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Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine

by Krawitz, Peter , Maj, Carlo , Aldisi, Rana S , Alsamman, Alsamman M , Zayed, Hatem

in Age / Anopheles / Apolipoprotein E / Apolipoproteins / Aptamers / Arteriosclerosis / Biobanks / Bioinformatic approaches for clinical proteomics: too many choices and no standardization / Biological markers / Biomarkers / Biomedical and Life Sciences / Biotechnology / Blood pressure / Cell Biology / Coronary artery disease / Coronary heart disease / Correlation analysis / Data collection / Disease / Ethylenediaminetetraacetic acid / Gender / Health aspects / Heart diseases / Hypertension / Immune system / Isoforms / Life Sciences / Lifestyles / Molecular modelling / Pathology / Population / Precision medicine / Proteins / Proteomics / Public health / Regression analysis / Statistical analysis / Variance analysis

2025

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Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine

by Krawitz, Peter , Maj, Carlo , Aldisi, Rana S , Alsamman, Alsamman M , Zayed, Hatem

2025

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Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine

by Krawitz, Peter , Maj, Carlo , Aldisi, Rana S , Alsamman, Alsamman M , Zayed, Hatem

2025

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Journal Article

Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine

Krawitz, Peter,

Maj, Carlo,

Aldisi, Rana S,

Alsamman, Alsamman M,

Zayed, Hatem

2025

Overview

Background Hypertension is a critical public health issue worldwide. The identification of specific proteomic biomarkers in the Qatari population aims to advance personalized treatment strategies. Methods We conducted proteomic profiling on 778 Qatari individuals using an aptamer-based SOMAscan platform to analyze 1,305 biomarkers. Statistical analysis involved two-way ANOVA and association analyses with FDR correction, alongside pathway and gene-set enrichment analyses using Reactome and DisGeNET databases. Results The study identified 26 significant protein biomarkers associated with hypertension. Notably, QORL1 and BMP1 were identified as novel protein biomarkers. Enrichment analysis linked these biomarkers to critical pathways involved in vascular biology, immune system responses, and pathologies like arteriosclerosis and coronary artery disease. Correlation analyses highlighted robust interactions, particularly between QORL1 and various Apolipoprotein E isoforms, suggesting these biomarkers play pivotal roles in the molecular mechanisms underlying hypertension.

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BioMed Central,BioMed Central Ltd

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