Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

ObjectiveTo observe the effect of Tongxie Yaofang on the function of tumor-related natural killer （NK） cells under chronic stress and explore the possible molecular mechanism. MethodFifty SPF-grade BABL/C male mice were randomized into normal， model， and low-， medium-， and high-dose （6.825， 13.65， and 27.3 g·kg^-1， respectively） Tongxie Yaofang groups， with 10 mice in each group. Other groups except the blank group were subjected to 7 days of chronic restraint stress， and then forced swimming and tail suspension tests were carried out to evaluate the modeling performance. After the successful modeling， rats in Tongxie Yaofang groups were administrated with low-， medium-， and high-doses of Tongxie Yaofang by gavage， while those in the other groups were administrated with normal saline by gavage. After 14 days， each group of mice was inoculated with subcutaneous colon cancer to establish the model of colon cancer under chronic stress. The pathological changes of the tumor tissue in each group of mice were observed using hematoxylin-eosin （HE） staining. The content of CD49b-positive cells in the peripheral blood and tumor tissue of mice was measured by flow cytometry. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the content of molecules associated with NK cell activation in the peripheral blood. Western blot was employed to determine the protein levels of major histocompatibility complex class Ⅰ polypeptide-related sequences A and B （MICA+MICB） and UL-16-binding protein 1 （ULBP1） in the tumor tissue. ResultCompared with the normal group， the model group showed a decrease in 5-hydroxytryptamine （5-HT） content and an increase in corticosterone （CORT） content in the serum （P<0.05）. Compared with the model group， Tongxie Yaofang increased the 5-HT content and decreased the CORT content （P<0.05， P<0.01）. Compared with the normal group， the modeling increased the tumor volume and weight （P<0.05）， while Tongxie Yaofang inhibited such increases with no statistical significance. The tumor cells in the model group presented neat arrangement， irregular shape， uneven size， obvious atypia， common nuclear division， and small necrotic area， and blood vessels were abundant surrounding the tumor cells. Compared with the model group， Tongxie Yaofang groups showed sparse arrangement of tumor cells， different degrees of patchy necrosis areas in the tumor， and karyorrhexis， dissolution， and nuclear debris in the necrotic part. Compared with the normal group， the model group showed reduced CD49b-positive cells in the peripheral blood and tumor tissue （P<0.01）. Compared with the model group， Tongxie Yaofang increased CD49b-positive cells （medium dose P<0.01， high dose P<0.05， P<0.01）. Compared with the normal group， the modeling lowered the serum levels of granzymes-B （Gzms-B）， perforin （PF）， interferon （IFN）-γ， and tumor necrosis factor （TNF）-α （P<0.05， P<0.01）. Compared with the model group， low-dose Tongxie Yaofang elevated the serum levels of PF， Gzms-B， and TNF-α （P<0.05， P<0.01）， and medium-dose Tongxie Yaofang elevated the serum levels of Gzms-B， PF， IFN-γ， and TNF-α （P<0.05， P<0.01）. In addition， high-dose Tongxie Yaofang elevated the serum levels of PF， IFN-γ， and TNF-α （P<0.01）. Compared with the normal group， the model group presented down-regulated protein level of ULBP1 （P<0.05）. Compared with the model group， low-， medium-， and high-dose Tongxie Yaofang up-regulated the protein level of ULBP1 （P<0.05， P<0.01）， and medium- and high-dose Tongxie Yaofang up-regulated the protein level of MICA+MICB （P<0.05， P<0.01）. ConclusionTongxie Yaofang may promote NK cell activation by up-regulating the expression of MICA+MICB and ULBP1， thereby delaying the progression of colon cancer under chronic stress.

Objective To investigate the predictive value of systemic immune-inflammation index (SII) for venous thrombo embolism (VTE) in patients with lung cancer.Methods The patients with lung cancer admitted and treated in Chengdu Municipal Second People's Hospital from March 2022 to October 2023 were selected as the study subjects and divided into the VTE group (n=33) and the non-VTE group (n=37) ac-cording to whether or not complicating VTE.The clinical characteristics and laboratory indexes were collect-ed.The multivariate logistic regress was used to analyze the influencing factors.The receiver operating charac-teristic (ROC) curve was drawn.The difference of the areas under curve (AUC) was compared.The Kaplan-Meier survival curve was used to evaluate the risk stratification capability of the related variables for VTE oc-currence in the patients with lung cancer.Results There were statistically significant differences in WBC,neutrophil,lymphocyte,albumin (ALB),D-dimer (D-D),plasma viscosity,neutrophil-to-lymphocyte ratio (NLR),platelet-to-lymphocyte ratio (PLR) and SII between the two groups (P<0.05).The multivariate lo-gistic regression analysis showed that high SII,tumor stage (Ⅲ-Ⅳ stage) and plasma viscosity were inde-pendent risk factors for VTE occurrence in the patients with lung cancer (P<0.05).The ROC curve analysis showed that AUC of the Khorana score,SII,modified Khorana score,NLR and PLR were 0.747,0.776,0.866,0.754 and 0.672,respectively.The predictive efficiency of SII for VTE occurrence in the patients with lung cancer was better than that of Khorana score,NLR and PLR.Conclusion High SII is an independent risk factor for VTE occurrence in the patients with lung cancer,its risk stratification for VTE occurrence in the pa-tients with lung cancer is conducive to early recognize the high risk population.

Since the approval of gemtuzumab ozogamicin,an antibody-drug conjugate(ADC)targeting CD33 in 2000,13 ADC drugs have been approved by the FDA.Although these drugs have clearly improved the survival of patients with various types of advanced cancers,their significant toxicity has compromised their therapeutic benefits.The adverse reactions of ADC drugs are complex and include on-target and off-target toxicities,where the payload drug is a determining factor.Antibody and linker may also affect the degree of toxicity.Combination therapy becomes an important strategy in anticancer treatment because of its increased efficiency,but treatment-related adverse reactions also increase accordingly.This review comprehensively analyzes the toxicity mechanisms of current ADC drugs and proposes various optimization strategies,including but not limited to optimizing linker molecules,upgrading antibody design,and changing drug administration strategies,to improve the overall safety profile of ADC drugs.

Purpose: This study identified risk factors for neurogenic lower urinary tract dysfunction (NLUTD) in patients with acute ischemic stroke (AIS) through multidimensional analysis of the medical records of patients, aiming to reduce the incidence of NLUTD, improve prognosis, and facilitate rehabilitation. Materials and Methods: In this case-control study, patients with AIS were recruited from two tertiary general hospitals in Shenzhen, China, from March 2021 to October 2023. Patients were divided into NLUTD and non-NLUTD groups based on the presence and absence of NLUTD, respectively. Comparative analysis was performed using the Mann–Whitney U and chi-square tests, with significant variables being included in logistic regression analysis. Results: Of the 652 participants enrolled in this study, 119 participants (18.3%) developed NLUTD. Bivariate analysis showed that 39 of 54 screened factors exhibited a significant correlation (p<0.05) with the incidence of NLUTD after AIS. Significant variables identified through logistic regression analysis included Glasgow coma scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) scores, anemia, aphasia, pneumonia, brainstem involvement, multiple lesions, urine clarity (CLA), random venous blood glucose (GLU) and hemoglobin (HGB) levels, and white blood cell (WBC) count. Conclusions A total of 11 risk factors for NLUTD were identified in this study. This finding provides valuable guidance for reducing the incidence of NLUTD after AIS and improving the quality of life of patients.

Objective To screen mitochondria-related genes in Crohn's disease (CD) based on the Gene Expression Omnibus (GEO) database, construct an artificial neural network diagnostic model and evaluate its performance. Methods The CD-related datasets GSE186582 and GSE102133 were downloaded from the GEO database for differential expression genes (DEGs) screening. The intersection of DEGs and mitochondrial genes from the MitoCarta 3.0 database was obtained. Least absolute shrinkage and selection operator regression and random forest algorithms were used to identify CD-specific genes and construct an artificial neural network diagnostic model. The model was further validated by the validation set GSE95095, and the diagnostic performance was evaluated by the area under the curve (AUC) of the receiver operating characteristic curve. The immune cell infiltration in CD was assessed by the CIBERSORT algorithm, and the relationship between biomarkers and infiltrated immune cells was investigated. Results A total of 551 DEGs were obtained, including 275 upregulated and 276 downregulated genes. There were 20 mitochondria-related genes associated with CD. A total of 9 mitochondria-related feature genes (SOD2, MTHFD2, BPHL, PXMP2, RMND1, AGXT2, MAOA, HMGCS2, MAOB) were screened by two machine learning algorithms. An artificial neural network diagnostic model was constructed by the selected feature genes. The values of AUC of the model in the training and validation groups were 0.956 and 0.736 respectively. Immune cell infiltration analysis showed that the feature genes were associated with resting memory CD4⁺ T cells, activated memory CD4⁺ T cells, activated dendritic cells, neutrophils, and CD8⁺ T cells. Conclusion The artificial neural network diagnostic model for CD based on 9 mitochondrial genes has good predictive performance.

Objective To construct a prognostic prediction model for hepatocellular carcinoma (HCC) based on immune and metabolism related genes, analyze the prognostic immune response of HCC patients, and screen potential drugs for HCC treatment through drug sensitivity analysis. Methods HCC expression profiling and clinical data were obtained from The Cancer Genome Atlas (TCGA) database, and a list of immune-related genes was obtained from the Immport database; the Perl language was used to extract metabolism-related pathway gene sets from the Molecular Signatures Database(MSig DB), and co-expression related genes were found through differential analysis and co-expression analysis; the univariate Cox regression analysis, the least absolute shrinkage and selection operator (LASSO) regression analysis, and multivariate Cox regression analysis were used to screen prognosis-related genes and construct a risk prognosis model for HCC, and risk scores for all HCC samples were calculated. Using the median risk score as the critical value, the reliability of the prognostic model was evaluated through risk curves, Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, independent prognostic analysis, and Nomograms. The correlations between risk scores and pathway enrichment analysis as well as immune cell infiltration were analyzed. Drug sensitivity analysis was used to identify potential therapeutic drugs for HCC. Results Five immune and metabolic genes with independent prognostic value were obtained, and a prognostic model based on immune and metabolic genes was constructed. Survival analysis showed that in the total dataset, training group and validation group, the survival rate of the low-risk group was significantly higher than that ofthe high-risk group (P < 0.05). The areas under the ROC curves of the prognostic model for the training group at 1, 3 and 5 years were 0.780, 0.699 and 0.706 respectively. Cox regression analysis showed that grading and risk score could be used as independent prognostic factors for HCC (P < 0.05), with a concordance index of 0.734 (95%CI, 0.669 to 0.798), indicating good model performance. Immune cell infiltration results showed significant differences in resting NK cells, monocytes, M0 macrophages, and M1 macrophages between the high-risk and low-risk groups (P < 0.05). Drug sensitivity analysis screened 12 drugs that may have potential therapeutic effects in HCC patients (P < 0.01). Conclusion The prognostic model of HCC based on five immune and metabolic genes has good predictive performance, and can be used as a new indicator for prognosis evaluation; the 12 drugs screened out have potential efficacy for HCC.

ObjectiveTo explore the effect of Tongxie Yaofang on the immune microenvironment of colorectal cancer in mice under chronic stress and the underlying mechanism. MethodA total of 40 male SPF BABL/C mice were randomized into normal group， stress group， Tongxie Yaofang group （13.65 g·kg^-1）， and Tongxie Yaofang-stress group （13.65 g·kg^-1）， with 10 in each group. Chronic restraint stress was induced in mice and administration （ig） of Tongxie Yaofang began after 7 days of stress. On the 14^th day， forced swim and tail suspension tests were used to examine the behavioral changes of mice after stress and the subcutaneous colorectal tumor was implanted in each group of mice. The effect of this prescription on the body mass and tumor volume of mice was observed. After the last administration， mouse serum and tumor samples were collected. The content of T lymphocytes （CD3⁺， CD4⁺， CD8⁺， and CD4⁺/CD8⁺） in tumor was detected by immunohistochemistry and flow cytometry and levels of corticosterone （CORT） in peripheral blood， and interleukin （IL）-2， interferon-γ （IFN-γ）， IL-6， and IL-10 in the serum were determined by enzyme-linked immunosorbent assay （ELISA）. The protein expression of inhibitor of nuclear factor-κB（IκB） kinase α/β （IKKα/β）， nuclear factor-κB （NF-κB）α （IκBα）， NF-κB p65， and phosphorylated （p）-NF-κB p65 was measured by Western blot. ResultCompared with the normal group， the stress group had large tumor volume （P<0.05）， low content of CD3⁺， CD4⁺， and CD4⁺/CD8⁺ （P<0.05， P<0.01）， high content of CD8⁺， low content of T helper 1 （Th1）-secreted IFN-γ （P<0.05）， high content of T helper 2 （Th2）-secreted IL-10 （P<0.05） and CORT （P<0.05）， high protein expression of p-NF-κB p65， NF-κB p65， and IKKα/β （P<0.05）， and low protein expression of IκBα （P<0.05）. Compared with the normal group， the Tongxie Yaofang group showed slow tumor growth， high content of CD3⁺， CD4⁺， and CD4⁺/CD8⁺ （P<0.01）， low content of CD8⁺ （P<0.05）， high content of Th1-secreted IL-2 and IFN-γ （P<0.05）， low content of Th2-secreted IL-6 and IL-10 （P<0.05）， low content of CORT， low protein expression of p-NF-κB p65， NF-κB p65， and IKKα/β （P<0.05）， and high protein expression of IκBα （P<0.01）. Tongxie Yaofang-stress group demonstrated slower tumor growth， higher content of CD3⁺， CD4⁺， and CD4⁺/CD8⁺ （P<0.01）， smaller content of CD8⁺ （P<0.05）， higher content of IL-2 and IFN-γ （P<0.05）， lower content of IL-6， IL-10 （P<0.05）， and CORT （P<0.05）， lower protein expression of p-NF-κB p65， NF-κB p65， and IKKα/β （P<0.05，P<0.01）， and higher protein expression of IκBα （P<0.01） than the stress group. ConclusionTongxie Yaofang can delay the growth of colorectal cancer under chronic stress and alleviate the deterioration of the immune microenvironment， possibly by inhibiting NF-κB signaling pathway， regulating the function of T lymphocyte subsets， and thus suppressing the secretion of pro-inflammatory factors.

Abnormally activated CDK9 participates in the super-enhancer mediated transcription of short-lived proteins required for cancer cell survival. Targeting CDK9 has shown potent anti-tumor activity in clinical trials among different cancers. However, the study and knowledge on drug resistance to CDK9 inhibitors are very limited. In this study, we established an AML cell line with acquired resistance to a highly selective CDK9 inhibitor BAY1251152. Through genomic sequencing, we identified in the kinase domain of CDK9 a mutation L156F, which is also a coding SNP in the CDK9 gene. By knocking in L156F into cancer cells using CRISPR/Cas9, we found that single CDK9 L156F could drive the resistance to CDK9 inhibitors, not only ATP competitive inhibitor but also PROTAC degrader. Mechanistically, CDK9 L156F disrupts the binding with inhibitors due to steric hindrance, further, the mutation affects the thermal stability and catalytic activity of CDK9 protein. To overcome the drug resistance mediated by the CDK9-L156F mutation, we discovered a compound, IHMT-CDK9-36 which showed potent inhibition activity both for CDK9 WT and L156F mutant. Together, we report a novel resistance mechanism for CDK9 inhibitors and provide a novel chemical scaffold for the future development of CDK9 inhibitors.

Objective To observe the effect of Tongxie Yaofang-containing serum on the cell cycle and apoptosis of colon cancer HCT116 cells,and to explore its possible biological mechanism.Methods Colon cancer HCT116 cells were divided into blank group and Tongxie Yaofang-containing serum group with different concentrations.Cell proliferation and activity detection-8(CCK8)was used to detect the effect of each group on the viability of HCT116 cells at 24,48 and 72 h;Flow cytometry was used to detect the apoptosis and cycle arrest of HCT116 cells induced by different concentrations of Tongxie Yaofang-containing serum;Western blot was used to detect the protein expression level of Cell Cycle Regulatory Protein P21(P21),Cyclin B1,cyclin-dependent protein kinases-1(CDK1),B-lymphoma-2(Bcl-2),Bcl-2-related X protein(Bax),phosphatidylinositol-3-kinase(PI3K),phosphorylated phosphatidylinositol-3-kinase(p-PI3K),protein kinase B(Akt)and phosphorylated protein kinase B(p-Akt)after different concentrations of Tongxie Yaofang-containing serum intervention.Results CCK8 showed that compared with the 10%blank group,10%Tongxie Yaofang-containing serum had a significant inhibitory effect on the viability of HCT116 cells only at 48 h(P<0.01);Compared with the 20%blank group,20%Tongxie Yaofang-containing serum could inhibit the viability of HCT116 cells at 48 and 72 h(P<0.01,P<0.05),and the increase of blank serum will not inhibit the viability of HCT116 cell,so 10%blank serum and 48 h were selected as the drug control and intervention time in the subsequent experiment.Flow Cytometry showed that,compared with the blank group,10%and 20%Tongxie Yaofang-containing serum could arrest HCT116 cell cycle in G2/M phase after 48 h of intervention(P<0.01),and induce HCT116 cell apoptosis.At the same time,Western blot showed that Tongxie Yaofang-containing serum could increase the expression of P21 and Bax to varying degrees,and reduces Cyclin B1,CDK1,Bcl-2,p-PI3K,p-Akt expression(P<0.05,P<0.01).Conclusion Tongxie Yaofang can inhibit the proliferation and induce apoptosis of colon cancer HCT116 cells,and its mechanism may be related to the inhibition of PI3K/Akt signaling pathway.