Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

Objective To investigate the clinical value of serum mast cell carboxypeptidase(MC-CP),C-C motif chemokine 26(CCL26),and decoy receptor 3(DcR3)in the diagnosis of obstructive sleep apnea syndrome(OSAS)in chronic obstructive pulmonary disease(COPD).Methods Ninety COPD patients who visited the First Affiliated Hospital of Hebei North University from January 2021 to January 2023 were collected.Among them,48 patients with simple COPD were included in the COPD group,and 42 patients with COPD combined with OSAS were included in the COPD-OSAS group.During the same period,48 healthy volunteers who underwent physical examination in that Hospital of Hebei North collected as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to detect serum level of MC-CP,CCL26,and DcR3.Receiver operating characteristic(ROC)curve was applied to analyze the clinical value of serum level of MC-CP,CCL26,and DcR3 in the diag-nosis of COPD complicated with OSAS.Multivariate Logistic regression was applied to analyze the influencing fac-tors of COPD complicated with OSAS.Results Compared with the control group,the smoking index,C-reactive protein(CRP)and white blood cell count(WBC)in the COPD and COPD-OSAS groups increased obviously in sequence,the ratio of forced expiratory volume in first second to forced vital capacity(FEV1/FVC)decreased obviously in sequence(P<0.05);Compared with the control group,the level of MC-CP,CCL26,and DcR3 in patients with COPD and COPD-OSAS increased significantly in sequence(P<0.05);The combination of serum MC-CP,CCL26 and DcR3 had a higher area under the curve(AUC)for the diagnosis of COPD complicated with OSAS compared to the individual diagnosis(Z=4.066,P<0.001;Z=2.391,P<0.05;Z=2.353,P<0.05).Multivariate Logistic regression analysis showed that smoking index,serum level of MC-CP,CCL26 and DcR3 were influencing factors for COPD complicated with OSAS(P<0.05).Conclusions The simultane-ously increased expression of MC-CP,CCL26 and DcR3 in the serum of COPD may support clinical diagnostic of COPD patients with OSAS.

BACKGROUND: Gluconeogenesis is a critical metabolic pathway for maintaining glucose homeostasis, and its dysregulation can lead to glycometabolic disorders. This study aimed to identify hub biomarkers of these disorders to provide a theoretical foundation for enhancing diagnosis and treatment. METHODS: Gene expression profiles from liver tissues of three well-characterized gluconeogenesis mouse models were analyzed to identify commonly differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), machine learning techniques, and diagnostic tests on transcriptome data from publicly available datasets of type 2 diabetes mellitus (T2DM) patients were employed to assess the clinical relevance of these DEGs. Subsequently, we identified hub biomarkers associated with gluconeogenesis-related glycometabolic disorders, investigated potential correlations with immune cell types, and validated expression using quantitative polymerase chain reaction in the mouse models. RESULTS: Only a few common DEGs were observed in gluconeogenesis-related glycometabolic disorders across different contributing factors. However, these DEGs were consistently associated with cytokine regulation and oxidative stress (OS). Enrichment analysis highlighted significant alterations in terms related to cytokines and OS. Importantly, osteomodulin ( OMD ), apolipoprotein A4 ( APOA4 ), and insulin like growth factor binding protein 6 ( IGFBP6 ) were identified with potential clinical significance in T2DM patients. These genes demonstrated robust diagnostic performance in T2DM cohorts and were positively correlated with resting dendritic cells. CONCLUSIONS Gluconeogenesis-related glycometabolic disorders exhibit considerable heterogeneity, yet changes in cytokine regulation and OS are universally present. OMD , APOA4 , and IGFBP6  may serve as hub biomarkers for gluconeogenesis-related glycometabolic disorders.
Machine Learning ; Humans ; Computational Biology/methods* ; Biomarkers/metabolism* ; Diabetes Mellitus, Type 2/genetics* ; Animals ; Mice ; Gluconeogenesis/physiology* ; Gene Expression Profiling ; Transcriptome/genetics* ; Gene Regulatory Networks/genetics* ; Clinical Relevance

Objective To analyze the current status and influencing factors of occupational health literacy (OHL) among noise-exposed workers in the automotive manufacturing industry. Methods A total of 1 188 front-line workers in noise-exposed positions in the automotive manufacturing industry were selected by judgment sampling method. The OHL status of the workers was investigated using the Occupational Health Literacy Questionnaire of National Key Population, and the influencing factors of OHL were analyzed. Results The overall OHL level was 30.13% (358/1 188). The result of binary logistic regression analysis showed that marital status, educational level, personal monthly income, household registration, enterprise scale and weekly working hours were influencing factors of OHL level (all P<0.05). Specifically, being married, having a high school education or higher, monthly personal income >5 000 yuan, being from a non-agricultural household, working in a medium-sized enterprise, and working more than >40-48 hours per week were protective factors for high OHL levels (all P<0.05). Conclusion There is considerable room for improvement in the OHL of noise-exposed workers in the automotive manufacturing industry. Focus should be placed on workers who are unmarried, widowed, or divorced, have educational levels below high school, earn less than 5 000 yuan per month, have agricultural household registrations, work in small or micro-sized enterprises, or work ≤40 hours per week, with targeted strategies to improve their overall OHL level.

Objective To analyze the differences and connections between the current grading and classification methods for nuclear medicine workplaces, and to provide technical guidance for environmental impact assessments and technical reviews. Methods By comparing the objects, purposes, and computational approaches between the two methods, this article illustrates the usage of both methods through specific examples and analyzes the relationship between them. Results The two methods differed in objects, purposes, and computational approaches. The A, B, and C grading scheme was primarily used to establish the level of administrative supervision for an entire nuclear medicine workplace. In contrast, the I, II, and III classification system specifies the hardware facilities and engineering protection requirements of internal places or rooms. Conclusion These two methods are complementary and collectively provide a complete framework for the assessment of nuclear medicine workplaces.

Objective:To investigate the efficacy,safety,and prognostic factors associated with immune checkpoint inhibitors(ICIs)in pa-tients with non-small cell lung cancer(NSCLC)comorbid with chronic obstructive pulmonary disease(COPD).Methods:Clinical and patholo-gical data were collected from 100 patients with stage Ⅲ-Ⅳ NSCLC who received one or more cycles of ICI treatment at Peking University Shougang Hospital between January 2018 and October 2024 were collected.Based on COPD diagnosis,patients were assigned into the NSCLC with COPD(LC-COPD,n=52)and NSCLC without COPD(non-COPD,n=48)groups.The efficacy,safety,and prognostic factors of ICIs treatment were retrospectively analyzed in both groups.Survival analysis was performed using the Kaplan-Meier method,and survival rates were compared using the Log-rank test.Results:Among the patients who received ICIs treatment,median progression-free survival(PFS)in the LC-COPD group was longer than that in the non-COPD group(11.97 vs.7.83 months,P=0.022),but no significant difference was detec-ted in overall survival(OS)(22.37 vs.16.80 months,P=0.110).Compared with the LC-COPD group and patients with normal lung function,the preserved ratio impaired spirometry(PRISm)subgroup showed worse median PFS and OS following immunotherapy(all P<0.05).Multivari-ate analysis revealed that COPD comorbidity,programmed cell death-ligand 1(PD-L1)expression,treatment line,and neutrophil to lympho-cyte ratio(NLR)were independently associated with PFS(P<0.05).Additionally,PD-L1 expression,immunotherapy efficacy,NLR,and inhaled corticosteroids(ICS)use were significantly associated with OS(P<0.05).The incidence of immune-related adverse events was comparable between the two groups.Conclusions:ICI treatment demonstrated a greater positive impact on PFS in patients with NSCLC and COPD than in patients with NSCLC alone in a real-world study,with a good safety profile in both groups.NSCLC patients with PRISm showed poorer out-comes following ICI treatment.PD-L1 expression,FeNO,NLR,and ICS may serve as potential predictive biomarkers for immunotherapy effic-acy in NSCLC patients with COPD.

Objective To understand the changes in self-rated health among middle-aged and elderly individuals in China and the influencing factors,providing a reference for improving health and promoting healthy aging.Methods Using data from the China Health and Aged Care Tracking Survey(CHARLS)from 2011 to 2020,this study analyzed 3595 middle-aged and elderly individuals(≥45 years old)who participated in all five rounds of the survey from 2011 to 2020.Univariate analysis and multinomial logistic regression were employed to analyze the influencing factors of self-rated health changes.Results Among the 3 595 middle-aged and elderly individuals,26.54％reported an increase in self-rated health,28.40％reported a decrease,and 45.06％reported no change.The multinomial logistic regression results indicated that compared to those with unchanged self-rated health,individuals whose self-rated health declined were more likely to have an increased number of Activities of Daily Living(ADLs),a higher number of chronic diseases,not engaging in at least 10 minutes of light physical activity per week,and a decline in life satisfaction levels.The odds ratios for these factors were 1.415(OR=1.415,95％CI:1.181～1.694),1.479(OR=1.479,95％CI:1.225～1.785),1.454(OR=1.486,95％CI:1.172～1.804),and 1.263(OR=1.237,95％CI:1.043～1.530),respectively.In contrast,individuals whose self-rated health improved,compared to those with unchanged health,were more likely to report an increase in life satisfaction levels,while an increase in ADLs and chronic diseases negatively impacted self-rated health improvement.The odds ratios for these factors were 1.698(OR=1.698,95％CI:1.425～2.023),0.769(OR=0.769,95％CI:0.646～0.915),and 0.689(OR=0.689,95％CI:0.549～0.865),respectively.Conclusion From 2011 to 2020,the self-rated health of middle-aged and elderly individuals in China has slightly declined,with a focus on improving physical health status,increasing physical activity,and addressing mental health as key areas for enhancing self-rated health among the elderly in China.

Objective:To analyze the genetic characteristics and evolutionary origin of hepatitis B virus (HBV) subgenotype D3 in China in 2020.Methods:Serum samples and demographic details from patients infected with HBV D3 subgenotype were collected. HBV genomic sequences were obtained by nested PCR amplification and subsequent sequencing. Phylogenetic analysis, nucleotide homology, amino acid mutation and evolution rate of the S protein were conducted by comparing with reference sequence using bioinformatics tools.Results:The complete HBV gene sequences of 14 samples of D3 subtype HBV were obtained. Compared with 97 reference sequences, it was found that the sequences with the highest homology were from India, Mongolia, Iran and China, with the homology ranging from 96.0% to 97.9%. Mutations of 24 amino acids were found in 14 strains of D3 subtype. Among them, T131A, Y134F and T140I were associated with immune escape-related mutations. The genetic diversity of HBV D3 subtype increased slowly before 1975, remained relatively constant from 1975 to 2000, and began to decline after 2000. Evolutionary rate analysis showed that samples QGLD D3-02 and 03 originated from a common ancestor with the Iranian reference strain in 1872, and the other 12 samples QGLD D3-04-17 originated from a common ancestor with the Mongolian reference strain in 1843.Conclusions:The gene sequence of HBV D3 subtype in China had the highest homology with reference sequences from India, Iran, Mongolia and China. Evolutionary rate analysis revealed that 14 cases of HBV D3 subtype originated from a common ancestor with reference strains from Mongolia and Iran, which enriched the sequence and evolution information of HBV D3 subtype and provided a reference basis for the molecular epidemiological study of HBV.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.