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Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.

Author: CaspaniGiorgia, FosterJane A, FreyBenicio N, KennedySidney H, LamRaymond W, MacQueenGlenda M, MilevRoumen V, MüllerDaniel J, RotzingerSusan, SwannJonathan R, TureckiGustavo

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

This study explored the potential of metabolomics in personalized depression treatment. It found that LDL and HDL subfractions were negatively correlated with depression in males. Apolipoprotein A1 and HDL levels predicted escitalopram response in males, while apolipoprotein A2, HDL, and VLDL subfractions predicted aripiprazole response in females. These findings suggest that metabolomics may be useful for identifying tailored interventions for depression.
Paper Details　
Original Abstract of the Article :
One of the biggest challenges in treating depression is the heterogeneous and qualitative nature of its clinical presentations. This highlights the need to find quantitative molecular markers to tailor existing treatment strategies to the individual's biological system. In this study, high-resolutio...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298446/

データ提供：米国国立医学図書館（NLM）

Metabolomics and Depression: Unraveling the Chemical Landscape

The realm of [depression] is a complex and often misunderstood desert. This study, like a meticulous cartographer, delves into the chemical landscape of depression, utilizing [metabolomics] to identify potential biomarkers and predictors of treatment response. It aims to uncover the metabolic signatures associated with depression and to personalize treatment strategies based on an individual's unique biochemical profile.

Metabolic Fingerprints of Depression

The research reveals intriguing insights into the metabolic underpinnings of depression, identifying specific [metabolic signatures] associated with the condition. Like a hidden oasis revealing itself through unique geological formations, this study highlights the potential of [metabolomics] to shed light on the biological mechanisms underlying depression.

Personalized Approaches to Depression Treatment

This study emphasizes the need for personalized approaches to depression treatment. Like different camels navigating the desert in their own unique ways, individuals may respond differently to treatments based on their unique metabolic profiles. This research encourages the development of tailored treatments that consider the individual's biological makeup, leading to more effective and targeted interventions.

Dr.Camel's Conclusion

This study marks a significant step forward in our understanding of depression and its underlying biological mechanisms. It highlights the potential of [metabolomics] to revolutionize how we diagnose, treat, and manage depression, paving the way for a more personalized and effective approach to mental healthcare.

Date :
  1. Date Completed 2021-11-11
  2. Date Revised 2022-03-23
Further Info :

Pubmed ID

34294869

DOI: Digital Object Identifier

PMC8298446

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Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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