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Assessment of individual metabolic response to a low‐calorie smoothie challenge using targeted metabolomics
Author(s) -
Legault J Thompson,
Tardif J,
Cherkaoui S,
Daneault C,
Frayne I Robillard,
Vaillancourt V T,
Aubut C,
Landry J,
Cyr D,
Waters P,
Morin C,
Laprise C,
Des Rosiers C,
Consortium LSFC
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.lb298
Subject(s) - calorie , postprandial , metabolomics , meal , metabolite , food science , nutrient , biology , physiology , biochemistry , endocrinology , bioinformatics , insulin , ecology
Assessing metabolic responsiveness to a standardized meal using metabolomics offers promise for identifying new interventions in metabolic diseases. However, previously tested meals appear to be too high in calories to be applicable to young patients with mitochondrial diseases, who often display a low nutrient handling capacity. This study assessed the metabolic response to a smoothie providing only 9% of daily calories (42% carbohydrate; 46% lipid; 12% protein). Plasma was collected from 4 healthy young adults before and 90 min after the smoothie and 111 metabolites reflecting normal (15 fatty acids; 12 amino acids) or dysregulated (58 organic acids, 25 acylcarnitines) nutrient metabolism were analyzed by mass spectrometry. Of all metabolites assessed, fatty acids displayed the greatest changes, but overall the average coefficient of variation (CV) for fold‐changes (26%) was smaller than inter‐individual CVs for absolute values assessed before and after the meal (40% for both). Principal component analysis revealed the consistency of the postprandial response within individuals, but clearly separated them from each other. This study shows the feasibility of measuring the metabolic response to a low calorie meal despite large inter‐individual variations. For future studies, it appears warranted to include additional metabolite classes, particularly lipids. Supp.: FRSQ & CIHR Emerging Team Grant.