| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Pediatric Endocrinology |
Department of Otorhinolaryngology (U.K., P.S.) and the Unit for Endocrinology (C.M., M.B.), Department of Pediatrics, Karolinska Institute, Huddinge University Hospital, Stockholm; and International Pediatric Growth Research Center, Department of Pediatrics (J.D., S.R., K.A.-W.), University of Göteborg, Göteborg, Sweden
Address all correspondence and requests for reprints to: Dr. Kerstin Albertsson-Wikland, University of Goteborg, Department of Pediatrics, International Pediatric Growth Research Center, East Hospital, S-416 85 Goteborg, Sweden. E-mail: Kerstin.Albertsson{at}pediat.gu.se
| Abstract |
|---|
|
|
|---|
| Introduction |
|---|
|
|
|---|
Limited information is available on the role of diurnal variations in serum cortisol levels in healthy children and adolescents in relation to age, gender, growth, and pubertal development. A significant variability in homeostasis of the HPA axis has been observed (2). It is not known, however, whether individual differences in the function of the HPA axis, particularly the circadian rhythm of cortisol secretion, are correlated with age, growth, body composition, gender, or pubertal development.
The purpose of this study was to gain insight into adrenocortical activity throughout childhood and to assess the relationship, if any, between serum cortisol levels and age, sex, weight, height, body composition, and pubertal stage. A further objective was to obtain reference data for serum cortisol levels by studying a large group of healthy boys and girls.
| Subjects and Methods |
|---|
|
|
|---|
A total of 235 healthy children (162 boys, 218 cortisol circadian profiles; 73 girls, 120 cortisol circadian profiles) were investigated on 1 or more occasions at the Childrens Hospital (Göteborg, Sweden). Their chronological ages ranged from 2.218.5 yr, and their bone ages were within ±2 SD scores for chronological age. All children were healthy and well nourished and had normal thyroid, liver, and kidney functions. Coeliac disease was excluded. No child was receiving any medical treatment.
Of the 120 profiles in girls, 48 were taken during prepuberty, 17 during pubertal stage 2, 16 during stage 3, 22 during stage 4, and 17 during stage 5. Of the 218 profiles in boys, 136 were taken during prepuberty, 40 during pubertal stage 2, 18 during stage 3, 10 during stage 4, and 14 during stage 5. Puberty was assessed according to Tanner for pubic hair and breast development (3) and according to Prader for testicular volume (4). When adrenarche and gonadarche differed, the pubertal stage was rated after development of gonadarche, i.e. breast development in girls and testicular volume in boys. Height and weight were converted into SD score using the Swedish Growth Reference Values for healthy children (5). The growth of the children had been followed since birth; height ranged from -4.3 to 5.3 SD score, and weight for height ranged from -2.67 to 3.47 SD score according to the formula of Albertsson-Wikland et al. (6).
Study protocol
Cross-sectional study. The children were accommodated at the hospital for at least a 24-h period with the minimal stress possible, during which time they received a normal diet and were allowed routine activity and sleep. A heparinized needle was inserted into an antecubital vein mainly in the afternoon of the day before the sampling began. Blood sampling was initiated at 1400 h, and further samples were obtained at 1800, 2200, 0200, 0400, 0600, and 1000 h. The serum was separated and kept frozen until assayed for cortisol. The number of measurements and the interval between them were chosen so that the circadian rhythm could be studied with as few measurements as possible, taking account of the times when the most dynamic changes occur.
Longitudinal study. A subgroup of 28 children (18 boys and 10 girls) was followed longitudinally with 27 repeated profiles within and/or across pubertal stages, giving a total of 87 profiles. The median time interval between the repeated profiles was 1.05 yr (range, 0.58.0 yr).
The study protocol was approved by the ethical committee of the Medical Faculty (Göteborg, Sweden). Informed consent was obtained from the children, if they were old enough, and their parents.
Measurement of cortisol
Serum cortisol was determined with a RIA from Farmos Diagnostica (Åbo, Finland). The analysis was performed at the Department of Clinical Chemistry at Sahlgrens Hospital (Göteborg, Sweden; accredited laboratory no. 1240 according to European home EN 45001). All points within a profile were measured in the same run. Inter- and intra-assay coefficients of variation were less than 10% over a concentration range between 30800 nmol/L.
Statistical analysis
The results are expressed as the mean ± SEM unless otherwise indicated. For each profile the area under the curve (AUC) was calculated, and this estimate was used for statistical comparisons. The Mann-Whitney U test was used, and P < 0.05 was considered significant. When multiple comparisons were made, the P value was adjusted, using the Bonferroni method, with the number of comparisons to compensate for a mass-significance effect (7).
| Results |
|---|
|
|
|---|
A complete data set of 338 24-h cortisol profiles was obtained
from the 235 healthy children and adolescents examined. As illustrated
in Fig. 1
, there was no age-related difference in mean
cortisol levels over the age range studied (218 yr). Furthermore,
when analyzing all subjects as a group, no correlation was observed
between cortisol levels and weight, height, or body composition,
expressed as the weight for height SD score.
|
|
|
In a longitudinal analysis, no significant differences were
observed between repeated cortisol profiles for each individual,
whether analyzed within a specific pubertal stage or across several or
all five pubertal stages. Figure 4
(upper
panels) illustrates results from selected individuals from each
gender, indicating that the pattern of cortisol secretion and circadian
rhythmicity remained stable and reproducible within the individual
during pubertal development. There were, however, significant
interindividual variations in the normal population. Figure 4
(lower panels) shows serum cortisol values for all five
pubertal stages analyzed as the percentage of the individual cortisol
profile at pubertal stage 1, further demonstrating the consistent
nature of individual cortisol profiles during development. Figure 5
shows the differences (as a percentage) of the AUC
between the first and second 24-h profiles, between the second and
third profiles, and between the third and fourth profiles, illustrating
the high degree of reproducibility between repeated profiles.
|
|
A wide variability in circadian cortisol levels between
individuals was found, with individual mean diurnal values ranging from
100510 nmol/L. All individual profiles together with percentile
ranges are presented in Fig. 6
(left panel).
The right panels of Fig. 6
show the profiles for 3
subgroups, consisting of 15 subjects each, representing individuals
with the highest, median, and lowest mean diurnal level of cortisol.
For the group as a whole there was no correlation between the levels of
cortisol (AUC) and the peak/nadir quotient. However, the 5 individuals
with the highest AUC had a lower peak/nadir value (median, 2.6; range,
1.33.4) than the rest of the group (median, 8.2; range, 3.115.7;
595% percentiles). Despite the relatively small number of
measurements, circadian rhythmicity was observed in all children.
|
| Discussion |
|---|
|
|
|---|
The variability of serum cortisol is known to be the result of many influences, including feedback between the pituitary secretion of ACTH and adrenal secretion of cortisol, circadian rhythm, episodic secretion, transcortin levels (8, 9), wake-sleep patterns, and stress factors (1, 10, 11, 12). This circadian pattern is absent in the newborn, but is well established by 2 yr of age (13). A certain amount of cortisol is essential for normal, nonstressed activity. The episodic secretion of endogenous cortisol in normal subjects has been well established and is characterized by a constant and reproducible pattern after a daily circadian rhythm under stable physiological conditions (14, 15, 16). This rhythmicity is not easily perturbed, although endogenous hormonal oscillations can be phase delayed (1).
The influence of the circadian rhythm of cortisol secretion on growth and physical development has been investigated in only a small number of studies. Significant age and gender differences in cortisol secretion have been reported (13, 17, 18), as has a relationship between cortisol levels, weight, and pubertal stage (19). The majority of studies, however, have not been able to confirm these results and have indicated that there are no significant effects of age, gender, or sexual maturation on the activity of the HPA axis after the neonatal period (20, 21, 22, 23). Conflicting results have also been obtained in cortisol responses to various physical stress factors (24, 25). These contradictory results probably reflect differences in experimental design and/or methodology. The present results generally agree with those from the majority of previous studies, i.e. age, gender, and puberty do not seem to be important factors for the diurnal cortisol levels.
Our study confirms the marked interindividual variability in the circadian profile of cortisol in a healthy population. However, for each individual, the profiles were very stable and reproducible and were not correlated to age, height, weight, body composition, pubertal development, or gender. In fact, the difference in AUC estimates between repeated profiles was in the same range or lower than the assay imprecision, further strengthening the concept of individually maintained levels of cortisol. In humans, several studies have indicated that genetic factors are involved in the expression of circadian rhythmicity (24, 26, 27). It has also been suggested that the development of the HPA response to stress is determined by events occurring early in life (28).
Induced small variations in plasma cortisol are known to affect lipolysis and glucose homeostasis (29). Despite the significant variability in adrenocortical activity both within and between individuals, the system appears to be well regulated within different tissues and at different cellular levels, as indicated by the childrens normal healthy physical development and the absence of any correlation between cortisol levels and body composition, height, and weight. This suggests that differences in cortisol levels reflect normal homeostatic versatility rather than pathology, with variations in cortisol levels perhaps balanced by a corresponding variation in glucocorticoid sensitivity in target cells. Thus, there appears to be an elegantly balanced homeostatic system that encompasses large interindividual differences in cortisol levels under basal conditions without any major disturbances in peripheral tissues.
In summary, our results demonstrating wide interindividual variability in the circadian profile of cortisol in a population of healthy young children are of clinical importance when determining hypo- or hypercortisolism as well as when assessing the effects on the HPA axis of glucocorticoid medication. Moreover, individual differences in cortisol profiles may assume significance in patients requiring high doses of glucocorticoids for long periods of time or in patients predisposed to a disease such as diabetes or osteoporosis. The implications of the findings of our study with regard to symptoms and pathological changes in various diseases as well as sensitivity to glucocorticoid need to be further explored, as clinical observations indicate that some patients receiving traditional glucocorticoid replacement doses became Cushingoid (30), whereas others fail to respond. Normal glucocorticoid replacement doses may, therefore, be either too high or too low for certain individuals. Variations in the range of cortisol secretion should, therefore, be considered when evaluating the effects of glucocorticoid administration.
| Acknowledgments |
|---|
| Footnotes |
|---|
Received June 13, 1996.
Revised October 22, 1996.
Accepted October 24, 1996.
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
S. Wiegand, A. Richardt, T. Remer, S. A Wudy, J. W Tomlinson, B. Hughes, A. Gruters, P. M Stewart, C. J Strasburger, and M. Quinkler Reduced 11{beta}-hydroxysteroid dehydrogenase type 1 activity in obese boys Eur. J. Endocrinol., September 1, 2007; 157(3): 319 - 324. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. M. Hershberger, M. R. McCammon, J. P. Garry, M. T. Mahar, and R. C. Hickner Responses of Lipolysis and Salivary Cortisol to Food Intake and Physical Activity in Lean and Obese Children J. Clin. Endocrinol. Metab., September 1, 2004; 89(9): 4701 - 4707. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Dimitriou, C. Maser-Gluth, and T. Remer Adrenocortical activity in healthy children is associated with fat mass Am. J. Clinical Nutrition, March 1, 2003; 77(3): 731 - 736. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. S. Legro, H. M. Lin, L. M. Demers, and T. Lloyd Urinary Free Cortisol Increases in Adolescent Caucasian Females during Perimenarche J. Clin. Endocrinol. Metab., January 1, 2003; 88(1): 215 - 219. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. L. King and K. M. Hegadoren Stress Hormones: How Do They Measure Up? Biol Res Nurs, October 1, 2002; 4(2): 92 - 103. [Abstract] [PDF] |
||||
![]() |
D. D. Weinstein, D. Diforio, J. Schiffman, E. Walker, and R. Bonsall Minor Physical Anomalies, Dermatoglyphic Asymmetries, and Cortisol Levels in Adolescents With Schizotypal Personality Disorder Am J Psychiatry, April 1, 1999; 156(4): 617 - 623. [Abstract] [Full Text] |
||||
![]() |
N. Weintrob, E. Sprecher, Z. Josefsberg, C. Weininger, Y. Aurbach-Klipper, D. Lazard, M. Karp, and A. Pertzelan Standard and Low-Dose Short Adrenocorticotropin Test Compared with Insulin-Induced Hypoglycemia for Assessment of the Hypothalamic-Pituitary-Adrenal Axis in Children with Idiopathic Multiple Pituitary Hormone Deficiencies J. Clin. Endocrinol. Metab., January 1, 1998; 83(1): 88 - 92. [Abstract] [Full Text] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Endocrinology | Endocrine Reviews | J. Clin. End. & Metab. |
| Molecular Endocrinology | Recent Prog. Horm. Res. | All Endocrine Journals |