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.

Objective: To explore the setting of gray zone of Treponema pallidum (TP) testing by retrospective analysis of blood donors with single reagent reactive anti-TP results, so as to improve blood utilization and supply safety. Methods: Blood samples were collected from 112 blood donors previously deferred due to single reagent reactive TP antibody results between January 2020 and December 2023, and subjected to dual ELISA reagents and TPPA test. The gray zone panel analysis was performed on the two ELISA reagents currently used in our department. The detection rate at each concentration of the gray zone panle was counted, and the corresponding concentrations for C , C , and C and gray zone cut-off were calculated. Results: Among the 50 samples deferred by reagent 1, 19 were confirmed reactive and 31 non-reactive in supplementary testing. Among the 62 samples deferred by reagent 2, 12 were confirmed reactive and 50 non-reactive in supplementary testing. For reagent 1, the detection rate of was 56% for S/CO≥1 and 20% for 0.5≤S/CO<1, retrospectively. For reagent 2, the detection rate was 27% for S/CO≥1 and 12.5% for 0.5≤S/CO<1, retrospectively. The detection rate for S/CO≥1 was higher than those for 0.5≤S/CO<1 for both reagents. All the 112 samples were negative in TPPA test. The C concentration of reagent 1 was 1.51 mIU/mL, and the concentration range of C ±20% was 1.21-1.81 mIU/mL. The C concentration of reagent 2 was 1.45 mIU/mL, and the concentration range of C ±20% was 1.16-1.74 mIU/mL. The C and C concentration of both reagents were within the C ±20% range, suggesting that the gray zone cutoff for both Reagent 1 and Reagent 2 should be set at S/CO=0.8 (80% of the CO value). Conclusion: All anti-TP single reagent reactive samples with S/CO value within the gray zone was tested negative by TPPA. It is necessary to consider the rationality and necessity of establishing the gray zone, so as to ensure blood safety and improve the utilization rate of blood resources.

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.

Objective: To analyze the status of Treponema pallidum (TP) infection among blood donors in Hefei area by evaluating anti-TP reactive donors, and to provide data support for blood screening strategies, evaluation of reagent application, and public health prevention and control strategies. Methods: TPPA confirmation test were performed on 338 anti-TP positive samples of voluntary blood donors at Anhui Blood Center from February to April 2022, July to October 2022, February to June 2023. RPR tests were conducted on samples positive for TPPA. The test results, co-reactivity of TP with HBV, HCV, and HIV, and demographic characteristics of the donors were statistically analyzed. Results: The unqualified rate of anti-TP among blood donors in Hefei area was 0.30% (405/133 587), and the positive rate for TPPA was 67.46% (228/338). Among the TPPA-positive donors, 31.67% were RPR-positive. The co-positive rates of HBV, HCV and HIV in anti-TP reactive blood donors were 0.74% (3/405), 0.49% (2/405), and 1.73% (7/405), respectively, with HIV copositivity being the most common. Most co-positive donors were males aged 31-50 years with a high school education or lower, and all were first-time whole blood donors. Conclusion: The anti-TP unqualified rate among blood donors in Hefei area is at a low-to-mederate level. HIV is the most common co-infection with TP among anti-TP positive donors. The majority of co-infected donors are middle-aged men donating whole blood for the first time.

ObjectiveTo investigate the current status of assistive device use and unmet needs among persons with disabilities in Sichuan-Chongqing region, and to identify the key factors associated with satisfaction with these devices. MethodsFrom October, 2024 to February, 2025, quota sampling was adopted to recruit 1 040 persons with disabilities in Sichuan and 260 persons with disabilities in Chongqing. Telephone and online questionnaires were used to collect data on demographic characteristics, status of assistive device utilization and unmet assistive device needs, as well as satisfaction with assistive device use. Correlation analysis, multiple linear regression analysis and structural equation modeling were performed to identify key factors associated with satisfaction. ResultsA total of 1 186 valid responses were collected, of which 942 were from Sichuan Province and 244 from Chongqing Municipality. The utilization rate of assistive devices among persons with disabilities in Sichuan-Chongqing region was 61.9%, and the rate of unmet assistive device needs was 30.6%. The assistive device utilization rate of participants with agricultural household registration (57.98%) was lower than that of participants with non-agricultural household registration (66.86%). The utilization rate showed a J-shaped upward trend with the increase of educational attainment. Educational attainment (P = 0.002), perceived usefulness of assistive devices (P < 0.001), home living environment (P < 0.001), public environment (P < 0.001) and disability type (significant differences were found in visual and hearing disabilities compared with physical disability, P < 0.05) were key predictors of satisfaction with assistive device use. The impact of public environment on satisfaction was exerted through two indirect mediating paths: mediating effect via perceived usefulness of assistive devices (ind₁ = 0.357, 95%CI 0.279 to 0.437, P < 0.001), contributing approximately 70% of the total indirect effect; mediating effect via home living environment (ind₂ = 0.129, 95%CI 0.006 to 0.242, P = 0.038), contributing approximately 25% of the total indirect effect. ConclusionThere is a structural imbalance between assistive device use and demand in Sichuan-Chongqing region. People with psycho-intellectual disabilities are most likely to be excluded from the service chain because they neither perceive need nor access information. Education exerts a robust positive effect on both adoption and satisfaction, so training content must be tailored to different educational levels. Satisfaction is shaped by disability type, device usefulness and environmental factors. Future product development should therefore integrate functional and psychosocial dimensions. Priority should be given to micro-scale home-and-community accessibility retrofits before extending upward to public transportation and employment settings, to maximize the cost-effectiveness of limited funds.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

OBJECTIVE To establish standards for the rational use of Compound amino acid injection （14AA-SF） （hereinafter referred to as “14AA-SF”）， and evaluate its rationality and cost-effectiveness.METHODS The standards for the rational use of 14AA-SF were established based on the Delphi method. Archived medical records of patients who used 14AA-SF in the Dept. of Neurosurgery of People’s Hospital of Bozhou from January 2024 to December 2025 were randomly selected. On the basis of the established standards for the rational use， the attribute hierarchical model was applied to evaluate the use rationality of 14AA-SF in the included medical records. The decision tree model was applied to calculate the incremental cost-effectiveness ratio （ICER）， so as to evaluate the cost-effectiveness of 14AA-SF administered via single-bottle infusion versus “all-in-one” infusion， and the robustness of the cost-effectiveness evaluation results was verified through sensitivity analysis.RESULTS A total of 205 medical records were collected， among which 163 records （79.51%） were qualified with medical record score （MRS） ≥90， and 42 records （20.49%） were unqualified with MRS ＜90. The main irrational types of 14AA-SF use included unreasonable infusion method （67 case-times， accounting for 32.68%）， unreasonable amino acid dosage （62 case-times， accounting for 30.24%） and unreasonable non-protein calorie-nitrogen ratio （55 case-times， accounting for 26.83%）. Compared wtih single-bottle infusion， the incremental cost of “all-in-one” infusion for each 1% increase in effective rate was 165.40 yuan. The one-way sensitivity analysis showed that the effective rate of single-bottle infusion had the greatest impact on ICER. The probabilistic sensitivity analysis showed that under the willingness-to-pay （WTP） threshold （89 358 yuan） set in this study， the cost-effectiveness probability of “all-in-one” infusion relative to single-bottle infusion was 89.9%. When the WTP threshold exceeds 17 871.60 yuan， the “all-in-one” infusion is more cost-effective than the single-bottle infusion.CONCLUSIONS The established standards for the rational use of 14AA-SF are practical and feasible. There are phenomena of irrational use of 14AA-SF in Dept. of Neurosurgery of the hospital in terms of indications， nutritional risk screening， infusion methods and other aspects， which need to be further standardized. The “all-in-one” infusion is more cost-effective than the single-bottle infusion.

ObjectiveTo investigate the value of albumin-bilirubin （ALBI） score combined with platelet count-to-spleen thickness ratio （PC/ST） in predicting rebleeding within one year after endoscopic variceal ligation in liver cirrhosis patients with esophagogastric variceal bleeding （EVB）， to evaluate the risk assessment ability of this model， and to provide a reference for clinical prevention of rebleeding. MethodsA retrospective analysis was performed on the clinical data of liver cirrhosis patients with EVB who were hospitalized in Gansu Provincial Hospital from January 1， 2020 to December 31， 2024. All patients achieved successful hemostasis after endoscopic variceal ligation， and according to whether rebleeding occurred within one year after surgery， they were divided into rebleeding group and non-rebleeding group. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The univariate and multivariate Cox regression analyses were used to identify independent influencing factors for rebleeding. A prediction model was constructed based on the factors identified， and a nomogram was plotted for model visualization. The receiver operating characteristic （ROC） curve was used to assess the discriminatory ability of the model， and the area under the ROC curve （AUC） was calculated； calibration curve was used to assess calibration； decision curve analysis was used to assess the net clinical benefit of the model. ResultsA total of 258 patients were enrolled， among whom 70 patients experienced rebleeding within one year， resulting in a rebleeding rate of 27.1%. The multivariate Cox regression analysis showed that ALBI score （hazard ratio ［HR］=4.679， 95% confidence interval ［CI］： 2.952 — 7.417， P<0.001） and PC/ST （HR=0.461， 95%CI： 0.318 — 0.668， P<0.001） were independent influencing factors for rebleeding in liver cirrhosis patients with EVB. The model constructed based on these two factors yielded an AUC of 0.766 （95%CI： 0.667 — 0.866）， 0.775 （95%CI： 0.699 — 0.851）， and 0.809 （95%CI： 0.752 — 0.866）， respectively， for predicting the risk of rebleeding at 6 weeks， 6 months， and 1 year. The calibration curve showed that the model systematically underestimated the probability of rebleeding at 6 weeks and 6 months， but its prediction for the probability of rebleeding at 1 year aligned well with the ideal curve. The decision curve analysis showed that the model provided a clear net clinical benefit for predicting rebleeding within 1 year. ConclusionThe model constructed based on ALBI score and PC/ST had good performance in predicting the risk of rebleeding within 1 year after endoscopic variceal ligation in liver cirrhosis patients with EVB.

ObjectiveTo screen and identify uridine diphosphate （UDP）-rhamnose synthase （RHM） genes from Ornithogalum saundersiae and verify their UDP-rhamnose （UDP-Rha） biosynthetic functions， thereby providing reliable candidate genes for the efficient biosynthesis of neohesperidin and other rhamnoside natural products. MethodsBased on previously reported plant RHM sequences， two candidate RHM genes， OsRHM1 and OsRHM2， were identified from O. saundersiae through transcriptome screening and sequence alignment. The two genes were cloned and subjected to bioinformatics analysis and multiple sequence alignment. An in vitro RHM-Cm1，2RhaT cascade reaction was established， and the ability of OsRHM1 and OsRHM2 to catalyze the conversion of UDP-glucose （UDP-Glc） to UDP-Rha was evaluated based on neohesperidin production. Real-time fluorescence quantitative polymerase chain reaction PCR （Real-time PCR） was performed to analyze the relative expression levels of the two genes in roots， bulbs， and leaves. ResultsThe open reading frame （ORF） of OsRHM1 was 2 076 bp and encoded 692 amino acids， with a predicted protein molecular mass of 77.97 kDa and a theoretical isoelectric point of 7.25. The ORF of OsRHM2 was 2 019 bp and encoded 673 amino acids， with a predicted protein molecular mass of 75.82 kDa and a theoretical isoelectric point of 7.24. Multiple sequence alignment showed that OsRHM1 and OsRHM2 contained the typical conserved motifs GxxGxxG/A and YxxxK of the plant RHM family and shared high amino acid sequence identity with previously reported RHMs. The in vitro cascade reaction demonstrated that both OsRHM1 and OsRHM2 were capable of catalyzing the conversion of UDP-Glc to UDP-Rha. The neohesperidin production in the OsRHM2 cascade reaction system was approximately 2.58-fold that in the OsRHM1 system. Real-time PCR analysis showed that the relative expression levels of OsRHM1 and OsRHM2 were higher in roots than in bulbs and leaves. ConclusionOsRHM2 exhibited a relatively high capacity for UDP-Rha supply and may serve as a candidate enzyme resource for the subsequent biosynthesis of rhamnoside natural products and the construction of UDP-Rha supply systems.

ObjectiveTo improve the quality of artificial cultivation of the source plant of Fritillariae Cirrhosae Bulbus （FCB）， an XGBoost regression model was constructed based on the Group-Lasso method to screen the characteristic variables. The key factors affecting the quality formation of the source plant were then analyzed. MethodsFirstly， with the total alkaloid content （TAC） of FCB as the dependent variable， explanatory characteristic variables were screened from the influencing factors of TAC in the literature studying FCB quality from 2010 to 2024 based on the Group-Lasso regression algorithm. The screening results were verified by ten-fold cross-validation. Secondly， the present study established an XGBoost regression model to analyze the influencing factors of the quality formation of the source plant， and calculated the importance score of the explanatory characteristic variables. ResultsGroup-Lasso regression removed 2 numerical independent variables and retained the remaining 5 categorical variables and 6 numerical variables； cross-validation also showed that the number of screening variables is 11， with the corresponding optimal λ parameter value of 0.000 515 225 1. The results of XGBoost regression model confirmed the geographical origin as the most critical factor affecting the quality formation of source plants， followed by growth status and soil type， and then by mean temperature of the warmest month， original plant type， mean annual temperature， and altitude. Climate type， precipitation， frost-free period and relative humidity of the geographical origin exerted little effect. ConclusionThe prediction tools of Group-Lasso and XGBoost regression analysis models were preliminarily established for the quality formation of FCB. These models overcame the multicollinearity among numerical independent variables， and explored the geographical distribution of TAC and its key driving factors. The suitable cultivation areas can be selected or wild-tending bases established based on these key factors， thereby effectively avoiding blind introduction and cultivation. Finally， the present study provided a reference for the development and utilization of FCB， a theoretical basis for the market expansion and quality regulation， and a direction for the sustainable development and protection of new and efficient FCB resources.