Potential of the Plasma Nutriproteome to Predict Micronutrient Distributions in Undernourished Settings.

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dc.contributor.authorWest Keith
dc.contributor.authorCole Robert
dc.contributor.authorSchulze, Kerry
dc.contributor.authorBetz, Joshua
dc.contributor.authorRuczinski, Ingo
dc.contributor.authorLee, Sun Eun
dc.contributor.authorWu, Lee
dc.contributor.authorYager, James
dc.contributor.authorGroopman, John
dc.contributor.authorShrestha, Sudeep
dc.contributor.authorChristian, Parul
dc.date.accessioned2015-11-20T05:46:44Z
dc.date.available2015-11-20T05:46:44Z
dc.date.issued2015
dc.description.abstractObjectives: 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.en_US
dc.identifier.citationWest 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.en_US
dc.identifier.issn2347-5641
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/166096
dc.language.isoenen_US
dc.source.urihttps://sciencedomain.org/abstract/11120en_US
dc.titlePotential of the Plasma Nutriproteome to Predict Micronutrient Distributions in Undernourished Settings.en_US
dc.typeArticleen_US
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