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Major depressive disorder and bistability in an HPA-CNS toggle switch
Ben Ron Mizrachi1, Avichai Tendler1, Omer Karin1
1Dept. Molecular Cell biology, Weizmann Institute of Science, Rehovot, Israel.
Plos Computational Biology
|December 6, 2023
Summary
This study introduces a new mathematical model for major depressive disorder (MDD) dynamics on a weekly timescale. It explains how prolonged stress can trigger persistent depressive episodes and why treatments take weeks to become effective.
Area of Science:
- Neuroscience
- Mathematical Biology
- Psychiatry
Background:
- Major depressive disorder (MDD) is a common, complex psychiatric disorder with treatments often showing delayed effects.
- The hypothalamic-pituitary-adrenal (HPA) axis and its dysregulation, involving cortisol, are strongly linked to MDD.
- Current mathematical models of the HPA axis operate on hourly timescales, insufficient for understanding MDD's weekly dynamics.
Purpose of the Study:
- To develop a novel mathematical model of MDD dynamics operating on a weekly timescale.
- To investigate the role of HPA axis hormone gland growth and CNS interactions in MDD.
- To explain the delayed onset of antidepressant effects and the persistence of depressive states.
Main Methods:
- Proposed a mathematical model incorporating HPA axis hormone gland growth on a weekly timescale.
- Included mutual inhibition between the HPA axis and central nervous system (CNS) regions, forming a toggle switch.
- Analyzed the model's bistability between euthymic and depressed states.
Main Results:
- The model demonstrates bistability between euthymic and depressed states with dynamics occurring over weeks.
- It explains how prolonged stress, but not acute stress, can initiate self-sustaining depressive episodes.
- The model accounts for the week-long therapeutic lag of antidepressant medications and HPA axis dysregulation via gland mass changes.
Conclusions:
- The developed model provides a new framework for understanding MDD dynamics on a weekly timescale.
- It elucidates the mechanisms behind stress-induced persistent depression and delayed treatment efficacy.
- This understanding may inform and guide the development of more effective MDD treatment strategies.
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