Lost in translation. The quest for definitions of treatment-resistant depression with a focus on inflammation-related

Luca Sforzini1

  • 1King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, London, UK.

Insights

Treatment-resistant depression (TRD) affects one-third of major depressive disorder (MDD) patients. Defining TRD requires understanding biological markers like inflammation, crucial for developing targeted therapies.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Major depressive disorder (MDD) affects a significant portion of the population.
  • Approximately one-third of MDD patients exhibit non-response to standard antidepressant treatments, a condition known as treatment-resistant depression (TRD).
  • Current definitions and understanding of TRD lack comprehensive clinical and operational criteria.

Purpose of the Study:

  • To provide an overview of the current clinical and operational criteria for defining treatment-resistant depression (TRD).
  • To highlight knowledge gaps and open questions in TRD research.
  • To emphasize the need for biological and molecular correlates in defining TRD.

Main Methods:

  • Literature review and synthesis of existing clinical and operational definitions of TRD.
  • Analysis of current research on biological and molecular correlates of antidepressant non-response.
  • Exploration of potential biomarkers, including inflammation-related gene expression signatures.

Main Results:

  • Existing definitions of TRD are insufficient and require refinement.
  • Inflammation-related gene expression signatures show promise as potential biomarkers for TRD.
  • A significant gap exists in understanding the biological underpinnings of non-response to depression treatments.

Conclusions:

  • A refined definition of TRD is essential for advancing research and clinical practice.
  • Incorporating biological and molecular data, such as inflammation markers, is critical for a more accurate TRD characterization.
  • Identifying biologically distinct MDD phenotypes could lead to more effective, targeted treatments.

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