OBJECTIVE To explore the characteristics and influential factors of pharmaceutical clinic service demands， providing evidence for optimizing pharmaceutical service models and facilitating pharmaceutical service models of pharmacist role transformation. METHODS A cross-sectional survey design was adopted， and 410 outpatient participants were selected from Fudan University Shanghai Cancer Center through convenience sampling for questionnaire administration from February to May 2025. Kano model was applied to analyze the demand attributes of 25 pharmaceutical services， while questionnaires were used to assess patients’ awareness and demand status. Subgroup analyses were conducted based on key demographic variables such as gender， age， educational attainment， and economic burdens， to SACA- systematically examine the differences in Kano attribute classification among patients in each subgroup. RESULTS The awareness rate of pharmaceutical outpatient services among patients was only 14.63%， yet those who were aware demonstrated a significantly higher demand rate for such services compared to those who were unaware （P＜0.001）. The demand for pharmaceutical clinic services exhibited a hierarchical characteristic： twelve items were identified as attractive attributes （e. g.， providing suggestions for more affordable treatment options， offering online consultation services， etc.）， five items as expected attributes （e.g.， having a good attitude and being able to patiently answer your questions， etc.）， three items as must-have attributes （e.g.， providing guidance on medication dosage and usage， providing guidance on medication precautions， etc.）， five items as indifferent attributes （e.g.， providing treatment plan recommendations based on the patient’s condition）. There were zero items classified as reverse attribute. Subgroup analysis revealed that female patients showed greater concern for “neat and clean attire of medical staff” than male patients （P＜0.001）； patients under 60 years of age demonstrated stronger demand for “providing treatment plan recommendations based on patients’ conditions” compared to patients aged 60 or above （P＝0.016）； those with below high school education placed greater emphasis on “providing guidance on medication precautions” compared to those with a high school education or above （P＝0.011）； patients with lower economic burdens exhibited stronger preferences for “neat and clean attire of medical staff ” （P＝0.002）. CONCLUSIONS The public awareness rate of pharmaceutical clinic services is considerably low； however， those who are aware of such services demonstrate significantly higher demand. The medication safety-related services and convenience-oriented demands should be prioritized in the development of pharmaceutical clinics. Moreover， the study also revealed that factors such as gender， age， educational level， and economic burdens exert significant influences on patients’ service demands.

BACKGROUND:Due to natural degradation,excellent biocompatibility and good mechanical properties,magnesium alloy has become a very valuable implant material in the biomedical field.However,the rapid degradation rate of magnesium alloy limits its further development and application. OBJECTIVE:To review the principle of the degradation of magnesium and its alloys in a physiological environment.The current research status of alloying elements selection is mainly introduced from the aspects of the safety of elements and their influence on the properties of magnesium and its alloys. METHODS:The articles were searched by using the databases of CNKI,PubMed,Web of Science and Elsevier.The key words were"magnesium(alloy),metal name(such as:bismuth(Bi),aluminum(Al)),corrosion,biocompatibility,metal toxicity,scaffold(stent)/screw"in Chinese and English.The search period was from 2013 to 2023.As a result,70 articles were applied for analysis after reading the contents of the articles. RESULTS AND CONCLUSION:Magnesium alloy has been widely studied in the medical field.Although some products have been applied in clinical practice,the high degradation rate of magnesium alloy in the human environment is still the main limitation of large-scale clinical application.The focus of future development is to control its corrosion rate.Alloying is a kind of method to improve the corrosion resistance of magnesium alloys,and various properties can also be improved by adding different alloy components.However,simple alloying cannot satisfy the pursuit of diversified properties of magnesium alloys.To develop multifunctional magnesium alloy products with excellent performance,it is necessary to combine various optimization methods,such as alloying and surface modification,to make up for the shortcomings of their respective methods in the future.In addition,the alloy structure updating with preparation process improvement is combined to enhance the properties of magnesium alloy.

Objective To explore the mechanism of immediate effect regulated by acupuncture on acupoints in patients with migraine without aura(MwoA)during the interictal period.Methods A total of 28 MwoA patients were enrolled and resting-state functional magnetic resonance imaging(rs-fMRI)were performed at baseline and after acupuncture for 30 minutes.Paired t test was used to compare the differences of regional homogeneity(ReHo)and voxel-mirrored homotopic connectivity(VMHC)between two groups.Additionally,the correlation between the changes of rs-fMRI indexes and clinical scores was analyzed.Results In MwoA patients after acupuncture for 30 minutes,the mean regional homogeneity(mReHo)was decreased in the right lingual gyrus and right cere-bellum and was increased in the right middle frontal gyrus,while the z transformation voxel-mirrored homotopic connectivity(zVMHC)was significantly decreased in the bilateral cuneus compared with baseline.There was no significant correlation between imaging data and clinical scales.Conclusion Patients with MwoA after acupuncture for 30 minutes show abnormal ReHo and VMHC in multiple brain regions,which suggest that the mechanism of immediate effect may act through regulating pain-related brain regions.

Objective:To analyze the clinical phenotype and genetic etiology of a child with Multiple congenital anomalies-hypotonia-seizures syndrome 1 (MCAHS1).Methods:Clinical data of a 2-year-old boy who had presented at the Affiliated Hospital of Qingdao University in March 2023 for "intermittent limb twitching for 2 years" was collected. Peripheral blood samples were collected from the child and his parents for whole-exome sequencing (WES). Candidate variants were verified by Sanger sequencing and bioinformatic analysis based on the guidelines from the American College of Medical Genetics and Genomics (ACMG).Results:The child had manifested with distinctive facial features, limb deformities, hypotonia, motor and intellectual delays, and epileptic seizures. WES revealed that he has harbored compound heterozygous variants of the PIGN gene, namely c. 963G>A (p.Q321=) and c. 994A>T (p.I332F), which were inherited from his phenotypically normal mother and father, respectively. Based on the ACMG guidelines, the c. 963G>A was classified as a pathogenic variant (PVS1+ PM2_Supporting+ PM3), whilst the c. 994A>T was classified as a variant of uncertain significance (PM2_Supporting+ PP3). Conclusion:Above discovery has expanded the mutational spectrum of the PIGN gene variants associated with MCAHS1, which may facilitate delineation of its genotype-phenotype correlation.

Objective To construct a model for predicting the benign and malignant risk of the patients with gastric diseases using con-ventional laboratory indicators such as tumor markers,blood routine,and coagulation indicators,and validate its predictive value.Methods The medical records of patients with gastric diseases who visited the First Affiliated Hospital of Guangzhou Medical Univer-sity from January 2018 to January 2023 were analyzed retrospectively.According to the pathological results,the patients were divided into the gastric cancer(GC)group(n=134)and chronic non-atrophic gastritis(CNAG)group(n=298).Their routine test data such as serum and whole blood tests were collected.The statistical analysis was conducted using the R 4.2.3 software,and a model for pre-dicting the risk of GC was constructed and validated.Results A model for predicting the risk of GC was constructed successfully using the Logistic regression analysis,which included D-dimer,carcinoembryonic antigen(CEA),carbohydrate antigen 72-4(CA72-4)and hemoglobin(Hb).A visual nomogram was plotted as the final prediction model.The areas under the receiver operating characteristic(ROC)curve(AUCROC)of the model in the training and testing sets were 0.809(95%CI:0.754-0.864)and 0.808(95%CI:0.724-0.892),respectively.The sensitivity and specificity of the model were 58.5%and 93.3%,respectively,indicating that it had good pre-dictive ability.Conclusion The model for predicting the malignant risk of patients with gastric diseases constructed using routine tes-ting indicators has good accuracy and can effectively predict the risk of gastric disease transforming into gastric cancer.It helps to find early gastric cancer patients in clinical practice and take targeted prevention and intervention measures.

[Purpose]To analyze the trend of incidence and mean age at diagnosis of lymphoma in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]Continuous and com-pleted data of cancer incidence from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province,and all indicators meeting the requirements.Joinpoint 4.7.0.0 software was used to analyze the trend of lymphoma incidence,the average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated.A birth cohort was built from 1929 to 2019,to ana-lyze the change trend of lymphoma incidence rate among people born in different periods.[Re-sults]From 2009 to 2019,the AAPC of lymphoma incidence rate in cancer registration areas of Jiangsu Province was 5.74％,5.55％for men and 5.02％for women.The AAPC in urban areas was higher than that in rural areas(6.26％vs 4.90％).The age-standardized incidence rate(ASIR)of lymphoma increased by 3.40％annually on average.The rising amplitude of ASIR of women(3.16％)was higher than that of men(3.05％),and the rising amplitude of ASIR of lymphoma in urban areas(3.39％)was higher than that in rural areas(2.43％).The birth cohort analysis showed that the incidence rate of lymphoma fluctuated greatly before the age of 40,and there was no sig-nificant trend of change,while the incidence rate in age groups of 40 years old and above showed an overall upward trend.The average age at onset of lymphoma showed an upward trend from 2009 to 2019,with an average annual increase of 0.35 years old(P＜0.001).The standardized average age at onset for lymphoma still showed a significant upward trend,with an average annual increase of 0.15 years old(P=0.016).Compared with 2009,the standardized age specific incidence of lym-phoma in 2019 showed an overall backward trend,while the standardized incidence in all age groups after 60 years old(except for the age group of 70～74 years old)increased.The proportion of lymphoma in people above 60 years old was 56.16％in 2019,which was higher than that in 2009(52.57％).[Conclusion]The incidence rate of lymphoma in Jiangsu Province was increasing year by year from 2009 to 2019.The age at onset tended to shift back,and the trend was more pronounced in male than female.

Lung cancer is a malignant tumor with the highest mortality worldwide, and its early diagnosis and evaluation have a crucial impact on the comprehensive treatment of patients. Early preoperative diagnosis of lung cancer depends on a variety of imaging and tumor marker indicators, but it cannot be accurately assessed due to its high false positive rate. Liquid biopsy biomarkers can detect circulating tumor cells and DNA in peripheral blood by non-invasive methods and are gradually becoming a powerful diagnostic tool in the field of precision medicine for tumors. This article reviews the research progress of liquid biopsy biomarkers and their combination with clinical imaging features in the early diagnosis of lung cancer.

Engineered probiotics can serve as therapeutics based on their ability of produce recombinant immune-stimulating properties. In this study, we built the recombinant Bacillus subtilis WB800 expressing antimicrobial peptide KR32 (WB800-KR32) using genetic engineering methods and investigated its protective effects of nuclear factor-E2-related factor 2 (Nrf2)‍-Kelch-like ECH-associated protein 1 (Keap1) pathway activation in intestinal oxidative disturbance induced by enterotoxigenic Escherichia coli (ETEC) K88 in weaned piglets. Twenty-eight weaned piglets were randomly distributed into four treatment groups with seven replicates fed with a basal diet. The feed of the control group (CON) was infused with normal sterilized saline; meanwhile, the ETEC, ETEC+WB800, and ETEC+WB800-KR32 groups were orally administered normal sterilized saline, 5×10¹⁰ CFU (CFU: colony forming units) WB800, and 5×10¹⁰ CFU WB800-KR32, respectively, on Days 1‍‒‍14 and all infused with ETEC K88 1×10¹⁰ CFU on Days 15‍‒‍17. The results showed that pretreatment with WB800-KR32 attenuated ETEC-induced intestinal disturbance, improved the mucosal activity of antioxidant enzyme (catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx)) and decreased the content of malondialdehyde (MDA). More importantly, WB800-KR32 downregulated genes involved in antioxidant defense (GPx and SOD1). Interestingly, WB800-KR32 upregulated the protein expression of Nrf2 and downregulated the protein expression of Keap1 in the ileum. WB800-KR32 markedly changed the richness estimators (Ace and Chao) of gut microbiota and increased the abundance of Eubacterium_rectale_ATCC_33656 in the feces. The results suggested that WB800-KR32 may alleviate ETEC-induced intestinal oxidative injury through the Nrf2-Keap1 pathway, providing a new perspective for WB800-KR32 as potential therapeutics to regulate intestinal oxidative disturbance in ETEC K88 infection.
Animals ; Swine ; Enterotoxigenic Escherichia coli ; Kelch-Like ECH-Associated Protein 1 ; Bacillus subtilis ; NF-E2-Related Factor 2 ; Antioxidants ; Oxidative Stress

The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (M^pro) and papain like protease (PL^pro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851M^pro inhibitors and 205 PL^pro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both M^pro and PL^pro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of M^pro inhibitors and over 20% of PL^pro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 M^pro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans ; Antiviral Agents/chemistry* ; COVID-19 ; COVID-19 Drug Treatment ; High-Throughput Screening Assays ; Molecular Docking Simulation ; Protease Inhibitors/chemistry* ; SARS-CoV-2/enzymology* ; Viral Nonstructural Proteins

Objective:To evaluate the clinical radiological features combined with circulating tumor cells in the diagnosis of benign and malignant pulmonary solid nodules.Methods:Clinical data of 437 patients from Shanghai Pulmonary Hospital(SPH cohort) from January to April 2021 and 82 patients from Lanzhou University First Hospital (LZH cohort) from August 2019 to May 2022 were retrospectively included. Patients in Shanghai pulmonary hospital were randomly divided into training set and internal validation set in a ratio of 4∶1 by random number table method and patients in Lanzhou University First Hospital were as external validation set. Independent risk factors were selected by regression analysis of training set constructed a Nomogram prediction model. The performance of the Nomogram prediction model was estimated by applying receiver operating curve( ROC) analysis, tested in different nodules size and intermediate risk IPSNs and tested by calibration curve. Results:Independent risk factors selected by regression analysis for solid pulmonary nodules were age, the level of CTC, pleural Indentation, lobulation, spiculation. The Nomogram prediction mode provided an area under ROC( AUC) of 0.888, 0.833 in internal validation set and external validation set, outperforming radiological features model(0.835, P=0.007; 0.804, P=0.043) Mayo clinical model(0.781, P=0.019; 0.726, P=0.033) and CTCs(0.699, P=0.002; 0.648, P=0.012) in both two validation sets, C-index of 0.888, 0.871 and corrected C-index of 0.853, 0.842 in both two validation sets . The AUC of the prediction model with internal validation set was 0.905 and 0.871 for nodule diameter of 5-20 mm and intermediate risk probability. Conclusion:The prediction model in this study has better diagnostic value and practicability, and is more effective in clinical diagnosis of diseases.