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.

Lung cancer is the malignant tumor with the highest incidence and mortality rates globally. Current treatment methods for lung cancer primarily include surgery， chemotherapy， targeted therapy， and immunotherapy. However， the main limitations of these treatments are their side effects， the drug resistance， and the economic burden they impose. As a critical cancer pathway， the Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway regulates tumor occurrence and development through multiple mechanisms by influencing various downstream targets. Consequently， the JAK/STAT signaling pathway offers a promising avenue for lung cancer treatment research. Numerous studies have demonstrated that the JAK/STAT signaling pathway plays a key role in the proliferation and growth of lung cancer cells， angiogenesis， epithelial-mesenchymal transition （EMT）， metabolic alterations， remodeling of the immune microenvironment， and the development of treatment resistance. Traditional Chinese medicine （TCM） has garnered increasing attention due to its minimal side effects， low economic burden， and its potential to enhance efficacy and reduce toxicity when used in conjunction with Western medicine. In addition to traditional Chinese medicine compounds， a growing number of Chinese medicine monomers have come into the spotlight because of their more targeted effects. Numerous studies investigating the regulation of the JAK/STAT signaling pathway by TCM in the treatment of lung cancer have demonstrated that TCM can inhibit the proliferation and invasion of lung cancer cells， tumor angiogenesis， and EMT， improve the inflammatory and immunosuppressive microenvironments， and enhance treatment sensitivity by intervening in the JAK/STAT signaling pathway， thereby impeding the progression of lung cancer. In recent years， the research on the regulation of this pathway by TCM in the treatment of lung cancer has been updated rapidly. However， the summary of these studies has not been updated in time. This review summarizes and reflects on the recent research findings regarding the regulation of the JAK/STAT signaling pathway by TCM to intervene in lung cancer from three aspects， introducing the JAK/STAT pathway， elaborating the mechanism of this pathway in lung cancer， and exploring the intervention of TCM in the treatment of lung cancer through this pathway， to provide more reference for the treatment of lung cancer in the future.

Objective To investigate the effects of the physical parameters of radiotherapy and intestinal flora on the risk of secondary radiation enteritis(RE)in patients with abdominal malignant tumors.Methods Ninety-eight patients with malignant abdominal tumors who were treated with radiotherapy from April 2020 to August 2023 at Anyang District Hospital in Puyang City were selected and assigned to the RE group(n=26)or the non-RE group(n=72).The clinical data,physical parameters of radiotherapy,and changes in the intes-tinal flora were compared between the two groups.Pearson's correlation analysis was used to determine the correlation between the phy-sical parameters of radiotherapy and changes in the intestinal flora,and logistic analysis was used to analyze the relationship between the physical parameters of radiotherapy,changes in the intestinal flora,and risk of RE.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to analyze the physical parameters of radiotherapy and changes in intestinal flora in predicting risk of RE.Results The doses of V20,V40,and D2cc in the small intestine,D2cc in the rectum,and D2cc in the colon were higher in the RE group than in the non-RE group(P＜0.05).The α diversity Chao1 index,Shannon index,and Simpson index of the intestinal flora in the RE group were lower than in the non-RE group,at the third week of radiotherapy,and the decrease in the α diversity Chao1 index,Shannon index,and Simpson index of the intestinal flora in the RE group was greater than in the non-RE group,before and after radiotherapy(P＜0.05).The doses of V20,V40,and D2cc in the small intestine,D2cc in the rectum,and D2cc in the colon were posi-tively correlated with decreases in the α diversity Chao 1 index,Shannon index,and Simpson index of the intestinal flora,before and after radiotherapy(P＜0.05).The logistic analysis showed that the decrease in V20,V40,and D2cc in the small intestine,D2cc in the rectum,D2cc in the colon,α diversity Chao1 index,Shannon index,and Simpson index of the intestinal flora were independent risk factors for occurrence of RE(P＜0.05).The AUC of the physical parameters of radiotherapy and changes in intestinal flora combined to predict the risk of RE as 0.920,which was greater than that of each indicator alone.Conclusion The physical parameters of radiotherapy are closely related to the changes of intestinal flora in patients with malignant abdominal tumors,which,in combination,can increase the risk of RE,and have a high predictive value for the risk of RE.

For the past 30 years,percutaneous balloon mitral valve dilatation has been performed under the guidance of X-rays and bedside ultrasound.However,there are still some cases of mitral valve stenosis in the large atrium where balloon dilation failed.Intraperitoneal ultrasound-guided percutaneous balloon mitral valve plasty is accurate and feasible,which can reduce the occurrence of complications and improve the success rate of such elderly complex cases.Two patients with severe mitral stenosis underwent percutaneous balloon mitral valve plasty guided by intracardiac ultrasound.The operations were successful without any complications,which can provide reference for clinical treatment of mitral stenosis.

Cervical cancer is one of the most common gynecological malignant tumors,the five-year survival rate decreased significantly in the case of lymph node metastasis and distant metasta-sis,so the development of new anti-cervical cancer drugs is of great significance for the treatment of cervical cancer.Molecular docking technology is one of the most commonly used research methods in computer aided drug design,which is widely used in screening the effective components of drugs,finding the targets of drugs acting on tumors and exploring the mechanism of antineoplastic drugs.This paper reviews the molecular docking technology in the screening of anti-cervical cancer drugs,the determination of anti-tumor targets and the mechanism of anti-cervical cancer,in order to provide more sufficient theoretical basis for the screening of anti-cervical cancer drugs and new drug research and development.

Objective:To summarize the best evidence for the prevention and management of oral mucosal pressure injury (OMPI) in severe neurological patients with tracheal intubation.Methods:The clinical decisions, guidelines, expert consensus, evidence summary, systematic reviews, and clinical practice regarding the prevention and management of OMPI in severe neurological patients with tracheal intubation were searched in domestic and foreign databases, guideline websites, and professional association websites. The search period was from database establishment to May 30, 2023. Four researchers who undergone systematic evidence-based training conducted literature quality evaluation and evidence extraction.Results:A total of 15 articles were included, including three evidence summaries, three systematic reviews, two guidelines, three clinical practices, three expert consensus, and one clinical decision. A total of 27 pieces of best evidence were summarized from six aspects of risk assessment, oral mucosal assessment, oral nursing, tracheal intubation management, nutritional support, and organizational training.Conclusions:The best evidence for the prevention and management of OMPI in severe neurological patients with tracheal intubation summarized provides evidence-based evidence for medical and nursing staff to prevent and manage OMPI in severe neurological patients with tracheal intubation.

Sialic acid-binding immunoglobulin-like lectins(Siglecs)are expressed on most white blood cells and play a key role in signal transduction of immune cells.Recent studies have shown that many bacterial pathogens regulate the host immune response through the interaction between sialic acid(Sia)and Siglecs,thereby influencing the occurrence and development of diseases.Understanding bacterial pathogenic mechanisms is essential to identify potential effective therapeutic targets and help manage bacterial infectious diseases.Herein,the structure,biological function,and research progress in Siglecs in bacterial in-fectious diseases are briefly reviewed.

Brucellosis is one of the most significant infectious diseases affecting both humans and animals.It poses a consid-erable risk to human health and the advancement of animal husbandry.Vaccination has emerged as a highly effective strategy for preventing and controlling brucellosis infection.Currently,numerous live attenuated vaccines for animals are available on the market.Despite the lack of a vaccine for human use,research in the fields of genetic engineering and molecular bioinformat-ics has led to the development of a number of subunit vaccines,including DNA vaccines,multi-epitope vaccines,recombinant protein vaccines,and vector vaccines.Vaccine adjuvants have been developed to address the varying requirements of different immune responses.This paper will review the research progress of brucellosis vaccines and introduce the commonly used vac-cine adjuvants,with a view to providing new ideas for the development of subsequent vaccines.

In order to investigate the regulatory effect of Codonopsis saponins on the immunosup-pression caused by H9N2 subtype avian influenza virus(AIV)infection,rat pulmonary microvas-cular endothelial cells(RPMECs)were incubated with different concentrations of Codonopsis sap-onins(5,10 and 20 mg/L).The expression level of PD-L1 was detected by RT-PCR and flow cy-tometry,and the contents of TNF-α,IFN-y and IL-10 in supernatant were detected by ELISA kit.The titer of H9N2 AIV in supernatant was detected by plaque method.Then,a co-culture system of RPMECs and T cells was established using a Transwell plate with an aperture of 8 μm to mimic the migration of circulating T cells across microvessels to the site of viral infection.RPMECs were cultured in the upper chamber of Transwell,inoculated with H9N2 AIV,supplemented with 20 mg/L Codonopsis saponins 1 h later,and T cells 36 h later.After 8 h of treatment,T cells in the lower compartment were collected and the proportions of CD4+T cells and CD8+T cells were detected by flow cytometry,the expression levels of IL-2,IFN-y and granzyme B in the superna-tant were detected by ELISA,and the proportions of perforin-1 positive T cells were detected by flow cytometry.The proliferation activity of T cells was detected with the MTT cell proliferation and cytotoxicity assay kit,and the percentage of apoptotic cells was detected by flow cytometry af-ter staining of T cells with Annexin V-FITC/PI.The experimental results showed that Codonopsis saponins could significantly reduce the expression level of PD-L1,IL-10 and TNF-α in RPMECs in-duced by H9N2 AIV infection,and reduce the apoptosis rate of T cells.However,the expression levels of IL-2,IFN-y,perforin-1 and granzyme B in transendothelial migration T cells and the pro-liferation activity of T cells were significantly increased.In this study,Codonopsis saponins can sig-nificantly inhibit the expression of H9N2 AIV-induced PD-L1 in RPMECs,enhance the antiviral function of T cells migrating across the endothelial layer,and enhance the resistance of host to H9N2 AIV.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.