1.Wnt5a involves the inflammation process and bone destruction in chronic periodontitis
Journal of Practical Stomatology 2015;(1):112-115
Objective:To study the expression of Wnt5a in gingival tissues of the patients with chronic periodontitis.Methods:Wnt5a expression was tested with RT-PCR and Western-Blot in gingival tissues in 20 cases of chronic periodontitis and 20 correspond-ing normal tissues.Results:In the gingival tissues of chronic periodontitis cases Wnt5a overexpression was found comparing with nor-mal tissues(P <0.05).The higher clinical attachment loss was correlated with the higher expression of Wnt5a.Conclusion:Wnt5a may affect the course of the inflammatory process and alveolar bone destruction in patients with chronic periodontitis.
2.Expression of Wnt3a in chronic periodontitis and its clinical significance
Tianjin Medical Journal 2015;(8):883-885
Objective To study the expression of Wnt3a in chronic periodontitis patients and its clinical significance. Methods Wnt3a expression was examined by RT-PCR and Western-Blot in 15 cases of chronic periodontitis gingival tis?sues and 15 normal tissues. Probe depth and attachment loss were also compared between these two groups. Correlation be?tween Wnt3a expression and attachment lose were also analyzed. Results Probe depth was deeper in chronic periodonititis groups than that in control group(mm:7.93±1.56 vs 1.83±0.37). Attachment loss was(7.76±1.34)mm in chronic periodonti?tis group while it was not seen in control gorup. Wnt3a was lower both in transcription level(0.49±0.03 vs 0.36±0.04)and expression level(0.57±0.14 vs 0.43±0.17, P<0.05) in chronic periodonitis tissue compared with that in normal tissues. The higher clinical attachment loss was negatively correlated with expression of Wnt3a (r=-0.564,P=0.028). Conclusion Wnt3a is expressed less in chronic periodontitis than that in control group. Wnt3a plays an important role in attachment loss and bone absorption.
3.The effective components of Chinese medicine combined with scaffold materials promote bone tissue regeneration
Xinyu DONG ; Xinyue DONG ; Wanting WANG ; Haixia FAN ; Huanzhi CHENG
Chinese Journal of Tissue Engineering Research 2024;28(20):3240-3245
BACKGROUND:With the proven ability of traditional Chinese medicine such as icariin and berberine to promote bone regeneration by regulating various mechanisms and targets,researchers have combined active ingredients of traditional Chinese medicine with bone tissue engineering and found that they have unique advantages in treating bone defects. OBJECTIVE:Starting from the active ingredients of traditional Chinese medicines that promote bone formation,to screen cases of their effective combination with different drug-carrying scaffold materials,and summarize the active ingredients of traditional Chinese medicines that have the potential to be applied to bone tissue engineering. METHODS:CNKI,WanFang,PubMed,and Web of Science were searched for relevant literature published from 2000 to 2023,using the keywords of"bone tissue engineering,bone tissue-engineered scaffold materials,bone defect,bone repair,bone regeneration,traditional Chinese medicine"in Chinese and English.According to the inclusion and exclusion criteria,87 papers were finally included for review. RESULTS AND CONCLUSION:There are various kinds of active ingredients of traditional Chinese medicine to promote bone regeneration,mainly including flavonoids,non-flavonoid polyphenols,alkaloids,glycosides.These active ingredients have anti-inflammatory and analgesic effects,promote osteoblasts,inhibit osteoclasts and promote early angiogenesis.The combination of active ingredients of traditional Chinese medicine with bone tissue engineering is effective in anti-inflammation,accelerating collagen and bone formation,and promoting the expression of osteogenic genes,which provides a theoretical basis for the application of traditional Chinese medicine in bone tissue regeneration,and at the same time provides a new idea for the repair of bone defects.
4.Development and validation of risk prediction model for carbapenem-resistant Klebsiella pneumoniae infection
Yinzhu MO ; Xianxiong CHENG ; Cangsang SONG ; Shijie LYU ; Baojun REN ; Zhiwei LI ; Jinying BAO ; Huanzhi YANG
China Pharmacy 2025;36(14):1786-1791
OBJECTIVE To investigate the independent risk factors for carbapenem-resistant Klebsiella pneumoniae (CRKP) infection, develop a nomogram prediction model and validate it. METHODS Clinical data of hospitalized patients infected with CRKP between April 2020 and May 2023 at Kunming First People’s Hospital were retrospectively collected and matched 1∶1 with patients infected with carbapenem-susceptible Klebsiella pneumoniae (CSKP) during the same period as the modeling group. Using the same criteria, data from patients hospitalized and infected with CRKP and matched CSKP between June 2023 and June 2024 were collected as the validation group. Univariate analysis, LASSO regression and multivariate Logistic regression were conducted to identify independent risk factors for CRKP infection and to develop a nomogram prediction model. Internal validation of the model was performed using Bootstrap resampling, and external validation was carried out using the data of validation group. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curves and calibration plots. RESULTS A total of 530 patients were enrolled, with 372 in the modeling group and 158 in the validation group. Cerebrovascular disease, indwelling gastric tube, mechanical ventilation, exposure to carbapenem antibiotics, and exposure to β-lactamase inhibitor compound agents were identified as independent risk factors for CRKP infection (P<0.05). The nomogram predicting CRKP infection risk achieved an area under ROC of 0.729 and 0.803 in internal and external validations, respectively. Calibration curves indicated a high degree of consistency between predicted and observed probabilities. CONCLUSIONS Cerebrovascular disease, indwelling gastric tube, mechanical ventilation, exposure to carbapenem antibiotics, and exposure to β-lactamase inhibitor compound agent are independent risk factors for CRKP infection. The developed nomogram model for predicting CRKP infection risk demonstrates good predictive performance and can aid in the early identification of patients at high risk for CRKP infection.