ReviewJournal of cardiovascular development and disease2026
From Valve Anatomy to Molecular Trajectories: Integrating Proteomics into Precision Care for Bicuspid Aortic Valve Disease.
Review in Journal of cardiovascular development and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Bicuspid aortic valve (BAV) disease is a lifelong disorder in which congenital anatomy, tissue susceptibility, abnormal flow, and acquired fibrocalcific remodeling produce heterogeneous valve and aortic outcomes. This narrative review examined peer-reviewed literature indexed in PubMed/MEDLINE through June 2026 to evaluate how circulating proteomics could complement established imaging-based risk assessment. Published studies of incident aortic stenosis consistently implicate integrated stress, inflammation, apoptosis, and extracellular-matrix remodeling, with recurrent signals including GDF15, MMP12, and natriuretic peptides. These data support a long preclinical molecular phase, but existing proteomic models were developed predominantly in general aortic stenosis populations and cannot be transferred directly to BAV. We propose a five-layer framework integrating valve morphology and function, aortic phenotype and growth, flow and wall mechanics, molecular activity, and patient-specific lifetime context. In the near term, proteomics is best used for cohort enrichment, mechanistic phenotyping, and trial design rather than intervention decisions. Prospective BAV-specific cohorts, standardized imaging, repeated sampling, competing-risk analysis, external calibration, and demonstration of management-changing utility are required before clinical implementation. Molecular phenotyping should refine, not replace, guideline-based imaging and shared decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.