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.

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.

Juvenile dermatomyositis(JDM) is the most common idiopathic inflammatory myopathy in children, characterized by symmetric proximal muscle weakness and characteristic skin rashes, which may be accompanied by involvement of major organs. Aberrant upregulation of the interferon signaling pathway has been confirmed as the core pathological mechanism of JDM, and is closely associated with mitochondrial dysfunction, peripheral blood immune cell dysregulation, muscle damage and repair dysfunction, as well as cutaneous and pulmonary lesions. Interferon-related biomarkers and interferon scores can serve as evaluation indicators for disease activity. Type Ⅰ interferon inhibitors and Janus kinase inhibitors provide new therapeutic options for refractory JDM. This review systematically summarizes the role of the interferon signaling pathway in the pathogenesis of JDM and its potential therapeutic targets, aiming to provide references for the mechanistic research and precise treatment of JDM.

The increasing trend of multidrug-resistant organism(MDRO)infection in rehabilitation medical insti-tutions has become one of the major challenges in the global public health field.On one hand,this is due to the fact that rehabilitation patients themselves have a variety of susceptibility factors,such as older age,complex underlying diseases,low immune function,long length of hospital stay,and frequent use of antimicrobial agents in the early stage;on the other hand,the improper implementation of prevention and control measures in rehabilitation medical institutions also provides opportunities for the spread of MDRO.This paper reviews domestic and foreign research literatures,summarizes the current status of MDRO infection and progress in prevention and control measures in re-habilitation medical institutions,hoping to reduce the risk of infection in patient and improve the quality of medical care.

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.

Objective:To explore the fatigue status and its influencing factors in acute coronary syndrome (ACS) patients after percutaneous coronary intervention (PCI) .Methods:This study is a cross-sectional study. A convenient sampling method was used to select 98 ACS patients who underwent PCI in the Department of Cardiology at China-Japan Union Hospital of Jilin University in February 2024. A general data questionnaire and the Multidimensional Fatigue Inventory-20 (MFI-20) were used to investigate the patients.Results:The total score of MFI-20 for the 98 ACS patients post-PCI was (57.38±15.14). Multiple linear regression analysis showed that hypertension was influencing factor of fatigue in ACS patients after PCI ( P<0.05) . Conclusions:The fatigue level of ACS patients after PCI is at a moderate level. The degree of fatigue is influenced by hypertension. Clinical targeted nursing measures should be implemented to alleviate the fatigue of the patients.

Objective:To investigate the mediating effect of psychological stress between sleep disorder and fatigue in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) .Methods:Convenience sampling was used to select 305 ACS patients with PCI from August to September 2024 in China-Japan Union Hospital of Jilin University. General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Symptom Checklist 90 (SCL-90), and Pittsburgh Sleep Quality Index (PSQI) were used to survey the patients at discharge, and one month after discharge.Results:The MFI-20, SCL-90, and PSQI scores at discharge of 305 patients with PCI for ACS were (59.27±18.33), (141.09±49.08), and (10.72±4.95), respectively. The MFI-20, SCL-90, and PSQI scores at one month after discharge were (55.58±19.28), (134.08±44.29), and (9.17±5.20), respectively. Mediating effect analysis showed that at discharge, the direct effect of sleep disorder on fatigue was 0.403, the mediating effect was 0.216, and the total effect was 0.619, with the mediating effect accounting for 34.89% of the total effect. One month after discharge, the direct effect of sleep disorder on fatigue was 0.385, the mediating effect was 0.355, and the total effect was 0.740, with the mediating effect accounting for 47.97% of the total effect.Conclusions:Psychological stress plays a mediating role between sleep disorder and fatigue at different time points in ACS patients undergoing PCI. Clinical attention should be paid to sleep disorders and psychological stress of ACS patients undergoing PCI, so as to improve their fatigue.