Based on previous research on the promoting effect of dendrobium officinale polysaccharides (DOP) on hair growth, this study aimed to regulate the skin keratin penetration and hair follicle targeting ability of DOP through molecular weight and nano-carriers to enhance its therapeutic effect on androgenetic alopecia (AGA). Three molecular weight polysaccharides, namely high (DOP), medium (MDOP), and low (LDOP), were prepared by mannanase hydrolysis, and the corresponding liposomes (DOP-lip/MDOP-lip/LDOP-lip) were constructed. Studies have shown that DOP liposomes can effectively achieve follicular targeted delivery and promote efficient uptake by human dermal papilla cells through caveolin-mediated pathways. In the testosterone-induced AGA mouse model, LDOP-lip demonstrated excellent therapeutic effects, restoring the number and morphology of hair follicles to nearly normal levels. In summary, DOP liposomes show significant potential for promoting hair follicle repair through precise delivery and efficient cellular uptake.

ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

With the advent of the refractive era of cataract surgery, postoperative residual refractive error has become a key factor affecting visual quality. The accuracy of intraocular lens(IOL)power calculation is affected by multiple factors, including ocular biological parameters, calculation formulas, and lens constants. Currently, the lens constants widely used in clinical practice are mostly based on Western populations, which have a mismatch with the ocular characteristics of the Chinese population, such as shorter axial length and steeper cornea. Therefore, the personalized optimization of the constant has become a research hotspot. This review primarily summarizes the research progress on lens constant optimization in improving the accuracy of IOL power calculation. Currently, there is no consensus on lens constant optimization methods. Single-constant formulas can be optimized through iterative methods, while multi-constant formulas require the combination of linear or nonlinear strategies. Simplified gradient descent and data-driven techniques offer new optimization pathways, but cross-validation is needed to evaluate their performance. Segmented optimization based on axial length, corneal curvature, and anterior chamber depth has shown significant effectiveness in patients with special anatomical structures, effectively reducing postoperative refractive errors in different patient groups, but limitations remain in some extreme cases. The interaction of multiple parameters significantly impacts the predictive accuracy of complex cases. While new-generation formulas integrating multiple parameters or incorporating AI algorithms have improved accuracy, constant optimization still holds value. Currently, the complex relationships between multiple parameters and intraoperative dynamic changes require further in-depth research. Future research, including targeted population optimization studies, the development of real-time monitoring technologies, and innovative IOL designs, may make achieving zero postoperative refractive error a possibility.

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

Objective:To explore the changes of serum histone deacetylase 2 (HDAC2), lonely G protein-coupled receptor ligand (Apelin) and B-type brain natriuretic peptide (BNP) in patients with chronic obstructive pulmonary disease (COPD) and the predictive value for prognosis.Methods:A retrospective selection was made of 100 COPD patients (COPD group) admitted to the Fourth People's Hospital of Langfang from May 2022 to May 2023 and 50 healthy individuals who underwent physical examinations during the same period (healthy control group) as the research subjects. The levels of serum HDAC2, Apelin and BNP in the two groups were compared. The levels of HDAC2, Apelin and BNP in COPD patients with different clinical characteristics were compared. The correlation among serum HDAC2, Apelin and BNP in COPD patients were analyzed by Spearman test. The predictive value of serum HDAC2, Apelin and BNP for the prognosis of patients with COPD was analyzed by the receiver operating characteristic (ROC) curve.Results:The level of HDAC2 in the COPD group was lower than that in the healthy control group, the levels of Apelin and BNP were higher than those in the healthy control group: (2.38 ± 0.56) U/L vs. (7.51 ± 1.33) U/L, (491.62 ± 53.82) ng/L vs. (337.19 ± 46.52) ng/L, (211.05 ± 23.46) ng/L vs. (37.52 ± 4.32) ng/L, there were statistical differences ( P<0.05). COPD patients with different clinical characteristics, including those in acute exacerbation and stable stages, mild, moderate and severe cases, COPD patients with pulmonary function grades Ⅱ, Ⅲ and Ⅳ, COPD patients with and without pulmonary hypertension, and patients with poor prognosis and good prognosis, there were statistically significant differences in the levels of HDAC2, Apelin and BNP ( P<0.05). The Spearman test results indicated that in COPD patients, serum HDAC2 was negatively correlated with Apelin ( r = - 0.469, P = 0.001), HDAC2 was negatively correlated with BNP ( r = - 0.435, P = 0.001), and Apelin was positively correlated with BNP ( r = 0.418, P = 0.001). The results of ROC curve analysis indicated that the combined detection of HDAC2, Apelin and BNP had the highest area under the curve for predicting the prognosis of COPD patients (0.954), with a sensitivity of 81.66%. Conclusions:COPD patients have lower HDAC2 and higher Apelin and BNP levels. The three indicators are correlated to a certain extent, and their levels are closely related to the clinical characteristics of patients. The combined detection of the three indicators can be used as important predictive indicators for the prognosis of COPD patients.

Objective:To analyze the predictive factors associated with late-onset sepsis(LOS) in very low birth weight infants,and to develop a risk prediction score scale applicable to these infants three days postnatal.This will provide valuable insights for early diagnosis and timely intervention.Methods:Very low birth weight infants admitted to the Children's Hospital of Fudan University from January 1,2022,to June 30,2024,were selected as research subjects.These infants were categorized into two groups:the LOS group and the non-LOS group,based on whether they developed LOS.LASSO regression analysis,alongside univariate and multivariate regression analyses,was employed to identify predictive factors for LOS in this population.A Logistic model was constructed using the optimal combination of predictive variables,and a risk assessment scale was subsequently developed.The prediction performance of the model was evaluated using the Hosmer-Lemeshow chi-square test and the receiver operating characteristic curve.Results:A total of 444 cases of very low birth weight infants were included,of which 185 had LOS and 259 did not.After screening the variables,seven independent factors were included into the model:birth weight,gestational age,tracheal intubation,abnormal skin color,abdominal distension,elevated C-reactive protein levels,and right hand perfusion index.A predictive scoring scale was developed based on the regression coefficients of each variable,with corresponding risk scores assigned as follows:1,4,3,2,1,1,and 2; a score of ≥3.5 indicated high-risk groups.The Hosmer-Lemeshow test results demonstrated that χ2 = 7.602( P = 0.473).The area under the receiver operating characteristic curve was 0.792 ( P<0.001),with a sensitivity of 73.5% and specificity of 71.0%. Conclusion:The risk score scale developed in this study exhibits significant predictive capability,providing valuable insights for clinical medical personnel to assess the risk of LOS in very low birth weight infants during the early postnatal period.

Machine learning,as a core branch of artificial intelligence,has gradually demonstrated significant potential in the field of dentition defect repair in recent years.By employing techniques such as data mining and pattern recognition,machine learning has been applied in various aspects including oral implant restoration,fixed bridge design,and fabrication of removable partial dentures.This paper seeks to provide a comprehensive review of machine learning applications within the aforementioned three aspects.It endeavors to assess the current developmental landscape and chart a course for future investigative endeavors,in hopes of offering a reference for re-search on machine learning in prosthodontics.

Objective To evaluate and further optimize the quality control measures in the field of queue by comparing and analyzing the quality of physical data before and after optimization.Methods 17 420 physical data collected in 2020 and 12 762 physical data collected in 2021 were used in the natural population cohort study of West China Hospital of Sichuan University.The data in 2020(before optimization)and 2021(after optimization)were evaluated and compared from multiple dimensions such as normalization,completeness,logic,accuracy and consistency.Results Compared to 2020,data quality in 2021 showed a significant improvement.The proportion of abnormal data decreased significantly from 1978(11.35%)to 276(2.16%),and the difference was statistically significant(P<0.05).Specifically,the number of abnormal blood pressure data decreased from 143(0.82%)to 67(0.52%),and waist circumference data decreased significantly from 1777(10.20%)to 113(0.89%).In terms of data integrity and logical evaluation,the performance in 2021 was also generally better than that in 2020,and the difference was also statistically significant(P<0.05).Conclusion It is very important to optimize and adjust the collection process of physical data and realize integrated information system management for improving data quality.

AIM:To appraise the bioequivalence and safety of the test preparation of ritonavir tab-lets and the reference preparation(trade name:Norvir?)in healthy adult subjects under fasting and postprandial conditions.METHODS:This study was a randomized,open-label,single-dose,four-period,fully repeated crossover design bioequivalence study protocol.Thirty-six healthy male and female volunteers were enrolled in the fasting and post-prandial conditions,and a single dose of the test preparation and reference preparation was orally administered.We used liquid chromatography-tan-dem mass spectrometry(LC-MS/MS)to finish the bioassay of the drug concentration of ritonavir in plasma.Pharmacokinetic parameters were statisti-cally analyzed using PhoenixWinNonlin8.1 software(Pharsight,USA)and a non-compartmental model.RESULTS:Under fasting conditions,the pharmacoki-netic parameters of the test and reference prepara-tions:Cmax(792.010±369.282)ng/mL and(856.939±394.427)ng/mL,AUC0-t(6 463.043±2 876.849)ng·mL-1·h and(6 907.690±3 046.132)ng·mL-1·h,AUC0-∞(6 603.617±2 916.352)ng·mL-1·h and(7 051.614±3 093.047)ng·mL-1·h.Here are the pharmacokinetic parameters for both the test prep-aration and the reference preparation in the post-prandial condition:Cmax(574.380±289.566)ng/mL and(615.796±297.382)ng/mL,AUC0-t(5 084.796±2 435.557)ng·mL-1·h and(5 414.167±2 416.952)ng·mL-1·h,AUC0-∞(5 219.144±2 487.793)ng·mL-1·h and(5 551.060±2 490.604)ng·mL-1·h.The 90%confidence interval of the geometric mean ratio of AUC0-t,AUC0-∞,and Cmax for the test preparation and reference preparation lied in the equivalent range of statistics.CONCLUSION:The tested preparation was bioequivalent to the reference preparation un-der fasting and postprandial conditions.

Aim To evaluate the continuous flow exposure sys-tem at the air-liquid interface(ALI)in vitro to provide reference data for in vitro studies on inhalation toxicology,and to conduct a preliminary evaluation of the inhalation toxicity of the com-pound limonene by using the system in conjunction with an ALI culture model of Calu-3 cells.Methods Fluorescein sodium(Na-flu)dosimetry supplemented with quartz microbalance(QCM)was used to evaluate the deposition volume and pore-to-pore homogeneity of the ALI continuous flow exposure system;limonene aerosol was exposed to an ALI-cultured model of Calu-3 cells for 3 h using the ALI continuous flow exposure system at exposure doses of high(0.213 μg·cm-2),medium(0.104μg·cm-2),low(0.064 5 μg·cm-2),clean air exposure was used as a negative control group,and the activity,lactate dehydrogenase(LDH)release,trans-epithelial electrical resist-ance(TEER),mucin MUC5AC and inflammatory factor gene expression of the exposed cells were detected after 24 h to evalu-ate the inhalation toxicity of limonene.Results The deposition of sodium fluorescein in the ALI continuous flow exposure system was 0.085±0.007 μg/30 min/well,and inter-well homogeneity was optimized from the initial 26％to less than 10％after sever-al debugging sessions;compared with the control group,there was no significant change in cellular activity and IL-8 gene ex-pression,but cellular IL-6 gene expression increased after limo-nene aerosol exposure;the mid-exposure dose of limonene pro-moted cellular release of LDH and inflammatory factor gene ex-pression.The medium exposure dose of limonene induced the cells to release LDH＞10％and decreased the expression of cel-lular tumor necrosis factor TNF-α gene;the high exposure dose of limonene decreased the cellular TEER value,impaired the cellular barrier function,and increased the expression of cellular mucin MUC5AC gene.Conclusions The ALI continuous flow exposure system can be used for inhalation toxicity in vitro stud-ies after commissioning;high and medium exposure doses of limonene are inhalation toxic.