MicroRNA-30 modulates metabolic inflammation by regulating Notch signaling in adipose tissue macrophages

2018 
Obesity is a pandemic disorder that is characterized by accumulation of adipose tissue and chronic low-grade inflammation that is driven primarily by adipose tissue macrophages (ATMs). While ATM polarization from pro-(M1) to anti-(M2) inflammatory phenotype influences insulin sensitivity and energy expenditure, the mechanisms of such a switch are unclear. In the current study, we identified epigenetic pathways including microRNAs (miR) in ATMs that regulate obesity-induced inflammation. Male C57BL/6J mice were fed normal chow diet (NCD) or high-fat diet (HFD) for 16 weeks to develop lean and diet-induced obese mice, respectively. Transcriptome microarrays, microRNA microarrays, and MeDIP-Seq were performed on ATMs isolated from visceral fat. Pathway analysis and bone marrow-derived macrophage (BMDM) transfections further allowed computational and functional analysis of miRNA-mediated ATM polarization. ATMs from HFD-fed mice were skewed toward M1 inflammatory phenotype. Concurrently, the expression of miRs 30a-5p, 30c-5p, and 30e-5p was downregulated in ATMs from HFD mice when compared to mice fed NCD. The miR-30 family was shown to target Delta-like-4, a Notch1 ligand, whose expression was increased in HFD ATMs. Inhibition of miR-30 in conditioned BMDM triggered Notch1 signaling, pro-inflammatory cytokine production, and M1 macrophage polarization. In addition, DNA hypermethylation was observed in mir30-associated CpG islands, suggesting that HFD downregulates miR-30 through epigenetic modifications. HFD-induced obesity downregulates miR-30 by DNA methylation thereby inducing Notch1 signaling in ATMs and their polarization to M1 macrophages. These findings identify miR-30 as a regulator of pro-inflammatory ATM polarization and suggest that miR-30 manipulation could be a therapeutic target for obesity-induced inflammation.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    44
    References
    48
    Citations
    NaN
    KQI
    []