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使用代谢组学和转录组学技术分析脓毒症诱导的心肌功能障碍所致的代谢紊乱。

Analysis of metabolic disturbances attributable to sepsis-induced myocardial dysfunction using metabolomics and transcriptomics techniques.

作者信息

Jia Xiaonan, Peng Yahui, Ma Xiaohui, Liu Xiaowei, Yu Kaijiang, Wang Changsong

机构信息

Departments of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China.

Departments of Critical Care Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China.

出版信息

Front Mol Biosci. 2022 Aug 15;9:967397. doi: 10.3389/fmolb.2022.967397. eCollection 2022.

Abstract

Sepsis-induced myocardial dysfunction (SIMD) is the most common and severe sepsis-related organ dysfunction. We aimed to investigate the metabolic changes occurring in the hearts of patients suffering from SIMD. An animal SIMD model was constructed by injecting lipopolysaccharide (LPS) into mice intraperitoneally. Metabolites and transcripts present in the cardiac tissues of mice in the experimental and control groups were extracted, and the samples were studied following the untargeted metabolomics-transcriptomics high-throughput sequencing method. SIMD-related metabolites were screened following univariate and multi-dimensional analyses methods. Additionally, differential analysis of gene expression was performed using the DESeq package. Finally, metabolites and their associated transcripts were mapped to the relevant metabolic pathways after extracting transcripts corresponding to relevant enzymes. The process was conducted based on the metabolite information present in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. One hundred and eighteen significant differentially expressed metabolites (DEMs) (58 under the cationic mode and 60 under the anionic mode) were identified by studying the SIMD and control groups. Additionally, 3,081 significantly differentially expressed genes (DEGs) (1,364 were down-regulated and 1717 were up-regulated DEGs) were identified in the transcriptomes. The comparison was made between the two groups. The metabolomics-transcriptomics combination analysis of metabolites and their associated transcripts helped identify five metabolites (d-mannose, d-glucosamine 6-phosphate, maltose, alpha-linolenic acid, and adenosine 5'-diphosphate). Moreover, irregular and unusual events were observed during the processes of mannose metabolism, amino sugar metabolism, starch metabolism, unsaturated fatty acid biosynthesis, platelet activation, and purine metabolism. The AMP-activated protein kinase (AMPK) signaling pathways were also accompanied by aberrant events. Severe metabolic disturbances occur in the cardiac tissues of model mice with SIMD. This can potentially help in developing the SIMD treatment methods.

摘要

脓毒症诱导的心肌功能障碍(SIMD)是最常见且严重的脓毒症相关器官功能障碍。我们旨在研究SIMD患者心脏中发生的代谢变化。通过向小鼠腹腔注射脂多糖(LPS)构建动物SIMD模型。提取实验组和对照组小鼠心脏组织中的代谢物和转录本,并采用非靶向代谢组学-转录组学高通量测序方法对样本进行研究。采用单变量和多维度分析方法筛选SIMD相关代谢物。此外,使用DESeq软件包进行基因表达差异分析。最后,在提取与相关酶对应的转录本后,将代谢物及其相关转录本映射到相关代谢途径。该过程基于京都基因与基因组百科全书(KEGG)数据库中的代谢物信息进行。通过研究SIMD组和对照组,鉴定出118种显著差异表达的代谢物(DEM)(阳离子模式下58种,阴离子模式下60种)。此外,在转录组中鉴定出3081个显著差异表达的基因(DEG)(1364个下调,1717个上调DEG)。对两组进行了比较。代谢物及其相关转录本的代谢组学-转录组学联合分析有助于鉴定出五种代谢物(D-甘露糖、6-磷酸-D-氨基葡萄糖、麦芽糖、α-亚麻酸和5'-二磷酸腺苷)。此外,在甘露糖代谢、氨基糖代谢、淀粉代谢、不饱和脂肪酸生物合成、血小板活化和嘌呤代谢过程中观察到不规则和异常事件。AMP激活的蛋白激酶(AMPK)信号通路也伴随着异常事件。SIMD模型小鼠的心脏组织中发生了严重的代谢紊乱。这可能有助于开发SIMD的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc32/9421372/c35b6e024687/fmolb-09-967397-g001.jpg

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