Calculation of Compound Intake Levels Using Integrated Food Compound Databases and Food Intake Data

Area of Science:

• Nutritional Science
• Molecular Nutrition
• Dietary Epidemiology

Background:

• Mechanisms linking diet to disease remain largely unknown.
• Analyzing food at the molecular compound level offers potential new insights.
• Previous work integrated three food compound databases.

Purpose of the Study:

• To combine integrated food compound databases with food intake data.
• To estimate compound intake levels in patients.
• To evaluate the plausibility of these estimated intake levels.

Main Methods:

• Utilized food frequency questionnaire (FFQ) data from 135 adult inflammatory bowel disease (IBD) patients.
• Translated FFQ data into intake values for 770 compounds.
• Assessed plausibility by comparing calculated intake percentiles with population data and literature benchmarks.

Main Results:

• Calculated vitamin and mineral intake p50 values fell within the 5th to 90th percentile of Dutch population data.
• Intake ranges for fatty acids and polyphenols overlapped with literature values, though with some deviation.
• Deviations may be attributed to regional dietary variations and lack of standardized benchmarks.

Conclusions:

• The study provides plausible intake estimates for numerous dietary compounds using Dutch cohort data.
• This research establishes a foundation for further food-health investigations.
• The methodology enables analysis of diet at a molecular level for disease research.