Suppr超能文献

重新探讨人类皮质醇参考范围:人口统计学的作用。

Revisiting the cortisol reference ranges in humans: the role of demographics.

机构信息

Cortiqa Health Private Limited, Bangalore, India.

DA Pandu Memorial RV Dental College, Bangalore, India.

出版信息

Endocrine. 2023 Nov;82(2):414-418. doi: 10.1007/s12020-023-03456-x. Epub 2023 Jul 27.

Abstract

The current study explores the effect of demographics on serum cortisol expression in a study group of 52 individuals to improve the current serum reference ranges to produce personalized expression profiles consequently increasing clinical confidence in the diagnosis. The serum cortisol concentration was inspected against demographical data like age, sex, and body mass index and showed an association with age and sex. The serum cortisol values also indicated a positive association with chronic illnesses however this finding requires a more focused study for establishment. Additionally, saliva samples are also collected from the same study group at the same time through drool and an absorbent sponge and correlated with serum values to draw an alternative route of serological testing. Salivary cortisol from drool showed a linear correlation with Pearson's correlation coefficients of 0.71 and 0.72 with serum cortisol and with saliva samples collected using a porous sponge respectively. Overall, the study shows the role of demographics in shaping the reference ranges for cortisol, suggesting a path for developing personalized diagnostics. The study also highlights the efficacy of saliva as an alternative to serum cortisol to facilitate cortisol measurement for efficient stress management.

摘要

本研究探讨了人口统计学因素对 52 名研究对象血清皮质醇表达的影响,旨在改善当前的血清参考范围,生成个性化的表达谱,从而提高临床诊断的信心。对血清皮质醇浓度与年龄、性别和体重指数等人口统计学数据进行了检测,结果显示其与年龄和性别有关。血清皮质醇值还与慢性疾病呈正相关,但这一发现需要进一步的研究来证实。此外,还通过流口水和吸收海绵从同一研究组收集了唾液样本,并与血清值相关联,以寻找替代的血清检测途径。唾液皮质醇与血清皮质醇的皮尔逊相关系数分别为 0.71 和 0.72,与使用多孔海绵收集的唾液样本的皮尔逊相关系数分别为 0.71 和 0.72,均呈线性相关。总的来说,该研究表明人口统计学因素在皮质醇参考范围的形成中起着重要作用,为开发个性化诊断提供了途径。该研究还强调了唾液作为替代血清皮质醇的有效性,以促进皮质醇的测量,从而实现有效的压力管理。

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