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1 Division of Endocrinology, Departments of Internal Medicine and Pharmacology, General Clinical Research Center, Center for Biomathematical Technology, University of Virginia School of Medicine, Charlottesville 22908-0202; 2 Endocrine Section, Medical Service, Salem Veterans Affairs Medical Center, Salem 24153; 3 Geriatrics and Extended Care Service, McGuire Veterans Affairs Medical Center, Richmond, Virginia 23249; 4 Endocrine Section, Medical Service, Veterans Affairs Medical Center, Ann Arbor, Michigan 48105; and 5 Guilford, Connecticut 06437
The present
experiments examine the neuroregulatory hypothesis that the degree of
sample-by-sample regularity of hormone output by an interlinked
hypothalamopituitary target-organ system monitors the strength of
feedback and/or feedforward signaling. To test this postulate and
assess its generality, we implemented a total of nine thematically
complementary perturbation experiments. In particular, we altered
feedback or feedforward signaling selectively in two distinct
neuroendocrine systems; namely, the growth hormone (GH) insulin-like
growth factor type I (IGF-I) and the luteinizing hormone-testosterone
axes. Four experimental paradigms comprised preferential reduction vs.
enhancement of IGF-I or testosterone feedback signal strength; and,
conversely, five others entailed selective attenuation vs. augmentation
of GH-releasing hormone and gonadotropin-releasing hormone feedforward
signal intensity. In these independent interventions, quantitation of
subordinate (nonpulsatile) secretory pattern reproducibility via the
approximate entropy statistic unmasked salient changes (P
values typically <10
3) in the conditional regularity of
serial hormone output with high consistency (96-100%). In
particular, approximate entropy quantified degradation of secretory
subpattern orderliness under either muted feedback restraint or
heightened feedforward drive. Assuming valid interpretation of the
biological constraints imposed, these experimental observations
coincide with earlier reductionist mathematical predictions, wherein
increased irregularity of coupled parameter output mirrors attenuated
feedback and/or augmented feedforward coupling within an integrative system.
neuroregulation; growth hormone; luteinizing hormone; insulin-like growth factor type I; testosterone; thyrotropin; thyroxine; ACTH; cortisol; hormone
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