ArticleJournal of the American Heart Association2022
Urinary Proteomic Profile of Arterial Stiffness Is Associated With Mortality and Cardiovascular Outcomes.
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Urinary Proteomics and Outcomes in Heart Failure With Preserved Ejection Fraction.Journal of the American Heart Association · 2024Trial
- Sex- and country-specific associations of hyperuricemia and inflammation with vascular aging across populations with diverse cardiovascular risks.Frontiers in medicine · 2025Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- Development and validation of machine learning models for diagnosis and prognosis of cancer by urinary proteomics, based on the FLEMENGHO cohort.American journal of cancer research · 2024Article
- Urinary Peptidomics and Pulse Wave Velocity: The African-PREDICT Study.Journal of proteome research · 2023Article
- Urinary peptides provide information about the risk of mortality across a spectrum of diseases and scenarios.Journal of translational medicine · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background The underlying mechanisms of arterial stiffness remain not fully understood. This study aimed to identify a urinary proteomic profile to illuminate its pathogenesis and to determine the prognostic value of the profile for adverse outcomes. Methods and Results We measured aortic stiffness using pulse wave velocity (PWV) and analyzed urinary proteome using capillary electrophoresis coupled with mass spectrometry in 669 randomly recruited Flemish patients (mean age, 50.2 years; 51.1% women). We developed a PWV-derived urinary proteomic score (PWV-UP) by modeling PWV with proteomics data at baseline through orthogonal projections to latent structures. PWV-UP that consisted of 2336 peptides explained the 65% variance of PWV, higher than 36% explained by clinical risk factors. PWV-UP was significantly associated with PWV (adjusted β=0.73 [95% CI, 0.67-0.79];
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