Objective To explore the adverse event signals of children using macrolide drugs （azithromycin, clarithromycin, and erythromycin）, and provide reference for rational medicine use in clinical practice. Methods Data from children under 12 years old were extracted from the US FAERS database spanning from the first quarter of 2004 to the second quarter of 2023. The adverse drug reaction （ADR） signal mining for three macrolide antibiotics was conducted using the Reporting Odds Ratio （ROR） and Bayesian Confidence Propagation Neural Network （BCPNN） methods. Special emphasis was placed on analyzing and contrasting the differences in adverse events among the three drugs. Results A total of 1 615 reports for children under 12 years old were retrieved from the FAERS database, including 1 024 reports of azithromycin, 460 reports of clarithromycin, and 131 reports of erythromycin. Among azithromycin and erythromycin, there were more reports from boys than girls, while for clarithromycin, there were more reports from girls than boys. Oral administration was the most common route of administration for all three drugs. Regarding the outcome of adverse events reported, azithromycin and clarithromycin were primarily associated with other serious adverse events, whereas erythromycin was mainly associated with hospitalization and other serious adverse events. The number of adverse events reported decreased with increasing age, with a higher number of reports in the 0-3 age group. Using the ROR and BCPNN methods for signal detection, 86 signals were identified for azithromycin, 91 for clarithromycin, and 34 for erythromycin. These signals involved 22 System Organ Classes （SOCs）, with azithromycin mainly concentrated in skin and subcutaneous tissue disorders （n=21）, clarithromycin in gastrointestinal disorders （n=15）, and erythromycin in gastrointestinal disorders （n=8）. Twenty-four signals of moderate to high risk were detected, with 13 for azithromycin, 9 for clarithromycin, and 2 for erythromycin. Conclusion The adverse events induced by the three drugs with different risks in different systems. When clinically treating Mycoplasma pneumoniae pneumonia in children, the risk profiles of drugs in different systems should be considered, and personalized dosing should be implemented.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Objective To put forward relevant national legislative proposals for preventing workplace violence (WPV) in the healthcare industry by comparing the current legal practices of China and the United States. Methods The Workplace Violence Prevention for Health Care and Social Service Workers Act (hereinafter referred to as the "Act") of the United States was translated and analyzed. The relevant normative legal documents in China were systematically reviewed to compare the legislative differences in the prevention and control of WPV against health care workers. Results The Act aims to establish an employer-driven legal framework for WPV prevention and control. China has no specific legislation for WPV, but has established partial legislation for protecting healthcare workers from external violence through various legal practices. The "Act" regards WPV as an occupational hazard and adopts the priority control order to carry out the prevention and control of WPV. In contrast, China's legislation for WPV approach emphasizes public security and undermines occupational health, treating WPV merely as a work-related injury or accident with limited protection. This gap reveals divergent priorities for legal interests. Conclusion China should integrate WPV prevention and control into the occupational health legal framework through revising existing laws, advancing dedicated legislation, and ratifying relevant international conventions, to strengthen the occupational health legal system. All stakeholders should clarify the responsibilities for WPV prevention and control of healthcare workers, and ensure comprehensive legislative response.

OBJECTIVES: Urinary calculi are characterized by a high recurrence rate, and patients' adherence to self-management after discharge directly affects health outcomes. Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources, making it difficult to meet individualized health management needs. Remote follow-up provides a novel solution to optimize long-term management, improve health literacy, and enhance clinical outcomes. This study aims to evaluate the effect of remote follow-up under an intelligent medical collaborative model on quality of life and health-promoting lifestyle in patients with urinary calculi, and to assess its short-term impact on clinical outcomes. METHODS: A total of 118 patients with urinary calculi admitted to a tertiary hospital in Hunan Province between August and November 2024 were recruited and randomly assigned to a control group (n=59) or an intervention group (n=59). The control group received routine departmental follow-up, while the intervention group underwent remote follow-up based on an intelligent medical collaborative model for one month. Assessments were conducted before discharge (T0), 15 days after discharge (T1), and one month after discharge (T2), using the Wisconsin Stone Quality of Life Questionnaire and the Health-Promoting Lifestyle Profile. At T2, the incidence of forgotten ureteral stents (FUS), ureteral stent-related complications, unplanned readmissions, and patient satisfaction were evaluated. RESULTS: No significant differences were observed between groups at T0 in baseline characteristics or outcome measures (all P>0.05). At T1 and T2, the intervention group had significantly higher health-related quality of life scores than the control group (P<0.05). Generalized estimating equation (GEE) analysis showed significant between-group effects (Wald's χ²=22.961, P<0.001), time effects (Wald's χ²=23.065, P<0.001), and interaction effects (Wald's χ²=6.930, P<0.05). Similarly, at T1 and T2, the intervention group scored significantly higher on health-promoting lifestyle than the control group (P<0.05), with significant between-group effects (Wald's χ²=22.936, P<0.001), time effects (Wald's χ²=10.694, P<0.001), and interaction effects (Wald's χ²=18.921, P<0.05). No significant differences were found between groups in the incidence of FUS, ureteral stent-related complications, or unplanned readmissions (all P>0.05). Patient satisfaction was significantly higher in the intervention group (t=4.089, P<0.001). CONCLUSIONS Remote follow-up under an intelligent medical collaborative model helps improve quality of life, promote health-oriented lifestyles, and enhance patient satisfaction among individuals with urinary calculi.
Humans ; Quality of Life ; Male ; Female ; Urinary Calculi/therapy* ; Health Promotion/methods* ; Middle Aged ; Adult ; Follow-Up Studies ; Treatment Outcome

Bone is a highly calcified and vascularized tissue. The vascular system plays a vital role in supporting bone growth and repair, such as the provision of nutrients, growth factors, and metabolic waste transfer. Moreover, the additional functions of the bone vasculature, such as the secretion of various factors and the regulation of bone-related signaling pathways, are essential for maintaining bone health. In the bone microenvironment, bone tissue cells play a critical role in regulating angiogenesis, including osteoblasts, bone marrow mesenchymal stem cells (BMSCs), and osteoclasts. Osteogenesis and bone angiogenesis are closely linked. The decrease in osteogenesis and bone angiogenesis caused by aging leads to osteoporosis. Long noncoding RNAs (lncRNAs) are involved in various physiological processes, including osteogenesis and angiogenesis. Recent studies have shown that lncRNAs could mediate the crosstalk between angiogenesis and osteogenesis. However, the mechanism by which lncRNAs regulate angiogenesis‒osteogenesis crosstalk remains unclear. In this review, we describe in detail the ways in which lncRNAs regulate the crosstalk between osteogenesis and angiogenesis to promote bone health, aiming to provide new directions for the study of the mechanism by which lncRNAs regulate bone metabolism.
RNA, Long Noncoding/physiology* ; Osteogenesis/physiology* ; Humans ; Neovascularization, Physiologic/genetics* ; Bone and Bones/metabolism* ; Animals ; Mesenchymal Stem Cells ; Signal Transduction ; Osteoblasts ; Osteoclasts ; Angiogenesis

Clinical chemotherapy for prostate cancer is still compromised by high treatment thresholds and severe off-target toxicity of drugs. Given the limited progress in improving therapeutic outcomes and reducing toxicity with the existing toolbox, efforts to broaden the chemotherapeutic window are highly desired. Here, we discover that gossypol (GSP, a natural compound) dramatically enhances the chemosensitivity of cabazitaxel (CTX), even at previously ineffective concentrations. Based on this interesting finding, we exploit a carrier-free chemotherapeutic nano-booster for prostate cancer treatment, which is molecularly co-assembled by GSP and cabazitaxel (CTX). GSP not only readily forms nanoassembly with CTX, but also functions as a chemotherapeutic enhancer that unlocks an ultra-low-dose chemotherapeutic window. Not only that, precise dual-drug nanoassembly confers CTX a significantly larger maximum tolerable dose. As expected, the nano-booster exerts striking therapeutic benefits in mouse prostate tumor xenograft models. This study advances chemotherapeutic window expansion and self-sensitized chemotherapy toward clinical applicability.

Glioma represents the most prevalent malignant tumor of the central nervous system, with chemotherapy serving as an essential adjunctive treatment. However, most chemotherapeutic agents exhibit limited ability to penetrate the blood-brain barrier (BBB). This study introduced a novel dual-targeting strategy for glioma therapy by modulating the formation of nanobody-driven protein coronas to enhance the brain and tumor-targeting efficiency of hydrophobic cisplatin prodrug-loaded lipid nanoparticles (C8Pt-Ls). Specifically, nanobodies (Nbs) with fibrinogen-binding capabilities were conjugated to the surface of C8Pt-Ls, resulting in the generation of Nb-C8Pt-Ls. Within the bloodstream, Nb-C8Pt-Ls could bound more fibrinogen, forming the protein corona that specifically interacted with LRP-1, a receptor highly expressed on the BBB. This interaction enabled a "Hitchhiking Effect" mechanism, facilitating efficient trans-BBB transport and promoting effective brain targeting. Additionally, the protein corona interacted with LRP-1, which is also overexpressed in glioma cells, achieving precise tumor targeting. Computational simulations and SPR detection clarified the molecular interaction mechanism of the Nb-fibrinogen-(LRP-1) complex, confirming its binding specificity and stability. Our results demonstrated that this strategy significantly enhanced C8Pt accumulation in brain tissues and tumors, induced apoptosis in glioma cells, and improved therapeutic efficacy. This study provides a novel framework for glioma therapy and underscores the potential of protein corona modulation-based dual-targeting strategies in advancing treatments for brain tumors.

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

[Objective]Using data mining technology to explore the medication rule and clinical experience of QIU Shengliang,Chief TCM physician(referred as Chief QIU),in treating chronic atrophic gastritis(CAG)with liver and stomach Qi stagnation syndrome.[Methods]By collecting data,setting up admission and discharge standards,establishing a database,standardizing data processing,conducting frequency analysis,constructing a Chinese medicine matrix and performing clustering analysis,combined with the clinical experience of Chief QIU,it conducted analysis and induction of his medication rules for CAG of liver and stomach Qi stagnation syndrome.[Results]This study involved 162 prescriptions,171 herbs.The high-frequency drugs were:Magnolia officinalis,Fructus aurantii,ginger pinellia;Among them,the medicinal properties were mainly warm,the medicinal tastes were mainly spicy,bitter and sweet,and the channels were mainly stomach,spleen,lung and liver.The core drug group was pinellia,Magnolia officinalis and Fructus aurantii.Cluster analysis showed that the core ingredients were:ginger pinellia,Magnolia officinalis,Fructus aurantii,dandelion,galangal,knife bean,spiral flower,cuttlebone,water red flower seed,corrugated seed,hedgehog skin,bamboo shavings and wood butterfly.[Conclusion]Chief QIU is skilled in treating CAG liver and stomach Qi stagnation syndrome.He often uses warm-tonifying herbs and prescribes treatments to regulate Qi and promote Yang,with a focus on resolving stagnation,harmonizing the stomach,dispersing phlegm and eliminating lumps.He emphasizes achieving balance between Yin and Yang,promoting the interaction between rising and descending Qi,harmonizing dryness and dampness,and nurturing the body's vital energy.His prescriptions are tailored to the specific method,and the method is based on the patient's symptoms.

[Objective]To summarize the clinical experience of Dr.QIU Shengliang in treating gastro-esophageal reflux disease(GERD)through regulating Qi dynamics,providing reference for traditional Chinese medicine(TCM)syndrome differentiation and treatment of this condition.[Methods]Through clinical apprenticeships and case analysis combined with classical text research,this paper elucidates the core pathogenesis of"Qi movement disorders"in GERD.It systematically presents Dr.QIU's diagnostic framework centering on regulating Qi dynamics,focusing on spleen-stomach-liver coordination while addressing phlegm-stasis complications.The treatment protocol features flexible herbal applications tailored to syndrome patterns,supported with a representative case study.[Results]Guided by the principle of harmonizing the flow of Qi,Dr.QIU's approach integrates three therapeutic strategies:strengthening the spleen and stomach,soothing liver Qi,and resolving phlegm and blood stasis.The subsequent follow-up revealed that the patient's symptoms were effectively relieved,with no recurrence,thereby validating this method.[Conclusion]Dr.QIU's treatment system emphasizes Qi dynamics regulation as the core principle for GERD management,focusing on visceral functional balance through multi-dimensional interventions encompassing herbal therapy,dietary regulation,emotional management and exercise guidance.This holistic approach demonstrates significant clinical efficacy while embodying TCM's characteristic holistic philosophy and syndrome differentiation principles,offering valuable insights for TCM management of GERD.