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.

Objective: To construct microRNA(miR)-22 gene knockout(miR-22-/-) mice using CRISPR/Cas 9 technology, to breed miR-22-/- mice and to identify their genotypes. Methods : In this experiment, CRISPR/Cas 9 technology was used to construct miR-22-/- genetically engineered mice. After gene identification, the F0 generation miR-22-/- mice were mated with wild-type mice in the same litter to obtain F1 generation miR-22-/- mice. The miR-22 knockout efficiency was analyzed at the RNA level by real-time fluorescence quantitative polymerase chain reaction(qPCR). Western blot was used to detect the interaction between miR-22 and target genes. Results : miR-22-/- mice were successfully constructed using CRISPR/Cas 9 technology, gene identification was performed on the bred mice, and three stable genotypes of miR-22+/+,miR-22+/-, and miR-22-/- were identified. The real-time fluorescence quantitative PCR detection results confirmed that miR-22-/- mice showed almost no expression of miR-22 in the heart, liver, lung, kidney, spleen, and thymus tissues compared to wild-type mice in the same litter. Western blot analysis showed that the relative expression level of NLRP3 protein in miR-22-/- mouse tissues was lower than that in wild-type mice. Conclusion A miR-22-/- mouse model is successfully constructed, and stable genetic homozygous miR-22-/- mice is obtained. This indicates that miR-22 has an inhibitory effect on the downstream target gene NLRP3.

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.

Li-Fraumeni syndrome(LFS)is a rare autosomal dominant genetic disorder.Patients with LFS tend to develop tumors at a young age and are at risk of multiple types of cancer.The core pathogenic mechanism of LFS is germline mutation of the TP53 gene,which leads to loss of function of the p53 protein and an increase in the risk of tumor development.There are many tumor types closely related to LFS,including soft tissue sarcoma,osteosarcoma,brain tumors,breast cancer,and adrenocortical carcinoma.Although some common mutation sites of the TP53 gene in LFS patients have been identified,there are still differences in mutation sites among different patients,and the type of TP53 gene mutation may affect the clinical manifestations and prognosis of patients.Therefore,genetic testing for LFS patients to determine the specific mutation form of TP53 is of great significance.This article reviews the clinical patho-logical characteristics,treatment methods,and prognosis of LFS-related tumor patients,aiming to provide useful refer-ences for clinical practice.

Atypical teratoid/rhabdoid tumor(AT/RT)is a rare,highly malignant central nervous system tumor with a poor prognosis and often occurs in children under 3 years of age.In this article,the clinicopathological features,molecular subtypes,pathogenesis,treatment,prognosis,relevant clinical trials,and existing problems of AT/RT will be reviewed to deepen the understanding of AT/RT.

Objective·To investigate the longitudinal changes in amygdala and hippocampal subfield volumes before and after transcranial magnetic stimulation(TMS)treatment in patients with major depressive disorder(MDD)and explore their correlation with the antidepressant and anxiolytic efficacy of TMS.Methods·A total of 58 patients diagnosed with MDD at Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,were included in this study between January 2018 and August 2023.Clinical depressive and anxiety symptoms were assessed by using the Hamilton Depression Scale(HAMD),Montgomery-Asberg Depression Rating Scale(MADRS),and Hamilton Anxiety Scale(HAMA)at baseline and post-TMS treatment.Patients underwent a baseline magnetic resonance imaging(MRI)scan followed by TMS treatment targeting the left dorsolateral prefrontal cortex(DLPFC)at a frequency of 10 Hz,totaling 20 sessions.A follow-up MRI scan was conducted on the same day the TMS treatment concluded.Amygdala and hippocampal subfield volumes were segmented and calculated by using FreeSurfer v6.0.0 software.Longitudinal changes in the subfield volumes were analyzed with two-way analysis of variance.Controlling for age,sex,and intracranial volume,partial correlation analysis was conducted between subfield volumes and baseline clinical scores.The association between the rate of volume change in brain regions with significant volume changes and symptom improvement(reduction in HAMD,MADRS,and HAMA scores)was evaluated.Results·Following TMS treatment,a significant increase in the volume of the right amygdala central nucleus was observed(t=-2.441,P=0.018).While the volumes of bilateral hippocampal fimbria decreased,the volumes of most hippocampal subfield and the total hippocampus increased(P<0.05).No significant correlations were found between baseline amygdala or hippocampal subfield volumes and clinical depressive and anxiety symptoms.However,only in patients who responded effectively to TMS treatment,a positive correlation was found between the volume change rate of the left hippocampal tail and reductions in anxiety symptoms(HAMA:r=0.334,P=0.044).Conclusion·High-frequency TMS targeting the left DLPFC may induce volume increases in the right amygdala central nucleus and specific hippocampal subfields.Additionally,the volume change rate of the left hippocampal tail is associated with anti-anxiety effects in TMS responders,suggesting that high-frequency TMS targeting the left DLPFC may induce neuroplastic changes in the central nucleus of the right amygdala and key subfields of the hippocampus.

Objective: To investigate the causal association between amino acids and the primary malignant bone tumor and its underlying mechanism. Methods: Genome-wide association study (GWAS) data of glycine, serine, arginine, glutamine, methionine, and leucine was sourced from the IEU OpenGWAS database and the GWAS Catalog. GWAS data of primary malignant bone tumor were obtained from the FinnGen database. Using each of the six amino acids as the exposure and primary malignant bone tumor as the outcome, two-sample Mendelian randomization (MR) analysis was performed with the inverse-variance weighted method as the primary approach. Multivariable MR analysis was employed to control for collinearity among amino acids. Sensitivity analyses were conducted using Cochran's Q test, MR-Egger regression and the MR Steiger test. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and protein-protein interaction network analysis were explored to explore potential mechanisms and identify key genes. Results: MR analysis results indicated a statistically significant causal association between glycine and primary malignant bone tumor (OR=1.719, 95%CI: 1.083-2.728). No significant causal associations were found for the other five amino acids (all P>0.05). Multivariable MR analysis revealed that, after adjusting for the other five amino acids, confirmed a positive causal association between glycine and primary malignant bone tumor (OR=1.512, 95%CI: 1.125-2.031). Sensitivity analyses revealed no significant heterogeneity, horizontal pleiotropy, or reverse causality (all P>0.05). Genes associated with both glycine metabolism and primary malignant bone tumor were enriched in the JAK-STAT signaling pathway, with serine hydroxymethyltransferase 2 (SHMT2) identified as a key gene. Conclusion Higher glycine levels may increase the risk of primary malignant bone tumor via the SHMT2-JAK-STAT pathway.

Objective: To constructCSF1R+/-mice and to analyze their genotypes, so as to provide animal model basis for disease pathological mechanism and drug target. Methods : A linearized targeting vector was designed according to Cre/Loxp system. A Loxp site was inserted upstream of the 5th exon of theCSF1Rgene, and a neomycin resistance box with Loxp sites on both sides was inserted downstream of the 5th exon. The linearized targeting vector was electroporated into embryonic stem cells. The correctly targeted embryonic stem cells were injected into the blastocysts of C57BL/6J mice to obtain chimeric mice, which were bred with Zp3-Cre mice. The newborn mice were numbered 9-14 days after birth and their tails were cut. The DNA of the mice was extracted, and the genotype of the mice was identified by polymerase chain reaction and agarose gel electrophoresis. The expression of CSF1R in mouse macrophages was detected by flow cytometry. The expression of CSF1R in mouse tissues was detected by Western blot. Results: The results of agarose gel electrophoresis showed that 453 bp bands were amplified in wild type mice, and 453 bp and 650 bp bands were amplified in heterozygous mice. The results of flow cytometry showed that the expression of CSF1R in peritoneal macrophages and bone marrow-derived macrophages of CSF1R heterozygous mice was lower than that of WT group(P<0.05). The results of Western blot showed that the expression of CSF1R in spleen, kidney and brain tissue of CSF1R heterozygous group was lower than that of WT group(P<0.05). Conclusion CSF1R+/-mice are successfully constructed, reproduced and identified, which provides an animal model basis for further revealing the potential mechanism of CSF1R in immune regulation.

Objective:To screen the key genetic,diagnostic and therapeutic targets of chronic obstructive pulmonary disease(COPD)patients by using microarray datasets and Mendelian randomization(MR)method,and to provide the evidence for clinical diagnosis and treatment of COPD.Methods:Four COPD gene expression profile datasets were obtained from the Gene Expression Omnibus(GEO)database.The data were processed and normalized using R software,and differentially expressed genes(DEGs)were screened.MR analysis was performed to explore the causal relationship between COPD and expression quantitative trait loci(eQTL),intersection with DEGs was taken to identify potential key targets.Gene Set Enrichment Analysis(GSEA),Gene Ontology(GO)functional enrichment analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were conducted to investigate the functional roles and pathways of the key targets,external datasets were used to validate their expression.Results:A total of 1 571 DEGs were screened,including 820 upregulated genes and 751 downregulated genes.MR analysis identified 286 COPD-related genes,and intersection with DEGs revealed 3 upregulated genes:diacylglycerol kinase gamma(DGKG),neurofilament heavy polypeptide(NEFH),and Fc receptor like B(FCRLB);and 6 downregulated genes:STEAP4 metalloreductase(STEAP4),pleckstrin homology domain containing family F member 2(PLEKHF2),CD3d molecule(CD3D),transgelin 2(TAGLN2),tripartite motif containing 22(TRIM22),and ribosomal protein L9(RPL9).The biological function analysis results indicated that these genes were mainly involved in pathways such as iron ion transport into the cells,oxidoreductase activity,primary immunodeficiency,and Th1 and Th2 cell differentiation.The MR analysis results confirmed the causal relationship between these targets and COPD.The external validation results showed that compared with healthy controls,the expression level of FCRLB in COPD samples was significantly increased(P<0.01),while the expression levels of CD3D and RPL9 were significantly decreased(P<0.05 or P<0.01),which was consistent with the MR analysis results,highlighting the reliability of this study.Conclusion:DGKG,NEFH,FCRLB,STEAP4,PLEKHF2,CD3D,TAGLN2,TRIM22,and RPL9 may serve as important regulatory factors and clinical diagnostic/therapeutic targets in the pathogenesis of COPD,providing clues for early screening,diagnosis,and targeted treatment of COPD.