Cargando…

How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach

Depression is the single largest contributor to non-fatal health loss and affects 322 million people globally. The clinical heterogeneity of this disorder shows biological correlates and it makes the personalization of antidepressant prescription an important pillar of treatment. There is increasing...

Descripción completa

Detalles Bibliográficos
Autores principales: Fabbri, Chiara, Serretti, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609216/
https://www.ncbi.nlm.nih.gov/pubmed/33124583
http://dx.doi.org/10.9758/cpn.2020.18.4.484
_version_ 1783604982810935296
author Fabbri, Chiara
Serretti, Alessandro
author_facet Fabbri, Chiara
Serretti, Alessandro
author_sort Fabbri, Chiara
collection PubMed
description Depression is the single largest contributor to non-fatal health loss and affects 322 million people globally. The clinical heterogeneity of this disorder shows biological correlates and it makes the personalization of antidepressant prescription an important pillar of treatment. There is increasing evidence of genetic overlap between depression, other psychiatric and non-psychiatric disorders, which varies across depression subtypes. Therefore, the first step of clinical evaluation should include a careful assessment of psychopathology and physical health, not limited to previously diagnosed disorders. In part of the patients indeed the pathogenesis of depression may be strictly linked to inflammatory and metabolic abnormalities, and the treatment should target these as much as the depressive symptoms themselves. When the evaluation of the symptom and drug tolerability profile, the concomitant biochemical abnormalities and physical conditions is not enough and at least one pharmacotherapy failed, the genotyping of variants in CYP2D6/CYP2C19 (cytochromes responsible for antidepressant metabolism) should be considered. Individuals with altered metabolism through one of these enzymes may benefit from some antidepressants rather than others or need dose adjustments. Finally, if available, the polygenic predisposition towards cardio-metabolic disorders can be integrated with non-genetic risk factors to tune the identification of patients who should avoid medications associated with this type of side effects. A sufficient knowledge of the polygenic risk of complex medical and psychiatric conditions is becoming relevant as this information can be obtained through direct-to-consumer genetic tests and in the future it may provided by national health care systems.
format Online
Article
Text
id pubmed-7609216
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Korean College of Neuropsychopharmacology
record_format MEDLINE/PubMed
spelling pubmed-76092162020-11-30 How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach Fabbri, Chiara Serretti, Alessandro Clin Psychopharmacol Neurosci Review Depression is the single largest contributor to non-fatal health loss and affects 322 million people globally. The clinical heterogeneity of this disorder shows biological correlates and it makes the personalization of antidepressant prescription an important pillar of treatment. There is increasing evidence of genetic overlap between depression, other psychiatric and non-psychiatric disorders, which varies across depression subtypes. Therefore, the first step of clinical evaluation should include a careful assessment of psychopathology and physical health, not limited to previously diagnosed disorders. In part of the patients indeed the pathogenesis of depression may be strictly linked to inflammatory and metabolic abnormalities, and the treatment should target these as much as the depressive symptoms themselves. When the evaluation of the symptom and drug tolerability profile, the concomitant biochemical abnormalities and physical conditions is not enough and at least one pharmacotherapy failed, the genotyping of variants in CYP2D6/CYP2C19 (cytochromes responsible for antidepressant metabolism) should be considered. Individuals with altered metabolism through one of these enzymes may benefit from some antidepressants rather than others or need dose adjustments. Finally, if available, the polygenic predisposition towards cardio-metabolic disorders can be integrated with non-genetic risk factors to tune the identification of patients who should avoid medications associated with this type of side effects. A sufficient knowledge of the polygenic risk of complex medical and psychiatric conditions is becoming relevant as this information can be obtained through direct-to-consumer genetic tests and in the future it may provided by national health care systems. Korean College of Neuropsychopharmacology 2020-11-30 2020-11-30 /pmc/articles/PMC7609216/ /pubmed/33124583 http://dx.doi.org/10.9758/cpn.2020.18.4.484 Text en Copyright© 2020, Korean College of Neuropsychopharmacology This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Fabbri, Chiara
Serretti, Alessandro
How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title_full How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title_fullStr How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title_full_unstemmed How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title_short How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach
title_sort how to utilize clinical and genetic information for personalized treatment of major depressive disorder: step by step strategic approach
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609216/
https://www.ncbi.nlm.nih.gov/pubmed/33124583
http://dx.doi.org/10.9758/cpn.2020.18.4.484
work_keys_str_mv AT fabbrichiara howtoutilizeclinicalandgeneticinformationforpersonalizedtreatmentofmajordepressivedisorderstepbystepstrategicapproach
AT serrettialessandro howtoutilizeclinicalandgeneticinformationforpersonalizedtreatmentofmajordepressivedisorderstepbystepstrategicapproach