Objective Parental nutrition and lifestyle impact the metabolic phenotype of the offspring. We have reported that grandpaternal chronic high-fat diet (HFD) transgenerationally impairs glucose metabolism in subsequent generations. Here we determined whether grandpaternal diet transgenerationally impacts the transcriptome and lipidome in skeletal muscle. Our aim was to identify tissue-specific pathways involved in transgenerational inheritance of environmental-induced phenotypes. Methods F0 male Sprague–Dawley rats were fed a HFD or chow for 12 weeks before breeding with chow-fed females to generate the F1 generation. F2 offspring were generated by mating F1 males fed a chow diet with an independent line of chow-fed females. F1 and F2 offspring were fed chow or HFD for 12 weeks. Transcriptomic and LC-MS lipidomic analyses were performed in extensor digitorum longus muscle from F2-females rats. Gene set enrichment analysis (GSEA) was performed to determine pathways reprogrammed by grandpaternal diet. Results GSEA revealed an enrichment of the unfolded protein response pathway in skeletal muscle of grand-offspring from HFD-fed grandfathers compared to grand-offspring of chow-fed males. Activation of the stress sensor (ATF6α), may be a pivotal point whereby this pathway is activated. Interestingly, skeletal muscle from F1-offspring was not affected in a similar manner. No major changes were observed in the skeletal muscle lipidome profile due to grandpaternal diet. Conclusions Grandpaternal HFD-induced obesity transgenerationally affected the skeletal muscle transcriptome. This finding further highlights the impact of parental exposure to environmental factors on offspring's development and health.
Grandpaternal-induced transgenerational dietary reprogramming of the unfolded protein response in skeletal muscle
Petter S. Alm,Thais de Castro Barbosa,R. Barrès,A. Krook,J. Zierath
Published 2017 in Molecular Metabolism
ABSTRACT
PUBLICATION RECORD
- Publication year
2017
- Venue
Molecular Metabolism
- Publication date
2017-05-22
- Fields of study
Biology, Medicine, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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