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Published on: September 8, 2023
Cracking the Kinase Code: Urinary Biomarkers as Early Alarms for AAA Rupture-A Pilot Study.
Emma Maria Östling1, Tomas Baltrunas2,3, Nathalie Grootenboer1
1Department of Vascular Surgery, Hospitalsenhed Midt, 8800 Viborg, Denmark.
Researchers identified six urinary tyrosine kinases as potential biomarkers for detecting ruptured abdominal aortic aneurysms (RAAA). This non-invasive approach could aid in early diagnosis and risk stratification for this life-threatening vascular condition.
Area of Science:
- Biochemistry
- Proteomics
- Vascular Biology
Background:
- Ruptured abdominal aortic aneurysm (RAAA) has a high mortality rate (nearly 90%).
- Clinical need exists for biomarkers to identify high-risk individuals.
- Non-invasive detection methods for abdominal aortic aneurysms (AAA) at risk of rupture are crucial.
Purpose of the Study:
- To identify potential alterations in the urine proteome for non-invasive detection of AAA.
- To discover urinary biomarkers for identifying AAA with a high risk of rupture.
Main Methods:
- Utilized multiplexed kinase inhibitor beads (MIBs) and quantitative mass spectrometry (MIB/MS) for urine proteome analysis.
- Employed iTRAQ labeling and LC-TEMPO MALDI-TOF/TOF for quantitative proteomic profiling.
- Validated findings using Western blot and analyzed data with R/Bioconductor and open-source bioinformatics tools.
Main Results:
- Quantitatively measured activity of over 130 kinases, identifying significant dysregulation in EPHB6, AXL, EPHB4, DDR1, EPHA2, and EPHB3.
- All identified significant proteins were tyrosine kinases, with a dominance of the Ephrin receptor type.
- Observed reduced expression of specific kinases was confirmed via Western blot.
Conclusions:
- Identified six dysregulated urinary tyrosine kinases as potential biomarkers for RAAA.
- These findings suggest a promising, non-invasive approach for early AAA detection and risk assessment.
- Further validation in larger prospective cohorts is necessary to confirm diagnostic utility and generalizability.
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