In order to explore the possible role and molecular mechanism of the combined action of leech and bear bile in liver and gallbladder diseases, this study first used network pharmacology methods to screen the components and targets of leech and bear bile, as well as the related target genes of liver and gallbladder diseases. The selected key genes were subjected to interaction network and GO/KEGG enrichment analysis. Then, using sodium oleate induced HepG2 cell lipid deposition model and DL-ethionine induced mouse fatty liver model, the activity of leech and bear bile alone and in combination in reducing liver fat was evaluated in vitro and in vivo, and the expression of key pathway related proteins suggested by network pharmacology was detected by Western blot. The results of network pharmacology analysis showed that the active ingredients of leech and bear bile have 295 intersecting targets with liver and gallbladder related diseases, involving more than 200 signaling pathways, including the PI3K/Akt signaling pathway and phospholipase D signaling pathway closely related to glucose and lipid metabolism. The results of in vitro validation experiments showed that both leech and bear bile, alone and in combination, can significantly inhibit the lipid deposition induced by sodium oleate in human liver cells, reduce the triacylglycerol level in cell culture supernatant, and inhibit the lipid content in liver cells. The observation results of Nile red staining confocal microscopy showed that the combination of leech and bear bile had better activity in reducing lipid deposition in liver cells compared to using them alone. In a mouse fatty liver model, the combination of leech and bear bile can better reduce elevated organ indices, blood lipids, and liver lipid levels, as well as lower the levels of serum liver injury biomarkers. The animals used in this experiment and related disposal meet the requirements of animal welfare. Before the experiment, it was reviewed and approved by IACUC, Institute of Materia Medica, Chinese Academy of Medical Sciences. The Western blot experiment results showed that the combination of leech and bear bile can significantly upregulate the expression levels of p-PI3K and p-Akt proteins, and increase the p-PI3K/PI3K and p-Akt/Akt ratios, which is consistent with the predicted results of network pharmacology. The combination of leech and bear bile has great potential for treating fatty liver disease, and activating the PI3K/Akt pathway may be one of the important mechanisms for reducing lipid deposition in liver cells.

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 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.

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 investigate the incidence of anemia and evaluate the immune status among newly reported HIV/AIDS patients in Jiangsu Province in 2021, and to identify the risk factors of anemia among patients living with HIV infections. Methods Newly reported HIV/AIDS patients in Jiangsu Province from January 1 to December 31, 2021 that were registered in China’s National AIDS Comprehensive Control Information Management System were enrolled. Subjects’ fresh whole blood samples were collected, and hemoglobin levels, CD4 and CD8 cell counts and HIV viral loads were measured. Anemia was defined according to hemoglobin levels, and the immunological parameters and HIV viral loads were compared between HIV-infected patients with and without anemia. The risk factors of anemia were identified among individuals living with HIV infections using univariate analysis and multivariate logistic regression analysis. In addition, subjects’ CD4 cell counts one year following antiretroviral therapy (ART) were retrieved from China’s National AIDS Comprehensive Control Information Management System, and compared between subjects with and without anemia. Results A total of 635 newly diagnosed HIV/AIDS patients were reported in Jiangsu Province in 2021, including 544 males (85.67%) and 91 females (14.33%), and with ages of 15 to 83 years, and the overall incidence of anemia was 5.51% (35/635) among the study subjects. Men, individuals at ages of 45 years and lower and workers had relatively higher hemoglobin levels, with median hemoglobin levels of 156 (interquartile range, 22), 154 (interquartile range, 23) g/L and 162 (interquartile range, 19) g/L, respectively. The median baseline HIV viral load was 40 500.00 (interquartile range, 119 735.00) copies/mL among HIV-infected individuals with anemia and 29 754.00 (69 183.00) copies/mL among those without anemia (Z = -0.91, P = 0.31), and the median baseline CD4 and CD8 cell counts were significantly lower among HIV-infected individuals with anemia [166 (interquartile range, 143) cells/μL and 755 (653) cells/μL] than those without anemia [308 (253) cells/μL and 892 (638) cells/μL] (Z = -4.36 and -2.37, both P values < 0.05). The median CD4 cell counts remained lower among HIV-infected individuals with anemia than those without anemia [296 (interquartile range, 229) cells/μL vs. 457 (interquartile range, 313) cells/μL; Z = -3.71, P < 0.05] one year following ART, and the proportions of moderate and severe immunosuppression were significantly higher among HIV-infected individuals with anemia (40.00% and 17.14%) than those without anemia (21.00% and 9.33%) (χ² = 10.37 and 8.79, both P values < 0.01). Univariate analysis showed a higher detection rate of anemia among female HIV-infected individuals than among males [odds ratio (OR) = 4.528, 95% confidence interval (CI): (3.811, 5.245), P < 0.001], a higher rate among HIV-infected individuals at ages of 45 to < 60 years [OR = 3.415, 95% CI: (1.191, 9.788), P = 0.022] and 60 years and older [OR = 5.820, 95% CI: (2.013, 16.826), P < 0.001] than among those at ages of 15 to < 30 years, a higher rate among HIV-infected individuals through heterosexual transmission than among those through homogeneous transmission [OR = 3.015, 95% CI: (1.423, 6.387), P = 0.004], a lower rate among HIV-infected individuals with an educational level of college and above than among those with an educational level of primary school [OR = 0.103, 95% CI: (0.028, 0.386), P < 0.001], a higher rate among HIV-infected individuals with baseline CD4 cell counts of < 200 cells/μL than among those with baseline CD4 cell counts of 200 cells/μL and higher [OR = 4.340, 95% CI: (2.165, 8.702), P < 0.001], and lower detection rates among HIV-infected individuals with CD4/CD8 cell ratios of 0.208 to < 0.326 [OR = 0.232, 95% CI: (0.076, 0.711), P = 0.011] and 0.516 and higher [OR = 0.292, 95% CI: (0.104, 0.818), P = 0.019] than among those with CD4/CD8 cell ratios of < 0.208. Multivariate logistic regression analysis identified woman [OR = 4.945, 95% CI: (3.944, 5.946), P = 0.002], and CD4 cell counts of < 200 cells/μL [OR = 3.597, 95% CI: (1.448, 8.937), P = 0.006] as risk factors of anemia among newly reported HIV/AIDS patients. Conclusions The incidence of anemia was low among newly reported HIV/AIDS patients in Jiangsu Province in 2021, and the immune status was poorer among HIV-infected individuals with anemia than those without anemia at baseline and one year following ART. Female and CD4 cell counts of < 200 cells/μL are risk factors of anemia among individuals living with HIV infections, and intensified surveillance, follow-up and precision interventions are recommended targeting female HIV-infected individuals and HIV-infected individuals with low CD4 cell counts.

Objective To explore the effect of long non-coding RNA(lncRNA)microRNA 17-92 cluster host gene(MIR17HG)regulating microRNA(miR)-214-3p/ring finger protein 38(RNF38)signal axis on the malignant biological behavior of liver cancer cells.Methods The cancer tissues and adjacent tissues of 46 patients with liver cancer who underwent surgical resection in our hospital from May 2022 to October 2023 were collected to detect the expression of lncRNA MIR17HG,miR-214-3p and RNF38.HepG2,Bel-7402,SMMC-7721 and HL-7702 cells were cultured in vitro,and the expression of lncRNA MIR17HG,miR-214-3p and RNF38 was compared,Bel-7402 cells were selected for further study,and randomly divided into sh-NC group,sh-MIR17HG group,anti-NC group,anti-miR-214-3p group and Bel-7402 group.The proliferation,apoptosis,invasion and migration of Bel-7402 cells in each group were investigated,the expression of RNF38,caspase-3(caspase-3),B cell lymphoma-2(Bcl-2),matrix metalloproteinase-2(MMP2)and matrix metalloproteinase-9(MMP9)protein was analyzed by western blotting,the relationship between lncRNA MIR17HG and miR-214-3p and the relationship between miR-214-3p and RNF38 were verified by double luciferase.Results The mRNA expression of lncRNA MIR17HG and RNF38 in liver cancer tissues was higher,the mRNA expression of miR-214-3p was lower,and the positive expression rate of RNF38 protein was higher(P＜0.05).The expression of lncRNA MIR17HG mRNA,RNF38 mRNA and RNF38 protein in SMMC-7721,HepG2 and Bel-7402 cells was higher than that in HL-7702 cells,and the expression of miR-214-3p mRNA was lower than that in HL-7702 cells(P＜0.05).Compared with Bel-7402 group and sh-NC group,the OD450nm value,the number of cloned cells,the number of invasive cells,the number of migrated cells and the expression of RNF38,MMP2,Bcl-2 and MMP9 in sh-MIR17HG group decreased,while the apoptosis rate and the expression of caspase-3 increased(P＜0.05).Compared with sh-MIR17HG group and anti-NC group,the OD450nm value,the number of cloned cells,the number of invasive cells,the number of migrated cells and the expression of RNF38,MMP2,Bcl-2 and MMP9 in anti-miR-214-3p group increased,while the apoptosis rate and the expression of caspase-3 decreased(P＜0.05).LncRNA MIR17HG and miR-214-3p,and miR-214-3p and RNF38 have targeted relationships respectively.The luciferase activity in miR-214-3p+WT-MIR17HG group was lower than that in miR-NC+WT-MIR17HG group(P＜0.05),and the luciferase activity in miR-214-3p+WT-RNF38 group was lower than that in miR-NC+WT-RNF38 group(P＜0.05).Conclusion LncRNA MIR17HG may promote the malignant biological behavior of liver cancer cells by regulating the miR-214-3p/RNF38 axis.

Irreducible anteromedial radial head dislocation (IARHD) caused by transposed biceps tendon is rare. Delayed diagnosis and surgical failure often occur. A 46-year-old fisherman presented with 10 days history of painful swelling and restricted movement of his right elbow due to strangulation injury by a fishing boat cable. On examination, the images of the right elbow reveals in a "semi-extended and pronated" elastic fixation position. Radiography and 3-dimensional reconstruction CT reveals an isolated anteromedial radial head dislocation with extreme protonation of the radius and the bicipital tuberosity towards the posterior aspect of the elbow joint, and MRI shows biceps tendon wrapping around the radial neck, similar to umbilical cord wrapping seen in newborns. The Henry approach was applied for the first time to reduce the biceps tendon. The patient achieved a good functional recovery at 26 months, which represents the first reported case of IARHD without fracture caused by biceps tendon in an adult. In treatment of IARHD, attention should be paid to the phenomenon of biceps tendon transposition. Careful clinical examination, comprehensive imaging modalities, and appropriate surgical approach are the keys to successful management.