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

• Main Authors: Sakda Khoomrung, Intawat Nookaew, Partho Sen, Thorunn A. Olafsdottir, Josefine Persson, Thomas Moritz, Peter Andersen, Ali M. Harandi, Jens Nielsen
• Other Authors: Göteborgs universitet, Institutionen för biomedicin
• Format: Article
• Published: 2020
• Subjects: Biochemistry, Genetics and Molecular Biology; Chemistry
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/50410
• Institution: Mahidol University

Copyright © 2019 American Chemical Society. 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. ©