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Using principal component analysis to evaluate the relationship between physiological and acute protein signaling events to RET induced gains in lean mass.

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Figshare2016-04-19 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Using_principal_component_analysis_to_evaluate_the_relationship_between_physiological_and_acute_protein_signaling_events_to_RET_induced_gains_in_lean_mass_/657060
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A) Change in lean mass following 20 wk RET and a number of physiological parameters which demonstrated the most variance were scaled to a common value and plotted using principal component analysis in R. Principal component (PC) 1 captured the major variance in lean mass gains across subjects however none of the commonly postulated physiological parameters varied with lean mass (linear regression analysis demonstrated no significant association also). PC2, the second largest proportion of independent variance also demonstrated no association between factors such as fiber type or age and gains in lean mass. B) Phospho-protein signaling 2 hr after a combined exercise and nutrition acute intervention (to promote anabolic signaling) were scaled and plotted with change in lean mass following 20 wk RET. Again these acute signaling events shared little common variance in either PC1 or PC2 with changes in lean mass with 20 wk RET.
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2016-04-19
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