Preprint / Version 1

The Personalization of Major Depressive Disorder treatment using heterogeneity of depression

##article.authors##

  • Grace Peng The Gwinnett School of Mathematics, Science, and Technology

DOI:

https://doi.org/10.58445/rars.991

Keywords:

Major Depressive Disorder, Treatment, Biomarkers, Risk Factors

Abstract

There have been trends of increased prevalence of depression disorders worldwide, namely after the COVID-19 pandemic. Major Depressive Disorder (MDD) is the one of the most common mental health conditions in the world, as it affects 3.8% of the global population; however, the condition often generalizes the complex manifestation of symptoms of the disorder, which creates a broad definition and diagnosis of MDD. There are various causes and symptoms that are influenced by genetics, the environment, and development. It is important to create more precise diagnosis in order to better treat depression patients and accommodate their specific needs. SSRI antidepressants are commonly the first prescribed treatment for depression, but they often do not encompass the heterogeneity of depression. By analyzing combinations of biomarkers, risk factors, and treatments of depression, potential directions can be approached to identify paths to make treatment more personalized.

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2024-02-24

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