Peer-Reviewed Journal Details
Mandatory Fields
Prendiville, Orla; Walton, Janette; Flynn, Albert; Nugent, Anne P.; McNulty, Breige A.; Brennan, Lorraine
2021
April
Molecular Nutrition & Food Research
Classifying individuals into a dietary pattern based on metabolomic data
Validated
Optional Fields
Biomarkers Dietary patterns Metabolomics Reproducibility
The objectives are to develop a metabolomic-based model capable of classifying individuals into dietary patterns and to investigate the reproducibility of the model. K-means cluster analysis was employed to derive dietary patterns using metabolomic data. Differences across the dietary patterns were examined using nutrient biomarkers. The model was used to assign individuals to a dietary pattern in an independent cohort, A-DIET Confirm (n = 175) at four time points. The stability of participants to a dietary pattern was assessed. Four dietary patterns were derived: Moderately Unhealthy, Convenience, Moderately Healthy and Prudent. The Moderately Unhealthy and Convenience patterns had lower adherence to the Alternative Healthy Eating Index (AHEI) and the Alternative Mediterranean Diet Score (AMDS) compared to the Moderately Healthy and Prudent patterns (AHEI = 24.5 and 22.9 versus 26.7 and 28.4, p < 0.001). The dietary patterns were replicated in A-DIET Confirm, with good reproducibility across four time points. The stability of participants' dietary pattern membership ranged from 25.0-61.5%. The multivariate model classified individuals into dietary patterns based on metabolomic data. In an independent cohort, the model classified individuals into dietary patterns at multiple time points furthering the potential of such an approach for nutrition research.
1613-4133
10.1002/mnfr.202001183
Grant Details