ObjectiveTo systematically evaluate the methodological quality and measurement properties of traditional Chinese medicine （TCM） syndrome efficacy evaluation scales， and to provide evidence-based references for selecting high-quality assessment tools in TCM clinical practice. MethodsChina National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP Database， Chinese Biomedical Literature Database （CBM）， PubMed， the Cochrane Library， Embase， and Web of Science were searched from inception to April 2， 2025， for studies evaluating the measurement properties of TCM syndrome efficacy evaluation scales. Data were extracted， and the methodological quality and measurement properties of the included scales were assessed according to the consensus-based standards for the selection of health measurement instruments （COSMIN）. Recommendation levels were formulated based on the grading of evidence. ResultsA total of 46 studies were included， involving 22 generic syndrome efficacy evaluation scales and 24 disease-specific syndrome efficacy evaluation scales. None of the scales reported cross-cultural validity or measurement error. According to the recommendation grades， 2 scales met Grade A recommendations and are suggested for clinical use； 38 scales were classified as Grade B， indicating potential applicability but requiring further validation； and 6 scales were classified as Grade C， suggesting the need for further refinement. ConclusionExisting TCM syndrome efficacy evaluation scales exhibit substantial variability in methodological quality， incomplete reporting of measurement properties， and insufficient attention to scale revision. Future efforts should emphasize standardized design in the development of TCM syndrome scales， strengthen validation procedures for key measurement properties， and prioritize dynamic revision of scales， thereby providing high-quality tools to support the precise evaluation of syndrome efficacy.

Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

OBJECTIVE: To explore the genetic etiology of 46 Chinese pedigrees affected with Hereditary multiple exostoses (HME) and provide genetic counseling and reproductive intervention. METHODS: Whole-exome sequencing and Sanger sequencing were carried out on 87 patients from the 46 pedigrees to analyze the variants of EXT1 and EXT2 genes. Pathogenicity of the variants was assessed based on the guidelines from the American College of Medical Genetics and Genomics and Association for Molecular Pathology (ACMG/AMP). Prenatal diagnosis and preimplantation genetic testing (PGT) were provided for couples with identified pathogenic mutations. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: LL-SC-SG-2014-010). RESULTS: In total 17 and 22 pathogenic variants were respectively identified in the EXT1 and EXT2 genes, among which 5 EXT1 and 12 EXT2 variants were unreported previously. Three patients with no family history were found to harbor de novo variants of the EXT1 gene. Twenty nine couples had opted for PGT or underwent prenatal diagnosis following natural conception, and 17 healthy babies were born. CONCLUSION This study has clarified the genetic etiology of 45 HME pedigrees and identified 17 novel variants, which has enriched the mutational spectrum of the EXT1 and EXT2 genes. Reproductive intervention through PGT and prenatal diagnosis have prevented the recurrence of HME in these families.
Humans ; Female ; Male ; Pedigree ; Exostoses, Multiple Hereditary/diagnosis* ; N-Acetylglucosaminyltransferases/genetics* ; Adult ; Exostosin 1 ; Asian People/genetics* ; Genetic Testing ; Exostosin 2 ; Mutation ; China ; Prenatal Diagnosis ; Pregnancy ; Genetic Counseling ; Preimplantation Diagnosis ; Exome Sequencing ; East Asian People

Objective: To understand the current status of psychological sub health among secondary vocational school students and explore its related factors, so as to provide a scientific basis for improving their mental health. Methods: From September to December 2024, a convenience sampling method was used to conduct a questionnaire survey among 5 141 secondary vocational school students from 16 schools across 8 provinces and municipalities (Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai, Zhejiang). A self designed questionnaire was used to collect data on students demographic characteristics and lifestyle behaviors. The Multidimensional Sub health Questionnaire of Adolescents was adopted to assess psychological sub health status. Multivariate binary Logistic stepwise regression analysis was performed to explore the related factors of psychological sub health among secondary vocational school students. Results: The detection rate of psychological sub health among secondary vocational school students was 11.0%, with detection rates of emotional problems, conduct problems, and social adaptation difficulty being 12.3 %, 12.5%, and 9.5%, respectively. Logistic regression analysis revealed that boys and students whose fathers had an educational level of primary school or below, and junior high school, had relatively lower risks of developing psychological sub health or emotional problems, conduct problems, and social adaptation difficulty ( OR =0.55-0.64, all P <0.05). Conversely, students with urban household registration, those with left behind experience, those with poor self rated family economic status, those from other family structures, those classified as overweight and obesity, and those with sleep disorders, frequent consumption of sugar sweetened beverages, frequent consumption of takeout/delivery food, smoking, alcohol consumption, and low to moderate physical activity levels exhibited significantly higher risks across psychological sub health or emotional problems,conduct problems, and social adaptation difficulty ( OR =1.25-4.79, all P <0.05). Conclusions The psychological sub health condition of secondary vocational school students should not be neglected. Psychological sub health of secondary vocational school students is related to multiple factors such as demographic characteristics and lifestyle behaviors. Multi dimensional intervention measures should be implemented to improve their mental health.

Objective To explore the biological functions of pyroptosis-related genes in pneumonic plague using bioinformatics methods,and to evaluate their potential applicability as diagnostic markers.Methods The pneumonic plague-related dataset GSE220123 was retrieved from the Gene Expression Omnibus(GEO)database and screened for differentially expressed pyroptosis-related genes(DE-PRGs).The functions of DE-PRGs were studied via Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,and immune infiltration analysis.The hub genes were identified via protein-protein interaction(PPI)network analysis,and further screened for key genes with sustained high expression characteristics based on differential expression analysis.The relative expression levels of the key genes were verified using the reverse transcription real-time quantitative PCR(qPCR)method.Results A total of 17 DE-PRGs were screened,and PPI network analysis revealed 7 Hub genes.Among them,Casp4 continued to be up-regulated during the course of pneumonic plague.The results of reverse transcription qPCR were consistent with the those of bioinformatic analyses.Conclusion DE-PRGs play a crucial role in the immune response of pneumonic plague,especially Casp4,which has significant applications as a diagnostic biomarker and potential therapeutic target for pneumonic plague.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

Bacillus velezensis DJ1 exhibits broad-spectrum antagonistic activity against diverse phytopathogenic fungi, while its biocontrol mechanisms against Fusarium graminearum, the causal agent of maize stalk rot, remain poorly characterized. In this study, we integrated genomics and transcriptomics to elucidate the antifungal mechanisms of strain DJ1. The results demonstrated that DJ1 inhibited F. graminearum with the efficacy of 64.4%, while its polyketide crude extract achieved the control efficacy of 55% in pot experiments against this disease. Whole-genome sequencing revealed a single circular chromosome (3 929 792 bp, GC content of 47%) harboring 12 biosynthetic gene clusters for secondary metabolites, six of which encoded known antimicrobial compounds (macrolactin H, bacillaene, difficidin, surfactin, fengycin, and bacilysin). Transcriptomic analysis identified 243 differentially expressed genes (152 upregulated and 91 downregulated, P < 0.05), which were potentially associated with the antagonistic activity against F. graminearum. KEGG enrichment analysis highlighted activation (P < 0.05) of cysteine/methionine metabolism, pentose phosphate pathway, and polyketide biosynthesis pathways, indicating that DJ1 employed synergistic strategies involving antimicrobial compound synthesis, energy metabolism enhancement, and nutrient competition to suppress pathogens. This study provides a theoretical foundation for developing novel microbial resources and application technologies to combat phytopathogenic fungi.
Fusarium/drug effects* ; Bacillus/metabolism* ; Plant Diseases/prevention & control* ; Antifungal Agents/pharmacology* ; Genomics ; Zea mays/microbiology* ; Transcriptome ; Gene Expression Profiling ; Antibiosis ; Multigene Family ; Multiomics

Objective To analyze the changes and clinical significance of aqueous humor stromal cell-de-rived factor-1(SDF-1),macrophage chemoattractant protein-1(MCP-1)and soluble adhesion molecule CD44(sCD44)in patients with diabetic cataract(DC).Methods A total of 80 patients with DC admitted to the hos-pital from January 2021 to January 2023 were selected as the DC group,and 40 patients with simple cataract during the same period were selected as the age-related cataract group.According to the stage of cataract,DC patients were divided into group A(incipient stage,32 cases),group B(intumescent stage,26 cases)and group C(mature stage and over mature stage,22 cases).According to the presence or absence of macular ede-ma after treatment,the patients were divided into occurrence group(20 cases)and non-occurrence group(60 cases).The levels of SDF-1,MCP-1 and sCD44 in each group were detected by enzyme-linked immunosorbent assay.The receiver operating characteristic curve and area under the curve(AUC)were used to analyze the value of SDF-1,MCP-1 and sCD44 levels in the diagnosis of DC.Results The levels of SDF-1,MCP-1 and sCD44 in the DC group were higher than those in the age-related cataract group(P<0.05),and the levels of SDF-1,MCP-1 and sCD44 in the A,B and C groups increased sequentially(P<0.05).The level of MCP-1 in the occurrence group was higher than that in the non-occurrence group(P<0.05).The AUC of MCP-1,sCD44 and SDF-1 in the diagnosis of DC was 0.869,and the diagnostic efficiency was better.Conclusion The changes of aqueous SDF-1,MCP-1 and sCD44 levels are related to the stage of cataract in DC patients.Dynam-ic monitoring of these three indexes,especially MCP-1,is helpful to judge the condition and prognosis of DC patients.

Objective:To investigate the effect of ERMAP on imiquimod(IMQ)-induced psoriasis-like skin inflammation in mice and its related mechanism.Methods:The experimental mice were divided into 3 groups:Sham group,WT group and ERMAP-/-group,with 9 mice in each group.The Sham group was smeared with Vaseline,and the WT group and ERMAP-/-group were smeared with IMQ to induce psoriatic dermatitis.The severity of IMQ-induced psoriasis lesions in mice were evaluated according to the psoria-sis area and severity index(PASI)and the HE staining pathology score.The expressions of F4/80 and Ki67 in mouse skin lesions were observed by immunofluorescence staining.The relative expressions of IL-1β,IL-6,IFN-γ and iNOS in skin lesions were detected by qRT-PCR.Flow cytometry was used to detect the proliferation and activation of T cells and the proportion of macrophages in spleen.Results:In the IMQ-induced mouse model of psoriasis-like dermatitis,the skin lesions of ERMAP gene knock out mice showed more severe squamous accumulation and skin bulge,more inflammatory cells aggregation and cytokine production,and the proportion of immune cells in the spleen of mice increased compared with the WT group,and the proportion of M1 macrophages increased.Conclu-sion:ERMAP deficiency aggravates IMQ-induced psoriasis-like skin inflammation in mice by enhancing immune response.

By systematically reviewing the development history of organoid technology and its application examples in Chinese med-icine,this paper summarizes the specific applications of organoids in the mechanism and translation of Chinese medicine,pathological mechanisms,diagnostic techniques,and therapeutic strategies,and evaluate their advantages and limitations through literature analysis.Organoid technology provides an in vitro model that highly simulates the function of human organs for TCM research,and can simulate the multi-target and multi-pathway mechanism of action of TCM,which significantly improves the scientificity and precision of TCM in the analysis of disease mechanisms,drug screening and personalized treatment.However,it still faces challenges in stand-ardization,ethical regulation,and clinical translation.The combination of organoid technology and TCM has a broad prospect,and it is necessary to further optimize the model construction,resolve ethical issues,and promote its wide application in TCM research and clin-ical practice through technological innovation,interdisciplinary cooperation,and international regulatory coordination in the future.