School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Nutrients. 2024 Jul 31;16(15):2500. doi: 10.3390/nu16152500.
Excessive fluoride exposure induces skeletal fluorosis, but the specific mechanism responsible is still unclear. Therefore, this study aimed to identify the pathogenesis of fluoride-induced bone injuries.
We systematically searched fluoride-induced bone injury-related genes from five databases. Then, these genes were subjected to enrichment analyses. A TF (transcription factor)-mRNA-miRNA network and protein-protein interaction (PPI) network were constructed using Cytoscape, and the Human Protein Atlas (HPA) database was used to screen the expression of key proteins. The candidate pharmacological targets were predicted using the Drug Signature Database.
A total of 85 studies were included in this study, and 112 osteoblast-, 35 osteoclast-, and 41 chondrocyte-related differential expression genes (DEGs) were identified. Functional enrichment analyses showed that the Atf4, Bcl2, Col1a1, Fgf21, Fgfr1 and Il6 genes were significantly enriched in the PI3K-Akt signaling pathway of osteoblasts, Mmp9 and Mmp13 genes were enriched in the IL-17 signaling pathway of osteoclasts, and Bmp2 and Bmp7 genes were enriched in the TGF-beta signaling pathway of chondrocytes. With the use of the TF-mRNA-miRNA network, the Col1a1, Bcl2, Fgfr1, Mmp9, Mmp13, Bmp2, and Bmp7 genes were identified as the key regulatory factors. Selenium methyl cysteine, CGS-27023A, and calcium phosphate were predicted to be the potential drugs for skeletal fluorosis.
These results suggested that the PI3K-Akt signaling pathway being involved in the apoptosis of osteoblasts, with the IL-17 and the TGF-beta signaling pathways being involved in the inflammation of osteoclasts and chondrocytes in fluoride-induced bone injuries.
过量氟暴露会导致氟骨症,但具体的发病机制仍不清楚。因此,本研究旨在探讨氟诱导骨损伤的发病机制。
我们系统地从五个数据库中搜索氟诱导骨损伤相关基因。然后,对这些基因进行富集分析。使用 Cytoscape 构建 TF(转录因子)-mRNA-miRNA 网络和蛋白质-蛋白质相互作用(PPI)网络,并使用 Human Protein Atlas(HPA)数据库筛选关键蛋白的表达。使用 Drug Signature Database 预测候选药物靶标。
本研究共纳入 85 项研究,鉴定出 112 个成骨细胞、35 个破骨细胞和 41 个软骨细胞相关差异表达基因(DEGs)。功能富集分析显示,Atf4、Bcl2、Col1a1、Fgf21、Fgfr1 和 Il6 基因在成骨细胞的 PI3K-Akt 信号通路中显著富集,Mmp9 和 Mmp13 基因在破骨细胞的 IL-17 信号通路中富集,Bmp2 和 Bmp7 基因在软骨细胞的 TGF-β 信号通路中富集。通过 TF-mRNA-miRNA 网络,鉴定出 Col1a1、Bcl2、Fgfr1、Mmp9、Mmp13、Bmp2 和 Bmp7 基因作为关键调控因子。预测硒甲基半胱氨酸、CGS-27023A 和磷酸钙可能是氟骨症的潜在药物。
这些结果表明,PI3K-Akt 信号通路参与氟诱导骨损伤中成骨细胞的凋亡,IL-17 和 TGF-β 信号通路参与氟诱导骨损伤中破骨细胞和软骨细胞的炎症反应。