Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

Objective To investigate the drug resistance phenotype/genotype and virulence gene carrying status, serotype, and sequence typing (ST) of Campylobacter jejuni in Fengtai District in 2024. Methods The drug resistance phenotype was detected by agar dilution method, and serotyping was performed by real-time fluorescence quantitative polymerase chain reaction (PCR). The whole genome sequencing was used to analyze drug resistance genes, virulence genes, and other characteristics. Results Among the 35 Campylobacter jejuni strains analyzed, the antibiotics with the highest resistance rates were nalidixic acid and ciprofloxacin (both 82.86%), followed by tetracycline (74.89%). All strains exhibited a 100.00% sensitivity rate to erythromycin. The multiple drug resistance rate was 77.14%. The predominant drug resistance genes were gyrA-T86I (94.29%) and tetO (74.29%). The most common serotype was HS:2, accounting for 25 strains. A total of 132 virulence genes were detected. There were 12 clonal complexes (CC) and 24 ST types. Conclusion The drug resistance situation of Campylobacter jejuni in Fengtai District is relatively severe, and the drug resistance phenotype is related to specific genetic mutations to some extent. The serotypes are diverse, the virulence genes are complex, and the pathogenic potential is significant, posing a notable risk for inducing Guillain-Barré syndrome (GBS). The high number of ST types indicates substantial genetic diversity.

ObjectiveTo construct B cell conditional knockout Spi1 gene mice and analysis their genotypes to provide an animal model basis for disease pathogenesis and drug target research. MethodsMb1-cre transgenic mice were crossed with Spi1^flox/flox mice. PCR combined with agarose gel electrophoresis was performed for genotyping， and Mb1-cre×Spi1^flox/flox homozygous knockout mice were screened out. Flow cytometry was used to detect the expression of PU.1 protein in various immune cell subsets to verify the specificity of gene knockout. ResultsPCR identification results showed that when using flox primers for detection， only a 220 bp band was amplified， indicating a genotype of Spi1^flox/flox in the mice. When using Mb1-Cre primers for detection， a 383 bp band was amplified， indicating a genotype of Mb1-cre×Spi1^flox/flox in the mice； Flow cytometry results showed that compared to Spi1^flox/flox mice， Mb1-cre×Spi1^flox/flox mice exhibited significantly reduced PU.1 expression levels in bone marrow-derived mononuclear cells， peripheral blood mononuclear cells， and spleen-derived B cells. Moreover， PU.1 exhibited normal expression in other immune cells， such as CD4⁺ T cells and macrophages. ConclusionBy utilizing the Cre/LoxP system and CRISPR/Cas9 technology， this study successfully generates mice with B cell-specific conditional knockout of the Spi1 gene， providing a reliable animal model for in-depth exploration of the specific role of PU.1 in B cell-related diseases.

Objective:To investigate the factors influencing the delayed onset of intrapartum fever following epidural labor analgesia and their impact on maternal and neonatal outcomes.Methods:Select parturients who experienced intrapartum fever following labor analgesia(T≥38.0℃,age≥18 years,singleton pregnancy,ASA classification Ⅱ)between January 1,2021,and December 31,2023.Group them based on the median time of intra-partum fever onset after labor analgesia:those with onset times less than the median were classified as the ear-ly-onset fever group,and those with onset times greater than the median were classified as the late-onset fever group.Using univariate and multivariate Logistic regression analysis to explore factors influencing the delay in in-trapartum fever onset and the pregnancy outcomes of the mothers and newborns in both groups.Results:A total of 253 parturients were included,and the time range of onset of intrapartum fever following epidural labor analgesi-a was 1.83-28.42 hours,with a median fever onset time of 8.00 hours.There were 126 cases in the early-onset group and 127 in the late-onset group.Multivariate Logistic regression analysis indicated that primiparous women,artificial membrane rupture,and neonatal birth weight were independent risk factors for delayed fever onset(OR＞1,P＜0.05),whereas the administration of oxytocin prior to labor analgesia was found to be a protective factor(OR＜1,P＜0.05).The late-onset group exhibited higher levels of white blood cells(WBC),C-reactive pro-tein,longer hospital stays,higher hospitalization costs,greater diagnosis rates of chorioamnionitis,higher NICU ad-mission rates,as well as a higher incidence of neonatal pneumonia,for newborns compared to the early-onset group(P＜0.05).Conclusions:Primiparous women,artificial membrane rupture,and higher neonatal birth weight may be associated with delayed onset of intrapartum fever,while oxytocin administration prior to labor analgesia may offer some protective benefit.The later the onset of intrapartum fever,the worse the clinical outcomes for both mother and infants.

Objective:To analyze the clinicopathological factors affecting the prognosis of patients after curative resection of lung metastases (LMs) from colorectal cancer (CRC) and to construct a clinical risk scoring (CRS) model.Methods:This study retrospectively collected clinicopathological data and follow-up information on 132 patients who underwent radical resection of LMs from CRC at the Cancer Hospital of the Chinese Academy of Medical Sciences between January 2010 and December 2020. We analyzed the clinicopathological factors influencing patient prognosis using univariate and multivariate Cox proportional hazards regression models, and we developed a risk stratification model for prognostic prediction.Results:The median follow-up duration for the cohort of 132 patients was 54.2 months. During this period, 61 patients (46.2%) experienced recurrence or distant metastasis, resulting in a 5-year DFS rate of 54.1%. Additionally, 33 patients (25.0%) died, corresponding to a 5-year overall survival (OS) rate of 76.7%. Univariate Cox proportional hazards regression model analysis indicated that ten clinicopathological factors were significantly associated with OS (all P＜0.05). These factors include the total number of lymph nodes (LNs) dissected from the primary tumor (PT) <16, the number of negative LNs from the PT <13, pN(+) of the PT, logarithmic odds of positive lymph nodes (LODDS) of the PT ≥-1.1, lymph nodes ratio (LNR) of the PT ≥0.02, preoperative carcinoembryonic antigen (CEA) level before LMs resection ≥10 ng/ml, the presence of hilar/mediastinal LN metastasis, the number of LMs ≥2, the maximum diameter of LMs ≥2.5 cm, and the necessity for hilar/mediastinal lymphadenectomy. Multivariate Cox proportional hazards regression analysis identified the number of negative LNs <13 ( HR=3.01, 95% CI: 1.28-7.03, P=0.011), pN(+) of the PT ( HR=5.04, 95% CI: 1.51-16.84, P=0.009), preoperative CEA level before LMs resection ≥10 ng/ml ( HR=5.39, 95% CI: 1.80-16.19, P=0.003), the number of LMs ≥2 ( HR=2.47, 95% CI: 1.09-5.60, P=0.030), and the necessity for hilar/mediastinal lymphadenectomy ( HR=2.74, 95% CI: 1.15-6.52, P=0.023) as independent prognostic risk factors. Patients were categorized based on independent risk factors, revealing statistically significant differences in OS across the groups with CRS scores of ≤2, 3～4, and ≥5 ( P＜0.001). Conclusions:Independent risk factors associated with LMs from CRC patients include the number of negative LNs <13, pN(+) of the PT, preoperative CEA level before LMs resection ≥10 ng/ml, the number of LMs ≥2, and the necessity for hilar/mediastinal lymphadenectomy. Patients scoring 3 or higher on the CRS model may warrant cautious assessment for the appropriateness of direct surgical treatment.

The problem of drug resistance resulting from the long-term use of antimicrobials is a serious threat to global health,and the emergence of multidrug-resistant bacteria,in particular,has greatly limited therapeutic op-tions.Therefore,the development of new or alternative antimicrobial agents has become an urgent need.Antimi-crobial peptides(AMPs)have been regarded as good alternatives to antibacterial drugs due to their strong antibac-terial activity and unique mechanism of action.At present,some AMPs have completed preclinical studies on drug-resistant bacterial infections and entered the clinical trial stage,while their stability and targeting have been signifi-cantly improved through the optimisation of amino acid modification,nano-delivery system and other technolo-gies,which have gradually become a research hotspot in this field.Therefore,this paper discusses the importance of AMPs in bacterial drug resistance from the biological properties of AMPs,the mechanism of regulating bacteri-al drug resistance and the application of AMPs in the treatment of drug-resistant bacterial infections,with a view to providing a reference for the development of drugs against drug-resistant bacteria and clinical application.

Objective To explore the role of the brief visuospatial memory test-revised(BVMT-R)in predicting the clinical conversion to psychosis in subjects with clinical high-risk for psychosis(CHR-P).Methods A total of 217 CHR subjects were recruited and assessed using BVMT-R at baseline.Participants were followed up for three years to determine whether they converted to psychosis.The relationship between BVMT-R total score and CHR-P conversion probability was analyzed using generalized additive model,and the cutoff values of BVMT-R total score for predicting CHR-P conversion were calculated by maximally selected rank statistics.Then,the total BVMT-R score was stratified into different intervals based on the cutoff values obtained as previously described.Finally,the positive likelihood ratios and the conversion rates at different time points were calculated for each interval.Results A total of 168 subjects with CHR-P completed the 3-year follow-up assessment.According to the results of the generalized additive model,the relationship between the BVMT-R total score and CHR-P conversion probability exhibited the characteristics of a piecewise function model.The cutoff values identified using the maximally selected rank statistics method were 18 and 29,which divided the BVMT-R total scores into three intervals:0-18,19-29,and 30-36.The positive likelihood ratios of the three intervals for predicting CHR-P psychosis conversion were significantly different(all P<0.01).All three intervals had significantly different rates of psychosis conversion at different follow-up time points(all P<0.01).Conclusion The total BVMT-R score can be divided into three intervals,each associated with a distinct positive likelihood ratio for predicting psychosis conversion in CHR-P individuals.Accordingly,the BVMT-R total score may serve as a preliminary indicator for estimating the probability of psychosis conversion in the CHR-P population.

The problem of drug resistance resulting from the long-term use of antimicrobials is a serious threat to global health,and the emergence of multidrug-resistant bacteria,in particular,has greatly limited therapeutic op-tions.Therefore,the development of new or alternative antimicrobial agents has become an urgent need.Antimi-crobial peptides(AMPs)have been regarded as good alternatives to antibacterial drugs due to their strong antibac-terial activity and unique mechanism of action.At present,some AMPs have completed preclinical studies on drug-resistant bacterial infections and entered the clinical trial stage,while their stability and targeting have been signifi-cantly improved through the optimisation of amino acid modification,nano-delivery system and other technolo-gies,which have gradually become a research hotspot in this field.Therefore,this paper discusses the importance of AMPs in bacterial drug resistance from the biological properties of AMPs,the mechanism of regulating bacteri-al drug resistance and the application of AMPs in the treatment of drug-resistant bacterial infections,with a view to providing a reference for the development of drugs against drug-resistant bacteria and clinical application.

Patients with severe aplastic anemia(SAA)often present with neutropenia,and are particularly susceptible to infections,especially following immunosuppressive therapy.Bacillus cereus is a ubiquitous,opportunistic pathogen capable of colonizing healthy individuals and causing infections through various routes.Neutropenia is a common feature in many hematologic disorders,placing affected patients at higher risk for Bacillus cereus infections.This report describes a rare case of Bacillus cereus bacteremia with multiple abscesses in a patient with SAA during the neutropenic phase following immunosuppressive therapy.Given the rarity of such presentations,relevant literature was reviewed and the diagnostic and treatment process was analyzed in detail,with the aim of providing clinical insights and improving the management of similar cases.

Objective: To examine the causal association and potential mechanisms between bone mineral density in different age groups and primary malignant bone tumor based on two sample Mendelian randomization (MR), so as to provide a reference for the prevention and treatment of primary malignant bone tumor. Methods: The genome-wide association study (GWAS) of bone mineral density was obtained from the GEFOS database,which included 66 628 subjects divided into five age groups (0-15, 15-30, 30-45, 45-60, and >60 years) based on the phases of human bone development. The GWAS of primary malignant bone tumor was sourced from the FinnGen database, including 648 cases and 378 749 controls. Using bone mineral density of five age groups as the exposure and primary malignant bone tumor as the outcome, an MR analysis was performed with the inverse-variance weighted (IVW) method. Sensitivity analysis were conducted using Cochran's Q test, MR-Egger regression, MR-PRESSO test and MR Steiger test. The potential mechanisms underlying the causal association between bone density and primary malignant bone tumors were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Results: The MR analysis results showed that there was a negative causal association between bone density and primary malignant bone tumors in the 30-45 age group (OR=0.301, 95%CI: 0.126-0.721). No statistically significant associations between bone density and primary malignant bone tumors were found in the 0-15, 15-30, 45-60, and >60 age groups (all P>0.05). Sensitivity analysis did not detect heterogeneity, pleiotropy (all P>0.05) and reverse causality. KEGG enrichment analysis revealed that genes highly associated with bone density and primary malignant bone tumors were enriched in the mTOR signaling pathway and the Wnt signaling pathway, among which Low Density lipoprotein Receptor Related protein 5 and Wnt Family Member 16 are key regulatory genes. Conclusion The decrease in bone mineral density among individuals aged 30-45 may increase the risk of primary malignant bone tumors through the mTOR signaling pathway and the Wnt signaling pathway.