ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

AIM: To explore the clinical therapeutic effect of teprotumumab combined with glucocorticoid pulse therapy for thyroid-associated ophthalmopathy(TAO), and its impacts on thyroid function, levels of inflammatory factors, and adverse reactions in patients. METHODS: Active TAO patients admitted to the Ophthalmology Department were enrolled and randomly divide into the steroid group and the combined group. Then the steroid group was treated with glucocorticoid pulse therapy, while the combined group was combined with intravenous infusion of teprotumumab on the basis of the steroid group. The clinical therapeutic effect, the CAS, OSDI, M-C-TAO-QOL scores, ocular sign indicators(fissure width, proptosis), levels of inflammatory factors(TNF-α, CRP, IL-17), thyroid function(TSH, FT3, FT4)before and after treatment, and occurrence of adverse reactions were compared between two groups.RESULTS:Totally 96 TAO patients(192 eyes)were included, with 48 cases(96 eyes)in each group. In the combined group, there were 17 males and 31 females, with an average age of 51.85±3.53 y; in the steroid group, there were 14 males and 34 females, with an average age of 51.26±3.84 y. The total effective rate of the combined group(94%)was higher than that of the steroid group(79%)(P<0.05). After treatment, the CAS score, OSDI score, fissure width, proptosis, levels of TNF-α, CRP, and IL-17 in the combined group were all lower than those in the steroid group, and the M-C-TAO-QOL score was higher than that in the steroid group(P<0.05). However, there was no difference in thyroid function indicators and adverse reactions between two groups after treatment(P>0.05). CONCLUSION: The combination of teprotumumab and glucocorticoid pulse therapy for TAO has a prominent therapeutic effect. Meantime, it can more effectively control ocular inflammation, improve ocular signs and quality of life of patients, and has no obvious adverse effect on thyroid function, with controllable safety.

Objective:This study aims to investigate the alterations in m 6A methylation associated with age-related idiopathic pulmonary fibrosis(IPF). Methods:By collecting peripheral blood samples from IPF patients, we investigated the changes in m6A modification levels of total RNA and key regulatory factors in elderly IPF patients.Then, the pulmonary fibrosis models of young and old mice were constructed for verification.A total of 10 IPF patients and 10 healthy controls were selected for this study.The m 6A methylation quantitative kit was employed to assess the m 6A modification levels of total RNA.The expression levels of key m 6A methylation regulators, METTL3, METTL14, and FTO, were quantified using qRT-PCR.Additionally, thirty-two healthy male C57BL/6 mice, comprising 16 mice aged 10-12 weeks and 16 mice aged 6-7 months, were divided into four groups: young control(A), young pulmonary fibrosis(B), aged control(C), and aged pulmonary fibrosis(D), with 8 mice in each group.Mice in groups B and D were intratracheally administered bleomycin to establish a pulmonary fibrosis model, while those in groups A and C received normal saline.Twenty-eight days post-model establishment, the mice were euthanized, and lung tissues were collected for analysis.Histological evaluations were performed using hematoxylin and eosin(HE)staining, Masson staining, hydroxyproline content determination, and immunohistochemistry to assess the extent of pulmonary fibrosis.The m 6A methylation quantification kit was also utilized to measure the m 6A modification levels of total RNA in lung tissue.Furthermore, the mRNA and protein expression levels of the methyltransferase METTL3 were assessed by qRT-PCR and Western blot experiments. Results:The level of m 6A modification was significantly elevated in the aged IPF patient group(0.36±0.03)compared to the control group t=4.882( P<0.05).Furthermore, the expression of METTL3 was markedly higher in the aged IPF patients( t=6.082), while the expression of METTL14 was significantly lower t=17.58( P<0.05).In contrast, the expression level of FTO did not exhibit a significant difference.It is hypothesized that the increased m 6A modification of total RNA in aged IPF patients is closely associated with METTL3.Furthermore, the degree of lung fibrosis in aged mice was more severe than that in young mice.Immunohistochemistry results indicated that TGF-β1 expression was elevated in the lung fibrosis group, with higher levels observed in group D compared to group B( t=5.891, P<0.05), and in group C compared to group A t=4.135( P<0.05).The percentage of positive area for α-SMA was significantly greater in the lung fibrosis mouse model than in the control group t=20.08( P<0.05).The level of m 6A modification was increased in both lung fibrosis groups relative to the normal control group( P<0.05), although no significant difference was found between group D and group B. Overall, METTL3 mRNA and protein expression were upregulated in the lung fibrosis group, with expression in group D being lower than in group B( P<0.05). Conclusions:The level of m 6A modification is elevated in pulmonary fibrosis, and the expression of METTL3 is upregulated in this condition.The downregulation of METTL3 may be associated with the extent of aging, which subsequently exacerbates the progression of pulmonary fibrosis.

Objective:This study aims to investigate the alterations in m 6A methylation associated with age-related idiopathic pulmonary fibrosis(IPF). Methods:By collecting peripheral blood samples from IPF patients, we investigated the changes in m6A modification levels of total RNA and key regulatory factors in elderly IPF patients.Then, the pulmonary fibrosis models of young and old mice were constructed for verification.A total of 10 IPF patients and 10 healthy controls were selected for this study.The m 6A methylation quantitative kit was employed to assess the m 6A modification levels of total RNA.The expression levels of key m 6A methylation regulators, METTL3, METTL14, and FTO, were quantified using qRT-PCR.Additionally, thirty-two healthy male C57BL/6 mice, comprising 16 mice aged 10-12 weeks and 16 mice aged 6-7 months, were divided into four groups: young control(A), young pulmonary fibrosis(B), aged control(C), and aged pulmonary fibrosis(D), with 8 mice in each group.Mice in groups B and D were intratracheally administered bleomycin to establish a pulmonary fibrosis model, while those in groups A and C received normal saline.Twenty-eight days post-model establishment, the mice were euthanized, and lung tissues were collected for analysis.Histological evaluations were performed using hematoxylin and eosin(HE)staining, Masson staining, hydroxyproline content determination, and immunohistochemistry to assess the extent of pulmonary fibrosis.The m 6A methylation quantification kit was also utilized to measure the m 6A modification levels of total RNA in lung tissue.Furthermore, the mRNA and protein expression levels of the methyltransferase METTL3 were assessed by qRT-PCR and Western blot experiments. Results:The level of m 6A modification was significantly elevated in the aged IPF patient group(0.36±0.03)compared to the control group t=4.882( P<0.05).Furthermore, the expression of METTL3 was markedly higher in the aged IPF patients( t=6.082), while the expression of METTL14 was significantly lower t=17.58( P<0.05).In contrast, the expression level of FTO did not exhibit a significant difference.It is hypothesized that the increased m 6A modification of total RNA in aged IPF patients is closely associated with METTL3.Furthermore, the degree of lung fibrosis in aged mice was more severe than that in young mice.Immunohistochemistry results indicated that TGF-β1 expression was elevated in the lung fibrosis group, with higher levels observed in group D compared to group B( t=5.891, P<0.05), and in group C compared to group A t=4.135( P<0.05).The percentage of positive area for α-SMA was significantly greater in the lung fibrosis mouse model than in the control group t=20.08( P<0.05).The level of m 6A modification was increased in both lung fibrosis groups relative to the normal control group( P<0.05), although no significant difference was found between group D and group B. Overall, METTL3 mRNA and protein expression were upregulated in the lung fibrosis group, with expression in group D being lower than in group B( P<0.05). Conclusions:The level of m 6A modification is elevated in pulmonary fibrosis, and the expression of METTL3 is upregulated in this condition.The downregulation of METTL3 may be associated with the extent of aging, which subsequently exacerbates the progression of pulmonary fibrosis.

Objective:To evaluate the value of noninvasive assessment of the 13C-methacetin breath test (13C-MBT) based on infrared isotope spectrometry for liver function reserve in patients with nonalcoholic fatty liver disease (NAFLD). Methods:A total of 120 NAFLD patients met the diagnostic criteria,who admitted to Department of Liver Diseases of the First Affiliated Hospital of Xinjiang Medical University from January 2023 to January 2024,were prospectively selected. Patients were divided into three groups based on liver stiffness measurement (LSM) of FibroTouch:mild fibrosis group (LSM<7.0 kPa,n=40),moderate fibrosis group (7.0≤LSM<9.5 kPa) and severe fibrosis group (LSM≥9.5 kPa,n=40). Meanwhile,40 healthy subjects were selected as a healthy control group. All subjects underwent 13C-MBT and conventional liver function tests. The differences of 13C-MBT parameters and liver function indicators among various groups were compared,and the correlations between 13C-MBT parameters and the degree of liver fibrosis,and between liver function indexes and the degree of liver fibrosis were analyzed. Receiver operating characteristic (ROC) curve was used to evaluate the judgment ability of 13C-MBT parameters to the degree of liver fibrosis. Results:The 13C-MBT parameters in NAFLD patients were lower than those in healthy control group,and the differences were statistically significant (F=27.413,28.635,29.851,P<0.05). With the aggravation of liver fibrosis,13C-MBT parameters in NAFLD patients gradually decreased. The 13C-MBT parameters of severe fibrosis group were significantly lower than those in the mild and moderate fibrosis groups,with statistically significant differences (t=12.331,13.020,14.232,22.033,21.032,29.332,P<0.05),respectively. The 13C-MBT parameters were positively correlated with liver function indicators,and were negatively correlated with LSM,and the absolute values of the correlation coefficients were>0.5,all of them showed statistically significant differences (r=0.375,-0.875,P<0.05). The 13C-MBT parameters had higher sensitivity and specificity in judging the degree of liver fibrosis. Taking MVmax40 as an example,when the limit value was 9.5 kPa,the sensitivity was 86.3％,and the specificity was 83.8％,and the accuracy was 85.0％,and the area under curve (AUC) was 0.913. Conclusion:13C-MBT based on infrared isotope spectrometry is a non-invasive,safe,rapid and accurate detection method,which can reflect the liver function reserve and liver fibrosis degree of NAFLD patients,and has important clinical value for the diagnosis and treatment of NAFLD.

AIM:To evaluate the pharmacokinet-ics(PK)and pharmacodynamics(PD)of two recom-binant human insulin injection by euglycemic clamp technology in healthy male subjects after a single subcutaneous injection.METHODS:We con-ducted a randomized,open-label,single dose,two period,crossover study.A total of 24 healthy male subjects were enrolled and randomized to receive single subcutaneous doses(0.2 U/kg)of the investi-gational products every period.The PK and PD characteristics were assessed by euglycemic clamp up to 14 hours after dosing.RESULTS:Euglycemic clamp technique was successfully established.C-peptide levels detected at each time point before and after administration indicated that endoge-nous insulin secretion was inhibited in the two groups after administration.The geometric mean ratio of Cmax and AUC0-tand 90％confidence interval(CI)of test preparation and reference preparation under fasting condition were in the range of 80.00％-125.00％.CONCLUSION:The human insulin produced by KP Biotech demonstrated similarity to the reference preparation Humulin? in PK and PD characteristics in healthy Chinese subjects.