Major Depressive Disorder.

Authors:  Suzhen Chen; Yuqun Zhang; Yonggui Yuan
Journal:  Neuropsychiatr Dis Treat       Date:  2021-08-26       Impact factor: 2.570

Review 4.  Depression screening in patients with brain tumors: a review.

Authors:  Aiste Pranckeviciene; Adomas Bunevicius
Journal:  CNS Oncol       Date:  2015

5.  Anterior cingulate cortex choline levels in female adolescents with unipolar versus bipolar depression: a potential new tool for diagnosis.

Authors:  Xian-Feng Shi; Lauren N Forrest; M Danielle Kuykendall; Andrew P Prescot; Young-Hoon Sung; Rebekah S Huber; Tracy L Hellem; Eun-Kee Jeong; Perry F Renshaw; Douglas G Kondo
Journal:  J Affect Disord       Date:  2014-06-02       Impact factor: 4.839

6.  Heritability of subcortical and limbic brain volume and shape in multiplex-multigenerational families with schizophrenia.

Authors:  David R Roalf; Simon N Vandekar; Laura Almasy; Kosha Ruparel; Theodore D Satterthwaite; Mark A Elliott; Jamie Podell; Sean Gallagher; Chad T Jackson; Konasale Prasad; Joel Wood; Michael F Pogue-Geile; Vishwajit L Nimgaonkar; Ruben C Gur; Raquel E Gur
Journal:  Biol Psychiatry       Date:  2014-05-28       Impact factor: 13.382

Review 7.  Suggested Biomarkers for Major Depressive Disorder.

Authors:  Yunus Hacimusalar; Ertuğrul Eşel
Journal:  Noro Psikiyatr Ars       Date:  2018-05-28       Impact factor: 1.339

Review 8.  Risk assessment and predicting outcomes in patients with depressive symptoms: a review of potential role of peripheral blood based biomarkers.

Authors:  Bhautesh D Jani; Gary McLean; Barbara I Nicholl; Sarah J E Barry; Naveed Sattar; Frances S Mair; Jonathan Cavanagh
Journal:  Front Hum Neurosci       Date:  2015-02-02       Impact factor: 3.169

9.  Genome-wide study of key genes and scoring system as potential noninvasive biomarkers for detection of suicide behavior in major depression disorder.

Authors:  Yue Zhao; Lei Wang; Yajuan Wu; Ziquan Lu; Shuyou Zhang
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

10.  Quest for biomarkers of treatment-resistant depression: shifting the paradigm toward risk.

Authors:  Donald F Smith
Journal:  Front Psychiatry       Date:  2013-06-18       Impact factor: 4.157

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