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Author Spotlight: Hypothalamic Neural Mechanism Insights
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Network identification of hormonal regulation
Daniel J Vis1, Johan A Westerhuis2, Huub C J Hoefsloot2
1Department of Metabolic and Endocrine Diseases, University Medical Center Utrecht, Utrecht, The Netherlands; Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands; Netherlands Metabolomics Centre, Leiden, The Netherlands.
Plos One
|May 24, 2014
Summary
This study introduces a new method to map complex hormone interactions, aiding in understanding endocrine health and disease. The approach reveals how hormone relationships change with obesity and bromocriptine treatment.
Area of Science:
- Endocrinology
- Systems Biology
- Computational Biology
Background:
- Hormone serum concentrations are complex, influenced by factors like age, BMI, and diurnal rhythms.
- Endocrine deviations from homeostasis are challenging to detect and understand due to these complexities.
Purpose of the Study:
- To present a generic method for detecting regulatory relationships between hormones.
- To analyze how these hormone relationships change in obese women undergoing bromocriptine treatment.
Main Methods:
- A cohort of obese women underwent blood sampling every 10 minutes for 24 hours.
- A novel method was applied to detect regulatory relations among hormone concentrations.
- Detected relations were visualized in a network graph to assess treatment-induced changes.
Main Results:
- The method successfully identified numerous regulatory hormone relations, including known ones.
- Significant changes in hormone relations were observed following bromocriptine treatment.
- The study provides a network-based approach to endocrine system analysis.
Conclusions:
- The proposed method enhances the understanding of normal hormonal interplays.
- It offers insights into endocrine system alterations in disease and during pharmacological intervention.
- This approach can improve the detection and comprehension of endocrine dysregulation.
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