GA can reduce the level of OS induced by excessive GCs through the activation of the Wnt/β-catenin signaling pathway, thereby maintaining the osteolipogenic homeostasis of MSCs.
Gujian oral liquid (GJ), a traditional herbal formula in China, has been widely used to treat patients with osteoarthritis (OA). Nevertheless, the active component and potential mechanism of GJ are not fully elucidated. Thus, we investigate the effect of GJ and explore its underlying mechanism on OA through network pharmacology and experimental validation. First, a total of 175 bioactive compounds were identified, and 134 overlapping targets were acquired after comparing the targets of the GJ with those of OA. 8 hub targets, including IL6 and AKT1, were obtained in PPI network analysis. Then, we built up GJ-target-OA network and protein-protein interaction (PPI) network, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The results underlined inflammatory tumor necrosis factor (TNF) as a promising signaling pathway of GJ for OA treatment. Moreover, molecular docking also verified the top two active compounds had direct bindings with the top three target genes. Finally, we verified the effect of GJ on OA in vivo and in vitro. In vivo experiments validated that GJ not only significantly attenuated OA phenotypes including articular cartilage degeneration and subchondral bone sclerosis but also reduced the expressions of tumor necrosis factor-α (TNF-α) and p-p65 in articular chondrocytes. Besides, GJ serum also had a protective effect on chondrocytes against inflammation caused by TNF-α in vitro. Hence, our study predicted and verified that GJ could exert anti-inflammation and anticatabolism effects partially via regulating TNF-α/NF-kappa B (NF-κB) signaling.
Background
This study aims to develop nomogram models based on the speed of sound (SOS) measurements results along with demographic information to predict the risk of low bone strength (LBS) of radius appropriate to the Chinese population of a broad age spectrum.
Methods
A population-based cross-sectional study was conducted in 5 outpatient clinics located in Zhejiang, the southern part of China. A total of 38,699 participants from 2013 to 2017 were included. Baseline measurements included SOS of the distal radius and clinical risk factor evaluation. Logistic regression models were used to evaluate prognosis and identify independent predictive factors, which were then utilized to establish nomograms for predicting the low bone strength of radius. The discrimination and calibration of nomograms were validated using the calibration plots, the decision curve analysis (DCA), and the receiver operating characteristics curve (ROC).
Results
A total of 19,845 of the 38,904 participants ranged in age from 10 to 88 years were selected in this process. LBP nomogram model 1 was constructed based on age, weight, height, BMI, and gender. LBP nomogram model 2 was constructed based on age, height, BMI, and gender. The AUCs for model 1 and model 2 were 0.838 (95% CI: 0.832–0.844) and 0.837 (95% CI: 0.831–0.843), respectively. High-quality calibration plots and DCA in nomogram models were noticed, indicated that the constructed nomogram models were clinically useful.
Conclusions
Our study demonstrates that the nomograms established in this study could effectively evaluate the high-risk population groups of distal radius fracture in China.
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