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.

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.

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.

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.

AIM:To explore the therapeutic effects of Liuwei-Dihuang decoction(LD)on ovarian function in pre-mature ovarian failure(POF)mice,and to uncover the role of the Notch signaling pathway in its mechanism.METHODS:A mouse model of POF was constructed through intraperitoneal injection of cyclophosphamide/busulfan.Subsequently,the mice were randomly divided into six groups(n=12 per group):control,POF model,low-dose LD(LD-L),medium-dose LD(LD-M),high-dose LD(LD-H),and positive drug(0.7 mg/kg diethylstilbestrol)groups.The ovarian histopathologi-cal alterations were assessed by hematoxylin-eosin(HE)staining.Serum levels of follicle-stimulating hormone(FSH),anti-Müllerian hormone(AMH),and estradiol(E2)were quantified via ELISA assays.Immunohistochemistry(IHC)was conducted to compare the expression level of cell proliferation marker Ki-67 in mouse ovarian tissues among the groups.The expression of proteins involved in the Notch pathway components[Notch1,Notch2,Jagged1(JAG-1),and hairy and enhancer of split 1(Hes1)]was determined via IHC and Western blot,while the corresponding mRNA levels of Notch1,Notch2,JAG-1,JAG-2,Hes1,and Hes5 were quantified through the qPCR analysis.RESULTS:Ovarian weight was significantly higher,and the number of atretic follicles was significantly lower in the LD-H and positive drug groups com-pared to the model group(P<0.05).However,serum FSH levels were decreased(P<0.01),whereas those of E2 and AMH were elevated in both treatment groups compared with the model group(P<0.01).In the LD-H group,the expres-sion of key molecules of the Notch pathway components was increased at the protein and mRNA level compared with the model group(P<0.01).CONCLUSION:LD ameliorates ovarian dysfunction in POF mice via activating the Notch sig-naling pathway.

Objective To explore the influence of combination of recombinant human collagen dressing and promestriene ointment on symptoms and vaginal microecology in patients with atrophic vaginitis.Methods The data of patients with atrophic vaginitis admitted to the General Hospital of the People's Liberation Army were retrospectively collected from April 2017 to April 2024.According to treatment methods,the enrolled patients were divided into a study group(recombinant human collagen dressing combined with promestriene ointment for 7 days)and a control group(promestriene ointment for 7 days).The efficacy,symptom disappearance time,vaginal microecology and adverse reactions were compared between groups,and recurrence rate of atrophic vaginitis within 1 month was observed.Results A total of 150 patients were screened and included,77 in the study group and 73 in the control group.After treatment,the total therapeutic efficacy in the study group was higher than that in the control group(89.61％vs.76.71％,P＜0.05).The disappearance durations of abnormal leucorrhea,vulva pruritus and vulva burning pain in the study group were significantly shorter compared with those in the control group(all P＜0.05).The vaginal pH value in the study group was lower,while the positive rate of Lactobacillus and proportions of vaginal flora density grade Ⅱ-Ⅲ and diversity grade Ⅱ-Ⅲ were higher compared to the control group(all P＜0.05).During treatment,no significant difference was exhibited in the total incidence rate of adverse reactions between the two groups(P＞0.05).The recurrence rate was lower in the study group than that in the control group within 1 month of follow-up(P＜0.05).Conclusion Recombinant human collagen dressing combined with promestriene ointment is more effective than promestriene ointment alone in improving the efficacy of patients with atrophic vaginitis,and can better shorten the disappearance durations of symptoms such as abnormal leucorrhea,vulva pruritus and vulva burning pain,correct the disorder of vaginal microecology,and reduce the short-term recurrence rate of vaginitis,and offer good safety.

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 explore the role and mechanism of epimedokoreanin B(EKB)in HepaRG cell pyroptosis through endoplasmic reticulum stress and NLRP1-me-diated pyroptosis pathway.Methods The effect of EKB on the viability of HepaRG cells at different con-centrations was determined by MTT assay,and the cell growth status was recorded by Incucyte.Four groups of HepaRG cells were set up.The control group was cul-tured with complete medium for 24 h;the drug admin-istration group was cultured with three concentration gradients of 6.25,12.5 and 25 μmol·L-1 of EKB for 24 h.Western blot was used to detect the expression levels of endoplasmic reticulum stress-related proteins and pyroptosis-related proteins in the cells of each group.Results HepaRG cells showed cytotoxicity at a concentration of 6.25 μmol·L-1 for 24 h,and the half maximal inhibitory concentration(IC50)was 12.41 μmol·L-1.Incucyte recordings of the cell growth status showed that the cells in the control group were in good growth status,and the vesicular pyropto-sis cells appeared in the different concentrations of EKB and the cells swelled and ruptured after 24 h.Western blot showed that the protein expression levels of endoplasmic reticulum stress-related proteins pERK,eIF-2α,ATF-4,GRP78,and CHOP significantly in-creased in HepaRG cells at 25 μmol·L-1 of EKB compared with the control group.The proteins of the classical pathway of cellular pyroptosis mediated by NLRP1,caspase-1,cleaved caspase-1,GSDMD,GS-DMD-N significantly increased in HepaRG cells.Con-clusion EKB administration induces HepaRG cell py-roptosis,and EKB activates HepaRG cells to undergo endoplasmic reticulum stress and activates the NLRP1/caspase-1/GSDMD-mediated pyroptosis pathway.

Aim To investigate the effect of p-AMPK activity on autophagy in different subtypes of MDA-MB-231(triple-negative breast cancer cells)and MCF-7(estrogen receptor-positive cells)and its regulatory mechanism.Methods MDA-MB-231 cells were trea-ted with EBSS,Baf-A1,and EBSS+Baf-A1 for four hours,and MCF-7 cells for eight hours.The effects of autophagy on cell proliferation and apoptosis were ob-served,mitochondrial morphology was examined,and the expression of autophagy markers LC3B,P62,LAMP1,TOM20,AMPK,p-AMPK,ULK1,and Bec-lin1/VPS34 proteins was detected.The autophagy pathway was validated by inhibiting AMPK activity.Results Breast cancer cells underwent autophagy af-ter starvation induction(EBSS),with inconsistent au-tophagy processes observed in different subtypes of breast cancer cells.Autophagy inhibited cell prolifera-tion.In MDA-MB-231 cells,autophagy led to an in-crease in p-AMPK levels and a decrease in ULK1 lev-els,initiating autophagy through p-AMPK activation of ULK1.In MCF-7 cells,both p-AMPK and ULK1 levels decreased after autophagy,suggesting that autophagy might not be mediated by p-AMPK activation.Conclu-sions MDA-MB-231 cells primarily initiate autophagy by directly activating ULK1 by p-AMPK,independent of the MTOR pathway.In MCF-7 cells autophagy might be triggered by inhibiting MTOR through AMPK activity or directly activating MTOR through other up-stream factors.Regulating p-AMPK activity based on the autophagy pathways in different cell subtypes could enable more precise targeting and treatment of different types of breast cancer.