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Metabolic Profiling and Compound-Class Identification Reveal Alterations in Serum Triglyceride Levels in Mice Immunized with Human Vaccine Adjuvant Alum.

Journal article
Authors Sakda Khoomrung
Intawat Nookaew
Partho Sen
Thorunn A Olafsdottir
Josefine Persson
Thomas Moritz
Ali M Harandi
Jens Nielsen
Published in Journal of proteome research
Volume 19
Issue 1
Pages 269-278
ISSN 1535-3907
Publication year 2020
Published at Institute of Biomedicine, Department of Microbiology and Immunology
Pages 269-278
Language en
Links dx.doi.org/10.1021/acs.jproteome.9b...
www.ncbi.nlm.nih.gov/entrez/query.f...
Subject categories Immunobiology, Immunology

Abstract

Alum has been widely used as an adjuvant for human vaccines; however, the impact of Alum on host metabolism remains largely unknown. Herein, we applied mass spectrometry (MS) (liquid chromatography-MS)-based metabolic and lipid profiling to monitor the effects of the Alum adjuvant on mouse serum at 6, 24, 72, and 168 h post-vaccination. We propose a new strategy termed subclass identification and annotation for metabolomics for class-wise identification of untargeted metabolomics data generated from high-resolution MS. Using this approach, we identified and validated the levels of several lipids in mouse serum that were significantly altered following Alum administration. These lipids showed a biphasic response even 168 h after vaccination. The majority of the lipids were triglycerides (TAGs), where TAGs with long-chain unsaturated fatty acids (FAs) decreased at 24 h and TAGs with short-chain FAs decreased at 168 h. To our knowledge, this is the first report on the impact of human vaccine adjuvant Alum on the host metabolome, which may provide new insights into the mechanism of action of Alum.

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