Objective To investigate the combined effect of berberine （BBR） and fluconazole （FLC） on FLC-tolerant Candida albicans in vitro. Methods The sensitivity of 8 strains of Candida albicans to FLC was assessed by determining their minimal inhibitory concentration （MIC） using broth microdilution method. FLC-tolerant strains were screened from FLC-sensitive strains by disk diffusion assay. The effect of BBR combined with FLC on FLC-tolerant Candida albicans was investigated by disk diffusion assay. Results All eight strains of Candida albicans exhibited sensitivity to FLC, with minimal inhibitory concentration （MIC₅₀） values below 0.5 μg/ml. Strains Y0109, 9821, 7879, 7654, and 9296 displayed colony growth in the inhibition zone after 48 h of constant temperature incubation, indicating FLC tolerance. When strains Y0109 and 9821 were subjected to a combination of BBR and FLC, the number of colonies within the inhibition zone decreased progressively with the increase of BBR concentration following a 48 h constant temperature culture. The inhibition zone became clear with the increasing of BBR concentration and increased with the increase of FLC loading, which showed a dose-dependent relationship. Conclusion The BBR combined with FLC demonstrated efficacy against FLC-tolerant strains.

The Keap1-Nrf2 pathway has been shown to be an important defense mechanism against oxidative stress, which may be an effective therapeutic strategy for many diseases. The research progresses on Keap1-Nrf2 pathway in inflammatory diseases were mainly reviewed. The basic components and activation mechanism of Keap1-Nrf2 pathway were introduced. The relationship between Keap1-Nrf2 pathway and the crosstalk between NF-κB pathway and HO-1 pathway, the expression of inflammatory mediators and enzymes, and inflammatory bodies were expounded. Natural product-derived inhibitors, small molecule inhibitors targeting Keap1-Nrf2 pathway and their clinical progress were introduced, and the potential application value of Keap1-Nrf2 pathway in the treatment of inflammation was discussed.

Background Air pollution exposure has a significant impact on maternal and child health. However, the research on the association between ambient ozone (O₃) exposure during pregnancy and the risk of premature birth in newborns is limited, and the conclusions are inconsistent. Objective To investigate the association of ambient O₃ exposure during pregnancy with the risk of preterm birth in Guangdong Province. Methods Data of pregnant women in Guangzhou from 2013 to 2019 and Foshan from 2018 to 2023 were collected, and O₃ concentrations during different trimesters were assessed according to maternal residential addresses. Bilinear interpolation was used to evaluate the concentrations of air pollution. A cohort study design was adopted in our study. Restricted cubic spline curves were used to evaluate the exposure-response relationship between O₃ exposure and preterm birth risk and explore potential exposure threshold of O₃. Logistic regression models were used to evaluate the association of O₃ exposure with preterm birth. Results A total of 702 924 pregnant women were included in this study, of whom 43 051 (6.12%) were preterm. The average O₃ exposure concentrations of pregnant women during the first, second, third, and whole trimesters were 95.51, 97.51, 100.60, and 97.87 μg·m⁻³, respectively. We observed J-shaped associations between O₃ exposure and preterm birth risk during the second, third, and whole trimesters of pregnancy using restricted cubic spline curves. This study found that there were threshold concentrations between O₃ exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m⁻³, respectively. During the second, third, and whole trimesters of pregnancy, after adjusting for maternal age, baby sex, pre-pregnancy body mass index, mode of delivery, baby birth weight, gestational diabetes, and gestational hypertension, the odds ratios (OR) of preterm birth were 1.02 (95%CI: 1.01, 1.04), 1.02 (95%CI: 1.00, 1.03), and 1.17 (95%CI: 1.13, 1.21) for each 10 μg·m⁻³ increase in O₃ concentration above the O₃ threshold. No significant association was found between O₃ exposure and the risk of preterm birth during the first trimester. Conclusion There is a nonlinear association between the risk of preterm birth and O₃ exposure during pregnancy, and higher concentrations of O₃ exposure during pregnancy are associated with the risk of preterm birth. Above the O₃ threshold concentration during pregnancy, especially during the second, third, and whole trimesters, the risk of preterm birth elevates with the increase of O₃ exposure concentrations.

Objective To investigate the value of ¹⁸F-FDG PET/CT metabolic parameters in the prognostic assessment of nasopharyngeal cancer patients. Methods The clinical data and PET/CT metabolic parameters of 185 nasopharyngeal cancer patients were retrospectively analyzed. The collected parameters were SUV_max, MTV, TLG, total metabolic tumor volume (TMTV) and whole-body total lesion glycolysis (WTLG). The ROC curve was used to determine the optimal cut-off values of PET/CT metabolic parameters. Univariate and multivariate Cox regression models were used to screen the independent prognostic factors. Kaplan–Meier curves were used to analyze the survival differences. Results The results of univariate Cox regression analysis showed that age, pathologic type, WTLG, TMTV, MTV, and TLG were closely associated with OS and PFS; and SUV_max was associated with PFS (P<0.05). Multivariate Cox regression analysis results showed that age, TMTV, and WTLG were the independent prognostic factors for OS and PFS (P<0.05). The combination of WTLG with T/N staging (AUC=0.781 and 0.781) and TMTV with T/N staging (AUC=0.800 and 0.790) yielded greater predictive accuracy than that of WTLG and TMTV alone (AUC=0.724 and 0.719) or T/N staging (AUC=0.593 and 0.575). Conclusion TMTV and WTLG are important prognostic predictors of nasopharyngeal carcinoma. TLG and MTV of primary lesions are prognostic factors for patients’ PFS and OS. SUV_max has limited prognostic value. Systemic metabolic indexes (TMTV and WTLG), when combined with T/N staging, can optimize prognostic stratification.

OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Objective To explore the impacts of long non-coding RNA(LncRNA)GNAS antisense RNA1(GNAS-AS1)on the proliferation and migration of gastric cancer(GC)cells by regulating the miR-449a/Notch1 axis.Method Tumor tissue and adjacent tissue samples were collected from 30 patients diagnosed with GC at Sichuan Provincial People's Hospital from September 2013 to September 2017;GC cells AGS were randomly divided into Control group,si-NC group,si-GNAS-AS1 group,si-GNAS-AS1+inhibitor NC group,and si-GNAS-AS1+miR-449a inhibitor group.Real-time fluorescence quantitative PCR method was applied to detect the expres-sion of GNAS-AS1,miR-449a,and Notch1 mRNA;MTT experiments and plate cloning experiments were applied to detect the proliferation;wound healing test was applied to detect cell migration;Transwell experiment was applied to detect cell invasion.Western Blot was applied to detect the expression of Notch1,E-cadherin,Vimentin,and N-cadherin proteins.Double Luciferase reporter gene experiment was applied to verify the relationship between GNAS-AS1 and miR-449a,between miR-449a and Notch1,respectively.Results Compared with adjacent tissues,the expression of GNAS-AS1 and Notch1 mRNA in tumor tissue was increased,the expression of miR-449a was reduced(P<0.05).Compared with the Control group and si-NC group,the expression of GNAS-AS1,OD490 value,number of clones formed,scratch healing rate,number of cell invasions,and the expression of Notch1,Vimentin,and N-cadherin proteins in AGS cells in the si-GNAS-AS1 group reduced,the expression of miR-449a and E-cadherin protein increased(P<0.05).Compared with the si-GNAS-AS1 group and the si-GNAS-AS1+inhibitor NC group,the OD490 value,scratch healing rate,number of cell invasions,Notch1,Vimentin,and N-cadherin expression in the si-GNAS-AS1+miR-449a inhibitor group increased,the expression of miR-449a and E-cadherin protein reduced(P<0.05).GNAS-AS1 targeted and negatively regulated miR-449a expression,while miR-449a targeted and negatively regulated Notch1 expression.Conclusion Silencing GNAS-AS1 may inhibit the expression of Notch1 protein by up-regulating miR-449a,thereby inhibiting the proliferation,migration,and invasion pro-cesses of GC cells.

BACKGROUND:Animal models of diabetic encephalopathy that have been studied mainly include streptozotocin-induced model,high-sugar and high-fat diet-induced model and spontaneous animal model.Establishing a simple,easy,short-cycle,safe and effective model of diabetic encephalopathy can help to explore the subsequent pathogenesis and screen therapeutic drugs. OBJECTIVE:To further explore and evaluate the method of building diabetic encephalopathy rat models. METHODS:Twenty Sprague-Dawley rats were randomly divided into control(n=10)and model(n=10)groups.Rats in the model group were given a single injection of 45 mg/kg streptozotocin in the left lower abdominal cavity,and those in the control group were given the same amount of citrate buffer.During the experiment,the body mass,feed intake,water intake and blood glucose were measured.After 8 weeks,the glucose tolerance and oxidative stress levels were measured,and the pathological changes of brain tissue and the expression of apoptotic proteins were compared between groups. RESULTS AND CONCLUSION:Compared with the control group,the food intake,water intake,encephalization quotient,blood glucose and area under the blood glucose curve were significantly increased in the model group,while the body mass decreased significantly(P<0.01).Histopathological examination of the brain showed that compared with the control group,the number of surviving nerve cells was significantly reduced in the model group(P<0.01),with more significant pathological damage of nerve cells.Compared with the control group,the activities of serum superoxide dismutase,catalase and glutathione in the model group were significantly decreased(P<0.01),and the content of oxidative malondialdehyde was significantly increased(P<0.05).The expression levels of apoptosis-related proteins Bax and Caspase-3 in brain tissue increased in the model group compared with the control group,while the expression of Bcl-2 decreased(P<0.01).In conclusion,an 8-week injection of 45 mg/kg streptozotocin can cause obvious pathological damage to the brain tissue of diabetic rats,to successfully establish the rat model of diabetic encephalopathy.

Objective To investigate the effect of evodiamine(EVO)on retinal injury in diabetic rats by regulating the cyclic adenosine monophosphate(cAMP)/protein kinase A(PKA)signaling pathway.Methods Totally 96 Sprague-Dawley rats(192 eyes)were divided into the negative control(NC)group,Model group,low-dose EVO(EVO-L)group,medium-dose EVO(EVO-M)group,high-dose EVO(EVO-H)group,calcium dobesilate(CD)group,SQ22536 group and EVO-H+SQ22536 group,with 12 rats in each group.Rats in the NC group were intraperitoneally injected with physiological saline instead of streptozotocin,and diabetic retinopathy models were established in all other groups.After successful mod-eling,the drug was administered once a day for 4 weeks.The blood glucose level of rats in each group was measured by blood glucose meter;HE staining was applied to detect the pathological changes of the retina of rats;TUNEL staining was adopted to detect the apoptosis of ganglion cells in the retina of rats;the levels of superoxide dismutase(SOD),malondial-dehyde(MDA),tumor necrosis factor-α(TNF-α),interleukin(IL)-6 and cAMP in the retina of rats were detected;West-em blot was used to detect the protein expressions of Bcl-2 associated X protein(Bax),P53 and phosphorylated protein ki-nase A(p-PKA)in the retina of rats.Results Compared with the NC group,the pathological injury of the retina in the Model group was more serious;the blood glucose,apoptosis rate of retinal ganglion cells,MDA,TNF-α,IL-6,Bax and P53 protein expressions increased,and the SOD,cAMP and p-PKA/PKA protein expression decreased,with statistically significant differences(all P＜0.05).Compared with the Model group,the pathological injury of the retina was relieved,the blood glucose,apoptosis rate of retinal ganglion cells,MDA,TNF-α,IL-6,Bax and P53 protein expressions decreased,and the SOD,cAMP and p-PKA/PKA protein expression increased in the EVO-L group,EVO-M group,EVO-H group and CD group,with statistically significant differences(all P＜0.05).Compared with the Model group,the retinal tissue of the SQ22536 group was severely damaged,the blood glucose,apoptosis rate of retinal ganglion cells,MDA,TNF-α,IL-6,Bax and P53 protein expressions increased,and the SOD,cAMP,p-PKA/PKA protein expression decreased,with statistically significant differences(all P＜0.05).Compared with the EVO-H group,the EVO-H+SQ22536 group showed more serious pathological injury of retinal tissue,increased blood glucose,apoptosis rate of retinal ganglion cells,MDA,TNF-α,IL-6,Bax and P53 protein expressions,and decreased SOD,cAMP and p-PKA/PKA protein expression,and the differences were statistically significant(all P＜0.05).Conclusion EVO may alleviate retinal injury in diabetic rats by activating the cAMP/PKA signaling pathway.

Targeted delivery of antibody bound to antigen is a precise drug delivery mode. It is regarded as one of the ideal targeted drug delivery modes due to its high specificity and affinity, which opens up a new way to successfully solve the problem of poor selectivity of chemotherapy drugs in antitumor therapy. Currently, the research on antibody drug conjugates(ADCs) that bind monoclonal antibodies to target antigens has become a research hotspot of molecular targeted therapy. This paper reviews the mechanism of action, targeting strategies and progress in the targeted delivery of ADCs, in order to provide reference for the clinical development of new ADCs.