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Iron, zinc, vitamin A and selenium status in a cohort of Indonesian infants after adjusting for inflammation using several different approaches

机译:使用几种不同的方法调整炎症后印度尼西亚婴儿队列的铁,锌,维生素A和硒状况

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Inflammation confounds the interpretation of several micronutrient biomarkers resulting in estimates that may not reflect the true burden of deficiency. We aimed to assess and compare the micronutrient status of a cohort of Indonesian infants (n 230) at aged 6, 9 and 12 months by ignoring inflammation (unadjusted) and adjusting four micronutrient biomarkers for inflammation with C-reactive protein (CRP) and α-1-glycoprotein (AGP) using the following methods: (1) arithmetic correction factors with the use of a four-stage inflammation model; and (2) regression modelling. Prevalence of infants with any inflammation (CRP>5 mg/l and/or AGP>1 g/l) was about 25% at each age. Compared with unadjusted values, regression adjustment at 6, 9 and 12 months generated the lowest (P0·001) geometric mean (GM) for serum ferritin (26·5, 14·7, 10·8 μg/l) and the highest GM for serum retinol-binding protein (0·95, 1·00, 1·01 μmol/l) and Zn (11·8, 11·0, 11·5 μmol/l). As a consequence, at 6, 9 and 12 months regression adjustment yielded the highest prevalence of Fe deficiency (20·3, 37·8, 59·5 %) and the lowest prevalence of vitamin A (26·4,16·6, 17·3 %) and Zn (16·9, 20·6, 11·0 %) deficiency, respectively. For serum Se, irrespective of adjustment, GM were low (regression: 0·73, 0·78, 0·81 μmol/l) with prevalence of deficiency >50 % across all ages. In conclusion, without inflammation adjustment, Fe deficiency was grossly under-estimated and vitamin A and Zn deficiency over-estimated, highlighting the importance of correcting for the influence of such, before implementing programmes to alleviate micronutrient malnutrition. However, further work is needed to validate the proposed approaches with a particular focus on assessing the influence of varying degrees of inflammation (i.e. recurrent acute infections and low-grade chronic inflammation) on each affected nutrient biomarker.
机译:炎症困扰着几种微量营养素生物标志物的解释,导致估计可能无法反映缺乏的真正负担。我们旨在通过忽略炎症(未调节)和调节与C反应蛋白(CRP)和α的炎症进行炎症和调节四种微量营养生物标志物,评估和比较印度尼西亚婴儿(N 230)队列的微量营养素状态。用C反应蛋白(CRP)和α -1-糖蛋白(AGP)使用以下方法:(1)使用四阶段炎症模型的算术校正因子;和(2)回归建模。每个炎症(CRP> 5mg / L和/或AGP> 1g / L)的婴儿患病率为每年约25%。与未经调整的值相比,6,9和12个月的回归调整产生最低(P <0·001)血清铁蛋白的几何平均值(GM)(26·5,14·7,10·8μg/ L)和最高GM for血清视黄醇结合蛋白(0·95,100,1·01μmol/ L)和Zn(11·8,11·0,11·5μmol/ L)。因此,在6,9和12个月的回归调整产生的Fe缺乏率最高(20·3,37·8,59·5%)和维生素A的最低潜伏期(26·4,16·6,分别为17·3%)和Zn(16·9,20·6,11·0%)缺乏。对于血清SE,无论调整如何,GM都低(回归:0·73,0·78,0·81μmol/ L),缺乏缺乏率> 50%。总之,在没有炎症调整的情况下,Fe缺乏估计和维生素A和Zn缺乏率过度估计,突出了纠正了减轻微量营养不良营养不良的计划的影响。然而,需要进一步的工作来验证提出的方法,特别关注评估各种影响营养生物标志物对不同程度的炎症(即复发性急性感染和低级慢性炎症)的影响。

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