Biology subjects

Earl, C. C.

Publications and source records attributed to Earl, C. C..

4 recordsLinked to original sources

bioRxiv2026

Empagliflozin preserves cardiac function and modulates metabolism in a mouse model of Duchenne muscular dystrophy

Duchenne muscular dystrophy (DMD) is a fatal genetic disorder characterized by skeletal muscle degeneration and cardiomyopathy without a cure. This study examined the therapeutic potential of the sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin (EMPA) on cardiac function in the dystrophin-deficient mdx mouse model of DMD. Male mice were fed control chow or EMPA-containing chow ([~]25 mg/kg/day), and cardiac function was evaluated longitudinally by four-dimensional ultrasound imaging. EMPA did not alter left ventricular mass or chamber volume but preserved ejection fraction (EF) for 12 weeks, maintained significantly higher EF through 24 weeks, and attenuated global impairment of systolic and diastolic myocardial deformation. These functional improvements were accompanied by reduced cardiomyocyte hypertrophy and decreased expression of cardiac stress genes. EMPA reduced mitochondrial DNA damage, increased mitochondrial DNA copy number, and induced transcriptional signatures consistent with enhanced fatty acid and ketone metabolism, contributing to increased myocardial ATP content. Systemically, EMPA improved body mass trajectory, preserved relative lean mass, enhanced skeletal muscle torque, and did not adversely affect renal function. Together, these findings demonstrate that EMPA improves cardiac performance and mitochondrial integrity while enhancing myocardial energy availability in mdx mice, supporting SGLT2 inhibitors as a promising therapeutic strategy for individuals with DMD.

physiology↗

bioRxiv2026

Positive allosteric modulator of SERCA pump NDC-1171 attenuates cardiac functional decline in mouse model of Duchenne muscular dystrophy

Progressive cardiomyopathy is the leading cause of death in Duchenne muscular dystrophy (DMD). Dysregulation of calcium handling has been implicated in cardiomyopathy progression in DMD. Here we describe a therapeutic approach to improve calcium homeostasis in a mouse model of DMD using the novel therapeutic NDC-1171, which is a positive allosteric modulator of the sarcoplasmic/endoplasmic reticulum calcium ATPase (SERCA) pump. We synthesized NDC-1171 and treated 4-week-old D2.mdx mice (n=9) via oral gavage. A group of D2.mdx mice (n=9) and a group of DBA/2J mice (n=9; background strain) received a vehicle on the same schedule. We used ultrasound to assess left ventricular function, followed by a treadmill exhaustion test and a 4-paw grip strength test to assess skeletal muscle function. NDC-1171 attenuated cardiac functional decline in D2.mdx mice. At 16 weeks of age, left ventricular ejection fraction (LVEF) was significantly preserved in mice treated with NDC-1171 (57.7{square}{+/-}{square}0.5%) compared to mice treated with a vehicle (50.7{square}{+/-}{square}0.9%, p{square}<{square}0.05), though remained lower than background strain controls (62.4{square}{+/-}{square}0.6%). In contrast, functional behavior testing revealed no significant improvement in skeletal muscle function with treatment. These data suggest that treatment with the SERCA pump modulator NDC-1171 helps preserve cardiac function in a murine model of DMD, even as skeletal muscle function was impaired. Future work will be needed to determine if the benefits of this novel SERCA activator translate to large animal and clinical studies, but these initial results are promising and could help guide development of future treatments for pediatric patients with muscular dystrophy.

pharmacology and toxicology↗

bioRxiv2024

Functional cardiac consequences of β-adrenergic stress-induced injury in the mdx mouse model of Duchenne muscular dystrophy

Cardiomyopathy is the leading cause of death in Duchenne muscular dystrophy (DMD), however, in the mdx mouse model of DMD, the cardiac phenotype differs from that seen in DMD-associated cardiomyopathy. Although some have used pharmacologic stress to enhance the cardiac phenotype in the mdx model, many methods lead to high mortality, variable cardiac outcomes, and do not recapitulate the structural and functional cardiac changes seen in human disease. Here, we describe a simple and effective method to enhance the cardiac phenotype model in mdx mice using advanced 2D and 4D high-frequency ultrasound to monitor cardiac dysfunction progression in vivo. For our study, mdx and wild-type (WT) mice received daily low-dose (2 mg/kg/day) isoproterenol injections for 10 days. Histopathologic assessment showed that isoproterenol treatment increased myocyte injury, elevated serum cardiac troponin I levels, and enhanced fibrosis in mdx mice. Ultrasound revealed reduced ventricular function, decreased wall thickness, increased volumes, and diminished cardiac reserve in mdx mice compared to wild-type. Our findings highlight the utility of low-dose isoproterenol in mdx mice as a valuable model for exploring therapies targeting DMD-associated cardiac complications. SUMMARY STATEMENTThis work introduces an improved method to model heart failure in mouse models of Duchenne muscular dystrophy and comprehensively describes underlying cellular and physiologic mechanisms using advanced imaging techniques.

physiology↗

bioRxiv2023

Deep learning enables accurate soft tissue deformation estimation in vivo

Image-based deformation estimation is an important tool used in a variety of engineering problems, including crack propagation, fracture, and fatigue failure. These tools have been instrumental in biomechanics research where measuring in vitro and in vivo tissue deformations help evaluate tissue health and disease progression. However, accurately measuring tissue deformation in vivo is particularly challenging due to limited image signal-to-noise ratio. Therefore, we created a novel deep-learning approach for measuring deformation from a sequence of in vivo images called StrainNet. Utilizing a training dataset that incorporates image artifacts, StrainNet was designed to maximize performance in challenging in vivo settings. Artificially generated image sequences of human flexor tendons undergoing known deformations were used to compare StrainNet against two conventional image-based strain measurement techniques. StrainNet outperformed the traditional techniques by nearly 90%. High-frequency ultrasound imaging was then used to acquire images of the flexor tendons engaged during contraction. Only StrainNet was able to track tissue deformations under the in vivo test conditions. Findings revealed strong correlations between tendon deformation and contraction effort, highlighting the potential for StrainNet to be a valuable tool for assessing preventative care, rehabilitation strategies, or disease progression. Additionally, by using real-world data to train our model, StrainNet was able to generalize and reveal important relationships between the effort exerted by the participant and tendon mechanics. Overall, StrainNet demonstrated the effectiveness of using deep learning for image-based strain analysis in vivo.

bioengineering↗