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Disease Markers
Volume 35 (2013), Issue 1, Pages 23–31
Review Article

Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?

Max Planck Institute of Psychiatry, Molecular Stress Physiology, Kraepelinstrasse 2-10, 80804 Munich, Germany

Received 1 April 2013; Accepted 19 April 2013

Academic Editor: Daniel Martins-de-Souza

Copyright © 2013 Christiana Labermaier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Daniel Martins-de-Souza, Giuseppina Maccarrone, Marcus Ising, Stefan Kloiber, Susanne Lucae, Florian Holsboer, and Christoph W. Turck, “Blood mononuclear cell proteome suggests Integrin and Ras signaling as critical pathways for antidepressant treatment response,” Biological Psychiatry, 2014. View at Publisher · View at Google Scholar
  • Mayuresh S. Korgaonkar, William Rekshan, Evian Gordon, A. John Rush, Leanne M. Williams, Christine Blasey, and Stuart M. Grieve, “Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder,” EBioMedicine, 2014. View at Publisher · View at Google Scholar
  • Georgia Balsevich, Christian Namendorf, Tamara Gerlach, Manfred Uhr, and Mathias V. Schmidt, “The bio-distribution of the antidepressant clomipramine is modulated by chronic stress in mice: effects on behavior,” Frontiers in Behavioral Neuroscience, vol. 8, 2015. View at Publisher · View at Google Scholar