Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 29, 16 January 2024


Open Access | Article

The bioinformatic analysis of CFTR in essential hypertension

Junzhen Zhu * 1
1 University of Glasgow

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 29, 92-100
Published 16 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Junzhen Zhu. The bioinformatic analysis of CFTR in essential hypertension. TNS (2024) Vol. 29: 92-100. DOI: 10.54254/2753-8818/29/20240753.

Abstract

The CFTR gene is associated with cystic fibrosis, a genetic disease primarily affecting the respiratory and digestive systems. Essential hypertension is a common cardiovascular disorder characterized by high blood pressure. In this bioinformatic analysis, various databases and tools were used to investigate the potential mechanisms underlying this association. Gene expression data and epigenetic analyses were used to identify the biological processes between CFTR and hypertension. Additionally, genetic variants within CFTR were analysed for potential effects on hypertension susceptibility. The results of this analysis suggest that CFTR may not play a role in hypertension. Moreover, hypertension has no special epigenetic feather. Further studies are needed to confirm the mechanisms of such a phenomenon.

Keywords

CFTR, essential hypertension, bioinformatics

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Modern Medicine and Global Health
ISBN (Print)
978-1-83558-279-4
ISBN (Online)
978-1-83558-280-0
Published Date
16 January 2024
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/29/20240753
Copyright
16 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated