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A plasma proteome is associated with carotenoid status in young Nepalese children
Author(s) -
Eroglu Abdulkerim,
Schulze Kerry Jean,
Cole Robert N.,
Christian Parul,
yane Bareng Aletta Sanny,
Lee Sun Eun,
Wu Lee Shu Fune,
Khatry Subarna,
West Keith P.
Publication year - 2017
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.31.1_supplement.635.12
Subject(s) - carotenoid , zeaxanthin , lutein , micronutrient , lycopene , proteome , population , chemistry , vitamin , food science , biochemistry , medicine , environmental health , organic chemistry
Background Dietary carotenoids are naturally occurring pigments that may function in the body as vitamin A precursors, antioxidants, anti‐inflammatory agents or biomarkers of recent intake of vegetables and fruits, and thus be important for population assessments of nutritional status. Yet, carotenoid status is rarely assessed due to cost and difficulty. Quantitative plasma proteomics may offer an indirect approach to assess carotenoid status by identifying potentially predictive plasma proteins. Objective To detect and quantify a set of plasma proteins associated with major dietary carotenoids including β‐carotene, α‐carotene, β‐cryptoxanthin, lycopene, lutein and zeaxanthin in a cohort of 500 6–8 year old rural Nepalese children. Design Study children were born to mothers enrolled in an earlier antenatal micronutrient trial in Sarlahi, Nepal. Plasma carotenoid concentrations were measured by conventional HPLC analytical methods. For analysis of the plasma proteome, plasma aliquots were immunoaffinity‐depleted of six high abundance proteins, digested with trypsin, labeled with isobaric mass tags (iTRAQ 8‐plex reagents), and analyzed for protein relative abundance on tandem mass spectrometry (MS/MS). Linear mixed effects (LME) models were used to derive estimates of relative protein abundance, determine the direction and strength of correlation between individual proteins and plasma log 2 concentration of each carotenoid, accepting a false discovery rate of q <0.10, and predicting, when feasible (AIC ≥ 30, q<0.10, p<0.0004), plasma carotenoid distributions. Results We quantified 982 plasma proteins in >10% of all child samples. Fifty‐one proteins were correlated with log 2 β‐cryptoxanthin, primarily involved in lipid transport, oxidative stress, immune system regulation, and lipid peroxidation. Three modeled plasma proteins (APO‐A1, protein phosphatase, Mg2+/Mn2+ dependent, 1M and leucine rich repeat containing 47) explained 50% of the variance in log 2 β‐cryptoxanthin (model R 2 =0.50). Plasma β‐carotene was associated with 4 proteins (orosomucoid 1, APO‐A1, pyruvate kinase, muscle [PKM] and TNFAIP3 interacting protein 1[TNIP1]). Two (APO‐A1 and PKM) were predictive of plasma β‐carotene (R 2 =0.66). Eleven plasma proteins were correlated with lutein/zeaxanthin, including APO‐A1, TNIP1 and 3 were modeled to be predictive of plasma concentration (model R 2 =0.55) (all q<0.10). No predictive models proteomes were identified for α‐carotene and lycopene. Conclusions We identified plasma proteomes that varied in size and were moderately predictive of plasma concentrations of β‐cryptoxanthin, β‐carotene and lutein/zeaxanthin. Plasma proteomics may offer an approach to assess carotenoid status in undernourished populations. Support or Funding Information Supported by the Bill & Melinda Gates Foundation (OPP5241).