Transcriptomics and metabolomics reveal hypothalamic metabolic characteristics and key genes after subarachnoid hemorrhage in rats

• DOI: 10.1007/s11011-024-01363-2
• Publication Date: 2024-06-06T08:02:21Z
• Authors: Zongchi Liu; Zhaohui Chai; Fan Wu; Luyuan Zhang; Xiaoyi Wang; Zihan Xu; Yuxiang Weng; Jiangbiao Gong; Jian Shen; Renya Zhan; Yu Zhu
• Keywords: KEGG; Metabolome; Metabolic pathway; Biological pathway

Abstract Subarachnoid hemorrhage (SAH) is a serious hemorrhagic event with high mortality and morbidity. Multiple injurious events produced by SAH can lead to series of pathophysiologic processes in the hypothalamus that severely impact patients’ life. These usually result physiologic derangements dysfunction brain multiple organs. This involved dimensions genome metabolome. In our study, we induced model rats obtain hypothalamic tissue serum. The samples were subsequently analyzed transcriptomics metabolomics. Next, functional enrichment analysis differentially expressed genes metabolites performed GO KEGG pathway analysis. Through transcriptomic samples, 263 up-regulated differential genes, 207 down-regulated identified groups compared Sham groups. analysis, large number found be enriched IL-17 signaling pathway, PI3K-Akt bile secretion. Liquid chromatography-mass spectrometry metabolomics technology was conducted on serum 11 26 positive ion model, 1 10 negative model. pathways showed mainly secretion primary acid biosynthesis. We systematically depicted neuro- metabolism-related biomolecular changes occurring after performing studies. may provide new insights into hypothalamus-induced metabolic gene expression SAH.