Stuart Clayton

Introduction: Compelling data supports the concept that concurrent strength and aerobic training can interfere with adaptations to strength training related to speed, power, and rate of force development (RFD). Studies on this topic have primarily utilized non-athlete participants, with data subsequently extrapolated to athlete populations. Since there may be hesitancy to have athletes involved in research on the interference effects of aerobic exercise on strength specific adaptations, we built a model to simulate these effects and developed an equation to predict interference. The hypothesis tested in this project was that aerobic exercise is the main driver of interference on weightlifting-associated RFD, and that this interference can be modeled to generate an equation to predict changes to RFD. Methods: Python software was used to generate the model, perform the simulation, and optimize variables that contribute to the interference effect. A theoretical nonlinear exponential interference model was created that simulates the changes in RFD from a force-time curve in response to acute aerobic exercise lasting from 2-minutes to 60-minutes in duration. Results: RFD sensitivity to aerobic exercise was modeled such that maximal RFD values were predicted to be reduced by approximately 70% after aerobic exercise less than 10 minutes, with further predicted reductions of 80% with durations greater than 10-minutes. Discussion: The prediction equation includes variables that can be adjusted by coaches, such as the rate of decay and the RFD scaling factor, to predict the interference of acute aerobic exercise on RFD in strength athletes. This would theoretically allow the coach to make informed decisions on training program design if there is a need to include aerobic exercise in a strength and/or power-based periodized plan. The simulation model described herein is theoretical and has not yet been empirically validated.

Patient-derived xenografts (PDXs) provide a clinically relevant method for recapitulating tumor-involved cell types and the tumor microenvironment, which is essential for advancing knowledge of breast cancer (BC). Additionally, PDX models enable the study of BC systemic effects, which is not possible using in vitro models. Traditional methods for implanting BC xenografts typically involve anesthesia and sterile surgical procedures, which are time-consuming, invasive, and limit the scalability of PDX models in BC research. This protocol describes a simple and scalable method for the orthotopic implantation of BC PDXs in mice. The immunodeficient mouse strain NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) was used for PDX engraftment. Human BC samples obtained from IRB-consented patients were mechanically and enzymatically dissociated, then resuspended in a solution of basement membrane extract (BME) and RPMI 1640. Animals were restrained by scruffing, and depilatory cream was applied to remove hair from the fat pads at the fourth inguinal nipple, followed by injection. Approximately 2 million cells in a 100 µL suspension were bilaterally injected orthotopically into the mammary fat pads using a 26 G needle. Notably, no anesthetic was required, and the total procedure time was under 5 min, from cell preparation to injection. After a growth period of several months, tumors were excised and processed for authentication. Validation included receptor status assessment using immunohistochemistry with specific antibodies for traditional BC receptors (i.e., ER, PR, HER2). Tumor morphology was confirmed with hematoxylin and eosin (H&E) staining, which was interpreted by a pathologist. Genetic similarity to the patient sample was verified through bulk RNA sequencing and short tandem repeat (STR) analysis. This approach to PDX engraftment and validation supports the rigorous development of models and high-throughput tumor implantation, enabling well-powered studies across various BC subtypes.

Background/Objectives: Breast cancer (BC) is the second most commonly diagnosed cancer worldwide and is accompanied by fatigue during both active disease and remission in the majority of cases. Our lab has measured fatigue in isolated muscles from treatment-naive BC patient-derived orthotopic xenograft (BC-PDOX) mice. Here, we conducted a preclinical trial of pioglitazone in BC-PDOX mice to determine its efficacy in ameliorating BC-induced muscle fatigue, as well as its effects on transcriptomic, metabolomic, and lipidomic profiles in skeletal muscle. Methods: The pioglitazone and vehicle groups were treated orally for 4 weeks upon reaching a tumor volume of 600 mm3. Whole-animal indirect calorimetry was used to evaluate systemic metabolic states. The transcriptome was profiled using short-read bulk RNA sequencing (RNA-seq). Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to profile the metabolome and lipidome. Fast and slow skeletal muscle function were evaluated using isolated ex vivo testing. Results: Pioglitazone was associated with a 16.634% lower average O2 consumption (mL∙h−1, p = 0.035), 16.309% lower average CO2 production (mL∙h−1, p = 0.022), and 16.4% lower cumulative energy expenditure (EE) (kcal∙h−1, p = 0.035), with no changes in substrate utilization. RNA-seq supported the downstream effects of pioglitazone on target genes and displayed considerable upregulation of mitochondrial bioenergetic pathways. K-means cluster 5 showed enrichment of the PPAR signaling pathway (adj. p < 0.05, Log2FC = 2.58). Skeletal muscle metabolomic and lipidomic profiles exhibited dysregulation in response to BC, which was partially restored in pioglitazone-treated mice compared to vehicle-treated BC-PDOX mice. In particular, the overall abundance of total ceramide levels was significantly lower in the PioTx group (−46.327%, p = 0.048). Despite molecular support for pioglitazone’s efficacy, isolated muscle function was not affected by pioglitazone treatment. No significant difference in the area under the fatigue curve (AUC) was found between the pioglitazone and vehicle groups (p = 0.596). Conclusions: BC induces multi-omic dysregulation in skeletal muscle, which pioglitazone partially ameliorates. Future research should focus on profiling systemic metabolic dysfunction, identifying molecular biomarkers of fatigue, and testing alternative pioglitazone treatment regimens.

Breast cancer incidence in men is statistically rare; however, given the lack of screening in males, more advanced stages at initial diagnosis result in lower 5-year survival rates for men with breast cancer compared to women. A sexual dimorphism, with respect to the effect of tumor growth on cachexia incidence and severity, has also been reported across cancer types. The purpose of this study was to examine the sexual dimorphism of breast cancer as it pertains to skeletal muscle function and molecular composition. Using female and male transgenic PyMT mice, we tested the hypothesis that the isometric contractile properties and molecular composition of skeletal muscle would be differentially affected by breast tumors. PyMT tumor-bearing mice of each sex, corresponding to maximal tumor burden, were compared to their respective controls. RNA sequencing of skeletal muscle revealed different pathway alterations that were exclusive to each sex. Further, differentially expressed genes and pathways were substantially more abundant in female tumor mice, with only minimal dysregulation in male tumor mice, each compared to their respective controls. These differences in the transcriptome were mirrored in isometric contractile properties, with greater tumor-induced dysfunction in females than male mice, as well as muscle wasting. Collectively, these data support the concept of sexually dimorphic responses to cancer in skeletal muscle and suggest that these responses may be associated with the clinical differences in breast cancer between the sexes. The identified sex-dependent pathways within the muscle of male and female mice provide a framework to evaluate therapeutic strategies targeting tumor-associated skeletal muscle alterations.

Proponents for electronic cigarettes (Ecigs) claim that they are a safe alternative to tobacco-based cigarettes; however, little is known about the long-term effects of exposure to E-cig vapor on vascular function. The purpose of this study was to determine the cardiovascular consequences of chronic E-cig exposure. Female mice (C57BL/6 background strain) were randomly assigned to chronic daily exposure to E-cig vapor, standard (3R4F reference) cigarette smoke, or filtered air (n = 15/group). Respective whole body exposures consisted of four 1-h-exposure time blocks, separated by 30-min intervals of fresh air breaks, resulting in intermittent daily exposure for a total of 4 h/day, 5 days/wk for 8 mo. Noninvasive ultrasonography was used to assess cardiac function and aortic arterial stiffness (AS), measured as pulse wave velocity, at three times points (before, during, and after chronic exposure). Upon completion of the 8-mo exposure, ex vivo wire tension myography and force transduction were used to measure changes in thoracic aortic tension in response to vasoactive-inducing compounds. AS increased 2.5- and 2.8-fold in E-cig- and 3R4F-exposed mice, respectively, compared with air-exposed control mice (P < 0.05). The maximal aortic relaxation to methacholine was 24% and 33% lower in E-cig- and 3R4F-exposed mice, respectively, than in controls (P < 0.05). No differences were noted in sodium nitroprusside dilation between the groups. 3R4F exposure altered cardiac function by reducing fractional shortening and ejection fraction after 8 mo (P < 0.05). A similar, although not statistically significant, tendency was also observed with E-cig exposure (P < 0.10). Histological and respiratory function data support emphysema-associated changes in 3R4F-exposed, but not E-cig-exposed, mice. Chronic exposure to E-cig vapor accelerates AS, significantly impairs aortic endothelial function, and may lead to impaired cardiac function. The clinical implication from this study is that chronic use of E-cigs, even at relatively low exposure levels, induces cardiovascular dysfunction.