Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.22.207043v1?rss=1 Authors: Pius, A., Clemens, Z., Sivakumar, S., Sahu, A., Shinde, S., Mamiya, H., Luketich, N., Cui, J., Hoeck, J., Kreuz, S., Franti, M., Barchowsky, A., Ambrosio, F. Abstract: Aging is accompanied by a disrupted information flow, which results from accumulation of molecular mistakes. These mistakes ultimately give rise to debilitating disorders such as skeletal muscle wasting, or sarcopenia. To estimate the growing "disorderliness" of the aging muscle system, we employed a statistical physics approach to estimate the state parameter, entropy, as a function of genes associated with hallmarks of aging. Although the most prominent structural and functional alterations were observed in the oldest old mice (27-29 months), we found that the escalating network entropy reached an inflection point at old age (22-24 months). To probe the potential for restoration of molecular "order" and reversal of the sarcopenic phenotype, we overexpressed the longevity protein, -Klotho. Klotho overexpression modulated genes representing all hallmarks of aging in both old and oldest-old mice. However, whereas Klotho improved strength in old mice, intervention failed to induce a benefit beyond the entropic tipping point. Copy rights belong to original authors. Visit the link for more info