Suppr超能文献

健康中年男性对胰高血糖素刺激试验的生长激素分泌情况。

Growth hormone secretion in response to glucagon stimulation test in healthy middle-aged men.

作者信息

Micmacher Eduardo, Assumpção Roberto P, Redorat Renato G, Spina Luciana D, Cruz Ivan C, Silva Carla A, Vaisman Mário, Conceição Flávia Lúcia

机构信息

Departamento de Endocrinologia, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

出版信息

Arq Bras Endocrinol Metabol. 2009 Oct;53(7):853-8. doi: 10.1590/s0004-27302009000700009.

Abstract

OBJECTIVE

To investigate the growth hormone (GH) response to glucagon stimulation test (GST) in a population of healthy men over 50 years old in comparison to insulin tolerance test (ITT), analysis of the spontaneous 24-hour GH profile and insulin-like growth factor 1 (IGF-I).

METHODS

27 healthy men aged between 51 and 65 years were tested.

RESULTS

Using non-parametric correlation analysis, a positive correlation between GH peak after GST and mean IGF-I (r = 0.528; p = 0.005) was found, as well with GH peak in 24-hour profile (r = 0.494; p = 0.009). No correlation was found comparing GH peak after ITT with the same parameters. Ten subjects presented GH peak of less than 3.0 microg/L after GST, none confirmed in ITT.

CONCLUSIONS

GH peak response to GST was lower than ITT, but it showed a positive correlation with mean IGF-I and also with GH peak in 24-hour profile. However, GST should not be used to differentiate organic growth hormone deficiency (GDH) from the expected decline on GH secretion due to aging.

摘要

目的

与胰岛素耐量试验(ITT)、24小时生长激素(GH)自发分泌曲线分析及胰岛素样生长因子1(IGF-I)相比,研究50岁以上健康男性群体对胰高血糖素刺激试验(GST)的GH反应。

方法

对27名年龄在51至65岁之间的健康男性进行测试。

结果

采用非参数相关分析,发现GST后GH峰值与平均IGF-I之间呈正相关(r = 0.528;p = 0.005),与24小时分泌曲线中的GH峰值也呈正相关(r = 0.494;p = 0.009)。将ITT后的GH峰值与相同参数进行比较,未发现相关性。10名受试者在GST后GH峰值低于3.0μg/L,在ITT中无一得到证实。

结论

GST的GH峰值反应低于ITT,但它与平均IGF-I以及24小时分泌曲线中的GH峰值呈正相关。然而,GST不应被用于区分器质性生长激素缺乏(GDH)与因衰老导致的GH分泌预期下降。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验