1.Application of chitosan in repair and regeneration of oral hard and soft tissues
Zhuo WANG ; Panpan SUN ; Huanzhi CHENG ; Tingting CAO
Chinese Journal of Tissue Engineering Research 2026;30(2):459-468
BACKGROUND:Chitosan has a place in the biomedical field due to its good biological properties and unique physicochemical properties,especially in tissue engineering and drug delivery with good application prospects.OBJECTIVE:To summarize the research progress of the role of chitosan in the repair and regeneration of oral soft and hard tissues.METHODS:A computerized search of CNKI and PubMed databases was performed with the search terms"chitosan,oral mucosal diseases,periodontal diseases,tissue regeneration,bacteriostatic,drug carrier,wound healing"in Chinese and English.The search time limit was from 2010 to 2024.After screening according to the inclusion and exclusion criteria,88 articles were finally included for summary analysis.RESULTS AND CONCLUSION:Chitosan is a promising biomaterial in bone and pulp regeneration as it has the ability to stimulate the recruitment and adhesion of osteogenic progenitor cells and dental pulp stem cells.Chitosan prevents caries,periodontal disease,and candidiasis by inhibiting Streptococcus pyogenes,Porphyromonas gingivalis,and Candida in the oral cavity.Chitosan nanocomposites have higher stability,better biocompatibility,and slow-release properties of drugs and can be enhanced by combining with other chemical reagents to enhance their anticancer properties.Chitosan possesses drug delivery,antibacterial activity,hemostasis and wound healing,which in turn can block the erosion of wounds by saliva and oral flora,relieve pain,repair and promote wound healing.Chitosan promotes the deposition of calcified material,which is conducive to the remineralisation of enamel and dentin.
2.Application of chitosan in repair and regeneration of oral hard and soft tissues
Zhuo WANG ; Panpan SUN ; Huanzhi CHENG ; Tingting CAO
Chinese Journal of Tissue Engineering Research 2026;30(2):459-468
BACKGROUND:Chitosan has a place in the biomedical field due to its good biological properties and unique physicochemical properties,especially in tissue engineering and drug delivery with good application prospects.OBJECTIVE:To summarize the research progress of the role of chitosan in the repair and regeneration of oral soft and hard tissues.METHODS:A computerized search of CNKI and PubMed databases was performed with the search terms"chitosan,oral mucosal diseases,periodontal diseases,tissue regeneration,bacteriostatic,drug carrier,wound healing"in Chinese and English.The search time limit was from 2010 to 2024.After screening according to the inclusion and exclusion criteria,88 articles were finally included for summary analysis.RESULTS AND CONCLUSION:Chitosan is a promising biomaterial in bone and pulp regeneration as it has the ability to stimulate the recruitment and adhesion of osteogenic progenitor cells and dental pulp stem cells.Chitosan prevents caries,periodontal disease,and candidiasis by inhibiting Streptococcus pyogenes,Porphyromonas gingivalis,and Candida in the oral cavity.Chitosan nanocomposites have higher stability,better biocompatibility,and slow-release properties of drugs and can be enhanced by combining with other chemical reagents to enhance their anticancer properties.Chitosan possesses drug delivery,antibacterial activity,hemostasis and wound healing,which in turn can block the erosion of wounds by saliva and oral flora,relieve pain,repair and promote wound healing.Chitosan promotes the deposition of calcified material,which is conducive to the remineralisation of enamel and dentin.
3.Association of outdoor activity time and sleep duration with screening myopia in primary school students
LIU Xiaoling, LI Tingting, CAO Caiyun, YANG Feng, TAO Shuman, WU Xiaoyan, XU Shaojun, TAO Fangbiao
Chinese Journal of School Health 2026;47(2):279-282
Objective:
To explore the association of outdoor activity time and sleep duration with screening myopia in primary school students, so as to provide strategies for myopia prevention.
Methods:
Through a convenience sampling method, a survey was conducted among 4 248 primary school students aged 7-13 years from three primary schools in Xihu District, Nanchang City, Jiangxi Province from May to July, 2023. The average daily outdoor activity time and sleep duration on both weekdays and weekends were investigated in primary school students by using a self designed questionnaire. Uncorrected visual acuity tests and non cycloplegic autorefraction were measured by professional optometrists. Inter group comparisons were conducted using the Chi square test. Logistic regression model was used to analyze the association of outdoor activity time and sleep duration with screening myopia.
Results:
The detection rate of screening myopia in primary school students was 33.6%, with the rate in boys (32.0%) lower than that in girls (35.3%), and the difference was statistically significant ( χ 2=5.11, P =0.02). The analysis results of Logistic regression showed that after adjusting for factors such as gender, grade and parental education level, both average daily outdoor activity time <2 h on both weekdays and weekends ( OR =1.27, 95% CI =1.11-1.46) and sleep duration <10 h ( OR =1.17, 95% CI =1.01- 1.35 ), as well as their combined effect ( OR =1.57, 95% CI =1.25-1.98), were associated with an increased risk of screening myopia in primary school students(all P <0.05). Subgroup analysis results indicated that compared to boys ( OR =1.46, 95% CI = 1.07 -1.99), girls( OR =1.73, 95% CI =1.22-2.44) with insufficient outdoor activity time and sleep duration had a higher risk of screening myopia(both P <0.05).
Conclusions
There is a negative correlation of outdoor activity time and sleep duration with screening myopia in primary school students. Outdoor activity time and extending sleep duration should be increased to reduce the risk of myopia in primary school students.
4.New advances in the treatment of neonatal diabetes mellitus with sulfonylureas
Xiaoyan HU ; Jinbo XIANG ; Xiaoxia ZHU ; Zheng LI ; Tingting CAO ; Ting DING ; Ziran XU ; Jingbo LI ; Youjun YANG
China Pharmacy 2026;37(9):1236-1240
Neonatal diabetes mellitus (NDM) is a rare monogenic disorder primarily caused by insufficient insulin secretion resulting from mutations in the KCNJ11 and ABCC8 genes. Sulfonylureas, represented by glibenclamide, have become the standard therapy for this type of NDM by precisely closing the mutated ATP-sensitive potassium channels in pancreatic β cells, thereby restoring insulin secretion. Clinical studies confirm that sulfonylureas enable over 90% of patients to successfully transition from insulin to oral treatment, achieving long-term stable glycemic control and improving neurological outcomes to a certain extent. In terms of safety, severe hypoglycemia induced by sulfonylureas is relatively rare and gastrointestinal reactions are mild; moreover, sulfonylureas show good long-term tolerability, and have no adverse effects on child growth and development. In the future, by further refining the full-chain management pathway of “rapid genetic diagnosis-early intervention-specialized dosage forms-long-term follow-up”, the clinical application of sulfonylureas is expected to provide NDM patients with an optimized treatment regimen and maximize their health benefits.
5.Research progress on biomarkers of transthyretin cardiac amyloidosis
Tingting WANG ; Ying WANG ; Yunfeng CAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(09):1508-1514
Transthyretin cardiac amyloidosis (ATTR-CA) is a restrictive cardiomyopathy caused by the abnormal deposition of transthyretin (TTR) in the myocardial interstitium, which often manifests as heart failure, atrial fibrillation, and conduction disorders. The significant heterogeneity of its clinical presentation poses a major challenge to accurate diagnosis. The dissociation of the TTR tetramer is the key initiating step of amyloid deposition in ATTR-CA, but the TTR tetramer is not currently included among the clinically applied biomarkers. This article systematically reviews the conventional biomarkers for ATTR-CA and focuses on discussing the potential value of the TTR tetramer as a novel indicator. Investigating the concentration, peak profile, and dissociation rate of the TTR tetramer is of great value for achieving early identification, risk stratification, and prognostic judgment of ATTR-CA.
6.Comparative study on the short-term efficacy of transanal natural orifice specimen extraction surgery and conventional laparoscopic surgery in left-sided colon cancer
Tingting FU ; Jingwen CHANG ; Yibo CAO ; Tiantian BAO ; Tianbao XIAO ; Jiang CHEN ; Jian PENG
China Journal of Endoscopy 2025;31(7):1-10
Objective To compare the short-term efficacy and safety of transanal natural orifice specimen extraction surgery(Ta-NOSES)and conventional laparoscopic surgery in left-sided colon cancer.Methods A retrospective analysis was conducted on the clinical data of 35 patients with left-sided colon cancer admitted to the anorectal department of the hospital from January 2018 to December 2019.According to the different surgical methods,the patients were divided into experimental group(15 cases)and control group(20 cases).The observation group underwent Ta-NOSES,and the control group underwent conventional laparoscopic surgery.The perioperative related indicators,postoperative complications,postoperative pain scores,postoperative defecation control,short-term postoperative quality of life scores and 5-year postoperative follow-up of the two groups of patients were compared.Results There was no statistically significant difference in the intraoperative blood loss,stoma status and the number of lymph node dissections between the two groups of patients(P>0.05).Moreover,no permanent stoma occurred in either group of patients.The operation time of the experimental group was longer than that of the control group,the first time to get out of bed and move around,the time of the first anal exhaust,the time of the first diet intake and the hospital stay were shorter than those of the control group,the hospitalization cost was significantly lower than that of the control group,the differences were statistically significant(P<0.05).On 1 and 3 days after operation,the VAS scores of the experimental group were significantly lower than those of the control group.At 3 days after operation,the VAS scores of the two groups were significantly lower than those at 1 day after operation,and the differences were statistically significant(P<0.05).There was a statistically significant difference in postoperative Kirwan anal function grading between two groups of patients(P<0.05),with the experimental group having a better grading(higher proportion of grade Ⅰ),the control group had poor grading(with a higher proportion of grades Ⅱ,Ⅲ,and Ⅳ).There was no statistically significant difference in postoperative complications between the two groups of patients(P>0.05).The scores of each item on the Short Form-36(SF-36)in the experimental group were higher than those in the control group at 10 and 20 days after surgery(P<0.05).There was no statistically significant difference in the scores of each item on the SF-36 between the two groups at 30 days after surgery(P>0.05).The distant recurrence rate after surgery in the experimental group was 26.7%,compared with 25.0%in the control group,the difference was not statistically significant(P>0.05).There were no tumor recurrence cases with the original incision site,rectal and intestinal cavity,pelvic cavity and other specimen removal routes in both groups.The 5-year survival rate of the experimental group was 73.3%,which was not statistically significantly different from that of the control group(70.0%)(P>0.05).Conclusion Ta-NOSES in the treatment of left-sided colon cancer can alleviate postoperative pain compared with conventional laparoscopic surgery,promote the recovery of postoperative gastrointestinal function,improve the utilization rate of medical resources,reduce the economic burden of patients,improve the short-term quality of life after surgery,and does not increase the risks of postoperative complications and tumor metastasis and recurrence.It is worthy of clinical promotion and application.
7.A machine learning-based model for predicting the risk of diabetic kidney disease in type 2 diabetes mellitus
Tingting LI ; Peng SU ; Jinbo CHEN ; Xiaoyan HE ; Yi CAO ; Xin ZHANG ; Qingling TANG ; Xubin MIAO ; Xiaohua LIANG ; Dong MA
Chinese Journal of Diabetes 2025;33(4):241-247
Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853~0.891,0.865~0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.
8.Scale-invariant feature-enhanced deep learning framework for oral mucosal lesion segmentation
Rui ZHANG ; Lu JIN ; Qianming CHEN ; Tingting DING ; Qiyue ZHANG ; Yaowu CHEN ; Xiang TIAN ; Yuqi CAO ; Xiaoyan CHEN ; Fudong ZHU
Chinese Journal of Stomatology 2025;60(3):239-247
Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.
9.Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways
Boer QI ; Qing WANG ; Ju WANG ; Tingting LI ; Yanlin CAO ; Rui SHEN ; Li QI ; Jiang LONG ; Weizhong YANG ; Luzhao FENG
Chinese Journal of Epidemiology 2025;46(5):914-920
The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.
10.Status and factors influencing postoperative kinesiophobia in patients with ankle fracture and its nursing countermeasures
Tingting HAN ; Mingyu CAO ; Jishuai LIU ; Yaqiong ZHAO
Modern Clinical Nursing 2025;24(9):27-33
Objective To investigate status of postoperative kinesiophobia in patients with ankle fracture and to identify the factors influencing kinesiophobia,thereby offering references for developing targeted nursing interventions.Methods A cross-sectional study was conducted between June 2023 and May 2024.With convenience sampling,338 first-time ankle fracture patients who received surgical treatment were recruited from a Tier-IIIA orthopaedic hospital in Xinjiang.Data was collected among the patients at 24 hours after surgery through the general information questionnaire,kinesiophobia scoring scale,pain visual analogue scale,hospital anxiety and depression scale,social support rating scale and general self-efficacy scale.Logistic regression was employed to identify factors influencing kinesiophobia.Results A total of 320 patients completed the study.The prevalence among the patients with kinesiophobia was 38.1%,and scored at(39.6±1.5).Logistic regression analysis identified that the pain,social support and self-efficacy were the independent risk factors of kinesiophobia(all P<0.05).Conclusion Patients with ankle fractures have a high prevalence of postoperative kinesiophobia.Pain,social support and self-efficacy are the key factors that influence kinesiophobia.Intervention strategies should be adopted in response to the influencing factors in order to promote the recovery of patients.


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