OBJECTIVE To predict and verify the mechanism of Jiawei qifang weitong granule in ameliorating precancerous lesions of gastric cancer （PLGC）. METHODS Transcriptomic data of PLGC-related were obtained from the GEO database to screen differentially expressed genes and conduct functional enrichment analysis. Targets related to gastric mucosal injury repair were screened via the GeneCards database. The active ingredient targets of Jiawei qifang weitong granule were predicted using the TCMSP and other databases. The intersection of differentially expressed genes， gastric mucosal repair targets and active ingredient targets was extracted. A protein-protein interaction network was constructed based on the STRING database， and the top 6 hub target genes with the highest connectivity were screened. A PLGC rat model was established by combining 1-methyl-3-nitro-1-nitrosoguanidine with alternating fasting and full feeding. Model rats were divided into model group， weifuchun group （positive control， 0.40 g/kg）， low-， medium- and high-dose Jiawei qifang weitong granule groups （9.73， 19.44， 38.90 g/kg）， with 10 rats in each group. Another 10 unmodeled rats were set as control group. Rats in each group were intragastrically administered corresponding liquid medicine or normal saline once a day for 30 consecutive days. After the last administration， pathological morphological changes of rat gastric tissues were observed， and the mRNA expression levels of hub target genes as well as partial protein expression levels in gastric tissues were detected. RESULTS Transcriptomics and network pharmacology analyses revealed that the top 6 hub target genes ranked by connectivity included MMP9 （matrix metalloproteinase 9）， BCL2（B-cell lymphoma 2）， IL10（interleukin 10），ICAM1（intercellular adhesion molecule 1）， PTGS2 （prostaglandin-endoperoxide synthase 2）， and HIF1A （hypoxia-inducible factor 1α subunit）. Animal experiments showed that compared with the model group， gastric mucosal pathological injury was significantly alleviated in medium- and high-dose Jiawei qifang weitong granule groups and weifuchun group. The pathological injury score of gastric mucosa， the mRNA expression levels of MMP9， PTGS2， ICAM1， BCL2 and HIF1A， as well as the protein expression levels of PTGS2 and BCL2 in gastric tissues were significantly decreased （P＜0.05）， while the mRNA expression level of IL10 was significantly increased （P＜0.05）. CONCLUSIONS Jiawei qifang weitong granule may ameliorate PLGC by targeted down-regulating the mRNA expression of MMP9， PTGS2， ICAM1， BCL2 and HIF1A， up-regulating IL10 mRNA expression， and regulating the imbalance between gastric mucosal inflammatory response and injury repair.

AIM To prepare the oral lyophilized tablets of gastrodin-coated micropowder.METHODS Fluidized bed bottom spray method was adopted in the preparation of coated micropowder,after which the oral lyophilized tablets were further prepared.With mannitol consumption,pullulan consumption and xanthan gum consumption as influencing factors,comprehensive score for appearance traits,moisture,disintegration time and the sedimentation volume ratio as an evaluation index,the formulation was optimized by Box-Behnken method,then the taste-masking effect,appearance traits,moisture,disintegration time,content uniformity and dissolution rate were investigated.RESULTS The optimal formulation was determined to be 44.20 mg/tablet for mannitol consumption,3.70 mg/tablet for pullulan consumption,1.30 mg/tablet for xanthan gum consumption,66.67 mg/tablet for coated micropowder,and 1.5 mg/tablet for sucralose micropowder,the comprehensive score was 17.43.The obtained oral lyophilized tablets demonstrated good taste-masking effect,appearance traits and content uniformity with the disintegration time of 3-5 s,whose dissolution rates were less than 5％within 3 min in the simulated oral environment(phosphate buffer solution at pH 6.8)and more than 85％within 15 min in the simulated gastric environment(hydrochloric acid solution at pH 1.2).CONCLUSION The oral lyophilized tablets of gastrodin-coated micropowder display good taste,ease of swallowing and simple and feasible preparation process,which can provide a new idea for the taste improvement of other oral lyophilized tablets and unpleasant-smelling raw medicines.

With the rise of the digital era,various digital technologies,including three-dimensional printing,reconstruction,and visualization,have been widely applied in medicine,particularly in surgery,advancing medical development and innovation.Digital technology and preci-sion medicine have advanced with the development and application of artificial intelligence(AI),leading to diverse innovations in the field of surgery.Digital technology has also facilitated new approaches in precision medicine,enabling the precise localization of lesions before sur-gery,real-time intraoperative navigation,and the establishment of predictive models for postoperative outcomes.These advancements have thus driven the comprehensive transformation of surgical practice toward greater personalization,precision,and intelligence.This study provides a comprehensive review of the application of digital technologies in gastrointestinal tumor management,encompassing preoperat-ive planning,intraoperative navigation,and postoperative recovery.The evolution of digital technologies is described,and an in-depth sum-mary is provided of the development and clinical value of digital technology in gastrointestinal tumor surgery.Additionally,the study pro-poses future directions for digital medicine in this field.

Purpose To develop a nomogram combined radiomics,clinical and CT morphographic features for the prediction of the acquired T790M mutation in patients with advanced non-small cell lung cancer with resistance after the duration of first-line epidermal growth factor receptor(EGFR)-tyrosine kinase inhibitor(TKI)treatment.Materials and Methods The chest CT images and clinical data of 116 patients who underwent secondary biopsy after disease progression during first-line TKI treatment for advanced non-small cell lung cancer with EGFR sensitive mutations,from December 2016 to December 2022 in Shaoxing People's Hospital were retrospectively analyzed.All patients were randomly divided into a training cohort(n=81)and a validation cohort(n=35),at a ratio of 7︰3.The regions of interest of the lesion were delineated,and radiomics features were extracted.Feature selection was performed via the maximum relevance minimum redundancy and the least absolute shrinkage and selection operator methods.Clinical features were selected via univariate and multivariate Logistic regression.A nomogram combined clinical and radiomics features was subsequently constructed.The predictive ability of the combined model was evaluated via receiver operator characteristic curve,calibration curves and decision curve analysis.Results The progression-free survival of first-line EGFR-TKIs(OR=1.086,P=0.041),initial EGFR profile(OR=0.280,P=0.021),vascular convergence(OR=4.050,P=0.036)and air bronchogram(OR=3.265,P=0.030)were highly correlated with the acquired T790M mutation.The combined model demonstrated good predictive performance for acquired T790M mutation,both in the training set(AUC=0.867,95%CI 0.790-0.944)and the validation set(AUC=0.895,95%CI 0.786-1.000).The calibration curve showed good calibration power,and the decision curve analysis demonstrated a significant net benefit.Conclusion A radiomics-clinical nomogram based on CT radiomics has the potential to predict acquired T790M mutation and could be a complementary tool for T790M mutation detection after resistance to first-or second-generation EGFR-TKIs.

This study was aimed at investigating the effectiveness of various host nucleic acid removal and non-specific amplifica-tion techniques in animal tissue samples,to increase the accuracy of pathogen identification in tissue samples.Simulated samples were prepared with a mixture of mouse lung tissue homogenates and Klebsiella pneumoniae fluids,and processed with six host nucleic acid removal kits and three non-specific amplification techniques.The effectiveness of each method in removing host DNA and enriching nucleic acids of pathogenic microorganisms was evaluated through real-time fluorescence quantitative PCR and high-throughput se-quencing.For host nucleic acid removal techniques,the method of selective cleavage and quantitative degradation of host DNA(Com-plete5 kit)effectively decreased the host nucleic acid content in tissue samples and increased the relative abundance of pathogen nucleic acids.In contrast,the magnetic bead method for host DNA removal(Next microbiome DNA enrichment Kit kit)was less effec-tive.At lower pathogen concentrations(77 CFU/mL),the Vazyme kit was more effective than the other kits in removing host nucleic acids.Non-specific amplification techniques(MALBAC whole genome amplification,MDA isothermal amplification,and random primer amplification)were not applicable to tissue samples and were not effective in increasing the relative abundance of pathogen nucleic acids.Selective lysis and quantitative degradation of host DNA were suitable for processing tissue samples with high host back-ground and low pathogenic microorganism levels,whereas non-specific amplification methods were not applicable to tissue samples for pre-processing of macro-genome high-throughput sequencing.

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

OBJECTIVES: To investigate the mechanism of DDX17 for regulating proliferation and migration of pulmonary arterial smooth muscle cells (PASMCs) during the development of pulmonary hypertension (PH). METHODS: In murine PASMCs cultured under normoxic or hypoxic conditions, the effects of transfection with si-Ddx17 and insulin treatment, alone or in combination, on cell proliferation and migration were evaluated using Ki-67 immunofluorescence staining, scratch assay and Transwell assay. Western Blotting was performed to detect the changes in protein expression levels of DDX17, 4EBP1, S6, p-4EBP1, and p-S6. In a mouse model of PH induced by intraperitoneal injection of monocrotaline (MCT), the changes in pulmonary vasculature were examined using HE staining following tail vein injection of AD-Ddx17i. RESULTS: The PASMCs in hypoxic culture exhibited significantly enhanced cell proliferation and migration and protein expressions of p-4EBP1 and p-S6, and these changes were obviously reversed by transfection with si-Ddx17. Treatment with insulin significantly attenuated the effect of si-Ddx17 against hypoxic exposure-induced changes in PASMCs. In the mouse model of MCT-induced PH, transfection with AD-Ddx17i obviously alleviated pulmonary vascular stenosis and intimal hyperplasia. CONCLUSIONS The expression of DDX17 is elevated in hypoxia-induced PASMCs and PH mice, and silencing DDX17 significantly inhibits PASMC proliferation and migration in vitro and pulmonary vascular remodeling in PH mice by reducing mTORC1 activity.
Animals ; Cell Proliferation ; Cell Movement ; DEAD-box RNA Helicases/metabolism* ; Myocytes, Smooth Muscle/metabolism* ; Mice ; Pulmonary Artery/cytology* ; Hypertension, Pulmonary/metabolism* ; Mechanistic Target of Rapamycin Complex 1 ; Cells, Cultured ; Muscle, Smooth, Vascular/cytology*

OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors