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Related Concept Videos

Proteomics01:33

Proteomics

7.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Depression: Overview01:18

Depression: Overview

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Related Experiment Video

Updated: May 27, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

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Characterizing metabolomic and proteomic changes in depression: a systematic analysis.

Juncai Pu1,2, Yiyun Liu2, Hailin Wu1,2

  • 1Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Molecular Psychiatry
|February 15, 2025
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Summary

This study identified robust metabolomic biomarkers for depression by analyzing large datasets. Key findings include consistent alterations in blood and urine metabolites, suggesting their potential for diagnosing depression.

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Area of Science:

  • Biochemistry
  • Neuroscience
  • Genomics

Background:

  • Depression research lacks consensus on reliable molecular biomarkers.
  • Metabolomics and proteomics offer insights into depression's molecular landscape.

Purpose of the Study:

  • To identify robust metabolomic and proteomic features in depression using a knowledge base-mining approach.
  • To integrate evidence from large-scale metabolomic and proteomic studies for robust findings.

Main Methods:

  • A knowledge base-mining approach was used to compile dysregulated molecules from metabolomic and proteomic studies.
  • Vote-counting analysis identified consistently altered molecules in blood and urine samples of patients with depression.

Main Results:

  • 11 blood metabolites and 5 urine metabolites showed consistent disturbances in depression.
  • Tryptophan, kynurenic acid, and acetylcarnitine were prioritized as top circulating metabolites.
  • Only one protein, ceruloplasmin, was consistently dysregulated in proteomic analysis.

Conclusions:

  • Metabolomic changes provide robust evidence for potential biomarkers in depression.
  • Further research is needed to identify consensus proteomic features for depression.