Network identification of hormonal regulation.
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.
Department 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.
Daniel J
DJ
Vis
Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands; Netherlands Metabolomics Centre, Leiden, The Netherlands.
Johan A
JA
Westerhuis
Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands; Netherlands Metabolomics Centre, Leiden, The Netherlands.
Huub C J
HC
Hoefsloot
Department of Endocrinology and Metabolic Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Ferdinand
F
Roelfsema
Netherlands Metabolomics Centre, Leiden, The Netherlands; TNO Quality of Life, Zeist, The Netherlands.
Jan
J
van der Greef
Department of Metabolic and Endocrine Diseases, University Medical Center Utrecht, Utrecht, The Netherlands; Netherlands Metabolomics Centre, Leiden, The Netherlands.
Margriet M W B
MM
Hendriks
Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands; Netherlands Metabolomics Centre, Leiden, The Netherlands.
Age K
AK
Smilde
D015331:Cohort Studies; D003198:Computer Simulation; D005260:Female; D006728:Hormones / Q000097:blood* / Q000378:metabolism; D006801:Humans; D008954:Models, Biological; D009765:Obesity / Q000097:blood* / Q000378:metabolism; D047648:Perimenopause / Q000097:blood / Q000378:metabolism; D010507:Periodicity
D006728:Hormones