Related Experiment Videos
Urinary IGF-I measurement and its clinical application
N Hizuka1, K Takano, K Asakawa
1Department of Medicine, Institute of Clinical Endocrinology, Tokyo Women's Medical College, Japan.
Acta Paediatrica Scandinavica. Supplement
|January 1, 1988
Summary
Insulin-like growth factor I (IGF-I) is present in human urine, with levels correlating to growth hormone (GH) secretion. Urinary IGF-I measurement may offer clinical insights but has limitations.
Area of Science:
- Endocrinology
- Biochemistry
- Urine analysis
Background:
- Insulin-like growth factor I (IGF-I) plays a crucial role in growth and metabolism.
- IGF-I exists in various forms, including free and bound to binding proteins.
- Urinary excretion of biomarkers is increasingly recognized as a valuable diagnostic tool.
Purpose of the Study:
- To investigate the presence and characteristics of IGF-I in human urine.
- To assess the correlation between urinary IGF-I levels and plasma IGF-I and growth hormone (GH) concentrations.
- To evaluate the potential clinical utility of urinary IGF-I as an indicator of GH secretion status.
Main Methods:
- Radioimmunoassay (RIA) was used to quantify IGF-I in urine after Sep-Pak C18 cartridge extraction, specifically measuring the free form.
- 24-hour urinary IGF-I excretion was measured in hypopituitary and short normal children.
- Plasma IGF-I and GH levels were measured concurrently.
Main Results:
- Immunoreactive and receptor-reactive IGF-I was detected in human urine, with 30% in free form and 70% as a high molecular weight complex.
- 24-hour urinary IGF-I excretion correlated with plasma IGF-I and mean 24-hour plasma GH concentration.
- Mean IGF-I levels in single urine samples differentiated between acromegaly, normal subjects, and hypopituitarism, though with some overlap.
Conclusions:
- Urinary IGF-I levels reflect the growth hormone (GH) secretion state.
- While urinary IGF-I shows promise as a biomarker, its clinical application in assessing GH status may be limited due to variability and overlap in individual values.