Urinary Metabolite Profiling to Non-Invasively Monitor the Omega-3 Index: An Exploratory Secondary Analysis of a Randomized Clinical Trial in Young Adults

Author:

MacIntyre Brittany C.1ORCID,Shanmuganathan Meera2ORCID,Klingel Shannon L.1,Kroezen Zachary2ORCID,Helmeczi Erick2,Seoh Na-Yung2,Martinez Vanessa2ORCID,Chabowski Adrian3ORCID,Feng Zeny4,Britz-McKibbin Philip2ORCID,Mutch David M.1ORCID

Affiliation:

1. Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada

2. Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 3W3, Canada

3. Department of Physiology, Medical University of Bialystok, 15-222 Bialystok, Poland

4. Department of Mathematics & Statistics, University of Guelph, Guelph, ON N1G 2W1, Canada

Abstract

The Omega-3 Index (O3I) reflects eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) content in erythrocytes. While the O3I is associated with numerous health outcomes, its widespread use is limited. We investigated whether urinary metabolites could be used to non-invasively monitor the O3I in an exploratory analysis of a previous placebo-controlled, parallel arm randomized clinical trial in males and females (n = 88) who consumed either ~3 g/d olive oil (OO; control), EPA, or DHA for 12 weeks. Fasted blood and first-void urine samples were collected at baseline and following supplementation, and they were analyzed via gas chromatography and multisegment injection–capillary electrophoresis–mass spectrometry (MSI-CE-MS), respectively. We tentatively identified S-carboxypropylcysteamine (CPCA) as a novel urinary biomarker reflecting O3I status, which increased following both EPA and DHA (p < 0.001), but not OO supplementation, and was positively correlated to the O3I (R = 0.30, p < 0.001). Additionally, an unknown dianion increased following DHA supplementation, but not EPA or OO. In ROC curve analyses, CPCA outperformed all other urinary metabolites in distinguishing both between OO and EPA or DHA supplementation groups (AUC > 80.0%), whereas the unknown dianion performed best in discriminating OO from DHA alone (AUC = 93.6%). Candidate urinary biomarkers of the O3I were identified that lay the foundation for a non-invasive assessment of omega-3 status.

Funder

Natural Sciences and Engineering Research Council of Canada

Ontario Ministry of Agriculture, Food and Rural Affairs

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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