Evidence map›Paper›PMID 41467802›Full record

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.

Merry L Lindsey, Emily I Chen, Pushkar Shivam, Pius N Nde, David Horn, Santosh Renuse, Amirmansoor Hakimi, B Timothy Baxter, Michael Terrin, Jon S Matsumura and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Merry L LindseyDepartment of Biomedical Sciences, Meharry Medical College, Nashville, Tennessee, United States.ORCID 0000-0002-4090-0391
Emily I ChenThermo Fisher Scientific, San Jose, California, United States.
Pushkar ShivamDepartment of Biomedical Sciences, Meharry Medical College, Nashville, Tennessee, United States.
Pius N NdeDepartment of Biomedical Sciences, Meharry Medical College, Nashville, Tennessee, United States.ORCID 0000-0001-7101-7721
David HornThermo Fisher Scientific, San Jose, California, United States.
Santosh RenuseThermo Fisher Scientific, San Jose, California, United States.
Amirmansoor HakimiThermo Fisher Scientific, San Jose, California, United States.
B Timothy BaxterDepartment of Vascular Surgery, University of Nebraska Medical Center, Omaha, Nebraska, United States.ORCID 0000-0002-0620-4843
Michael TerrinDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States.ORCID 0000-0002-6342-2900
Jon S MatsumuraDivision of Vascular Surgery, University of Colorado School of Medicine, Aurora, Colorado, United States.
Amadou GayeDepartment of Integrative Genomics and Epidemiology, Meharry Medical College, Nashville, Tennessee, United States.ORCID 0000-0002-1180-2792
John A CurciDepartment of Biomedical Sciences, Meharry Medical College, Nashville, Tennessee, United States.ORCID 0000-0002-9928-9400

Funding

STrengthening Research OpportuNities for Growth at Meharry Medical College (Meharry-STRONG)UC2MD019626 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Taneisha Gillyard Cheairs, PANDU R GANGULA · 2024 to 2026
$1.1M
Chan Zuckerberg Initiative (CZI) CZIF2022-007043CSRD VA I01 CX002780HHS | National Institutes of Health (NIH) AG037120HHS | National Institutes of Health (NIH) GM151274HHS | National Institutes of Health (NIH) UC2MD019626U.S. Department of Veterans Affairs (VA) CX002780
6 · The paper itself

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

Aortic Aneurysm, AbdominalBlood ProteinsProteomicsAgedBiomarkersFemaleHigh-Throughput Screening AssaysHumansMaleMass SpectrometryPredictive Value of TestsReproducibility of ResultsBiomarkersBlood Proteinsaneurysmclinical proteomicshigh-throughput proteomicsmass spectrometryvascular biology

Identifiers

PMID41467802
PMCPMC12950003

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Registered trials

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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.