It is proposed that yangming （阳明） turbid heat and dysfunction of the chong and ren （冲任） vessels are the key pathogenesis underlying abnormal uterine bleeding caused by polycystic ovary syndrome （PCOS）. The general principle of treatment is to clear and drain the yangming channel and resolve turbid heat. During the acute bleeding phase， the approach is to clear heat， cool the blood， consolidate the chong vessel， and stop bleeding. During the chronic phase， the focus shifts to resolving phlegm and removing stasis， unblocking and purging qi movement. And during the late stage， the method of boosting qi and nourishing yin， consolidating the root and regulating menstruation is suggested. In clinical practice， the self-formulated Yishen Quzhuo Formula （益肾祛浊方） serves as the foundation， with flexible modifications and adjustments made according to disease stage and individual clinical presentation.

Objective To analyze the effect of Hsa-circ-0101216 on gemcitabine(GEM)chemotherapy resistance in pancreatic cancer and its mechanism.Methods Differentially expressed circRNAs between GEM-resistant pancreatic cancer cells and parent cells were screened using the GEO database.Pancreatic cancer GEM resistant cell lines(BxPC-3-GEM and Capan-1-GEM)were constructed by intermittent concentration gradient method.qRT-PCR was used to detect the expression of Hsa-circ-0101216 in cells.GEM resistant pancreatic cancer cell lines were taken and divided into sh-circ-0101216 group(knockdown of circ-0101216),sh-NC group(transfected with sh-NC),and blank control group(untreated).CCK-8 assay and EdU proliferation assay were used to detect the half inhibitory concentration(IC50)of GEM and proliferation ability of cells in each group.Western blotting was performed to detect the expression of multidrug resistance-related protein 1(MRP1),breast cancer resistance protein(BCRP),and human equilibrative nucleoside transporter-1(hENT-1).A subcutaneous xenograft tumor model of human pancreatic cancer in nude mice was constructed,and sh-NC+GEM group and sh-circ-0101216+GEM group(n=6)were set up.The volume and weight of xenograft tumor in nude mice were compared between the two groups.Western blotting and immunohistochemistry were used to detect the expression of MRP1,BCRP,and hENT-1 proteins in xenograft tumor tissues,and EDU proliferation assay was used to detect the proliferation ability of tumor cells.Results The GEO database screening showed that Hsa-circ-0101216 was up-regulated in GEM-resistant pancreatic cancer cell lines.Pancreatic cancer GEM-resistant cell lines were successfully constructed,and the expression levels of Hsa-circ-0101216 and the IC50 value in GEM-resistant pancreatic cancer cells BxPC-3-GEM and Capan-1-GEM were significantly higher than those in parental cells(P<0.05).In sh-circ-0101216 group,the IC50 values of GEM,cell viability,EdU positivity rate,and the expression levels of MRP1 and BCRP proteins in GEM-resistant pancreatic cancer cells BxPC-3-GEM and Capan-1-GEM were significantly lower than those in blank control group and sh-NC group,while the expression level of hENT-1 protein was significantly higher(P<0.05 or P<0.001).In sh-circ-0101216+GEM group,the weight and volume of subcutaneous xenograft tumors in nude mice,the expression levels and positive expression rates of MRP1 and BCRP proteins in tumor tissues,and the EdU positive rate were significantly lower than those in sh-NC+GEM group,while the expression level and positive expression rate of hENT-1 protein were significantly higher(P<0.05).Conclusions Hsa-circ-0101216 is highly expressed in GEM-resistant pancreatic cancer cell lines.Its knockdown can inhibit the proliferation of pancreatic cancer cells and enhance the chemosensitivity of pancreatic cancer cells to GEM.The mechanism may be related to the regulation of transmembrane transporter protein expression.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To investigate the factors influencing global longitudinal strain(GLS)measured by cardiac magnetic resonance(CMR)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods Clinical data of 315 hospitalized patients diagnosed with acute STEMI who underwent percutaneous coronary intervention(PCI)at the First Medical Center of Chinese PLA General Hospital from June 2016 to September 2021 were retrospectively collected.After analyzing CMR images of all patients,GLS and other strain parameters were obtained,and then the patients were divided into two groups according to the median GLS.In order to balance gender and age differences,1:1 propensity score matching was performed,and 206 patients were eventually included:GLS>-11.3%group(indicating severe GLS impairment,n=103)and GLS≤-11.3%group(n=103).Baseline characteristics,laboratory indicators,coronary angiographic parameters,electrocardiogram(ECG)features,and CMR parameters were compared between the two groups.Variables showing significant differences were analyzed for their correlation with GLS.Multivariate logistic regression and multiple stepwise linear regression analyses were performed to identify factors associated with GLS impairment.Results Compared with GLS≤-11.3%group,GLS>-11.3%group had significantly higher peak levels of creatine kinase-MB(CK-MB)and troponin T(TnT)(P<0.001).A higher proportion of patients in GLS>-11.3%group had the left anterior descending artery(LAD)as the culprit vessel,while a lower proportion had the right coronary artery(RCA)as the culprit vessel(P<0.001).Additionally,GLS>-11.3%group had longer QRS duration(P<0.001)and a higher incidence of pathological Q waves(P=0.001).Regarding CMR parameters,GLS>-11.3%group exhibited larger global circumferential strain(GCS),infarct size(IS),and left ventricular end-systolic volume(LVESV),as well as lower global radial strain(GRS)and left ventricular ejection fraction(LVEF)(P<0.001).Multivariate logistic regression indicated that peak TnT(OR=1.092,P=0.001),LAD culprit vessel(OR=3.744,P<0.001),and QRS duration(OR=1.026,P<0.001)were significantly associated with severely impaired GLS.Multiple stepwise linear regression analysis showed that the logarithmic value of peak TnT,LAD as the culprit vessel,and the square root of QRS duration were linearly correlated with GLS values(adjusted R2=0.301,P<0.001),and these independent variables explained 30.1%of the variation in GLS.Conclusion Elevated peak TnT,prolonged QRS duration,and LAD as the culprit vessel are significantly associated with severe GLS impairment in STEMI patients,indicating more severe myocardial infarction and worse left ventricular function.

In recent years,the prevalence of porcine infectious pleuropneumonia caused by Actinoba-cillus pleuropneumoniae(APP)has significantly increased in large-scale pig farms in China.The i-solation,identification,and biological characteristic testing of newly prevalent strains have impor-tant clinical significance.This study isolated four suspected APP strains(named XB2T-56,JMTLP-443,YD-THB-755,SYZJ-291)from lung samples of pig farms suspected of outbreaks of porcine infectious pleuropneumonia in Hubei Province.They were identified by PCR amplification,and multiplex PCR serological typing,the biological properties were tested by detecting the growth a-bility,hemolytic activity and biofilm forming ability.The drug resistance of the strains was ana-lyzed by drug sensitivity testing,and the virulence of one strain(XB2T-56)in mice and piglets was evaluated.The PCR identification result showed that all four clinical isolates were APP serotype 15 strains.These four strains grew slower than serotype 1 standard strains,had weaker hemolytic activity,but could form stronger biofilms.These strains are all less sensitive to cephalosporin,tylo-sin,sulfamethoxazole,and doxycycline,but sensitive to cefotaxime and enrofloxacin.The mice and piglet infection experiments showed that the isolated strain XB2T-56 has strong virulence.Artifi-cial intranasal infection causes acute death in piglets,with typical symptoms of pleuropneumonia in the lungs,and serotype 15 strains can be isolated from the lesion site.This study indicates that the APP serotype 15 strain has strong virulence,providing new date for the clinical epidemiological characteristics of APP.

Objective:To identify competency evaluation indicators for psychological hotline professionals,provi-ding scientific reference for their training and assessment.Methods:Through literature review,initial competency evalua-tion indicators were selected,followed by Delphi consultation with sixteen experts across China.The analytic hierarchy process(AHP)was used to assign weights to each indicators.Results:The response rate of expert consultation question-naire was 100％,and the expert authority coefficients for the two rounds of consultation were 0.92 and 0.90 respective-ly.After two rounds of expert consultation,a competency evaluation index system for professional counselors of psycho-logical aids hotline was constructed,including four first-level indexes,nine second-level indexes,and 34 third-level inde-xes.The weight of each index was determined using the AHP.The Kendall coefficient of concordance of all level's inde-xes in the two rounds of consultation were 0.16-0.18 and 0.16-0.25,respectively.Conclusion:The expert consensus developed in this study serves as an reference for evaluating the competency of psychological hotline professionals,sup-porting their training and assessment.

Objective To establish a molecular method for the identification of Aucklandia lappa Decne.and its common adulterants,Inula helenium L.,based on tetra-primer amplification refractory mutation system(ARMS).Methods After the analysis and comparison of internal transcribed spacer 2(ITS2)sequence differences between Aucklandia lappa Decne.and Inula helenium L.,single-nucleotide polymorphism(SNP)sites were found to design specific primers for identification,the ARMS method was established to specifically amplify samples from different sources,and identification was carried out according to the size of specific amplification bands.Results The results showed that 170 bp and 271 bp specific bands could be amplified by Aucklandia lappa Decne.and Inula helenium L.,respectively,under the following conditions:annealing temperature 56℃,cycle number 25,primer concentration ratio of internal and external primers 1∶4,agarose gel concentration 1.5%and using 2×TSINGKE Master Mix(blue),the detection limit of adulterates in Aucklandia lappa Decne.and Inula helenium L.mixture sample was 5%.The 23 samples collected from the market were identified,results comparison was the same among ARMS detection,DNA barcoding,and plant classification.Conclusion The ARMS method established in this study can accurately identify Aucklandia lappa Decne.and Inula helenium L.,which has the characteristics of strong specificity and high sensitivity and simple operation,can provide basic research for solving the problem of admixture identification and technical support for the quality control of Aucklandia lappa Decne.medicinal materials.