Potential of the Plasma Nutriproteome to Predict Micronutrient Distributions in Undernourished Settings.
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Date
2015
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Abstract
Objectives: Micronutrient deficiencies are common but remain ‘hidden' due to difficulty of
assessment. We explored the plasma proteome to identify nutrient-correlated biomarkers that may
predict multiple micronutrient status and deficiencies, possibly on a single platform in the future.
Methods: We measured, in 500 6-8 year old Nepalese children, plasma concentrations of >20
vitamin/mineral indicators and acute phase proteins (APP) by conventional assays, and relative
abundance of proteins by quantitative mass spectrometry, bioinformatics and linear mixed effects
models (Herbrich S et al, 2012; Cole R et al, 2013). We identified ~980 proteins in >10% of
subjects, and evaluated their strength of correlation with micronutrient and APP distributions.
Comparisons were corrected for multiple comparisons, with a 10% threshold for false discoveries.
Results: 142 proteins were correlated with plasma retinol, 6 with 25(OH) vitamin D, 119 with α-
tocopherol, 12 with γ-tocopherol, 6 with PIVKA-II (reflecting vitamin K status), 89 for vitamin B6, 35
for ferritin and 7 for transferrin receptor (reflecting iron status), 232 for copper, 3 for selenium and
none for folate, thyroglobulin (reflecting iodine status) or vitamin B12 (q>0.1 for all
comparisons). Initial models with up to 6 covariates suggest an ability to explain 60-80% of the
variation (R2) in retinol, α-tocopherol, vitamin B6 and copper, ~50% of the variation in ferritin and,
the carotenoid, β-cryptoxanthin and 80-85% of variation in CRP and AGP. Other nutrient-protein models will be presented.
Conclusions: Plasma nutrient-correlated proteomes exist that, with absolute quantification of
candidate proteins, could provide a basis for multiple micronutrient status assessment of
populations in the future.
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West Keith, Cole Robert, Schulze Kerry, Betz Joshua, Ruczinski Ingo, Lee Sun Eun, Wu Lee, Yager James, Groopman John, Shrestha Sudeep, Christian Parul. Potential of the Plasma Nutriproteome to Predict Micronutrient Distributions in Undernourished Settings. European Journal of Nutrition & Food Safety. 2015 Special issue; 5(5): 1181-1182.