The ambiguity of symptom information in traditional Chinese medicine （TCM） syndrome differentiation can be amplified in the direct reasoning process from symptoms to syndromes in the absence of constraints， which affects the accuracy and stability of intelligent syndrome differentiation. TCM disease concepts， while historically rational， are structurally ambiguous in both their connotation and extension， making it difficult to serve as stable prior knowledge in intelligent modeling. In contrast， modern medical diseases， based on objective testing and quantifiable indicators， have relatively clear boundaries and reproducible standards. This study proposes a disease-syndrome combination model， adopting modern medical diseases as structural prior variables to reconstruct the hierarchical relationships among disease， symptoms， and syndromes. By applying disease constraints， effective screening of information from the four examinations and compressing the reasoning space are achieved. Furthermore， by integrating artificial intelligence technologies， such as multimodal fusion and knowledge graphs， an intelligent syndrome differentiation model driven by both prior knowledge and clinical data is constructed， providing a feasible path to enhance the accuracy of syndrome differentiation and realize the intelligentization of TCM diagnosis and treatment.

To explore the clinical value of a multimodal predictive model based on multiparametric magnetic resonance imaging(MRI) radiomics combined with deep learning(DL) features for the preoperative noninvasive assessment of mismatch repair-deficient(MMRd) status in endometrial cancer(EC).

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Objective:To explore the diagnostic value of the macrophage activation syndrome/systemic juvenile idiopathic arthritis（MS）score in macrophage activation syndrome（MAS）associated with systemic juvenile idiopathic arthritis（sJIA），and to provide a reference for clinical work.Methods:This study was a retrospective case-control analysis，conducted on the patients initially diagnosed as sJIA-associated with MAS and admitted into the Department of Rheumatology and Immunology of Children's Hospital Affiliated to Xi 'an Jiaotong University from July 1st，2016 to June 30th，2023. All of the patients met the diagnostic criteria for patients with MAS associated with sJIA according to the 2016 European Alliance of Associations for Rheumatology（EULAR）/American College of Rheumatology（ACR）/Pediatric Rheumatology International Trials Organization（PRINTO）standards. The basic information at baseline，clinical manifestations，and auxiliary examination results were collected. The MS score was applied to re-evaluate the children diagnosed as sJIA-associated with MAS. When the MS score ≥-2.1，the possibility of sJIA with MAS was high. Thirty cases of sJIA without MAS were randomly selected as the control group.Results:There were 28 cases in the MAS group，including 13 males（46.43%）and 15 females（53.57%），with an average age of（7.51±4.01）years. Compared with the control group，the MAS group were significantly more likely to have high fever（ χ2=8.539， P=0.003），hepatomegaly（ χ2=11.621， P<0.001），splenomegaly（ χ2=11.710， P<0.001）and neurological involvement（ χ2=27.619， P<0.001），with the differences being statistically significant. Meanwhile，there were statistically significant differences between the two groups in terms of white blood cell count（ Z=-4.001， P<0.001），neutrophil count（ Z=-3.659， P<0.001），platelet count（ Z=-4.687， P<0.001），albumin level（ Z=-4.018， P<0.001），alanine aminotransferase（ Z=-3.846， P<0.001），aspartate aminotransferase（ Z=-5.932， P<0.001），lactate dehydrogenase（ Z=-6.150， P<0.001），triglycerides（ Z=-5.874， P<0.001），fibrinogen（ Z=-5.808， P<0.001），ferritin（ Z=-5.280， P<0.001），erythrocyte sedimentation rate（ Z=-3.971， P<0.001），ferritin/erythrocyte sedimentation rate（ Z=-5.433， P<0.001），reduction of two-line cells in blood（ χ2=11.408， P<0.001）and the presence of hemophagocytosis in bone marrow smears（ χ2=28.260， P<0.001）. Moreover，there was a statistically significant difference in MS scores between the two groups（ Z=-6.148， P<0.001），with higher MS scores in the MAS group. Nevertheless，this study showed the median MS scores of both groups ≥-2.1. Conclusion:The MS score was significant to a certain degree as reference for the diagnosis of MAS，and this study showed that the MS score in the MAS group was significantly higher than the control group. However，the median MS scores in both groups were no less than -2.1. This might be related to the influence of factors during the assessment，which made it necessary to optimize the cutoff values of the MS score. Therefore，prospective studies should be carried out on the role of MS score in early identification of MAS.

Objective:To explore the research status and hotspots of TCM syndrome differentiation and treatment for headache using bibliometrics.Methods:Literature about TCM syndrome differentiation and treatment for headache was retrieved from CNKI, VIP, Wanfang Data, and CBM from the establishment of the databases to July 18, 2024. Excel 2023 was used to extract information such as publication time, author, unit and keywords of the literature. The authors' affiliation and keywords were preprocessed. VOSviewer software was used for keyword co-occurrence analysis and clustering analysis, and a keyword temporal overlay network was constructed.Results:Totally 1 513 articles were finally included. The journal with the largest number of publications was Henan Traditional Chinese Medicine. 346 authors were involved, initially forming research teams represented with Cao Kegang, Zhou Jianwei, Ni Jinjun, etc., mainly from Beijing University of Chinese Medicine, Henan University of Chinese Medicine, Shandong University of Traditional Chinese Medicine, etc.; the included literature included a total of 2 153 keywords, which the frequency of 5 931 times in total. The top three keywords in frequency were acupuncture and moxibustion therapy, clinical efficacy, and experience of famous doctors. Current research hotspots included data mining, network pharmacology, literature research, syndrome elements, medication law, venturing and bloodletting therapy, calcitonin gene-related peptide, classic prescriptions, nitric oxide, etc. Conclusions:At present, research on TCM syndrome differentiation and treatment for headache mainly focuses on three major sections: acupuncture, moxibustion and massage, clinical efficacy of TCM syndrome differentiation and treatment, and experience of famous doctors. Future research mainly focuses on data mining, medication law, network pharmacology, syndrome elements, and pathogenesis.

Cancer immunotherapy is currently a very promising therapeutic strategy for treating tumors. However, its effectiveness is restricted by insufficient antigenicity and an immunosuppressive tumor microenvironment (ITME). Pyroptosis, a unique form of programmed cell death (PCD), causes cells to swell and rupture, releasing pro-inflammatory factors that can enhance immunogenicity and remodel the ITME. Nanomaterials, with their distinct advantages and different techniques, are increasingly popular, and nanomaterial-based delivery systems demonstrate significant potential to potentiate, enable, and augment pyroptosis. This review summarizes and discusses the emerging field of nanomaterials-induced pyroptosis, focusing on the mechanisms of nanomaterials-induced pyroptosis pathways and strategies to activate or enhance specific pyroptosis. Additionally, we provide perspectives on the development of this field, aiming to accelerate its further clinical transition.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.