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Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry

BACKGROUND: Tick-borne encephalitis virus (TBEV), the most prevalent arbovirus, causes potentially fatal encephalitis in humans. Prevalent in northeast China, tick-borne encephalitis (TBE) poses a major threat to public health, local economies and tourism. There are no biomarkers for TBE, which is c...

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Autores principales: Zhang, Meng, Lu, DeSheng, Sun, Hui, Zheng, HaiJun, Cang, Ming, Du, YanDan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590985/
https://www.ncbi.nlm.nih.gov/pubmed/34785942
http://dx.doi.org/10.2147/IJGM.S331374
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author Zhang, Meng
Lu, DeSheng
Sun, Hui
Zheng, HaiJun
Cang, Ming
Du, YanDan
author_facet Zhang, Meng
Lu, DeSheng
Sun, Hui
Zheng, HaiJun
Cang, Ming
Du, YanDan
author_sort Zhang, Meng
collection PubMed
description BACKGROUND: Tick-borne encephalitis virus (TBEV), the most prevalent arbovirus, causes potentially fatal encephalitis in humans. Prevalent in northeast China, tick-borne encephalitis (TBE) poses a major threat to public health, local economies and tourism. There are no biomarkers for TBE, which is classified serologically and clinically. Due to sample heterogeneity of samples and different detection platforms, obtaining stable markers is a great challenge for metabolomics. Accurate annotation is vital for data mining and interpretation. OBJECTIVE: To identify reliable biomarkers of TBEV infection. METHODS: An untargeted metabolomics analysis of serum from 30 TBE patients and 30 healthy controls was carried out. Liquid chromatography–mass spectrometry (LC-MS)-based metabolomics methods were used to characterize the subjects’ serum metabolic profiles and to screen and validate TBE biomarkers. RESULTS: A total of 3370 molecular features were extracted from each sample, and the peak intensity of each feature was obtained. Pattern analysis, principal component analysis, partial least squares discriminant analysis were used to screen for potential metabolites. Bilirubin, LysoPC (18:1[9Z]), palmitic acid, and CL (8:0/8:0/8:0/8:0) were significantly different. Pathway enrichment analysis showed that these metabolites were in the fatty acid biosynthesis and glycerophospholipid metabolism pathways. The phospholipid family had a significant difference in both the difference ratio and the abundance. CONCLUSION: Phospholipids may be used to distinguish TBEV patients from healthy controls. TBEV infection affects the normal metabolic activity of host cells, providing insight into the pathogenesis of TBE.
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spelling pubmed-85909852021-11-15 Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry Zhang, Meng Lu, DeSheng Sun, Hui Zheng, HaiJun Cang, Ming Du, YanDan Int J Gen Med Original Research BACKGROUND: Tick-borne encephalitis virus (TBEV), the most prevalent arbovirus, causes potentially fatal encephalitis in humans. Prevalent in northeast China, tick-borne encephalitis (TBE) poses a major threat to public health, local economies and tourism. There are no biomarkers for TBE, which is classified serologically and clinically. Due to sample heterogeneity of samples and different detection platforms, obtaining stable markers is a great challenge for metabolomics. Accurate annotation is vital for data mining and interpretation. OBJECTIVE: To identify reliable biomarkers of TBEV infection. METHODS: An untargeted metabolomics analysis of serum from 30 TBE patients and 30 healthy controls was carried out. Liquid chromatography–mass spectrometry (LC-MS)-based metabolomics methods were used to characterize the subjects’ serum metabolic profiles and to screen and validate TBE biomarkers. RESULTS: A total of 3370 molecular features were extracted from each sample, and the peak intensity of each feature was obtained. Pattern analysis, principal component analysis, partial least squares discriminant analysis were used to screen for potential metabolites. Bilirubin, LysoPC (18:1[9Z]), palmitic acid, and CL (8:0/8:0/8:0/8:0) were significantly different. Pathway enrichment analysis showed that these metabolites were in the fatty acid biosynthesis and glycerophospholipid metabolism pathways. The phospholipid family had a significant difference in both the difference ratio and the abundance. CONCLUSION: Phospholipids may be used to distinguish TBEV patients from healthy controls. TBEV infection affects the normal metabolic activity of host cells, providing insight into the pathogenesis of TBE. Dove 2021-11-10 /pmc/articles/PMC8590985/ /pubmed/34785942 http://dx.doi.org/10.2147/IJGM.S331374 Text en © 2021 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhang, Meng
Lu, DeSheng
Sun, Hui
Zheng, HaiJun
Cang, Ming
Du, YanDan
Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title_full Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title_fullStr Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title_full_unstemmed Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title_short Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry
title_sort serum metabolomics of tick-borne encephalitis based on orbitrap-mass spectrometry
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590985/
https://www.ncbi.nlm.nih.gov/pubmed/34785942
http://dx.doi.org/10.2147/IJGM.S331374
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