Objective: To investigate the potential therapeutic mechanisms of kaempferol , an active component in the traditional Chinese medicine gardenia , for lung cancer treatment using a network pharmacology approach . Methods: The main active ingredients and potential targets of Gardenia jasminoides were obtained through the Tra⁃ditional Chinese Medicine Pharmacology Database and Analysis Platform (TCMSP) , and combined with the lung cancer related target information collected from Gene Cards and OMIM databases , the intersection targets of Garde⁃nia jasminoides and lung cancer treatment were determined by drawing Venn diagrams . Further screening of core targets was conducted through PPI network analysis , and gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes ( KEGG) pathway enrichment analysis were performed using the Metascape platform . Auto dock software was used to evaluate the binding affinity between the active ingredients of Gardenia jasminoides and target proteins . In terms of experiments , cell proliferation ability was evaluated through CCK⁃8 assay , cell migration and invasion ability were detected through cell scratch healing assay and Transwell assay , and the expression levels of epithelial mesenchymal transition ( EMT) protein and inflammatory factors were detected by Western blot and RT⁃qPCR . Results: The active ingredient kaempferol in Gardenia jasminoides exhibited significant binding ability invasion of lung cancer cells . The results of Western blot and RT⁃qPCR further confirmed that kaempferol could promote an increase in E ⁃cadherin , a decrease in N ⁃cadherin and Vimentin , and reduce the expression of inflam⁃matory factors . Conclusion The active ingredient of Gardenia jasminoides , kaempferol , inhibits the proliferation ,migration and invasion of lung cancer cells by targeting BCL⁃2 , while reversing EMT progression and suppressing the expression levels of inflammatory cytokines in lung cancer cells , thus preventing lung cancer progression .

BACKGROUND:As an essential trace non-metallic element in the human body,selenium has been widely used in the biomedical field due to its potential anti-inflammatory,antioxidant,antibacterial,immunomodulatory,anti-tumor and other biological activities.OBJECTIVE:To summarize the anti-inflammatory,antioxidant,antibacterial,immunomodulatory,and anti-tumor effects and mechanisms of selenium and selenium nanoparticles,and research progress in the field of stomatology.METHODS:Literature searches were conducted on PubMed,CNKI,and WanFang databases using Chinese and English search terms"selenium,selenium nanoparticles,oral neoplasms,caries,dental pupal disease,periapical disease,dental implant."The searched relevant articles were published from January 2000 to February 2024.After thoroughly analyzing and reading,74 articles were ultimately included for review.RESULTS AND CONCLUSION:(1)The biological characteristics of selenium are mainly achieved through the synthesis of selenoproteins,with antioxidant mechanisms as the core,regulating various cytokines and mediating related signaling pathways,thereby producing antibacterial,immune regulatory,and antitumor effects.(2)In addition to being used for early diagnosis,treatment,and postoperative judgment in oral cancer,caries,pulp and periapical diseases,selenium can also be used as a new type of material in the oral field.For example,it can be used to develop new dental sealants or root canal system disinfectants.Besides,it has a promoting effect on optimizing the performance of oral implant materials.(3)One of the most significant factors that affect the application of selenium in the field of biomedicine is biological safety.Only by selecting the appropriate dosage and form can it maximize its effects.Selenium has also shown great potential for application as well as broad development space in oral materials science.

BACKGROUND:As an essential trace non-metallic element in the human body,selenium has been widely used in the biomedical field due to its potential anti-inflammatory,antioxidant,antibacterial,immunomodulatory,anti-tumor and other biological activities.OBJECTIVE:To summarize the anti-inflammatory,antioxidant,antibacterial,immunomodulatory,and anti-tumor effects and mechanisms of selenium and selenium nanoparticles,and research progress in the field of stomatology.METHODS:Literature searches were conducted on PubMed,CNKI,and WanFang databases using Chinese and English search terms"selenium,selenium nanoparticles,oral neoplasms,caries,dental pupal disease,periapical disease,dental implant."The searched relevant articles were published from January 2000 to February 2024.After thoroughly analyzing and reading,74 articles were ultimately included for review.RESULTS AND CONCLUSION:(1)The biological characteristics of selenium are mainly achieved through the synthesis of selenoproteins,with antioxidant mechanisms as the core,regulating various cytokines and mediating related signaling pathways,thereby producing antibacterial,immune regulatory,and antitumor effects.(2)In addition to being used for early diagnosis,treatment,and postoperative judgment in oral cancer,caries,pulp and periapical diseases,selenium can also be used as a new type of material in the oral field.For example,it can be used to develop new dental sealants or root canal system disinfectants.Besides,it has a promoting effect on optimizing the performance of oral implant materials.(3)One of the most significant factors that affect the application of selenium in the field of biomedicine is biological safety.Only by selecting the appropriate dosage and form can it maximize its effects.Selenium has also shown great potential for application as well as broad development space in oral materials science.

The 19 th Chinese Symposium of Burns and Wounds was successfully held in Foshan of Guangdong Province from June 20 th to 22 nd in 2024. There were more than 700 delegates attending the academic event. The theme of the congress was expansion, integration and standardization, which could promote academic exchanges, multi-disciplinary fusion, and standardization of clinical treatment of burns and wounds. A total of nearly 200 famous experts and scholars had their speeches on the two-day keynote forum and special academic seminars including critical care, wound repair, scar prevention and treatment, rehabilitation nursing, and disciplinary integration sessions. The congress ended successfully with abundant fruits and friendship.

Purpose/Significance To construct a named entity corpus of traditional Chinese medicine(TCM)ancient records,and to improve the recognition accuracy and applicability of the general domain named entity recognition(NER)model in the field of TCM ancient records.Method/Process Annotation standards for entities in TCM ancient records are formulated,and 2 384 Xin'an medical records are annotated.A RoBERTa-BiLSTM-CRF model is developed,and word vectors with semantic features are generated using the RoBERTa pre-trained language model.The BiLSTM-CRF model is used to learn the global semantic features of sequences and decode and output the optimal label sequence.Dictionary and rule features are incorporated to enhance the model's capability to recognize entity boundaries and categories.Result/Conclusion The model shows a good recognition effect on the named entity corpus of Xin'an medical cases.Integration of domain terminology dictionaries and rule-based features improves the overall Fl score to 72.8％.

OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.

Objective:To analyze and summarize the clinical characteristics of mpox patients, thereby to rise clinicians′ awareness of severe mpox and provide a foundation for clinical diagnosis and treatment.Methods:The clinical data were retrospectively analyzed in 41 mpox patients treated at the Beijing You′an Hospital, Capital Medical University, from June to November 2023. Patients were categorized into mild and severe cases based on clinical manifestations, and laboratory results of the two groups were compared. Statistical analysis was performed using the Mann-Whitney U test. Results:The clinical manifestations of 41 mpox patients mainly included fever, rash and lymphadenopathy. Five patients with severe mpox might develop serious complications, including bacterial pneumonia, type Ⅰ respiratory failure, fungal infections, penile or perianal dry gangrene, penile soft tissue edema, intestinal obstruction, septic shock, perianal abscess, and necrotizing fasciitis. Patients with severe mpox had significantly higher white blood cell count (WBC), neutrophil count and C-reactive protein (CRP) level compare to those with mild cases (14.60(9.92, 24.08)×10 9/L vs 6.41(5.64, 8.37)×10 9/L, 12.43(7.02, 21.15)×10 9/L vs 3.35(2.46, 5.03)×10 9/L, 108.20(56.20, 124.10) mg/L vs 16.6(6.25, 49.98) mg/L), while the albumin level and CD4 + T lymphocyte count in the severe group were significantly lower compared to the mild cases (31.80(22.90, 35.15) g/L vs 44.70(42.90, 47.40) g/L, 24.00(12.00, 81.50)/μL vs 606.00(414.50, 767.50)/μL)). All these differences were statistically significant ( U=2.81, 3.02, 2.98, 3.56 and 3.26, respectively, all P<0.01). Conclusions:In clinical practice, clinicians should be vigilant for the possibility of severe mpox if patients exhibit a significant increase of WBC and CRP, a significant decrease in CD4 + T lymphocyte count, or if they develop severe complications.

OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.

Objective To understand the characteristics of long-working hours exposure of medical staff,and analyze the impact of long-working hours exposure on mental health problems such as occupational stress,depression,fatigue accumulation,and insomnia.Methods The cluster random sampling method was used to select the medical staff of 12 tertiary general hospitals in Guangdong Province as the research subjects,and the"Core Scale of Occupational Stress Measurement"and other scales were used to evaluate their occupational mental health.Results The average working hours of medical staff per day were(8.99±2.18)h;2,094 people were exposed during long working hours,accounting for 78.96%.The results of binary logistics regression analysis showed that after excluding the influence of sociodemographic factors such as age,long working hours(weekly working hours greater than 40 h)were the risk factors for occupational stress,depressive symptoms and fatigue accumulation of medical staff(P<0.01),and the longer the working week,the higher the risk of occupational stress,depressive symptoms and fatigue accumulation.Weekly working hours greater than 48 hours are risk factors for insomnia(P<0.01).Conclusion Long working hours are common among delivery workers on food delivery platforms,and long working hours are a risk factor for occupational tension and fatigue.

Objective:The nasal swell body（NSB） consists of the nasal septal cartilage, nasal bone, and swollen soft tissue, all of which are visible during endoscopic and imaging examinations. Although the function of the NSB remains uncertain, there is evidence to suggest that it plays a vital role in regulating nasal airflow and filtering inhaled air. Based on anatomical and histological evidence, it is hypothesized that the NSB is indispensable in these processes. This study aims to investigate the impact of NSB on nasal aerodynamics and the deposition of allergen particles under physiological conditions. Methods:The three-dimensional （3D） nasal models were reconstructed from computed tomography （CT） scans of the paranasal sinus and nasal cavity in 30 healthy adult volunteers from Northwest China, providing basis for the construction of models without NSB following virtual NSB-removal surgery. To analyze the distribution of airflow in the nasal cavity, nasal resistance, heating and humidification efficiency, and pollen particle deposition rate at various anatomical sites, we employed the computed fluid dynamics（CFD） method for numerical simulation and quantitative analysis. In addition, we created fully transparent segmented nasal cavity models through 3D printing, which were used to conduct bionic experiments to measure nasal resistance and allergen particle deposition. Results:①The average width and length of the NSB in healthy adults in Northwest China were （12.85±1.74） mm and （28.30±1.92） mm, respectively. ②After NSB removal, there was no significant change in total nasal resistance, and cross-sectional airflow velocity remained essentially unaltered except for a decrease in topical airflow velocity in the NSB plane. ③There was no discernible difference in the nasal heating and humidification function following the removal of the NSB; ④After NSB removal, the deposition fraction（DF） of Artemisia pollen in the nasal septum decreased, and the DFs post-and pre-NSB removal were（22.79±6.61）% vs （30.70±12.27）%, respectively; the DF in the lower airway increased, and the DFs post-and pre-NSB removal were（24.12±6.59）% vs （17.00±5.57）%, respectively. Conclusion:This study is the first to explore the effects of NSB on nasal airflow, heating and humidification, and allergen particle deposition in a healthy population. After NSB removal from the healthy nasal cavities: ①nasal airflow distribution was mildly altered while nasal resistance showed no significantly changed; ②nasal heating and humidification were not significantly changed; ③the nasal septum's ability to filter out Artemisia pollen was diminished, which could lead to increased deposition of Artemisia pollen in the lower airway.
Adult ; Humans ; Cross-Sectional Studies ; Nasal Cavity/surgery* ; Allergens ; Pollen ; Artemisia ; Hydrodynamics