BACKGROUND:Human periodontal stem cells have a certain inhibitory effect on the pro-inflammatory function of M1-type macrophages,and it is not clear whether icariin,which has anti-inflammatory and other pharmacological activities,can enhance the inhibitory effect of human periodontal stem cells on M1-type macrophages. OBJECTIVE:To investigate the effect of icariin on M1 macrophages after pretreatment of human periodontal stem cells. METHODS:Primary human periodontal stem cells were isolated,cultured and characterized.THP-1 was induced and M1-type macrophages were identified by immunofluorescence staining and PCR.Human periodontal stem cells were cultured with α-MEM complete medium containing concentrations of 10-7,10-6,10-5,and 10-4 mol/L icariin,and the cytotoxicity of Icariin on human periodontal stem cells was detected by the CCK-8 assay at 1,3,5,and 7 days,respectively.α-MEM complete medium,untreated α-MEM conditioned medium for human periodontal stem cells and α-MEM conditioned medium for human periodontal stem cells pretreated with icariin for 24 hours were conditioned with RPMI-1640 complete medium in a 1:1 ratio for M1-type macrophages in the control,untreated,and pretreated groups,and 24 hours later,the mRNA expression of inflammatory factors in M1 macrophages was detected by RT-PCR.The protein expression of inflammatory factors in M1 macrophages was detected by ELISA.The expression of surface markers and nuclear factor-κB pathway-related proteins in M1/M2 macrophages was detected by western blot assay. RESULTS AND CONCLUSION:(1)CCK-8 assay results showed that 10-7,10-6,10-5,10-4 mol/L icariin was not cytotoxic to the human periodontal stem cells,and from day 5 onwards,all the concentrations increased the cell viability,and promoted the cell proliferation.10-4 mol/L icariin was selected for follow-up experiment.(2)RT-PCR and ELISA results showed that compared with the control group,the untreated group and the pretreated group both decreased the expression and secretion of interleukin-1β,interleukin-6,and tumor necrosis factor-α of M1-type macrophages(P<0.05),and the pretreated group was lower than the untreated group(P<0.05).(3)Western blot assay results showed that compared with the untreated group,the expression of CD86 was significantly lower in the pretreated group(P<0.05);compared with the control group,the expression of CD206,a surface marker of M2-type macrophages,was elevated in both the untreated and pretreated groups(P<0.01),and it was significantly higher in the pretreated group than in the untreated group(P<0.01).In M1-type macrophages after 24 hours of conditioned culture,compared with the control group,the expression of nuclear factor-κB/P65 was decreased in the untreated group and the pretreated group(P<0.01),and the expression of p-IκBα was decreased only in the pretreated group(P<0.01);the expression of both nuclear factor-κB/P65 and p-IκBα was significantly reduced in the pretreated group compared with the untreated group(P<0.05),while the difference of IκBα in the three groups was not statistically significant.(4)These results indicated that icariin enhanced the inhibitory effect of human periodontal stem cells on M1-type macrophages,and this effect may be related to the inhibition of the nuclear factor-κB signaling pathway of macrophages.

ObjectiveTo analyze the epidemiological characteristics and trends of hand-foot-mouth disease (HFMD) in Hangzhou, so as to provide an evidence for developing effective prevention and control measures and evaluating the control effects. MethodsThe incidence data of HFMD in Hangzhou were collected from the Infectious Disease Reporting Information Management System of China Information System for Disease Control and Prevention. Descriptive epidemiology was applied to analyze the temporal, spatial and demographic distribution characteristics and etiology monitoring results of HFMD cases in Hangzhou from 2010 to 2023. Joinpoint regression model was used to analyze the trends of incidence rate of HFMD. Furthermore, circular distribution method was utilized to calculate the incidence peak of HFMD. ResultsFrom 2010 to 2023, the average annual reported incidence rate of HFMD in Hangzhou was 138.85/100 000, the proportion of severe cases was 0.04%, the mortality rate was 0.01/100 000, and the case fatality rate was 5.30/100 000. Both the total incidence rate and the incidence rate by sex showed an increasing trend. The annual reported incidence rate in males (158.72/100 000) was higher than that in females (117.61/100 000). The reported incidence rate showed a significant seasonal characteristic, with summer being the peak of epidemic. The results of surveillance samples suggested that the prevalence of HFMD in Hangzhou is characterized by the co-existence of multiple pathogens, with EV-A71 and CV-A16 being the dominant pathogens in the previous years and CV-A6 being the dominant pathogen since 2018. The proportion of EV-A71 in severe cases (77.19%) was higher than that in ordinary cases (15.37%), in addition, its proportion in ordinary cases, severe cases, and fatal cases all showed a decreasing trend. ConclusionThe incidence rate of HFMD in Hangzhou is still high, so it’s still necessary to continue to strengthen the prevention and control measures for key populations. In recent years, CV-A6 has been the main prevalent pathogen in Hangzhou. Further efforts in pathogen detection and analysis should be enhanced in the future.

Objective To analyze the clinical characteristics of patients with gastrointestinal bleeding after renal transplantation and summarize the diagnostic and therapeutic experience. Methods Clinical data of 16 patients with gastrointestinal bleeding after renal transplantation admitted to the Third Affiliated Hospital of Sun Yat-sen University from January 2015 to January 2025 were collected, including clinical manifestations, laboratory tests and auxiliary examination results such as gastroscopy and colonoscopy. The bleeding sites, causes, treatment plans and outcomes of the patients were analyzed, and relevant literature was reviewed. Results Among the 16 patients with gastrointestinal bleeding, 12 had upper gastrointestinal bleeding (3 with esophageal bleeding, 7 with gastric bleeding and 2 with duodenal bleeding) and 4 had lower gastrointestinal bleeding (2 with ileal bleeding and 2 with anal bleeding). Among the 16 patients, the 4 with lower gastrointestinal bleeding all presented with hematochezia. Of the 12 with upper gastrointestinal bleeding, 2 patients only had positive fecal occult blood and decreased hemoglobin levels without hematemesis or melena, 9 patients had melena and 1 patient had hematemesis. The hemoglobin levels of the 16 patients were (71±18) g/L. One patient had symptoms of shock, 9 had symptoms of anemia such as dizziness, fatigue and chest tightness, and 6 had good general conditions. Among the 16 patients, 10 had mild gastrointestinal bleeding and stable general conditions, which were curable by drugs. Two patients with peptic ulcers and exposed vessels on gastroscopy were treated with hemostasis by titanium clips. One patient with gastroesophageal tear was treated with hemostasis by titanium clips. One patient with esophageal variceal rupture bleeding was treated with endoscopic variceal ligation. One patient with hemorrhoidal bleeding underwent selective annual resection of the superior hemorrhoidal mucosa with stapled hemorrhoidopexy. One patient with active ileal bleeding on emergency enhanced abdominal CT was treated with endovascular embolization of the mesenteric artery. One patient was discharged automatically due to coma caused by extensive cerebral infarction, and the remaining patients were all cured and discharged with good prognosis. Conclusions Gastrointestinal bleeding after renal transplantation has diverse clinical manifestations, varying severity and many causes. Early diagnosis and treatment should be actively carried out. In addition to drug therapy, endoscopic, interventional or surgical treatment may be used when necessary to improve the diagnostic and therapeutic effects and minimize the functional damage of gastrointestinal bleeding to the transplant kidney.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective To investigate the effects of Echinococcus multilocularis infection on levels of memory T (Tm) cells and their subsets in lymph nodes of mice at different stages of infection, so as to provide new insights into immunotherapy for alveolarechinococcosis. MethodsTwenty-four C57BL/6J mice aged 6 to 9 weeks were randomly divided into the infection group and the control group, of 12 mice in each group. Mice in the infection group were administered with 3 000 E. multilocularis protoscoleces via portal venous injection, while animals in the control group were administered with an equal volume of physiological saline. Three mice from each group were sacrificed 4, 12 weeks and 24 weeks post-infection, and lymph nodes were sampled and stained with hematoxylin and eosin (HE) to investigate the histopathological changes of mouse lymph nodes in the infection group. The expression and localization of T lymphocyte surface markers CD3, CD4, and CD8 were observed in mouse lymph nodes using immunohistochemical staining. In addition, lymphocyte suspensions were prepared from mouse lymph nodes in both groups at different time points post-infection, and the levels of Tm cell subsets and their secreted cytokines were detected using flow cytometry. Results HE staining showed diffuse structural alterations in the subcapsular cortical and paracortical regions of mouse lymph nodes in the infection group 4 weeks post-infection with E. multilocularis. Immunohistochemical staining detected CD3, CD4 and CD8 expression in mouse lymph nodes in both groups. Flow cytometry revealed higher proportions of CD4⁺ Tm cells [(55.3 ± 4.8)% vs. (38.8 ± 6.1)%; t = -4.259, P < 0.05] and CD4⁺ tissue-resident Tm (Trm) cells [(57.7 ± 3.7)% vs. (34.1 ± 11.2)%; t = -3.990, P < 0.05] in mouse lymph nodes in the infection group than in the control group 4 weeks post-infection, and higher proportions of CD4⁺ Tm cells [(34.6 ± 3.2)% vs. (23.3 ± 7.5)%; t = -2.764, P < 0.05] and CD4⁺ Trm cells [(44.0 ± 1.9)% vs. (31.2 ± 1.5)%; t = -4.039, P < 0.05] in mouse lymph nodes in the infection group than in the control group 24 weeks post-infection. The proportions of CD8⁺ Tm cells were higher in the infection group than in the control group 4 weeks [(56.8 ± 2.7)% vs. (43.9 ± 5.2)%; t = -4.416, P < 0.01] and 12 weeks post-infection [(25.4 ± 2.7)% vs. (12.0 ± 2.6)%; t = -2.552, P < 0.05], while the proportions of tumor necrosis factor (TNF)-α⁺ CD4⁺ T cells [(15.7 ± 5.0)% vs. (49.4 ± 6.4)%; t = 7.150, P < 0.01], TNF-α⁺CD8⁺ T cells [(20.7 ± 5.5)% vs. (57.5 ± 8.4)%; t = -6.694, P < 0.01], and TNF-α⁺ CD8⁺ Tm cells [7.0% (1.0%) vs. 31.0% (11.0%); Z = -2.236, P < 0.05] were lower in the infection group than in the control group 24 weeks post-infection. Conclusions Tm cells levels are consistently increased in lymph nodes of mice at different stages of E. multilocularis infection, with Trm cells as the predominantly elevated subset. The impaired capacity of CD8⁺ Tm cells to secrete the effector molecule TNF-α in mouse lymph nodes at the late-stage infection may facilitate chronic parasitism of E. multilocularis.

Tick-borne encephalitis is a central nervous system disease caused by infections with tick-borne pathogens, which is characterized by severe clinical symptoms, multiple sequelae, and a high fatality rate. Currently, there is no cure for tick-borne encephalitis. Tick-borne encephalitis virus (TBEV) is the most common pathogen of tick-borne encephalitis. Therefore, rapid and accurate detection of TBEV contributes to reducing the mortality of tick-borne encephalitis, improving patients' prognosis, and reducing the risk of TBEV transmission. The currently available serological tests for detection of TBEV infections mainly include neutralization test, enzyme-linked immunosorbent assay (ELISA), immunofluorescence assay, and nucleic acid tests mainly include polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), reverse transcription polymerase spiral reaction, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas)-based assays. This review summarizes the progress of researches on serological and nucleic acid tests for detection of TBEV infections, so as to provide insights into prevention and control of tick-borne encephalitis.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.