2020
DOI: 10.3390/nu12113501
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Metabolic Syndrome: Past, Present and Future

Abstract: Most clinicians and health professionals have heard or read about metabolic syndrome [...]

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Cited by 143 publications
(105 citation statements)
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“…In particular, using the NMR buckets as input variables, the PCA was preliminarily used to explore the potential differences in the metabolome profile at baseline and/or presence of outliers (95% confidence ellipse using Hotelling’s T 2 statistics). OPLS-DA analysis was also performed on NMR bucket-reduced data, in which results were clearly discriminated in the first predictive t [ 1 ] component. The parameters calculated to assess the validity of the established models were the total amount of variation between and within the groups (R 2 Y and R 2 X) and the predictive ability of the models as determined by permutation test and seven-fold cross-validation (Q 2 ).…”
Section: Methodsmentioning
confidence: 99%
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“…In particular, using the NMR buckets as input variables, the PCA was preliminarily used to explore the potential differences in the metabolome profile at baseline and/or presence of outliers (95% confidence ellipse using Hotelling’s T 2 statistics). OPLS-DA analysis was also performed on NMR bucket-reduced data, in which results were clearly discriminated in the first predictive t [ 1 ] component. The parameters calculated to assess the validity of the established models were the total amount of variation between and within the groups (R 2 Y and R 2 X) and the predictive ability of the models as determined by permutation test and seven-fold cross-validation (Q 2 ).…”
Section: Methodsmentioning
confidence: 99%
“…For the Nuclear Magnetic Resonance (NMR) Spectroscopy analysis, 540 µL of urine, thawed at room temperature and mixed, was added to 60 µL of saline buffer solution (KH 2 PO 4 , in 100% D 2 O containing 0.03% w/w TSP as chemical shift reference and 2 mM sodium azide, pH 7.4), and transferred into a 5mm NMR tube. 1 H-NMR spectra were acquired using a Bruker Avance III 600 Ascend NMR spectrometer (Bruker, Milan, Italy), operating at 600.13 MHz for 1H observation, equipped with a TCI cryoprobe (Triple Resonance inverse Cryoprobe) incorporating a z-axis gradient coil and automatic tuningmatching (ATM). Samples were loaded on a Bruker Automatic Sample Changer, interfaced with the IconNMR software (Bruker, Milan, Italy), and analyzed in automatic mode, setting a time delay of 5 min between sample injection and pre-acquisition calibrations for complete temperature equilibration (300 K).…”
Section: Urine Metabolomics By Nuclear Magnetic Resonance Spectroscopymentioning
confidence: 99%
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