Evidence map›Paper›PMID 41417779›Full record

ArticlePloS one2025

Exercise mitigates high-fat diet-induced cardiac dysfunction via APOE genotype- and immune-dependent mechanisms: A photon-counting CT study in adult mice.

Rohan Nadkarni, Alex J Allphin, Darin P Clark, Yi Qi, Zay Yar Han, Ketan B Ghaghada, Alexandra Badea, Cristian T Badea

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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.

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Rohan NadkarniQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Alex J AllphinQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Darin P ClarkQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Yi QiQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Zay Yar HanQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Ketan B GhaghadaDepartment of Radiology, Baylor College of Medicine, Houston, Texas, United States of America.
Alexandra BadeaQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Cristian T BadeaQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-1850-2522

Funding

Development of a New Generation Micro-CT imaging for Functional and Molecular Imaging of CancerR01CA196667 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T · 2015 to 2019
$2.3M
Multiorgan Photon Counting CT and Machine Learning to Elucidate Aging Mechanisms and InterventionsR01AG070149 · NIA · DUKE UNIVERSITY · PI CRISTIAN T BADEA, Alexandra Badea · 2024 to 2026
$2.1M
Detecting Growth of Intracranial Aneurysms Using Non-Invasive Photon Counting CT in a Murine Model.R01HL179758 · NHLBI · DUKE UNIVERSITY · PI CRISTIAN T BADEA, David M Hasan · 2025 to 2026
$1.5M
NCI NIH HHS R01 CA196667NHLBI NIH HHS R01 HL179758NIA NIH HHS R01 AG070149
6 · The paper itself

Abstract

backgroundCardiovascular dysfunction frequently accompanies aging and is often worsened by adverse lifestyle factors and genetic susceptibility. The apolipoprotein E (APOE) gene modulates susceptibility to cardiovascular disease, but how exercise and diet interact with APOE genotype remains insufficiently understood. We investigate the cardioprotective potential of exercise in humanized APOE-targeted replacement mice on control and high-fat diet, using photon-counting computed tomography (PCCT) and deep learning-based image segmentation.

methodsThis study included 251 male and female mice in mid-to-late life of APOE2, APOE3, and APOE4 genotypes with variation in humanized NOS2 (HN) mediated innate immune response, exercise status (exercised vs. sedentary) and diet (control vs. high-fat). Mice underwent in vivo cine cardiac PCCT imaging following contrast enhancement with liposomal iodine nanoparticles. Stroke volume, ejection fraction, and myocardial mass were derived from automated segmentation of cardiac structures using a 3D U-Net model. We assessed main and interaction effects of genotype, sex, HN status, age, exercise and diet using generalized linear models, while Mann-Whitney U tests assessed effects of exercise within stratified subgroups.

resultsExercise was a significant predictor of improvement in several cardiac functional metrics with a large effect size. The interaction between exercise and diet was a significant predictor of reduced body mass and myocardial mass. Stratified analyses found that exercise improves cardiac functional metrics in APOE4 mice on both diets, and APOE3 mice primarily on control diet, while benefitting HN mice more than non-HN mice.

conclusionsVoluntary exercise can partially rescue cardiac dysfunction induced by high-fat diet in adult APOE-targeted replacement mice, with benefits modulated by genotype, sex, and HN status. APOE4 and HN mice benefitted most from exercise. Contrast-enhanced PCCT combined with deep learning segmentation enables scalable, minimally invasive cardiac phenotyping and reveals interaction effects that are critical for designing precision lifestyle interventions in genetically at-risk populations.

Indexed as

Apolipoproteins EDiet, High-FatHeartPhysical Conditioning, AnimalAnimalsFemaleGenotypeHumansMaleMiceMice, TransgenicTomography, X-Ray ComputedApolipoproteins E

Identifiers

PMID41417779
PMCPMC12716737

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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.