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Metabolic phenotypes are the products of interactions among a variety of factors-dietary, other lifestyle/environmental, gut microbial and genetic. We use a large-scale exploratory analytical approach to investigate metabolic phenotype variation across and within four human populations, based on 1H NMR spectroscopy. Metabolites discriminating across(More)
BACKGROUND Obesity is rising at an alarming rate globally. Different fermentable carbohydrates have been shown to reduce obesity. The aim of the present study was to investigate if two different fermentable carbohydrates (inulin and β-glucan) exert similar effects on body composition and central appetite regulation in high fat fed mice. (More)
BACKGROUND Services provided by community pharmacists designed to support people using medicines are increasing. In England, two national services exist: Medicine Use Reviews (MUR) and New Medicines Service (NMS). Very few studies have been conducted seeking views of the public, rather than service users, on willingness to use these services or expectations(More)
An ultra-performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-qTOF-MS) method using hydrophilic interaction liquid chromatography was developed and validated for simultaneous quantification of 18 free amino acids in urine with a total acquisition time including the column re-equilibration of less than 18 min per sample. This(More)
We propose a novel statistical approach to improve the reliability of 1 H NMR spectral analysis in complex metabolic studies. The Statistical HOmogeneous Cluster Spec-troscopY (SHOCSY) algorithm aims to reduce the variation within biological classes by selecting subsets of homogeneous 1 H NMR spectra that contain specific spectroscopic metabolic signatures(More)
BACKGROUND Public awareness of pharmacy services designed to support the use of medicines is low, yet little is known about how the public view promotion of these services, or their preferences for the attributes of pharmacies from which they would like to receive them. OBJECTIVE To compare the public's preferred attributes of pharmacies and methods for(More)
We propose a novel statistical approach to improve the reliability of (1)H NMR spectral analysis in complex metabolic studies. The Statistical HOmogeneous Cluster SpectroscopY (SHOCSY) algorithm aims to reduce the variation within biological classes by selecting subsets of homogeneous (1)H NMR spectra that contain specific spectroscopic metabolic signatures(More)
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