Diastolic and systolic blood pressure and gout: a Mendelian randomization study.


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2024
Historique:
received: 09 01 2024
accepted: 06 05 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 6 6 2024
Statut: epublish

Résumé

Although there is solid epidemiological evidence supporting the connection between hypertension and gout, little has been said about the relationship between diastolic and systolic blood pressure and gout, the causal relationship and direction associated are uncertain, so we aim to research the causal relationship between diastolic and systolic blood pressure and gout. We conducted a two-sample Mendelian randomization (MR) analysis to assess the causal effect between 2 blood pressure phenotypes (including diastolic blood pressure and systolic blood pressure) and 5 gout phenotypes (including gout, drug-induced gout, idiopathic gout, unspecified gout, and strictly defined gout) using genome-wide association study statistics. The inverse variance weighting method was used to generate the main results, while sensitivity analyses using MR-Egger, weighted median, Cochran's Q test, Egger intercept test, and leave-one-out analysis, were performed to assess the stability and reliability of the results. After the screening, we found a causal relationship between diastolic blood pressure and gout, idiopathic gout, unspecified gout, and strictly defined gout, and a causal relationship between systolic blood pressure and gout, idiopathic gout, unspecified gout, and strictly defined gout. From a genetic predisposition, controlling blood pressure may reduce the risk of gout.

Sections du résumé

Background UNASSIGNED
Although there is solid epidemiological evidence supporting the connection between hypertension and gout, little has been said about the relationship between diastolic and systolic blood pressure and gout, the causal relationship and direction associated are uncertain, so we aim to research the causal relationship between diastolic and systolic blood pressure and gout.
Methods UNASSIGNED
We conducted a two-sample Mendelian randomization (MR) analysis to assess the causal effect between 2 blood pressure phenotypes (including diastolic blood pressure and systolic blood pressure) and 5 gout phenotypes (including gout, drug-induced gout, idiopathic gout, unspecified gout, and strictly defined gout) using genome-wide association study statistics. The inverse variance weighting method was used to generate the main results, while sensitivity analyses using MR-Egger, weighted median, Cochran's Q test, Egger intercept test, and leave-one-out analysis, were performed to assess the stability and reliability of the results.
Results UNASSIGNED
After the screening, we found a causal relationship between diastolic blood pressure and gout, idiopathic gout, unspecified gout, and strictly defined gout, and a causal relationship between systolic blood pressure and gout, idiopathic gout, unspecified gout, and strictly defined gout.
Conclusion UNASSIGNED
From a genetic predisposition, controlling blood pressure may reduce the risk of gout.

Identifiants

pubmed: 38841306
doi: 10.3389/fendo.2024.1367621
pmc: PMC11150642
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1367621

Informations de copyright

Copyright © 2024 Li, Xie, Li, Chang, Zhang, Zhou, Ren and Chen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Yanfang Li (Y)

Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Yufeng Xie (Y)

Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.
Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macao, Macao SAR, China.

Jun Li (J)

Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Zhichun Chang (Z)

Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Jianmei Zhang (J)

Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Zunming Zhou (Z)

The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Rong Ren (R)

The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

Yun Chen (Y)

The Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.

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Classifications MeSH