Diana Aly, Haszard Jillian J, Purnamasari Dwi M, Nurulazmi Ikrimah, Luftimas Dimas E, Rahmania Sofa, Nugraha Gaga I, Erhardt Juergen, Gibson Rosalind S, Houghton Lisa
1Faculty of Medicine,Universitas Padjadjaran,Jln. Prof. Eijkman no. 38, Bandung 40161, West Java,Indonesia.
2Department of Human Nutrition,University of Otago,PO Box 56, Dunedin 9054,New Zealand.
Br J Nutr. 2017 Nov;118(10):830-839. doi: 10.1017/S0007114517002860.
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 (P50 % 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.
炎症干扰了几种微量营养素生物标志物的解读,导致所得估计值可能无法反映真正的缺乏负担。我们旨在通过忽略炎症(未调整)以及使用以下方法用C反应蛋白(CRP)和α-1-糖蛋白(AGP)对四种微量营养素生物标志物进行炎症调整,来评估和比较一组印度尼西亚婴儿(n = 230)在6、9和12个月大时的微量营养素状况:(1)使用四阶段炎症模型的算术校正因子;(2)回归建模。每个年龄段有任何炎症(CRP>5 mg/l和/或AGP>1 g/l)的婴儿患病率约为25%。与未调整值相比,6、9和12个月时的回归调整产生的估计值最低(P<0.001),而算术校正因子产生的估计值最高(P<0.001)。对于所有年龄段,经回归调整的铁缺乏患病率估计值在50%以上。总之,未经炎症调整时,铁缺乏被严重低估,维生素A和锌缺乏被高估,这凸显了在实施缓解微量营养素营养不良计划之前校正此类影响的重要性。然而,需要进一步开展工作来验证所提出的方法,尤其要关注评估不同程度的炎症(即反复急性感染和低度慢性炎症)对每种受影响营养素生物标志物的影响。