ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective: To explore the current situation and related factors of AIDS discrimination among junior medical students in Jiangxi Province, so as to provide a reference for effective AIDS anti discrimination intervention measures in medical colleges. Methods: Using a convenience sampling approach, 2 484 medical students were selected from five universities in Jiangxi Province from July to August 2023. An anonymous survey was conducted using a general information questionnaire, a AIDS knowledge questionnaire, and the Chinese version of Zelaya s AIDS Stigma Scale. Independent sample t-tests and analysis of variance were carried out to analyze the level of AIDS discrimination among medical students with different characteristics. Multiple stepwise regression analysis was performed to identify the related factors of AIDS discrimination. Results: The total score of AIDS discrimination among medical students was (2.55±0.67). The dimension with the highest score was fear of contracting the disease (2.89±1.01). The results of the multiple stepwise regression analysis showed that the factors related to AIDS discrimination included gender ( β = -0.17 ), grade ( β =-0.08), being an only child or not ( β =-0.04), whether knowing about AIDS knowledge or not ( β =0.22), willingness to use condoms during sexual activity ( β =0.07), willingness to participate in school sexual health knowledge based activities ( β =0.05) and the perceived importance of selfhealth ( β =0.11) ( P <0.05). Conclusions AIDS discrimination is prevalent among junior medical students in Jiangxi Province. Efforts should be undertaken to enhance humanistic education and relevant knowledge dissemination among junior medical students to reduce the level of AIDS discrimination.

Six compounds were isolated from the roots of Ephedra sinica Stapf using various chromatographic techniques such as silica gel column chromatography, thin layer chromatography and semi-preparative HPLC. Their chemical structures were identified by analysis of physicochemical properties and spectral data, and determined as (Z)-docosanylferulate (1), (E)-docosanylferulate (2), bis (2-ethylheptyl) phythalate (3), 2,2′-oxybis (1,4-di-tert-butylbenzene) (4), diisobutyl phthalate (5), bis (2-ethylhexyl) phthalate (6). Among them, compound 1 is a new compound, compounds 2-4 were first isolated from Ephedra. A corticosterone-induced PC-12 cell injury model was used for compound activity screening. The results showed that compounds 1 and 5 significantly improved corticosterone-induced PC-12 cell injury and significantly increased 5-HT₇ receptor protein expression in the cells, indicating potential antidepressant activity.

Objective To evaluate the safety,tolerability and pharmacokinetic profiles of naldemedine in Chinese healthy adult subjects after single and multiple administrations.Methods After single and multiple oral administrations of naldemedine to 10 healthy Chinese subjects,the plasma concentrations of naldemedine and its metabolite(nor-naldemedine)were measured by liquid chromatography-mass spectrometry,and the pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.3.1 software.Results Compared with single administration,naldemedine showed no significant change in the tmax(1.06 h for single and 1.08 h for multiple)and Cmax(4.16 ng·mL-1 for single and 4.11 ng·mL-1 for multiple),higher AUC0-τ than that of single(23.88 ng·h·mL-1 for single and 28.93 ng·h·mL-1 for multiple),slightly prolonged t1/2(9.26 h for single,12.50 h for multiple),there was a slight drug accumulation after multiple doses(accumulation ratio of 0.99 for Cmax and 1.22 for AUC);t1/2(18.10 h for single,29.30 h for multiple),Cmax(0.19 ng·mL-1 for single,0.38 ng·mL-1 for multiple),and AUC0-τ(3.13 ng·h·mL-1 for single,6.02 ng·h·mL-1 for multiple)were all significantly elevated with nor-naldemedine,and the tmax(single was 3.49 h and multiple was 3.56 h)did not change significantly.The Cmax ratio and AUC ratio of metabolites to naldemedine were significantly elevated,and accumulation was present after multiple administrations(accumulation ratio of 2.01 for Cmax and 1.95 for AUC).All adverse events that occurred after treatment were mild.Conclusion After multiple oral administrations of 0.2 mg naldemedine tablets to Chinese healthy subjects(single dose on day 1 and once daily on days 4-13),the drug was eliminated rapidly with mild accumulation,and reached a steady state before the second dose of the multiple-dosing phase,and the product has a favorable safety and tolerability profiles.

Objective This study aimed to comprehensively analyze and compare the clinicopathological features and prognosis of Chinese patients with human epidermal growth factor receptor 2(HER2)-low early breast cancer(BC)and HER2-IHC0 BC. Methods Patients diagnosed with HER2-negative BC(N=999)at our institution between January 2011 and December 2015 formed our study population.Clinicopathological characteristics,association between estrogen receptor(ER)expression and HER2-low,and evolution of HER2 immunohistochemical(IHC)score were assessed.Kaplan-Meier method and log-rank test were used to compare the long-term survival outcomes(5-year follow-up)between the HER2-IHC0 and HER2-low groups. Results HER2-low BC group tended to demonstrate high expression of ER and more progesterone receptor(PgR)positivity than HER2-IHC0 BC group(P<0.001).The rate of HER2-low status increased with increasing ER expression levels(Mantel-Haenszel χ2 test,P<0.001,Pearson's R=0.159,P<0.001).Survival analysis revealed a significantly longer overall survival(OS)in HER2-low BC group than in HER2-IHC0 group(P=0.007)in the whole cohort and the hormone receptor(HR)-negative group.There were no significant differences between the two groups in terms of disease-free survival(DFS).The discordance rate of HER2 IHC scores between primary and metastatic sites was 36.84%. Conclusion HER2-low BC may not be regarded as a unique BC group in this population-based study due to similar clinicopathological features and prognostic roles.

Objective To observe the effectiveness of fluorescence labeling-based assay bundle intervention in the prevention and control of multidrug-resistant organism(MDRO)infection.Methods Patients who were detected MDRO in a hospital from January to December 2022 were selected as the research subjects.MDRO monitoring data and implementation status of prevention and control measures were collected.Fluorescence labeling assay was adopted to monitor the cleaning and disinfection effectiveness of the surrounding object surface of the bed units.Based on the bundled prevention and control measures as well as management mode of the pre-intervention group,the post-intervention group implemented enhanced rectification measures for the problems found by the pre-interven-tion group.Changes in relevant indicators between January-June 2022(before intervention)and July-December 2022(after intervention)were compared.Results There were 136 MDRO-infected patients in the pre-intervention group,208 MDRO strains were detected and 10 healthcare-associated infection(HAI)occurred.There were 128 MDRO-infected patients in the post-intervention group,198 MDRO strains were detected and 9 HAI occurred.Af-ter intervention,the total detection rates of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-re-sistant Acinetobacter baumannii(CRAB),and total MDRO from patients decreased significantly compared to before intervention(all P＜0.05).After intervention,the detection rates of MRSA,carbapenem-resistant Pseudomonas aeruginosa(CRPA),CRAB,and total MDRO from the surrounding object surface were all lower than those before intervention(all P＜0.05).The detection rate of MDRO from surrounding object surface before intervention was 34.52％,which showed a decreased trend after intervention(P＜0.05).The clearance rate of fluorescent labeled markers before intervention was 41.84％,which showed an upward trend after implementing intervention measures(from July to December),and increased to 85.00％at the end of intervention(November-December).The comp-liance rates of issuing isolation medical orders,placing isolation labels,using medical supplies exclusively,and cor-rectly handling medical waste after intervention have all increased compared to before intervention(all P＜0.05).Conclusion Adopting fluorescence labeling-based assay bundle intervention can effectively improve the effectiveness of MDRO infection prevention and control.

The objective of this study was to determine the frequency and resistance patterns of ESBL-producing E.coli in lambs with diarrhea in the Kashi area,Xinjiang.The findings may provide guidance for the prevention and control of clinical E.coli disease.We collected 385 samples of perianal feces from lambs with diarrhea in the Kashgar area.From these samples,we isolated 371 strains of E.coli.We then used the double-paper-sheet synergistic method to screen for ESBL-producing E.coli.Additionally,we conducted analyses to identify drug-resistance genes,analyze drug resistance,and study the phylo-typing of the screened strains.Of 371 E.coli strains,204 were identified as ESBL-producing strains.The prevalence rates of blaCTX-M,blaCTX-M-1G,blaCTX-M-9G,and bla TEM resistance genes was 67.65％,69.12％,30.39％,and 63.73％,respectively.All ESBL-pro-ducing strains were resistant to multiple drugs,with resistance rates ranging from 90.69％to 100％for eight specific drugs:ampicillin,cefotaxime,gentamicin,enrofloxacin,azithromy-cin,tetracycline,chloramphenicol,methotrexate,and amitrazine.The phylogenetic subgroups of the strains were distributed primarily in groups A and D.Among group A strains,41.11％exhibited resistance to ten drugs,whereas among group D strains,40％exhibited resistance to 11 drugs.ESBL-pro-ducing strains of Escherichia coli are the main pathogens cau-sing diarrhea in lambs in the Kashgar region;group A is the main group,and all groups are multi-drug resistant.

Aim To explore the protective effect of an-thocyanin B2(PCB2)on hydrogen peroxide(H2O2)induced oxidative damage and apoptosis in human oli-godendrocytes(MO3.13)and the underlying mecha-nism.Methods The optimal concentration of H2O2 and PCB2 for action was screened,and divided into normal group,PCB2 group(100 mg·L-1 PCB2 treat-ment for 24 hours),H2 O2 model group(500 μmol·L-1 H2O2 treatment for 24 hours),and H2O2+PCB2 group(500 μmol·L-1 H2O2 and 100 mg·L-1 PCB2 co-treated for 24 hours).FRAP method was used to detect the antioxidant capacity of PCB2;CCK-8 meth-od was used to detect the survival rate of cells in each group,while LDH method was used to assess cytotoxic-ity.Microenzyme-linked immunosorbent assay and ELISA were used to examine the levels of LDH,NO,H2O2,as well as the activities of CAT and SOD in each group of cells.Immunofluorescence and Western blot were used to detect the protein expression levels of NRF2,xCT,HO-1,ferritin,and GPX4 in each group of cells.FerroOrange fluorescent probe was used to de-tect the intracellular content of ferrous ions(Fe2+).Results H2O2 could induce MO3.13 oxidative dam-age and lead to cell ferroptosis,while PCB2 could alle-viate MO3.13 oxidative damage and ferroptosis.Com-pared with the H2O2 model group,PCB2 intervention could significantly increase LDH content in MO3.13,reduce NO and H2O2 content,and improve SOD and CAT activity,and up-regulate the protein expression levels of NRF2,xCT,HO-1,ferritin,and GPX4.Conclusion PCB2 can enhance cellular antioxidant capacity and alleviate H2O2 induced MO3.13 oxidative damage through the NRF2/HO-1/xCT/GPX4 axis.

Objective To investigate the differences of characteristic of bone marrow plasma cells in patients of different plasma cell dyscrasias according to International Myeloma Working Group(IMWG)criteria.Methods We analyzed the serological and bone marrow flow cytometry results of patients with plasma cell dyscrasias diagnosed and treated in Department of Hematology,Zhongshan Hospital(Xiamen Branch),Fudan University from Jun 12,2019 to Sep 5,2023 retrospectively.Results A total of 102 patients,63 males and 39 females,aged 22 to 85 years,were included,including 46 patients with monoclonal gammaglobulinemia of unknown significance,39 patients with multiple myeloma,5 patients with smoldering multiple myeloma and 12 patients with light-chain amyloidosis.All patients had M proteinemia,including 58 patients with IgG type and 44 patients with non-IgG type.Plasma cells were detected in the bone marrow of all patients.Clonal plasma cells were detected in the bone marrow of 79 patients.Normal plasma cells were detected in the bone marrow of 63 patients.Both clonal and normal plasma cells were detected in the bone marrow of 40 patients.Clonal plasma cells from bone marrow of 52 patients expressed CD56 and 12 patients expressed CD117.There were no significant differences in gender,age among different disease groups.There were statistical differences in M protein type,the concentration of M protein,serum involved/uninvolved free light chain ratio,the proportion of plasma cells in bone marrow nucleated cells,the proportion of clonal plasma cells in bone marrow nucleated cells,the proportion of clonal plasma cells in all bone marrow plasma cells,and the proportion of normal plasma cells in all bone marrow plasma cells among different disease groups(P<0.05).There was statistical difference in the expression of CD56 in clonal plasma cells among different disease groups(P=0.009),but no statistical difference in the expression of CD117.Conclusion The proportion of clonal plasma cells to all nucleated cells,the proportion of clonal plasma cells to all plasma cells,and the proportion of CD56 expression in abnormal plasma cells in the bone marrow of patients with light amyloidosis were similar to those of monoclonal gammopathy of undetermined significance,but significantly different from those of patients with multiple myeloma.

Objective To analyze the correlation between uric acid and coronary atherosclerotic heart disease in adults. Methods A total of 186 patients with hyperuricemia from January 2020 to October 2021 were selected as the observation group and 186 subjects with normal blood uric acid were selected as the control group . The levels of uric acid, hs-CRP, MCP-1, IL-6, RANTES and adropin protein were measured . The SYNTAX score was used to assess the risk of coronary heart disease and the incidence rate of coronary heart disease was recorded. The correlation between uric acid and inflammatory indexes was analyzed by linear regression model . The relationship between serum uric acid level and coronary atherosclerotic heart was tested by spearman correlation test. Results The levels of hs-CRP, MCP-1, IL-6, RANTES and adropin protein in the observation group were higher than the control group significantly (P<0.05) . The syntax score of the observation group was higher than the control group significantly (P<0.05) .The incidence rate of coronary heart disease in the observation group was significantly higher than that in the control group, and the difference was statistically significant (P<0.05). The level of uric acid was significantly positively correlated with hs-CRP, MCP-1, IL-6, RANTES and adropin . There was positive correlation between serum uric acid and syntax score and the incidence of coronary atherosclerotic heart disease (P<0.05). Conclusion The increase of uric acid level can predict coronary atherosclerotic heart disease. Patients with hyperuricemia should actively carry out uric acid lowering treatment to prevent the risk of coronary atherosclerotic heart disease.