Sepsis is a systemic inflammatory response syndrome caused by the invasion of pathogenic microorganisms such as bacteria. In addition to the manifestations of systemic inflammatory response syndrome and primary infection lesions， critical cases often have manifestations of organ hypoperfusion. The morbidity and mortality of sepsis have remained high in recent years， which seriously affect the quality of life of the patients. The pathogenesis of sepsis is complicated， in which uncontrollable inflammation is a key mechanism. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a key role in mediating inflammation in sepsis. The available therapies of sepsis mainly include resuscitation， anti-infection， vasoactive drugs， intensive insulin therapy， and organ support， which show limited effects of reducing the mortality. Therefore， finding new therapeutic drugs is a key problem to be solved in the clinical treatment of sepsis. In recent years， studies have shown that traditional Chinese medicine （TCM） can regulate the PI3K/Akt pathway via multiple pathways， multiple effects， and multiple targets to inhibit inflammation and curb the occurrence and development of sepsis， which has gradually become a hot spot in the prevention and treatment of sepsis. Moreover， studies have suggested that TCM has unique advantages in the treatment of sepsis. TCM can regulate the PI3K/Akt signaling pathway to inhibit inflammation， reduce oxidative stress， and control apoptosis in the prevention and treatment of sepsis. Despite the research progress， a systematic review remains to be performed regarding the TCM treatment of sepsis by regulating the PI3K/Akt signaling pathway. After reviewing relevant papers published in recent years， this study systematically summarizes the relationship between PI3K/Akt pathway and sepsis and the role of TCM in the treatment of sepsis， aiming to provide new ideas for the potential treatment of sepsis and the development of new drugs.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

ObjectiveTo develop traditional Chinese medicine （TCM） formulae for the treatment of nonsevere coronavirus disease 2019 （COVID-19） and to explore its anti-inflammatory mechanism. MethodsThe dysregulated signaling pathways were determined in macrophages from bronchoalveolar lavage fluid of COVID-19 patients and in lung epithelial cells infected with SARS-CoV-2 in vitro based on transcriptome analysis. A total of 102 TCM formulae for the clinical treatment of nonsevere COVID-19 were collected through literature. The pathway-reversing rates of these formulae in macrophages and lung epithelial cells were evaluated based on signature signaling pathways， and the basic formula was determined in conjunction with TCM theory. The commonly used Chinese materia medica for nonsevere COVID-19 were summarized from the 102 TCM formulae as abovementioned. And together with the screening results from the Pharmacopoeia of the People's Republic of China， a “Chinese materia medica pool” was esta-blished for the development of TCM formulae for COVID-19. The regulatory effects of each herb on signaling pathways were obtained based on targeted transcriptome analysis. Oriented at reversing dysregulated signaling pathways of COVID-19， the calculation was carried out， and the artificial intelligent methods for compositing formulae， that are exhaustive method and parallel computing， were used to obtain candidate compound formulas. Finally， with reference to professional experience， an innovative formula for the treatment of nonsevere COVID-19 was developed. The ethanol extract of the formula was evaluated for its anti-inflammatory effects by detecting the mRNA expression of interleukin 1b （Il1b）， C-X-C motif chemokine ligand 2 （Cxcl2）， C-X-C motif chemokine ligand 10 （Cxcl10）， C-C motif chemokine ligand 2 （Ccl2）， nitric oxide synthase 2 （Nos2）， and prostaglandin-endoperoxide synthase 2 （Ptgs2） using reverse transcription-quantitative polymerase chain reaction （RT-qPCR） in RAW264.7 cells treated with lipopolysaccharide （LPS）. ResultsIn macrophages and lung epithelial cells， 34 dysregulated signaling pathways associated with COVID-19 were identified respectively. The effects of the 102 formulae for clinical treatment of nonsevere COVID-19 were evaluated based on the dysregulated signaling pathways and targeted transcriptome， and the result showed that Yinqiao Powder and Pingwei Powder （银翘散合平胃散， YQPWP） ranked first， reversing 91.18% of the dysregulated signaling pathways in macrophages and 100% of the dysregulated signaling pathways in lung epithelial cells. Additionally， YQPWP had the function of scattering wind and clearing heat， resolving toxins and removing dampness in accordance with the pathogenesis of wind-heat with dampness in COVID-19. It was selected as the basic formula， and was further modified and optimized to develop an innovative fomula Qiaobang Zhupi Yin （翘蒡术皮饮， QBZPY） based on expert experience and artificial intelligence in composing formulae. QBZPY can reverse all the dysregulated signaling pathways associated with COVID-19 in macrophages and lung epithelial cells， with the reversing rates of 100%. The chief medicinal of QBZPY， including Lianqiao （Fructus Forsythiae）， Xixiancao （Herba Siegesbeckiae） and Niubangzi （Fructus Arctii）， can down-regulate multiple signaling pathways related with virus infection， immune response， and epithelial damage. RT-qPCR results indicated that compared with the model group， the QBZPY group down-regulated the mRNA expression of Il1b， tumor necrosis factor （Tnf）， Cxcl2， Cxcl10， Ccl2， Nos2 and Ptgs2 induced by LPS in RAW264.7 cells （P＜0.05 or P＜0.01）. ConclusionBased on targeted transcriptome analysis， expert experience in TCM and artificial intelligence， QBZPY has been developed for the treatment of nonsevere COVID-19. The ethanol extract of QBZPY has been found to inhibit mRNA expression of several pro-inflammatory genes in a cellular inflammation model.

Quercetin can mediate the activation of mitogen-activated protein kinase(MAPK)signaling pathways to prevent osteoporosis(OP).This paper comprehensively discusses the interrelationship between MAPK and osteoporosis-related cells based on the latest domestic and international research.Additionally,it elucidates the research progress of quercetin in mediating the MAPK signaling pathway for OP prevention.The aim is to provide an effective foundation for the clinical prevention and treatment of OP and the in-depth development of quercetin.

Objective To establish a prediction model for lymph node metastasis(LNM)of gastric cancer based on routine laboratory indicators using machine learning algorithms.Methods This study collected data of 741 gastric cancer patients at Affiliated Hospital of Nantong University between January 2020 and January 2022 for model training and testing.Additionally,data of 102 gastric cancer patients between January 2023 and October 2023 were collected for model validation.XGBoost algorithm was used to calculate the importance of indicators and filter out a set of important indicators from 66 indicators.Five machine learning algorithms,including K-Nearest Neighbor,Support Vector Machine,Multilayer Perceptron,Random Forest and Adaboost,were constructed and trained for comparative analysis.Furthermore,the stability and accuracy of the model were further validated on the validation set.Results This study selected a set of important indicators composed of 9 routine laboratory indicators and trained the gastric cancer LNM prediction model,named V9.Additionally,through comparative experiments,it was found that the Adaboost algorithm based on the boosting strategy had the best performance,with evaluation metrics such as area under the curve,F1 score,accuracy,sensitivity,and specificity ranging from 0.833 to 0.968.The accuracy of the predictions on the validation set was 94.12%.Conclusion V9 was a gastric cancer LNM prediction model that has auxiliary clinical diagnostic value.It can be used to assess the risk of patients accurately and provide a basis for clinical decision-making.

Sepsis is one of the common severe diseases caused by the dysregulated host response to infection， which seriously threatens the life and health of human beings all over the world. The incidence and mortality of the disease are extremely high， and it has always been an urgent problem to be solved in the field of acute and critical diseases. At present， anti-infection， fluid resuscitation， mechanical ventilation and other programs are most used in clinic to treat sepsis， but their poor prognosis and high cost and other issues remain to be resolved. Therefore， it is necessary to explore a new， efficient， safe and inexpensive drug and treatment model at this stage. The treatment of traditional Chinese medicine （TCM） is based on syndrome differentiation and holistic concept. It can effectively regulate the progression of sepsis， maintain the homeostasis of the body， and has fewer adverse reactions. It has achieved good clinical results. In recent years， a large number of studies have shown that TCM can reduce the inflammatory response by regulating the Toll-like receptor 4（TLR4） signaling pathway， thereby reducing the severity and mortality of sepsis patients. However， there is still a lack of systematic exposition of TCM regulating TLR4 signaling pathway in the treatment of sepsis. Therefore， this article summarizes the relationship between TLR4 signaling pathway and sepsis and the mechanism of TCM in the disease by searching and consulting relevant literature in recent years. It is found that some Chinese medicine monomers and active ingredients， Chinese medicine compounds and Chinese medicine preparations can effectively reduce systemic inflammatory response， repair organ damage and improve the prognosis of sepsis by inhibiting the activation of TLR4 signaling pathway. However， due to various limitations， some studies have directly focused on the differential expression and function of TLR4， ignoring the downstream molecular expression and phenotypic effects of TLR4. The alternative mechanism， relationship and specific molecular mechanism of the pathway are still unclear. There are problems such as unclear pharmacokinetics and unclear mechanism in the pro- and anti-inflammatory balance， which need to be further studied and explored in order to provide new ideas for the potential treatment and drug development for sepsis.

AIM: To explore the predictive value of the combination of triglyceride-glucose(TyG)index, nesfatin-1, and retinol-binding protein 4(RBP4)for diabetic retinopathy, and provide evidence for early prediction of DR.METHODS: The clinical data of 164 patients with type 2 diabetes mellitus(T2DM)who admitted to the hospital between February 2022 and December 2023 were retrospectively collected. Based on the fundus examination results, these patients were divided into two groups: the DR group(n=43), including proliferative DR(PDR, n=19)and non-proliferative DR(NPDR, n=24), and the T2DM without DR group(n=121). The TyG index and the level of nesfatin-1 and RBP4 were measured after admission.RESULTS:T2DM patients with DR had a longer disease duration compared with T2DM patients without DR, and the DR group had higher fasting blood glucose, glycosylated hemoglobin, triglyceride, total cholesterol, low-density lipoprotein, TyG index, and RBP4 levels, while lower high-density lipoprotein and nesfatin-1 levels(all P<0.001). Multivariate Logistic regression analysis indicated that the duration of T2DM(OR=1.338, 95%CI: 1.059-1.690), glycosylated hemoglobin(OR=5.065, 95%CI: 1.659-15.470), low density lipoprotein(OR=12.715, 95%CI: 2.385-67.790), TyG index(OR=23.057, 95%CI: 2.936-181.073)and RBP4(OR=1.319, 95%CI: 1.028-1.692)were the independent risk factors for DR, while nesfatin-1(OR=0.007, 95%CI: 0.003-0.016)was an independent protective factor for DR. The ROC curves were drawn, and the results indicated that the TyG index, nesfatin-1, and RBP4 had certain predictive values for DR patients with T2DM, with areas under curve(AUC)of 0.804, 0.878 and 0.738, respectively. The combined AUC of the TyG index, nesfatin-1, and RBP4 was 0.946, sensitivity was 83.72%, and specificity was 92.56%. Patients with PDR had a higher TyG index, higher RBP4 level, and lower nesfatin-1 level than patients with NPDR(all P<0.05). Spearman's correlations indicated a positive association between the TyG index, RBP4 and DR degree, and a negative association between nesfatin-1 and DR degree(rs=0.557, 0.392, -0.359, repectively, all P<0.05). Pearson correlation analysis indicated a negative correlation between the TyG index and the levels of nesfatin-1, a positive correlation between the TyG index and the levels of RBP4, and a negative correlation between the levels of nesfatin-1 and RBP4 in DR patients with T2DM(r=-0.486, 0.538, -0.592, all P<0.05).CONCLUSION: The serum of TyG index and the levels of nesfatin-1 and RBP4 were early predictive markers for DR and were associated with the risk of the occurrence and severity of the disease. Besides, the combined prediction performance of TyG index, nesfatin-1, and RBP4 was better for DR.

BACKGROUND:The second heart field is crucial for the development of the embryonic heart.Abnormal development of the second heart field can result in multiple cardiac malformations.After Cx43 gene knockout,reduced formation and proliferation of cells of the second heart field can be observed,but the specific reason remains unclear. OBJECTIVE:(1)To determine whether β-catenin,Smo and Cx43 were co-expressed in the second heart field and the endoderm,we observed the expression patterns of these proteins.(2)To explore whether Cx43 interacts with the Wnt/β-catenin pathway or the Shh pathway in the development of the second heart field. METHODS:Serial paraffin sections of the mouse embryos at embryonic days 10-12 were selected for immunohistochemical staining,hematoxylin-eosin staining and immunofluorescence staining.The primitive gut of mouse embryos at embryonic day 11 was separated for western blot assay and co-immunoprecipitation. RESULTS AND CONCLUSION:(1)Cx43 and Isl1 were co-expressed in some mesenchymal cells on the ventral side of the foregut and dorsal wall of the pericardial cavity of mouse embryos at embryonic days 10-12;Isl1 positive cells increased while Cx43 positive cells increased.(2)Cx43 and β-catenin were co-expressed in the ventral part of the endoderm at embryonic days 10-12.(3)Cx43 and Smo were co-expressed in the endoderm at embryonic days 10-12.(4)The co-immunoprecipitation results confirmed that there was an interaction between Cx43 and β-catenin,which suggested that Cx43 interacted with β-catenin to participate in the development of the second heart field.