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Gender Differences in Developing Biomarker-Based Major Depressive Disorder Diagnostics.

Mike C Jentsch1,2, Huibert Burger3, Marjolein B M Meddens1

  • 1Brainscan BV, 7418 AH Deventer, The Netherlands.

International Journal of Molecular Sciences
|April 30, 2020
PubMed
Summary

Gender differences in biomarker levels impact major depressive disorder (MDD) classification. Stratifying by gender improved diagnostic accuracy, suggesting personalized biomarker panels for MDD are crucial for objective testing.

Keywords:
ELISAbio depression scorebiomarker paneldiagnostic methodsgendermajor depressive disorderquantile-based prediction

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Area of Science:

  • Biomarker discovery and validation
  • Neuroscience and psychiatric research
  • Translational medicine

Background:

  • Major depressive disorder (MDD) diagnosis lacks objective biomarkers.
  • Current biomarkers have limited discriminative power.
  • The influence of gender on biomarker profiles for MDD is understudied.

Purpose of the Study:

  • To investigate gender differences in biomarker levels for MDD.
  • To evaluate the impact of gender stratification on MDD classification using biomarkers.
  • To identify potential gender-specific biomarkers for MDD.

Main Methods:

  • Cross-sectional study analyzing 28 biomarkers.
  • Statistical analysis of gender differences in biomarker levels.
  • Application of a novel statistical approach for gender-stratified MDD classification.
  • Calculation of Area Under Curve (AUC) for diagnostic performance.

Main Results:

  • Significant gender differences observed in 21 out of 28 biomarkers.
  • Gender-stratified analysis identified 11 biomarkers in men and 8 in women.
  • AUC increased for gender-stratified models (men: 0.806, women: 0.807) compared to non-stratified (0.739).
  • Three biomarkers were found to be active in both genders.

Conclusions:

  • Biomarker levels significantly differ between genders in MDD.
  • Accounting for gender in biomarker analysis improves MDD classification accuracy.
  • Gender-specific biomarker panels may enhance objective MDD diagnosis.
  • Future research should consider gender as a critical factor in biomarker studies for MDD.