Exploration of the Mechanism of Linoleic Acid Metabolism Dysregulation in Metabolic Syndrome.

IF 1.4 4区生物学 Q4 GENETICS & HEREDITY

Genetics research Pub Date : 2022-01-01 DOI:10.1155/2022/6793346

Yan Wen, Yawen Shang, Qing Wang

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引用次数: 2

Abstract

We aimed to explore the mechanism of the linoleic acid metabolism in metabolic syndrome (MetS). RNA-seq data for 16 samples with or without MetS from the GSE145412 dataset were collected. Gene set variation analysis (GSVA), gene set enrichment analysis (GSEA), and gene differential expression analysis were performed. Expression data of differentially expressed genes (DEGs) involved in the linoleic acid metabolism pathway were mapped to the pathway by using Pathview for visualization. There were 19 and 10 differentially expressed biological processes in the disease group and healthy group, respectively. 9 KEGG pathways were differentially expressed in the disease group. Linoleic acid metabolism was the only differentially expressed pathway in the healthy group. The GSVA enrichment score of the linoleic acid metabolism pathway in the disease group was markedly lower than that in the healthy group. The GSEA result showed that the linoleic acid metabolism pathway was significantly downregulated in the disease group. JMJD7-PLA2G4B, PLA2G1B, PLA2G2D, CYP2C8, and CYP2J2 involved in the pathway were significantly downregulated in the disease group. This study may provide novel insight into MetS from the point of linoleic acid metabolism dysregulation.

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亚油酸代谢失调在代谢综合征中的机制探讨。

我们旨在探讨代谢综合征(MetS)中亚油酸代谢的机制。从GSE145412数据集中收集了16个有无MetS的样本的RNA-seq数据。进行基因集变异分析(GSVA)、基因集富集分析(GSEA)和基因差异表达分析。利用Pathview将亚油酸代谢通路相关的差异表达基因(differential Expression genes, DEGs)的表达数据映射到该通路上进行可视化。疾病组和健康组分别有19个和10个差异表达的生物过程。9条KEGG通路在疾病组中有差异表达。亚油酸代谢是健康组唯一的差异表达途径。疾病组亚油酸代谢途径GSVA富集评分明显低于健康组。GSEA结果显示，疾病组亚油酸代谢通路明显下调。参与该通路的JMJD7-PLA2G4B、PLA2G1B、PLA2G2D、CYP2C8、CYP2J2在疾病组中显著下调。这项研究可能从亚油酸代谢失调的角度对MetS提供新的见解。

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来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.