TY - JOUR
T1 - UHPLC-MS-Based Metabolomics Analysis Reveals the Process of Schistosomiasis in Mice
AU - Huang, Yuzheng
AU - Wu, Qiong
AU - Zhao, Liang
AU - Xiong, Chunrong
AU - Xu, Yongliang
AU - Dong, Xin
AU - Wen, Yan
AU - Cao, Jun
N1 - Funding Information:
Funding. This study was supported by the Natural Science Foundation of China (Grant Nos. 81673673 and 31201893), Funding of Wuxi Science and Technology development (WX0302B010504180001PB), Project of Public Health Research Center of Jiangnan University (Grant No. JUPH201811); the Jiangsu Provincial Department of Science and Technology No. BM2018020; the Jiangsu Provincial Department of Science and Technology (BE2016631 and BM2015024). The Special Program of Jiangsu Clinical Medicine (Grant No. BL2014020), the Jiangsu Health International Exchange Program to YH and the Project of Invigorating Health Care through Science, Technology and Education No. ZDXKA2016016. The funders had no role in study design, data collection, management, analysis and interpretation, decision to publish, or in the preparation, review or approval of this manuscript.
Publisher Copyright:
© Copyright © 2020 Huang, Wu, Zhao, Xiong, Xu, Dong, Wen and Cao.
PY - 2020/7/14
Y1 - 2020/7/14
N2 - Metabolomics, as an emerging technology, has been demonstrated to be a very powerful tool in the study of the host metabolic responses to infections by parasites. Schistosomiasis is a parasitic infection caused by schistosoma worm via the direct contact with the water containing cercaria, among which Schistosoma japonicum (S. japonicum) is endemic in Asia. In order to characterize the schistosome-induced changes in the host metabolism and further to develop the strategy for early diagnosis of schistosomiasis, we performed comprehensive LC-MS-based metabolomics analysis of serum from mice infected by S. japonicum for 5 weeks. With the developed diagnosis strategy based on our metabolomics data, we were able to successfully detect schistosomiasis at the first week post-infection, which was 3 weeks earlier than “gold standard” methods and 2 weeks earlier than the methods based on 1H NMR spectroscopy. Our metabolomics study revealed that S. japonicum infection induced the metabolic changes involved in a variety of metabolic pathways including amino acid metabolism, DNA and RNA biosynthesis, phospholipid metabolism, depression of energy metabolism, glucose uptake and metabolism, and disruption of gut microbiota metabolism. In addition, we identified seventeen specific metabolites whose down-regulated profiles were closely correlated with the time-course of schistosomiasis progression and can also be used as an indicator for the worm-burdens. Interestingly, the decrease of these seventeen metabolites was particularly remarkable at the first week post-infection. Thus, our findings on mechanisms of host-parasite interaction during the disease process pave the way for the development of an early diagnosis tool and provide more insightful understandings of the potential metabolic process associated with schistosomiasis in mice. Furthermore, the diagnosis strategy developed in this work is cost-effective and is superior to other currently used diagnosis methods.
AB - Metabolomics, as an emerging technology, has been demonstrated to be a very powerful tool in the study of the host metabolic responses to infections by parasites. Schistosomiasis is a parasitic infection caused by schistosoma worm via the direct contact with the water containing cercaria, among which Schistosoma japonicum (S. japonicum) is endemic in Asia. In order to characterize the schistosome-induced changes in the host metabolism and further to develop the strategy for early diagnosis of schistosomiasis, we performed comprehensive LC-MS-based metabolomics analysis of serum from mice infected by S. japonicum for 5 weeks. With the developed diagnosis strategy based on our metabolomics data, we were able to successfully detect schistosomiasis at the first week post-infection, which was 3 weeks earlier than “gold standard” methods and 2 weeks earlier than the methods based on 1H NMR spectroscopy. Our metabolomics study revealed that S. japonicum infection induced the metabolic changes involved in a variety of metabolic pathways including amino acid metabolism, DNA and RNA biosynthesis, phospholipid metabolism, depression of energy metabolism, glucose uptake and metabolism, and disruption of gut microbiota metabolism. In addition, we identified seventeen specific metabolites whose down-regulated profiles were closely correlated with the time-course of schistosomiasis progression and can also be used as an indicator for the worm-burdens. Interestingly, the decrease of these seventeen metabolites was particularly remarkable at the first week post-infection. Thus, our findings on mechanisms of host-parasite interaction during the disease process pave the way for the development of an early diagnosis tool and provide more insightful understandings of the potential metabolic process associated with schistosomiasis in mice. Furthermore, the diagnosis strategy developed in this work is cost-effective and is superior to other currently used diagnosis methods.
KW - UHPLC-MS
KW - early diagnosis
KW - metabolomics
KW - schistosomiasis
KW - serum
UR - http://www.scopus.com/inward/record.url?scp=85088806893&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088806893&partnerID=8YFLogxK
U2 - 10.3389/fmicb.2020.01517
DO - 10.3389/fmicb.2020.01517
M3 - Article
C2 - 32760365
AN - SCOPUS:85088806893
SN - 1664-302X
VL - 11
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
M1 - 1517
ER -