Trehalose supplementation reduces hepatic endoplasmic reticulum stress and inflammatory signaling in old mice.

Abstract

The accumulation of damaged proteins can perturb cellular homeostasis and provoke aging and cellular damage. Quality control systems, such as the unfolded protein response (UPR), inflammatory signaling and protein degradation, mitigate the residence time of damaged proteins. In the present study, we have examined the UPR and inflammatory signaling in the liver of young (~6 months) and old (~28 months) mice (n=8/group), and the ability of trehalose, a compound linked to increased protein stability and autophagy, to counteract age-induced effects on these systems. When used, trehalose was provided for 4 weeks in the drinking water immediately prior to sacrifice (n=7/group). Livers from old mice were characterized by activation of the UPR, increased inflammatory signaling and indices of liver injury. Trehalose treatment reduced the activation of the UPR and inflammatory signaling, and reduced liver injury. Reductions in proteins involved in autophagy and proteasome activity observed in old mice were restored following trehalose treatment. The autophagy marker, LC3B-II, was increased in old mice treated with trehalose. Metabolomics analyses demonstrated that reductions in hexosamine biosynthetic pathway metabolites and nicotinamide in old mice were restored following trehalose treatment. Trehalose appears to be an effective intervention to reduce age-associated liver injury and mitigate the need for activation of quality control systems that respond to disruption of proteostasis.

DOI: 10.1016/j.jnutbio.2017.02.022

Cite this paper

@article{Pagliassotti2017TrehaloseSR, title={Trehalose supplementation reduces hepatic endoplasmic reticulum stress and inflammatory signaling in old mice.}, author={Michael J. Pagliassotti and Andrea Lee Estrada and William Max Hudson and Yuren Wei and Dong Wang and Douglas R . Seals and Melanie L Zigler and Thomas J Larocca}, journal={The Journal of nutritional biochemistry}, year={2017}, volume={45}, pages={15-23} }