Pancreatic cancer is a kind of highly malignant tumor with a low survival rate and poor prognosis. The effectiveness of gemcitabine as a first-line chemotherapy drug is limited; however, it can activate dendritic cells and improve antigen presentation which increase the sensitivity of tumor cell to immunotherapy. Although immunotherapy has made some advancements in cancer treatment, the therapeutic benefit of programmed cell death receptor 1/programmed death receptor-ligand 1 (PD-1/PD-L1) blockade therapy remains relatively low. The chemokine C-X-C chemokine ligand 12 (CXCL12) contributes to an immunosuppressive tumor microenvironment by recruiting immunosuppressive cells. The receptor C-X-C motif chemokine receptor 4 (CXCR4), highly expressed in various tumors including pancreatic cancer, plays a crucial role in tumor development and progression. In this study, the anti-tumor immune response of human peripheral blood mononuclear cell (hPBMC) was enhanced using the combination of BsNb PX4 (anti-PD-L1&CXCR4 bispecific nanobody) and gemcitabine. In a co-culture system of gemcitabine-pretreated hPBMCs with tumor cells, the BsNb PX4 synergized gemcitabine to improve the cytotoxic activity of hPBMCs against tumor cells. Flow cytometry analysis confirmed increased ratio of CD8⁺ to CD4⁺ T cells in combination treatment. In NOD/SCID mice bearing pancreatic cancer, the combination treatment exhibited more infiltration of CD8⁺ T cells into tumor tissues, contributing to an effective anti-tumor response. This study presents potential new therapies for the treatment of pancreatic cancer. Ethical approval was obtained for collection of hPBMC samples from the Local Ethics Committee of Shanghai Jiao Tong University. All animal experiments were approved by the Animal Ethic Committee of Shanghai Jiao Tong University (authorizing number: A2024246).

OBJECTIVE To provide medication reference for duloxetine use in clinical settings， particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set （196 cases） and test set （85 cases） in the ratio of 7∶3. Feature selection was performed by encapsulating random forests （RF） with recursive feature elimination. Four machine learning algorithms， namely support vector machine， RF， extreme gradient boosting （XGBoost） and artificial neural network， were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination （R2）， mean absolute error （MAE） and root mean squared error （RMSE）. The feature of the selected optimal model was explained by Shapley additive explanation method， and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected， including age， ethnicity， body mass index（BMI）， etc. XGBoost showed the highest R2 （0.808）， and the lowest MAE （7.644） and RMSE （10.808）. The ranking of feature importance for predicting the blood concentration of duloxetine was as follows： BMI＞age＞other 20 feature sets （including liver and kidney function and biochemical indicators）＞daily dosage＞comorbidities＞combination therapy＞ethnicity＞white blood cell count＞hemoglobin＞height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration； BMI and age have a greater impact on the prediction of duloxetine blood concentration.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.

Objectives:To explore the effect and possible mechanisms of mild hypothermia on interferon(IFN)-α2b-induced AC16 cardiomyocytes apoptosis. Methods:Cardiomyocytes were stimulated in ordinary temperature and mild hypothermia by IFN-α2b under different concentrations for different times.Proliferation activity of cardiomyocytes was detected by CCK-8 assay.Apoptosis was detected by flow cytometry technique.The effects of different interventions on mitochondrial morphology were examined using Mito-Tracker Green and laser scanning confocal microscope,respectively.The mitochondrial membrane potentials under different intervention conditions were detected by flow cytometry.The fusion of dynamin-related protein 1(Drp1)and mitochondria,and the effects of different interventions on the mitochondria was examined by Drp1 or mitochondrial fluorescent probes and laser scanning confocal microscope.The effects of different intervention conditions on the protein expression level of Phospho-Drp1(p-Drp1)Ser616,Drp1,cleaved poly ADP-ribose polymerase1(cleaved-PARP1),poly ADP-ribose polymerase1(PARP1)were detected by Western blot. Results:CCK-8 assay and flow cytometry results showed that IFN-α2b inhibited the proliferation and enhanced the apoptosis of AC16 cardiomyocytes in a time and dose-dependent manner,these effects could be attenuated by mild hypothermia.Mito-Tracker Green,laser scanning confocal microscope and flow cytometry results showed that the extent of damage of mitochondria with different interventions were attenuated in the setting of mild hypothermia as compared with ordinary temperature.The morphology of mitochondria remained intact and the mitochondrial membrane potentials were the highest in mild hypothermia group.Injured AC16 cardiomyocytes released Drp1 from cytoplasm to mitochondria and increased mitochondrial fission,these effects were abolished after mild hypothermia.p-Drp1 Ser616/Drp1 ratio and cleaved-PARP1/PARP1 ratio were decreased after mild hypothermia,and above effects could be reversed by mitochondrial division inhibitor-1(Mdivi-1)pretreatment. Conclusions:Mild hypothermia inhibits IFN-α2b-induced AC16 cardiomyocytes apoptosis via improving mitochondrial function.

OBJECTIVE To investigate the mechanism of Cistanche deserticola in the treatment of inflammatory bowel disease （IBD）. METHODS The active components of C. deserticola were screened based on TCMSP and literature reports. The targets of active ingredients were obtained via Swiss Target Prediction platform. Then the disease targets were obtained by searching GeneCards and OMIM databases. PPI network and “drug-compound-disease-target” network were constructed. The core components and core targets were screened. GO and KEGG enrichment analyses were performed， and molecular docking verification was conducted for core targets and core components. The IBD mice model was established and divided into model group， positive control group （dexamethasone， 0.4 mg/kg） and C. deserticola extract group （100， 200， 400 mg/kg）； blank control group was set， with 8 mice in each group. Each group was given relevant medicine， once a day， for 7 consecutive days. Disease activity index （DAI） score and colon length were calculated， and the pathological morphology of the colon of mice was observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， myeloperoxidase （MPO），tumor necrosis factor-α （TNF-α）] in colon tissue， and protein expressions of core targets were detected. RESULTS A total of 39 active ingredients and 232 potential targets of C. deserticola in the treatment of IBD were obtained. The treatment of IBD with C. deserticola might be related to core components such as quercetin， suchilactone， β-sitosterol and cistanoside H， and core targets such as TNF， AKT1， STAT3， EGFR and SRC. GO and KEGG pathway analysis predicted that the biological processes of C. deserticola in the treatment of IBD were mainly related to protein phosphorylation， and negative regulation of apoptosis， mainly involving PI3K/AKT and EGFR tyrosine kinase inhibitor resistance signaling pathways. The results of molecular docking showed that the binding energy between the core components and core target of C. deserticola was less than －4.7 kJ/mol. Animal experiment results showed that after intervention with C. deserticola extract， the body weight and colon length of mice significantly increased （P＜0.05 or P＜0.01）， while DAI decreased significantly （P＜0.05 or P＜0.01）. The congestion and edema of colon mucosa were significantly reduced， and the pathological score of colon tissue was significantly decreased （P＜0.05 or P＜0.01）； the levels of IL-6， IL-1β， MPO and TNF-α， as well as the protein expressions of PI3K， phosphorylated PI3K （p-PI3K）， EGFR， TNF- α， STAT3， phosphorylated STAT3 （p-STAT3）， AKT1， phosphorylated AKT1 （p-AKT1） and SRC in colon tissue were reduced significantly （P＜0.05 or P＜0.01）， while the level of IL-10 was significantly increased in model group （P＜0.01）. CONCLUSIONS C. deserticola may alleviate IBD by regulating the SRC/EGFR/PI3K/AKT signaling pathway.

Objective To study the effects of hesperidin on the migration ability of human keratinocytes(HaCaT)and human skin fibroblasts(HSF).Additionally,this research aims to preliminary investigate the influence and underlying mechanism of Hesperidin in facilitating the healing process of acute skin wounds in mice.Methods HaCaT and HSF were divided into blank group(without any treatment),control group(added 0.1％dimethyl sulfoxide)and experimental group(added 5.0 μg·mL-1 hesperidin)for 48 h.The healing ability of cells in vitro was detected by scratch test.The migration of cells was detected by Transwell migration test.C57 mice were randomly divided into model group,experimental-L,-H groups.The acute full-thickness skin defect wound model was established by surgical clipping of the full-thickness skin of the back of mice.The model group was given 0.5％dimethyl sulfoxide,and the experimental-L,-H groups were given 10,50 mg·kg-1 hesperidin solution,respectively.The protein expressions levels of β-catenin,proliferating cell nuclear antigen(PCNA),keratin 14 and collagen Ⅰ were detected by Western blot.Results The scratch healing rates of HaCaT-blank group,HaCaT-control group and HaCaT-experimental group were(21.05±1.10)％,(22.33±1.72)％and(41.61±2.90)％;the cell migration numbers were 57.00±11.36,60.38±10.11 and 287.75±20.21,respectively.The scratch healing rates of HSF-blank group,HSF-control group and HSF-experimental group were(17.82±1.62)％,(19.81±3.87)％and(64.22±1.94)％,the cell migration numbers were 43.25±7.98,40.75±6.70 and 140.88±14.35,respectively.The HaCaT-experimental group was compared with HaCaT-blank group and HaCaT-control group,and the HSF-experimental group was compared with HSF-blank group and HSF-control group,the differences were statistically significant(all P＜0.05).The protein expression levels of β-catenin in the model group,experimental-L,-H groups were 0.53±0.06,0.74±0.17 and 1.44±0.11;the protein expression levels of keratin 14 were 0.33±0.06,0.54±0.07 and 1.26±0.16;the protein expression levels of PCNA were 0.46±0.05,0.72±0.09 and 1.14±0.11;the protein levels of collagen Ⅰ were 0.52±0.03,0.77±0.05 and 1.28±0.13,respectively.There were significant differences in the above indexes between the experimental-L,-H groups and the model group(P＜0.05,P＜0.01).Conclusion Hesperidin may promote the healing of acute skin wounds in mice by activating the Wnt/β-catenin signaling pathway and increasing the migration of HaCaT and HSF.

Objective To investigate the associations of reproductive health indicators with lung function and chronic obstructive pulmonary disease(COPD)among women aged 40 years and above.Methods From Jul to Sep,2021,female subjects aged 40 years and above were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for COPD screening.A questionnaire was used to obtain information on demographic characteristics and reproductive health indicators.Linear regression was used to analyze the effects of reproductive health indicators on forced vital capacity(FVC)and forced expiratory volume in the first second(FEV1).Logistic regression was also used to analyze the effects of reproductive health factors on FVC as a percentage of the predicted value(FVC%Pred)and FEV1%Pred as well as on COPD.Results A total of 1876 women aged 40 years and above were enrolled with mean age of(62.1±8.2)years old,among them,78.1%were menopausal,and 40.9%had been pregnant≥3 times.Multivariate analysis showed that FVC and FEV1 decreased in postmenopausal women,but menopause was not associated with a decrease in their percentage of predicted values.Pregnancies≥3 times was a risk factor for COPD(for 3 times,OR=4.92,95%CI:1.48-19.95,P<0.05;for≥4 times,OR=9.06,95%CI:2.32-41.57,P<0.01),while pregnancies of 2 times did not increase the risk of COPD.Conclusion In women aged 40 years and above,menopause is associated with poorer FVC and FEV1,and excessive pregnancy(≥3 times)is a risk factor for COPD.

Objective To investigate the latent classes of mental workload and related factors among cardiovascular nurses.Methods A convenience sample of 664 cardiovascular nurses were surveyed from Jun to Jul 2023.General information questionnaire,the Nurse Workload Index Scale and the Nursing Interruption Event Scale were conducted in the investigation.Latent class analysis and multiple Logistic regression analysis were employed to analyze the latent classes of nurses'mental workload and its related factors.Results Two latent classes were identified,named low mental workload group(25.90%)and a high mental workload group(74.10%).Multiple Logistic regression analysis revealed that educational qualifications(OR=1.641,95%CI:1.036-2.598),nursing interruption event scores(OR=1.060,95%CI:1.044-1.076),and the region of nurses(OR=0.688,95%CI:0.542-0.874)were the influencing factors for cardiovascular nurses'mental workload.Conclusion There are obvious categorical characteristics of cardiovascular nurses'mental workload,nurses with higher education,frequent interruption events,and from the eastern region have higher mental workload.Nursing managers need to focus on human resource allocation and optimize processes to reduce the occurrence of nursing interruptions.

The determinations of the operation mode and basic performance conformity for evaluating the electromagnetic compatibility of brain-computer interface rehabilitation robots were described based on relevant standards of the electromag-netic compatibility of medical electrical equipment.The performance deviations and their causes during the electromagnetic compatibility evaluation of brain-computer interface rehabilitation robots were analyzed with case studies,and some improve-ment suggestions were proposed accordingly.Technical references were provided for the manufacturers of brain-computer interface rehabilitation robots.[Chinese Medical Equipment Journal,2024,45(9):84-88]