OBJECTIVE To construct an intelligent pharmaceutical Q&A platform for precision medication with low “artificial intelligence （AI） hallucination”， aiming to enhance the accuracy， consistency， and traceability of medication consultations. METHODS Medication package inserts were batch-processed and converted into structured data through Python programming to build a local pharmaceutical knowledge base. The retrieval and question-answering processes were designed based on large language models， and system integration and localized deployment were completed on Dify platform. By designing typical clinical medication questions and comparing the output of the intelligent pharmaceutical Q&A platform with the online version of DeepSeek across dimensions such as peak time retrieval， half-life， and dosage adjustment reasoning for patients with renal impairment， the accuracy and reliability of its retrieval and reasoning results were evaluated. RESULTS The intelligent pharmaceutical Q&A platform， constructed based on local drug package inserts， achieved 100% accuracy in retrieval and reasoning for peak time， half-life， and dosage adjustment schemes. In comparison， the online version of DeepSeek demonstrated accuracies of 30%（6/20）， 50%（10/20）， and 38%（23/60） across these three dimensions， respectively. CONCLUSIONS The constructed intelligent pharmaceutical Q&A platform is capable of accurately retrieving and extracting information from the local knowledge base based on clinical inquiries， thereby avoiding the occurrence of AI hallucinations and providing reliable medication decision support for healthcare professionals.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

BACKGROUND:The stress effect of autophagy on epithelial cells,fibroblasts and myofibroblasts is closely related to the formation process of pulmonary fibrosis.OBJECTIVE:To screen the genes related to autophagy in patients with pulmonary fibrosis,and explore their correlation with the prognosis of patients with pulmonary fibrosis,in order to provide a new target for clinical intervention in pulmonary fibrosis.METHODS:The gene expression profiling dataset downloaded from GSE70866 was used as a training set,differentially expressed genes between pulmonary fibrosis patients and normal healthy individuals was analyzed using the R language and intersected with autophagy-related genes to identify the differentially expressed genes with the most significant changes.Multiple analysis methods were used to identify key prognostic genes and construct genetic prognostic models.Patients with pulmonary fibrosis were divided into high-risk and low-risk groups according to their risk scores,and the validity of the prognostic model was verified using the Siena cohort and Leuven cohort validation sets.A cell model of pulmonary fibrosis was established by inducing HFL-1 cells(human embryonic lung fibroblasts)with transforming growth factor-β1,and an animal model of pulmonary fibrosis was established in mice by tracheal instillation of bleomycin to validate the expressions of prognostic genes.RESULTS AND CONCLUSION:(1)There were 2 650 differentially expressed genes between fibrotic tissue and normal tissue.Among them,34 genes related to autophagy showed significant expression changes.(2)Kaplan-Meier survival analysis curves for the Siena cohort and Leuven cohort validation sets showed significantly lower survival in the high-risk group than in the low-risk group.(3)Three autophagy genes related to prognosis were screened out:myelocytomatosis viral oncogene(MYC),C-C motif chemokine ligand 2(CCL2),and GABA type a receptor associated protein like 1(GABARAPL1).(4)Both in vivo and in vitro studies showed that compared with the control group,the expression levels of myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 mRNA and protein were significantly higher in the lung fibrosis model group(P＜0.01,P＜0.05),while the expression levels of GABA type a receptor associated protein like 1 mRNA and protein were lower(P＜0.001).To conclude,bioinformatics methods are used to analyze the expression of three autophagy-related genes in pulmonary fibrosis and their correlation with the prognosis of patients with pulmonary fibrosis.The constructed prognostic model has good predictive ability for the 1-,2-,and 3-year survival rates of patients with pulmonary fibrosis.Moreover,in vivo and in vitro models have been used to verify that myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 are highly expressed in lung fibroblasts and tissues,and that GABA type a receptor associated protein like 1 is lowly expressed.

BACKGROUND:The stress effect of autophagy on epithelial cells,fibroblasts and myofibroblasts is closely related to the formation process of pulmonary fibrosis.OBJECTIVE:To screen the genes related to autophagy in patients with pulmonary fibrosis,and explore their correlation with the prognosis of patients with pulmonary fibrosis,in order to provide a new target for clinical intervention in pulmonary fibrosis.METHODS:The gene expression profiling dataset downloaded from GSE70866 was used as a training set,differentially expressed genes between pulmonary fibrosis patients and normal healthy individuals was analyzed using the R language and intersected with autophagy-related genes to identify the differentially expressed genes with the most significant changes.Multiple analysis methods were used to identify key prognostic genes and construct genetic prognostic models.Patients with pulmonary fibrosis were divided into high-risk and low-risk groups according to their risk scores,and the validity of the prognostic model was verified using the Siena cohort and Leuven cohort validation sets.A cell model of pulmonary fibrosis was established by inducing HFL-1 cells(human embryonic lung fibroblasts)with transforming growth factor-β1,and an animal model of pulmonary fibrosis was established in mice by tracheal instillation of bleomycin to validate the expressions of prognostic genes.RESULTS AND CONCLUSION:(1)There were 2 650 differentially expressed genes between fibrotic tissue and normal tissue.Among them,34 genes related to autophagy showed significant expression changes.(2)Kaplan-Meier survival analysis curves for the Siena cohort and Leuven cohort validation sets showed significantly lower survival in the high-risk group than in the low-risk group.(3)Three autophagy genes related to prognosis were screened out:myelocytomatosis viral oncogene(MYC),C-C motif chemokine ligand 2(CCL2),and GABA type a receptor associated protein like 1(GABARAPL1).(4)Both in vivo and in vitro studies showed that compared with the control group,the expression levels of myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 mRNA and protein were significantly higher in the lung fibrosis model group(P＜0.01,P＜0.05),while the expression levels of GABA type a receptor associated protein like 1 mRNA and protein were lower(P＜0.001).To conclude,bioinformatics methods are used to analyze the expression of three autophagy-related genes in pulmonary fibrosis and their correlation with the prognosis of patients with pulmonary fibrosis.The constructed prognostic model has good predictive ability for the 1-,2-,and 3-year survival rates of patients with pulmonary fibrosis.Moreover,in vivo and in vitro models have been used to verify that myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 are highly expressed in lung fibroblasts and tissues,and that GABA type a receptor associated protein like 1 is lowly expressed.

Asthma is a chronic inflammatory respiratory disease involving multiple cells and cellular components， characterized by recurrent episodes of wheezing， shortness of breath， chest tightness， and coughing， significantly impacting patients' quality of life. The phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway， as a crucial hub in intracellular signaling， is widely involved in the regulation of cell growth， proliferation， survival， metabolism， and a series of pathophysiological processes. Its regulatory role in the pathological progression of asthma is particularly significant， specifically in promoting airway inflammation， mediating epithelial mesenchymal transition， accelerating airway remodeling， regulating cell autophagy， inducing mucus hypersecretion， and influencing immune response balance. This study analyzed potential molecular targets of the PI3K/Akt pathway， including activators such as cysteine proteinase inhibitor 1（CST1）， found in inflammatory zone 1（FIZZ1） and free fatty acid receptor 1（FFAR1）， and inhibitors such as human β-defensin-3（hBD-3）， disintegrins， metalloproteinase 33（ADAM33） and interleukin-27（IL-27）， and initially revealed the potential molecular mechanisms of traditional Chinese medicine（TCM） in asthma intervention. Based on this， the authors systematically summarized the efficacy and specific mechanisms of TCM monomers， compounds， and external treatments for asthma by regulating the PI3K/Akt signaling pathway through literature review and analysis， aiming at establishing a robust foundation for the wide application and advanced development of TCM in asthma treatment， offering innovative insights for clinical research and drug development of asthma.

Asthma is a chronic inflammatory respiratory disease involving multiple cells and cellular components， characterized by recurrent episodes of wheezing， shortness of breath， chest tightness， and coughing， significantly impacting patients' quality of life. The phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway， as a crucial hub in intracellular signaling， is widely involved in the regulation of cell growth， proliferation， survival， metabolism， and a series of pathophysiological processes. Its regulatory role in the pathological progression of asthma is particularly significant， specifically in promoting airway inflammation， mediating epithelial mesenchymal transition， accelerating airway remodeling， regulating cell autophagy， inducing mucus hypersecretion， and influencing immune response balance. This study analyzed potential molecular targets of the PI3K/Akt pathway， including activators such as cysteine proteinase inhibitor 1（CST1）， found in inflammatory zone 1（FIZZ1） and free fatty acid receptor 1（FFAR1）， and inhibitors such as human β-defensin-3（hBD-3）， disintegrins， metalloproteinase 33（ADAM33） and interleukin-27（IL-27）， and initially revealed the potential molecular mechanisms of traditional Chinese medicine（TCM） in asthma intervention. Based on this， the authors systematically summarized the efficacy and specific mechanisms of TCM monomers， compounds， and external treatments for asthma by regulating the PI3K/Akt signaling pathway through literature review and analysis， aiming at establishing a robust foundation for the wide application and advanced development of TCM in asthma treatment， offering innovative insights for clinical research and drug development of asthma.

ObjectiveTo establish preliminary diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients and provide a basis for standardized diagnosis and treatment of ischemic stroke. MethodsRelevant literature on the diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients was retrieved， and data were mined and extracted to form an item pool. Based on the formation of the item pool， this study used the Delphi method to initiate two rounds of questionnaire surveys with selected experts to complete the initial screening of items and the discrimination of symptom importance. A prospective clinical investigation method was adopted to collect clinical information from patients， and statistical analysis methods and data mining techniques were comprehensively used to determine their primary and secondary symptoms. Based on the clear main and secondary symptoms identified， combined with expert group discussions， the study established preliminary diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients. ResultsA total of 25 relevant syndrome differentiation standards were included. After splitting， standardizing， and screening the items， the study established a pool of 48 items. The first round of questionnaire survey consulted 30 experts， with both the positive coefficient of experts and the effectiveness rate of the questionnaire reaching 100%. The Kendall's coefficient of concordance was 0.359. According to the item screening criteria， 26 items were retained in this round of questionnaire survey. A total of 176 cases were collected through clinical information investigation， including 94 cases with spleen and kidney deficiency syndrome and 82 cases without spleen and kidney deficiency syndrome. The statistical results were as follows： ① Descriptive statistics： The main symptoms with a frequency of ≥ 30% included mental fatigue and lack of strength， weakness of the lower back and knees， etc. The secondary symptoms with a frequency of ≥ 10% and ≤ 30% were lassitude and disinclination to talk， shortness of breath， etc. ② Binary logistic regression analysis： The main symptoms with an odds ratio （OR） value of ≥ 3 were mental fatigue and lack of strength， weakness of the lower back and knees， etc. The secondary symptoms with an OR value of ≥ 1 and ≤ 3 were lassitude and disinclination to talk， shortness of breath， etc. Artificial neural network： The main symptoms with a weight value（W_ij）of ≥ 0.5 and < 1 were mental fatigue and lack of strength， lassitude and disinclination to talk， etc. The secondary symptoms with W_ij of ≥ 0.3 and < 0.5 were shortness of breath， flaccid limbs， etc. In the second round of questionnaire survey， a total of 37 experts were consulted， with both the positive coefficient of experts and the effectiveness rate of the questionnaire reaching 100%. The Kendall's coefficient of concordance was 0.237. According to the criteria to determine primary and secondary symptoms based on the Delphi method， the main symptoms included in this round of the questionnaire were mental fatigue and lack of strength， lassitude and disinclination to talk， etc.， and the secondary symptoms were shortness of breath， dizziness， etc. ConclusionThe main symptoms of spleen and kidney deficiency syndrome in ischemic stroke patients are mental fatigue and lack of strength， weakness of the lower back and knees， loose stool， pale and edematous tongue texture possibly with tooth marks， and deep and thready pulse or weak pulse. The secondary symptoms include shortness of breath， dizziness， tinnitus and deafness， decreased appetite or postprandial abdominal distension， pale complexion， frequent micturition at night， dull tongue texture， and white and slippery tongue coating. The preliminarily established diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients can provide a standardized and objective basis， thereby better guiding clinical diagnosis and treatment of ischemic stroke.

This article systematically analyzes the historical evolution of the name， origin， quality evaluation， harvesting， processing and other aspects of Picrorhizae Rhizoma by referring to the medical books， prescription books， and other documents of the past dynasties， combined with relevant modern research materials， in order to provide a basis for the development and utilization of famous classical formulas containing this medicinal herb. The research results indicate that Picrorhizae Rhizoma was first recorded in New Revised Materia Medica from the Tang dynasty. Throughout history， Huhuanglian has been used as its official name， and there are also aliases such as Gehu Luze， Jiahuanglian and Hulian. The main source of past dynasties is the the rhizomes of Picrorhiza kurrooa and P. scrophulariiflora. In ancient times， Picrorhizae Rhizoma was mainly imported by foreign traders via Guangzhou and other regions， and also produced in China， mainly in Xizang. In ancient times， it was harvested and dried in early August of the lunar calendar， while in modern times， it is mostly harvested from July to September， with the best quality being those with thick and crispy rhizomes without impurities， and bitter taste. Throughout history， Picrorhizae Rhizoma was collected， washed， sliced， and dried before being used as a raw material for medicine， it has a bitter and cold taste， mainly used to treat bone steaming， hot flashes， infantile chancre fever， and dysentery. There is no significant difference in taste and efficacy between ancient and modern times. Based on the research results， it is recommended that the rhizomes of P. scrophulariiflora in the 2020 edition of Chinese Pharmacopoeia， or the rhizomes of P. kurrooa， can be used in famous classical formulas containing this medicinal herb， which can be processed according to the processing requirements marked by the original formula. For those without clear processing requirements， the dried raw products are used as medicine.

Objective:To investigate the effect of childhood trauma on non-suicidal self-injury (NSSI) behavior in patients with depression.Method:Embase, PubMed, Cochrane Library, PsycINFO, China National Knowledge Infrastructure, Wanfang Data and China Biology Medicine dis were searched from inception to March 2024 for cross-sectional, case-control and cohort studies on childhood trauma and NSSI in patients with depression. Two researchers independently screened studies, extracted data, and assessed quality. The effect indicators were the odds ratio ( OR) of childhood trauma and school bullying to NSSI in the depressed population and the mean difference ( MD) of the childhood trauma subscale scores between the depressed population with and without NSSI. Meta-analysis was performed using Review Manager 5.3 and Stata17 software. Results:A total of 29 articles with 5 095 depressed patients were included. Childhood trauma was significantly associated with NSSI in patients with depression ( OR=2.91, 95% CI=2.01-4.21). Various forms of childhood trauma were related to NSSI behaviors in depressive patients: physical abuse ( MD=0.77, 95% CI=0.47-1.06), emotional abuse ( MD=2.99, 95% CI=2.10-3.88), physical neglect ( MD=1.17, 95% CI=0.47-1.87), emotional neglect ( MD=2.59, 95% CI=1.82-3.36), and sexual abuse ( MD=0.35, 95% CI=0.19-0.51). Additionally, school bullying among extra-family factors was identified as a risk factor for NSSI ( OR=2.16, 95% CI=1.46-3.18). Conclusion:Childhood trauma is a risk factor for NSSI behaviors in patients with depression. Different types of childhood trauma within the family, including various forms of abuse and neglect, and school bullying outside the family are related to NSSI behaviors in this population.