The causal relationship between aspartate aminotransferase and hypertension: A bidirectional Mendelian randomization study.

IF 3.5 4区 医学 Q3 PERIPHERAL VASCULAR DISEASE
Hongyan Song, Jun Li, Lizhen Lan, Huaxing Meng
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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.

天冬氨酸转氨酶与高血压的因果关系:一项双向孟德尔随机研究。
背景:高血压是全球疾病负担和普通人群死亡率增加的主要因素。目前,高血压的病因和发病机制尚不完全清楚。新出现的证据表明,天冬氨酸转氨酶(AST)与高血压之间存在关联,但这种关系是否存在因果关系尚不清楚。方法:采用GWAS汇总数据进行两样本MR分析。采用MR- egger、加权中位数、逆方差加权(IVW)、简单模式和加权模式5种MR方法,其中IVW为主要方法。进行敏感性分析,包括异质性和多效性评估,以及遗漏(LOO)分析。使用3DSNP数据库对非编码snp进行功能注释,而GeneMania和富集分析则探索基因相互作用和生物学途径。结果:采用IVW方法进行正向磁共振分析,AST对高血压有显著的因果关系(β = 0.0003,标准误差(SE) = 6.93E-05, P = 0.0002)。然而,反向MR分析发现高血压与AST没有显著的因果关系(β = 15.7148, SE = 12.7551, P = 0.2179)。MR-Egger回归、加权中位数和加权模态方法的结果与IVW方法一致。这些发现在几个可靠性分析中都是可靠的。最后,网络和功能富集分析表明,在IVs的影响下,snp宿主基因和AST通过参与天冬氨酸家族代谢和己糖生物合成来促进疾病进展。结论:本研究报告了AST在高血压发展中的潜在作用。谷草转氨酶与高血压之间的联系可能与调节物质和能量代谢有关。这些发现为高血压的病理生理学提供了新的见解,并表明AST可以作为高血压管理的潜在生物标志物或治疗靶点。
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来源期刊
CiteScore
3.90
自引率
0.80%
发文量
66
审稿时长
6-12 weeks
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.
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