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PubMed:24444418 JSONTXT 41 Projects

Annnotations TAB TSV DIC JSON TextAE Lectin_function IAV-Glycan

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-91 Sentence denotes Untargeted metabolomics as a screening tool for estimating compliance to a dietary pattern.
T1 0-91 Sentence denotes Untargeted metabolomics as a screening tool for estimating compliance to a dietary pattern.
TextSentencer_T2 92-173 Sentence denotes There is a growing interest in studying the nutritional effects of complex diets.
T2 92-173 Sentence denotes There is a growing interest in studying the nutritional effects of complex diets.
TextSentencer_T3 174-329 Sentence denotes For such studies, measurement of dietary compliance is a challenge because the currently available compliance markers cover only limited aspects of a diet.
T3 174-329 Sentence denotes For such studies, measurement of dietary compliance is a challenge because the currently available compliance markers cover only limited aspects of a diet.
TextSentencer_T4 330-482 Sentence denotes In the present study, an untargeted metabolomics approach was used to develop a compliance measure in urine to distinguish between two dietary patterns.
T4 330-482 Sentence denotes In the present study, an untargeted metabolomics approach was used to develop a compliance measure in urine to distinguish between two dietary patterns.
TextSentencer_T5 483-657 Sentence denotes A parallel intervention study was carried out in which 181 participants were randomized to follow either a New Nordic Diet (NND) or an Average Danish Diet (ADD) for 6 months.
T5 483-657 Sentence denotes A parallel intervention study was carried out in which 181 participants were randomized to follow either a New Nordic Diet (NND) or an Average Danish Diet (ADD) for 6 months.
TextSentencer_T6 658-830 Sentence denotes Dietary intakes were closely monitored over the whole study period, and 24 h urine samples as well as weighed dietary records were collected several times during the study.
T6 658-830 Sentence denotes Dietary intakes were closely monitored over the whole study period, and 24 h urine samples as well as weighed dietary records were collected several times during the study.
TextSentencer_T7 831-1032 Sentence denotes The urine samples were analyzed by UPLC-qTOF-MS, and a partial least-squares discriminant analysis with feature selection was applied to develop a compliance model based on data from 214 urine samples.
T7 831-1032 Sentence denotes The urine samples were analyzed by UPLC-qTOF-MS, and a partial least-squares discriminant analysis with feature selection was applied to develop a compliance model based on data from 214 urine samples.
TextSentencer_T8 1033-1160 Sentence denotes The optimized model included 52 metabolites and had a misclassification rate of 19% in a validation set containing 139 samples.
T8 1033-1160 Sentence denotes The optimized model included 52 metabolites and had a misclassification rate of 19% in a validation set containing 139 samples.
TextSentencer_T9 1161-1402 Sentence denotes The metabolites identified in the model were markers of individual foods such as citrus, cocoa-containing products, and fish as well as more general dietary traits such as high fruit and vegetable intake or high intake of heat-treated foods.
T9 1161-1402 Sentence denotes The metabolites identified in the model were markers of individual foods such as citrus, cocoa-containing products, and fish as well as more general dietary traits such as high fruit and vegetable intake or high intake of heat-treated foods.
TextSentencer_T10 1403-1585 Sentence denotes It was easier to classify the ADD diet than the NND diet probably due to seasonal variation in the food composition of NND and indications of lower compliance among the NND subjects.
T10 1403-1585 Sentence denotes It was easier to classify the ADD diet than the NND diet probably due to seasonal variation in the food composition of NND and indications of lower compliance among the NND subjects.
TextSentencer_T11 1586-1752 Sentence denotes In conclusion, untargeted metabolomics is a promising approach to develop compliance measures that cover the most important discriminant metabolites of complex diets.
T11 1586-1752 Sentence denotes In conclusion, untargeted metabolomics is a promising approach to develop compliance measures that cover the most important discriminant metabolites of complex diets.