Fecal Metabolites as Biomarkers for Predicting Food Intake by Healthy Adults.

ABSTRACT:

Background

The fecal metabolome is affected by diet and includes metabolites generated by human and microbial metabolism. Advances in -omics technologies and analytic approaches have allowed researchers to identify metabolites and better utilize large data sets to generate usable information. One promising aspect of these advancements is the ability to determine objective biomarkers of food intake.

Objectives

We aimed to utilize a multivariate, machine learning approach to identify metabolite biomarkers that accurately predict food intake.

Methods

Data were aggregated from 5 controlled feeding studies in adults that tested the impact of specific foods (almonds, avocados, broccoli, walnuts, barley, and oats) on the gastrointestinal microbiota. Fecal samples underwent G

SUBMITTER: Shinn LM 

PROVIDER: S-EPMC9840004 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature