Objective To explore the incidence rate and independent risk factors of synchronous multiple early gastric cancer (SMEGC) in patients with early gastric cancer, and to provide evidence for early screening and intervention of high-risk population. Methods A retrospective analysis was performed on 308 patients with early gastric cancer who received treatment in the hospital from March 2019 to March 2024. The incidence rate of SMEGC was counted, and the risk factors were analyzed by univariate and multivariate Logistic regression analyses. Results Among the 308 patients with early gastric cancer in this study, 23 cases were SMEGC and 285 were single early gastric cancer, which were included in the SMEGC group and the single group respectively. The incidence rate of SMEGC was 7.47% (23/308). Compared with the single group, the proportions of male, smoking history, tumor diameter≤2 mm, chronic atrophic gastritis and intestinal metaplasia degree were higher in the SMEGC group (2=4.331、8.608、4.618、6.490、4.897，P=0.037、0.003、0.032、0.001、0.027). Logistic regression analysis suggested that chronic atrophic gastritis (OR=3.133, 95%CI: 1.240-7.918) and moderate-to-severe intestinal metaplasia (OR=3.171, 95%CI: 1.252-8.029) were independent risk factors for SMEGC (P<0.05). Conclusion Some patients with early gastric cancer are SMEGC. Chronic atrophic gastritis and moderate-to-severe intestinal metaplasia are independent risk factors affecting the occurrence of SMEGC. It is recommended to regularly screen high-risk patients and optimize management strategies to reduce the risk of SMEGC.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

Asthma is a chronic inflammatory disease involving multiple inflammatory cells and cytokines. Its pathogenesis is complex, involving various cells and cytokines. Traditional Chinese medicine(TCM) theory suggests that the pathogenesis of asthma is closely related to the dysfunction of internal organs such as the lungs, spleen, and kidneys. In contrast, modern immunological studies have revealed the central role of T helper 1(Th1)/T helper 2(Th2) and T helper 17(Th17)/regulatory T(Treg) cellular immune imbalance in the pathogenesis of asthma. Th1/Th2 imbalance is manifested as hyperfunction of Th2 cells, which promotes the synthesis of immunoglobulin E(IgE) and the activation of eosinophil granulocytes, leading to airway hyperresponsiveness and inflammation.Meanwhile, Th17/Treg imbalance exacerbates the inflammatory response in the airways, further contributing to asthma pathology.Currently, therapeutic strategies for asthma are actively exploring potential targets for regulating the balance of Th1/Th2 and Th17/Treg immune responses. These targets include cytokines, transcription factors, key proteins, and non-coding RNAs. Precisely regulating the expression and function of these targets can effectively modulate the activation and differentiation of immune cells. In recent years,traditional Chinese medicine active ingredients have shown unique potential and prospects in the field of asthma treatment. Based on this, the present study systematically summarizes the efficacy and specific mechanisms of TCM active ingredients in treating asthma by regulating Th1/Th2 and Th17/Treg immune balance through literature review and analysis. These active ingredients, including flavonoids, terpenoids, polysaccharides, alkaloids, and phenolic acids, exert their effects through various mechanisms, such as inhibiting the activation of inflammatory cells, reducing the release of cytokines, and promoting the normal differentiation of immune cells. This study aims to provide a solid foundation for the widespread application and in-depth development of TCM in asthma treatment and to offer new ideas for clinical research and drug development of asthma.
Asthma/genetics* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Th2 Cells/drug effects* ; Th17 Cells/drug effects* ; T-Lymphocytes, Regulatory/drug effects* ; Th1 Cells/drug effects* ; Animals ; Cytokines/immunology* ; Medicine, Chinese Traditional

Asthma, a chronic inflammatory airway disease with a high global prevalence, has a complex pathogenesis, in which airway remodeling plays a key role in the chronicity of the disease. Airway remodeling involves a series of pathophysiological changes, including airway epithelial damage, proliferation of mucous glands and goblet cells, subepithelial fibrosis, proliferation and migration of airway smooth muscle cells, and epithelial-mesenchymal transition. These complex pathological changes significantly increase airway resistance and responsiveness, forming an important pathological basis for refractory asthma. Currently, the regulatory mechanisms of airway remodeling focus on signaling pathways and regulatory targets. The signaling pathways include phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt), nuclear factor-κB(NF-κB), transforming growth factor-β1(TGF-β1)/Smads, and mitogen-activated protein kinase(MAPK). The regulatory targets include microRNAs(miRNAs), competing endogenous RNAs(ceRNAs), long non-coding RNAs(lncRNAs), and circular RNAs(circRNAs). Key proteins involved in these processes include TGF-β1, silencing information regulator 2-related enzyme 1(SIRT1), chitinase 3-like protein 1(YKL-40), and adenosine deaminase-metalloproteinase 33(ADAM33). In recent years, the potential of traditional Chinese medicine in the treatment of asthma has become increasingly evident. Its active ingredients, extracts, and complexes can inhibit airway remodeling in asthma through multiple pathways, demonstrating a variety of effects, including anti-inflammatory actions, inhibition of smooth muscle cell proliferation and migration, regulation of epithelial-mesenchymal transition, attenuation of fibrosis and basement membrane thickening, reduction of mucus secretion, inhibition of vascular remodeling, modulation of immune imbalance, and antioxidative stress. This paper aims to provide an in-depth analysis of the pathogenesis and therapeutic targets of asthma, offering theoretical support and innovative strategies for clinical research and drug development in the treatment of asthma.
Asthma/pathology* ; Humans ; Airway Remodeling/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Animals ; Signal Transduction/drug effects* ; Medicine, Chinese Traditional ; Transforming Growth Factor beta1/metabolism*

The iridoid glycosides from Veronica anagallis-aquatica L. alleviate heart failure by modulating the gut microbiota and influencing the production of two metabolites with potential antihypertrophic effects, HVA and 2OH-VA.Image 1.

Objective:To investigate the metabolism-related proteins and their presence in the plasma of female androgenetic alopecia (FAGA) patients.Methods:From March 2021 to March 2023, FAGA patients aged 18-50 (FAGA group) and healthy women (HC group) were recruited from the Dermatology Outpatient Department of Huashan Hospital. 3 ml of peripheral venous blood was collected from each participant and centrifuged to obtain plasma. Olink proteomics analysis was performed on the collected plasma, differentially expressed proteins were screened with R language, the diagnostic accuracy of the differentially expressed proteins was assessed using receiver operating characteristic (ROC) curve. Gene ontology (GO) analysis was performed on differentially expressed proteins. Immunofluorescence analysis on hair follicles in the parietal region of the FAGA group and the occipital region of the HC group was performed to validate the differentially expressed proteins identified. SPSS 25.0 software was used to analyze the data, with normal distribution metric data represented by Mean±SD. Student’s t-test was used to compare the basic information of two groups of subjects and the relative fluorescence intensity of differentially expressed proteins in hair follicles. Pearson correlation analysis was performed on plasma metabolism-related proteins and the basic information of subjects. P<0.05 indicates a statistically significant difference. Results:Sixty-one cases were included in the FAGA group, with an average age of (33.8±7.4) years and an onset age of (29.5±7.8) years. Among them, 38 cases were mild FAGA, 14 cases were moderate, and 9 cases were severe. Twenty-seven cases were included in the HC group, with an average age of (32.0±7.7) years. There was no statistically significant difference in the basic information (age, body mass index, testosterone, 25-hydroxyvitamin D, uric acid, and ferritin levels) between the two groups of subjects ( P>0.05). Compared to the HC group, the plasma of the FAGA group showed 26 significantly upregulated differentially expressed proteins ( P<0.05), with AHCY and NECTIN2 exhibiting the most significant differences (all P=0.003). The ROC curve evaluation revealed that the area under the curve for AHCY and NECTIN2 was greater than 0.7, indicating good diagnostic accuracy. The GO analysis revealed that the differentially expressed proteins were primarily enriched in the BAT3 complex (cellular component), ubiquitin-dependent ERAD pathway, natural killer cell activation (biological process), as well as ubiquitin protein ligase binding and ubiquitin-specific protease binding (molecular function). Pearson correlation analysis revealed that AHCY ( r=-0.23, P=0.010) and NECTIN2 ( r=-0.31, P=0.033) were negatively correlated with the severity of hair loss in FAGA patients. The results of hair follicle immunofluorescence analysis showed that the relative fluorescence intensity of AHCY and NECTIN2 in the FAGA group was higher than that in the HC group ( P<0.05). In other words, both AHCY and NECTIN2 were upregulated in the FAGA group. Conclusion:Metabolism-related proteins play an important role in FAGA. AHCY and NECTIN2 may serve as early diagnostic biomarkers for FAGA.

Objective:To investigate the metabolism-related proteins and their presence in the plasma of female androgenetic alopecia (FAGA) patients.Methods:From March 2021 to March 2023, FAGA patients aged 18-50 (FAGA group) and healthy women (HC group) were recruited from the Dermatology Outpatient Department of Huashan Hospital. 3 ml of peripheral venous blood was collected from each participant and centrifuged to obtain plasma. Olink proteomics analysis was performed on the collected plasma, differentially expressed proteins were screened with R language, the diagnostic accuracy of the differentially expressed proteins was assessed using receiver operating characteristic (ROC) curve. Gene ontology (GO) analysis was performed on differentially expressed proteins. Immunofluorescence analysis on hair follicles in the parietal region of the FAGA group and the occipital region of the HC group was performed to validate the differentially expressed proteins identified. SPSS 25.0 software was used to analyze the data, with normal distribution metric data represented by Mean±SD. Student’s t-test was used to compare the basic information of two groups of subjects and the relative fluorescence intensity of differentially expressed proteins in hair follicles. Pearson correlation analysis was performed on plasma metabolism-related proteins and the basic information of subjects. P<0.05 indicates a statistically significant difference. Results:Sixty-one cases were included in the FAGA group, with an average age of (33.8±7.4) years and an onset age of (29.5±7.8) years. Among them, 38 cases were mild FAGA, 14 cases were moderate, and 9 cases were severe. Twenty-seven cases were included in the HC group, with an average age of (32.0±7.7) years. There was no statistically significant difference in the basic information (age, body mass index, testosterone, 25-hydroxyvitamin D, uric acid, and ferritin levels) between the two groups of subjects ( P>0.05). Compared to the HC group, the plasma of the FAGA group showed 26 significantly upregulated differentially expressed proteins ( P<0.05), with AHCY and NECTIN2 exhibiting the most significant differences (all P=0.003). The ROC curve evaluation revealed that the area under the curve for AHCY and NECTIN2 was greater than 0.7, indicating good diagnostic accuracy. The GO analysis revealed that the differentially expressed proteins were primarily enriched in the BAT3 complex (cellular component), ubiquitin-dependent ERAD pathway, natural killer cell activation (biological process), as well as ubiquitin protein ligase binding and ubiquitin-specific protease binding (molecular function). Pearson correlation analysis revealed that AHCY ( r=-0.23, P=0.010) and NECTIN2 ( r=-0.31, P=0.033) were negatively correlated with the severity of hair loss in FAGA patients. The results of hair follicle immunofluorescence analysis showed that the relative fluorescence intensity of AHCY and NECTIN2 in the FAGA group was higher than that in the HC group ( P<0.05). In other words, both AHCY and NECTIN2 were upregulated in the FAGA group. Conclusion:Metabolism-related proteins play an important role in FAGA. AHCY and NECTIN2 may serve as early diagnostic biomarkers for FAGA.

Objective:To analyze and summarize the trends and hot spots in the field of neurological damage caused by electric welding operations, and to provide ideas for new researches by searching the domestic and international literature.Methods:In December 2022, using Web of Science Citation Index (Web of Science), China Journal Full-Text Database (CNKI) and Wanfang Database as search databases, literature search was conducted on the Chinese and English search terms related to eletrical welding operations and neurological damage. The bibliometric analysis software VOSviewer 1.6.18 and CiteSpace 6.1.6 were used to visualize the publication year, publication quantity, country, research institution and key words of the literature.Results:A total of 309 articles (112 in Chinese and 197 in English) were included in this study. The first domestic and international papers were published in 1976 and 1994 respectively, and the number of papers reached the peak in 2006 and 2018, and then showed a downward trend to varying degrees. In China, Shandong First Medical University (including Shandong Institute of Occupational Health and Occupational Disease Prevention and Shandong Academy of Medical Sciences) and Wuhan University of Science and Technology had the largest number of publications. The 309 articles were from 52 Chinese journals and 86 English journals. The co-occurrence analysis of key words showed that the domestic research mainly focused on eletrical welding operation, welding workers, neurobehavioral function and manganese, and the nervous system damage caused by manganese in welding smoke was the field of international attention. Long term exposure, risk, and performance were key buzzwords in the field.Conclusion:The research focus in the field of nervous system damage caused by electric welding operation has an obvious trend of time evolution, gradually transiting from clinical manifestations to its toxic mechanism and early biomarkers.

Objective:To analyze and summarize the trends and hot spots in the field of neurological damage caused by electric welding operations, and to provide ideas for new researches by searching the domestic and international literature.Methods:In December 2022, using Web of Science Citation Index (Web of Science), China Journal Full-Text Database (CNKI) and Wanfang Database as search databases, literature search was conducted on the Chinese and English search terms related to eletrical welding operations and neurological damage. The bibliometric analysis software VOSviewer 1.6.18 and CiteSpace 6.1.6 were used to visualize the publication year, publication quantity, country, research institution and key words of the literature.Results:A total of 309 articles (112 in Chinese and 197 in English) were included in this study. The first domestic and international papers were published in 1976 and 1994 respectively, and the number of papers reached the peak in 2006 and 2018, and then showed a downward trend to varying degrees. In China, Shandong First Medical University (including Shandong Institute of Occupational Health and Occupational Disease Prevention and Shandong Academy of Medical Sciences) and Wuhan University of Science and Technology had the largest number of publications. The 309 articles were from 52 Chinese journals and 86 English journals. The co-occurrence analysis of key words showed that the domestic research mainly focused on eletrical welding operation, welding workers, neurobehavioral function and manganese, and the nervous system damage caused by manganese in welding smoke was the field of international attention. Long term exposure, risk, and performance were key buzzwords in the field.Conclusion:The research focus in the field of nervous system damage caused by electric welding operation has an obvious trend of time evolution, gradually transiting from clinical manifestations to its toxic mechanism and early biomarkers.

Background Welders' exposure to welding fumes with multiple metals leads to decreased pulmonary function. Previous studies have focused on single metal exposure, while giving little attention to the impact of metal mixtures. Objective To assess the association between metal levels in urine and blood of welders and pulmonary function indicators, and to identify key metals for occupational health risk assessment. Methods Questionnaire surveys, lung function tests, urine and blood sampling were conducted among welders and control workers in a shipyard in Shanghai. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect the concentrations of 12 metals such as vanadium, chromium, and manganese in urine and blood. Spearman correlation was applied to analyze the correlations between the metals in urine and blood. Multiple linear regression, weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) were used to analyze the relationships between mixed metal exposure and pulmonary function parameters, such as forced vital capacity (FVC), forced vital capacity as a percentage of predicted value (FVC%), forced expiratory volume in the first second (FEV₁), forced expiratory volume in the first second as a percentage of predicted value (FEV₁%), and forced expiratory volume in the first second/forced vital capacity (FEV₁/FVC). Results This study enrolled 445 subjects, including 322 welders (72.36%) and 123 controls (27.64%). The mean age of the 445 participants was (37.64±8.80) years, and 87.19% participants were male. The welders had significantly higher levels of urinary cadmium (0.88 vs 0.58 μg·L⁻¹), blood chromium (5.86 vs 5.06 μg·L⁻¹), and blood manganese (24.24 vs 21.38 μg·L⁻¹) than the controls (P<0.05). The Spearman correlation coefficients between the metals in urine and blood ranged from −0.46 to 0.68. After adjustment for confounders, the multiple linear regression indicted that the urine molybdenum of the welders was negatively correlated with FVC and FEV₁. There were also negative correlations between the molybdenum in blood and FVC, FVC%, FEV₁, and FEV₁%, and between the copper in blood and FEV₁/FVC. The WQS model showed that FEV₁ and FVC decreased by 0.112 L and 0.353 L with each quartile increase of metal mixture concentrations in urine and blood among the welders respectively, and the leading contributors were copper, zinc, vanadium, and antimony. The BKMR model showed a negative overall effect of metal mixtures in urine and blood among the welders on FVC, FVC%, FEV₁, and FEV₁%, and the univariate exposure response-relationship between the molybdenum concentration in urine or blood and FVC, FVC%, FEV₁, or FEV₁% had an approximately linear decreasing trend. Meanwhile, there may be an interaction of cadmium with manganese, nickel, or vanadium, and an interaction of vanadium with iron, molybdenum, zinc, or copper, when different metals in urine among the welders interacted with FEV₁%. Conclusion Exposure to multiple metals in welders leads to a decline in lung function, with molybdenum, antimony, copper, and zinc as the leading contributors.