Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage
Intracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke. However, little is known about the effects of the gut microbio...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Cellular and Infection Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2022.999627/full |
| _version_ | 1797979455907430400 |
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| author | Lei Chen Sai Wang Yupeng Zhang Ye Li Xiangbin Zhang Junyi Ma Xuelun Zou TianXing Yao Si Li Junyou Chen Huifang Zhou Lianxu Wu Yanhong Zhou Le Zhang |
| author_facet | Lei Chen Sai Wang Yupeng Zhang Ye Li Xiangbin Zhang Junyi Ma Xuelun Zou TianXing Yao Si Li Junyou Chen Huifang Zhou Lianxu Wu Yanhong Zhou Le Zhang |
| author_sort | Lei Chen |
| collection | DOAJ |
| description | Intracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke. However, little is known about the effects of the gut microbiome on ICH and host metabolic activity. Therefore, we used 16S sequencing, macrogenomics sequencing and untargeted metabolomics to explore the differences in gut microbial-metabolome interactions between patients with intracerebral hemorrhage and healthy control populations. We found a significant decrease in the phylum of Firmicutes and a significant increase of Bacteroidetes in ICH patients. At the genus level, Streptococcus, Bifidobacterium, Akkermansia, and Lactobacillus were more abundant in ICH patients. Macrogenomic analysis revealed active glycosaminoglycan degradation, heme synthesis, galactose degradation, lipopolysaccharide core region synthesis, and beta-Lactam resistance in ICH patients. Serum untargeted metabolomic analysis combined with ROC curves showed that octanoylcarnitine, decanoylcarnitine, dodecanoylcarnitine, glyceric acid, pyruvic acid, aspartic acid, methylcysteine, pyroglutamic acid, 9E-tetradecenoic acid, N-Acetylneuraminic acid, and aconitic acid were the best markers for the diagnosis of ICH. Correlation analysis showed that microbiome enriched in the gut of ICH patients were significantly correlated with serum metabolites, revealing a close correlation between the gut microbiome of ICH patients and the host metabolome, and significant differences from the healthy population. microbiota-host co-metabolites including pyruvic acid and 9E-tetradecenoic acid is associated with the the National Institutes of Health Stroke Scale (NIHSS) scores. In conclusion, microbiome-related metabolites in ICH patients was associated with the severity of ICH, the microbiota-host co-metabolites may be a potential may be potential therapeutic targets. |
| first_indexed | 2024-04-11T05:40:15Z |
| format | Article |
| id | doaj.art-8ce17be248364d28a9a94737f0e4e6a8 |
| institution | Directory Open Access Journal |
| issn | 2235-2988 |
| language | English |
| last_indexed | 2024-04-11T05:40:15Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj.art-8ce17be248364d28a9a94737f0e4e6a82022-12-22T05:38:01ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882022-12-011210.3389/fcimb.2022.999627999627Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhageLei Chen0Sai Wang1Yupeng Zhang2Ye Li3Xiangbin Zhang4Junyi Ma5Xuelun Zou6TianXing Yao7Si Li8Junyou Chen9Huifang Zhou10Lianxu Wu11Yanhong Zhou12Le Zhang13Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaCancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, ChinaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaIntracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke. However, little is known about the effects of the gut microbiome on ICH and host metabolic activity. Therefore, we used 16S sequencing, macrogenomics sequencing and untargeted metabolomics to explore the differences in gut microbial-metabolome interactions between patients with intracerebral hemorrhage and healthy control populations. We found a significant decrease in the phylum of Firmicutes and a significant increase of Bacteroidetes in ICH patients. At the genus level, Streptococcus, Bifidobacterium, Akkermansia, and Lactobacillus were more abundant in ICH patients. Macrogenomic analysis revealed active glycosaminoglycan degradation, heme synthesis, galactose degradation, lipopolysaccharide core region synthesis, and beta-Lactam resistance in ICH patients. Serum untargeted metabolomic analysis combined with ROC curves showed that octanoylcarnitine, decanoylcarnitine, dodecanoylcarnitine, glyceric acid, pyruvic acid, aspartic acid, methylcysteine, pyroglutamic acid, 9E-tetradecenoic acid, N-Acetylneuraminic acid, and aconitic acid were the best markers for the diagnosis of ICH. Correlation analysis showed that microbiome enriched in the gut of ICH patients were significantly correlated with serum metabolites, revealing a close correlation between the gut microbiome of ICH patients and the host metabolome, and significant differences from the healthy population. microbiota-host co-metabolites including pyruvic acid and 9E-tetradecenoic acid is associated with the the National Institutes of Health Stroke Scale (NIHSS) scores. In conclusion, microbiome-related metabolites in ICH patients was associated with the severity of ICH, the microbiota-host co-metabolites may be a potential may be potential therapeutic targets.https://www.frontiersin.org/articles/10.3389/fcimb.2022.999627/fullintracerebral hemorrhagegut microbiomemetagenomicmetabolomicsmetabolites |
| spellingShingle | Lei Chen Sai Wang Yupeng Zhang Ye Li Xiangbin Zhang Junyi Ma Xuelun Zou TianXing Yao Si Li Junyou Chen Huifang Zhou Lianxu Wu Yanhong Zhou Le Zhang Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage Frontiers in Cellular and Infection Microbiology intracerebral hemorrhage gut microbiome metagenomic metabolomics metabolites |
| title | Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage |
| title_full | Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage |
| title_fullStr | Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage |
| title_full_unstemmed | Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage |
| title_short | Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage |
| title_sort | multi omics reveals specific host metabolism microbiome associations in intracerebral hemorrhage |
| topic | intracerebral hemorrhage gut microbiome metagenomic metabolomics metabolites |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2022.999627/full |
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