ObjectiveTo explore the effectiveness of health information dissemination and its influencing factors using the "Shanghai CDC" WeChat public account as a case study, providing references for public health institutions to optimize the use of official new media platforms for effective publicity. MethodsA total of 1 030 headline articles published on the "Shanghai CDC" WeChat public account between 2016 and 2019 were analyzed using content analysis and non-parametric tests to examine the impact of factors such as titles and content categories. ResultsFrom 2016 to 2019, the number of WeChat public account followers increased by 280 000, with the articles accumulating over 8.8 million views. The median (P₂₅, P₇₅) open rate of articles was 5.90% (3.69%, 10.31%), and the median (P₂₅, P₇₅) sharing and forwarding rate was 6.60% (4.25%, 9.17%). Factors such as the use of first- and second-person pronouns, degree adverbs, negative adverbs, explicit viewpoints, and title length all significantly affected the open rate of articles, with OR (95%CI) values of 0.175 (0.041‒0.756), 32.606 (2.350‒452.432), 4.079 (1.093‒15.230), 0.106 (0.028‒0.409), and 1.184 (1.063‒1.319),respectively (all P<0.05). In terms of content, statistical significant differences in dissemination effectiveness were observed across article categories and themes (P<0.05). In terms of article categories, articles related to news hotspots and service information had higher open rates of 9.58% and 14.00%, respectively. These two types of articles also obtained higher sharing and forwarding rates of 7.65% and 9.16%, respectively. In terms of article topics, compared with healthy life and health products, among the top four topics in terms of publication volume, the open rates of articles about infectious diseases and disease-causing biology and immunization programs were higher, accounting for 7.88% and 6.88%, respectively, with no significant difference in sharing and forwarding rates. ConclusionThe "Shanghai CDC" WeChat public account demonstrated good dissemination effectiveness. Enhancing article titles by increasing informational content and degree adverbs (e.g., "highly," "most," and "extremely") and negative adverbs (e.g., "no") can improve dissemination reach. Public health WeChat accounts should incorporate news hotspots or service information in their articles. While maintaining their strengths in disseminating knowledge on infectious diseases and immunization programs, they should also enhance public education in other professional fields within their scope of responsibility to improve the overall dissemination impact of health information.

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.

ObjectiveTo explore the regulation of Shaoyaotang on glucose metabolism reprogramming of macrophages and the mechanism of this decoction in inhibiting macrophage polarization toward the M1 phenotype. MethodsHuman monocytic leukemia-1 （THP-1） cells were treated with 100 ng·L^-1 phorbol myristate acetate for induction of macrophages as the normal control group. The cells treated with 100 ng·L^-1 lipopolysaccharide combined with 20 ng·L^-1 interferon （IFN）-γ for induction of M1-type macrophages were taken as the M1 model group. M1-type macrophages were treated with the blank serum， Shaoyaotang-containing serum， 0.5 mol·L^-1 2-deoxy-D-glucose （2-DG）， and Shaoyaotang-containing serum + 2-DG， respectively. After intervention， the expression of CD86 and CD206 was examined by flow cytometry. The levels of interleukin （IL）-6， tumor necrosis factor （TNF）-α， IL-10， and transforming growth factor （TGF）-β were assessed by ELISA. Real-time PCR and Western blot were employed to determine the mRNA and protein levels， respectively， of hypoxia-inducible factor-1 alpha （HIF-1α）， glucose transporter 1 （GLUT1）， hexokinase 2 （HK2）， glyceraldehyde-3-phosphate dehydrogenase （GAPDH）， and 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）. ResultsCompared with that in the normal control group， the expression of CD86， the marker of M1-type macrophages， increased in the M1 model group and blank serum group （P<0.01）， which indicated that the M1 inflammatory model was established successfully. In addition， the M1 model group was observed with up-regulated mRNA and protein levels of proinflammatory cytokines IL-6 and TNF-α and glycolysis-related factors HIF-1α， GLUT1， HK2， GAPDH， and PFKFB3 （P<0.01）. Compared with the M1 model group， the Shaoyaotang-containing serum， 2-DG， and combined intervention groups showed decreased expression of CD86 （P<0.01）， down-regulated mRNA and protein levels of proinflammatory factors IL-6 and TNF-α and glycolysis-related factors HIF-1α， GLUT1， HK2， GAPDH， and PFKFB3 produced by M1-type macrophages （P<0.01）， increased expression of CD206 （marker of M2-type macrophages） （P<0.01）， and elevated levels of IL-10 and TGF-β produced by M2-type macrophages （P<0.01）. ConclusionShaoyaotang inhibits macrophage differentiation toward pro-inflammatory M1-type macrophages and promotes the differentiation toward anti-inflammatory M2-type macrophages by regulating glucose metabolism reprogramming. The evidence gives insights into new molecular mechanisms and targets for the treatment of ulcerative colitis with Shaoyaotang.

ObjectiveTo explore the regulation of Shaoyaotang on glucose metabolism reprogramming of macrophages and the mechanism of this decoction in inhibiting macrophage polarization toward the M1 phenotype. MethodsHuman monocytic leukemia-1 （THP-1） cells were treated with 100 ng·L^-1 phorbol myristate acetate for induction of macrophages as the normal control group. The cells treated with 100 ng·L^-1 lipopolysaccharide combined with 20 ng·L^-1 interferon （IFN）-γ for induction of M1-type macrophages were taken as the M1 model group. M1-type macrophages were treated with the blank serum， Shaoyaotang-containing serum， 0.5 mol·L^-1 2-deoxy-D-glucose （2-DG）， and Shaoyaotang-containing serum + 2-DG， respectively. After intervention， the expression of CD86 and CD206 was examined by flow cytometry. The levels of interleukin （IL）-6， tumor necrosis factor （TNF）-α， IL-10， and transforming growth factor （TGF）-β were assessed by ELISA. Real-time PCR and Western blot were employed to determine the mRNA and protein levels， respectively， of hypoxia-inducible factor-1 alpha （HIF-1α）， glucose transporter 1 （GLUT1）， hexokinase 2 （HK2）， glyceraldehyde-3-phosphate dehydrogenase （GAPDH）， and 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）. ResultsCompared with that in the normal control group， the expression of CD86， the marker of M1-type macrophages， increased in the M1 model group and blank serum group （P<0.01）， which indicated that the M1 inflammatory model was established successfully. In addition， the M1 model group was observed with up-regulated mRNA and protein levels of proinflammatory cytokines IL-6 and TNF-α and glycolysis-related factors HIF-1α， GLUT1， HK2， GAPDH， and PFKFB3 （P<0.01）. Compared with the M1 model group， the Shaoyaotang-containing serum， 2-DG， and combined intervention groups showed decreased expression of CD86 （P<0.01）， down-regulated mRNA and protein levels of proinflammatory factors IL-6 and TNF-α and glycolysis-related factors HIF-1α， GLUT1， HK2， GAPDH， and PFKFB3 produced by M1-type macrophages （P<0.01）， increased expression of CD206 （marker of M2-type macrophages） （P<0.01）， and elevated levels of IL-10 and TGF-β produced by M2-type macrophages （P<0.01）. ConclusionShaoyaotang inhibits macrophage differentiation toward pro-inflammatory M1-type macrophages and promotes the differentiation toward anti-inflammatory M2-type macrophages by regulating glucose metabolism reprogramming. The evidence gives insights into new molecular mechanisms and targets for the treatment of ulcerative colitis with Shaoyaotang.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

On-site supervision is a risk-based regulatory system that requires the scientific development of supervision plans for quality risks and hidden dangers in pharmaceutical enterprises， the rational allocation of supervision resources based on their risk levels， and the implementation of classified supervision measures. In this study， the quality risk monitoring business support system is set up for pharmaceutical enterprises by establishing the quality risk expert database and quality risk monitoring index system for pharmaceutical enterprises based on the difficulty analysis of on-site drug supervision. Based on this support system， the quality risk classification method， the differentiated spot check strategy and business auxiliary visualization system are established. This support system is used to learn the risk level of pharmaceutical enterprises， so as to innovate supervision methods and optimize monitoring strategies. Taking Jiangxi Province as an example， it is verified that the support system can guide the risk assessment of sample enterprises， can improve the targeting of on-site drug supervision in the process of technical review， scheme editing， on-site implementation and comprehensive evaluation， and can effectively improve the quality and efficiency of supervision.

Objective To observe the effects of pegylated losenatide injection combined with metformin tablets on serum metabolism,lipid levels and intestinal flora in obese type 2 diabetes mellitus(T2DM)patients after axial gastrectomy.Methods Obese T2DM patients who underwent axial gastrectomy were divided into treatment group and control group by cohort methods.The control group was treated with metformin hydrochloride tablet 0.5 g orally,tid.The treatment group was treated by subcutaneous injection of pegylated losenatide injection 0.2 mg once a week on the basis of control group.Both groups were treated continuously for 3 months.Body mass index(BMI),serum metabolic indexes,blood lipid levels,blood glucose levels,intestinal flora and adverse drug reactions were compared between the two groups.Results In this study,a total of 70 subjects were included in the treatment group,and 50 subjects were included in the control group.After three months of treatment,the BMI indices of the treatment and control groups were(26.35±2.36)and(29.34±3.59)kg·m-2,respectively;the glutathione peroxidase levels were(192.42±13.18)and(134.27±12.86)U;interleukin-6 levels were(6.14±1.78)and(7.65±2.09)μg·L-1;fasting blood glucose levels were(5.36±0.41)and(7.43±0.78)mmol·L-1;total cholesterol levels were(2.55±0.67)and(3.47±0.79)mmol·L-1 for the treatment and control groups,respectively.The levels of Bifidobacteria,Bacteroides,Lactobacilli,Enterobacteria,and Enterococci in the treatment group were(8.79±1.36),(9.62±1.37),(6.74±2.15),(7.98±0.61),and(7.23±1.29)logN·g-1,respectively;in the control group,these levels were(7.98±1.79),(8.13±1.45),(5.71±2.41),(9.21±0.88),and(8.15±1.54)logN·g-1.The differences in the above indicators between the treatment and control groups were statistically significant(all P＜0.05).The main adverse drug reactions in the treatment group included nausea,headache,dizziness,elevated blood pressure,and indigestion.In the control group,the main adverse drug reactions were nausea,headache,and indigestion.The total incidence of adverse drug reactions in the treatment and control groups was 8.57％and 6.00％,respectively,with no statistically significant difference(P＞0.05).Conclusion Pegylated losenatide injection combined with metformin tablets has a significant effect on axial gastrectomy in obese type 2 diabetes patients.

Objective To investigate the protective effect of dandelion flavone(DF)on lipopolysaccharide(LPS)-induced colon epithelial cell injury by intervening oxidative stress and inflammation with AT-specific binding protein 2(SATB2).Methods Colon epithelial cells FHC were cultured.FHC cells were randomly divided into control group(normal cultured),LPS group(10 μg·mL-1 LPS),experimental-L group(10 μg·mL-1 LPS+1 μmol·L-1 DF),experimental-H group(10 μg·mL-1 LPS+5 μmol·L-1 DF),experimental-H+sh-NC group(transfected with sh-NC+10 μg·mL-1 LPS+5 μmol·mL-1 DF),experimental-H+sh-SATB2 group(transfected with sh-SATB2+10 μg·mL-1 LPS+5μmol·L-1 DF).The relative expression level of SATB2 protein in FHC cells was detected by Western blotting.The survival rate of FHC cells in each group was determined by tetramethylazolium blue(MTT).The apoptosis rate of FHC cells in each group was detected by flow cytometry.The levels of malondialdehyde(MDA)and interleukin-6(IL-6)in FHC cells were detected by the kit.Results The relative expression levels of SATB2 protein in control group,LPS group,experimental-H group,experimental-H+sh-NC group and experimental-H+sh-SATB2 group were 0.83±0.09,0.19±0.03,0.66±0.05,0.62±0.07 and 0.23±0.03,respectively;cell viability rates were(100.00±1.00)％,(48.16±4.31)％,(85.31±5.83)％,(81.39±6.47)％and(58.75±5.24)％,respectively;cell apoptosis rates were(3.27±0.81)％,(41.26±2.09)％,(11.35±1.04)％,(10.29±1.26)％and(35.87±2.15)％,respectively;MDA levels were(13.16±1.73),(52.87±3.49),(23.19±2.05),(20.98±3.17)and(44.87±3.05)μmol·L-1,respectively;IL-6 levels were(507.18±103.26),(2 132.09±198.15),(883.16±136.92),(801.69±119.85)and(1 736.29±206.91)pg·mL-1,respectively.The above indicators in the LPS group showed significant differences compared to the control group(all P＜0.05);the above indicators in the experimental-H group showed significant differences compared to the LPS group(all P＜0.05);the above indicators in the experimental-H+sh-SATB2 group showed significant differences compared to the experimental-H+sh-NC group(all P＜0.05).Conclusion DF has a protective effect on LPS-induced colon epithelial cell injury by intervening oxidative stress and inflammation through SATB2.

Inflammasome is a kind of intracellular polyprotein complex,which is an important component of the complex system of local inflammatory microenvironment after human tissue damage.When the inflammasome is activated,it induces the activation of cysteine aspartate proteinase 1(caspase-1),mediates the maturation and secretion of proinflammatory cytokines,such as interleukin(IL)-1 β and IL-18,and induces cell death,which plays an important role in regulating the host immune response to pathogen infection and tissue repair of cell damage.Nod-like receptor protein 3(NLRP3)inflammatory body,which is composed of NLRP3,pro-cysteine aspartic acid specific protease-1(pro-caspase-1)and apoptosis-related spot-like protein(ASC),is the most deeply and widely studied type of inflammatory body,which plays an important role in the regulation of inflammation.When NLRP3 inflammatory bodies are activated,inflammatory mediators are produced and released,which participate in the occurrence and development of a variety of inflammatory diseases.Some studies have shown that traditional Chinese medicine can improve the pathological state of a variety of diseases by inhibiting NLRP3 inflammatory bodies,and play a role in the prevention and treatment of a variety of inflammatory diseases,including cardiovascular diseases,joint inflammation,diabetes and so on.This paper systematically combs the mechanism of NLRP3 inflammatory bodies,and summarizes the latest research reports on the effects of traditional Chinese medicine compound prescription,traditional Chinese medicine monomers and traditional Chinese medicine extracts on NLRP3 inflammatory bodies in the treatment of inflammatory diseases,in order to provide new ideas for the further study of the pathogenesis and drug treatment of many inflammatory diseases.

Objective To study the role of sphingosine-1-phosphate(S1P)signal on the proliferation of breast cancer BT549 cells.Methods Cells were divided into control group and experimental group,experimental group were treated with 0.1,1.0,10.0 μmol·L-1 S1P receptor agonist SEW2871 for 72 h.Control group was cultured with 0.1％fetal bovine serum.Cell proliferation was detected by methyl thiazolyl tetrazolium(MTT)assay.Cell models of overexpressing S1P receptors in BT549 were divided into three groups:blank plasmid group(LUC),wild type S1P receptor overexpression group(WT),S1P receptor phosphorylation site mutation overexpression group(MUT);the proliferation ratio was detected by MTT,the number of cell clones was counted by colony formation experiment.S1P antagonist W146(10 μmol·L-1)and protein kinase(AKT)signaling inhibitor MK2206(90 nmol·L-1)were used to detect the role of S1P signaling in the proliferation of breast cancer cells.The expression of phosphorylate signal transducer and activator of transcription 3(p-STAT3),c-Myc proteins were detected by Western blot.Results The growth ratio of BT549 cells in control group and 0.1,1.0,10.0 μmol·L-1experimental groups were 1.00±0.03,1.13±0.06,1.06±0.10 and 1.07±0.03,0.1 μmol·L-1 SEW2871 promot the cell proliferation(P＜0.05).Compared between WT group,MUT group and LUC group,the growth rate and the number of clonal colonies were increased after overexpression of S1P receptor(all P＜0.05).The growth ratio of BT549 cells after treatment with W146 and MK2206 in the LUC group,WT group and MUT group were 1.25±0.12,1.31±0.03,1.43±0.14 and 0.87±0.15,0.77±0.03,0.88±0.02.Compared between MUT group,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.01).The number of cell clony formation number after treatment with W146 were 65.65±5.12,141.48±5.63 and 93.64±5.14;compared between MUT,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.05).The relative protein expression levels of p-STAT3 in LUC group,WT group and MUT group were 0.67±0.04,0.69±0.08 and 0.81±0.06,the relative protein expression levels of proto-oncogene c-Myc were 1.69±0.03,0.70±0.10 and 0.67±0.07,compared between WT group,MUT group and corresponding DMSO group,the difference was statistically significant(P＜0.05).Conclusion S1P signaling can promote proliferation in breast cancer BT549 cells,and the mechanism could be related to AKT and STAT3 signaling pathway.