Obtaining novel data-driven hypotheses from teaching activities: An example assessing the role of the FKBP5 gene in

Heather Strelevitz1,2, Alireza A Dehaqani1,2,3, Luigi Balasco1,2

  • 1Master in Cognitive Sciences, Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Trento, Italy.

Insights

Major depressive disorder (MDD) treatments are suboptimal. The FKBP5 gene, linked to immunoregulation and stress, may unite MDD hypotheses and offer new therapeutic targets.

Area of Science:

  • Neuroscience
  • Genetics
  • Psychiatry

Background:

  • Major depressive disorder (MDD) affects millions, yet current treatments remain unpredictable and often ineffective for many patients.
  • A deeper understanding of MDD's underlying biological mechanisms is crucial for developing improved therapeutic strategies.
  • Student-led data collection and analysis projects can yield novel, data-driven hypotheses in cognitive science research.

Discussion:

  • The FKBP5 gene emerged as a significant factor connecting stress response and immune system dysregulation in MDD.
  • FKBP5 plays a role in glucocorticoid function and immunoregulation, both implicated in MDD pathogenesis and treatment outcomes.
  • Gene expression data from multiple species (human, primate, mouse) indicate FKBP5 is present in brain regions relevant to MDD.

Key Insights:

  • FKBP5 expression is notably high in brain areas associated with MDD, particularly during developmental periods sensitive to early-life stress.
  • Re-analysis of existing studies confirms FKBP5 upregulation in the brain for both human MDD patients and preclinical models.
  • The FKBP5 gene represents a potential unifying factor for distinct hypotheses regarding MDD development and response to treatment.

Outlook:

  • Further investigation into FKBP5's role could reveal new therapeutic targets for MDD.
  • Understanding FKBP5 regulation may lead to more predictable and effective antidepressant treatments.
  • This study highlights the value of integrating educational data collection with scientific discovery.