Evidence map›Paper›PMID 39878950›Full record

ArticleJournal of visualized experiments : JoVE2025

Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging.

Amelya G Fox, Kelsey E Buonodono, Allison R Jones, Madison Thomas, Luke E Schepers, Conner C Earl, Craig J Goergen, Anna Colleen Crouch

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Amelya G Fox *Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee.
Kelsey E Buonodono *Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee.
Allison R Jones *Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee.
Madison ThomasMechanical, Aerospace, and Biomedical Engineering, University of Tennessee.
Luke E SchepersWeldon School of Biomedical Engineering, Purdue University.
Conner C EarlWeldon School of Biomedical Engineering, Purdue University.
Craig J GoergenWeldon School of Biomedical Engineering, Purdue University.
Anna Colleen CrouchMechanical, Aerospace, and Biomedical Engineering, University of Tennessee; accrouch5@gmail.com.

Funding

Spatiotemporal and Deep Learning Analysis of Cardiac Imaging for Predictive Risk Stratification in Duchenne Muscular DystrophyF30HL162452 · NHLBI · PURDUE UNIVERSITY · PI EARL, CONNER · 2022 to 2025
$220k
NHLBI NIH HHS F30 HL162452
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of death in the United States. Damage in the cardiovascular system can be due to environmental exposure, trauma, drug toxicity, or numerous other factors. As a result, cardiac tissue and vasculature undergo structural changes and display diminished function. The damage and the resulting remodeling can be detected and quantified with ultrasound (US) imaging at the organ level and mass spectrometry imaging (MSI) at the molecular level. This manuscript describes an innovative methodology for studying murine cardiac pathophysiology, coupling in vivo four-dimensional (4D) ultrasound imaging and analysis with ex vivo matrix-assisted laser desorption/ionization (MADLI) MSI of the heart. 4D ultrasound can provide dynamic volumetric measurements, including radial displacement, surface area strain, and longitudinal strain throughout an entire cardiac cycle. In the vasculature, MSI and ultrasound are used to assess vessel wall compositions, hemodynamics, and vessel wall dynamics. The methodology can be tailored to study a myriad of CV diseases by adjusting functional metrics of interest and/or varying MALDI MSI protocol to target specific molecules. MALDI MSI can be used to study lipids, small metabolites, peptides, and glycans. This protocol outlines the use of MALDI MSI for untargeted lipidomic analysis and the use of ultrasound imaging for cardiovascular hemodynamics and biomechanics.

Indexed as

EchocardiographyMultimodal ImagingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsMiceMice, Inbred C57BL

Identifiers

PMID39878950
PMCPMC12908225

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.