Literature DB >> 29847787

Mitochondrial Aging Defects Emerge in Directly Reprogrammed Human Neurons due to Their Metabolic Profile.

Yongsung Kim1, Xinde Zheng2, Zoya Ansari1, Mark C Bunnell1, Joseph R Herdy1, Larissa Traxler3, Hyungjun Lee1, Apua C M Paquola4, Chrysanthi Blithikioti1, Manching Ku5, Johannes C M Schlachetzki6, Jürgen Winkler7, Frank Edenhofer8, Christopher K Glass9, Andres A Paucar1, Baptiste N Jaeger1, Son Pham1, Leah Boyer1, Benjamin C Campbell1, Tony Hunter2, Jerome Mertens10, Fred H Gage11.   

Abstract

Mitochondria are a major target for aging and are instrumental in the age-dependent deterioration of the human brain, but studying mitochondria in aging human neurons has been challenging. Direct fibroblast-to-induced neuron (iN) conversion yields functional neurons that retain important signs of aging, in contrast to iPSC differentiation. Here, we analyzed mitochondrial features in iNs from individuals of different ages. iNs from old donors display decreased oxidative phosphorylation (OXPHOS)-related gene expression, impaired axonal mitochondrial morphologies, lower mitochondrial membrane potentials, reduced energy production, and increased oxidized proteins levels. In contrast, the fibroblasts from which iNs were generated show only mild age-dependent changes, consistent with a metabolic shift from glycolysis-dependent fibroblasts to OXPHOS-dependent iNs. Indeed, OXPHOS-induced old fibroblasts show increased mitochondrial aging features similar to iNs. Our data indicate that iNs are a valuable tool for studying mitochondrial aging and support a bioenergetic explanation for the high susceptibility of the brain to aging.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  aging; directly converted induced neurons; glycolysis; metabolic shift; mitochondria; mitochondrial aging; neurodegenerative disease; oxidative phosphorylation

Mesh:

Year:  2018        PMID: 29847787      PMCID: PMC6478017          DOI: 10.1016/j.celrep.2018.04.105

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  38 in total

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