Glucocorticoid dysregulations and their clinical correlates. From receptors to therapeutics

Andrea H Marques1, Marni N Silverman, Esther M Sternberg

  • 1Section on Neuroendocrine Immunology and Behavior, Integrative Neural Immune Program, National Institute of Mental Health, National Institutes of Health, Rockville, Maryland, USA.

Insights

High-dose glucocorticoid treatment can cause serious side effects due to individual variability. Understanding glucocorticoid receptor function and hypothalamic-pituitary-adrenal (HPA) axis regulation helps identify at-risk patients for side effect prevention.

Area of Science:

  • Endocrinology
  • Neuroscience
  • Pharmacology

Background:

  • High-dose glucocorticoids cause significant side effects like metabolic syndrome, bone loss, and mood disturbances.
  • Individual variability in side effect severity and manifestation remains poorly understood.
  • Emerging research suggests molecular and physiological mechanisms underlying these variations.

Purpose of the Study:

  • To review the fundamental biology of glucocorticoid release and receptor function.
  • To explore how dysregulation in glucocorticoid action contributes to adverse effects.
  • To discuss factors influencing individual sensitivity to glucocorticoid treatment.

Main Methods:

  • Review of basic glucocorticoid biology and molecular mechanisms.
  • Analysis of factors regulating hypothalamic-pituitary-adrenal (HPA) axis responsiveness.
  • Examination of the role of sex hormones and immune system activity (cytokines) in HPA axis function and mood.

Main Results:

  • Glucocorticoid receptor polymorphisms may lead to receptor hypofunction or hyperfunction, influencing treatment sensitivity.
  • HPA axis responsiveness is modulated by factors including sex hormones and immune cytokines.
  • Cytokines can activate the HPA axis, alter brain function, and induce sickness behaviors overlapping with depressive symptoms.

Conclusions:

  • Understanding glucocorticoid action, HPA axis regulation, and influencing factors is crucial for predicting and preventing side effects.
  • A proposed framework utilizes biomarkers to identify patients at risk for depression associated with glucocorticoid therapy.
  • Early identification and intervention can mitigate potentially life-threatening glucocorticoid-induced side effects.

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