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Biomarkers of Depression: Potential Diagnostic Tools

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Abstract

Major depressive disorder (MDD) is a severe, chronic, and debilitating mental disorder, with complex biological dysfunctions and of polygenic origin. It is associated with frequent disability-adjusted life years (DALYs), increased suicide risk, decreased quality of life, significant health costs, and high disease burden. There are no biological tests that are able to objectively predict the diagnosis of MDD, and there are no validated biomarkers with high specificity and sensitivity that might facilitate early diagnosis and prevent misdiagnosis. Since MDD is so heterogeneous and associated with different clinical presentation and different clinical symptoms, the development of a single biomarker is highly unlikely. Therefore, there is an unmet need to search for the validated set of different biomarkers or the complex multi-marker panels that might be used to reliably and reproducibly predict and confirm the MDD diagnosis. Reliable panel or a set of biomarkers, when developed, will have a significant clinical use, to lead toward the personalized treatment strategies, and might reduce health costs, DALYs, and decrease disease burden.

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Perkovic, M.N., Erjavec, G.N., Strac, D.S., Pivac, N. (2018). Biomarkers of Depression: Potential Diagnostic Tools. In: Kim, YK. (eds) Understanding Depression. Springer, Singapore. https://doi.org/10.1007/978-981-10-6577-4_3

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