» Articles » PMID: 37900914

Genetic and Epigenetic Factors of Arterial Hypertension: a Bibliometric- and In-silico-based Analyses

Abstract

Arterial hypertension (AH) is a pervasive global health concern with multifaceted origins encompassing both genetic and environmental components. Previous research has firmly established the association between AH and diverse genetic factors. Consequently, scientists have conducted extensive genetic investigations in recent years to unravel the intricate pathophysiology of AH. In this study, we conducted a comprehensive bibliometric analysis employing VOSviewer software to identify the most noteworthy genetic factors that have been the focal point of numerous investigations within the AH field in recent years. Our analysis revealed genes and microRNAs intricately linked to AH, underscoring their pivotal roles in this condition. Additionally, we performed molecular docking analyses to ascertain microRNAs with the highest binding affinity to these identified genes. Furthermore, we constructed a network to elucidate the in-silico-based functional interactions between the identified microRNAs and genes, shedding light on their potential roles in AH pathogenesis. Notably, this pioneering examination of genetic factors associated with AH promises novel insights into our understanding of this complex condition. Our findings prominently highlight miR-7110-5p, miR-7110-3p, miR-663, miR-328-3p, and miR-140-5p as microRNAs exhibiting a remarkable affinity for target genes. These microRNAs hold promise as valuable diagnostic and therapeutic factors, offering new avenues for the diagnosis and treatment of AH in the foreseeable future. In summary, this research underscores the critical importance of genetic factors in AH and, through analyses, identifies specific microRNAs with significant potential for further investigation and clinical applications in AH management.

Citing Articles

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Yasli G, Damar M, Ozbicakci S, Alici S, Pinto A Medicine (Baltimore). 2025; 103(47):e40482.

PMID: 39809211 PMC: 11596423. DOI: 10.1097/MD.0000000000040482.

References
1.
Wang Y, Xu X, Huo Y, Liu D, Cui Y, Liu Z . Predicting Hyperhomocysteinemia by Methylenetetrahydrofolate Reductase C677T Polymorphism in Chinese Patients With Hypertension. Clin Appl Thromb Hemost. 2014; 21(7):661-6. DOI: 10.1177/1076029613519849. View

2.
Benincasa G, Maron B, Affinito O, DAlto M, Franzese M, Argiento P . Association Between Circulating CD4 T Cell Methylation Signatures of Network-Oriented SOCS3 Gene and Hemodynamics in Patients Suffering Pulmonary Arterial Hypertension. J Cardiovasc Transl Res. 2022; 16(1):17-30. PMC: 9944731. DOI: 10.1007/s12265-022-10294-1. View

3.
Koval S, Snihurska I, Yushko K, Mysnychenko O, Penkova M, Lytvynova O . Circulating microRNA-133a in Patients With Arterial Hypertension, Hypertensive Heart Disease, and Left Ventricular Diastolic Dysfunction. Front Cardiovasc Med. 2020; 7:104. PMC: 7358430. DOI: 10.3389/fcvm.2020.00104. View

4.
Whelton P, Flack J, Jennings G, Schutte A, Wang J, Touyz R . Editors' Commentary on the 2023 ESH Management of Arterial Hypertension Guidelines. Hypertension. 2023; 80(9):1795-1799. PMC: 10527435. DOI: 10.1161/HYPERTENSIONAHA.123.21592. View

5.
Shannon P, Markiel A, Ozier O, Baliga N, Wang J, Ramage D . Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003; 13(11):2498-504. PMC: 403769. DOI: 10.1101/gr.1239303. View