Modeling treatment-resistant depression
Autor: | Denis J. David, Eduardo David Leonardo, Erik H. F. Wong, Alain M. Gardier, Amanda J. Williams, Reto Gadient, René Hen, Benjamin Adam Samuels, Jin Zhou |
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Rok vydání: | 2011 |
Předmět: |
Predictive validity
medicine.medical_specialty Drug Resistance Drug resistance Article Cellular and Molecular Neuroscience Stress Physiological medicine Animals Humans Treatment resistance Psychiatry Serotonin Uptake Inhibitors Depression (differential diagnoses) Pharmacology Depressive Disorder Behavior Animal Depression medicine.disease Comorbidity Rats Disease Models Animal Receptor Serotonin 5-HT1A Construct (philosophy) Psychology Treatment-resistant depression Selective Serotonin Reuptake Inhibitors Stress Psychological Clinical psychology |
Zdroj: | Neuropharmacology. 61:408-413 |
ISSN: | 0028-3908 |
Popis: | Depression is a polygenic and highly complex psychiatric disorder that is currently a major burden on society. Depression is highly heterogeneous in presentation and frequently exhibits high co-morbidity with other psychiatric and somatic deficits. Commonly used treatments, such as selective serotonin reuptake inhibitors (SSRIs), are not ideal since only a subset of patients achieve remission. In addition, the reason why some individuals respond to SSRIs while others don’t are unknown. Here we begin to ask what the basis of treatment-resistance is, and propose new strategies to model this phenomenon in animals. We focus specifically on animal models that offer the appropriate framework to study treatment resistance with face, construct and predictive validity. |
Databáze: | OpenAIRE |
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