Literature DB >> 22158016

Assessment of a multi-assay, serum-based biological diagnostic test for major depressive disorder: a pilot and replication study.

G I Papakostas1, R C Shelton, G Kinrys, M E Henry, B R Bakow, S H Lipkin, B Pi, L Thurmond, J A Bilello.   

Abstract

Despite decades of intensive research, the development of a diagnostic test for major depressive disorder (MDD) had proven to be a formidable and elusive task, with all individual marker-based approaches yielding insufficient sensitivity and specificity for clinical use. In the present work, we examined the diagnostic performance of a multi-assay, serum-based test in two independent samples of patients with MDD. Serum levels of nine biomarkers (alpha1 antitrypsin, apolipoprotein CIII, brain-derived neurotrophic factor, cortisol, epidermal growth factor, myeloperoxidase, prolactin, resistin and soluble tumor necrosis factor alpha receptor type II) in peripheral blood were measured in two samples of MDD patients, and one of the non-depressed control subjects. Biomarkers measured were agreed upon a priori, and were selected on the basis of previous exploratory analyses in separate patient/control samples. Individual assay values were combined mathematically to yield an MDDScore. A 'positive' test, (consistent with the presence of MDD) was defined as an MDDScore of 50 or greater. For the Pilot Study, 36 MDD patients were recruited along with 43 non-depressed subjects. In this sample, the test demonstrated a sensitivity and specificity of 91.7% and 81.3%, respectively, in differentiating between the two groups. The Replication Study involved 34 MDD subjects, and yielded nearly identical sensitivity and specificity (91.1% and 81%, respectively). The results of the present study suggest that this test can differentiate MDD subjects from non-depressed controls with adequate sensitivity and specificity. Further research is needed to confirm the performance of the test across various age and ethnic groups, and in different clinical settings.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22158016     DOI: 10.1038/mp.2011.166

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  63 in total

Review 1.  The Bidirectional Relationship of Depression and Inflammation: Double Trouble.

Authors:  Eléonore Beurel; Marisa Toups; Charles B Nemeroff
Journal:  Neuron       Date:  2020-06-17       Impact factor: 17.173

Review 2.  Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders.

Authors:  Pierre Marquet; Christian Depeursinge; Pierre J Magistretti
Journal:  Neurophotonics       Date:  2014-09-22       Impact factor: 3.593

3.  An instant diagnosis for depression by blood test.

Authors:  Rohit Kumar Verma; Satpal Kaur; Sheba Rani David
Journal:  J Clin Diagn Res       Date:  2012-11

4.  Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation.

Authors:  Shusuke Numata; Kazuo Ishii; Atsushi Tajima; Jun-ichi Iga; Makoto Kinoshita; Shinya Watanabe; Hidehiro Umehara; Manabu Fuchikami; Satoshi Okada; Shuken Boku; Akitoyo Hishimoto; Shinji Shimodera; Issei Imoto; Shigeru Morinobu; Tetsuro Ohmori
Journal:  Epigenetics       Date:  2015-01-14       Impact factor: 4.528

Review 5.  Developing biomarkers in mood disorders research through the use of rapid-acting antidepressants.

Authors:  Mark J Niciu; Daniel C Mathews; Allison C Nugent; Dawn F Ionescu; Maura L Furey; Erica M Richards; Rodrigo Machado-Vieira; Carlos A Zarate
Journal:  Depress Anxiety       Date:  2013-12-18       Impact factor: 6.505

6.  Imaging the pathophysiology of major depressive disorder - from localist models to circuit-based analysis.

Authors:  Michael T Treadway; Diego A Pizzagalli
Journal:  Biol Mood Anxiety Disord       Date:  2014-03-07

Review 7.  Personalized medicine in major depressive disorder -- opportunities and pitfalls.

Authors:  Diane B Miller; James P O'Callaghan
Journal:  Metabolism       Date:  2012-09-26       Impact factor: 8.694

8.  The diagnosis of depression: current and emerging methods.

Authors:  Katie M Smith; Perry F Renshaw; John Bilello
Journal:  Compr Psychiatry       Date:  2012-08-15       Impact factor: 3.735

Review 9.  Blood-based biomarkers predicting response to antidepressants.

Authors:  Yasmin Busch; Andreas Menke
Journal:  J Neural Transm (Vienna)       Date:  2018-01-27       Impact factor: 3.575

10.  No influence of brain-derived neurotrophic factor (BDNF) polymorphisms on treatment response in a naturalistic sample of patients with major depression.

Authors:  Richard Musil; Peter Zill; Florian Seemüller; Brigitta Bondy; Michael Obermeier; Ilja Spellmann; Wolfram Bender; Mazda Adli; Isabella Heuser; Joachim Zeiler; Wolfgang Gaebel; Wolfgang Maier; Marcella Rietschel; Dan Rujescu; Rebecca Schennach; Hans-Jürgen Möller; Michael Riedel
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2012-09-11       Impact factor: 5.270

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.