Commentary: XBP-1 Is a Cell-Nonautonomous Regulator of Stress Resistance and Longevity
Cell 153, 1435–1447. doi: 10.1016/j.cell.2013.05.042 The life expectancy in the world's population is increasing, highlighting the need of better understanding of the cellular and molecular pathways that drive the aging process. Because aging is the major risk factor to develop neurodegenerativ...
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Published in | Frontiers in aging neuroscience Vol. 8; p. 182 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
03.08.2016
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | Cell 153, 1435–1447. doi: 10.1016/j.cell.2013.05.042 The life expectancy in the world's population is increasing, highlighting the need of better understanding of the cellular and molecular pathways that drive the aging process. Because aging is the major risk factor to develop neurodegenerative conditions such as Alzheimer's and Parkinson's disease, the number of patients affected is constantly increasing, representing a major social and economic problem. [...]studies in simple model organisms indicate that the buffering capacity of the proteostasis network (PN) is reduced during aging (Douglas and Dillin, 2010; Mardones et al., 2015). The PN is formed by different interrelated sub-networks including mechanisms responsible for protein translation, folding, synthesis, protein quality control, trafficking, secretion, and degradation (ERAD, proteasome, autophagy). PERK phosphorylates eIF2α; inhibiting the translation of proteins into the ER, in addition to induce the expression of the transcription factor ATF4 regulating genes involved in the antioxidant response, amino acid metabolism and folding. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Commentary-1 Reviewed by: Diego Ruano, University of Seville, Spain; Emmanuel Moyse, François Rabelais University, France Edited by: Agustin Ibanez, Instituto de Neurología Cognitiva, Argentina |
ISSN: | 1663-4365 1663-4365 |
DOI: | 10.3389/fnagi.2016.00182 |