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1
Department of Paediatric Biochemistry, Royal Hospital for Sick Children, Sciennes Rd., and Department of Child Life and Health, University of Edinburgh, 20 Sylvan Place, Edinburgh EH9 1LF, Scotland, UK.
2
Department of Paediatrics, Trinity College, Dublin and
the National Children's Hospital, Harcourt St., Dublin 2, Ireland.
3
Department of Zoology, Trinity College, Dublin 2,
Ireland.
a Author for correspondence. Fax 44-131-5360410.
| Abstract |
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0.0015). PICP showed no detectable increase during adolescence for
either sex, but decreased towards adult concentrations after the age of
puberty, with an earlier decrease for girls than for boys
(P <0.01). ICTP and P3NP both increased in pubertal-aged
children (P <0.05), with an earlier increase in girls than
in boys (P <0.05), before decreasing towards adult
concentrations (P <0.01). All three collagen markers were
highly correlated with one another (P <0.001). The
patterns observed mirrored the childhood growth curve and reflected the
high turnover of bone and soft tissue during childhood
growth. | Introduction |
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We, and others (4)(5)(6)(7)(8), have demonstrated that plasma concentrations of bone alkaline phosphatase, P3NP, PICP, and ICTP in children with growth disorders reflect height velocity and may be used to give an early indication of height velocity response to growth-promoting treatments. These markers may be of considerable potential value in assessing the effects of the underlying disorder and therapeutic interventions on bone turnover and growth in children in other clinical conditions. In such studies, use of a panel of biochemical markers that reflect different aspects of bone and soft tissue turnover is essential. However, good age- and sex-related reference data are needed for their interpretation. We have previously reported children's reference data for bone alkaline phosphatase (9). We present here reference data for P3NP, PICP, and ICTP, obtained from a group of school-attending children, and also the interrelationships between these markers.
| Materials and Methods |
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Collagen markers were measured on stored samples from 302 of these children (156 boys, 146 girls) ages 419 years. Between 10 and 14 samples from each sex in each year-group were analyzed, except for girls age 4 years and boys age 18 years from whom only four samples each were available.
methods
Assays.
We measured PICP, ICTP, and P3NP by radioimmunoassay
(Orion Diagnostica), with methods described previously
(11)(12)(13). Before analysis, we diluted samples
appropriately in 154 mmol/L sodium chloride to achieve concentrations
within the calibration curve; in prepubertal and pubertal children
typical dilutions were 1 in 4 for PICP and 1 in 2 for ICTP and P3NP. In
brief, we mixed diluted plasma (100 µL for PICP and ICTP, 200 µL
for P3NP) with 200 µL of polyclonal antiserum (rabbit) and 200 µL
of 125I-labeled tracer. After a 2-h incubation at 37 °C,
we added 500 µL of second antibody covalently bound to solid
particles and allowed the tubes to stand for 30 min at room
temperature. After centrifugation, we removed the supernatant and
counted the precipitated antibodyantigen complex in a gamma counter.
Calibration curves were constructed with five calibrators by spline
function curve-fitting. All samples were analyzed in duplicate.
Between-run CVs were 7.8% at 94 µg/L and 5.2% at 320 µg/L for
PICP, 6.3% at 8.7 µg/L and 9.2% at 33.8 µg/L for ICTP, and 5.6%
at 4.6 µg/L and 6.4% at 10.4 µg/L for P3NP.
Statistical methods.
The data were analyzed separately for
each sex and each year of age (e.g., the 4-year-old age-band comprised
children
4.0 to <5.0 years) and also for all ages combined, to
assess whether untransformed or log-transformed data gave a better fit
to a gaussian distribution: Means, medians, SD values, and indices of
skewness and kurtosis were compared with transformed and untransformed
data. After log-transformation, data from males and females in each
yearly age-band were compared with unpaired t-tests. Within
each sex, changes with age were assessed by one-way ANOVA of the
log-transformed data, followed by Fisher-protected least significant
difference as a post hoc test. On the basis of the ages at which
statistically significant changes in each collagen marker occurred,
results in adjacent age-bands were then combined to derive appropriate
age- and sex-related reference intervals. The 95% reference interval
was defined as the arithmetic mean of the log-transformed data ±
2 SD, raised to the power of 10. Means ± SD of the
log-transformed data have also been presented to allow calculation of
SD scores by age and sex. All statistical tests were two-tailed, and
P <0.05 was regarded as significant.
| Results |
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The geometric means of each marker by sex and age are displayed in
Figs. 13
, c. PICP, ICTP, and P3NP all showed a significant variation
with age for both sexes (ANOVA, P
0.0015). For PICP in
boys, however, post hoc testing demonstrated that no statistically
significant change occurred before the age of 17 years. PICP
concentrations in boys ages 17 and 18 years were lower than at all
other ages (P <0.01). In girls, there was no significant
change in PICP between the ages of 4 and 12 years. PICP concentrations
in 13- and 14-year-old girls were lower than in younger girls
(P <0.01) and lower still in girls ages 1518 years
(P <0.01). PICP concentrations did not differ between the
sexes until age 13, thereafter reaching maximum difference at ages
1516 years (P <0.001).
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For both ICTP and P3NP in boys, post hoc testing indicated no significant change between ages 4 and 11 years. Boys ages 1216 years had higher concentrations than younger boys (P <0.05) and older boys ages 1718 years (P <0.05). In girls, the two markers showed slightly different patterns. For ICTP, there were no consistent significant change between the ages of 4 and 8 years. Girls ages 913 years had higher concentrations than girls ages 68 years (P <0.05) and all older girls (P <0.01). There was a further progressive decrease in ICTP in girls from ages 1417 years (P <0.05). For P3NP in girls, there was no significant change between ages 4 and 10 years. Girls ages 1112 years had higher concentrations than younger girls (P <0.05) and girls ages 1418 years (P <0.01). Concentrations declined progressively then, with 13- to 14-year-old girls having higher P3NP concentrations than 15- to 18-year-old girls (P <0.01). At ages 9 and 11 years, girls had significantly higher concentrations of both ICTP and P3NP than did boys (P <0.05). Conversely, between ages 14 and 17 years, boys had higher concentrations of these collagen markers than did girls (P <0.01).
Table 1
shows age- and sex-specific logarithmic means ± SD and
derived 95% reference intervals for the collagen markers, on the basis
of the above age-groupings. Cross-correlations between PICP, ICTP, and
P3NP measurements on the same samples of serum, both for the study
group as a whole and subdivided into prepubertal-aged children, are
given in Table 2
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| Discussion |
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We found that log-transformation was required to achieve a gaussian distribution for PICP and P3NP. Some (14)(15) but not all (6)(7)(13) previous authors have applied a similar transformation. For PICP, our reference data were very similar to those obtained by other authors when the same assay method was used (6)(14)(15), with a similar lack of increase during the pubertal growth spurt. Increased secretion of growth hormone and sex steroids during this period may affect the clearance of PICP via the mannose receptor of liver endothelial cells (23). By contrast, Saggese et al. (7) did find increases in PICP during puberty in both boys and girls although their prepubertal reference data were similar to our own; this discrepancy remains unexplained.
Our P3NP reference data were also very similar to those obtained by others by the same assay method (13)(14), with an earlier peak in girls than in boys, reflecting the sex differences in timing of peak growth velocity during puberty. The increased ICTP that we observed during puberty is qualitatively similar to pubertal increases in pyridinoline and deoxypyridinoline excretion previously reported in children (24). However, unlike that earlier study, we observed sex differences in the timing of the pubertal increase, suggesting that ICTP may reflect the timing of the pubertal growth spurt more closely than pyridinium cross-link excretion.
All three collagen markers were highly correlated with one another when all the data were pooled, reflecting their close association with growth. The lower (but still statistically significant) correlations in prepubertal than in pubertal children can be explained by the smaller variation in growth rates among the former. Notably, in each group of children we observed higher correlations between P3NP and ICTP than between PICP and ICTP. A similar phenomenon was found in our earlier study on short, healthy children undergoing growth-promoting treatments (8). The explanation may be twofold. Firstly, a small proportion of P3NP is incorporated into newly synthesized soft tissue collagen fibrils, so that its concentration in serum may partially reflect the soft tissue collagen degradation that occurs during tissue modeling. In individual children, this may coincide with the degradation of type I collagen occurring at the same time (releasing ICTP into the circulation), either as part of the normal saltatory growth pattern (25) or during subclinical infections that may affect short-term growth (26). We have found no evidence of analytical cross-reaction between the two assays and in other longitudinal clinical studies have found dissociation between P3NP and ICTP responses to disease and therapeutic interventions (unpublished observations). Secondly, normal growth-associated bone modeling in children does not involve tight coupling of osteoblast and osteoclast activity. Therefore no reason exists to suppose that PICP and ICTP would be highly correlated at a single point in time, except insofar as both reflect a different aspect of growth.
In this study we have produced age- and sex-related 95% reference intervals for PICP, P3NP, and ICTP, together with log-transformed mean ± SD values that allow calculation of SD scores. These are now being applied to other pediatric clinical studies currently underway on the effect of disease burden and therapeutic interventions on bone and somatic growth.
| Acknowledgments |
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| Footnotes |
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| References |
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