{"title":"The causal relationship between aspartate aminotransferase and hypertension: A bidirectional Mendelian randomization study.","authors":"Hongyan Song, Jun Li, Lizhen Lan, Huaxing Meng","doi":"10.1080/10641963.2025.2564298","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hypertension is a major contributor to the global burden of disease and increased mortality in the general population. Currently, the etiology and pathogenesis of hypertension are not fully understood. Emerging evidence suggests an association between aspartate aminotransferase (AST) and hypertension, but whether this relationship is causal remains unclear.</p><p><strong>Methods: </strong>A two-sample MR analysis was conducted using GWAS summary data. Five MR methods - MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode - were applied, with IVW as the primary approach. Sensitivity analyses, including heterogeneity and pleiotropy assessments, as well as leave-one-out (LOO) analysis, were performed. Functional annotation of non-coding SNPs was conducted using the 3DSNP database, while GeneMania and enrichment analysis explored gene interactions and biological pathways.</p><p><strong>Results: </strong>Forward MR analysis using the IVW method indicated a significant causal effect of AST on hypertension (<i>β</i> = 0.0003, Standard Error (SE) = 6.93E-05, <i>P</i> = 0.0002). However, reverse MR analysis found no significant causal relationship between hypertension and AST (<i>β</i> = 15.7148, SE = 12.7551 <i>P</i> = 0.2179). The results of MR-Egger regression, Weighted Median, and Weighted Mode methods were consistent with those of the IVW method. These findings were robust across several reliability analyses. Finally, network and functional enrichment analyses showed that, under the influence of IVs, the SNP-hosted genes and AST promote disease progression through involvement in aspartic acid family metabolism and hexose biosynthesis.</p><p><strong>Conclusion: </strong>The present study reports the potential role of AST in the development of hypertension. The link between AST and hypertension may be due to regulation of substance and energy metabolism. These findings offer new insights into the pathophysiology of hypertension and suggest that AST could serve as a potential biomarker or therapeutic target for hypertension management.</p>","PeriodicalId":10333,"journal":{"name":"Clinical and Experimental Hypertension","volume":"47 1","pages":"2564298"},"PeriodicalIF":3.5000,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Hypertension","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10641963.2025.2564298","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Hypertension is a major contributor to the global burden of disease and increased mortality in the general population. Currently, the etiology and pathogenesis of hypertension are not fully understood. Emerging evidence suggests an association between aspartate aminotransferase (AST) and hypertension, but whether this relationship is causal remains unclear.
Methods: A two-sample MR analysis was conducted using GWAS summary data. Five MR methods - MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode - were applied, with IVW as the primary approach. Sensitivity analyses, including heterogeneity and pleiotropy assessments, as well as leave-one-out (LOO) analysis, were performed. Functional annotation of non-coding SNPs was conducted using the 3DSNP database, while GeneMania and enrichment analysis explored gene interactions and biological pathways.
Results: Forward MR analysis using the IVW method indicated a significant causal effect of AST on hypertension (β = 0.0003, Standard Error (SE) = 6.93E-05, P = 0.0002). However, reverse MR analysis found no significant causal relationship between hypertension and AST (β = 15.7148, SE = 12.7551 P = 0.2179). The results of MR-Egger regression, Weighted Median, and Weighted Mode methods were consistent with those of the IVW method. These findings were robust across several reliability analyses. Finally, network and functional enrichment analyses showed that, under the influence of IVs, the SNP-hosted genes and AST promote disease progression through involvement in aspartic acid family metabolism and hexose biosynthesis.
Conclusion: The present study reports the potential role of AST in the development of hypertension. The link between AST and hypertension may be due to regulation of substance and energy metabolism. These findings offer new insights into the pathophysiology of hypertension and suggest that AST could serve as a potential biomarker or therapeutic target for hypertension management.
期刊介绍:
Clinical and Experimental Hypertension is a reputable journal that has converted to a full Open Access format starting from Volume 45 in 2023. While previous volumes are still accessible through a Pay to Read model, the journal now provides free and open access to its content. It serves as an international platform for the exchange of up-to-date scientific and clinical information concerning both human and animal hypertension. The journal publishes a wide range of articles, including full research papers, solicited and unsolicited reviews, and commentaries. Through these publications, the journal aims to enhance current understanding and support the timely detection, management, control, and prevention of hypertension-related conditions.
One notable aspect of Clinical and Experimental Hypertension is its coverage of special issues that focus on the proceedings of symposia dedicated to hypertension research. This feature allows researchers and clinicians to delve deeper into the latest advancements in this field.
The journal is abstracted and indexed in several renowned databases, including Pharmacoeconomics and Outcomes News (Online), Reactions Weekly (Online), CABI, EBSCOhost, Elsevier BV, International Atomic Energy Agency, and the National Library of Medicine, among others. These affiliations ensure that the journal's content receives broad visibility and facilitates its discoverability by professionals and researchers in related disciplines.