通过生物信息学和孟德尔随机化探索胃食管反流病与高脂血症之间的关联

文献信息

中文摘要

观察性研究发现胃食管反流病（GERD）与高脂血症（HLP）之间存在关联。本研究利用生物信息学和孟德尔随机化（MR）方法探讨了GERD与HLP之间的关系。我们首先进行生物信息学分析，从疾病数据集中识别差异表达基因（DEGs），然后利用汇总的全基因组关联研究（GWAS）数据进行两样本MR分析，以探究两者关系。GERD和HLP之间共有11个DEGs。根据京都基因与基因组百科全书（KEGG）富集分析，胆固醇代谢、肾素分泌和甘油脂质代谢可能代表这两种疾病之间的共同潜在机制。逆方差加权（IVW）方法在主要和重复MR分析中分别识别出GERD与HLP之间的P值<0.001和0.003。异质性和多效性检验证实了结果的稳健性。本研究通过综合方法揭示了GERD与HLP之间的因果关系。所涉及的共享基因和通路为潜在治疗途径提供了有价值的见解，并强调了在临床实践中解决这一关联的重要性。

英文摘要

Observational research has found a relationship between gastroesophageal reflux disease (GERD) and hyperlipidemia (HLP). This study explored the relationship between GERD and HLP using bioinformatics and Mendelian randomization (MR) methods. We first conducted bioinformatics analyses to identify differentially expressed genes (DEGs) from disease datasets and then performed a two-sample MR analysis with aggregated genome-wide association study (GWAS) data to investigate the relationship. 11 DEGs were shared between GERD and HLP. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, cholesterol metabolism, renin secretion, and glycerolipid metabolism may represent common underlying mechanisms between the 2 diseases. The Inverse Variance Weighted (IVW) method identified P values of < .001 and .003 between GERD and HLP in the primary and replication MR analysis, respectively. The results were robust, as confirmed with the heterogeneity and pleiotropy tests. This study revealed the causal relationship between GERD and HLP through comprehensive approaches. The implicated shared genes and pathways offer valuable insights into potential therapeutic avenues and highlight the importance of addressing this link in clinical practice.