ObjectiveTo investigate the mechanism of Zuogui Wan （ZGW） in improving ovarian inflammatory microenvironment and stemness of ovarian germline stem cells （OSCs） for treating ovarian aging via the cyclic guanosine monophosphate/adenosine monophosphate synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsForty C57BL/6 female mice were randomly divided into a blank group， a model group， a low-dose ZGW group （2.7 g·kg^-1）， a high-dose ZGW group （5.4 g·kg^-1）， and an estradiol valerate group （0.15 mg·kg^-1）， with 8 mice in each group. Except the blank group， all other groups received a single intraperitoneal injection of cyclophosphamide at 120 mg·kg^-1 to establish an ovarian aging mouse model. After successful modeling， each group was continuously administered for 4 weeks， once daily. The physiological status of the mice was observed， and the ovarian index was calculated. The estrus cycle of the mice was monitored. Hematoxylin-eosin （HE） staining was used to observe pathological changes in ovarian tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum sex hormone levels. Serum inflammatory factors interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and mouse interleukin-6 （IL-6） levels were detected using kits. Western blot was used to detect the protein expression of ovarian cGAS， STING， p-STING， TANK-binding kinase 1 （TBK1）， p-TBK1， interferon-induced transmembrane protein 3 （Fragilis）， and Vasa homolog protein （MVH）. Quantitative real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of inflammatory factors in ovarian tissue. Immunofluorescence double labeling was performed to locate OSCs in ovarian tissues， and fluorescence intensities of OSCs markers MVH and octamer binding transcription factor 4 （Oct4） were calculated. ResultsCompared with the blank group， the model group showed reduced body weight， ovarian wet weight， and ovarian index （P<0.01） and a disordered estrus cycle （P<0.01）. In addition， the levels of serum follicle-stimulating hormone （FSH）， TNF-α， IL-6， and IL-1β were increased （P<0.01）， while anti-Müllerian hormone （AMH） and estradiol （E₂） levels were decreased （P<0.01）. The protein expression of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue was increased （P<0.05， P<0.01）， while that of OSCs stemness factors MVH and Fragilis was reduced （P<0.01）. Immunofluorescence indicated a reduction in MVH and Oct4 expression in OSCs （P<0.01）. The mRNA expression of inflammatory factors TNF-α， IL-6， and IL-1β in ovarian tissue was increased （P<0.05， P<0.01）. Compared with the model group， the treatment groups exhibited improved body weight， ovarian wet weight， and ovarian index （P<0.05） and a reduced rate of estrus cycle disorder （P<0.05， P<0.01）. The levels of serum FSH， TNF-α， IL-6， and IL-1β were decreased （P<0.05， P<0.01）， while AMH and E₂ levels were increased （P<0.01）. The protein expression levels of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue were decreased （P<0.05）， while the protein expression of MVH and Fragilis was increased （P<0.05）， and the fluorescence intensities of MVH and Oct4 were increased （P<0.05， P<0.01）. The mRNA expression of inflammatory factors in ovarian tissue was decreased （P<0.05）. ConclusionZGW alleviate ovarian inflammatory response， regulate ovarian microenvironment homeostasis， and maintain stemness of OSCs in ovarian aging mice probably by modulating the cGAS-STING signaling pathway， thereby improving ovarian function and delaying ovarian aging.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective To investigate the mechanism of kaempferol(KPF)in the treatment of macular edema sec-ondary to retinal vein occlusion(RVO-ME).Methods RVO model was established in SD rats using photocoagulation.Twenty SD rats were randomly divided into:Control group(normal rats,saline injection),Model group(RVO model rats,saline injection),Low KPF group[RVO model rats,KPF injection(8 mg·kg-1·d-1)],High KPF group[RVO model rats,KPF injection(16 mg·kg-1·d-1)],with 5 rats per group for 14 days.Fundus photography observed retinal vessels;HE staining evaluated retinal structural changes.HRMECs were randomly divided into:control group(no intervention),CoCl2 group(300 μmol·L-1 CoCl2),Low-dose KPF group(300 μmol·L-1 CoCl2+20 μmol·L-1 KPF),High-dose KPF group(300 μmol·L-1 CoCl2+30 μmol·L-1 KPF)and pathway inhibitor group(DAPT group)(300 μmol·L-1 CoCl2+20 μmol·L-1 DAPT),with 24-hour intervention.CCK-8 assay detected cell viability;Scratch test measured cell migration rate;ELISA quantified inflammatory factors[interleukin(IL)-6,tumor necrosis factor(TNF)-α];FITC-dextran assay evalu-ated endothelial monolayer permeability;Immunofluorescence detected zonula occludens(ZO)-1 expression;Western blot and RT-PCR measured protein and mRNA levels of ZO-1,Occludin,Notch1,and Hes1.Results Fundus photography showed interrupted venous blood flow and retinal edema in Model group,alleviated by KPF.HE staining revealed disorder-ed retinal arrangement and severe edema in the Model group,improved by KPF.Compared with CoCl2 group,Low-and High-dose KPF groups showed reduced cell migration rate,increased cell vitality(both P＜0.05),IL-6 and TNF-α levels de-creased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),permeability coefficient decreased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),ZO-1 expression increased in Low-and High-dose KPF groups and DAPT group(all P＜0.05),ZO-1 and Occludin protein/mRNA levels increased;Notch1 and Hes1 protein/mRNA levels de-creased in Low-and High-dose KPF groups and DAPT group(all P＜0.05).Conclusion KPF treat RVO-ME by inhibiting the Notch1/Hes1 pathway,exerting anti-inflammatory effects and improving intercellular tight junctions.

Objective:To construct a set of evaluation indicator system of self-health management ability for elderly with multiple chronic conditions.Methods:Indicators were initially screened through literature retrieval to form the framework of evaluation system.The Delphi method was used to conduct two rounds of consultation with 15 experts in relevant fields, and the indicators were optimized by integrating the importance and accessibility scores of indicators as well as expert opinions.SPSS 26.0 software was used to statistically analyze the results of expert consultation, and the effectiveness of the consultation was evaluated by expert positive coefficient, authority coefficient and coordination coefficient.Yaahp 12.0 software was used to construct the hierarchical structure model, and conduct pairwise comparisons of indicators at the same level to form a judgment matrix according to the Saaty 1-9 scaling method. After consistency test, the product method was applied to aggregate and determine the weights of indicators at all levels.Results:The positive coefficients of the two rounds of expert consultation were both 100%, and the expert authority coefficients were 0.825 and 0.856.In the two rounds of assessment, the ICC of importance and accessibility scores of level 2 and level 3 indicators were higher than 0.90 ( P<0.05). Following screening and revision through two rounds of expert consultation, an evaluation indicators system of self-health management ability of elderly with multiple chronic conditions was formed, including 5 first-level indicators, 18 second-level indicators and 40 third-level indicators.The weights of 5 first-level indicators determined by the hierarchical analysis method were as follows: disease management(0.203), lifestyle (0.205), psychological adjustment (0.203), social support(0.200), and self-ability evaluation(0.189). Conclusion:The evaluation indicator system of self-health management ability of elderly with multiple chronic conditions has high reliability and scientificity, and its practical utility will be further examined.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective Compare the depression phenotypes of a breast cancer tumor-bearing mouse model constructed using two different method and a mouse model of breast cancer depression with clinical manifestations,as well as assess their suitability for basic research.Methods We constructed a tumor model with 4T1 breast cancer cells alone(4T1 group)and a tumor-depression composite model given chronic unpredictable mild(CUMS)(4T1+CUMS group).The experimental period was 42 d,and the body mass,tumor volume,and survival time of the mice were monitored throughout the whole process.Two depressive behavioral tests(of sucrose preference test,open field test,tail suspension test,and elevated plus maze)were performed on the 15th and 29th days,respectively.Hematoxylin-eosin(HE)staining was used to observe the pathological changes of hippocampal neurons in brain tissue sections.Results(1)Body mass:The body mass of the 4T1 group and 4T1+CUMS group began to decrease from 29 d,and the body mass of the 4T1+CUMS group was significantly lower than that of the 4T1 group and Control group at the end of the experiment(P<0.001).(2)Tumor volume:There was no significant difference in the growth rate of tumors between the two model groups throughout the experiment(P>0.05).(3)Survival time:The survival rates of the 4T1 group and 4T1+CUMS group were 100％and 60％,and the first death of mice in the 4T1+CUMS group was on the 36th day.(4)Behavior test of depression:There was no significant difference between the three groups in the first depressive behavior tests(P>0.05),and the two groups showed obvious depressive phenotypes in the second behavioral tests.The sucrose preference index and activity distance in the central area were significantly decreased in the two model groups(P<0.001),and the immobility time was significantly increased(P<0.001).(5)Pathological section of brain tissue:On pathological examination of brain tissue,we observed a reduced number of neuronal cells in the hippocampus of the 4T1 group and 4T1+CUMS group,their morphology was irregular,the arrangement between the cells was disordered and the gap was unclear,and some nucleoli were blurred.Conclusions Although the tumor-only method and the tumor with compound stress stimulation method can both be used to prepare breast cancer depression models,the tumor-only modeling method is simpler and the mortality rate after successful modeling is higher.The long window of time is convenient for subsequent drug administration and detection,and the causes of the depression phenotype are more in line with the clinical causes and manifestations.Therefore,the 4T1 model can provide a reference model for future animal experiments on breast cancer tumor-related depression.

Objective To develop and validate an efficient and simple liquid chromatography with tandem mass spectrometry(LC-MS/MS)method for determination of polymyxin E in human plasma,and apply the established method in therapeutic drug monitoring(TDM)of polymyxin E.Methods The LC-MS/MS platform was based on AB SCIEX HPLC-4500MD system.Gradient elution was performed with 0.2％formic acid in water and 0.2％formic acid in acetonitrile.Phenomenex Kinetex XB-C18 column(100 mm × 2.1 mm,2.6 μm)were used.The analytes were detected by electrospray ionization(ESI)positive multiple reaction monitoring mode.The ion pairs for analytes(polymyxins E1,E2)and internal standard(polymyxins B1)were m/z 390.7→101.3,m/z 386.0→101.2,and m/z 402.3→101.2,respectively.Plasma samples were processed with protein precipitation method.Results Polymyxin E1 and E2 showed good linearity in the range of 0.031 2-6.24 mg/L and 0.006 15-1.23 mg/L,respectively.The within-run accuracy of polymyxin E1 and E2 in plasma ranged from 89.4％to 99.8％and 91.5％to 108.2％,respectively,while the between-run accuracy ranged from 91.8％to 104.7％and 95.6％to 105.2％,respectively.The within-run precision of polymyxin E1 and E2 in plasma ranged from 4.9％to 8.9％and 2.8％to 8.5％,respectively,while the between-run precision ranged from 4.1％to 7.6％and 4.2％to 9.8％,respectively.The average internal standard normalized matrix effect factors of polymyxins E1 and E2 were 96.9％-111.2％and 106.1％-112.8％in blank plasma samples from 6 different sources,102.5％-106.8％and 98.8％-105.2％in lipemic plasma,respectively,107.8％-108.9％and 106.9％-1 07.4％in hemolyzed plasma,respectively.The precision of matrix effects was less than 15.0％.The average recovery rate was 102.9％-107.5％for polymyxin E1 and E2,and 107.0％for internal standard polymyxin B1.The precision was less than 3.7％.Conclusions In this study,a simple and efficient LC-MS/MS method was established for determination of polymyxin E1 and E2 in human plasma,which is reliable in the therapeutic drug monitoring and pharmacokinetic study of polymyxin E.

Objective To investigate the therapeutic effect and potential mechanisms of allogeneic renal subcapsular transplantation of CD24+renal epithelial cells for the treatment of acute kidney injury(AKI)induced by ischemia-reperfusion(I/R).Methods CD24+renal epithelial cells were isolated from mouse kidneys using flow cytometric sorting and expanded by passaging.C57BL/6N mice were randomly divided into three groups:the normal control group(n=8,sham surgery only),the model control group(n=8,unilateral kidney I/R plus contralateral nephrectomy),and the CD24+cell treatment group(n=8,AKI model followed by renal subcapsular transplantation of CD24+cells).Mice were euthanized at 24 h after modeling and serum was collected to measure biochemical markers[serum creatinine(Scr),blood urea nitrogen(BUN),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)].Renal tissues were subjected to pathological evaluation and macrophage staining.An M1-polarized macrophage model was established using mouse bone marrow-derived macrophages co-cultured with CD24+renal epithelial cells.The polarization state of macrophages was assessed by quantitative real-time polymerase chain reaction(qPCR)and flow cytometry.Results CD24+renal epithelial cells were successfully isolated and passaged stably.Compared with the normal control group,the model control group exhibited significantly elevated Scr and BUN levels and renal pathological damage.In contrast,the CD24+cell treatment group showed significant reduction in serum biochemical markers and pathological injury compared with the model control group,along with reduction in M1 macrophage infiltration in the kidneys(P<0.05,P<0.01).In vitro co-culture experiments demonstrated that in the CD24+co-culture group,the expression of M1 polarization-related markers in macrophages was significantly lower than that in the non-co-culture group,and the proportion of CD80+M1 macrophages in the co-culture group decreased(P<0.05,P<0.01).Conclusion Allogeneic renal subcapsular transplantation of CD24+renal epithelial cells can alleviate I/R-induced AKI by inhibiting M1 macrophage polarization through paracrine mechanisms.

Objective:To establish a rapid quantitative model of sodium chloride content in Halitum of traditional Chinese medicine by using X-ray diffraction technology and machine learning algorithm.Methods:The data of X-ray diffraction patterns of 90 batches of Halitum samples were collected,and the rapid prediction models of X-ray diffraction were constructed by using partial least squares(PLS),support vector regression(SVR)long short-term memory(LSTM)according to the reference values determined by the content determination method of Halitum in the Chinese Pharmacopoeia 2020 edition.Results:The data preprocessed by multivariate scatter correction(MSC)and selected by competitive adaptive reweighted sampling(CARS)were better in PLS model and LSTM model.The data pretreated by standard normal transformation(SNV)and selected by CARS feature variable perform well in SVR.Conclusion:The three models show good prediction potential,which shows that the combination of X-ray diffraction technology and machine learning algorithm is feasible for accurate prediction of the content of Halitum in traditional Chinese medicine.

Objective:To construct a set of evaluation indicator system of self-health management ability for elderly with multiple chronic conditions.Methods:Indicators were initially screened through literature retrieval to form the framework of evaluation system.The Delphi method was used to conduct two rounds of consultation with 15 experts in relevant fields, and the indicators were optimized by integrating the importance and accessibility scores of indicators as well as expert opinions.SPSS 26.0 software was used to statistically analyze the results of expert consultation, and the effectiveness of the consultation was evaluated by expert positive coefficient, authority coefficient and coordination coefficient.Yaahp 12.0 software was used to construct the hierarchical structure model, and conduct pairwise comparisons of indicators at the same level to form a judgment matrix according to the Saaty 1-9 scaling method. After consistency test, the product method was applied to aggregate and determine the weights of indicators at all levels.Results:The positive coefficients of the two rounds of expert consultation were both 100%, and the expert authority coefficients were 0.825 and 0.856.In the two rounds of assessment, the ICC of importance and accessibility scores of level 2 and level 3 indicators were higher than 0.90 ( P<0.05). Following screening and revision through two rounds of expert consultation, an evaluation indicators system of self-health management ability of elderly with multiple chronic conditions was formed, including 5 first-level indicators, 18 second-level indicators and 40 third-level indicators.The weights of 5 first-level indicators determined by the hierarchical analysis method were as follows: disease management(0.203), lifestyle (0.205), psychological adjustment (0.203), social support(0.200), and self-ability evaluation(0.189). Conclusion:The evaluation indicator system of self-health management ability of elderly with multiple chronic conditions has high reliability and scientificity, and its practical utility will be further examined.