Lung cancer is the leading cause of cancer-related deaths worldwide， and tumor metastasis is a key factor contributing to the mortality of most lung cancer patients. Aberrant activation of epithelial-mesenchymal transition （EMT） is a major driver of lung cancer progression and metastasis. EMT is characterized by the loss of apical-basal polarity and intercellular adhesion in highly differentiated， polarized， and organized epithelial cells， which acquire motility， migratory potential， and invasive properties. During this process， cells undergo cytoskeletal remodeling and transform into a mesenchymal phenotype， accompanied by associated changes in cellular markers. The EMT process is highly complex and is tightly regulated by intricate networks involving multiple transcription factors， post-translational controls， epigenetic modifications， and non-coding RNAs. Therefore， therapies targeting the mechanisms of malignant transformation and their associated pathways in lung cancer are of significant clinical importance. In recent years， EMT has attracted increasing attention as a potential target for cancer therapy. Chinese medicine， with its characteristics of multi-target action， low side effects， and good therapeutic efficacy， has demonstrated an important role in anticancer treatment. A series of studies have investigated the role of Chinese medicine in inhibiting EMT in lung cancer. Active ingredients of Chinese medicine， including flavonoids， glycosides， phenols， terpenoids， saccharides， and alkaloids， as well as Chinese medicine compound formulas， have shown significant regulatory effects on EMT. Their mechanisms mainly involve multiple pathways， targets， and links， including signaling pathways， exosomes， microRNAs （miRNAs）， and the tumor-associated immune microenvironment. This article summarizes the mechanisms by which EMT promotes malignant tumor progression and reviews the current research on how Chinese medicine active ingredients， monomers， and compound formulas inhibit EMT and suppress lung cancer cell migration and invasion. This study is expected to provide comprehensive theoretical information for basic and translational research on lung cancer.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

Objective:The purpose of this study was to develop a dynamic prediction model for patients with gastric signet ring cell cancer (GSRCC)following laparoscopic radical gastrectomy in order to improve the precision and usefulness of prognoses prediction for overall survival and disease-free survival.Methods:From 2011 to 2018, 914 National Cancer Center patients participated in the study. To find independent prognostic indicators and create a prognostic nomogram model, univariate and multivariate regression analyses were performed. Calibration curves, receiver operating characteristic curves, and consistency indices were used to assess the model's performance. To make clinical application more convenient, two web-based prediction tools were created.Results:A training set of 639 cases and a validation set of 275 instances were randomly selected from among the patients. Important predictive variables such as age, tumor size, location, pN and pT staging, and postoperative chemotherapy were all incorporated in the model (all P<0.05). The model's consistency index and area under the receiver operating characteristic curves were both higher than 0.7, and the calibration curves demonstrated a good fit between the expected and actual values, indicating high accuracy and consistency in postoperative survival prediction for patients with gastric signet ring cell carcinoma. Conclusion:We successfully developed two dynamic prediction models in this study, which improved its clinical practicability using web-based tools and is anticipated to be crucial to clinical practice going forward.

Objective:This study aimed to compare short-chain fatty acid (SCFA) levels in saliva between patients with laryngopharyngeal reflux disease (LPRD) and healthy controls, and to explore the relationship between these SCFAs and the salivary microbiota.Methods:A retrospective case-control study was conducted, enrolling 36 patients with laryngopharyngeal reflux disease (LPRD) who visited the Department of Otorhinolaryngology Head and Neck Surgery, the Eighth Medical Center, Chinese PLA General Hospital between February and November 2023. All patients were diagnosed via pharyngeal pH monitoring. The LPRD group included 30 males and 6 females, aged 20-53 years (30.61±7.83 years). In addition, 39 healthy volunteers were recruited as the control group, comprising 25 males and 14 females, aged 18–58 years (28.64±7.97 years). Unstimulated mixed saliva samples were collected from all participants. Concentrations of eight SCFAs (acetic acid, propionic acid, isobutyric acid, butyric acid, valeric acid, isovaleric acid, hexanoic acid, and heptanoic acid) in saliva were quantified using gas chromatography-mass spectrometry (GC-MS). Salivary DNA was extracted, followed by amplification and sequencing of the 16S rRNA gene to analyze the microbiota composition at the genus level. The SCFA concentrations and the differences in bacterial species between the LPRD and control groups were compared, and the correlation between SCFA concentrations and the relative abundance of different bacterial genera in the salivary microbiota was analyzed. All statistical analyses were performed using R version 3.6.1 and SPSS version 26.0, while, microbiome analyses were conducted using R language.Results:Salivary hexanoic acid concentration was significantly higher in the LPRD group than in the control group [(29.50±19.61) ng/ml vs. (10.15±3.65) ng/ml; t=-2.72, P<0.05]. Significant differences in the relative abundance of 17 bacterial genera were observed between the two groups ( P<0.05), including Prevotella, Butyrivibrio, Streptococcus, and Actinomyces. Correlation analysis revealed that hexanoic acid concentration was significantly positively correlated with the abundance of Butyrivibrio (γ=0.73, P<0.05) and Streptococcus (γ=0.78, P<0.05), while showing a significant negative correlation with Actinomyces (γ=-0.73, P<0.05). Conclusion:Elevated salivary hexanoic acid levels may be associated with the development of LPRD. Dysbiosis of the salivary microbiota might contribute to LPRD pathogenesis by altering the concentrations of SCFA, particularly hexanoic acid.

Objective To investigate whether microRNA-21-5p(miR-21)plays a protective role in hyperoxia-induced acute lung injury(HALI)by regulating ferroptosis through the STAT3/P53/SLC7A11 axis.Methods The interaction between STAT3 and P53 was analyzed by co-immunoprecipitation(Co-IP).Fifty 9-week-old male C57BL/6J mice were randomly divided into normoxia(Control)group,HALI group,miR-21 overexpression(miR-21)group,STAT3 inhibitor(HY-13818)group,and ferrostatin-1(Fer-1)group.After the mice from the miR-21 group received miR-21-5p AAV6 or empty vector via tracheal catheter instillation,the animals were then monitored for 3 weeks.The HY-13818 group was intraperitoneally injected with HY-13818(10 mg/kg)3 times weekly for 2 weeks.The Fer-1 group received 0.8 mg/kg ferrostatin-1 via tail vein injection once daily for 2 consecutive days during modeling.The HALI model was established by exposure to>90%oxygen.After 48 h of hyperoxia,blood samples were collected via orbital sampling for RT-PCR analysis of miR-21 expression.Lung tissues were harvested for wet/dry weight ratio and assessment of histopathological changes via HE staining for lung injury score.Activity of superoxide dismutase(SOD)and contents of malondialdehyde(MDA),Fe2?,glutathione(GSH),and reactive oxygen species(ROS)were measured using photocolorimetry,spectrophotometry and fluorometry.Western blotting was used to evaluate the protein expression of STAT3,P53,SLC7A11,and GPX4.Results The results of Co-IP showed that STAT3 could bind to P53.The HALI group exhibited obviously destroyed alveolar structure,disordered arrangement,thickened interval,with a large number of infiltrated neutrophils and collapsed alveoli,and had significantly increased pathological score of lung injury and ratio of lung Wwet/Ddry weight when compared with the Control group(P<0.05).In the miR-21 group,HY-13818 group and Fer-1 group,the severity of lung injury was significantly reduced,and the pathological score of lung injury and the ratio of Wwet/Ddry weight were decreased(P<0.05)when compared with the HALI group.Compared with the control group,the contents of MDA,Fe2+and ROS were increased(P<0.05),the activity of SOD and content of GSH were declined(P<0.05),the protein levels of STAT3 and P53 were increased(P<0.05),and those of SLC7A11 and GPX4 were decreased(P<0.05)in the HALI group.Compared with the HALI group,decreased MDA and ROS levels(P<0.05),enhanced SOD activity,Fe2+and GSH levels(P<0.05),down-regulation of STAT3 and P53(P<0.05)and up-regulation of SLC7A11 and GPX4(P<0.05)were observed in the miR-21 group and HY-13818 group.Conclusion MiR-21 alleviates HALI,which may be related to its inhibition of ferroptosis through the STAT3/P53/SLC7A11 axis.

Objective:To investigate the association between abdominal fat-related indicators derived from quantitative computed tomography (QCT) and coronary artery calcification (CAC) in middle-aged and elderly individuals, as well as the diagnostic value of these indicators.Methods:This cross-sectional study enrolled middle-aged and elderly participants who underwent health check-ups at Kaifeng Central Hospital between January and December 2024. Participants were divided into a CAC group and a non-CAC group based on the presence or absence of CAC. The CAC group was then stratified into mild, moderate, and severe subgroups according to CAC severity. General clinical data were collected for all participants. All subjects underwent one-stop QCT scanning of the chest and abdomen. An automated abdominal fat analysis system was used to identify fat distribution regions. If accurate identification was not possible, a semi-automated segmentation algorithm combined with manual correction was applied instead. Two physicians performed the measurements independently, and inter-observer consistency was assessed. The average values were calculated to obtain visceral fat area (VFA) and subcutaneous fat area (SFA). The ratio of visceral fat area to subcutaneous fat area (VFA/SFA) was also computed. Multivariate logistic regression analysis was performed to identify the factors associated with CAC in middle-aged and elderly individuals. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of these indicators for CAC. DeLong′s test was used to compare the differences in the area under the curve ( AUC). Results:A total of 252 middle-aged and elderly individuals were included, with a median age of 61 (interquartile rang: 59, 69) years. Of these individuals, 188(74.6%) were males. Among them, 172 were classified into the CAC group and 80 into the non-CAC group. Multivariate logistic regression analysis revealed that VFA, VFA/SFA ratio, age, low-density lipoprotein cholesterol(LDL-C), and hypertension were independently associated with CAC in middle-aged and elderly individuals (all P<0.05). The mild, moderate, and severe CAC subgroups comprised 78, 51, and 43 participants, respectively. Analysis of variance (ANOVA) demonstrated that VFA and VFA/SFA increased with CAC severity, and there were statistically significant differences between the subgroups (all P<0.05). ROC curve analysis showed that the AUCs of VFA and VFA/SFA for diagnosing CAC were 0.841 and 0.810, respectively, with no significant difference between them ( P>0.05). The optimal cutoff values were 177.45 cm2 for VFA (sensitivity: 83.1%, specificity: 72.5%) and 1.592 for VFA/SFA (sensitivity: 65.7%, specificity: 83.7%). For the diagnosis of moderate-to-severe CAC, the AUCs of VFA and VFA/SFA were 0.765 and 0.761, respectively ( P>0.05 for comparison), with cutoff values of 231.75 cm2 (sensitivity: 61.7%, specificity: 83.3%) and 1.962 (sensitivity: 64.9%, specificity: 80.8%). Conclusion:Abdominal VFA and VFA/SFA derived from QCT are independently associated with the presence of CAC in middle-aged and elderly individuals, demonstrating good diagnostic performance for both overall CAC and moderate-to-severe CAC.

BACKGROUND:Mitophagy is closely associated with the development of idiopathic pulmonary fibrosis,but its mechanism remains unclear.OBJECTIVE:To investigate the biological mechanism of mitophagy in idiopathic pulmonary fibrosis and provide ideas for the risk prediction of idiopathic pulmonary fibrosis and subtype differentiation.METHODS:The mitophagy-related genes in idiopathic pulmonary fibrosis were obtained through GEO and Reactome Pathway databases.The mitophagy-related characteristic genes in idiopathic pulmonary fibrosis were screened based on intergroup differences and random forest model.GO functional enrichment analysis and KEGG,Reactome with WIKI pathway enrichment analyses were performed by g:Profiler database.Mitophagy subtypes in idiopathic pulmonary fibrosis were distinguished by consensus clustering method and immune infiltration analysis was performed.The mitophagy-related key gene was screened.Finally,the predictive value of mitophagy-related key gene for the risk of idiopathic pulmonary fibrosis was quantified by alignment diagram and the correlation between mitophagy-related key gene and clinical characteristics of idiopathic pulmonary fibrosis was explored.RESULTS AND CONCLUSION:(1)A total of 13 genes related to mitophagy in idiopathic pulmonary fibrosis were identified and 5 characteristic genes were screened,containing PINK1,RPS27A,SRC,HIF1A,and CDH6.(2)GO analysis was mainly involved in ubiquitin protein ligase binding,and cellular response to hypoxia.Pathway enrichment analysis was mainly involved in PINK1-PRKN mediated mitophagy,NOTCH signaling pathway,signaling by EGFR and angiogenesis.(3)HIF1A had significant expression differences between subtypes,which might serve as a key gene for the differentiation of mitophagy subtypes of idiopathic pulmonary fibrosis.(4)Immune infiltration analysis suggested that myeloid-derived suppressor cell,neutrophil and type 1 T helper cell might have infiltration differences between subtypes,while HIF1A was positively correlated with multiple immune cells.(5)Alignment diagram suggested that the risk of idiopathic pulmonary fibrosis might be predicted by the expression level of HIF1A.(6)Clinical characteristics analysis indicated patients with high expression of HIF1A might have poorer lung function and more severe fibrosis.It is concluded that PINK1,RPS27A,SRC,HIF1A,and CDH6 may influence the development of idiopathic pulmonary fibrosis through mitophagy,in which HIF1A may serve as a key gene for risk prediction with clinical subtype differentiation and HIF1A is strongly associated with the lung function of patients.

Phospholipid pharmaceutical excipients are primarily composed of a glycerol backbone,fatty acid chains,and phosphate groups.Due to their amphiphilic structure and unique physicochemical properties,they are commonly used as emulsifiers and carrier materials in pharmaceutical formulations.The pharmacopoeias of various countries have included phospholipid based pharmaceutical excipients and specified the testing methods and limits for their critical quality attributes.This article focuses on the current inclusion status,characteristic indicators,component content determination indicators,and functionality-related indicators determination methods and limits of phospholipid pharmaceutical excipients of various countries,in order to provide references and a basis for the rational applicatione of phospholipid pharmaceutical excipients.

Objective To investigate the establishment and evaluation of an idiopathic pulmonary fibrosis(IPF)mouse model induced by the intratracheal infusion of bleomycin(BLM)of different concentrations.Methods Male C57BL/6J mice were randomly divided into a control group,Model-L group(1.5 mg/kg,BLM),Model-M group(2.5 mg/kg,BLM),and Model-H group(3.5 mg/kg,BLM).An IPF mouse model was constructed by one-time intratracheal infusion of BLM.The general status,body mass,survival rate,and lung coefficient of mice in different groups were compared.Pathological changes in lung tissue,the hydroxyproline content,fibrosis markers and inflammatory factor levels were observed.Results Compared with the control group,the survival rate decreased and body weight showed a downward trend in the low-,medium-,and high-dose model groups,with significant increases in lung coefficients.Inflammatory infiltration(P＜0.01)and collagen deposition(P＜0.0001)were observed in the lung tissues of all model groups.Hydroxyproline levels in lung tissue and serum were significantly elevated(P＜0.05).The mRNA levels of fibrosis markers α-Sma,Fn1,and Col1a1 were upregulated(P＜0.001),with significant increases in corresponding protein expression(P＜0.05).The mRNA expression of the inflammatory factor Tgfb1 also increased(P＜0.0001).Conclusion 1.5,2.5 and 3.5 mg/kg BLM can induce an IPF model in C57BL/6J mice.Based on the results observed for survival rate,body mass,lung coefficient changes,lung tissue gross and pathological changes,and fibrosis-related biomarkers,2.5 mg/kg BLM is the optimal concentration for inducing an IPF mouse model.

Objective:This study aimed to compare short-chain fatty acid (SCFA) levels in saliva between patients with laryngopharyngeal reflux disease (LPRD) and healthy controls, and to explore the relationship between these SCFAs and the salivary microbiota.Methods:A retrospective case-control study was conducted, enrolling 36 patients with laryngopharyngeal reflux disease (LPRD) who visited the Department of Otorhinolaryngology Head and Neck Surgery, the Eighth Medical Center, Chinese PLA General Hospital between February and November 2023. All patients were diagnosed via pharyngeal pH monitoring. The LPRD group included 30 males and 6 females, aged 20-53 years (30.61±7.83 years). In addition, 39 healthy volunteers were recruited as the control group, comprising 25 males and 14 females, aged 18–58 years (28.64±7.97 years). Unstimulated mixed saliva samples were collected from all participants. Concentrations of eight SCFAs (acetic acid, propionic acid, isobutyric acid, butyric acid, valeric acid, isovaleric acid, hexanoic acid, and heptanoic acid) in saliva were quantified using gas chromatography-mass spectrometry (GC-MS). Salivary DNA was extracted, followed by amplification and sequencing of the 16S rRNA gene to analyze the microbiota composition at the genus level. The SCFA concentrations and the differences in bacterial species between the LPRD and control groups were compared, and the correlation between SCFA concentrations and the relative abundance of different bacterial genera in the salivary microbiota was analyzed. All statistical analyses were performed using R version 3.6.1 and SPSS version 26.0, while, microbiome analyses were conducted using R language.Results:Salivary hexanoic acid concentration was significantly higher in the LPRD group than in the control group [(29.50±19.61) ng/ml vs. (10.15±3.65) ng/ml; t=-2.72, P<0.05]. Significant differences in the relative abundance of 17 bacterial genera were observed between the two groups ( P<0.05), including Prevotella, Butyrivibrio, Streptococcus, and Actinomyces. Correlation analysis revealed that hexanoic acid concentration was significantly positively correlated with the abundance of Butyrivibrio (γ=0.73, P<0.05) and Streptococcus (γ=0.78, P<0.05), while showing a significant negative correlation with Actinomyces (γ=-0.73, P<0.05). Conclusion:Elevated salivary hexanoic acid levels may be associated with the development of LPRD. Dysbiosis of the salivary microbiota might contribute to LPRD pathogenesis by altering the concentrations of SCFA, particularly hexanoic acid.