Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine
cg.contact | hatem.zayed@qu.edu.qa | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.center | Agricultural Genetic Engineering Research Institute - AGERI | en_US |
cg.contributor.center | Qatar university | en_US |
cg.contributor.center | University of Bonn, Institute for Genomics Statistics and Bioinformatics | en_US |
cg.contributor.center | University of Bonn, Institute for Human Genetics | en_US |
cg.contributor.center | University of Marburg, Centre for Human Genetics | en_US |
cg.contributor.funder | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.project | Communication and Documentation Information Services (CODIS) | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.country | QA | en_US |
cg.coverage.region | Western Asia | en_US |
cg.identifier.doi | https://doi.org/10.1186/s12014-024-09519-z | en_US |
cg.isijournal | ISI Journal | en_US |
cg.issn | 1542-6416 | en_US |
cg.journal | Clinical Proteomics | en_US |
cg.subject.agrovoc | cardiovascular diseases | en_US |
cg.subject.agrovoc | hypertension | en_US |
cg.volume | 22 | en_US |
dc.contributor | Alsamman, Alsamman M. | en_US |
dc.contributor | Krawitz, Peter | en_US |
dc.contributor | Maj, Carlo | en_US |
dc.contributor | Zayed, Hatem | en_US |
dc.creator | Aldisi, Rana S. | en_US |
dc.date.accessioned | 2025-08-01T18:40:48Z | |
dc.date.available | 2025-08-01T18:40:48Z | |
dc.description.abstract | 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. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/5118079b5db4b545d4b0188c6f0aa955 | en_US |
dc.identifier.citation | Rana S. Aldisi, Alsamman M. Alsamman, Peter Krawitz, Carlo Maj, Hatem Zayed. (12/2/2025). Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine. Clinical Proteomics, 22. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/70034 | |
dc.language | en | en_US |
dc.publisher | BioMed Central | en_US |
dc.rights | CC-BY-NC-ND-4.0 | en_US |
dc.source | Clinical Proteomics;22,(2025) | en_US |
dc.subject | qatar precision health institute-qatar biobank | en_US |
dc.subject | proteomic/macromolecular biomarkers | en_US |
dc.subject | qorl1 | en_US |
dc.subject | bmp1 | en_US |
dc.subject | somascan technology | en_US |
dc.subject | enrichment analysis | en_US |
dc.subject | mean arterial pressure | en_US |
dc.subject | macromolecules | en_US |
dc.title | Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine | en_US |
dc.type | Journal Article | en_US |
dcterms.available | 2025-02-12 | en_US |
mel.impact-factor | 3.3 | en_US |
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