RUNX3 derived hsa_circ_0005752 accelerates the osteogenic differentiation of adipose-derived stem cells via the miR-496/MDM2-p53 pathway

Wang, Ming; Huan, Yifan; Li, Xiyang; Li, Jing; Lv, Guohua

doi:10.1016/j.reth.2021.09.006

Cited by 7 publications

(7 citation statements)

References 34 publications

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“…Oxidative phosphorylation is closely related to osteoporosis, and it has been shown that its main biological behavior in the formation of osteoporosis is to promote bone loss [ 40 , 41 ]. It is generally known that the p53 pathway is an important signal pathway for osteoblast differentiation [ 42 ], and the stability regulation by p53 is important in osteoblast differentiation [ 43 ]. Meanwhile, the downregulated expression of p53 may be a potential marker for drug therapy for osteoporosis [ 44 , 45 ].…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of iron metabolism genes in osteoporosis

Li,

Xu,

Shi

et al. 2024

BMC Med Genomics

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Background Osteoporosis is the most common metabolic bone disease in humans. Exploring the expression difference of iron metabolism-related genes in osteoporosis can provide a new target for diagnosis and treatment. Methods First, we used online databases to identify differentially expressed genes (DEGs) related to iron metabolism in patients with osteoporosis. The differential genes were comprehensively analyzed by bioinformatics method (GO, KEGG, GSEA, immune infiltration analysis, PPI). The expression levels of hub genes and important signaling pathways were verified by qRT-PCR and Western blotting. Results A total of 23 iron metabolism-related genes with significant differences were identified, which were enriched in “regulation of protein dephosphorylation” and “negative regulation of protein dephosphorylation”. The GSEA results, heme metabolism and Myc targets v1 were among the top two pathways, both upregulated. The immune infiltration analysis revealed that the expressions of genes such as ABCA5, D2HGDH, GNAI2, and CTSW were correlated with the infiltration degree of significantly different cells. The PPI network contained 12 differentially expressed iron metabolism-related genes. Additionally, YWHAE, TGFB1, PPP1R15A, TOP2A, and CALR were mined as hub genes using the Cytoscape software. qRT PCR showed that the expression of TGF-β1, YWHAE, TOP2A and CALR increased. We also verified the expression of related proteins and genes in the oxidative stress signaling pathway by qRT PCR and Western blotting. The results showed that Mob1, YAP and TAZ molecules were highly expressed at the gene and protein levels. Conclusions These differentially expressed iron metabolism-related genes could provide new potential targets for the diagnosis and treatment of osteoporosis.

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Section: Discussionmentioning

confidence: 99%

Identification and validation of iron metabolism genes in osteoporosis

Li,

Xu,

Shi

et al. 2024

BMC Med Genomics

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“…It has been proven that hsa_circ_0005752 could regulate osteogenic differentiation, as verified by alkaline phosphatase (ALP) and alizarin red S (ARS) staining assays (32). The hsa_circ_0005752/miR-496/MDM2 network plays a significant role in accelerating osteogenic differentiation.…”

Section: Runx1 and Runx3mentioning

confidence: 98%

“…The hsa_circ_0005752/miR-496/MDM2 network plays a significant role in accelerating osteogenic differentiation. It is worth noting that RUNX3 could enhance the level of hsa_circ_0005752 and then promote osteogenic differentiation (32). On the contrary, knockdown of hsa_circ_0005752 partially antagonizes the function (32).…”

Section: Runx1 and Runx3mentioning

confidence: 99%

“…It is worth noting that RUNX3 could enhance the level of hsa_circ_0005752 and then promote osteogenic differentiation (32). On the contrary, knockdown of hsa_circ_0005752 partially antagonizes the function (32). In the meantime, hsa_circRNA_33287 may also affect the osteogenesis under the control of the ceRNA mechanism in maxillary sinus membrane stem cells (MSMSCs), which combines miR-214-3p and Runx3 by forming the hsa_circRNA_33287/miR-214-3p/Runx3 circuit (33).…”

Section: Runx1 and Runx3mentioning

confidence: 99%

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The roles of circRNA–miRNA–mRNA networks in the development and treatment of osteoporosis

Gao¹,

Zhang

Sun³

et al. 2022

Front. Endocrinol.

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Osteoporosis is a systemic metabolic disease, mainly characterized by reduced bone mineral density and destruction of bone tissue microstructure. However, the molecular mechanisms of osteoporosis need further investigation and exploration. Increasing studies have reported that circular RNAs (circRNAs), a novel type of RNA molecule, play crucial roles in various physiological and pathological processes and bone-related diseases. Based on an in-depth understanding of their roles in bone development, we summarized the multiple regulatory roles and underlying mechanisms of circRNA–miRNA–mRNA networks in the treatment of osteoporosis, associated with bone marrow mesenchymal stem cells (BMSCs), osteoblasts, and osteoclasts. Deeper insights into the vital roles of circRNA–miRNA–mRNA networks can provide new directions and insights for developing novel diagnostic biomarkers and therapeutic targets in the treatment of osteoporosis.

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“…osteogenesis) and pathological process (e.g. osteoporosis) by regulatory BMPs signal pathways ( Table 3 ) [ [68] , [69] , [70] , [71] , [72] ].…”

Section: Circrnas and Bmp Signaling Pathwaymentioning

confidence: 99%

Functions of the bone morphogenetic protein signaling pathway through non-coding RNAs

Мухаметов

Lyulin²,

Borzunov³

et al. 2022

Non-coding RNA Research

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RUNX3 derived hsa_circ_0005752 accelerates the osteogenic differentiation of adipose-derived stem cells via the miR-496/MDM2-p53 pathway

Cited by 7 publications

References 34 publications

Identification and validation of iron metabolism genes in osteoporosis

Identification and validation of iron metabolism genes in osteoporosis

The roles of circRNA–miRNA–mRNA networks in the development and treatment of osteoporosis

Functions of the bone morphogenetic protein signaling pathway through non-coding RNAs

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