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Human Pituitary Hormones: Circadian and episodic variations PDF

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I HUMAN PITUITARY HORMONES II DEVELOPMENTS IN ENDOCRINOLOGY VOLUME 1 III HUMAN PITUITARY HORMONES Circadian and episodic variations A Workshop Symposium held in Brussels, Belgium, November 29-30, 1979. Sponsored by the Commission of the European Communities, as advised by the Committee on Medical and Public Health Research edited by E. VAN CAUTER, Ph. D. School of Medicine, Free University of Brussels, and Thyroid Study Unit, The University of Chicago and G. COPINSCHI, M.D., Ph. D. School of Medicine, Free University of Brussels 1981 MARTINUS NIJHOFF PUBLISHERS THE HAGUE / BOSTON / LONDON for THE COMMISSION OF THE EUROPEAN COMMUNITIES IV Distributors: for the United States and Canada Kluwer Boston, Inc. 190 Old Derby Street Hingham, MA 02043 for all other countries Kluwer Academic Publishers Group Distribution Center P.O. Box 322 3300 AH Dordrecht The Netherlands This volume is listed in the Library of Congress Cataloging in Publication Data ISBN -13:978-94-009-8284-0 e-ISBN-13 :978-94-009-8282-6 DOl: 10.1007/978-94-009-8282-6 Publication arranged by: Commission of the European Communities, Directorate-General Information Market and Innovation, Luxembourg EUR6857 Copyright ECSC, EEC, EAEC, Brussels-Luxembourg, 1981 Sofleover reprint of the hardcover 1st edition 1981 All rights reserved. No part o/this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Martinus Nijho./f Publishers bv, P.O. Box 566,2501 CN T~e Hague, The Netherlands LEGAL NOTICE Neither the Commission of the European Communities nor any person acting on behalf of the Commission is responsible for the use which might be made of the following information. v FOREWORD During the last decade, circadian and episodic fluctuations of the plasma levels of pituitary hormones have been demon~ trated in man. The interest in the time dependence of the pituitary secretions partially originates from their close functional relation with the neuroendocrine mechanisms pre sumably responsible for the control of the circadian.rhyth micity in man. High frequency blood sampling techniques and specific radio immunoassays have allowed to describe in detail the varia tions over the 24-h cycle of the hormonal concentrations in healthy individuals under basal conditions as well as after manipulation of external synchronizers such as the sleep wake cycle, the dark-light cycle and the feeding schedule. Alterations in normal hormonal var~ions have been sugges ted to play a role in the etiopathogeny of several metabo lic and mental diseases, such as obesity or manic-depressio~ Important clinical implications regarding treatment and pre vention are expected to be developed in the near future. However, so far, data obtained in different groups are dif ficult to compare because different hormones were studied using different protocols and statistical methods. As a result, unclear or controversial issues are not uncommon. Also, because of the interdisciplinary nature of biological rhythm research, studies on 24-h profiles of pituitary hor mones have appeared in a wide variety of publications inclu ding journals specialized not only in clinical endocrinolo gy and neuroendocrinology but also in psychiatry, chronobio logy, sleep or behavioural research and general clinical investigation. Early in 1977, when this Workshop was propo sed to the Committee of Medical Research and Public Health of the Commission of the European Communities, not a single reference volume on endocrine rhythms was available. A unique opportunity to assess the present state of knowledge and methodology in the field by fostering the discussion and the exchange of data between leading investigators was thus provided. The present volume gathers the contributions of the participants and includes a straightforward trans cription of all the discussions. It constitutes an invalua ble reference tool for endocrinologists as well as for all interested in the clinical aspects of biological rhythm research. We thank the Committee of Medical Research and Public Health for evaluation of the Workshop and the Commission of European Communities for sponsorship. We are grateful to Mrs. C. Demesmaeker for careful secretarial and editorial help. G. COPINSCHI E. VAN CAUTER VII CONTENTS Foreword v E. van Cauter and G. Copinschi 1. Quantitative methods for the analysis of circadian and episodic hormone fluctuations E. van Cauter Discussion 26 Moderators: J, Aschoff and G. Copinschi 2. The sleep-wake pattern of cortisol and growth hormone 29 secretion during non-entrained (free running) conditions in man E.D. Weitzman, C.A. Czeisler, J.C. Zimmerman and J. Ronda 3. Search for a primate model of human sleep-related hormone 42 secretion H.J. Quabbe Discussion 64 Moderators: D.S. Minors and E. van Cauter 4. Adaptation of 24-hour hormonal patterns and sleep to jet lag 68 E. van Cauter, S. Refetoff, D. Desir, C. Jadot, M. Fevre-Montange, V.S. Fang, J. Golstein, M. L'Hermite, C. Robyn, P. Noel, J.P. Spire and G. Copinschi Discussion 89 Moderators: E.D. Weitzman and C. Robyn 5. Effect of an imposed 21-hour sleep-wake cycle upon the 96 rhythmicity of human plasma thyrotropin L.G. Rossman, D.C. Parker, A.E. Pekary and J. Hershman Discussion 114 Moderator: L. Vanhaelst 6. Physiological factors influencing the nyctohemeral 118 pattern of TSH J. Golstein, L. Vanhaelst and E. van Cauter 7. Circadian and ultradian variations in serum TSH and thyroid 132 hormones in normal man and in patients with treated and untreated primary hypothyroidism J. Weeke Discussion 152 Moderator: L. Vanhaelst VIII 8. Control of pituitary-adrenal periodicity 161 D.T. Krieger Discussion 178 Moderators: A. Reinberg and J. GoZstein 9. Influence of drug administration on ACTH circadian rhytm 184 F. Ceresa Discussion 203 Moderators: A. Reinberg and J. ~oZstein 10. Hormonal rhythms in pituitary tumors 207 P. Jaquet, M. Guibout, E. Castanas, E. Goldstein, C. Jaquet F. Grisoli and P. Bert Discussion 230 Moderators: C.W. Bardin and J. MendZewicz 11. Circadian variation of plasma growth hormone in normal subjects 233 and diabetic patients. Effects of somatostatin infusion, age and body weight A.P. Hansen and S.E. Christensen Discussion 257 Moderators: C.W. Bardin and J. MendZewicz 12. Circadian and circannual changes of pituitary and other 261 hormones in healthy human males: their relationship with gonadal activity M. Lagoguey and A. Reinberg Discussion 277 Moderators: C.W. Bardin and J. MendZewicz 13. Clinical implications of gonadotropin rhythms 279 C.W. Bardin Discussion 291 Moderator: M. L'Hermite 14. Pituitary and pineal hormone rhythms in manic depression 295 J. Mendlewicz, E. van Cauter, J. Golstein, L. Vanhaelst P. Linkowski, M. L'Hermite, C. Robyn, U. Weinberg and E.D. Weitzman Discussion 306 Moderator: M. L'Hermite IX 15. Circadian rhythm of plasma gonadotropins, prolactin and 310 growth hormone levels in anorexia nervosa: Correlations with hypophysial tests R. Roulier, B. Conte-Devolx, E. Castanas, J. Bert and J.L. Codaccioni Discussion 328 Moderator: M. L'Hermite General Discussion 330 Moderators: D.T. Krieger and G. Copinschi List of participants 351 QUANTITATIVE METHODS FOR THE ANALYSIS OF CIRCADIAN AND EPISODIC HORMONE FLUCTUATIONS Eve Van Cauter Institut de Recherche Interdisciplinaire, School of Medicin~ The University of Brussels, Belgium and The Thyroid Study Unit, Department of Medicine, The University of Chicago, Illinois, USA INTRODUCTION The development of sensitive radioimmunoassays and of high frequency blood sampling techniques has made possible to measure accurately the variations in plasma levels of pitui tary and other hormones over the 24-h cycle. Data gener ated challenged the concept of hormonal homeostasis and in troduced the notion that time of sampling is an important factor in defining normal and pathological levels. The in vestigators of hormonal rhythms are faced with the interpre htion of data of a new type, namely, time series where at least two types of temporal variation are present: (1) a circadian periodicity (low frequency variation); and (2) short-term, episodic fluctuations (high frequency variation). Because of the complexity of the data and of their depen dence upon time, classical statistical methods currently used in clinical investigation cannot be generally applied. The majority of reports on the 24-h profile of blood con stituents have therefore been largely descriptive. The determination of possible correlations between hormonal variations and sleep stages has also been often based on visual examination of the data. The sophistication of the sampling procedures and of the biochemical determina tions in plasma is thus far greater than that of the quantitative 2 interpretation of the observations. It seems likely that results well documented by the data could be overlooked or misinterpreted and that more information could be extracted from the available data provided suitable quantitative pro cedures for their interpretation were available. This paper describes and illustrates methods for the analysis of 24-h profiles of blood components developed over the last few years to interpret data collected at the University of Brussels, Belgium and at the University of Chicago, USA. Procedures for the analysis of low frequency (e.g., circadian) components and high frequency (e.g., epi sodic) components and a preliminary approach to the analy sis of correlations between sleep and hormonal variations will be described separately in the next three sections. THE CHARACTERIZATION OF THE CIRCADIAN COMPONENT Several statistical procedures have been combined to derive a method suitable for the characteristics of 24-h profiles of hormones and other plasma constituents. The method has been described in detail elsewhere (1). This presentation illustrates its potential applications since its statistical background has been previously discussed (1, 2, 3). Because 24-h profiles may not present a definite pat tern, the first step in the analysis consists of testing the significance of the observed temporal fluctuations against the hypothesis of their pure random occurrence. So-called "white noise" tests are used to determine whether the profile consists of a random succession of uncorrelated levels, each data being independent of past and future va lues, or whether consistent trends, periodicities or ten dencies for certain patterns to recur at regular intervals exist (1). If the hypothesis of white noise is rejected, a best fit pattern describing the low frequency variation of the profile is built using repeated periodogram calculations. The periodogram method consists of fitting a sum of sinusoid

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