CONTEXT: Divergence between GH and IGF-I values is regularly observed in treated acromegalic patients, and its significance is unclear. OBJECTIVES: The objective of the study was to explore the frequency and identify potential determinants of discordant serum GH and IGF-I concentrations in noncured acromegalic patients. PATIENTS: Two hundred twenty-nine noncured acromegalic patients of the Belgian acromegaly registry (AcroBel) were grouped according to their mean GH level (< or = or > 2 microg/liter) and IGF-I z-score (< or = 2 or > 2). Clinical and metabolic parameters were compared between groups with active disease (high GH and IGF-I; n=81),high GH (with normal IGF-I; n=25), high IGF-I (with normal GH; n=55), and controlled disease (GH and IGF-I normal; n=68). RESULTS: Compared with the high IGF-I group, the high GH group was characterized by younger age (52 vs. 58 yr, P < 0.05), female predominance (72 vs. 36%, P < 0.01), and lower body mass index (25 vs. 31 kg/m(2); P < 0.001), fasting glucose (91 vs. 99 mg/dl; P < 0.05), and glycated hemoglobin levels (5.7 vs. 6.1%; P < 0.01). There was no difference among the groups regarding baseline characteristics of pituitary adenoma, current medical treatment, or symptom score. CONCLUSIONS: Thirty-five percent of noncured acromegalic patients exhibit a discordant GH and IGF-I pattern. The high GH phenotype was found predominantly in younger estrogen-sufficient females, implying a possible role for age, gender, and estrogens in this biochemical divergence. The high IGF-I phenotype was associated with a worse metabolic profile, suggesting that high IGF-I, rather than high GH, is indicative of persistently active disease.
CONTEXT: Divergence between GH and IGF-I values is regularly observed in treated acromegalicpatients, and its significance is unclear. OBJECTIVES: The objective of the study was to explore the frequency and identify potential determinants of discordant serum GH and IGF-I concentrations in noncured acromegalicpatients. PATIENTS: Two hundred twenty-nine noncured acromegalicpatients of the Belgian acromegaly registry (AcroBel) were grouped according to their mean GH level (< or = or > 2 microg/liter) and IGF-I z-score (< or = 2 or > 2). Clinical and metabolic parameters were compared between groups with active disease (high GH and IGF-I; n=81),high GH (with normal IGF-I; n=25), high IGF-I (with normal GH; n=55), and controlled disease (GH and IGF-I normal; n=68). RESULTS: Compared with the high IGF-I group, the high GH group was characterized by younger age (52 vs. 58 yr, P < 0.05), female predominance (72 vs. 36%, P < 0.01), and lower body mass index (25 vs. 31 kg/m(2); P < 0.001), fasting glucose (91 vs. 99 mg/dl; P < 0.05), and glycated hemoglobin levels (5.7 vs. 6.1%; P < 0.01). There was no difference among the groups regarding baseline characteristics of pituitary adenoma, current medical treatment, or symptom score. CONCLUSIONS: Thirty-five percent of noncured acromegalicpatients exhibit a discordant GH and IGF-I pattern. The high GH phenotype was found predominantly in younger estrogen-sufficient females, implying a possible role for age, gender, and estrogens in this biochemical divergence. The high IGF-I phenotype was associated with a worse metabolic profile, suggesting that high IGF-I, rather than high GH, is indicative of persistently active disease.
Authors: Samuel S Shin; Matthew J Tormenti; Alessandro Paluzzi; William E Rothfus; Yue-Fang Chang; Hanady Zainah; Juan C Fernandez-Miranda; Carl H Snyderman; Sue M Challinor; Paul A Gardner Journal: Pituitary Date: 2013-12 Impact factor: 4.107
Authors: Jessica A Brzana; Chris G Yedinak; Johnny B Delashaw; Hume S Gultelkin; David Cook; Maria Fleseriu Journal: Pituitary Date: 2012-12 Impact factor: 4.107
Authors: F Magri; C Villa; D Locatelli; P Scagnelli; M S Lagonigro; P Morbini; M Castellano; E Gabellieri; M Rotondi; E Solcia; A F Daly; L Chiovato Journal: J Endocrinol Invest Date: 2009-12-01 Impact factor: 4.256
Authors: Anne Klibanski; Shlomo Melmed; David R Clemmons; Annamaria Colao; Regina S Cunningham; Mark E Molitch; Aaron I Vinik; Daphne T Adelman; Karen J P Liebert Journal: Pituitary Date: 2010-09 Impact factor: 4.107