Exercise reduces circulating biomarkers of cellular senescence in humans.

Cellular senescence has emerged as a significant and potentially tractable mechanism of aging and multiple aging-related conditions. Biomarkers of senescent cell burden, including molecular signals in circulating immune cells and the abundance of circulating senescence-related proteins, have been associated with chronological age and clinical parameters of biological age in humans. The extent to which senescence biomarkers are affected by interventions that enhance health and function has not yet been examined. Here, we report that a 12-week structured exercise program drives significant improvements in several performance-based and self-reported measures of physical function in older adults. Impressively, the expression of key markers of the senescence program, including p16, p21, cGAS, and TNFα, were significantly lowered in CD3+ T cells in response to the intervention, as were the circulating concentrations of multiple senescence-related proteins. Moreover, partial least squares discriminant analysis showed levels of senescence-related proteins at baseline were predictive of changes in physical function in response to the exercise intervention. Our study provides first-in-human evidence that biomarkers of senescent cell burden are significantly lowered by a structured exercise program and predictive of the adaptive response to exercise.

Comparison of the intrinsic dynamics of aminoacyl-tRNA synthetases.

Aminoacyl-tRNA synthetases (AARSs) are an important family of enzymes that catalyze tRNA aminoacylation reaction (Ibba and Soll in Annu Rev Biochem 2000, 69:617-650) [1]. AARSs are grouped into two broad classes (class I and II) based on sequence/structural homology and mode of their interactions with the tRNA molecule (Ibba and Soll in Annu Rev Biochem 2000, 69:617-650) [1]. As protein dynamics play an important role in enzyme function, we explored the intrinsic dynamics of these enzymes using normal mode analysis and investigated if the two classes and six subclasses (Ia-c and IIa-c) of AARSs exhibit any distinct patterns of motion. The present study found that the intrinsic dynamics-based classification of these enzymes is similar to that obtained based on sequence/structural homology for most enzymes. However, the classification of seryl-tRNA synthetase was not straightforward; the internal mobility patterns of this enzyme are comparable to both IIa and IIb AARSs. This study revealed only a few general mobility patterns in these enzymes--(1) the insertion domain is generally engaged in anticorrelated motion with respect to the catalytic domain for both classes of AARSs and (2) anticodon binding domain dynamics are partly correlated and partly anticorrelated with respect to other domains for class I enzymes. In most of the class II AARSs, the anticodon binding domain is predominately engaged in anticorrelated motion with respect to the catalytic domain and correlated to the insertion domain. This study supports the notion that dynamic-based classification could be useful for functional classification of proteins.