Xingxing Zeng , Xianyu Yuan , Hongchun Liao , Yongfang Wei , Qinxuan Wu , Xi Zhu , Qingqing Li , Shijie Chen , Minghua Hu
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引用次数: 0
Abstract
Osteoporosis is a common degenerative skeletal disease among older people, especially postmenopausal women. Bone marrow mesenchymal stem cells (BMSCs), the progenitors of osteoblasts, are essential to the pathophysiology of osteoporosis. Herein, targeting miRNAs with differential expression in dysfunctional BMSCs was accomplished by bioinformatics analysis based on public databases. Target mRNAs were predicted and applied for signaling pathway and function enrichment annotations. In vitro and in vivo effects of selected miRNA on BMSC proliferation and osteogenesis were investigated, the putative binding between selected miRNA and predicted target mRNA was verified, and the co-effects of the miRNA/mRNA axis on BMSCs were determined. miRNA 665 (miR-665) was down-regulated in osteoporotic BMSCs compared with normal BMSCs and elevated in BMSCs experiencing osteogenic differentiation. In BMSCs, miR-665 overexpression promoted cell proliferation and osteogenic differentiation. miR-665 targeted the Wnt signaling inhibitor sclerostin (SOST) and inhibited SOST mRNA and protein expression. SOST overexpression inhibited BMSC cell proliferation and osteogenic differentiation. When co-transduced to BMSCs, SOST knockdown significantly reversed the effects of miR-665 on BMSCs. In ovariectomy (OVX)-induced osteoporosis model mice, OVX remarkably decreased bone mass, whereas miR-665 overexpression partially improved OVX-induced bone mass loss. miR-665 was down-regulated in osteoporotic BMSCs and up-regulated in osteogenically differentiated BMSCs. In conclusion, the miR-665/SOST axis modulates BMSC proliferation, osteogenic differentiation, and OVX-induced osteoporosis in mice, possibly through Wnt signaling.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.