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- Title
Network Identification of Hormonal Regulation.
- Authors
Vis, Daniel J.; Westerhuis, Johan A.; Hoefsloot, Huub C. J.; Roelfsema, Ferdinand; van der Greef, Jan; Hendriks, Margriet M. W. B.; Smilde, Age K.
- Abstract
Relations among hormone serum concentrations are complex and depend on various factors, including gender, age, body mass index, diurnal rhythms and secretion stochastics. Therefore, endocrine deviations from healthy homeostasis are not easily detected or understood. A generic method is presented for detecting regulatory relations between hormones. This is demonstrated with a cohort of obese women, who underwent blood sampling at 10 minute intervals for 24-hours. The cohort was treated with bromocriptine in an attempt to clarify how hormone relations change by treatment. The detected regulatory relations are summarized in a network graph and treatment-induced changes in the relations are determined. The proposed method identifies many relations, including well-known ones. Ultimately, the method provides ways to improve the description and understanding of normal hormonal relations and deviations caused by disease or treatment.
- Subjects
HORMONE regulation; SERUM; BODY mass index; CIRCADIAN rhythms; SECRETION; AGE differences; GENDER differences (Psychology)
- Publication
PLoS ONE, 2014, Vol 9, Issue 5, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0096284