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Treatment Response Biomarkers in Anxiety Disorders: From Neuroimaging to Neuronally-Derived Extracellular Vesicles and Beyond.
Strawn, Jeffrey R; Levine, Amir.
Afiliação
  • Strawn JR; Department of Psychiatry and Behavioral Neuroscience; Anxiety Disorders Research Program, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
  • Levine A; Department of Pediatrics, Division of Child & Adolescent Psychiatry and Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Artigo em Inglês | MEDLINE | ID: mdl-32974615
ABSTRACT
Multiple and diverse psychotherapeutic or psychopharmacologic treatments effectively reduce symptoms for many patients with anxiety disorders, but the trajectory and magnitude of response vary considerably. This heterogeneity of treatment response has invigorated the search for biomarkers of treatment response in anxiety disorders, across the lifespan. In this review, we summarize evidence for biomarkers of treatment response in children, adolescents and adults with generalized, separation and social anxiety disorders as well as panic disorder. We then discuss the relationship between these biomarkers of treatment response and the pathophysiology of anxiety disorders. Finally, we provide context for treatment response biomarkers of the future, including neuronally-derived extracellular vesicles in anxiety disorders and discuss challenges that must be overcome prior to the debut of treatment response biomarkers in the clinic. A number of promising treatment response biomarkers have been identified, although there is an urgent need to replicate findings and to identify which biomarkers might guide clinicians in selecting from available treatments rather than just simply identifying patients who may be less likely to respond to a given intervention.
Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Artigo