MicroRNA-409-3p/BTG2 Signaling Axis Improves Impaired Angiogenesis and Wound Healing in Obese Mice
Wound healing is facilitated by neoangiogenesis, a complex process that is essential to tissue repair in response to injury. MicroRNAs are small, non-coding RNAs that can regulate the wound healing process including stimulation of impaired angiogenesis that is associated with Type-2 diabetes (T2D). Expression of miR-409-3p was significantly increased in the non-healing skin wounds of patients with T2D compared to the non-wounded normal skin, and in the skin of a murine model with T2D. In response to high glucose, neutralization of miR-409-3p markedly improved EC growth and migration in human umbilical vein endothelial cells (HUVECs), promoted wound closure and angiogenesis as measured by increased CD31 in human skin organoids, while overexpression attenuated EC angiogenic responses. Bulk mRNA-Seq transcriptomic profiling revealed BTG2 as a target of miR-409-3p, where overexpression of miR-409-3p significantly decreased BTG2 mRNA and protein expression. A 3' untranslated region (3'-UTR) luciferase assay of BTG2 revealed decreased luciferase activity with overexpression of miR-409-3p, while inhibition had opposite effects. Mechanistically, in response to high glucose, miR-409-3p deficiency in ECs resulted in increased mTOR phosphorylation meanwhile BTG2 silencing significantly decreased mTOR phosphorylation. Endothelial specific and tamoxifen-inducible miR-409-3p knock out mice (MiR-409IndECKO) with hyperglycemia that underwent dorsal skin wounding showed significant improvement of wound closure, increased blood flow, granulation tissue thickness (GTT), and CD31 that correlated with increased BTG2 expression. Taken together, our results show that miR-409-3p is a critical mediator of impaired angiogenesis in diabetic skin wound healing. Overall design: Comparative gene expression profiling analysis of RNA-seq data for HUVECs which are transfected with miR-409-3p or Non-specific control. 4 technical replicates are pooled for each total-RNA samples.