Network identification of hormonal regulation

Daniel J. Vis, Johan A. Westerhuis, Huub C.J. Hoefsloot, Ferdinand Roelfsema, Jan Van Der Greef, Margriet M.W.B. Hendriks, Age K. Smilde

Research output: Contribution to JournalArticleAcademicpeer-review


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.

Original languageEnglish
Article numbere96284
JournalPLoS ONE
Issue number5
Publication statusPublished - 22 May 2014
Externally publishedYes


Dive into the research topics of 'Network identification of hormonal regulation'. Together they form a unique fingerprint.

Cite this