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Analysis of trough serum growth hormone concentrations: comparison of an immunoradiometric assay and a sensitive ELISA for growth hormone
Author(s) -
Pringle P. J.,
Silvio L. Di,
Hindmarsh P. C.,
Matthews D. R.,
Kurtz A. B.,
Brook C. G. D.
Publication year - 1992
Publication title -
clinical endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 147
eISSN - 1365-2265
pISSN - 0300-0664
DOI - 10.1111/j.1365-2265.1992.tb02302.x
Subject(s) - immunoradiometric assay , endocrinology , medicine , growth hormone , radioimmunoassay , hormone , trough (economics) , chemistry , economics , macroeconomics
OBJECTIVES We compared a sensitive assay for GH (ELISA) with a conventional immunoradiometric (IRMA) assay with particular reference to the oscillatory activity detected by Fourier transformation and the estimation of trough concentrations using occupancy analysis. DESIGN Eight healthy adult male volunteers underwent 24‐hour profiles during which samples were drawn at 20‐minute intervals. Samples were analysed by an ELISA and an IRMA system. MEASUREMENTS The 24‐hour serum GH concentration profiles were subjected to Fourier transformation and to occupancy analysis. RESULTS No additional GH periodicities could be determined in the ELISA data other than the well documented 180–200‐minute periodicity. Median observed concentrations (OC) at 5% occupancy were 0.035 mU/l (range 0.004–0.22) for the ELISA and 0.035 mU/l (range 0.001–0.50) for the IRMA. For all OC parameters, 5,50 and 95%, there was a good correlation between the ELISA and IRMA systems. The mean difference (bias) between the ELISA and IRMA were ‐ 0.05, ‐ 0.28 and ‐1.40 mU/l at OC values of 5, 50 and 95% respectively and the standard deviations of the difference at the same OC values were 0.10, 0.50 and 1.61 mU/l. CONCLUSION Although there is a qualitative improvement on visual inspection of individual 24‐hour serum GH profiles obtained using the ELISA system, there is little additional information gained in terms of pulse periodicity or occupancy analysis.