Publications by authors named "A M Compton"
Species-specific interferon responses are shaped by the virus-host arms race. The human interferon-induced transmembrane protein (IFITM) family consists of three antiviral IFITM genes that arose by gene duplication. These genes restrict virus entry and are key players in antiviral interferon responses.
View Article and Find Full Text PDFHaynes, H, Tinsley, GM, Swafford, SH, Compton, AT, Moore, J, Donahue, PT, and Graybeal, AJ. Mobile anthropometry in Division I baseball athletes: evaluation of an existing application and the development of new equations. J Strength Cond Res XX(X): 000-000, 2024-The purpose of this study was to evaluate the agreement between mobile application and dual-energy x-ray absorptiometry (DXA)-derived body composition parameters in a group of Division I (DI) collegiate baseball athletes and to develop new equations for this population using this mobile technique.
View Article and Find Full Text PDFArticle Synopsis
- * Research reveals that the CD225 domain harbors a SNARE-like motif, enabling interactions with SNARE proteins, which are essential for membrane fusion; this is particularly important in diseases linked to mutations in these regions, such as neurological disorders.
- * One member, IFITM3, is shown to interact with SNARE proteins to protect against influenza A virus by disrupting SNARE complex assembly and enhancing endosomal cargo movement to lysosomes, suggesting a key role for SNARE modulation in the diverse functions of CD225
Article Synopsis
- Near-infrared reactance spectroscopy (NIRS) is gaining popularity for body composition assessments, but it's unclear how well it matches with established methods like DXA.
- The study involved 97 participants using both NIRS and DXA for body composition analysis, with a subset performing muscle quality tests.
- Results showed that NIRS measurements for fat mass and fat-free mass were similar to DXA, highlighting potential for NIRS as an alternative method, although some differences in muscle quality indices were noted.
Introduction/background: Bone mineral content (BMC) is most commonly evaluated using dual-energy X-ray absorptiometry (DXA), but there are several challenges that limit use of DXA during routine care. Breakthroughs in digital imaging now allow smartphone applications to automate important anthropometrics that can predict several body composition components. However, it is unknown whether the anthropometrics automated using smartphone applications can predict DXA-derived BMC.
View Article and Find Full Text PDF