Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.
Int J Environ Res Public Health. 2020 Jun 3;17(11):3968. doi: 10.3390/ijerph17113968.
The aim of this study was to investigate whether plasma midregional proadrenomedullin (MR-proADM) reflected body composition, such as body mass index (BMI), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), VAT/SAT ratio, body fat mass (BFM), and skeletal muscle mass (SMM).
A total of 2244 individuals (727 men and 1517 women) were included in the study. Multiple regression analysis was performed to assess the combined influence of variables: age, daily alcohol consumption, Brinkman index, sleeping time, metabolic equivalents, anamnesis for hypertension, dyslipidemia, diabetes, and body composition of MR-proADM, by using a stepwise forward selection method.
MR-proADM was significantly related to all anthropometric indices (BMI, VAT, SAT, VAT/SAT ratio, BFM, and SMM) in men and women. On the basis of a stepwise forward selection method, VAT (men: beta = 0.184, < 0.001, women: beta = 0.203, < 0.001) and BFM (beta = 0.181, < 0.001) in women, were found to be significantly associated with MR-proADM.
This study suggests that plasma MR-proADM concentration is a more reliable indicator of VAT for fat distribution, and thus, MR-proADM may help better understand the obesity paradox. Changes in circulating levels of MR-proADM could possibly reflect changes in body composition, endocrine, and metabolic milieu.
本研究旨在探讨血浆中 midregional proadrenomedullin(MR-proADM)是否反映了身体成分,如体重指数(BMI)、内脏脂肪组织(VAT)、皮下脂肪组织(SAT)、VAT/SAT 比值、体脂肪量(BFM)和骨骼肌量(SMM)。
本研究共纳入 2244 名个体(727 名男性和 1517 名女性)。采用逐步向前选择法进行多元回归分析,评估变量(年龄、每日饮酒量、Brinkman 指数、睡眠时间、代谢当量、高血压病史、血脂异常史、糖尿病史和 MR-proADM 的身体成分)的综合影响。
MR-proADM 与男性和女性所有人体测量指标(BMI、VAT、SAT、VAT/SAT 比值、BFM 和 SMM)均呈显著相关。基于逐步向前选择法,发现 VAT(男性:β=0.184,<0.001;女性:β=0.203,<0.001)和 BFM(女性:β=0.181,<0.001)与 MR-proADM 显著相关。
本研究表明,血浆 MR-proADM 浓度是脂肪分布中 VAT 的更可靠指标,因此,MR-proADM 可能有助于更好地理解肥胖悖论。循环中 MR-proADM 水平的变化可能反映了身体成分、内分泌和代谢环境的变化。