Evidence map›Paper›PMID 41617363›Full record

ArticleGenetics2026

Genetic determinants of heart failure susceptibility and response in the collaborative cross mouse population.

Todd H Kimball, Anh N Luu, Brian Gural, Caitlin Lahue, Abigail Hockett, Sriram Ravindran, Amira Ali, Aryan Dalal, Sam Ardery, Emily L Sipko and 5 more

Abstract read
In one paragraph

Article in Genetics, 2026. 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.

  1. Article
  2. Article
  3. 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

15 authors.

Todd H KimballDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0002-4032-3141
Anh N LuuDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0002-8216-7271
Brian GuralDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Caitlin LahueDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Abigail HockettDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Sriram RavindranDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0003-4829-3626
Amira AliDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Aryan DalalDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0009-0009-3029-7507
Sam ArderyDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0001-7779-867X
Emily L SipkoDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Logan G KirklandMcAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Mansi GoyalMcAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0009-0002-5320-9142
Brian C JensenDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Rebecca B BerlowDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Christoph D RauDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0002-0782-207X

Funding

Metabolic mechanisms of cardioprotection through alpha-1A adrenergic receptor activationR01HL140067 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian C Jensen · 2018 to 2026
$4.2M
Elucidating the Role of Multinuclearity in Healthy and Diseased Mammalian CardiomyocytesR01HL162636 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christoph Daniel Rau · 2023 to 2026
$1.9M
NHLBI NIH HHS R01 HL140067NHLBI NIH HHS R01 HL162636NIH HHS HL138301NIH HHS HL162636
6 · The paper itself

Abstract

Genetic variation and lived experiences shape how our hearts respond to chronic stress and development of heart failure, manifested as compromised pumping function and abnormal hemodynamics. The hallmark of heart failure etiology is excessive stress signals followed by maladaptive structural, electrical, and functional changes to the heart muscle, also known as cardiac remodeling. The specific genetic mechanisms which underly such phenomenon, however, are still unclear, due in part to difficulties in accounting for environmental effects in human population studies. To overcome this challenge, we used the Collaborative Cross (CC) mouse population to investigate heritable susceptibility to cardiovascular stress through chronic β-adrenergic receptor stimulation with the β-agonist isoproterenol (ISO), which targets the common signaling gateway to heart failure, regardless of the particular upstream stressor. Across 8 founder and 63 CC lines, we measured nonfailing and failing heart characteristics represented by cardiac structure and function, organ weights, and cell morphology. Genome-wide QTL mapping detected 49 genome-wide significant loci, collapsing to 20 unique intervals (9 significant for multiple traits and 11 trait-specific), averaging 12.83 Mb in size. To identify high-confidence candidate genes from these loci, we augmented our trait mapping with coding variants drawn from sequencing data, tractability in an in vitro rat cardiomyocyte model, and previously reported protein functions and/or mouse or human phenotypes. This approach recovered both known regulators, such as Hey2, and new candidates. Functional tests in in vitro models highlight 3 candidate genes that modulate hypertrophic growth: Abcb10, Mrps5, and Lmod3. Abcb10 knockdown increased cell size at baseline and further with ISO, consistent with loss of a mitochondrial stress-buffering role. Mrps5 knockdown blunted stress-induced hypertrophy, possibly related to its previously known involvement in oxidative stress regulation. Lmod3 knockdown also attenuated hypertrophy, potentially via actin-assembly control under adrenergic stress. Together, these results reveal heritable pathways of β-adrenergic remodeling in mice and provide an interpretable, translational, and stepwise framework to prioritize candidate genes within broad loci for mechanistic studies of heart failure.

Indexed as

Genetic Predisposition to DiseaseHeart FailureAdrenergic beta-AgonistsAnimalsCollaborative Cross MiceFemaleGenome-Wide Association StudyHumansIsoproterenolMaleMiceMyocytes, CardiacQuantitative Trait LociAdrenergic beta-AgonistsIsoproterenolMPPMultiparent Advanced Generation Inter-Cross (MAGIC)Multiparental Populations

Identifiers

PMID41617363
PMCPMC13147535

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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.