Evidence map›Paper›PMID 41013247›Full record

ArticleBMC cardiovascular disorders2025

Derivation of ultrasound and electrocardiogram cardiac reference ranges for Mus musculus using the collaborative cross and identification of new cardiac models.

Julia L Popp, Krishna Patel, Danila Cuomo, Rachel M Lynch, Steve W Leung, Brian R Berridge, Ivan Rusyn, Weihsueh A Chiu, David W Threadgill

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Julia L PoppDepartment of Veterinary Pathobiology, Texas A&M University, College Station, TX, 77843, USA.
Krishna PatelDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX, 77843, USA.
Danila CuomoDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX, 77843, USA.
Rachel M LynchDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX, 77843, USA.
Steve W LeungDepartment of Medicine, University of Kentucky, Lexington, KY, 40536, USA.
Brian R BerridgeNational Toxicology Program, National Institute of Environmental Health, Durham, NC, USA.
Ivan RusynDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA.
Weihsueh A ChiuDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA.
David W ThreadgillDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX, 77843, USA. dwt@tamu.edu.

Funding

Genes, genomes, and genotoxicity: in vivo epigenetic toxicology of 1,3-butadieneR01ES023195 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CRAWFORD, GREGORY E, FUREY, TERRENCE S. · 2013 to 2016
$2.2M
NIEHS NIH HHS R01 ES023195U.S. Environmental Protection Agency RD83580201
6 · The paper itself

Abstract

backgroundContemporary approaches for developing interventions and assessing pre-clinical cardiovascular risk frequently utilize animal and in vitro models. However, these models currently lack normal species-specific reference ranges similar to what exists for humans. The genetically diverse Collaborative Cross (CC) population that models human genetic heterogenetiety was characterized to develop mouse-specific cardiac reference ranges for Mus musculus, the most commonly used pre-clincial model.

methodsHeart function was analyzed in males and females from 58 CC strains and C57BL/6J using high-frequency ultrasound under both conscious and anesthetized conditions, as well as conscious electrocardiography to develop two standard deviation-based reference ranges. The sources and magnitude of measurement variability were identified, and inter-laboratory comparisons determined to quantify phenotypic robustness and heritability.

resultsStrain was the largest source of variability, while laboratory where data were collected was also significant but sex was not. Additionally, strains were identified that have characteristics of disease-associated phenotypes in cardiac function and electrophysiology similar to human cases including dilated cardiomyopathy, cancer therapy-related cardiac dysfunction, and long QT.

conclusionsThese new models allow a more natural, and therefore more translatable progression to a cardiac disease state, supporting development of strain-specific models for cardiac pathologies, ultimately allowing more accurate diagnoses and informative human relevant assessments.

Indexed as

EchocardiographyElectrocardiographyHeartHeart DiseasesAnimalsCollaborative Cross MiceDisease Models, AnimalFemaleGenetic HeterogeneityHeart Disease Risk FactorsMaleMiceMice, Inbred C57BLPhenotypeReference ValuesSpecies SpecificityCardiac modelsCardiac referenceCardiac ultrasoundECGMouse

Identifiers

PMID41013247
PMCPMC12465196

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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.