Epidermal growth factor receptor-tyrosine kinase inhibitor （EGFR-TKI） represent a class of small-molecule targeted therapeutics for oncology treatment， and serve as first-line therapy for advanced non-small cell lung cancer （NSCLC） with EGFR- sensitive mutations， with representative agents including gefitinib， dacomitinib， and osimertinib. In clinical practice， dose adjustment of EGFR-TKI may be required for cancer patients under special circumstances such as drug combinations or hepatic/ renal impairment. Physiologically-based pharmacokinetic （PBPK） model， capable of predicting pharmacokinetic （PK） processes in humans， has emerged as a vital tool for clinical dose optimization. This article sorts the modeling methodologies， workflows， and commonly used software tools for PBPK model， and summarizes the current applications of PBPK model in EGFR-TKI precision therapy as of June 30， 2024. Findings demonstrate that PBPK modeling methods commonly employ the “bottom-up” approach and the middle-out approach. The process typically involves four steps： parameter collection， compartment selection， model validation， and model application. Commonly used software for modeling includes Simcyp， GastroPlus， and open-source software such as PK- Sim. PBPK model can be utilized for predicting drug-drug interactions of EGFR-TKI co-administered with metabolic enzyme inducers or inhibitors， acid-suppressive drugs， or traditional Chinese and Western medicines. It can also adjust dosages in conjunction with genomics， predict PK processes in special populations （such as patients with liver or kidney dysfunction， pediatric patients）， evaluate the efficacy and safety of drugs， and extrapolate PK predictions from animal models to humans.

Aim To investigate the regulatory role and mechanism of resveratrol in inhibiting autophagy and promoting apoptosis in choroidal melanoma cells. Methods Choroidal melanoma cells (MUM2B) were divided into control and experimental groups, and treated with different concentrations of resveratrol (0, 10, 20,40,60,80 μmol ·L

Objective To investigate the therapeutic effect and mechanism of Jianwei Xiaozhang Tablets on rats with precancerous lesions of gastric cancer(PLGC).Methods Forty male SD rats were randomly divided into the normal group,the model group,the folic acid group and the Jianwei Xiaozhang Tablets group,with 10 rats in each group.In addition to the normal group,the other three groups of rats were prepared by gavage with Ranitidine Aqueous Solution combined with N-methyl-N'-nitro-N-nitrosoguanidine(MNNG)solution drinking method for the preparation of PLGC model.After successful modeling,drugs were administered accordingly for 7 weeks.The changes in body mass of rats during modeling and drug administration were recorded,the gross view of the stomach was observed and scored pathologically,the coefficients of spleen and liver were determined,the pathological changes in gastric tissue were observed by hematoxylin-eosin(HE)staining,enzyme-linked immunosorbent assay(ELISA)was used to measure serum gastrin(GAS),motilin(MTL)and glucagon(GC),Alisin Blue-Periodic Acid Schiff's(AB-PAS)staining was used to observe the thickness of the mucosal layer of gastric tissues,the expressions of phosphatidylinositol 3-kinase(PI3K),phosphorylated PI3K(p-PI3K),protein kinase B(Akt),phosphorylated Akt(p-Akt),and endothelial-type nitric oxide synthase(eNOS)proteins in gastric tissues were detected by protein immunoblotting(Western Blot),and the expression of vascular endothelial growth factor A(VEGFA)protein in gastric tissues was detected by immunofluorescence staining.Results Compared with the normal group,the body mass of rats in the model group grew slowly during the experimental period,gastric macroscopic pathological scores were significantly increased(P＜0.01),splenic coefficient and hepatic coefficient were significantly decreased(P＜0.01),the gastric tissues showed cuprocyte hyperplasia and intestinal chemotaxis,gastric tissues'inflammation scores were significantly increased(P＜0.01),the serum GAS content was significantly increased(P＜0.01),and the MTL,GC contents were significantly reduced(P＜0.05),and the thickness of the mucous membrane layer of gastric tissue was significantly reduced(P＜0.05),the protein expression levels of PI3K,p-PI3K,Akt,p-Akt and eNOS were reduced(P＜0.01),and the protein expression level of VEGFA was reduced(P＜0.01);compared with the model group,the above indexes of the Jianwei Xiaozhang Tablets group and the folic acid group were all significantly improved(P＜0.05 or P＜0.01),among which,the Jianwei Xiaozhang Tablets group had a better improvement effect in the proliferation of cup cells and intestinal chemotaxis in gastric tissues,the content of serum GAS,and the thickness of the mucous layer in gastric tissues.Conclusion The mechanism of the improvement of PLGC in rats by Jianwei Xiaozhang Tablets may be related to the activation of the PI3K-Akt-eNOS pathway,which in turn promotes the angiogenesis and repair of gastric damaged tissues.

Objective To observe the regulatory mechanism of drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method on the expression of growth and differentiation factor 9(GDF9)and apoptosis of ovarian granulosa cells in rats with controlled ovarian hyperstimulation(COH).Methods Serum of COH rats(blank serum)and serum of COH rats gavaged by the Jinghou Zengzhi Prescription were prepared.A COH rat model was established and ovarian granulosa cells were collected.The experiment was divided into 5 groups:blank serum group,drug-containing serum group,drug-containing serum+SB203580[p38 mitogen-activated protein kinase(p38MAPK)inhibitor]group,drug-containing serum + PDTC[nuclear transcription factor κB(NF-κB)inhibitor]group,drug-containing serum + SB203580 + PDTC group.The mRNA expression levels of p38MAPK,casein kinase 2(CK2),nuclear transcription factor κB inhibitor α(IκBα),NF-κB and GDF9 were detected by real-time quantitative polymerase chain reaction(qRT-PCR),and GDF9 protein expression level was detected by Western Blot,and ovarian granulosa cell apoptosis was detected by terminal-deoxynucleoitidyl transferase mediated nick end labeling(TUNEL).Results The drug-containing serum of Jinghou Zengzhi Prescription decreased the mRNA expressions of p38MAPK and NF-κB,elevated the mRNA expressions of CK2 and IκBα,increased the mRNA and protein expression levels of GDF9,and decreased the apoptosis rate of ovarian granulosa cells in COH rats.The addition of p38MAPK inhibitor SB203580 alone and the addition of NF-κB inhibitor PDTC alone both promoted the mRNA and protein expressions of GDF9 and reduced the apoptosis rate of granulosa cells.Conclusion The drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method can promote the expression of GDF9 and inhibit the apoptosis of ovarian granulosa cells in rats with COH,and its mechanism may be related to the regulation of the expression of genes of the dual signaling pathways of p38MAPK and NF-κB.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

With the transition of the medical model from the traditional biomedical model to the biopsychosocial one, there is a growing trend and requirement for oral operations that prioritize comfort, pain management, minimally invasive techniques, and visualization. Consequently, demands for comfortable dental treatments among individuals are increasing. However, initial periodontal therapy is often accompanied by pain, and patients′ reactions to pain range from nervousness to dental fear, such as irritability, hyperventilation, even nausea, vomiting, and refusal to cooperate, which make the implementation of initial periodontal therapy difficult or even impossible. This article will focus on three key steps: firstly, the preparation of the clinic, the acquisition of patients′ trust and the implementation of preventive sedation before treatment; secondly, the use of comfort operation and nursing, psychological intervention measures, local anesthesia, and sedation techniques during treatment; thirdly, the health education and follow-up after treatment. By addressing these aspects, we aim to clarify how to perform comfortable initial periodontal therapy step by step.

Objective:To analyze the individual and cumulative effects of unhealthy lifestyle on the prevalence of hypertension, diabetes and dyslipidemia in old adults in China, and find out the critical lifestyle in the network.Methods:Based on the baseline data of Yunnan Behavior and Disease Surveillance Cohort in 2021, a total of 16 763 older adults aged ≥60 years were included in our study. The unhealthy lifestyle factors including smoking, drinking, unhealthy eating habit, lower physical activity level, abnormal BMI and abnormal waist circumference. We calculated the unhealthy lifestyle score by using the cumulative exposures of each participant. Multiple logistic regression and mixed graphical models were used to describe the association between unhealthy lifestyle and the prevalence of hypertension, diabetes and dyslipidemia.Results:The prevalence of hypertension, diabetes and dyslipidemia were 57.0%, 11.5% and 37.0%, respectively. Most of the unhealthy lifestyles included in the study were risk factors for hypertension, diabetes and dyslipidemia, and the risks of disease increased with the increase of the unhealthy lifestyle score. The participants with the highest score (score: 6) had significantly higher prevalence of hypertension ( OR=3.99, 95% CI: 1.81-8.80), diabetes ( OR=4.64, 95% CI: 1.64-13.15) and dyslipidemia ( OR=4.26, 95% CI: 2.08-8.73) compared with those with lowest score (score: 0). In the network constructed by mixed graphical model, abnormal waist circumference (bridge strength=0.81) and hypertension (bridge strength=0.55) were vital bridge nodes connecting unhealthy lifestyle and hypertension, diabetes and dyslipidemia. Conclusions:The unhealthy lifestyle score was associated with risks for hypertension, diabetes and dyslipidemia. Abnormal waist circumference was the key factor for chronic diseases in old adults.

ObjectiveTo investigate the effect of total alkaloids of Corydalis saxicola on a rat model of lipopolysaccharide（LPS）-induced depression， as well as the pharmacokinetic characteristics of 8 of its major components. MethodTwenty-four male SD rats were randomly divided into normal group， model group， fluoxetine group（10 mg·kg^-1） and total alkaloids of C. saxicola group（210 mg·kg^-1）， with 6 rats in each group. In addition to the normal group， the rats were injected intraperitoneally with LPS to establish the inflammation model of depression， and the drug administration was started 1 week after modeling， and the administration groups were gavaged according to the corresponding dose， and the normal and model groups were intragastric administration with equal volume of distilled water， and the administration was performed along with the modeling. After two weeks of continuous administration， the effect of total alkaloids of C. saxicola on the behavior of depressed rats were tested by sucrose preference， forced swimming and open field experiments， the levels of tumor necrosis factor-α（TNF-α）， interleukin（IL）-1β and IL-6 in serum of rats were determined by enzyme-linked immunosorbent assay（ELISA）， the histopathological changes of rat hippocampus were observed by hematoxylin-eosin（HE） staining. After the last administration， blood was collected from orbit according to the set time， and ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS） was established to simultaneously detect the concentrations of dehydrocavidine， tetrahydropalmatine， coptisine， palmatine， jatrorrhizine， berberine， berberrubine and epiberberine in plasma， and drug-time curves were drawn. The pharmacokinetic parameters were analyzed by DAS 2.0 software. ResultCompared with the normal group， the model group exhibited a decrease in sucrose preference rate， total distance traveled in the open field， as well as an increase in swimming immobility time and serum inflammatory factor expression（P<0.01）. In contrast， compared with the model group， rats in each administration group showed an increase in sucrose preference rate and total distance traveled in the open field， a decrease in swimming immobility time， and a reduction in serum inflammatory factor expression（P<0.05， P<0.01）. Additionally， HE staining results revealed that neurons in the hippocampus of rats from the model group were characterized by loss， disorganization and residual vacuoles， whereas those from the total alkaloids of C.saxicola group displayed an increase in number with orderly arrangement and clear cytoplasm. Pharmacokinetic results showed that the time to peak（t_max） and half-life（t_1/2） of the 8 active ingredients were 0.19-2.06 h and 3.71-8.70 h after continuous administration of total alkaloids of C. saxicola. Among them， the area under the curve（AUC_0-∞） of tetrahydropalmatine was the highest and the t_1/2 was the shortest， and the AUC_0-∞ of coptisine， palmatine， jatrorrhizine， berberine， berberrubine and epiberberine were low. The curves of dehydrocavidine， coptisine， palmatine， berberine and epiberberine showed obvious double peak phenomenon. ConclusionTotal alkaloids of C. saxicola can improve the depression-like behavior of rats， inhibit the expression of inflammatory factors in serum， improve the pathological injury of hippocampus， and has the antidepressant effect. Meanwhile， the effective site is absorbed quickly and eliminated slowly in the depressed model rats， and the efficacy is maintained for a long time.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.