Literature DB >> 25731213

Biomarker approaches in major depressive disorder evaluated in the context of current hypotheses.

Mike C Jentsch1, Erin M Van Buel, Fokko J Bosker, Anatoliy V Gladkevich, Hans C Klein, Richard C Oude Voshaar, Eric G Ruhé, Uli L M Eisel, Robert A Schoevers.   

Abstract

Major depressive disorder is a heterogeneous disorder, mostly diagnosed on the basis of symptomatic criteria alone. It would be of great help when specific biomarkers for various subtypes and symptom clusters of depression become available to assist in diagnosis and subtyping of depression, and to enable monitoring and prognosis of treatment response. However, currently known biomarkers do not reach sufficient sensitivity and specificity, and often the relation to underlying pathophysiology is unclear. In this review, we evaluate various biomarker approaches in terms of scientific merit and clinical applicability. Finally, we discuss how combined biomarker approaches in both preclinical and clinical studies can help to make the connection between the clinical manifestations of depression and the underlying pathophysiology.

Entities:  

Keywords:  biomarkers; clinical research; genomics; major depressive disorder; neuro-imaging; preclinical research; proteomics

Mesh:

Substances:

Year:  2015        PMID: 25731213     DOI: 10.2217/bmm.14.114

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  20 in total

1.  Inherent vulnerabilities in monoaminergic pathways predict the emergence of depressive impairments in an animal model of chronic epilepsy.

Authors:  Jesús-Servando Medel-Matus; Don Shin; Raman Sankar; Andrey Mazarati
Journal:  Epilepsia       Date:  2017-06-09       Impact factor: 5.864

2.  Translational Identification of Transcriptional Signatures of Major Depression and Antidepressant Response.

Authors:  Mylène Hervé; Aurélie Bergon; Anne-Marie Le Guisquet; Samuel Leman; Julia-Lou Consoloni; Nicolas Fernandez-Nunez; Marie-Noëlle Lefebvre; Wissam El-Hage; Raoul Belzeaux; Catherine Belzung; El Chérif Ibrahim
Journal:  Front Mol Neurosci       Date:  2017-08-08       Impact factor: 5.639

3.  Circuits Regulating Pleasure and Happiness in Bipolar Disorder.

Authors:  Anton J M Loonen; Ralph W Kupka; Svetlana A Ivanova
Journal:  Front Neural Circuits       Date:  2017-05-22       Impact factor: 3.492

Review 4.  From Serotonin to Neuroplasticity: Evolvement of Theories for Major Depressive Disorder.

Authors:  Bangshan Liu; Jin Liu; Mi Wang; Yan Zhang; Lingjiang Li
Journal:  Front Cell Neurosci       Date:  2017-09-28       Impact factor: 5.505

5.  Novel candidate genes for ECT response prediction-a pilot study analyzing the DNA methylome of depressed patients receiving electroconvulsive therapy.

Authors:  Nicole Moschny; Tristan Zindler; Kirsten Jahn; Marie Dorda; Colin F Davenport; Lutz Wiehlmann; Hannah B Maier; Franziska Eberle; Stefan Bleich; Alexandra Neyazi; Helge Frieling
Journal:  Clin Epigenetics       Date:  2020-07-29       Impact factor: 6.551

6.  Toward a New Model of Understanding, Preventing, and Treating Adolescent Depression Focusing on Exhaustion and Stress.

Authors:  Toon van der Gronde; Leontien Los; Arnoud Herremans; Ronald Oosting; Rafaela Zorzanelli; Toine Pieters
Journal:  Front Psychiatry       Date:  2020-05-06       Impact factor: 4.157

7.  N-acetylcysteine as add-on to antidepressant medication in therapy refractory major depressive disorder patients with increased inflammatory activity: study protocol of a double-blind randomized placebo-controlled trial.

Authors:  Chenghao Yang; Fokko J Bosker; Jie Li; Robert A Schoevers
Journal:  BMC Psychiatry       Date:  2018-09-04       Impact factor: 3.630

Review 8.  The evolutionary old forebrain as site of action to develop new psychotropic drugs.

Authors:  Anton Jm Loonen; Svetlana A Ivanova
Journal:  J Psychopharmacol       Date:  2018-09-26       Impact factor: 4.153

9.  Automatic detection of major depressive disorder using electrodermal activity.

Authors:  Ah Young Kim; Eun Hye Jang; Seunghwan Kim; Kwan Woo Choi; Hong Jin Jeon; Han Young Yu; Sangwon Byun
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

10.  Cortical Excitability and Activation of TrkB Signaling During Rebound Slow Oscillations Are Critical for Rapid Antidepressant Responses.

Authors:  Samuel Kohtala; Wiebke Theilmann; Marko Rosenholm; Leena Penna; Gulsum Karabulut; Salla Uusitalo; Kaija Järventausta; Arvi Yli-Hankala; Ipek Yalcin; Nobuaki Matsui; Henna-Kaisa Wigren; Tomi Rantamäki
Journal:  Mol Neurobiol       Date:  2018-10-04       Impact factor: 5.590

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.