2015
DOI: 10.1002/mnfr.201500549
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Plasma metabolomic biomarkers of mixed nuts exposure inversely correlate with severity of metabolic syndrome

Abstract: Q 2 cum, model predictive ability parameter according to cross validation; ROC, receiver operating curve; R 2 X, goodness-of-fit parameter; R 2 Y, proportion of the variance of the response variable that is explained by the model; T0, baseline time; T3, after 12-w of nuts consumption; VIP, variable importance for projection; XIC, extracted ion chromatogram.Keywords: adiposity / biomarker of nuts / gut microbiota / metabolomics / plasma human ABSTRACT Scope. To identify the most discriminant dietary biomarkers … Show more

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Cited by 45 publications
(49 citation statements)
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“…). Supporting these findings, Uro‐A was shown to correlate inversely with the severity of various MetS biomarkers . The metabotype B, however, was not prevalent in subjects with diseases not involving gut dysbiosis such as prostate cancer, prostate hyperplasia, or chronic obstructive pulmonary disease.…”
Section: Inter‐ and Intraindividual Variability In Response To The Inmentioning
confidence: 73%
“…). Supporting these findings, Uro‐A was shown to correlate inversely with the severity of various MetS biomarkers . The metabotype B, however, was not prevalent in subjects with diseases not involving gut dysbiosis such as prostate cancer, prostate hyperplasia, or chronic obstructive pulmonary disease.…”
Section: Inter‐ and Intraindividual Variability In Response To The Inmentioning
confidence: 73%
“…Being supervised techniques, PLS‐based approaches identify spectral signals that co‐vary with the modeled variable, e.g., class membership (PLSDA) or actual dietary exposure (PLS regression). In other words, taking a priori knowledge of samples into account allows one to filter out metabolic information that is not correlated to the nutritional treatment or dietary pattern under consideration . Recently, PLS‐based methods have also been proposed in data fusion applications.…”
Section: Data Visualization Preprocessing and Analysismentioning
confidence: 99%
“…In men, this polyphenol mixture decreased the amount of fecal bacteroidetes and tended to decrease Faecalibacterium prausnitzii , but these changes were not observed in women [126], highlighting the complex nature of intestinal microbiota. Moreover, MetS features may also influence intestinal microbiota and polyphenol metabolism and therefore their bioactivity [127, 128]. A randomized study in MetS patients has shown that bioavailability of ellagitannins depends on the gut composition of microbiota [98].…”
Section: Effects Of Polyphenol Intake On the Metabolic Syndromementioning
confidence: 99%