Precision Psychiatry: Biomarker-Guided Tailored Therapy for Effective Treatment and Prevention in Major Depression
- PMID: 33834417
- DOI: 10.1007/978-981-33-6044-0_27
Precision Psychiatry: Biomarker-Guided Tailored Therapy for Effective Treatment and Prevention in Major Depression
Abstract
Depression contributes greatly to global disability and is a leading cause of suicide. It has multiple etiologies and therefore response to treatment can vary significantly. By applying the concepts of personalized medicine, precision psychiatry attempts to optimize psychiatric patient care by better predicting which individuals will develop an illness, by giving a more accurate biologically based diagnosis, and by utilizing more effective treatments based on an individual's biological characteristics (biomarkers). In this chapter, we discuss the basic principles underlying the role of biomarkers in psychiatric pathology and then explore multiple biomarkers that are specific to depression. These include endophenotypes, gene variants/polymorphisms, epigenetic factors such as methylation, biochemical measures, circadian rhythm dysregulation, and neuroimaging findings. We also examine the role of early childhood trauma in the development of, and treatment response to, depression. In addition, we review how new developments in technology may play a greater role in the determination of new biomarkers for depression.
Keywords: Biomarkers; Depression; Endophenotypes; Epigenetics; Genetics; Neuroimaging; Precision psychiatry.
References
-
- Depression and Other Common Mental Disorders: Global Health Estimates. Geneva: World Health Organization (2017). License: CC BY-NC-SA 3.0 IGO
-
- WHO. [Internet]. Geneva (2020) Fact sheet/depression [revised 30 January 2020, cited 12 April 2020]. Available from: https://www.who.int/news-room/fact-sheets/detail/depression
-
- GBD (2018) 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392(10159):1789–1858. Erratum: Lancet. 2019;393(10190):e44 - DOI
-
- Wang J, Wu X, Lai W, Lai W, Long E, Zhang X, Li W et al (2017) Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis. BMJ Open 7(8):e017173. https://doi.org/10.1136/bmjopen-2017-017173. - DOI - PubMed - PMC
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