Objective To systematically review international research on health communication, and to provide valuable insights and reference for China's health communication research and practice. Methods This study included 693 articles published from January 2023 to April 2024 in two authoritative academic journals in the field of health communication, ^“Health Communication^” and the ^“Journal of Health Communication^”. A systematic review was conducted on the themes, theoretical foundations, research methods, and populations of international health communication research. Results The findings in this study revealed that international health communication research topics were diverse, with hotspots including social media, health information behavior, health misinformation, stigmatization, trust, and risk perception. The results showed that 34% of the articles were based on theoretical foundations, and 93.3% employed research methods, focusing on adolescents, parents, women, and other key populations. Conclusion Domestic health communication research can expand its perspective from ^“information transmission^” to ^“social interaction^”, innovate theories and methods from ^“single paradigm" to ^“multi-integration^” and shift focus from a ^“mass perspective^” to ^“targeted care^” for the health of all populations. Domestic health communication practice can delve into the localization of social media health communication practices, the comprehensive management of health misinformation, and the critical application of new technologies.

ObjectiveTo investigate the possible mechanism of Shufeng Jiedu capsules （SFJD） in alleviating influenza A （H1N1） virus pneumonia and focus on its effect on Toll-like receptor （TLR） signaling pathway in respiratory epithelial cells. MethodsA mouse model of viral pneumonia was established via the A/PR/8/34 （PR8） strain of influenza A virus. Mice were randomly divided into a normal group， a PR8 infection （PR8） group， and an SFJD group （8.4 g·kg^-1）， with 10 mice in each group. The day of infection was designated as day 1. The SFJD group was administered intragastrically at a volume of 20 mL·kg^-1 daily， while the normal and PR8 groups were given an equal volume of deionized water. Micro-computed tomography （Micro-CT） was performed on day 5， and the mice were dissected to collect their lungs， after which the lung index was calculated to verify the therapeutic effect of SFJD. Single-cell sequencing was used to analyze the differentially expressed genes in respiratory epithelial cells. Multiplex fluorescence immunohistochemistry was employed to detect the expression of TLR， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） proteins in epithelial cell adhesion molecule （EpCAM）-positive cells， and the proportion of respiratory epithelial cells expressing TLR pathway proteins was calculated. Respiratory epithelial cells were then sorted by flow cytometry， and Western blot was used to detect the expression of TLR， MyD88， TRAF6， Toll-interleukin receptor domain-containing adaptor inducing interferon-β （TRIF）， inhibitor of κB kinase α （IKKα）， and nuclear factor-κB （NF-κB） in the sorted epithelial cells. Enzyme-linked immunosorbent assay （ELISA） was used to measure the levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in lung tissue. ResultsAt the transcriptional level， SFJD reversed the expression of TLR signaling pathway genes in respiratory epithelial cells， downregulating multiple TLR signaling pathway-related genes （P<0.01）. At the protein level， SFJD significantly reduced the proportion of respiratory epithelial cells expressing TLR3 （P<0.05）， the expression levels of TLR2， TLR3， TLR4， TRIF， TRAF6， IKKα， and NF-κB in epithelial cells（P<0.05， P<0.01）， as well as the levels of pro-inflammatory cytokines IL-1β and TNF-α in lung tissue （P<0.01）. ConclusionSFJD may alleviate viral pneumonia by suppressing the expression of TLR in respiratory epithelial cells and their subsequent signaling cascades.

ObjectiveTo evaluate the pharmacological effects of verbenalin on both in vitro and in vivo infection models of human coronavirus 229E （HCoV-229E） and to preliminarily explore the antiviral mechanism of verbenalin through proteomic analysis. MethodsIn vitro， the cell counting kit-8 （CCK-8） for cell proliferation and viability assessment was used to establish a model of HCoV-229E-induced injury in human lung adenocarcinoma cells（A549）. A549 cells were divided into five groups： normal group， model group， and three verbenalin treatment groups （125， 62.5， and 31.25 μmol·L^-1）. The cell protective activity of verbenalin was evaluated through cell viability assay and immunofluorescence staining. In vivo， 30 BALB/c mice were randomly divided into normal group， model group， chloroquine group， and high-dose， low-dose verbenalin groups （40 and 20 mg·kg^-1）， with six mice per group. An HCoV-229E-induced mouse lung injury model was established to evaluate the therapeutic effects of verbenalin. Lung injury was assessed by detecting the lung index and lung inhibition rate. The severity of pulmonary inflammation cytokines was measured by enzyme-linked immunosorbent assay （ELISA）， while the lung morphology and structure were analyzed by micro-computed tomography （Micro-CT）. Hematoxylin and eosin （HE） staining was used to assess histopathological changes in lung tissue. Additionally， four-dimensional data-independent acquisition （4D-DIA） proteomics was employed to preliminarily explore the potential mechanisms of verbenalin in treating HCoV-229E-induced lung injury in mice， through differential protein expression screening， functional annotation， enrichment analysis， and protein-protein interaction network analysis. ResultsThe A549 cells were infected with HCoV-229E at the original viral titer for 36 hours to establish an in vitro infection model. The maximum non-toxic concentration of verbenalin was 125 μmol·L^-1， and the half-maximal cytotoxic concentration （CC₅₀） was 288.8 μmol·L^-1. Compared with the normal group， the model group showed a significant decrease in cell viability （P<0.01）， a significant increase in the proportion of dead cells （P<0.01）， mitochondrial damage， and a significant reduction in mitochondrial membrane potential （P<0.01）. After treatment with different concentrations of verbenalin （125， 62.5， and 31.25 μmol·L^-1）， cell viability was significantly increased （P<0.01）， and the proportion of dead cells was reduced （P<0.01）， with mitochondrial membrane potential restored （P<0.01）. In vivo experiments further confirmed the therapeutic effect of verbenalin on HCoV-229E-infected mice. Compared to the normal group， the model group showed a significant increase in the lung index （P<0.01）， severe lung tissue injury， lung volume enlargement， and a significant increase in the expression of inflammatory cytokines， including interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） （P<0.01）. In contrast， in the verbenalin treatment groups， these pathological changes were significantly improved， with a reduction in the lung index （P<0.01）， alleviation of lung tissue injury， reduced lung volume enlargement， and a significant decrease in inflammatory cytokine expression （P<0.01）. Proteomics analysis revealed that， compared to the normal group， the model group showed enrichment in several antiviral immune-related signaling pathways， including the nuclear factor-κB （NF-κB） signaling pathway （P<0.05）. Compared to the model group， the verbenalin treatment group showed enrichment in several signaling pathways related to inflammatory response and autophagy （P<0.05）， suggesting that verbenalin may exert its antiviral and anti-inflammatory effects by regulating these pathways. ConclusionVerbenalin demonstrates significant therapeutic effects in both in vitro and in vivo HCoV-229E infection models， with its mechanism likely related to the NOD-like receptor protein 3 （NLRP3） inflammasome pathway and mitochondrial autophagy.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

In today′s increasingly serious problem of obesity, dietary changes, physical activity, drugs and bariatric surgery play different roles in the field of obesity management. Compared with minimally invasive surgery, the application of endoscopic surgery to carry out bariatric and metabolic treatment with less trauma, faster recovery, fewer complications and lower cost has gradually become a new discipline in the field of obesity management. This article will focus on the history, current status and latest progress of endoscopic surgery for obesity management and look forward to its future development.

Objective:To observe the clinical efficacy and safety of Jianpi Bushen Jiedu Prescription combined with 5-fluorouracil (5-FU)-based chemotherapy and targeted therapy for the treatment of advanced colorectal cancer patients with liver and kidney yin deficiency combined with spleen deficiency pattern.Methods:A randomized controlled trial was conducted. A total of 72 hospitalized patients with advanced colorectal cancer treated at the Department of Oncology, Nanjing Hospital of Traditional Chinese Medicine Affiliated to Nanjing University of Chinese Medicine from October 2022 to January 2024 were enrolled as study subjects. Using a random number table method, they were allocated into two groups, with 36 patients in each group. The control group received the mFOLFOX6/FOLFIRI combined with bevacizumab regimen, while the treatment group was administered additional oral Jianpi Bushen Jiedu Prescription on the basis of the control group. Two weeks was a cycle in both groups, with a total of 6 cycles of treatment. Serum levels of carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), and carbohydrate antigen 724 (CA724) were detected using electrochemiluminescence; the Karnofsky Performance Status (KPS) scale was utilized to evaluate patients' functional status; vital signs were continuously monitored, and adverse reactions were recorded. The short-term efficacy and TCM syndrome efficacy of patients were evaluated.Results:The treatment group demonstrated higher objective response rate (ORR) [31.25% (10/32) vs. 21.88% (7/32), χ2=0.72] and disease control rate (DCR) [84.38% (27/32) vs. 71.88% (23/32), χ2=1.46] compared to the control group, without statistical significance ( P>0.05). Post-treatment levels of CEA [4.09 (3.31,8.57) μg/L vs. 10.07 (4.55,22.35) μg/L, Z=-2.10] and CA72-4 [4.54 (2.04,10.99) mU/L vs. 9.48 (4.34,18.95) mU/L, Z=-2.52] in the treatment group were significantly lower than those in the control group ( P<0.05). The total effective rate of TCM syndrome was significantly higher in the treatment group [78.13% (25/32)] compared with the control group [50.00% (16/32)], with statistical significance ( χ2=5.50, P=0.019). Post-treatment KPS scores in the treatment group [80.0 (80.0, 80.0) vs. 70.0 (62.5, 80.0), Z=-2.76] were significantly higher compared with the control group ( P<0.01). During the treatment period, the treatment group showed statistical significance compared with the control group in the incidence of hemoglobin decrease ( χ2=4.66), leukopenia decrease ( χ2=4.27), and peripheral neuropathy ( χ2=3.93), with statistical significance ( P<0.05). Conclusion:The addition of Jianpi Bushen Jiedu Prescription to 5-FU-based chemotherapy combined with targeted therapy demonstrates significant clinical benefits in advanced colorectal cancer patients, including reducing tumor marker levels, alleviating clinical symptoms, improving quality of life, and mitigating treatment-related toxicities, with a good safety.

Obesity and overweight remain major global public health challenges.In this paper,we examine current applications of digital nutrition technologies in weight management using the scoping review framework of Arksey and O'Malley.Visual recognition technologies have evolved from early-stage food image recognition into more advanced systems,although the vast diversity of food types continues to pose challenges for accuracy and generalizability.The combination of wearable devices and non-wearable sensors has increased the diversity of collected data and improved user comfort.Data integration and analysis tools,such as digital virtual twins,support personalized interventions by integrating multidimensional data.In addition,emerging applications have demonstrated encouraging clinical outcomes.However,existing studies have limitations,such as small sample sizes,high levels of information bias,and low evidence quality.Barriers,such as limited accessibility and high initial costs,further constrain the scalability of digital nutrition tools.Future studies should focus on expanding sample sizes,improving population diversity,and developing effective assessment methods and adjustments for specific target populations.Privacy and data security concerns must also be addressed to ensure safe implementation.Overall,digital nutrition technologies offer a promising approach to weight management,but continuous efforts in research and cost reduction are needed to fully realize their potential in weight management and to promote health for all.

Objective To explore the current status of big language models in recommending intervention disciplines and interventional therapies.Methods Four mainstream models,including Kimi k1.5,Doubao,DeepSeek-Rl and ChatGPT-4o were selected,and the standardized questions("recommended departments"and"treatment methods")for 18 common interventional diseases were designed.Through three repeated tests,the recommendation data were collected,and SPSS 25.0 was used to perform statistical analysis.Results Major language models recommended interventional physicians and their treatment methods to a certain extent,among which lower limb arterial occlusion and Stanford B-type aortic dissection in circulatory system diseases got the highest recommendation rates(100％)in interventional medicine and interventional treatment respectively,ranking among the top three recommendations.In contrast,benign prostatic hyperplasia had the lowest recommendation rate,with no recommendations for either interventional department or interventional treatment.Conclusion Large language models show disease-specific differences in recommendations for interventional radiology.Among the diseases involved in this study,circulatory system diseases have the highest referral degree,while urogenital system diseases have the lowest.The training data of the models need to further strengthen the coverage of scenario data related to the interventional department and its treatment methods,so as to gradually improve the social awareness of the interventional department.

ObjectiveTo determine the association between solid fuel exposure and cancer risk among middle-aged and elderly adults in China, to investigate the underlying biological pathways through selected serological markers, and to examine whether adequate physical activity can mitigate this risk by modulating these pathways. MethodsBased on baseline characteristics, health status indicators and hematological data from the China Health and Retirement Longitudinal Study (CHARLS, 2011‒2018), multivariate logistic regression analyses were conducted to assess the association between solid fuel use and cancer risk, with stratified analyses conducted by physical activity levels. In addition, mediation analyses were performed to evaluate the role of serological markers including hemoglobin concentration and hematocrit in the association between solid fuel use and cancer incidence. ResultsSolid fuel use was significantly associated with an increased cancer risk (OR=1.344, 95%CI: 1.113‒1.615). This association remained significant among individuals with low levels of physical activity ( OR=1.344, 95%CI: 1.067‒1.673 ), but not statistically significant among those with adequate physical activity. Hemoglobin concentration and hematocrit showed a negative mediating effect between solid fuel use and cancer incidence, and this effect was stronger among those with low levels of physical activity. ConclusionIndoor solid fuel use represents an important environmental risk factor for cancer incidence in China’s middle-aged and elderly population, while regular physical activity may reduce carcinogenic risk through modulation of inflammatory levels and hematological indicators such as hemoglobin and hematocrit. Public health strategies should integrate clean energy promotion with exercise interventions to mitigate the cancer burden associated with solid fuel pollution.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.