ObjectiveTo investigate the potential mechanisms of Zhimu （Anemarrhena asphodeloides）-Huangbai （Phellodendron amurense） medicinal pair in alleviating postmenopausal osteoporosis （PMOP）. MethodsSixty unpregnant female SD rats were randomly divided into five groups， blank group， model group， low-dose Zhimu-Huangbai group， high-dose Zhimu-Huangbai group， and estradiol group， with 12 rats in each group. Except for the blank group， all other groups had their ovaries removed to create PMOP rat models， while the blank group only had the fat tissue around the ovaries removed. One week after the ovarian removal， the low-dose and high-dose Zhimu-Huangbai groups received concentrated solution of Zhimu and Huangbai with 1.8， 7.2 g/（kg·d） via gavage， the estradiol group received estradiol solution 0.09 mg/（kg·d） via gavage， and the blank group and the model group received 10 ml/（kg·d） of normal saline via gavage， once daily for 12 weeks. Before sampling， the body mass of the rats was recorded， and uterine tissue was taken to calculate the uterine index. The levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in serum were detected by ELISA； micro CT was used to examine the parameters of femoral microstructure， including bone volume/tissue volume （BV/TV）， trabecular number （Tb.N）， trabecular thickness （Tb.Th）， bone mineral density （BMD）， trabecular separation （Tb.Sp）， and cortical bone area （Ct.Ar）. HE staining was used to observe pathological changes in the femur； RT-qPCR was used to detect the mRNA expression of osteogenic-adipogenic differentiation-related factors in femoral tissue， including Runt-related transcription factor 2 （Runx2）， bone morphogenetic protein 2 （BMP-2）， peroxisome proliferator-activated receptor γ （PPARγ）， chemerin and chemokine-like receptor 1 （CMKLR1）. ResultsCompared with the blank group， the model group showed a significant increase in body mass， a significant decrease in the uterine index， BV/TV， Tb.N， Tb.Th and BMD， a significant increase in Tb.Sp， and serum IL-1β， IL-6， and TNF-α levels， a significant reduction of mRNA expression of Runx2 and BMP-2 in bone tissue， and a significant increased mRNA expression of PPARγ， chemerin， and CMKLR1 （P＜0.01）. HE staining revealed that the femoral tissue showed a reduction and sparsity of trabeculae， a significant enlargement of the medullary cavity， and a large number of fat cells. Compared to the model group， the low-dose， high-dose Zhimu-Huangbai groups， and estradiol group showed significant improvements in all the above-mentioned indicators （P＜0.05 or P＜0.01）. HE staining revealed a significant increase in trabeculae， more organized arrangement， and a marked reduction in fat cells. Compared to low-dose Zhimu-Huangbai group， the high-dose Zhimu-Huangbai group exhibited a significant increase in the uterine index and BMD， and a significant reduction in body mass and PPARγ and Chemerin mRNA expression （P＜0.05 or P＜0.01）. Compared to high-dose Zhimu-Huangbai group， the estradiol group showed a decrease in uterine index， BV/TV， Tb.N， Tb.Th， BMD， and BMP-2 mRNA expression， while the levels of IL-1β， TNF-α， and IL-6， as well as Tb.Sp and the mRNA expressions of PPARγ， chemerin， and CMKLR1 increased （P＜0.05 or P＜0.01）. ConclusionThe Zhimu-Huangbai medicinal pair can alleviate PMOP bone loss， and its mechanism of action is related to reducing the levels of inflammatory factors， correcting the disorder of osteogenic-adipogenic differentiation of bone marrow mesenchymal stem cells （BMSCs）， and promoting the differentiation of BMSCs into osteoblasts.

The persistent high prevalence and poor survival outcomes of lung cancer underscore the urgent need for innovative therapeutic modalities. Here, we present a novel multifunctional delivery platform for the synergistic treatment of lung malignancies, combining in situ-triggerable photodynamic therapy (PDT) with radiotherapy. The new platform CLL was developed by loading a new reactive oxygen species (ROS)-triggerable photosensitizer, luminol-conjugated chlorin e6 (Ce6), into liposomes. CLL can be activated through the bioluminescence resonance energy transfer effect under oxidative stress, thereby producing singlet oxygen for targeted tumor treatment without external irradiation. In vitro studies showed significant cytotoxic effects of CLL in both 4T1 and A549 tumor cells. Furthermore, a PDT-radiopharmaceutical combination nanotherapy CLL-¹⁷⁷Lu was engineered by incorporating the radionuclide ¹⁷⁷Lu into CLL. CLL-¹⁷⁷Lu demonstrated synergistic antitumor effects in 4T1 and A549 tumor cells, as well as in mouse models of 4T1 breast cancer lung metastasis or A549 tumor xenografts. Mechanistically, CLL-¹⁷⁷Lu can induce singlet oxygen/ROS generation, enhance tumor cell apoptosis, and promote M1 macrophage-mediated immunotherapy. Preliminary assessments showed a favorable profile for CLL-¹⁷⁷Lu, highlighting its potential as a promising nanotherapy for cancer treatment. Additionally, CLL can serve as a versatile platform for delivering a range of therapies to achieve synergistic antitumor effects.

Objective:To assess the efficacy and safety profile of antaitasvir phosphate combined with yiqibuvir in the treatment of chronic hepatitis C (CHC) of various genotypes, without cirrhosis or with compensated cirrhosis.Methods:394 cases with CHC from 22 centers were collected from October 2021 to April 2023. They were randomly assigned to receive either the experimental drugs (antaitasvir phosphate 100 mg+yiqibuvir 600 mg) or placebo treatment in a 3∶1 ratio. The patients were administered drugs once a day for 12 consecutive weeks, and then followed up for 24 weeks after treatment cessation. All subjects were unblinded at the four-week follow-up following drug discontinuation, with the experimental drug group continuing to complete subsequent post-discontinuation follow-up. The placebo group was switched to receive the experimental drugs for a repeated 12-week treatment period and followed up for another 24 weeks after discontinuation of the drug (placebo delayed treatment phase).The sustained virologic response rate (SVR12) was observed for subjects in the double-blind phase and the placebo delayed-treatment phase at 12 weeks after treatment cessation.Virological resistance analysis was performed on subjects who failed treatment. The primary efficacy endpoint was SVR12. The number and percentage of subjects who achieved "HCV RNA

The main purpose of this paper is to discuss the experience of Professor Chen Baotian,a national renowned Chinese medical practitioner,in clinical application of Xiao Chaihu Decoction,Guizhi Decoction and their combined prescriptions.Xiao Chaihu Decoction not only has the actions of harmonizing pathogenic cold and heat in the exterior and interior,but also is effective on regulating the function of viscera and maintaining the balance ofqi-blood and yin-yang.Guizhi Decoction is not only good at harmonizing nutrient qi and defensive qi,and releasing muscles and expelling wind,but also has the efficacy of harmonizing spleen-stomach and nutrient-blood.The combined prescriptions derived from Xiao Chaihu Decoction include Er Xiao Decoction,San Xiao Decoction,Xiao Si Wu Decoction and Chai Ling Decoction;the combined prescription derived from Guizhi Decoction is Guizhi plus Longgu Muli Decoction;the combined prescription of Xiao Chaihu Decoction and Guizhi Decoction is Chaihu Guizhi Decoction,and Anshen Prescription is the derived prescription of Chaihu Guizhi Decoction.As a representative of the combined prescriptions of Zhang Zhongjing,Chaihu Guizhi Decoction integrates various harmonizing therapies,and it is a model of flexible application of classical formulas on the basis of syndrome differentiation.Chaihu Guizhi Decoction should be used by corresponding to the pathogenesis while not to the disease,and the medication of the herbs is flexibly modified according to the accompanied symptoms.In clinic,Chaihu Guizhi Decoction can be applied by modification in treating patients with discomforts in the region along the meridians of taiyang and shaoyang,or complicated with dysfunction of the liver and gallbladder,and the spleen and stomach,which exerts the pathogenesis of disharmony between yin and yang,dysfunction of qi transformation in triple energizer,and disharmony between nutritive qi and defensive qi.Based on years of the application of the classical prescriptions of traditional Chinese medicine in clinic,Professor Chen Baotian has formulated a number of combined prescriptions indicated for various diseases,and the combined prescriptions will supply more clinical choices for treatment with modern Chinese medicine.

Objective To investigate the effects of body weight and length of SD rats on the carotid artery balloon injury-induced vascular stenosis model in order to provide a reference for replicating an ideal vascular stenosis mod-el.Methods Male rats were divided into three groups based on body weight and length.The CONQUEROR? SC PTCA balloon catheter was employed,with a fixed balloon inflation volume of 0.2 mL to induce injury in the left common carotid artery,while the right side served as a control.As soon as surgery operation,one rat from each group was selected for Evans Blue dye verification.Fourteen days later,the injured and contra lateral common ca-rotid arteries from remaining rats were harvested for HE staining to check the extent of stenosis.Based on these find-ings,six rats within the optimal range of body weight and length were selected for further validation.Results Rats with body weights ranging from 280 to 380 g(corresponding body lengths of 21.0-26.5 cm)underwent balloon catheter injury,resulting in endothelial detachment and varying degrees of stenosis in the common carotid artery.In rats weighing 280-300 g(body lengths of 21.0-22.5 cm)had severe stenosis or occlusion of the common carotid artery with thrombosis.In rats weighing 320-340 g(body lengths of 23.0-24.5 cm),the internal and external elastic plates of the common carotid artery were ruptured and the vascular morphology was abnormal.Conversely,rats weighing 360-380 g(body lengths of 25.0-26.5 cm)did not show any ruptured elastic laminae or thrombus formation in the common carotid artery,and the extent of vascular stenos in rats with a body weight of 360 g was moderate and uniform.The results of the repeated validation experiments were consistent.Conclusions Rats with a body weight range of 360 g(corresponding body length of 25.0-26.5 cm)are suitable for development of an ideal vascular stenosis model.

Objective:To analyze the evaluation value of contrast-enhanced ultrasound (CEUS) combined with automatic volumetric ultrasound in the efficacy of neoadjuvant chemotherapy (NAC) for breast cancer.Methods:A retrospective study was conducted on 98 female patients with breast cancer admitted to Shaanxi Provincial Cancer Hospital from January to December 2022. All patients received 4 cycles of NAC, and underwent conventional ultrasound, automatic volumetric ultrasound, CEUS, and histopathological examination before and after treatment. Based on the post-treatment histopathological efficacy, patients were divided into the effective group ( n=67) and the ineffective group ( n=31). The CEUS and automatic volumetric ultrasound parameters before and after treatment, as well as the evaluation efficacy of these two types of parameters for NAC efficacy in breast cancer, were compared. The value of CEUS combined with automatic volumetric ultrasound in evaluating NAC efficacy for breast cancer was analyzed. Results:After NAC treatment, the CEUS parameters [time to peak (TTP) and arrival time (AT) of contrast agent] were longer than those before treatment, while the peak intensity (PI) was lower than that before treatment (all P<0.05); the automatic volumetric ultrasound parameters (tumor volume, area, thickness, length, and width) after NAC treatment were all smaller than those before treatment (all P<0.05). After treatment, the PI, volume, area, thickness, length, and width in the effective group were significantly smaller than those in the ineffective group, while the TTP and AT were significantly longer than those in the ineffective group (all P<0.05). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of CEUS parameters and automatic volumetric ultrasound parameters for predicting effective NAC efficacy in breast cancer was 0.837(0.749-0.904) and 0.864(0.780-0.925), respectively, with no statistically significant difference between the two ( P=0.674). The AUC of the combined parameters for predicting effective NAC efficacy was 0.942(0.875-0.979), which was significantly higher than that of CEUS parameters or automatic volumetric ultrasound parameters alone ( Z=2.947, 2.135, P=0.003, 0.033). Conclusions:The combination of CEUS and automatic volumetric ultrasound parameters has high value in the efficacy evaluation of NAC for breast cancer and can be used as a clinical reference.

AIM:To investigate the effect of dyes,Remazol BrOrange yellow(RBY)and erythrosine(ERY),on the outcomes of immunoblotting analysis when used for staining the concentrate gel in sodium dodecyl sulfate-polyacryl-amide gel electrophoresis(SDS-PAGE).METHODS:Polyacrylamide gels were divided into five groups:the control group(prepared according to the conventional kit protocol),the RBY-stained group with a final concentration of 0.08 g/L,the RBY-stained group with a final concentration of 0.16 g/L,the ERY-stained group with a final concentration of 0.08 g/L,and the ERY-stained group with a final concentration of 0.8 g/L.Gels were prepared and subjected to electro-phoresis,followed by coomassie brilliant blue staining to visualize protein bands.Subsequently,proteins were transferred to PVDF membranes,which were then blocked,incubated with primary and secondary antibodies,washed,and finally ex-posed for imaging to observe the target protein vinculin bands.RESULTS:Compared with the unstained concentrate gel,the loading wells of the RBY or ERY pre-stained concentrate gel were more clearly visible.Analysis of the gels stained with coomassie brilliant blue after electrophoresis and marker visualization showed no significant different in protein elec-trophoretic mobility between prestained and unstained gels.Comparative analysis of the immunoblotting also indicated that the detection of protein samples transferred to PVDF membranes was unaffected.CONCLUSION:Prestaining concen-trate gels with RBY or ERY can enhance the efficiency of gel-based electrophoresis and immunoblotting analysis.

Through the dismantlement,analysis,and sorting of the method of clearing collaterals and nourishing yin in the differentiation of syndromes in Wenbing Tiaobian written by WU Tang,a renowned physician of the Qing Dynasty.This article concluded that WU Tang's clinical application of clearing collaterals can be divided into clearing the qi collateral heat,clearing the blood collateral stasis,and clearing collateral stagnant heat.The yin-nourishing method specifically includes the sweet-cold fluid-restoring,sour-sweet yin-generating,sweet-bitter yin qi-nourishing,sweet-moistening fluid-preserving,heat-clearing fluid-protecting,and emergency purgative yin-preserving methods.Our team explored the application of this approach in tumor treatment based on the academic perspective of"strengthening healthy qi to treat cancer"and in combination with the"clearing collaterals and nourishing yin"method.It proposes that within the relationship between"strengthening healthy qi to treat cancer"and the"clearing collaterals and nourishing yin"method,"nourishing yin to strengthen healthy qi"often serves as the foundation of tumor treatment,whereas"clearing collaterals to eliminate pathogens"acts as an auxiliary measure.This paper summarizes our team's clinical experience and evidence in further treating cancerous diseases based on this theory,citing examples such as Qinghao Biejia Decoction,Xijiao Dihuang Decoction,Zhibai Dihuang Pill,our team's empirical formulas,and the specialized use of medications for cancerous diseases.The further application of this method in cancer diseases can be expanded to improve the clinical effect by summarizing the theory of"strengthening healthy qi to treat cancer"and improving the understanding of clearing collaterals and nourishing yin.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.