A 42-year-old male with chest tightness and dyspnea was admitted to the hospital. Chest CT indicated diffuse interstitial lung infiltration. Despite receiving anti-infective therapy, glucocorticoid therapy, and immunosuppressive agents, the patient developed refractory hypoxaemia. Endotracheal intubation and invasive mechanical ventilation failed to improve oxygenation. Therefore the patient was diagnosed with rapidly progressive interstitial lung disease (RP-ILD) accompanied by type Ⅰ respiratory failure. Veno-venous (VV) extracorporeal membrane oxygenation (ECMO) was initiated, and oxygenation improved in this patient. The patient subsequently underwent bilateral lung transplantation with veno-arterio-venous (VAV) ECMO support. ECMO machine was withdrawn on day 1, and extubation was achieved on day 9 after surgery. Histopathology revealed fibrotic nonspecific interstitial pneumonia (NSIP) with hyaline membrane formation. The patient developed ICU-acquired myasthenia and received early rehabilitation, with gradual recovery of muscle strength. During follow-up, graft lung function remained stable. This case demonstrates that ECMO can serve as a bridge to lung transplantation in RP-ILD patients.

ObjectiveTo dynamically observe and evaluate the damage to the pulmonary air-blood barrier in mice during the inflammatory cancer transformation process of ulcerative colitis （UC） based on the "lung-intestine correlation" theory. MethodsSixty-five C57BL/6 mice were divided into a normal group （n=25） and a model group （n=40） using a random number table. Azoxymethane/dextran sodium sulfate （DSS） method was used to establish a mouse model of UC inflammation cancer transformation in the modeling group. According to the tissue collection time points at 5， 8， 11， 13， and 15 weeks， the normal group mice were randomly divided into the normal 5w， 8w， 11w， 13w， and 15w groups. The model group mice， 10 mice of which died after the first cycle of DSS administration， were randomly divided into model 5w， 8w， 11w， 13w， and 15w groups. During the experiment， the general condition of the mice was observed daily， and their body weight was measured weekly. At the corresponding tissue collection time points， the colon length of each group was measured. Histopathology of mouse lung and colon tissues was examined using HE staining. Immunofluorescence was used to detect changes in the positive expression of tight junction protein （ZO-1）， vascular endothelial cadherin （VE-cadherin）， and cytoskeletal protein （F-actin） in lung and colon tissues. RT-PCR was used to detect the mRNA expression of apoptosis regulatory proteins B-cell lymphoma-2 （Bcl-2）， BCL2-associated X protein （Bax）， and Cysteine aspartic acid protease-3 （Caspase-3） in lung tissues. Western Blot was employed to measure protein levels of ZO-1， VE-cadherin， and F-actin in lung tissues. ResultsCompared to the normal group at the same time point， the mice in the model group at each time point generally had poorer conditions， with weight loss and shortened colon length （P＜0.05 or P＜0.01）. In the model 5w group， there was significant inflammatory cell infiltration in the colon tissue； in the model 8w group， there was mild atypical hyperplasia； in the model 11w group， the crypt structure was disordered， and moderate to severe atypical hyperplasia occurred； in the model 13w and 15w groups， tumors appeared. Pulmonary interstitial lesions， inflammation， vasculitis， and fibrosis were observed at all stages of UC inflammation cancer transformation. The protein levels of ZO-1， VE-cadherin， and F-actin， as well as Bcl-2 mRNA expression in lung tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period， while the expressions of Bax and Caspase-3 mRNA increased； the expressions of ZO-1， VE-cadherin， and F-actin proteins in colon tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period （P＜0.01 or P＜0.05）. Compared to the model 5w group， the ZO-1 and F-actin protein levels and Bcl-2 mRNA expression in lung tissue in the other model groups increased in the atypical hyperplasia period and canceration period， while the expressions of Bax and Caspase-3 mRNA decreased； the expression of ZO-1 protein in colon tissue increased in the canceration period， and the expression of VE-cadherin protein decreased in the atypical hyperplasia period （P＜0.01 or P＜0.05）. ConclusionIn the process of "inflammatory response-atypical hyperplasia-carcinogenesis" in UC inflammatory cancer transformation mice， there were damage to air-blood barrier.

ObjectiveTo investigate the effects of Qizhujianwei granules （QZJW） on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia （GIN） and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine （MNNG）， ranitidine， irregular feeding patterns， and sodium salicylate. Except for the normal group， after successful modeling， the rats were randomly divided according to body weight into a model group， a Moluodan group （0.55 g·kg^-1）， and a QZJW group （7.34 g·kg^-1）， with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of pepsinogenⅠ （PGⅠ）， pepsinogenⅡ （PGⅡ）， and gastrin （G-17）， as well as the expression level of transforming growth factor-β₁ （TGF-β₁） in gastric mucosal tissue， and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry （IHC） was used to detect the localization and expression levels of proliferating cell nuclear antigen （Ki-67） and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A （Wnt3a）， β-catenin， CyclinD₁， proto-oncogene Cmyc， transforming growth factor-β receptor Ⅰ （TGFβRⅠ）， intracellular signaling transducers Smad2/3， phosphorylated （p）-Smad2/3， twist family transcription factor （Twist1）， and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group， the model group showed characteristic changes including dim eyes， pale ears and claws， dark-red tongue， and reduced luster of the tail. The gastric mucosa appeared pale， with surface congestion and erosion. The gastric mucosal glands were disordered， the nuclear-to-cytoplasmic ratio increased， and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased （P<0.01）， while the level of G-17 was significantly increased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly increased （P<0.05， P<0.01）， whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased （P<0.05）. Compared with the model group， the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased （P<0.05， P<0.01）， while the level of G-17 was significantly decreased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly decreased （P<0.05， P<0.01）. ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile， it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β₁/Smad/Twist1 signaling pathway， thereby blocking the malignant progression of GIN.

ObjectiveTo investigate the effects of Qizhujianwei granules （QZJW） on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia （GIN） and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine （MNNG）， ranitidine， irregular feeding patterns， and sodium salicylate. Except for the normal group， after successful modeling， the rats were randomly divided according to body weight into a model group， a Moluodan group （0.55 g·kg^-1）， and a QZJW group （7.34 g·kg^-1）， with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of pepsinogenⅠ （PGⅠ）， pepsinogenⅡ （PGⅡ）， and gastrin （G-17）， as well as the expression level of transforming growth factor-β₁ （TGF-β₁） in gastric mucosal tissue， and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry （IHC） was used to detect the localization and expression levels of proliferating cell nuclear antigen （Ki-67） and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A （Wnt3a）， β-catenin， CyclinD₁， proto-oncogene Cmyc， transforming growth factor-β receptor Ⅰ （TGFβRⅠ）， intracellular signaling transducers Smad2/3， phosphorylated （p）-Smad2/3， twist family transcription factor （Twist1）， and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group， the model group showed characteristic changes including dim eyes， pale ears and claws， dark-red tongue， and reduced luster of the tail. The gastric mucosa appeared pale， with surface congestion and erosion. The gastric mucosal glands were disordered， the nuclear-to-cytoplasmic ratio increased， and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased （P<0.01）， while the level of G-17 was significantly increased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly increased （P<0.05， P<0.01）， whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased （P<0.05）. Compared with the model group， the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased （P<0.05， P<0.01）， while the level of G-17 was significantly decreased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly decreased （P<0.05， P<0.01）. ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile， it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β₁/Smad/Twist1 signaling pathway， thereby blocking the malignant progression of GIN.

OBJECTIVE: To develop a user-friendly visualization application for the automatic annotation of Human Phenotype Ontology (HPO) terms based on large language models and retrieval-augmented generation (RAG) technology, and to validate its performance in an authoritative case dataset. METHODS: By integrating the domestic open-source large language model DeepSeek-V3 with RAG technology, an interactive web application was deployed on the Streamlit cloud platform. Using only the latest official HPO dataset as the data source, the lightweight sentence-embedding model BAAI/bge-small-en-v1.5 was employed to construct a FAISS vector index. During the online phase, a four-step closed-loop process is automatically completed: multilingual translation, phenotype phrase extraction, RAG candidate retrieval, term mapping, and official database validation. 121 English case reports publicly released by BMJ Case Reports and Oxford Medical Case Reports (with a gold-standard HPO set of 1 794 terms) were selected for application validation. Precision, recall, and F1 score were calculated and compared horizontally with traditional dictionary tools, standalone large language models, and the similar application "RAG-HPO". Finally, replace the model with the more advanced ChatGPT-5 and evaluate its performance on the newly extracted dataset. RESULTS: An HPO term automatic annotation visualization application named PhenoRAG, based on large language models and RAG technology, was successfully developed. Users can access it directly via a web link. Across the 112 cases, a total of 2 150 HPO terms were generated; 2,064 (96.0%) were fully validated by the official database, with a hallucination rate of 1.3% and an HPO ID-name mismatch rate of 2.7%. After deduplication, 1,906 terms remained for testing. The overall precision was 63.65%, recall was 67.34%, and F1 was 65.44%, significantly outperforming traditional annotation tools (F1: 0.45-0.49, P < 0.001). Although PhenoRAG's F1 was lower than that of RAG-HPO (F1 = 0.78, P < 0.001), which relies on a manually constructed synonym database of 54 000 entries plus the HPO dataset, it requires no additional dictionary maintenance and can be used without any background in computer programming. Moreover, after switching to the GPT-5 model, PhenoRAG exhibited no hallucination rate on the new dataset, and its F1 score significantly increased (P = 0.038). CONCLUSION Without constructing a synonym database, the PhenoRAG achieved high-accuracy automatic mapping from clinical text to standard HPO terms. It features a low usage threshold, free access, and a Chinese-language interface, and can directly serve rare disease diagnosis, genetic counseling, and research scenarios in China and worldwide, warranting further clinical promotion and multicenter validation.
Humans ; Phenotype ; Biological Ontologies ; Language ; Software ; Large Language Models

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

Under the background of the Healthy China strategy， the integration of traditional Chinese medicine （TCM） into the public health emergency response system has become an important measure to enhance the capacity for coping with public health emergencies. In recent years， the role of TCM in responding to such emergencies has become increasingly prominent. Taking major emerging epidemics as an example， TCM has developed a rich theoretical system and practical experience in epidemic prevention and treatment over thousands of years， and has played a significant role in successive outbreaks with its unique advantages. Based on the concept of ''preventing disease before its onset'' and the theoretical framework of treatment based on syndrome differentiation， TCM has achieved remarkable results through early intervention and full participation in the integrated model of TCM and Western medicine， from severe acute respiratory syndrome （SARS） to corona virus disease-2019 （COVID-19）， in improving clinical symptoms and outcomes， reducing adverse reactions， and promoting recovery. From the perspective of the Healthy China strategy， this paper systematically reviews the historical development of TCM in epidemic prevention and treatment， with particular attention to recent epidemics such as SARS， influenza A （H1N1）， and COVID-19. It further examines the similarities and differences between TCM and Western medicine in responding to major emerging epidemics， as well as relevant policies related to TCM in epidemic prevention and control. In addition， it summarizes the existing problems in TCM's role in the prevention and treatment of major emerging epidemics， and explores measures to improve its rapid response capacity under the Healthy China strategy. This study not only provides a ''Chinese solution'' for the prevention and control of newly emerging infectious diseases worldwide， but also offers theoretical and practical references for strengthening the public health emergency response system， carrying strategic significance for promoting the modernization and internationalization of TCM.

The application of artificial intelligence （AI） in the medical field has significantly improved medical efficiency， yet it has also posed numerous ethical challenges. From the perspective of traditional Confucianism， this paper explored ethical challenges faced in the application of medical AI and the responses of Confucianism， elaborating on the importance of Confucianism in achieving value alignment. This paper analyzed the ethical dilemmas faced by medical AI in practical applications from four aspects， including the doctor-patient trust crisis， patient safety issues， fairness and conflict of interest， and challenges of responsibility attribution. It also explored the application of Confucianism in the ethical governance of medical AI， focusing on the analysis of how “benevolence，”“righteousness，” and role ethics deal with issues such as doctor-patient trust， patient safety， fairness， market profit-seeking， and responsibility allocation. By emphasizing the guiding role of ethical principles in technological development through the principle of “governing technology with ethics，” the achievement of the value alignment goal in medical AI can be promoted. Confucianism provides an important ethical foundation for the value alignment of medical AI. Its core concepts run through the deep integration of technology and ethics， offering unique cultural wisdom and practical solutions for AI governance on a global scale.

Objective To establish radioresistant human non-small cell lung cancer NCI-H460R model cells and evaluate the sensitivity of these radioresistant cells to a ferroptosis inducer. Methods Radioresistant cell lines, designated as NCI-H460 R20Gy and NCI-H460 R116Gy, were generated by subjecting parental NCI-H460 cells to fractionated irradiation with varying cumulative doses. Both parental cells and the established radioresistant cell lines were each randomly divided into four groups and exposed to irradiation at 0, 2, 4, and 6 Gy, respectively. Successful establishment of the radioresistant cell lines was confirmed by colony formation assay. Subsequently, cells were treated with increasing concentrations of the ferroptosis inducer RSL-3 to assess differential sensitivity between parental and radioresistant cells to ferroptosis. Results In comparison to the parental NCI-H460 cells (D_0WT=1.2), both NCI-H460 R116Gy and NCI-H460 R20Gy cells exhibited radioresistance, with NCI-H460 R116Gy demonstrating a stronger radioresistance (D_0R116Gy=1.5) than NCI-H460 R20Gy (D_0R20Gy=1.4). Furthermore, NCI-H460 R116Gy cells exhibited increased sensitivity to RSL-3 relative to the parental cells (P < 0.001), while NCI-H460 R20Gy cells did not display a significant difference in sensitivity to RSL-3. Conclusion Human non-small cell lung cancer cells with radioresistance induced by a high cumulative irradiation dose exhibit increased sensitivity to the glutathione peroxidase 4-specific ferroptosis inducer RSL-3. This finding provides an experimental basis for optimizing combined treatment regimens involving radiotherapy and RSL-3 for non-small cell lung cancer patients with radiotherapy resistance.