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血浆蛋白质组鉴定出与尼泊尔营养不良儿童微量营养素状况相关的预期和新蛋白质。

The plasma proteome identifies expected and novel proteins correlated with micronutrient status in undernourished Nepalese children.

机构信息

Mass Spectrometry and Proteomics Core Facility.

出版信息

J Nutr. 2013 Oct;143(10):1540-8. doi: 10.3945/jn.113.175018. Epub 2013 Aug 21.

Abstract

Micronutrient deficiencies are common in undernourished societies yet remain inadequately assessed due to the complexity and costs of existing assays. A plasma proteomics-based approach holds promise in quantifying multiple nutrient:protein associations that reflect biological function and nutritional status. To validate this concept, in plasma samples of a cohort of 500 6- to 8-y-old Nepalese children, we estimated cross-sectional correlations between vitamins A (retinol), D (25-hydroxyvitamin D), and E (α-tocopherol), copper, and selenium, measured by conventional assays, and relative abundance of their major plasma-bound proteins, measured by quantitative proteomics using 8-plex iTRAQ mass tags. The prevalence of low-to-deficient status was 8.8% (<0.70 μmol/L) for retinol, 19.2% (<50 nmol/L) for 25-hydroxyvitamin D, 17.6% (<9.3 μmol/L) for α-tocopherol, 0% (<10 μmol/L) for copper, and 13.6% (<0.6 μmol/L) for selenium. We identified 4705 proteins, 982 in >50 children. Employing a linear mixed effects model, we observed the following correlations: retinol:retinol-binding protein 4 (r = 0.88), 25-hydroxyvitamin D:vitamin D-binding protein (r = 0.58), α-tocopherol:apolipoprotein C-III (r = 0.64), copper:ceruloplasmin (r = 0.65), and selenium:selenoprotein P isoform 1 (r = 0.79) (all P < 0.0001), passing a false discovery rate threshold of 1% (based on P value-derived q values). Individual proteins explained 34-77% (R(2)) of variation in their respective nutrient concentration. Adding second proteins to models raised R(2) to 48-79%, demonstrating a potential to explain additional variation in nutrient concentration by this strategy. Plasma proteomics can identify and quantify protein biomarkers of micronutrient status in undernourished children. The maternal micronutrient supplementation trial, from which data were derived as a follow-up activity, was registered at clinicaltrials.gov as NCT00115271.

摘要

微量营养素缺乏在营养不足的社会中很常见,但由于现有检测方法的复杂性和成本,仍然评估不足。基于血浆蛋白质组学的方法有望定量评估多种营养素与蛋白质的关联,这些关联反映了生物学功能和营养状况。为了验证这一概念,我们在尼泊尔 500 名 6 至 8 岁儿童的队列血浆样本中,通过传统检测方法估计了维生素 A(视黄醇)、D(25-羟维生素 D)和 E(α-生育酚)、铜和硒的横断面相关性,并用定量蛋白质组学用 8 重 iTRAQ 质量标签测量其主要血浆结合蛋白的相对丰度。视黄醇的低水平至缺乏状态的患病率为 8.8%(<0.70 μmol/L),25-羟维生素 D 为 19.2%(<50 nmol/L),α-生育酚为 17.6%(<9.3 μmol/L),铜为 0%(<10 μmol/L),硒为 13.6%(<0.6 μmol/L)。我们鉴定了 4705 种蛋白质,其中 982 种在>50 名儿童中存在。通过线性混合效应模型,我们观察到以下相关性:视黄醇:视黄醇结合蛋白 4(r = 0.88),25-羟维生素 D:维生素 D 结合蛋白(r = 0.58),α-生育酚:载脂蛋白 C-III(r = 0.64),铜:铜蓝蛋白(r = 0.65)和硒:硒蛋白 P 同工型 1(r = 0.79)(均 P <0.0001),通过假发现率阈值为 1%(基于 P 值衍生的 q 值)。个别蛋白质解释了各自营养素浓度变化的 34-77%(R²)。将第二种蛋白质添加到模型中可将 R²提高到 48-79%,表明通过这种策略可以解释营养素浓度的额外变化。血浆蛋白质组学可以鉴定和定量评估营养不良儿童的微量营养素状态的蛋白质生物标志物。数据来源于作为后续活动的孕产妇微量营养素补充试验,已在 clinicaltrials.gov 上注册,登记号为 NCT00115271。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3de/6879017/12038fd0e1eb/1540fig1.jpg

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