Flávio Kapczinski
Hospital de Clínicas de Porto Alegre
João Quevedo
Universidade do Extremo Sul Catarinense
Consuelo Walss‐Bass
The University of Texas Health Science Center at Houston
Laura Stertz
The University of Texas Health Science Center at Houston
Jair C. Soares
The University of Texas Health Science Center at Houston
Samira S. Valvassori
Universidade do Extremo Sul Catarinense
Keila Maria Mendes Ceresér
Universidade Federal do Rio Grande do Sul
Bianca Pfaffenseller
McMaster University
Márcia Kauer-Sant’Anna
Universidade Federal do Rio Grande do Sul
Clarissa Severino Gama
Hospital de Clínicas de Porto Alegre
Universidade Federal do Rio Grande do Sul
The University of Texas Health Science Center at Houston
Hospital de Clínicas de Porto Alegre
Universidade do Extremo Sul Catarinense
University of Toronto
Baylor College of Medicine
Pontifícia Universidade Católica do Rio Grande do Sul
National Council for Scientific and Technological Development
Icahn School of Medicine at Mount Sinai
Universidade Federal do Rio Grande
The book highlights important aspects of Molecular Psychiatry, including molecular mechanisms, animal models, biomarkers, advanced methods, drugs and antidepressant response, as well as genetics and epigenetics. Molecular mechanisms are a vital part of the search for the biological basis of psychiatric disorders, providing molecular hints that can later be tested as biomarkers or targets for drug development. Animal models represent a commonly used approach to aid in this bench-to-bed translation; the examples here are social defeat stress and the Roman High-Avoidance (RHA) and the Roman Low-Avoidance (RLA) rats. For biomarkers, psychiatric disorders pose a particular challenge due to the tissue specificity of many currently investigated biomarkers; i.e., not all blood-based measures directly represent changes in the brain. The Ebook includes five articles focused on the challenges of identifying clinically and biologically relevant biomarkers for psychiatric disorders.
Scientific progress typically is fostered by the development of new methods. The application of machine learning methods for the proper analysis of Big Data and induced pluripotent stem cells are examples outlined in this Ebook. Furthermore, three articles are devoted to the understanding of the mechanisms of actions of existing drugs with the ultimate goal of identifying ways to predict treatment response in patients. Finally, three articles deepen the insight into the genetics and epigenetics of psychiatric disorders.