| Literature DB >> 20045717 |
Toshiko Kano1, Hitoshi Sugihara, Mariko Sudo, Mototsugu Nagao, Taro Harada, Akira Ishizaki, Yasushi Nakajima, Kyouko Tanimura, Fumitaka Okajima, Hideki Tamura, Shinya Ishii, Tamotsu Shibasaki, Shinichi Oikawa.
Abstract
Insulin tolerance test (ITT) is the gold standard for assessing the hypothalamic-pituitary-adrenal (HPA) function. GH-releasing peptide (GHRP)-2, which has a strong GH-stimulating activity, is useful for diagnosing GH deficiency as well as ITT. Additionally, GHRP-2 is also known to activate HPA axis. There have been no comparative studies of pituitary-adrenal responsiveness between GHRP-2 test and ITT in patients with hypothalamic/pituitary disease. To assess whether GHRP-2 test could be an alternative to ITT for diagnosing HPA axis failure, both ITT and GHRP-2 test were performed in 15 patients suspected of hypopituitarism. A 100mug dose of GHRP-2 was administered intravenously and plasma ACTH and serum cortisol concentrations were measured. In ITT, a peak cortisol value over 18mug/dl is considered normal. Nine patients were diagnosed as HPA axis failure by ITT. Their median peak cortisol in GHRP-2 test was 11.4mug/ml. In 6 patients diagnosed as normal HPA axis status by ITT, their median peak cortisol in response to GHRP-2 test was 21.4mug/dl, significantly higher (p=0.0032) than seen in patients diagnosed as HPA axis failure. There was a strong correlation between the peak cortisol in GHRP-2 test and ITT (r=0.817; p<0.0001). When the cut-off value for the peak cortisol in GHRP-2 test was set to 13-14mug/dl for diagnosing HPA axis failure, the specificity and sensitivity were 100% and 88.9%, respectively. Although further studies that include normal subjects are needed, these preliminary results suggest the possibility that GHRP-2 test may be an alternative to ITT for assessing HPA axis function. Copyright 2009 Elsevier Inc. All rights reserved.Entities:
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Year: 2010 PMID: 20045717 DOI: 10.1016/j.peptides.2009.12.023
Source DB: PubMed Journal: Peptides ISSN: 0196-9781 Impact factor: 3.750