Fecal Metagenomics to Identify Biomarkers of Food Intake in Healthy Adults: Findings from Randomized, Controlled, Nutrition Trials

Keyphrases

• Healthy Adults 100%
• Metagenomics 100%
• Food Intake 100%
• Walnut 100%
• Almond 100%
• Broccoli 100%
• Nutritional Biomarkers 100%
• Differentially Abundant 66%
• Deoxyribonucleic Acid 33%
• Genome Analysis 33%
• Genome Sequencing 33%
• Metabolomics 33%
• Gastrointestinal Tract 33%
• Microorganisms 33%
• Clinical Setting 33%
• Treatment Group 33%
• Functional Capacity 33%
• Computationally Intensive 33%
• Next-generation Sequencing Data 33%
• Machine Learning Approach 33%
• Self-report Measures 33%
• Classification Accuracy 33%
• Gastrointestinal Microbiome 33%
• Orthology 33%
• Fecal Samples 33%
• Potential Biomarkers 33%
• Change Ratio 33%
• Gunshot 33%
• Barley 33%
• Feeding Pattern 33%
• Random Forest 33%
• Human Diet 33%
• Food Model 33%
• Metagenome 33%
• Food Groups 33%
• Kyoto Encyclopedia of Genes 33%
• Feeding Experiment 33%
• Machine Learning Models 33%
• Dietary Patterns 33%
• Individual Impact 33%
• Random Forest Regression 33%
• Metagenomic Data 33%
• Avocado 33%
• Control Arm 33%
• Differential Abundance Analysis 33%
• Controlled Feeding Study 33%
• Objective Biomarker 33%
• Mixed Food 33%
• Doubling Index 33%
• Count Normalization 33%

Food Science

• Nutrition 100%
• Food Intake 100%
• Feeding Behavior 40%
• Food Group 20%
• Model Food 20%
• Avocado 20%