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  5. Autophagy Deficiency by Atg4B Loss Leads to Metabolomic Alterations in Mice

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Article
en
2021

Autophagy Deficiency by Atg4B Loss Leads to Metabolomic Alterations in Mice

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0 Files

en
2021
Vol 11 (8)
Vol. 11
DOI: 10.3390/metabo11080481

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Guido Guido Kroemer
Guido Guido Kroemer

Institution not specified

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Gemma G. Martínez-García
Raúl F. Pérez
Álvaro F. Fernández
+3 more

Abstract

Autophagy is an essential protective mechanism that allows mammalian cells to cope with a variety of stressors and contributes to maintaining cellular and tissue homeostasis. Due to these crucial roles and also to the fact that autophagy malfunction has been described in a wide range of pathologies, an increasing number of in vivo studies involving animal models targeting autophagy genes have been developed. In mammals, total autophagy inactivation is lethal, and constitutive knockout models lacking effectors of this route are not viable, which has hindered so far the analysis of the consequences of a systemic autophagy decline. Here, we take advantage of atg4b−/− mice, an autophagy-deficient model with only partial disruption of the process, to assess the effects of systemic reduction of autophagy on the metabolome. We describe for the first time the metabolic footprint of systemic autophagy decline, showing that impaired autophagy results in highly tissue-dependent alterations that are more accentuated in the skeletal muscle and plasma. These changes, which include changes in the levels of amino-acids, lipids, or nucleosides, sometimes resemble those that are frequently described in conditions like aging, obesity, or cardiac damage. We also discuss different hypotheses on how impaired autophagy may affect the metabolism of several tissues in mammals.

How to cite this publication

Gemma G. Martínez-García, Raúl F. Pérez, Álvaro F. Fernández, Sylvère Durand, Guido Guido Kroemer, Guillermo Mariño (2021). Autophagy Deficiency by Atg4B Loss Leads to Metabolomic Alterations in Mice. , 11(8), DOI: https://doi.org/10.3390/metabo11080481.

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Publication Details

Type

Article

Year

2021

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/metabo11080481

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