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Published on: April 30, 2020
Uromodulin as a genetically anchored biomarker stratifies time to valve intervention in aortic regurgitation
Emily Ghanbari1,2,3, Anastasiia Diagel4,5, Elisabeth Strässler1,2
1Department of Cardiology, Angiology and Intensive Care, German Heart Center of Charité, Campus Benjamin Franklin, Berlin, Germany.
Insights
Higher uromodulin (UMOD) levels in aortic regurgitation (AR) patients predict lower risk of aortic valve replacement (AVR). This kidney biomarker, UMOD, offers new insights into AR progression and risk stratification before surgery.
Area of Science:
- Cardiology
- Nephrology
- Genetics
Background:
- Aortic regurgitation (AR) management often relies on left ventricular remodeling assessment.
- Renal dysfunction is linked to adverse outcomes in AR, but pre-interventional progression remains understudied.
- Current risk stratification for AR lacks biologically informed approaches.
Purpose of the Study:
- To investigate renal biomarkers for predicting pre-interventional disease progression in aortic regurgitation (AR).
- To explore the association between renal biomarkers and the timing of aortic valve replacement (AVR).
- To establish a mechanistic link between kidney function, AR, and cardiovascular traits.
Main Methods:
- Utilized UK Biobank data (n=2,493) to analyze renal biomarkers in AR patients.
- Employed Cox proportional hazards models to assess time to AVR.
- Conducted genome-wide colocalization, single-cell RNA sequencing, and phenome-wide association analyses.
Main Results:
- Elevated uromodulin (UMOD) levels were independently associated with a reduced risk of subsequent AVR (HR 0.57, P=0.041).
- UMOD levels correlated with lower arterial stiffness and systolic blood pressure, but not left ventricular volumes.
- Genome-wide analysis revealed a shared genetic signal at the UMOD locus linking AR, blood pressure, and kidney function.
Conclusions:
- Uromodulin (UMOD) serves as a genetically anchored, kidney-specific biomarker for AR progression and AVR timing.
- Findings support a shift towards a tubular-driven disease model in AR, moving beyond post-operative risk.
- This research has implications for earlier risk stratification and surgical referral in AR patients.
Background:
Aortic regurgitation (AR) frequently remains asymptomatic for prolonged periods, with guideline recommendations for intervention largely guided by imaging-based assessment of left ventricular remodeling. While renal dysfunction has been linked to adverse outcomes in AR, prior studies have predominantly focused on advanced disease stages and post-interventional outcomes, with limited data on pre-interventional progression, offering limited insight into pre-interventional disease progression or biologically informed approaches to risk stratification.
Methods:
We investigated renal biomarkers in individuals with AR from the UK Biobank (n = 2,493) and assessed associations with time to aortic valve replacement (AVR) using Cox proportional hazards models. Associations with cardiovascular imaging and hemodynamic phenotypes were examined via logistic regression. To place clinical findings in a biological context, we performed genome-wide colocalization analyses between AR phenotypes, blood pressure, and renal traits, followed by regulatory annotation, single-cell RNA sequencing (Kidney Cell Atlas), and phenome-wide association analyses.
Results:
Among patients with AR, higher circulating UMOD levels were independently associated with a lower risk of subsequent AVR (adjusted HR per SD 0.57, 95% CI 0.34-0.98; p = 0.041), whereas conventional renal markers (creatinine, urea, microalbumin) showed no association. UMOD levels were strongly associated with lower arterial stiffness (β = -5.32 ± 0.27; p < 0.001 and lower systolic blood pressure (β = -0.91 ± 0.13; p < 0.001), both associated with disease progression, but not with left ventricular volumes. Genome-wide colocalization identified a shared genetic signal at the UMOD locus linking AR, blood pressure, and kidney function. Regulatory annotation and single-cell data localized UMOD expression to the thick ascending limb of Henle's loop, supporting a tubular-specific mechanism. Phenome-wide analyses further implicated UMOD variants in renal tubular and hemodynamic traits.
Conclusions:
These findings identify uromodulin as a genetically anchored, kidney-specific biomarker associated with pre-interventional progression and timing of valve intervention in AR. Our study shifts the renal-AR paradigm from post-operative risk modification toward a mechanistically grounded model of tubular-driven disease progression, with implications for earlier risk stratification and surgical referral.
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