Volumetric muscle loss overwhelms skeletal muscle's ordinarily capable regenerative machinery, resulting in severe functional deficits that have defied clinical repair strategies. In this manuscript we pair the early in vivo functional response induced by differing volumetric muscle loss tissue engineering repair strategies that are broadly representative of those explored by the field (scaffold alone, cells alone, or scaffold + cells) to the transcriptomic response induced by each intervention. We demonstrate that an implant strategy comprising allogeneic decellularized skeletal muscle scaffolds seeded with autologous minced muscle cellular paste (scaffold + cells) mediates a pattern of increased expression for several genes known to play roles in axon guidance and peripheral neuroregeneration, as well as several other key genes related to inflammation, phagocytosis, and extracellular matrix regulation. The upregulation of several key genes in the presence of both implant components suggests a unique synergy between scaffolding and cells in the early period following intervention that is not seen when either scaffolds or cells are used in isolation; a finding that invites further exploration of the interactions that could have a positive impact on the treatment of volumetric muscle loss.
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http://dx.doi.org/10.1186/s12891-023-06401-1 | DOI Listing |
Sci Rep
January 2025
Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan.
Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addressed few structures, or were validated on small datasets, which limit the application in large-scale databases. This study aimed to validate an improved deep learning model for volumetric MSK segmentation of the hip and thigh with uncertainty estimation from clinical computed tomography (CT) images.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
December 2024
Division of Cardiovascular Medicine, Cardiac Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Introduction: Intracardiac echocardiography (ICE) is an essential imaging modality for electrophysiology procedures, allowing intraprocedural monitoring, real-time catheter manipulation guidance, and visualization of complex anatomic structures. Four-dimentional (4D) ICE is the next stage in the evolution of the technology, permitting 360° rotation of the imaging plane, simultaneous multiplanar imaging, and volumetric acquisition, similar to transesophageal echocardiography (TEE). In this study, we report our experience with a novel 4D ICE catheter (NuVision, Biosense Webster) in structural electrophysiology procedures and difficult ventricular ablations in a swine preclinical model.
View Article and Find Full Text PDFJ Cachexia Sarcopenia Muscle
February 2025
Clinical Surgery, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK.
Ophthalmic Plast Reconstr Surg
December 2024
Thrive Health, Beverly Hills.
Purpose: Teprotumumab, a novel human monoclonal antibody, has been shown to reverse the clinical manifestations of thyroid eye disease. Previous reports have suggested that it demonstrates disease-modifying properties through the reduction of orbital fat and muscle volumes. This study aims to analyze orbital volumetric change following treatment and to identify clinical and radiological predictors of response.
View Article and Find Full Text PDFJ Cachexia Sarcopenia Muscle
December 2024
Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Background: Older adults with cancer are at an increased risk of treatment related toxicities and early death. Routinely collected clinico-demographic characteristics inadequately explain this increased risk limiting accurate prognostication. Prior studies have suggested that altered body composition and frailty are independently associated with worse survival among older adults with cancer; however, their combined influence remains unclear.
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