Metabolomics analysis using matrix-assisted diffusion-ordered spectroscopy (DOSY) and its application in acrylamide-induced cardiovascular toxicity.
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| Title: | Metabolomics analysis using matrix-assisted diffusion-ordered spectroscopy (DOSY) and its application in acrylamide-induced cardiovascular toxicity. |
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| Authors: | Wang, Zhi-Fan1 (AUTHOR), You, Yu-Lin1,2 (AUTHOR), Yang, Chun-Guo3 (AUTHOR), Zhang, Yan-Li4 (AUTHOR), Li, Fei-Fei5 (AUTHOR), Guo, Dong-Xiao6 (AUTHOR), Lin, Yong-Qiang6 (AUTHOR), Cui, Wei-Liang1,6 (AUTHOR) xinyao2002@126.com, Wang, Shu-Qi1,2 (AUTHOR) wangsq@sdu.edu.cn |
| Source: | Microchemical Journal. Jun2024, Vol. 201, pN.PAG-N.PAG. 1p. |
| Subjects: | Cardiotoxicity, Acrylamide, Metabolomics, Krebs cycle, Multivariate analysis, Energy metabolism, Separation (Technology) |
| Abstract: | [Display omitted] • Using 10 metabolites as models, PVP-assisted DOSY technique can achieve the best separation of such complex system. • The concentration and molecular weight of the matrix will affect the separation effect of the mixture. • The PVP-assisted DOSY metabolomics method was applied to study the serum metabolic phenotype and the mechanism of acrylamide (ACR)-exposed rats. Untargeted NMR-based metabolomics strategies are increasingly applied for metabolite screening in a wide variety of medical conditions. However, the identification of metabolites remains a great challenge in NMR metabolomics research. Here, we used matrix-assisted diffusion-ordered spectroscopy (DOSY) to identify new biomarkers in body fluids. DOSY-based metabolomics can exploit the unique strengths of NMR and, thanks to improvements in its resolution, can be successfully used to address a significantly wider range of biological issues. In this study, a metabolite model consisting of ten common metabolites was employed to optimize the matrix-assisted DOSY experimental parameters. Polyvinylpyrrolidone (PVP), a high-molecular-weight polymer, was found to be the most appropriate matrix with which to accomplish the separation of the mixture components. 1H NMR and PVP-assisted DOSY analyses were performed to characterize the metabolic profile of serum samples from acrylamide (ACR)-treated rats and study the mechanism of ACR-induced cardiovascular toxicity. Biomarker identification by 1H NMR and PVP-assisted DOSY yielded similar results. However, multivariate statistical analysis showed that, compared with 1H NMR, PVP-assisted DOSY achieved a better discrimination of the serum samples obtained from rats treated with different doses of ACR. A total of 11 differential metabolites were identified. An enrichment analysis of the metabolic pathways showed that, in rats treated with a high dose of ACR, the glutamate and glutathione metabolic pathways and the energy metabolism pathway of the tricarboxylic acid cycle were mainly affected. [ABSTRACT FROM AUTHOR] |
| Copyright of Microchemical Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 177352013 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Metabolomics analysis using matrix-assisted diffusion-ordered spectroscopy (DOSY) and its application in acrylamide-induced cardiovascular toxicity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Zhi-Fan%22">Wang, Zhi-Fan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22You%2C+Yu-Lin%22">You, Yu-Lin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Chun-Guo%22">Yang, Chun-Guo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yan-Li%22">Zhang, Yan-Li</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Fei-Fei%22">Li, Fei-Fei</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Dong-Xiao%22">Guo, Dong-Xiao</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Yong-Qiang%22">Lin, Yong-Qiang</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Wei-Liang%22">Cui, Wei-Liang</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<i> xinyao2002@126.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shu-Qi%22">Wang, Shu-Qi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> wangsq@sdu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Microchemical+Journal%22">Microchemical Journal</searchLink>. Jun2024, Vol. 201, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cardiotoxicity%22">Cardiotoxicity</searchLink><br /><searchLink fieldCode="DE" term="%22Acrylamide%22">Acrylamide</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolomics%22">Metabolomics</searchLink><br /><searchLink fieldCode="DE" term="%22Krebs+cycle%22">Krebs cycle</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+metabolism%22">Energy metabolism</searchLink><br /><searchLink fieldCode="DE" term="%22Separation+%28Technology%29%22">Separation (Technology)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] • Using 10 metabolites as models, PVP-assisted DOSY technique can achieve the best separation of such complex system. • The concentration and molecular weight of the matrix will affect the separation effect of the mixture. • The PVP-assisted DOSY metabolomics method was applied to study the serum metabolic phenotype and the mechanism of acrylamide (ACR)-exposed rats. Untargeted NMR-based metabolomics strategies are increasingly applied for metabolite screening in a wide variety of medical conditions. However, the identification of metabolites remains a great challenge in NMR metabolomics research. Here, we used matrix-assisted diffusion-ordered spectroscopy (DOSY) to identify new biomarkers in body fluids. DOSY-based metabolomics can exploit the unique strengths of NMR and, thanks to improvements in its resolution, can be successfully used to address a significantly wider range of biological issues. In this study, a metabolite model consisting of ten common metabolites was employed to optimize the matrix-assisted DOSY experimental parameters. Polyvinylpyrrolidone (PVP), a high-molecular-weight polymer, was found to be the most appropriate matrix with which to accomplish the separation of the mixture components. 1H NMR and PVP-assisted DOSY analyses were performed to characterize the metabolic profile of serum samples from acrylamide (ACR)-treated rats and study the mechanism of ACR-induced cardiovascular toxicity. Biomarker identification by 1H NMR and PVP-assisted DOSY yielded similar results. However, multivariate statistical analysis showed that, compared with 1H NMR, PVP-assisted DOSY achieved a better discrimination of the serum samples obtained from rats treated with different doses of ACR. A total of 11 differential metabolites were identified. An enrichment analysis of the metabolic pathways showed that, in rats treated with a high dose of ACR, the glutamate and glutathione metabolic pathways and the energy metabolism pathway of the tricarboxylic acid cycle were mainly affected. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Microchemical Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.microc.2024.110707 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Cardiotoxicity Type: general – SubjectFull: Acrylamide Type: general – SubjectFull: Metabolomics Type: general – SubjectFull: Krebs cycle Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Energy metabolism Type: general – SubjectFull: Separation (Technology) Type: general Titles: – TitleFull: Metabolomics analysis using matrix-assisted diffusion-ordered spectroscopy (DOSY) and its application in acrylamide-induced cardiovascular toxicity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Zhi-Fan – PersonEntity: Name: NameFull: You, Yu-Lin – PersonEntity: Name: NameFull: Yang, Chun-Guo – PersonEntity: Name: NameFull: Zhang, Yan-Li – PersonEntity: Name: NameFull: Li, Fei-Fei – PersonEntity: Name: NameFull: Guo, Dong-Xiao – PersonEntity: Name: NameFull: Lin, Yong-Qiang – PersonEntity: Name: NameFull: Cui, Wei-Liang – PersonEntity: Name: NameFull: Wang, Shu-Qi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0026265X Numbering: – Type: volume Value: 201 Titles: – TitleFull: Microchemical Journal Type: main |
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