Objective To understand the antibody levels of diphtheria and tetanus among healthy population in Shanghai Pudong New Area, and to provide a scientific basis for improving the vaccine immunization strategy. Methods Random sampling was used to select healthy people of all ages in 16 communities in Shanghai Pudong New Area from 2018 to 2024, and serum samples were collected and tested for serum anti-diphtheria and tetanus toxin IgG antibodies by enzyme-linked immunosorbent assay (ELISA) method to analyze the antibody positivity rate (≥0.1 IU/ml) and the geometric mean concentration (GMC) of antibodies. Results A total of 3 312 serum samples were included, with a male-to-female ratio of 0.76:1, and 53.77% were local residents. The seropositivity rates and geometric mean concentrations (GMC) of both diphtheria and tetanus antibodies generally declined with increasing age, but exhibited a transient rebound in the 7y-. A total of 1 175 individuals (35.48%) were seropositive for diphtheria, with a GMC of 0.054 IU/mL. For tetanus, 988 individuals (29.83%) were seropositive, with a GMC of 0.033 IU/mL. Significant differences in seropositivity rates (χ²_diphtheria=950.005,χ²_tetanus=1 324.393) and GMC (H_diphtheria=1027.160,H_tetanus=1 142.007) were observed among different age groups (P<0.001). Significant differences in seropositivity rates (χ²_diphtheria=950.005,χ²_tetanus=1324.393) and GMC (H_diphtheria=1027.160,H_tetanus=1142.007) were also found across different years (P<0.001). Conclusion The prevalence of diphtheria and tetanus antibodies in the healthy population of Pudong New Area is relatively low, particularly among adults over 20 years of age with inadequate immunization. This underscores the need to reinforce the National Immunization Program (NIP) vaccine specifications for children under 6 years of age and implement an immunization strategy for adolescents or adults against diphtheria and tetanus.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

Aim To explore the material basis and un-derlying mechanism of Qingre Huoxue Formula(QRHXF)in the treatment of non-small cell lung cancer(NSCLC)by applying network pharmacology,molecular docking technology and bioinformatics com-bined with animal experiments.Methods TCMSP,ECTM,and BATMAN databases were used to obtain active components and corresponding targets of QRHXF;GEO and DisGeNENT databases were con-ducted to acquire NSCLC-associated differential expres-sion genes.By intersecting them,the common targets were obtained.It was chosen to construct a herb-com-ponent-disease network and protein-protein interaction(PPI)network.Furthermore,DAVID database was used to perform gene ontology(GO)function and Kyo-to encyclopedia of genes and genomes(KEGG)path-way enrichment analyses.The molecular docking was presented by adopting Autodock Vina program to verify key targets.RNA-seq datawere downloaded from TC-GA database to obtain differential gene expression.Ka-planMeier(KM)analysis was performed to analyze the relationship between gene expression and overall sur-vival.Mouse subcutaneous tumor model of LLC was established.The effects of QRHXF on body weight,tumor volume and weight were monitored for pharmaco-dynamic analysis.Tumor tissues slides were stained with hematoxylin and eosin(HE)for histopathological examination.Immunohistochemistry(IHC)staining was employed for detecting Ki67 and EP300.Western blot was performed to measure the protein expression of TP53,CDK1 and NTRK1.Results The results of net-work pharmacology showed that a total of seven com-mon targets were screened from NSCLC and QRHXF,and the effect of QRHXF on anti-NSCLC may occur via multiple signaling pathways,including cell cycle.The results of molecular docking indicated that the main ac-tive components of QRHXF had low binding energy and stable docking conformation with the molecular target for treating NSCLC.According to bioinformatic analy-sis,there were significant differences in BRCA1,CDK1 and NTRK1 mRNA expression between tumor tissues and normal tissues,which were also prognostic factors for overall survival.Animal experimental research showed QRHXF inhibited subcutaneous tumor growth(P＜0.01)and improved the quality of life in mice with NSCLC.After QRHXF intervention,the density of tumor cells was significantly reduced,and necrotic are-as were increased.The expressions of Ki67 and EP300 were significantly decreased.Compared with the model group,Western blot showed up-regulation of TP53 and NTRKA(P＜0.05),whereas CDK1 were down-regu-lated(P＜0.05).Conclusion QRHXF exerted anti-NSCLC effects by regulating NTRK1,EP300,TP53,CDK1 and inducing cell cycle,cell cycle arrest and in-hibiting tumor growth,metastasis and angiogenesis.

The incidence rate of kidney diseases in China has always remained high.At present,the clinical treat-ment mainly focuses on symptomatic treatment to delay the progression of the disease,and there is a lack of eco-nomical and effective treatment methods.MicroRNA plays an important regulatory role in the occurrence and devel-opment of diseases.This study aims to explore the role and regulatory mechanism of miR-142a-3p in adriamycin(ADR)-induced renal tubular epithelial cell(TCMK-1)injury,with a focus on its potential as a therapeutic target for ADR nephropathy.First,cell viability was assessed using the CCK-8 kit,and a mouse renal tubular epithelial cell model induced by ADR was established.Subsequently,alterations in miR-142a-3p and its target gene ATG16L1 mRNA levels were quantified using RT-qPCR.Western blotting was used to detect the protein levels of autophagy marker proteins and pyroptosis marker proteins.Monodansylcadaverin(MDC)staining was performed and the autophagy of cells was detected by flow cytometry.The results showed that the relative expression of miR-142a-3p in TCMK-1 cells induced by ADR was increased and the relative expression of its target gene ATG16L1 was decreased(P＜0.0001).Western blotting results showed that the levels of p62(P＜0.001)and pyroptosis-related proteins(P＜0.001)were increased,while the protein levels of autophagy-related proteins were decreased(P＜0.05).The flow cytometry results showed that there was no difference in the mean fluorescence intensity of autoph-agosomes between the ADR group and the autophagosome inhibitor group(3-MA group)(P＞0.05),indicating that after ADR induction,cell autophagy was inhibited and pyroptosis was enhanced.When the expression of miR-142a-3p was inhibited by transfecting miR-142a-3p inhibitor,the relative expression level of the target gene ATG16L1 was restored(P＜0.001).Western blotting showed that the protein level of p62(P＜0.01)and pyropto-sis-related proteins(P＜0.01)were decreased,and the protein level of autophagy-related proteins was restored(P＜0.001).Flow cytometry results further indicated that cell autophagy was restored(P＜0.0001).In conclusion,ADR targets A TG1 6L1 through miR-142a-3p to reduce the autophagy level of TCMK-1,and simultaneously activates GSDMD-mediated pyroptosis.

OBJECTIVES: To explore the underlying pharmacological mechanisms and its potential effects of Chinese medicine herbal formula Sini Powder (SNP) on hepatocellular carcinoma (HCC). METHODS: The active components of SNP and their in vivo distribution were identified using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Construction of component-target-disease networks, protein-protein interaction network, Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and molecular docking were employed to analyze the active components and anti-HCC mechanisms of SNP. Cell viability assay and wound healing assay were utilized to confirm the effect of SNP-containing serum (2.5%, 5.0%, 10%, 20%, and 40%), isoprenaline or propranolol (both 10, 100, and 1,000 µ mol/L) on proliferation and migration of HepG 2 or Huh7 cells. Meanwhile, the effect of isoprenaline or propranolol on the β 2 adrenergic receptor (ADRB2) mRNA expression on HepG2 cells were measured by real-time quantitative reverse transcription (RT-qPCR). Mice with subcutaneous tumors were either subjected to chronic restraint stress (CRS) followed by SNP administration (364 mg/mL) or directly treated with SNP (364 mg/mL). These two parallel experiments were performed to validate the effects of SNP on stress responses. Stress-related proteins and hormones were quantified using RT-qPCR, enzyme-linked immunosorbent assay, and immunohistochemistry. Metagenomic sequencing was performed to confirm the influence of SNP on the gut microbiota in the tumor-bearing CRS mice. RESULTS: The distribution of the 12 active components of SNP was confirmed in various tissues and feces. Network pharmacology analysis confirmed the anti-HCC effects of the 5 active components. The potential anti-HCC mechanisms of SNP may involve the epidermal growth factor receptor (EGFR), proto-oncogene tyrosine-protein kinase Src (SRC) and signal transducer and activator of transcription 3 (STAT3) pathways. SNP-containing serum inhibited the proliferation of HepG2 and Huh7 cells at concentrations of 2.5% and 5.0%, respectively, after 24 h of treatment. Furthermore, SNP suppressed tumor progression in tumor-bearing mice exposed to CRS. SNP treatment also downregulated the expressions of stress-related proteins and pro-inflammatory cytokines, primarily by modulating the gut microbiota. Specifically, the abundance of Alistipes and Prevotella, which belong to the phylum Bacteroidetes, increased in the SNP-treated group, whereas Lachnospira, in the phylum Firmicutes, decreased. CONCLUSION SNP can combat HCC by alleviating stress responses through the regulation of gut microbiota.
Animals ; Gastrointestinal Microbiome/drug effects* ; Liver Neoplasms/microbiology* ; Carcinoma, Hepatocellular/microbiology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Powders ; Cell Proliferation/drug effects* ; Mice ; Molecular Docking Simulation ; Cell Line, Tumor ; Hep G2 Cells ; Receptors, Adrenergic, beta-2/genetics* ; Stress, Physiological/drug effects* ; Cell Movement/drug effects* ; Male ; Protein Interaction Maps/drug effects* ; Cell Survival/drug effects* ; Proto-Oncogene Mas

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To explore the current status, research hotspots, and development trends of shared decision-making in the field of cardiovascular disease nursing, and to provide a reference for future research.Methods:Relevant literature on shared decision-making in cardiovascular disease nursing published up to October 31, 2024, was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure. CiteSpace 6.4.R1 software was used for visualized analysis.Results:A total of 2 748 publications were identified, including 2 446 in English and 302 in Chinese. The overall number of publications has shown an increasing trend. Research hotspots include quality of life, palliative care, machine learning, and artificial intelligence. The emerging trend involves integrating evidence-based approaches with artificial intelligence technologies to build scientific evidence frameworks that support patients in making optimal decisions.Conclusions:Research on shared decision-making in cardiovascular disease nursing has been increasing year by year but remains largely concentrated in developed countries. Future studies should draw on international research frontiers while considering China's national and cultural contexts, enhance academic exchange and collaboration, and explore effective strategies to promote shared decision-making between Medical staff and patients.

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.