Rheumatic diseases are a group of chronic disorders characterized by abnormalities in the immune system， while portal hypertension occurs due to increased blood flow or heightened resistance in the portal venous system or obstruction of hepatic venous outflow. Both rheumatic diseases and their medications can lead to noncirrhotic portal hypertension. The hypercoagulable state associated with rheumatic diseases can result in thrombosis within the portal and hepatic venous systems， and damage to the intrahepatic portal system and hepatic sinusoidal endothelial system can lead to porto-sinusoidal vascular disease and hepatic sinusoidal obstruction syndrome. Moreover， drugs used for the treatment of rheumatic diseases may cause liver parenchymal injury， which further leads to liver fibrosis and cirrhosis， or they may damage the hepatic vascular endothelium and thus cause noncirrhotic portal hypertension. This article elaborates on the mechanisms and characteristics by which common rheumatic diseases and their therapeutic agents lead to portal hypertension， in order to provide insights and assistance for clinical diagnosis， treatment， and follow-up monitoring.

Sepsis-induced lung injury is a common type of sepsis complicated with multiple organ dysfunction syndrome， whose uncontrolled inflammatory response and oxidative stress are the key pathological mechanisms. As an important pathway of anti-inflammatory and anti-oxidative stress， the nuclear factor-erythroid 2-related factor 2 （Nrf2） signaling pathway is very important in the occurrence and development of sepsis-induced lung injury. This review summarizes relevant research conducted over the past decade on the regulation of the Nrf2 signaling pathway by traditional Chinese medicine （TCM） to ameliorate sepsis- induced lung injury. It has been found that 14 kinds of TCM effective ingredients （including five types of compounds： flavonoids， terpenes， alkaloids， saponins， phenols） and 6 kinds of compound preparations （including three types of formulas： heat-clearing and detoxifying formulas， purgative formulas for promoting bowel movement， and formulas for reinforcing vital qi and consolidating the constitution） can inhibit inflammatory responses and oxidative stress by activating Nrf2 signaling pathway and intervening in related pathways such as those involving Kelch-like ECH-associated protein 1， heme oxygenase-1， antioxidant response element and AMP-activated protein kinase， thereby alleviating sepsis-induced lung injury.

OBJECTIVE To explore a new model of intelligent medication education for pharmaceutical outpatient clinics by constructing dynamic HTML web pages through the DeepSeek-V3-0324 large-scale model. METHODS Clinical pharmacists integrated key clinical information such as patients’ basic information， medication history and medication precautions in real time， and generated a standardized medication education list through the DeepSeek-V3-0324 large-scale model and manual review. RESULTS The DeepSeek-V3-0324 large-scale model was applied in the pharmaceutical outpatient clinics to generate a personalized medication education list， which could effectively solve the disunity of pharmacy guidance caused by the lack of standardization of medication education and the difference of individualized experience of pharmacists in the traditional pharmaceutical outpatient clinics in the face of complex cases， and medication errors caused by forgetting or misremembering information among certain special patient populations after receiving medication education. CONCLUSIONS The transformation and application of artificial intelligence technology in pharmaceutical outpatient clinics is an innovation of pharmaceutical outpatient service means， which can provide patients with immediate and personalized medication education and improve the quality of pharmaceutical care. However， it is also necessary to face the lag of database update and the lack of risk management， as well as the lack of diversification of medication education lists.

OBJECTIVE To study the interventional effect and mechanism of 1，8-cineole on pancreatic β cell ferroptosis induced by type 2 diabetes. METHODS In vitro ferroptosis model was established in pancreatic β cells of mice by using high glucose. The effects of low-dose and high-dose 1，8-cineole （0.25， 0.5 μmol/L） on the level of Fe2+ in pancreatic β cells were investigated. The effects of 1，8-cineole （0.5 μmol/L） combined with ferroptosis inducer Erastin （20 μmol/L） and ferroptosis inhibitor Ferrostatin-1 （20 μmol/L） on the protein expressions of glutathione peroxidase-4 （GPX4） and cyclooxygenase-2 （COX2） were also detected. The type 2 diabetes model mice were established by feeding high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin. The effects of low-dose and high-dose 1，8-cineole （50， 200 mg/kg） on the pathological morphology of pancreatic tissue， the content of iron as well as the protein expressions of GPX4 and COX2 were investigated. RESULTS The results of the cell experiment showed that compared with the model group， pretreatment with 1，8-cineole significantly reduced intracellular Fe2+ levels and upregulated GPX4 protein expression， while downregulated COX2 protein expression in pancreatic β cells （P＜0.05）. After combining with Ferrostatin-1， the expression trends of the above two proteins were the same， while there was no statistically significant difference after combining with Erastin. The results of animal experiments showed that compared with the model group， after intervention with 1，8-cineole， the structure of the pancreatic islets in mice recovered intact and their morphology improved； the iron content of pancreatic tissue and protein expression of COX2 were decreased significantly （P＜0.05）， while protein expression of GPX4 was increased significantly （P＜0.05）. CONCLUSIONS 1，8-cineole could ameliorate pancreatic β cell injury induced by diabetes， the mechanism of which may be related to reducing intracellular iron deposition and regulating ferroptosis-related proteins.

Objective To analyze the influence of intraoperative blood glucose fluctuation and postoperative insulin resistance(IR)on postoperative cognitive dyfunction(POCD)in elderly patients undergoing thoracoscopic radical resection of lung cancer under general anesthesia.Methods A total of 352 elderly patients undergoing thoracoscopic radical resection of lung cancer under general anesthesia were collected and divided into the POCD group(n=84)and the non-POCD group(n=268).The covariates between the two groups were balanced by propensity score matching method(PSM).Eighty-four cases in each group were successfully matched.The data between the two groups before and after PSM were compared.After PSM,receiver operating characteristic(ROC)curve of blood glucose fluctuation amplitude for predicting POCD was drawn,and patients were divided into the low-level blood glucose fluctuation group(n=97)and the high-level blood glucose fluctuation group(n=71)according to the cut-off value.According to the existence of postoperative IR,patients were divided into the IR group(n=53)and the non-IR group(n=115).Then,incidences of POCD between groups were compared.Logistic regression was used to analyze the influencing factors of POCD.Results Before PSM,the POCD group had older age,higher blood glucose fluctuation amplitude,IR ratio,operation time,anesthesia time,propofol dosage,remifentanil dosage and sufentanil dosage in anesthesia maintenance period than those in the non-POCD group(P＜0.05).The POCD group had higher blood glucose fluctuation amplitude and IR ratio than those in the non-POCD group after PSM(P＜0.05).After PSM,the incidences of POCD in the high-level blood glucose fluctuation group and the IR group were higher than those in the low-level blood glucose fluctuation group and the non-IR group(P＜0.05).Logistic regression analysis showed that higher intraoperative blood glucose fluctuation(OR=9.140,95%CI:4.338-19.257)and postoperative IR(OR=4.034,95%CI:1.163-13.991)were risk factors of POCD.Conclusion The risk of POCD in elderly patients undergoing thoracoscopic radical lung cancer surgery under general anesthesia is increased in patients with higher intraoperative blood glucose fluctuation and postoperative IR.

Objective To explore the effects of HPV16 E6 on genes and signaling pathways in cervical epithelial cells and to screen genes associated with oncogenic transformation.Methods HUCEC models infected with HPV16 E6 were constructed,and transcriptome sequencing was performed to screen for differentially expressed genes(DEGs),which were subjected to Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment to analyze the differential signaling pathways.RT-qPCR was used to validate major differentially down-regulated expressed genes.After predicting the major differentially expressed proteins by molecular docking analysis,the expression of major differential genes in HUCEC cell model was verified by RT-qPCR and Western blotting.In addition,RT-qPCR and Western blotting were used to further verify the expression of major differential genes in cervical cancer cell lines,SiHa and CaSki.Results A total of 55 genes with more than two-fold differential expression were screened.The results centering on down-regulated genes showed that the negatively regulated differential gene was mainly enriched in redox processes;KEGG enrichment analysis revealed that it was mainly associated with carbohydrate metabolism and cancer.RT-qPCR results showed that the down-regulated differential expression trends of the selected 10 genes were basically consistent with the sequencing results.Molecular docking analysis predicted an interaction between DHRS2 and HPV16 E6,and RT-qPCR and Western blotting confirmed that HPV16 E6 down-regulated DHRS2 mRNA(P＜0.01)and protein(P＜0.05)and ETV5 protein expression(P＜0.01).In SiHa and CaSki cells,compared with the control group,the mRNA and protein expression of DHRS2 was downregulated and positively correlated with the trend of P53 protein expression(P＜0.05).Conclusion HPV16 E6 can mediate oncogenic transformation of cervical cells and promote cervical carcinogenesis through downregulating DHRS2 expression.

Objective:This study aimed to explore the performance of renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) score, and renal venous Doppler waveform (RVDW) pattern in predicting 28-day renal dysfunction in critically ill patients and establish nomogram model.Methods:This was a prospective, observational study. Critically ill patients admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 2018 to October 2022 were included. Patients underwent renal ultrasound examination to obtain RRI, PDU score and RVDW pattern within 24 h after ICU admission. The following clinical variables were collected during the renal ultrasound examination session, including heart rate, mean arterial pressure, type and dose of vasoactive drugs, oxygen therapy parameters, and average urine volume per hour derived from a period of 6 h prior to the ultrasound examination. The data on duration of AKI and mortality were recorded on the 28th day of follow-up. Patients were divided into 28-day normal renal function group and 28-day renal dysfunction group according to 28-day renal dysfunction. 28-days of renal dysfunction was defined as failure to achieve renal function recovery within 28 days of ICU admission. The difference of each index between the two groups was compared. Associated factors for 28-day renal dysfunction were determined by univariate and multivariate COX regression analyses. A nomogram was developed based on the independently factors associated with 28-day renal dysfunction. Survival receiver operator characteristic (ROC) curves were plotted to assess diagnostic performance in predicting 28-day renal dysfunction. Delong’s test was used to compare area under the curves (AUC) between each predictor.Results:187 patients were enrolled for the final analysis: 97 with no AKI, 48 with AKI stage 1, 24 with AKI stage 2, and 18 with AKI stage 3 upon enrollment. At 28-day follow up, 16 patients had renal dysfunction and 2 required continuous renal replacement therapy (CRRT). The multivariate COX regression showed that RVDW and SCr upon enrollment were the independent risk predictors. Nomogram based on RVDW and SCr upon enrollment showed the best performance in predicting 14-day renal dysfunction (AUC = 0.918, 95% CI:0.871-0.964, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05). Nomogram also showed the best performance in predicting 28-day renal dysfunction (AUC = 0.924, 95% CI:0.865-0.983, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05) except for SCr upon enrollment. The optimal cutoff for nomogram in predicting 28-day renal dysfunction was ≤89.5 (sensitivity, 81.2%; specificity, 90.6%; Youden index, 0.719). Kaplan-Meier analysis showed that the median duration of renal dysfunction in the groups with total nomogram score >85.9 and ≤85.9 was 0 and 22 days (HR=0.220, 95% CI:0.129-0.376, P<0.001). Conclusions:SCr and RVDW pattern within 24 h from ICU admission were independent factors associated with 28-day renal dysfunction in critically ill patients. The value of the nomogram model based on these two factors in predicting 28-day renal dysfunction is superior to each single intrarenal Doppler spectrum indicator and clinical indicator.

ObjectiveTo evaluate the clinical effectiveness of Bushen Huoxue Formula （补肾活血方） in the treatment of heart failure with mid-range ejection fraction. MethodsA total of 277 patients of heart failure with mid-range ejection fraction with syndrome of qi deficiency and blood stasis were randomly divided into the treatment group （139 cases） and the control group （138 cases）. The control group was given conventional western medicine， and the treatment group was given Bushen Huoxue Formula on the basis of the control group. Both groups were treated for 8 weeks. Left ventricular ejection fraction （LVEF）， N-terminal B-type natriuretic peptide （NT-pro BNP） level， cardiac function grade， Minnesota heart failure quality of life score， anxiety score， depression score， and the major incidence of cardiovascular adverse events and re-hospitalization rate after 6-month treatment were compared between the two groups before and after treatment. ResultsThere were 10 withdrawals in the treatment group and 6 withdrawals in the control group， so 129 cases in the treatment group and 132 cases in the control group completed the trial. After treatment， LVEF increased and NT-pro BNP level decreased in both groups （P＜0.05）； compared with those in the control group， LVEF increased and NT-pro BNP level decreased in the treatment group （P＜0.05）. The total rate of graded improvement of cardiac function in the treatment group （97.67%， 126/129 cases） was higher than that in the control group （84.09%， 111/132 cases） （P＜0.05）. After treatment， the Minnesota heart failure quality of life score， anxiety score， and depression score were lower in both groups （P＜0.05）， and the above scores in the treatment group were lower than those in the control group （P＜0.05）. After 6-month treatment， there was no death event in both groups， and there was no significant difference in the major incidence of cardiovascular adverse events between the treatment group （25.58%， 33/129 cases） and the control group （33.33%， 44/132 cases） （P＞0.05）. The rate of re-hospitalization in treatment group （14.73%， 19/129 cases） was lower than that in control group （30.30%， 40/132 cases） （P＜0.05）. ConclusionBushen Huoxue Formula can increase LVEF， reduce NT-pro BNP， improve quality of life， improve anxiety and depression， and reduce the rate of re-hospitalization in patients of heart failure with mid-range ejection fraction with syndrome of qi deficiency and blood stasis.

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.

In recent years, the research focus on health-related behavior and chronic non-communicable diseases has shifted from the analysis on independent effects of multiple causes on a single outcome to the evaluation the complex relationships between multiple causes and multiple effects. Complex network theory, an important branch of system science, considers the relationships among factors in a network and can reveal how health-related behaviors interact with chronic diseases through a series of complex network models and indicators. This paper summarizes the definition and development of complex network theory and its commonly used models, indicators, and case studies in the field of health-related behavior and chronic disease to promote the application of complex network theory in the field of health and provide reference and tools for future research of the relationship between health-related behavior and chronic disease.