ArticleJournal of hypertension2018
A system view and analysis of essential hypertension.
Article in Journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Protein-protein interaction network-based integration of GWAS and functional data for blood pressure regulation analysis.Human genomics · 2024Article
- Dry eye rate and its relationship with disease stage in patients with primary hypertension: a cross-sectional study in Vietnam.International journal of ophthalmology · 2024Article
- Network medicine: an approach to complex kidney disease phenotypes.Nature reviews. Nephrology · 2023Review
- Identifying susceptibility genes for essential hypertension by transcriptome-wide association study.Biochemistry and biophysics reports · 2022Article
- Blood Pressure Regulation Evolved from Basic Homeostatic Components.Biomedicines · 2021Article
- Insulin resistance-related differences in the relationship between left ventricular hypertrophy and cardiorespiratory fitness in hypertensive Black sub-Saharan Africans.American journal of cardiovascular disease · 2021Article
- Adapting Medication for Type 2 Diabetes to a Low Carbohydrate Diet.Frontiers in nutrition · 2021Review
- Ethanolic Extract ofMolecules (Basel, Switzerland) · 2020Article
- Iatrogenic hypertension: a bioinformatic analysis.The pharmacogenomics journal · 2019Article
- Noncoding RNAs in the Regulatory Network of Hypertension.Hypertension (Dallas, Tex. : 1979) · 2018Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesThe goal of this study was to investigate genes associated with essential hypertension from a system perspective, making use of bioinformatic tools to gain insights that are not evident when focusing at a detail-based resolution.
methodsUsing various databases (pathways, Genome Wide Association Studies, knockouts etc.), we compiled a set of about 200 genes that play a major role in hypertension and identified the interactions between them. This enabled us to create a protein-protein interaction network graph, from which we identified key elements, based on graph centrality analysis. Enriched gene regulatory elements (transcription factors and microRNAs) were extracted by motif finding techniques and knowledge-based tools.
resultsWe found that the network is composed of modules associated with functions such as water retention, endothelial vasoconstriction, sympathetic activity and others. We identified the transcription factor SP1 and the two microRNAs miR27 (a and b) and miR548c-3p that seem to play a major role in regulating the network as they exert their control over several modules and are not restricted to specific functions. We also noticed that genes involved in metabolic diseases (e.g. insulin) are central to the network.
conclusionWe view the blood-pressure regulation mechanism as a system-of-systems, composed of several contributing subsystems and pathways rather than a single module. The system is regulated by distributed elements. Understanding this mode of action can lead to a more precise treatment and drug target discovery. Our analysis suggests that insulin plays a primary role in hypertension, highlighting the tight link between essential hypertension and diseases associated with the metabolic syndrome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.