Objective: To develop a smart blood donation service assistant for popularizing donation-related knowledge to blood donors via intelligent Q&A support, thereby enabling precise service delivery. Methods: Based on the operational scenarios of the Zhejiang Provincial Blood Center, the system utilized the open-source Dify platform for agent orchestration, and integrated with the DeepSeek model as the language processing engine to support online real-time interaction. External tools, including the Amap API and MySQL database queries, were encapsulated via the Model Context Protocol (MCP). A professional blood knowledge base for Retrieval-Augmented Generation (RAG) was constructed using the BGE-M3 embedding model. An innovative dual-large language model collaborative verification mechanism was introduced to design the overall framework. The system was deployed privately using Docker containerization, and offline closed-loop optimization was achieved through customized Python scripts. Results: An interactive interface for blood donors was developed by integrating the chatflow Web component from Dify. The intelligent assistant Agent can recommend optimal blood donation sites and navigation routes by invoking the Amap API based on the donor's location. The Blood Donation Knowledge Agent enables timely responses to inquiries, along with reasonable suggestions and reminders. This agent specializes in the field of voluntary blood donation, empowering the assistant to answer doubts and questions for blood donors in the form of intelligent question-and-answer interaction. It also guides users through preliminary self-assessments, helping potential donors identify eligibility issues beforehand, thereby effectively increasing the on-site success rate of blood donation and reducing resource waste. Conclusion: The smart blood donation assistant validates the feasibility of the "Dify+MCP+RAG" technical architecture within the blood transfusion informatization field. The assistant not only improves the service experience for blood donors, but also, ensures the sustainable evolution of the system through its modular design and closed-loop optimization mechanism, thus providing valuable insights for the intelligent transformation of traditional blood donation service systems.

Objective To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) compound in treating pulmonary nodules, providing evidence-based medical evidence for TCM intervention in pulmonary nodules. Methods Computer search of PubMed, CNKI, Wanfang, VIP, and SinoMed was conducted to select randomized controlled trials (RCTs) of TCM compound intervention in pulmonary nodules, with the retrieval time from the inception to November 29, 2023. The Cochrane bias risk assessment tool was used to evaluate the quality of the included studies, and Review Manager 5.4 was used for Meta-analysis. Results A total of 18 RCTs were included, covering 8 provinces across the country, with a total sample size of 1301 patients. The TCM compounds used in the included studies all incorporated the method of dissolving phlegm and dissipating nodules. There was a high risk of bias uncertainty in the included studies. Meta-analysis results suggested that TCM compound could significantly reduce the diameter of pulmonary nodules [MD=−1.41, 95%CI (−1.70, −1.13), P<0.001], decrease the number of nodules [MD=−0.37, 95%CI (−0.73, −0.01), P=0.05], alleviate clinical symptoms [MD=−4.84, 95%CI (−6.04, −3.64), P<0.001], and improve lung function [forced expiratory volume in one second (FEV1), MD=0.55, 95%CI (0.09, 1.01), P=0.02; FEV1/forced vital capacity, MD=6.12, 95%CI (4.47, 7.78), P<0.001]. However, there was no statistically significant difference in the probability of malignancy between the experimental group and the control group [MD=−0.01, 95%CI (−0.01, 0.00), P=0.09]. Conclusion TCM compound can significantly reduce the diameter of pulmonary nodules, decrease the number of nodules, alleviate clinical symptoms, and improve lung function, but future multicenter, large-sample, high-quality RCTs are still needed to further explore and verify this conclusion.

In the context of global warming, protecting outdoor workers from occupational heat exposure has become an important public health concern. This review summarized the principle, applicability, and limitation of three categories of wet bulb globe temperature (WBGT) prediction models: empirical regression models, heat-balance models, and machine-learning models. Drawing on international experience from the United States, Europe, and Japan, this review further examined the technical challenges of applying WBGT-based prediction models to large-scale occupational heat stress early warning systems. In response to gaps in occupational heat stress management in China, WBGT should be considered a core assessment indicator to support a transition from passive response to proactive intervention. A localized implementation pathway is proposed, incorporating mechanism-based model calibration, regional parameter adaptation, and multi-source data fusion. Strengthening collaboration between public health and meteorological departments and developing platform-based flexible intervention strategies for workers in new forms of employment may improve the targeting of occupational heat stress early warning and health protection. Future research should focus on physics-constrained machine learning, refined microenvironmental prediction, and individualized risk assessment to support the development of a digitally enabled occupational heat-health protection framework.

Macrophages are innate immune cells connected with the development of inflammation. Retinoic acid has previously been proved to have anti-inflammatory and anti-arthritic properties. However, the exact mechanism through which retinoic acid modulates arthritis remains unclear. This study aimed to investigate whether retinoic acid ameliorates rheumatoid arthritis by modulating macrophage polarization. This study used retinoic acid to treat mice with adjuvant arthritis and evaluated anti-inflammatory effects by arthritis score, thermal nociceptive sensitization test, histopathologic examination and immunofluorescence assays. In addition, its specific anti-arthritic mechanism was investigated by flow cytometry, cell transfection and inflammatory signaling pathway assays in RAW264.7 macrophages in vitro. Retinoic acid significantly relieved joint pain and attenuated inflammatory cell infiltration in mice. Furthermore, this treatment modulated peritoneal macrophage polarization, increased levels of arginase 1, as well as decreased inducible nitric oxide synthase expression. In vitro, we verified that retinoic acid promotes macrophage transition from the M1 to M2 type by upregulating mitogen-activated protein kinase (MAPK) phosphatase 1 (MKP-1) expression and inhibiting P38, JNK and ERK phosphorylation in lipopolysaccharide-stimulated RAW264.7 cells. Notably, the therapeutic effects of retinoic acid were inhibited by MKP-1 knockdown. Retinoic acid exerts a significant therapeutic effect on adjuvant arthritis in mice by regulating macrophage polarization through the MKP-1/MAPK pathway, and play an important role in the treatment of rheumatic diseases.

The paper summarizes Professor YANG Jun's thoughts on clinical treatment with acupuncture and moxibustion. Professor YANG Jun puts forward the "refined mode for diagnosis and treatment of diseases with acupuncture and moxibustion", aiming to improve the capacity of diagnosis and treatment in clinical practice. He advocates that the diagnosis and treatment should be guided by the identification of etiologies, syndromes and meridians; in accordance with regulating the shape/form, balancing yin and yang, and harmonizing the mind; and by means of skillful techniques of acupuncture and moxibustion, simplified selection of acupoints and delicate manipulations. Besides, he stresses on the combination of multiple techniques of acupuncture (such as penetrating technique with long needle, stuck needling by lifting and pulling, and micro-acupuncture systems) with moxibustion techniques (moxibustion for resolving stasis and unblocking collaterals, pressing moxibustion, borneol moxibustion, moxibustion with medicinal plaster) in clinical practice, so as to enhance the therapeutic effects.
Moxibustion/methods* ; Acupuncture Therapy/methods* ; Humans ; China ; Acupuncture Points

Alzheimer's disease (AD) is the commonest neurodegenerative disease that causes memory decline, cognitive dysfunction and behavior disorders in the aged people. Primary pathological hallmarks of AD include amyloid-β (Aβ), neurofibrillary tangles (NFTs), gliosis, and neuronal loss. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels have important physiological functions, especially in aspects of controlling the resting membrane potential, pacemaker activity, memory formation, sleep and arousal. This article reviews the structure, distribution, regulation of HCN channels and the role of HCN channels in the pathological mechanisms of AD, aiming to provide drug therapeutic targets for the prevention and treatment of AD.
Humans ; Alzheimer Disease/physiopathology* ; Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels/physiology* ; Animals ; Amyloid beta-Peptides/metabolism*

This study aims to investigate the scientificity and efficacy of the compatibility of Jinlingzi San from pharmacokinetics. Liquid chromatography-tandem mass spectrometry(LC-MS/MS) was utilized to determine the plasma concentrations of the active components: toosendanin, tetrahydropalmatine A, and tetrahydropalmatine B at various time points following the gavage of Jinlingzi San and its single medicines in rats. Subsequently, WinNonlin was employed to calculate pertinent pharmacokinetic parameters. The pharmacokinetic parameters in rat plasma were compared between the single medicines and the compound formula of Jinlingzi San. It was discovered that the area under the curve(AUC_(all)) and peak concentrations(C_(max)) of tetrahydropalmatine A, and tetrahydropalmatine B were significantly elevated in the compound formula group compared with the single medicine groups. Conversely, the AUC_(all )and C_(max) of toosendanin notably decreased. Furthermore, the compound formula group had longer mean residence time(MRT) and lower apparent clearance(CL/F) of all three active ingredients than the single medicine groups(P<0.05). These findings indicated that Jinlingzi San enhanced the absorption of tetrahydropalmatine A and tetrahydropalmatine B in vivo, facilitating their pharmacological actions. Concurrently, it inhibited the absorption of toosendanin, thereby preventing potential toxic reactions. Moreover, the compatibility prolonged the residence time of the active ingredients in the body. This study provides a reference for exploring the compatibility rationality of Jinlingzi San.
Animals ; Rats ; Tandem Mass Spectrometry/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Chromatography, Liquid/methods* ; Berberine Alkaloids/blood* ; Liquid Chromatography-Mass Spectrometry

This study aims to explore the mechanism of lung and gut protection by Tanreqing Capsules on the mice infected with influenza virus based on "the lung-gut axis". A total of 110 C57BL/6J mice were randomized into control group, model group, oseltamivir group, and low-and high-dose Tanreqing Capsules groups. Ten mice in each group underwent body weight protection experiments, and the remaining 12 mice underwent experiments for mechanism exploration. Mice were infected with influenza virus A/Puerto Rico/08/1934(PR8) via nasal inhalation for the modeling. The lung tissue was collected on day 3 after gavage, and the lung tissue, colon tissue, and feces were collected on day 7 after gavage for subsequent testing. The results showed that Tanreqing Capsules alleviated the body weight reduction and increased the survival rate caused by PR8 infection. Compared with model group, Tanreqing Capsules can alleviate the lung injury by reducing the lung index, alleviating inflammation and edema in the lung tissue, down-regulating viral gene expression at the late stage of infection, reducing the percentage of neutrophils, and increasing the percentage of T cells. Tanreqing Capsules relieved the gut injury by restoring the colon length, increasing intestinal lumen mucin secretion, alleviating intestinal inflammation, and reducing goblet cell destruction. The gut microbiota analysis showed that Tanreqing Capsules increased species diversity compared with model group. At the phylum level, Tanreqing Capsules significantly increased the abundance of Firmicutes and Actinobacteria, while reducing the abundance of Bacteroidota and Proteobacteria to maintain gut microbiota balance. At the genus level, Tanreqing Capsules significantly increased the abundance of unclassified＿f＿Lachnospiraceae while reducing the abundance of Bacteroides, Eubacterium, and Phocaeicola to maintain gut microbiota balance. In conclusion, Tanreqing Capsules can alleviate mouse lung and gut injury caused by influenza virus infection and restore the balance of gut microbiota. Treating influenza from the lung and gut can provide new ideas for clinical practice.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Lung/metabolism* ; Mice, Inbred C57BL ; Capsules ; Orthomyxoviridae Infections/virology* ; Gastrointestinal Microbiome/drug effects* ; Male ; Humans ; Female ; Influenza A virus/physiology* ; Influenza, Human/virology*

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective To analyze the diagnostic process and clinical characteristics of autoimmune gastritis(AIG)in order to improve the awareness and diagnostic proficiency of this disease.Methods A retrospective cohort study was conducted on 114 patients diagnosed with AIG in Army Medical Center of PLA between January 2021 and June 2024.Comprehensive statistical analysis was performed on clinical data,including demographic characteristics(age,sex),clinical symptoms,comorbidities,diagnostic process,Helicobacter pylori(H.pylori)infection and treatment history,laboratory indicators[results of routine blood test,anemia-related indices,thyroid function,anti-parietal cell antibody(APCA),intrinsic factor antibody(IFA)],and gastrointestinal endoscopic findings(frequency and endoscopic features).Results Among the 114 patients,males accounted for 28.1%(32/114)and females for 71.9%(82/114),and they were at a mean age of 56.3±8.4 years.Predominant symptoms included epigastric/upper abdominal pain(47.4%,54/114)and postprandial fullness(43.0%,49/114),while 24.6%(28/114)reported acid reflux or heartburn.Diagnostic delay occurred in 76.4%(87/114)of patients,with a median delay duration of 11.5 months.Primary diagnostic clues were endoscopic reverse gradient atrophy(significantly more severe mucosal atrophy in the gastric corpus/fundus versus antrum;53.5%,61/114)and repeated H.pylori eradication failure(≥2 attempts;22.8%,26/114).Positivity rate of thyroid peroxidase antibody(TPOAb)and thyroglobulin antibody(TgAb)was 56.9%(33/58)and 36.2%(21/58),respectively.APCA positive rate was 98.8%(81/82),IFA positive rate was 34.1%(28/82),and dual-antibody rate was 32.9%(27/82).Anemia was present in 25.7%(26/101)of the patients.Gastric neuroendocrine tumors(NET)were found in 12.2%(14/114),intraepithelial neoplasia in 5.3%(6/114),and gastric adenocarcinoma in 0.9%(1/114).Among colonoscopy-examined patients,tubular adenomas occurred in 25.0%(13/52)and colorectal malignancies in 3.4%(2/58).There were 18.4%(21/114)patients having gallbladder-related diseases,7.9%(9/114)having diabetes mellitus,and 1.8%(2/114)of subacute combined degeneration of the spinal cord.Conclusion AIG is frequently associated with diagnostic delay.The reverse pattern of atrophy on endoscopy serves as a critical diagnostic clue,necessitating enhanced recognition in endoscopists.Patients with recurrent H.pylori eradication failure(≥2 attempts)should be evaluated for AIG.