Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside
BackgroundParkinson’s disease (PD) is a multifactorial degenerative disease of the central nervous system, which affects mostly older adults. To date, research has focused on the progression of PD. Simultaneously, it was confirmed that the imbalances in gut microbiota are associated with the onset a...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-04-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.877078/full |
| _version_ | 1828371576223956992 |
|---|---|
| author | Wang Wang Guoxue Zhu Yuwen Wang Wei Li Shilin Yi Kai Wang Lu Fan Juanjuan Tang Ruini Chen |
| author_facet | Wang Wang Guoxue Zhu Yuwen Wang Wei Li Shilin Yi Kai Wang Lu Fan Juanjuan Tang Ruini Chen |
| author_sort | Wang Wang |
| collection | DOAJ |
| description | BackgroundParkinson’s disease (PD) is a multifactorial degenerative disease of the central nervous system, which affects mostly older adults. To date, research has focused on the progression of PD. Simultaneously, it was confirmed that the imbalances in gut microbiota are associated with the onset and progression of PD. Accurate diagnosis and precise treatment of PD are currently deficient due to the absence of effective biomarkers.MethodsIn this study, the pharmacodynamic study of cyanidin-3-O-glucoside in PD mice was used. It intends to use the “imbalance” and “balance” of intestinal microecology as the starting point to investigate the “gut-to-brain” hypothesis using metabolomic-combined 16S rRNA gene sequencing methods. Simultaneously, metabolomic analysis was implemented to acquire differential metabolites, and microbiome analysis was performed to analyze the composition and filter the remarkably altered gut microbiota at the phylum/genera level. Afterward, metabolic pathway and functional prediction analysis of the screened differential metabolites and gut microbiota were applied using the MetaboAnalyst database. In addition, Pearson’s correlation analysis was used for the differential metabolites and gut microbiota. We found that cyanidin-3-O-glucoside could protect 1-methyl-4-phenyl-1,2,3,6− tetrahydropy ridine (MPTP)-induced PD mice.ResultsMetabolomic analysis showed that MPTP-induced dysbiosis of the gut microbiota significantly altered sixty-seven metabolites. The present studies have also shown that MPTP-induced PD is related to lipid metabolism, amino acid metabolism, and so on. The 16S rRNA sequencing analysis indicated that 5 phyla and 22 genera were significantly altered. Furthermore, the differential gut microbiota was interrelated with amino acid metabolism, and so on. The metabolites and gut microbiota network diagram revealed significant correlations between 11 genera and 8 differential metabolites.ConclusionIn combination, this study offers potential molecular biomarkers that should be validated for future translation into clinical applications for more accurately diagnosing PD. Simultaneously, the results of this study lay a basis for further study of the association between host metabolisms, gut microbiota, and PD. |
| first_indexed | 2024-04-14T06:51:31Z |
| format | Article |
| id | doaj.art-7f20832c77614ad3bd872930c70d1b38 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-14T06:51:31Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-7f20832c77614ad3bd872930c70d1b382022-12-22T02:07:01ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-04-011410.3389/fnagi.2022.877078877078Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-GlucosideWang Wang0Guoxue Zhu1Yuwen Wang2Wei Li3Shilin Yi4Kai Wang5Lu Fan6Juanjuan Tang7Ruini Chen8School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaNanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaThe Sixth Outpatient Department, Jinling Hospital, Nanjing, ChinaCollege of Traditional Chinese Medicine, College of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaBackgroundParkinson’s disease (PD) is a multifactorial degenerative disease of the central nervous system, which affects mostly older adults. To date, research has focused on the progression of PD. Simultaneously, it was confirmed that the imbalances in gut microbiota are associated with the onset and progression of PD. Accurate diagnosis and precise treatment of PD are currently deficient due to the absence of effective biomarkers.MethodsIn this study, the pharmacodynamic study of cyanidin-3-O-glucoside in PD mice was used. It intends to use the “imbalance” and “balance” of intestinal microecology as the starting point to investigate the “gut-to-brain” hypothesis using metabolomic-combined 16S rRNA gene sequencing methods. Simultaneously, metabolomic analysis was implemented to acquire differential metabolites, and microbiome analysis was performed to analyze the composition and filter the remarkably altered gut microbiota at the phylum/genera level. Afterward, metabolic pathway and functional prediction analysis of the screened differential metabolites and gut microbiota were applied using the MetaboAnalyst database. In addition, Pearson’s correlation analysis was used for the differential metabolites and gut microbiota. We found that cyanidin-3-O-glucoside could protect 1-methyl-4-phenyl-1,2,3,6− tetrahydropy ridine (MPTP)-induced PD mice.ResultsMetabolomic analysis showed that MPTP-induced dysbiosis of the gut microbiota significantly altered sixty-seven metabolites. The present studies have also shown that MPTP-induced PD is related to lipid metabolism, amino acid metabolism, and so on. The 16S rRNA sequencing analysis indicated that 5 phyla and 22 genera were significantly altered. Furthermore, the differential gut microbiota was interrelated with amino acid metabolism, and so on. The metabolites and gut microbiota network diagram revealed significant correlations between 11 genera and 8 differential metabolites.ConclusionIn combination, this study offers potential molecular biomarkers that should be validated for future translation into clinical applications for more accurately diagnosing PD. Simultaneously, the results of this study lay a basis for further study of the association between host metabolisms, gut microbiota, and PD.https://www.frontiersin.org/articles/10.3389/fnagi.2022.877078/fullParkinson’s diseasecyanidin-3-O-glucosidemetabolomicsmicrobiomePearson’s correlation analysis |
| spellingShingle | Wang Wang Guoxue Zhu Yuwen Wang Wei Li Shilin Yi Kai Wang Lu Fan Juanjuan Tang Ruini Chen Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside Frontiers in Aging Neuroscience Parkinson’s disease cyanidin-3-O-glucoside metabolomics microbiome Pearson’s correlation analysis |
| title | Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside |
| title_full | Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside |
| title_fullStr | Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside |
| title_full_unstemmed | Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside |
| title_short | Multi-Omics Integration in Mice With Parkinson’s Disease and the Intervention Effect of Cyanidin-3-O-Glucoside |
| title_sort | multi omics integration in mice with parkinson s disease and the intervention effect of cyanidin 3 o glucoside |
| topic | Parkinson’s disease cyanidin-3-O-glucoside metabolomics microbiome Pearson’s correlation analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.877078/full |
| work_keys_str_mv | AT wangwang multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT guoxuezhu multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT yuwenwang multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT weili multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT shilinyi multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT kaiwang multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT lufan multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT juanjuantang multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside AT ruinichen multiomicsintegrationinmicewithparkinsonsdiseaseandtheinterventioneffectofcyanidin3oglucoside |