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Network identification of hormonal regulation

Author: Vis, D.J. · Westerhuis, J.A. · Hoefsloot, H.C.J. · Roelfsema, F. · Greef, J. van der · Hendriks, M.M.W.B. · Smilde, A.K.
Type:article
Date:2014
Source:PLoS ONE, 5, 9
Identifier: 507085
doi: doi:10.1371/journal.pone.0096284
Article number: e96284
Keywords: Biology · Bromocriptine · Corticotropin · Glucose · Growth hormone · Hydrocortisone · Insulin · Leptin · Prolactin · Thyrotropin · Caloric intake · Clinical article · Cohort analysis · Corticotropin blood level · Female · Glucose blood level · Hormonal regulation · Hormone release · Hormone response · Human · Hydrocortisone blood level · Insulin blood level · Obesity · Prolactin blood level · Thyrotropin blood level · Biomedical Innovation · Healthy Living · Life · MSB - Microbiology and Systems Biology · ELSS - Earth, Life and Social Sciences

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. © 2014 Vis et al. Chemicals/CAS: bromocriptine, 25614-03-3; corticotropin, 11136-52-0, 9002-60-2, 9061-27-2; glucose, 50-99-7, 84778-64-3; growth hormone, 36992-73-1, 37267-05-3, 66419-50-9, 9002-72-6; hydrocortisone, 50-23-7; insulin, 9004-10-8; prolactin, 12585-34-1, 50647-00-2, 9002-62-4; thyrotropin, 9002-71-5