2016
DOI: 10.1002/mnfr.201600120
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A serum metabolomics‐driven approach predicts orange juice consumption and its impact on oxidative stress and inflammation in subjects from the BIONAOS study

Abstract: We designed a new panel of biomarkers to differentiate the intake of OJs containing different doses of polyphenols. On the other hand, the consumption of an OJ with a high content of flavanones improved oxidative stress and inflammatory biomarkers.

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Cited by 33 publications
(20 citation statements)
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“…It can serve as an osmoprotective compound for the kidneys and has been shown recently to exert anti-inflammatory and anti-oxidative stress effects in animal models [ 22 ]. There was a partial correlation revealed by GGM sub-networks between stachydrine and methyl glucopyranoside (alpha/beta), also elevated in athletics, suggesting a similar source, perhaps orange juice as previously shown [ 23 ]. Other compounds elevated in athletics included 2, 3-Dihydroxy-isovalerate, a substrate of dihydroxyacid dehydratase known to be sensitive to nitric oxide [ 24 ] and 4-hydroxyhippurate, a microbial end-product derived from polyphenol metabolism by the microflora in the intestine.…”
Section: Discussionsupporting
confidence: 66%
“…It can serve as an osmoprotective compound for the kidneys and has been shown recently to exert anti-inflammatory and anti-oxidative stress effects in animal models [ 22 ]. There was a partial correlation revealed by GGM sub-networks between stachydrine and methyl glucopyranoside (alpha/beta), also elevated in athletics, suggesting a similar source, perhaps orange juice as previously shown [ 23 ]. Other compounds elevated in athletics included 2, 3-Dihydroxy-isovalerate, a substrate of dihydroxyacid dehydratase known to be sensitive to nitric oxide [ 24 ] and 4-hydroxyhippurate, a microbial end-product derived from polyphenol metabolism by the microflora in the intestine.…”
Section: Discussionsupporting
confidence: 66%
“…3-hydroxy-hippuric acid; iberin N-acetyl-cysteine [29] Fruit Apples and pears Urine Phloretin [35,36]; rhamnitol [34] Citrus Urine Proline betaine; limonene 8,9-diol glucuronide; nootkatone 13,14-diol glucuronide; hesperetin 3 -O-glucuronide; hydroxyproline betaine; N-methyltyramine sulfate; naringenin 7-O-glucuronide; stachydrine; scyllo-and chiro-inositol [28,30,[35][36][37][38][39][40] Orange juice Urine N-methyl proline; methyl glucopyranoside (α+β); stachydrine; betonicine; N-acetyl putrescine; dihydroferulic acid [41] The identification of food biomarkers is an ongoing process; a consensus has not been reached as to which metabolites would be the most adequate biomarkers for different types of foods. Moreover, some metabolites are markers of categories of food, not being able to discriminate between the exact types of foods being analyzed (1-methylhistidine and 3-methylhistidine are found in meat and are not useful in discriminating between types of meat).…”
Section: Type Of Food Sample Type Candidate Biomarker Metabolitementioning
confidence: 99%
“…In this approach, stepwise logistic regression analysis was used to include more than one metabolite in biomarker panels and regressed against dietary data to identify MBPs. Other research groups also applied regression analysis for addressing this issue (Jin et al, 2014;McGrath et al, 2016 ;Neuhouser, Patterson, King, Horner, & Lampe, 2003), whereas, more recently, other multivariate statistical strategies such as PCA, PLS, random forest and support vector machine algorithms have also been used to build MBPs for assessing the consumption of different foods or dietary patterns (Andersen et al, 2014;Gibbons et al, 2015;Marklund et al, 2014;O'Gorman et al, 2014;Rangel-Huerta et al, 2017 ;Rothwell et al, 2014). These multivariate methods may be of interest in terms of the further discovery of dietary exposure biomarkers.…”
Section: Multi-metabolite Biomarker Modelsmentioning
confidence: 99%