Untargeted serum metabolomics analysis of Trichinella spiralis-infected mouse
Issued Date
2023-02-01
Resource Type
ISSN
19352727
eISSN
19352735
Scopus ID
2-s2.0-85148678705
Pubmed ID
36809241
Journal Title
PLoS Neglected Tropical Diseases
Volume
17
Issue
2
Rights Holder(s)
SCOPUS
Bibliographic Citation
PLoS Neglected Tropical Diseases Vol.17 No.2 (2023)
Suggested Citation
Chienwichai P., Thiangtrongjit T., Tipthara P., Tarning J., Adisakwattana P., Reamtong O. Untargeted serum metabolomics analysis of Trichinella spiralis-infected mouse. PLoS Neglected Tropical Diseases Vol.17 No.2 (2023). doi:10.1371/journal.pntd.0011119 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82415
Title
Untargeted serum metabolomics analysis of Trichinella spiralis-infected mouse
Other Contributor(s)
Abstract
Background Trichinellosis, caused by a parasitic nematode of the genus Trichinella, is a zoonosis that affects people worldwide. After ingesting raw meat containing Trichinella spp. larvae, patients show signs of myalgia, headaches, and facial and periorbital edema, and severe cases may die from myocarditis and heart failure. The molecular mechanisms of trichinello-sis are unclear, and the sensitivity of the diagnostic methods used for this disease are unsat-isfactory. Metabolomics is an excellent tool for studying disease progression and biomarkers; however, it has never been applied to trichinellosis. We aimed to elucidate the impacts of Trichinella infection on the host body and identify potential biomarkers using metabolomics. Methodology/Principal findings Mice were infected with T. spiralis larvae, and sera were collected before and 2, 4, and 8 weeks after infection. Metabolites in the sera were extracted and identified using untar-geted mass spectrometry. Metabolomic data were annotated via the XCMS online plat-form and analyzed with Metaboanalyst version 5.0. A total of 10,221 metabolomic features were identified, and the levels of 566, 330, and 418 features were significantly changed at 2-, 4-, and 8-weeks post-infection, respectively. The altered metabolites were used for further pathway analysis and biomarker selection. A major pathway affected by Trichinella infection was glycerophospholipid metabolism, and glycerophospholipids comprised the main metabolite class identified. Receiver operating characteristic revealed 244 molecules with diagnostic power for trichinellosis, with phosphatidylserines (PS) being the primary lipid class. Some lipid molecules, e.g., PS (18:0/19:0)[U] and PA (O-16:0/21:0), were not present in metabolome databases of humans and mice, thus they may have been secreted by the parasites. Conclusions/Significance Our study highlighted glycerophospholipid metabolism as the major pathway affected by tri-chinellosis, hence glycerophospholipid species are potential markers of trichinellosis. The findings of this study represent the initial steps in biomarker discovery that may benefit future trichinellosis diagnosis.