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.

ObjectiveTo investigate the correlation between different female body mass index （BMI） values and key indicators of in vitro fertilization/intracytoplasmic sperm injection （IVF/ICSI） treatment cycles， as well as their impact on obstetric outcomes. MethodsA retrospective analysis was conducted on data from patients who underwent IVF/ICSI treatment， with 19 834 cycles included after propensity score matching to balance group differences. Based on the Chinese BMI classification standards with extended categories， patients were stratified into five groups： severely underweight （BMI<16）， underweight （16.0≤BMI<18.5）， normal weight （18.5≤BMI<24.0）， overweight （24.0≤BMI<28.0）， and obese （BMI≥28.0）. Baseline characteristics， ovarian stimulation protocols， treatment processes， and assisted reproductive outcomes were compared among the groups. Additionally， 75 delivered patients with complications were followed up to analyze the association between BMI and pregnancy-related complications. ResultsNo statistically significant differences were observed among the five groups in baseline parameters such as age， duration of infertility， or antral follicle count. Regarding ovarian stimulation protocols and processes， a statistically significant difference was found in the number of IVF oocytes retrieved （P<0.001）， with the normal-weight group showing a significantly higher number than both the overweight and obese groups. In terms of assisted reproductive outcomes， no significant differences were observed in biochemical pregnancy rates or birth defect rates. However， cumulative live birth rates differed significantly among the groups （P<0.05）， which was significantly higher in the overweight group than in the normal-weight group. Among the 75 followed-up patients， 25 were diagnosed with gestational hypertension， and 22 with gestational diabetes mellitus， of whom overweight and obese individuals accounted for 60.00% and 45.40% of the respective complications. ConclusionFemale BMI is significantly associated with IVF/ICSI outcomes. Pre-pregnancy body mass evaluation should be emphasized in patients with extremely low body weight. Although the live birth rate of overweight and obese patients was comparable to that of the normal-weight group， weight reduction prior to treatment is strongly recommended to minimize risks of miscarriage， preterm birth， and pregnancy complications.

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 explore the breeding and genotyping of CCR2 knockout mice, and to verify the applicability of the polymerase chain reaction(PCR) method for genotype detection of CCR2 knockout mice. Methods: The introduced CCR2 pure male mice and wild-type female mice were mated and bred to produce the offspring generation, the obtained F1 generation heterozygous mice were continued to be mated. DNA was extracted by clipping the tail tissues of the mice at the age of 2 weeks, the target gene fragment was amplified by PCR, and the genotypic results were determined by agarose gel electrophoresis. The proportion of purebred progeny carrying the CCR2 knockout gene was increased by genetic crosses, the effect of CCR2 knockout in the progeny mice was verified by using Western blot against major immune cells and key organs, and flow cytometry was used to detect whether the knockout of the CCR2 gene had any effect on the function of the immune system by targeting the major immune cells. Results: CCR2 knockout mice were successfully bred and characterized, and three genotypes of F2 generation mice were obtained: CCR2+/+, CCR2+/-, and CCR2-/-. The offspring genotypes were identified by PCR, and Western blot showed extremely low CCR2 protein expression in CCR2 knockout mice. Flow analysis showed that CCR2 knockdown reduced the expression of CD4+T and Th1 cells in mouse spleen-derived T cells, but did not affect macrophage function. Conclusion Correct breeding and identification are important ways to get the pure CCR2 knockout mice, and PCR method for identifying mouse genotypes is simple, fast and reliable.

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.

The Occupational Classification Dictionary of the People's Republic of China (2015 Edition) has added a new occupation type, Medical Nursing Assistants, aiming to meet the strong demand for medical care in the context of the aging population in China.In order to standardize the services of medical nursing assistants for the elderly in home and community settings and contribute to healthy aging, the National Health Commission issued the " Service Standards for Medical Nursing Assistants of Older Adults in Home and Community" ( WS/ T 803—2022) on September 28, 2022.The standards regulate the service processes, service items and requirements, as well as service evaluation and improvement for elderly medical nursing assistants.The interpretation of the standard's formulation background, the compilation process, and the standard's content are as follows.

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.

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.