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High fat diet affects the hippocampal expression of miRNAs targeting brain plasticity-related genes
Metabolic disorders such as insulin resistance and type 2 diabetes are associated with brain dysfunction and cognitive deficits, although the underpinning molecular mechanisms remain elusive. Epigenetic factors, such as non-coding RNAs, have been reported to mediate the molecular effects of nutrient-related signals. Here, we investigated the changes of miRNA expression profile in the hippocampus of a well-established experimental model of metabolic disease induced by high fat diet (HFD). In comparison to the control group fed with standard diet, we observed 69 miRNAs exhibiting increased expression and 63 showing decreased expression in the HFD mice's hippocampus. Through bioinformatics analysis, we identified numerous potential targets of the dysregulated miRNAs, pinpointing a subset of genes regulating neuroplasticity that were targeted by multiple differentially modulated miRNAs. We also validated the expression of these synaptic and non-synaptic proteins, confirming the downregulation of Synaptotagmin 1 (SYT1), calcium/calmodulin dependent protein kinase I delta (CaMK1D), 2B subunit of N-methyl-D-aspartate glutamate receptor (GRIN2B), the DNA-binding protein Special AT-Rich Sequence-Binding Protein 2 (SATB2), and RNA-binding proteins Cytoplasmic polyadenylation element-binding protein 1 (CPEB1) and Neuro-oncological ventral antigen 1 (NOVA1) in the hippocampus of HFD mice. In summary, our study offers a snapshot of the HFD-related miRNA landscape potentially involved in the alterations of brain functions associated with metabolic disorders. By shedding light on the specific miRNA-mRNA interactions, our research contributes to a deeper understanding of the molecular mechanisms underlying the effects of HFD on the synaptic function. © The Author(s) 2024.
Authors : Spinelli M.; Spallotta F.; Cencioni C.; Natale F.; Re A.; Dellaria A.; Farsetti A.; Fusco S.; Grassi C.
Source : Nature Research
Article Information
| Year | 2024 |
| Type | Article |
| DOI | 10.1038/s41598-024-69707-7 |
| ISSN | 20452322 |
| Volume | 14 |
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