饮食摄入量和体重指数影响遗传风险儿童胰岛自身免疫的风险:一项使用TEDDY队列的中介分析。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-01-01 Epub Date: 2023-02-17 DOI:10.1155/2023/3945064
Carin Andrén Aronsson, Roy Tamura, Kendra Vehik, Ulla Uusitalo, Jimin Yang, Michael J Haller, Jorma Toppari, William Hagopian, Richard A McIndoe, Marian J Rewers, Anette-G Ziegler, Beena Akolkar, Jeffrey P Krischer, Jill M Norris, Suvi M Virtanen, Helena Elding Larsson
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引用次数: 0

摘要

背景/目的:生长和肥胖与胰岛自身免疫(IA)风险增加和进展为1型糖尿病有关。我们的目的是通过BMI来估计能量产生的大量营养素摄入对IA发展的影响。研究设计和方法:芬兰、德国、瑞典和美国的遗传风险儿童(n=5084)在2岁时自身抗体呈阴性,随访至8岁,每年收集两次人体测量和3天的食物记录。其中495名(9.7%)儿童出现IA。对时变协变量(BMI z评分)和暴露(能量摄入)进行了中介分析。敏感性分析采用Cox比例风险法。结果:我们发现总能量摄入(估计:间接影响0.13[0.05,021])和蛋白质能量(估计:直接影响0.06[0.02,011])、脂肪能量(估计值:间接影响0.03[0.01,0.05])和碳水化合物能量(估计量:间接影响0.02[0.004])(kcal/天)对IA的发展有间接影响,以kcal/天(估计:直接作用1.09[0.35,1.56])和能量百分比(估计:间接作用72.8[3.0,98.0])表示,以及GAD自身抗体(GADA)的发展。在敏感性分析中,蛋白质能量(kcal/天)与GADA风险增加相关,危险比为1.24(95%CI:1.09,1.53),p=0.042。结论:本研究证实,总能量摄入越高,BMI越高,导致IA发生的风险越高。蛋白质能量比例较大的饮食对GADA的发展有直接影响。
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Dietary Intake and Body Mass Index Influence the Risk of Islet Autoimmunity in Genetically At-Risk Children: A Mediation Analysis Using the TEDDY Cohort.

Background/objective: Growth and obesity have been associated with increased risk of islet autoimmunity (IA) and progression to type 1 diabetes. We aimed to estimate the effect of energy-yielding macronutrient intake on the development of IA through BMI.

Research design and methods: Genetically at-risk children (n = 5,084) in Finland, Germany, Sweden, and the USA, who were autoantibody negative at 2 years of age, were followed to the age of 8 years, with anthropometric measurements and 3-day food records collected biannually. Of these, 495 (9.7%) children developed IA. Mediation analysis for time-varying covariates (BMI z-score) and exposure (energy intake) was conducted. Cox proportional hazard method was used in sensitivity analysis.

Results: We found an indirect effect of total energy intake (estimates: indirect effect 0.13 [0.05, 0.21]) and energy from protein (estimates: indirect effect 0.06 [0.02, 0.11]), fat (estimates: indirect effect 0.03 [0.01, 0.05]), and carbohydrates (estimates: indirect effect 0.02 [0.00, 0.04]) (kcal/day) on the development of IA. A direct effect was found for protein, expressed both as kcal/day (estimates: direct effect 1.09 [0.35, 1.56]) and energy percentage (estimates: direct effect 72.8 [3.0, 98.0]) and the development of GAD autoantibodies (GADA). In the sensitivity analysis, energy from protein (kcal/day) was associated with increased risk for GADA, hazard ratio 1.24 (95% CI: 1.09, 1.53), p = 0.042.

Conclusions: This study confirms that higher total energy intake is associated with higher BMI, which leads to higher risk of the development of IA. A diet with larger proportion of energy from protein has a direct effect on the development of GADA.

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