女性类风湿性关节炎患者骨骼肌质量的变化与脂质谱相关——tomorrow研究

Clinical Nutrition (Edinburgh, Scotland) Pub Date : 2021-06-01 Epub Date: 2020-12-25 DOI:10.1016/j.clnu.2020.12.028
Yoshinari Matsumoto, Yuko Sugioka, Masahiro Tada, Tadashi Okano, Kenji Mamoto, Kentaro Inui, Daiki Habu, Tatsuya Koike
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引用次数: 4

摘要

背景与目的:探讨类风湿关节炎(RA)患者骨骼肌质量变化与脂质代谢和糖代谢的关系。方法:数据分析来自前瞻性队列研究(TOMORROW;全面管理类风湿性关节炎患者的危险因素以降低发病率和死亡率研究)。采用双能x线骨密度仪测定阑尾骨骼肌质量(ASM),骨骼肌质量指数(SMI)用ASM除以身高的平方计算。亚洲女性的SMI参考值为5.4 kg/m2,用于定义低SMI。采用回顾性队列的横断面(2010年基线数据)和纵向(2010年至2013年数值变化)方法对数据进行评估。结果:在RA患者的基线中,低SMI组的低密度脂蛋白胆固醇(LDL-chol) (p = 0.015)、载脂蛋白(Apo)B (p = 0.046)和载脂蛋白/脂蛋白A1 (ApoB/A1) (p = 0.025)明显高于正常SMI组。在RA患者的多元回归分析中,即使在调整了年龄、RA病程、运动习惯、RA用药、疾病严重程度、日常生活活动(ADL)和体脂量后,SMI、ApoB和ApoC2在2010 - 2013年的顺序变化(Δ)显示出显著的负相关(β = -0.19, -0.18)。ΔSMI与RA患者各糖代谢参数无明显相关性。结论:骨骼肌质量可能与RA患者的脂质代谢有关。这种关系与疾病严重程度和体脂量等因素无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Change in skeletal muscle mass is associated with lipid profiles in female rheumatoid arthritis patients -TOMORROW study.

Background & aims: To examine the relationship between changes in skeletal muscle mass and lipid metabolism and glycometabolism in patients with rheumatoid arthritis (RA).

Methods: Data were analyzed from 148 female RA patients and 145 age-matched non-RA (control) female subjects from a prospective cohort study (TOMORROW; TOtal Management Of Risk factors in Rheumatoid arthritis patients to lOWer morbidity and mortality study). Appendicular skeletal muscle mass (ASM) was assessed using dual-energy x-ray absorptiometry and skeletal muscle mass index (SMI) was calculated as ASM divided by the square of height. The reference value for SMI in Asian women, 5.4 kg/m2, was used to define low SMI. Data were assessed using cross-sectional (2010 baseline data) and longitudinal (change in value from 2010 to 2013) methods from the retrospective cohort.

Results: At baseline in RA patients, the low SMI group showed significantly higher low-density lipoprotein cholesterol (LDL-chol) (p = 0.015), apolipoprotein (Apo)B (p = 0.046), and ApoB-to-A1 (ApoB/A1) (p = 0.025) than the normal SMI group. In multiple regression analysis of RA patients, sequential changes from 2010 to 2013 (Δ) in SMI and ApoB and ApoC2 showed significant negative relationships (β = -0.19, -0.18, respectively) even after adjusting for age, RA duration, exercise habits, medication for RA, disease severity, activities of daily living (ADL) and body fat mass. No significant relation was evident between ΔSMI and various glycometabolism parameters in RA patients.

Conclusions: Skeletal muscle mass might be related to lipid metabolism in RA patients. This relationship is independent of factors such as disease severity and body fat mass.

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