Metabolic Profiling and Compound-Class Identification Reveal Alterations in Serum Triglyceride Levels in Mice Immunized with Human Vaccine Adjuvant Alum
Year: 2019
Type: article
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.
Source: Journal of Proteome Research
Institutions: Siriraj Hospital, Mahidol University, Chalmers University of Technology, University of Arkansas for Medical Sciences, University of Gothenburg, Swedish University of Agricultural Sciences, Statens Serum Institut, University of British Columbia, BC Children's Hospital Research Institute
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: U.S. Department of Health and Human Services, European Federation of Pharmaceutical Industries and Associations, European Commission, Novo Nordisk Fonden, Innovative Medicines Initiative, Faculty of Medicine Siriraj Hospital, Mahidol University, National Institute of General Medical Sciences, FP7 Ideas: European Research Council, FP7 Health
OpenAlex ID: W2980636944
