In recent years, there have been frequent adverse reactions/events associated with traditional Chinese medicine(TCM), especially liver injury related to traditional non-toxic TCM, which requires adequate attention. Liver injury related to traditional non-toxic TCM is characterized by its sporadic and insidious nature and is influenced by various factors, making its detection and identification challenging. There is an urgent need to develop a strategy and method for early detection and recognition of traditional non-toxic TCM-related liver injury. This study was based on national adverse drug reaction monitoring center big data, integrating methodologies such as reporting odds ratio(ROR), network toxicology, and computational chemistry, so as to systematically research the risk signal identification and evaluation methods for TCM-related liver injury. The optimized ROR method was used to discover potential TCM with a risk of liver injury, and network toxicology and computational chemistry were used to identify potentially high-risk TCM. Additionally, typical clinical cases were analyzed for confirmation. An integrated strategy of "discovery via big data, identification via dry/wet method, confirmation via typical cases, and precise risk prevention and control" was developed to identify the risk of TCM-related liver injury. Corydalis Rhizoma was identified as a TCM with high risk, and its toxicity-related substances and potential toxicity mechanisms were analyzed. The results revealed that liver injury is associated with components such as tetrahydropalmatine and tetrahydroberberine, with potential mechanisms related to immune-inflammatory pathways such as the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and Th17 cell differentiation. This paper innovatively integrated real-world evidence and computational toxicology methods, offering insights and technical support for establishing a risk discovery and identification strategy for TCM-related liver injury based on real-world big data, providing innovative ideas and strategies for guiding the safe and rational use of medication in clinical practices.
Corydalis/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Chemical and Drug Induced Liver Injury/etiology* ; Medicine, Chinese Traditional/adverse effects* ; Rhizome/adverse effects* ; Male ; Female

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective To investigate the histological and cellular bases for the improvement of portal hypertension(PH)by observing liver histopathological changes after treatment in patients with cirrhotic portal hypertension,and to provide a basis for clinical drug development.Methods A total of 322 patients with hepatitis B cirrhosis who completed 48 weeks of antiviral therapy or combined anti-fibrotic treatment in 20 hospitals across 12 provinces in China from September 2014 to October 2018 were enrolled,and the noninvasive diagnostic criteria for clinically significant portal hypertension(CSPH)from Baveno Ⅶ were used to assess the severity of PH;43 patients with a confirmed diagnosis of CSPH were identified based on liver stiffness measurement(LSM)≥25 kPa before treatment,and according to whether the severity of PH was reduced by≥2 grades after treatment,the patients were divided into PH improvement(n=19)group and PH non-improvement group(n=24).Related data were collected,including demographic data,laboratory tests.Liver fibrosis were assessed,including HE staining and reticular fiber staining;liver microvascular lesions were assessed,including obliterative portal venopathy(OPV),nodular regenerative hyperplasia(NRH),and incomplete septal fibrosis(ISF).Single immunohistochemical staining was performed for von Willebrand factor(vWF),and fibronectin;multiplex immunohistochemical staining was performed for fibrinogen,CD32b,CD31,alpha-smooth muscle actin(α-SMA).The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.Results After 48 weeks of treatment,43 patients had significant improvements in red blood cell count,alanine aminotransferase,aspartate aminotransferase,aspartate aminotransferase-to-platelet ratio index score,liver fibrosis grade,and PH grade(all P<0.05),among whom 19 patients showed a reduction in PH severity by≥2 grades(PH improvement group),while the remaining patients were enrolled as the PH non-improvement group.There was no significant difference in the outcome of liver fibrosis between the two groups(χ2=3.380,P=0.066).Microvascular lesion assessment showed that compared with the PH non-improvement group,the PH improvement group had significantly lower OPV severity,microvascular density(the expression level of vWF),and expression of fibronectin(all P<0.05),while there were no significant differences in NRH severity,ISF severity,and the expression level of fibrinogen between the two groups(all P>0.05).Cytological evaluation showed no significant differences in the expression levels of CD32b,CD31,and α-SMA between the two groups before and after treatment(all P>0.05),and comparison of the expression levels before and after treatment showed that the PH improvement group had a significant increase in the expression level of CD32b(t=-2.007,P=0.045)and a significant reduction in the expression level of α-SMA(t=2.628,P=0.013).Conclusion The pathological features of PH improvement are associated with liver fibrosis regression and the improvement in liver microvascular lesions,and at the cellular level,PH improvement is associated with the dedifferentiation of liver sinusoidal endothelial cells and the activated phenotype of hepatic stellate cells.

Objective:To explore the key components and mechanism of Qufeng Ningfei Powder in treating asthma through qualitative analysis of its blood components, combined with network pharmacology and molecular docking techniques.Methods:The blood components of Qufeng Ningfei Powder were qualitatively analyzed using UPLC-QE-Orbitrap-MS technology. R language was employed to analyze chip data from the GEO database, obtaining a list of differentially expressed genes. SwissTargetPrediction was utilized to predict the targets of drug components. Asthma-related targets were searched through databases such as OMIM, GeneCards, and TTD. The intersection of drug and disease targets was identified using Venn online analysis tool, constructing a "drug-component-target-disease" network to screen potential core components. A protein-protein interaction network (PPI) of core targets was constructed using STRING platform and Cytoscape software. GO function enrichment and KEGG pathway analysis were conducted using DAVID database to validate potential mechanism. Molecular docking was performed to verify the interaction between key components and core targets.Results:A total of 64 components were identified, from which 53 active components were screened, corresponding to 609 targets. Further searching disease databases revealed 96 target genes related to asthma, with an intersection of 6 genes between drug and asthma differential genes. Core target gene IL6 and its corresponding core compound were determined through network topology analysis. Molecular docking confirmed the binding of the main active components of Qufeng Ningfei Powder with the core target protein IL6.Conclusion:The blood components of Qufeng Ningfei Powder may regulate IL-17 through IL6, counteract airway remodeling, oxidative stress, and airway hyperresponsiveness, and thus treat asthma.

OBJECTIVE: To assess health equity in the Yangtze River region to improve understanding of the correlation between hand, foot, and mouth disease (HFMD) and socioeconomic factors. METHODS: From 2014-2016, data on HFMD incidence, population statistics, economic indicators, and meteorology from 26 cities along the Yangtze River were analyzed. A multi-city random-effects meta-analysis was performed to study the relationship between temperature and HFMD transmission, and health equity was assessed with respect to socio-economic impact. RESULTS: Over the study period, 919,458 HFMD cases were reported, with Shanghai (162,303) having the highest incidence and Tongling (5,513) having the lowest. Males were more commonly affected (male-to-female ratio, 1.49:1). The exposure-response relationship had an M-shaped curve, with two HFMD peaks occurring at 4 °C and 26 °C. The relative risk had two peaks at 1.30 °C (1.834, 95% CI: 1.204-2.794) and 31.4 °C (1.143, 95% CI: 0.901-1.451), forming an M shape, with the first peak higher than the second. The most significant impact of temperature on HFMD was observed between -2 °C and 18.1 °C. The concentration index (0.2463) indicated moderate concentration differences, whereas the Theil index (0.0418) showed low inequality in distribution. CONCLUSION The incidence of HFMD varied across cities, particularly with changes in temperature. Economically prosperous areas showed higher risks, indicating disparities. Targeted interventions in these areas are crucial for mitigating the risk of HFMD.
Female ; Humans ; Male ; China/epidemiology* ; Cities/epidemiology* ; Hand, Foot and Mouth Disease/transmission* ; Incidence ; Risk Factors ; Temperature

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Background and Aims:Currently,the treatment of hepatocellular carcinoma(HCC)faces significant challenges due to recurrence and metastasis,with tumor immune evasion being one of the key mechanisms underlying these issues.Signal transducer and activator of transcription 3(STAT3),an important transcription factor,is overactivated in many malignancies and is involved in both tumorigenesis and progression,closely associated with immune evasion.Programmed cell death ligand 1(PD-L1),a key immune checkpoint,helps tumor cells evade immune surveillance when its expression is upregulated,thereby suppressing anti-tumor immunity.Studies have shown that STAT3 may activate the MYC signaling pathway through interaction with DNA-activated protein kinase(PRKDC),thereby promoting PD-L1 expression and inducing immune evasion.However,the specific mechanism of the STAT3/PRKDC/MYC axis in HCC remains unclear.This study aims to elucidate the molecular mechanism by which STAT3 regulates PD-L1 expression through the PRKDC/MYC signaling pathway,potentially inducing immune evasion in HCC,with the goal of providing potential targets for HCC immunotherapy.Methods:The expressions of STAT3 in human normal liver cells(HL-7702)and human HCC cells(HuH-7,HepG2)were detected by qRT-PCR and Western blot.Plasmids with STAT3 knockdown(si-STAT3)and PRKDC overexpression(oe-PRKDC),along with their respective negative controls(si-NC,oe-NC),were constructed and transfected into HCC cells(HuH-7)according to the experimental design,with untreated HuH-7 cells as the blank control.Western blot was used to analyze the expression of STAT3,PRKDC,PD-L1,and MYC pathway-related proteins.Cell proliferation,invasion,migration,and apoptosis of HCC cells were assessed by CCK-8,Transwell,wound healing assay,and flow cytometry.After co-culturing HuH-7 cells with human peripheral blood mononuclear cells(hPBMCs),ELISA was used to detect the secretion of the immune regulatory factor interferon γ(IFN-γ).Co-immunoprecipitation and immunofluorescence co-localization were performed to verify the interaction between STAT3 and PRKDC proteins.Results:Results of qRT-PCR and Western blot showed that the mRNA and protein levels of STAT3 were significantly elevated in HCC cells(both P＜0.05).Functional experiments demonstrated that in the si-STAT3 group,HCC cell proliferation,migration,and invasion were significantly weakened,and cell apoptosis was notably increased;the expression of PD-L1 and MYC pathway-related proteins was significantly downregulated;the secretion of IFN-γ was significantly increased after co-culturing with hPBMCs(all P＜0.05).After co-culturing with oe-PRKDC plasmids,the effects of STAT3 knockdown on HCC cells were significantly reversed(all P＜0.05).Scansite 4.0 database analysis revealed that STAT3 and PRKDC have binding sites,and co-immunoprecipitation and immunofluorescence co-localization experiments confirmed the interaction between STAT3 and PRKDC proteins.Conclusion:STAT3 is highly expressed in HCC cells and can promote HCC cell proliferation,migration,invasion,and immune evasion through interaction with PRKDC,suppress cell apoptosis,activate the MYC pathway,and increase PD-L1 expression.The STAT3/PRKDC/MYC axis may serve as a potential target for HCC immunotherapy.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."