ArticleAmerican journal of physiology. Heart and circulatory physiology2026
Comprehensive evaluation of plasma biomarkers in patients with abdominal aortic aneurysm using high-throughput, label-free quantitative proteomic profiling.
Article in American journal of physiology. Heart and circulatory physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Identification and Validation of Plasma Protein Biomarkers for Abdominal Aortic Aneurysm Using Integrated Proteomics.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The use of comprehensive unbiased proteomic evaluations coupled with physiological and clinical insight offers the possibility to enhance our understanding of disease mechanisms and identify potential biomarkers for diagnosis and prognosis of cardiovascular disease. In this methods and resources article, we present the methodologies used for a workflow leveraging a high-throughput, large-scale mass spectrometry-based technology for label-free quantitative proteomic profiling coupled with physiological and clinical assessment. Using this approach, we analyzed a total of 505 plasma samples at baseline and 1- and 2-yr follow-up from patients enrolled in the Non-Invasive Treatment of Abdominal Aortic Aneurysm Clinical Trial. We successfully identified a dataset comprising over 1,000 distinct proteins. Collecting samples longitudinally provides built-in validation, allowing for direct comparisons within the same patient over time. We provide a comprehensive collection and analytical data plan tailored for such a large dataset, which encompasses data acceptance criteria, integrity checks, and database validation. We also provide methods on statistical testing, temporal cross validation, and biological and clinical validation. This resource outlines a template for similar experiments and development of a robust statistical analysis plan that will limit false positive and false negative identifications to focus on true protein changes that may serve as diagnostic or prognostic indicators.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.