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Research Article

Transcriptomic Identification of Renin—Angiotensin System-Related Candidate Biomarkers and External Testing of a Hypertension Diagnostic Model

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DOI:

10.3791/71252

June 22nd, 2026

* These authors contributed equally

In This Article

Summary

Using public blood transcriptome datasets, this study identified candidate renin-angiotensin system (RAS)-related biomarkers for hypertension. Bioinformatics and machine learning yielded an eight-gene signature tested in an independent blood-based cohort, linking RAS transcriptomic alterations to immune and inflammatory signatures requiring further validation.

Abstract

This work aimed to identify candidate renin-angiotensin system (RAS)-related blood transcriptomic biomarkers associated with hypertension, construct an externally tested candidate diagnostic model, and validate selected genes in an Ang II-induced endothelial cell model. Two public microarray datasets, GSE75360 and GSE74144, were analyzed. Differential expression analysis was performed using limma, followed by GO/KEGG enrichment, preranked GSEA, CIBERSORT immune infiltration analysis, protein-protein interaction and regulatory network construction, and machine learning-based feature selection using logistic regression and random forest. A logistic regression model based on the selected genes was developed in GSE75360 and externally tested in GSE74144. Experimental validation was performed in Ang II-induced HUVECs using qRT-PCR, western blotting, ELISA, and CST3/FURIN loss- and gain-of-function assays, followed by CCK-8, Transwell, inflammatory, oxidative stress, and endothelial function analyses. In GSE75360, 173 differentially expressed genes were identified, including 18 RAS-related differentially expressed genes. Eight candidate genes, LRP1, CTSD, MTHFR, AUTS2, FURIN, CST3, FCER1G, and TBXAS1, were selected by combined machine learning analyses. Enrichment and immune infiltration analyses indicated that these genes were mainly associated with immune and inflammatory signatures. The eight-gene model showed high discrimination in GSE75360 and retained moderate performance in GSE74144. In Ang II-treated HUVECs, most candidate genes were upregulated at the mRNA level, and CST3, FURIN, and TBXAS1 were further validated at the protein level. CST3 and FURIN modulation altered Ang II-induced endothelial viability, migration, expression of inflammatory/adhesion markers, ROS accumulation, and eNOS/NO-related functional readouts. This study identified candidate RAS-related biomarkers and immune-associated signatures in hypertension and developed an externally tested candidate diagnostic model. The in vitro findings support the functional relevance of CST3 and FURIN in Ang II-induced endothelial responses, warranting further clinical and mechanistic validation.

Introduction

This study focuses on hypertension, a chronic cardiovascular disease that is prevalent globally1. Hypertension significantly increases the risk of serious health complications, including cardiovascular and cerebrovascular events as well as renal damage. This poses a grave threat to patients' quality of life and longevity, while creating a significant social and economic burden2,3. Currently, the diagnosis and treatment of hypertension mainly rely on blood pressure monitoring and antihypertensive medications. However, because the causes of hypertension are complex and heterogeneous, ....

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Protocol

Overview of analysis workflow

The overall design of this study’s transcriptomic and machine learning-based analysis is illustrated in Figure 1, encompassing key steps: collection of Renin-Angiotensin System-related genes (RASRGs); screening of RAS-related differentially expressed genes (RASRDEGs) from hypertension datasets; functional enrichment analysis (GO/KEGG/GSEA); immune infiltration analysis (CIBERSORT); construction of protein-protein interaction (PPI) and regulatory networks; machine learning-based key gene selection (logistic regression, random forest [RF]); and evaluation of the hype....

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Results

Cleaning of hypertension datasets

To ensure the reliability of subsequent analyses, datasets GSE75360 and GSE74144 were first subjected to probe annotation and data normalization using the R package limma. The distributions of gene expression values before and after normalization are shown in Supplemental File 1Supplemental Figure S1A-D, with orange representing hypertension samples and blue representing control samples.

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Discussion

Hypertension is a complex cardiovascular disorder involving RAS dysregulation, immune-inflammatory activation, vascular injury, and endothelial dysfunction32. In the present study, we first used public blood transcriptomic datasets and machine learning approaches to identify RAS-related candidate biomarkers and to build an externally tested candidate diagnostic model. We then extended these bioinformatics findings through experimental validation in an Ang II-induced HUVEC model. This combined stra.......

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Disclosures

The authors have no conflicts of interest to declare.

Authors' contributions:

Conception and design of the work: Bai J, Wang Y;

Data collection: Yang X X, Du L, Shi J H, Li X X, Bai M;

Supervision: Bai J, Wang Y;

Analysis and interpretation of the data: Yang X X, Du L, Shi J H, Li X X, Bai M;

Statistical analysis: Bai J, Wang Y, Bai M;

Drafting the manuscript: Bai J, Wang Y;

Critical revision of the manuscript: all authors;

Approval of the final manuscript: all authors.

Acknowledgements

Funding: Gansu Provincial Department of Education Higher Education Faculty Innovation Fund Project (No. 2026B-268)

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
96-well cell culture platesUsed for CCK-8 cell viability assays
Angiotensin II (Ang II)Used to induce endothelial injury in HUVECs at 100 nM for 48 h
Antibiotic solutionAdded to endothelial cell culture medium according to the supplier’s instructions
BCA protein assay kitUsed to determine protein concentration for western blotting
Cell Counting Kit-8 (CCK-8)Used to assess HUVEC viability/proliferation
Chemiluminescence detection reagentUsed to visualize western blot protein bands
ChIPBase v2.0Sun Lab / Research ResourceN/ADatabase used to retrieve transcription factor-target relationships for hub genes
CIBERSORTStanford University / Newman LabN/AImmune cell deconvolution algorithm used to estimate the abundance of 22 immune cell types
clusterProfiler (R package)BioconductorN/AR package used for GO, KEGG, and GSEA analyses
CO2 cell culture incubatorUsed to culture HUVECs at 37 °C with 5% CO2
Comparative Toxicogenomics Database (CTD)NC State University / Mount Desert Island Biological LaboratoryN/ADatabase used to predict gene-drug interactions
Complete endothelial cell culture mediumUsed for HUVEC culture
Computer workstation with internet accessAny standard research computing platformN/AUsed for data download, preprocessing, statistical analysis, and visualization
CST3 ELISA kitUsed to detect secreted CST3 in cell culture supernatant
CST3 overexpression plasmid (oe-CST3)Used for CST3 gain-of-function experiments in HUVECs
CytoscapeCytoscape ConsortiumN/ASoftware used to visualize mRNA-miRNA, mRNA-TF, and mRNA-drug regulatory networks
DCF fluorescent probe/ROS assay reagentUsed to detect intracellular ROS levels
Empty-vector control plasmid (oe-NC)Used as the overexpression control
Fetal bovine serumSupplement added to endothelial cell culture medium
FURIN overexpression plasmid (oe-FURIN)Used for FURIN gain-of-function experiments in HUVECs
GeneCardsWeizmann Institute of ScienceN/ADatabase used to curate RAS-related genes
GeneMANIAUniversity of TorontoN/AWeb-based tool used to identify functionally related genes
GEO databaseNCBIN/APublic database used to access GSE75360 and GSE74144 datasets
GEOquery (R package)BioconductorN/AR package used to download GEO datasets
ggDCA (R package)CRAN / GitHub source used by authorsN/AR package used for decision curve analysis
ggplot2 (R package)CRANN/AR package used for data visualization
Human umbilical vein endothelial cells (HUVECs)Cell model used for Ang II-induced endothelial injury experiments
limma (R package)BioconductorN/AR package used for normalization and differential expression analysis
MSigDBBroad InstituteN/AGene set database used for GSEA
Negative control siRNA (si-NC)Used as the knockdown control
Nitric oxide assay kitUsed to measure NO levels in culture supernatant
pheatmap (R package)CRANN/AR package used to generate heatmaps
Primary antibody against CST3Used for western blotting
Primary antibody against FURINUsed for western blotting
Primary antibody against GAPDHUsed as the western blot loading control
Primary antibody against TBXAS1Used for western blotting
pROC (R package)CRANN/AR package used to generate ROC curves and calculate AUC
PubMedU.S. National Library of MedicineN/ALiterature database used to supplement RAS-related gene curation
PVDF membraneUsed for western blot protein transfer
qRT-PCR primersUsed to detect candidate genes and inflammatory/endothelial markers
R softwareR Foundation for Statistical ComputingN/AStatistical computing environment used for all analyses
randomForest (R package)CRANN/AR package used for feature selection by random forest
RCircos (R package)CRAN / Bioconductor-associated resourceN/AR package used to visualize chromosomal localization of RASRDEGs
Reverse transcription kitUsed to synthesize complementary DNA
RIPA lysis bufferUsed for total protein extraction
rms (R package)CRANN/AR package used to construct the nomogram
RNA extraction reagentUsed to extract total RNA from HUVECs
Secondary antibodiesUsed for western blotting
siRNA targeting CST3 (si-CST3)Used for CST3 knockdown experiments
siRNA targeting FURIN (si-FURIN)Used for FURIN knockdown experiments
starBase v3.0Sun Lab / Research ResourceN/ADatabase used to identify miRNA-target interactions
STRINGSTRING ConsortiumN/ADatabase used to construct the protein-protein interaction network
SYBR Green qPCR reagentUsed for qRT-PCR detection
Transfection reagentUsed to transfect siRNAs and overexpression plasmids into HUVECs
Transwell chambersUsed for HUVEC migration assays

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Tags

Hypertension BiomarkersTranscriptomic AnalysisDifferential ExpressionImmune InfiltrationMachine Learning ModelEndothelial Cell ModelGene ValidationProtein Interaction NetworkLogistic Regression