Manuela J. Rist

TL;DR: It is shown that physiological challenges increased interindividual variation even in phenotypically similar volunteers, revealing metabotypes not observable in baseline metabolite profiles; volunteer‐specific metabolite concentrations were consistently reflected in various biofluids; and readouts from a systematic model of β‐oxidation showed significant and stronger associations with physiological parameters than absolute metabolite concentration.

TL;DR: A methodological description of nutritional metabolomics is provided that reflects on the state-of-the-art techniques used in the laboratories of the Food Biomarker Alliance as well as points of reflections to harmonize this field.

TL;DR: The metabolite profile of human urine and plasma allows the prediction of sex and age with high accuracy, which means thatsex and age are associated with a discriminatory metabolite signature in healthy humans and therefore should always be considered in metabolomics studies.

TL;DR: Meat and fish consumption differentially affects TMAO concentrations in body fluids, and only a small fraction of variance is explained by current diet.

TL;DR: It is concluded that age and sex are associated with the fasting plasma concentrations of BA, and those associations are significant and need to be considered in studies investigating the role of BA in the human metabolism.