Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage

• Published in: Frontiers in cellular and infection microbiology Vol. 12; p. 999627
• Main Authors: Chen, Lei, Wang, Sai, Zhang, Yupeng, Li, Ye, Zhang, Xiangbin, Ma, Junyi, Zou, Xuelun, Yao, TianXing, Li, Si, Chen, Junyou, Zhou, Huifang, Wu, Lianxu, Zhou, Yanhong, Zhang, Le
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 22.12.2022
• Subjects: Cellular and Infection Microbiology; Cerebral Hemorrhage; gut microbiome; Humans; intracerebral hemorrhage; metabolites; Metabolome; Metabolomics; metagenomic; Microbiota; Multiomics; RNA, Ribosomal, 16S - genetics; Stroke; intracerebral hemorrhage; metagenomic; gut microbiome; metabolomics; metabolites
• ISSN: 2235-2988; 2235-2988
• DOI: 10.3389/fcimb.2022.999627

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 and a significant increase of Bacteroidetes in ICH patients. At the genus level, , and 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.