ObjectiveTo analyze the comorbidity patterns of chronic metabolic diseases and their influencing factors among residents aged 35‒75 years old in Nantong City of Jiangsu Province, and to provide theoretical support for the prevention and control of comorbidities. MethodsThe permanent residents aged 35‒75 years from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases in Nantong City from 2021 to 2024 were selected as the research subjects. Clustering analysis and association rule were used to investigate the comorbidity patterns of chronic metabolic diseases, and their influencing factors were identified through logistic regression analyses. ResultsThe prevalence of comorbidity of chronic metabolic diseases among residents aged 35‒75 years in Nantong City was 47.40%. Among comorbidity patterns based on disease counts, the prevalence of hypertension+dyslipidemia was highest in binary comorbidity patterns (6.25%), while that of hypertension+dyslipidemia+obesity was highest in ternary comorbidity patterns (4.01%). Association rules showed that in both binary and ternary comorbidity patterns, the confidence level was highest for obesity+hypertension (72.70%) and obesity+dyslipidemia+hypertension (74.54%). Renal insufficiency formed an independent cluster in cluster analyses. Logistic regression analyses revealed that, compared with the non-comorbidity group, males (OR=2.22, 95%CI: 1.69‒2.91), advanced age (45‒54 years, OR=1.38, 95%CI: 1.02‒1.88; 55‒64 years, OR=1.59, 95%CI: 1.14‒2.23; 65‒75 years, OR=2.34, 95%CI: 1.58‒3.47), and low physical activity (OR=1.26, 95%CI: 1.10‒1.65) were influencing factors for metabolic disease comorbidity. ConclusionIn the comorbidity patterns of chronic metabolic diseases among residents aged 35‒75 years in Nantong City, hypertension, diabetes mellitus, and dyslipidemia interact with each other. Individuals with obesity are more prone to diseases such as hypertension and dyslipidemia. Prevention and control of chronic metabolic diseases should be strengthened for males, individuals with low physical activity and advanced age.

Objective:To analyze the role of interleukin-33(IL-33)in the occurrence and development of glioma and its related mechanism by bioinformatics technology,and to validate it through histopathological experiments,and to discuss the possibility of IL-33 as an auxiliary marker for the diagnosis and treatment of brain glioma.Methods:The glioblastoma multiforme/lower grade glioma(GBMLGG)case data were downloaded from the UCSC XENA database,including data of 689 glioma samples,5 paracancerous samples,and 1 152 normal brain tissue samples;Mann-Whitney U test was used to analyze the difference in the expression of IL-33 mRNA between the GBMLGG samples and the normal brain tissues;according to the expression level of IL-33 in GBMLGG tissue,the tumor samples were divided into IL-33 low expression group and IL-33 high expression group;the Human Protein Atlas(HPA)was used to validate the difference in the protein expression of IL-33 in the GBMLGG samples;the R language DESeq2(v.1.36.0)package was used to screen the differentially expressed genes(DEGs)in the GBMLGG tumor case samples;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were used to perform pathway analysis on the DEGs;Gene Set Enrichment Analysis(GSEA)was used to discuss the pathways significantly enriched by IL-33 in the GBMLGG tissues;GSVA package was used to analyze the immune infiltration in the GBMLGG samples;survival package and survminer package were used to analyze the effect of IL-33 expression level on the survival of the patients in different clinical subgroups of GBMLGG;univariate and multivariate Cox proportional hazards regression models were used to analyze the relationship between IL-33 expression and the clinicopathological characteristics of the GBMLGG patients;the GBMLGG and control tissue samples were collected;immunohistochemical staining was used to detect the expression levels of IL-33 and its receptor suppression of tumorigenicity 2(ST2)in the GBMLGG and normal brain tissue samples.Results:The expression levels of IL-33 mRNA and protein in the GBMLGG tissues were significantly increased compared with those in normal brain tissues;there were 634 DEGs in total between the IL-33 low and high expression groups,including 283 up-regulated DEGs and 351 down-regulated DEGs;the GO functional enrichment analysis and KEGG signaling pathway enrichment analysis results showed that the DEGs were associated with biological behaviors such as activation of the classical pathway of complement,immunoglobulin complex formation,and mediated immunoglobulin receptor binding;in the course of GBMLGG development,high expression of IL-33 could degrade valine,leucine,and isoleucine,induce limonene and pinene degradation,promote propanoate metabolism,and simultaneously activate the Leishmania infection pathway,NOD-like receptor signaling pathway,and allograft rejection pathway;the infiltration levels of dendritic cell(DC)and mast cell in the IL-33 high expression group were higher than those in IL-33 low expression group;the infiltration levels of eosinophil,helper T cell,and central memory T cell(Tcm)were lower than those in IL-33 low expression group;the expression level of IL-33 was positively correlated with the infiltration of γδT cell(Tgd),helperT cell,macrophage,eosinophil,Tcm,and effector memory T cell(Tem)(P＜0.05);it was negatively correlated with the infiltration levels of DC,natural killer cell(NK),CD8+T cell,and CD56bright NK cell(P＜0.05).There were no significant differences in the overall survival(OS),disease-specific survival(DSS),and disease-free interval(DFI)of the GBMLGG patients between IL-33 high expression group and IL-33 low expression group(P＞0.05);the clinical subgroup analysis results showed that the expression level of IL-33 in oligodendrocytoma tissues was lower than those in astrocytoma and oligoastrocytoma tissues,and the expression level of IL-33 in glioblastoma tissues was higher than that in oligodendroglioma tissues.World Health Organization(WHO)stage and age were risk factors affecting the prognosis of the GBMLGG patients,and IDH mutation and primary treatment effect were protective factors affecting the prognosis;The immunohistochemical staining results showed that compared with normal brain tissues,the expression levels of IL-33 and its receptor ST2 proteins in the malignant glioma tissues were significantly increased(P＜0.05),and their expression levels were positively correlated in both normal brain tissues and malignant glioma tissues(P＜0.05).Conclusion:The expression level of IL-33 in the glioma tissue is significantly increased,and high expression of IL-33 may be a potential factor for poor prognosis in the glioma patients.

Objective:To investigate the efficacy of azacitidine combined with CAG regimen in the treatment of acute myeloid leukemia (AML) patients who are not suitable for intensive chemotherapy.Methods:A retrospective case-series study was conducted. A total of 67 AML patients with newly diagnosed elderly, treatment-related secondary and myelodysplastic syndromes or myeloproliterative neoplasms primary transformation who were not suitable for intensive chemotherapy were selected from Heze Municipal Hospital from January 2020 to December 2023. Azacitidine combined with CAG regimen was given for treatment, and the efficacy and adverse reactions of the patients were observed.Results:Among the 67 patients, there were 32 females and 35 males with the median age [ M ( Q1, Q3)] of 68 (65, 72) years old. There were 40 cases in the high-risk group, 13 cases in the medium-risk group, and 14 cases in the low-risk group. After 1 course of treatment with azacitidine combined with CAG regimen, the overall response rate (ORR) was 38.8% (26/67), with a complete remission (CR) rate of 20.9% (14/67), a complete remission rate with incomplete recovery of blood cell count (CRi) of 11.9% (8/67), and a partial remission (PR) rate of 6.0% (4/67). After 4 courses of treatment, the ORR was 59.7% (40/67), with a CR rate of 56.7% (38/67) and a CRi rate of 3.0% (2/67). There were no PR patients. All patients in the low-risk and medium risk groups achieved at least CRi, while the ORR in the high-risk group was 40.0% (16/40). There was a statistically significant difference in efficacy between different risk groups ( P < 0.001). The patient had mild adverse reactions, mainly pain and grade 1-2 hematological adverse reactions. Conclusions:AML patients who are intolerant to intensive chometherapy are effectively treated with azacitidine combined with CAG regimen, and the adverse reactions are mild.

The aim of this study is to identify the cause of death of a South China tiger cub at the Meihuashan breeding institute of Fujian Province.Pathogenic bacteria were isolated and cultured from liver,spleen,lung and other tissue samples of the dead South China tiger aseptically.The iso-lated bacteria were identified through morphological observation,biochemical characterization,sequence analysis of housekeeping gene gyrB,virulence gene detection,animal pathogenicity test and drug sensitivity test.A pathogenic Aeromonas hydrophila strain,designated FJ/Tiger-201809 was successfully isolated from the trachea of dead South China tiger.The nucleotide sequence ho-mology between the isolate and 11 strains of Aeromonas gyrB ranged from 91.2％to 99.1％,with the highest homology of 99.1％observed with Aeromonas hydrophila(AF208251.1).Genetic evo-lution analysis showed that the isolated strain FJ/Tiger-201809 was in the same evolutionary branch as other reference strains of Aeromonas hydrophila and was closely related.The pathoge-nicity test in mice showed artificial infection of mice with the strain resulted in varying degrees of lesions in several organs of the mice,and the median lethal dose(LD50)was 1 × 107.8 CFU/mL.Virulence gene test results showed that the isolate FJ/Tiger-201809 carried two virulence genes,aer and act.The results of drug sensitivity test showed that FJ/Tiger-201809 was highly sensitive to enrofloxacin and ampicillin among 18 commonly used antibiotics,relatively sensitive to penicil-lin G and doxycycline,and resistant to the other 14 antibiotics.In conclusion,this study isolated and identified a strain of Aeromonas hydrophila from a dead South China tiger with multiple drug resistance and strong pathogenicity,which provided an important reference for the prevention and control of bacterial diseases in South China tiger.

Objective:To investigate intraoperative pathological findings and the interventional effects of "deep cervical lymphaticovenous anastomosis+" (dcLVA+) on deep cervical lymphatic drainage as well as the blood flow of carotid artery and jugular vein in elderly patients with cognitive impairment, and to put forward the thoughts based on the findings from the surgery.Methods:Between May 2024 and December 2024, retrospective analysis of Microsurgery Hospital, Fengcheng Hospital, Xi'an Medical College performed dcLVA+ between the deep cervical lymphatics or lymph nodes and jugular veins in 50 elderly patients with cognitive impairment (19 males and 31 females, aged 55-88 years with 69.94 years in average). Nine patients were found with Clinical Dementia Rating (CDR) score at 1 (mild), 7 with CDR score at 2 (moderate) and 34 with CDR score at 3 (severe). Intraoperative observations based on literature reviews had identified anatomical relationships between the lymphatic sacs containing cervical lymphatic chain and the carotid sheath. The lymph node count, size, distribution, thickness of fat tissue and conditions of lymphatic vessels were documented. Ultrasound was used to compare the blood flow of carotid artery and jugular vein as well as the cross-sectional areas at the planes of hyoid and cricoid cartilage before and after the closure of incisions under anaesthesia in 39 patients. Correlation analyses for Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCa), Activities of Daily Living (ADL) and Agitation behavior score before and 1 week after surgery were performed using Spearman's correlation and Wilcoxon paired tests. P<0.05 was considered statistically significant. Postoperative follow-ups were conducted via the visit of outpatient clinic and WeChat and telephone interviews. Results:In surgery, the cervical lymphatic chain was found running within an almost enclosed sac surrounding the carotid sheath. There were enlarged lymph nodes, increased fat deposition, lymphatic dilation or fibrosis in the sac. The preoperative blood flow in the carotid artery at the planes of hyoid and cricoid cartilage in the 39 patients was recorded at 150.52 ml/min±40.33 ml/min and 358.29 ml/min±129.30 ml/min, while that in the jugular vein was at 172.50 ml/min±63.94 ml/min and 317.00 ml/min±105.21 ml/min, respectively, both were far lower than the normal blood flow. There were statistically significant differences in the blood flow of carotid artery and jugular vein before and after surgery ( P<0.01). It was found that the preoperative blood flow of the internal carotid artery at the plane of hyoid was positively correlated with the preoperative scores of MMSE ( P<0.01), MoCa ( P<0.05) and ADL ( P<0.01). The blood flow of the common carotid artery at the plane of cricoid cartilage was found significantly and positively correlated with the preoperative scores of MMSE ( P<0.05). It was also noted that the blood flow of the internal carotid artery at the plane of hyoid was significantly and positively correlated with the postoperative ADL ( P<0.01) but negatively correlated with the Agitation behavior score ( P<0.05). The blood flow of the common carotid artery at the plane of cricoid cartilage was significantly and positively correlated with the postoperative scores of MMSE and MoCa ( P<0.05). The blood flow of the internal jugular vein at the plane of hyoid was negatively correlated with the Agitation behavior score ( P<0.01). The cross-sectional area of carotid artery at the plane of left hyoid was significantly and positively correlated with the MMSE score ( P<0.05). Statistically significant differences were observed in MMSE, MoCa, ADL and Agitation behavior score before and after surgery ( P<0.01). Conclusion:dcLVA+ shows a certain therapeutic benefit to the elderly patients with cognitive impairment. The intraoperatively observed pathological changes in cervical lymphatic sacs affect deep cervical lymphatic drainage and the blood flow of carotid artery and jugular vein. Further studies are necessary to find out whether the findings from this study would be the specific pathological changes and the morbidity mechanisms among the elderly patients with cognitive impairment.

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

Objective The Hybrid Education Competence Instrument(HybridEduCom)was sinicized,and its reliability and validity were tested.Methods The translation,cultural adjustment and pre-investigation of HybridEduCom were followed by the Brislin translation model.The reliability and validity of the HybridEduCom was tested by surveying 553 educators in medical and nursing related fields by convenience sampling from March to April 2024.Results The Chinese version of HybridEduCom consisted of 46 items in 5 dimensions:planning and resourcing competence,technology competence,interaction competence,digital pedagogy competence,and ethical competence in the hybrid education.The confirmatory factor analysis resulted in the second-order five-factor model,with the chi-square and degree of freedom ratio being 1.274,approximate root mean square error being 0.022,goodness of fit index being 0.913,and standard fit index(NFI)being 0.934,and Tucker-Lewis and comparative fit index being 0.985.All main evaluation indexes were within the acceptable range of the judgment criteria.The item-content validity index was 0.833-1.000,and the scale-content validity index was 0.968.The Cronbach's α for the whole scale was 0.982,while varied from 0.892 to 0.936 for each dimension.The test-retest reliability of the scale was 0.978.Conclusion The reliability and validity of the Chinese version of HybridEduCom were satisfactory,and it can serve as a valid assessment instrument for the implementation of hybrid education competence of Chinese higher medical and nursing educators.

Objective:To investigate the impact of four registration methods on the accuracy of virtual occlusal records (VOR) in intraoral scanning for implant restorations with multiple missing teeth.Methods:A mandibular model simulating clinical conditions with multiple missing teeth (right first molar, left second premolar, left first molar, left second molar) and a maxillary compete dentition model were mounted on a semi-adjustable articulator. Subsequently, twelve 0.5 mm stainless steel spheres were adhered to reference positions (16, 46, 13, 43, 23, 33, 25, 35, 26, 36, 27, 37) as fiducial markers. Following this, a laboratory scanner generated reference datasets by digitizing the models in maximum intercuspation (MIP). Meanwhile, ten maxillary and mandibular scans were acquired using an intraoral scanner, with all nonarticulated scans duplicated four times to ensure data consistency. Forty VOR intraoral scans were performed in MIP using four registration protocols: left-side, right-side, anterior, and bilateral registration ( n=10 per group), randomized via a computer-generated pseudo-random sequence. For measurement, linear distances (D16-46, D13-43, D23-33, D25-35, D26-36, D27-37, D16-46 represented the single-tooth defect position, whereas D25-35, D26-36, D27-37 reflected positions in free-end edentulism areas) between opposing markers were measured in a reverse engineering software, with deviations (ΔD) from the reference scan calculated to assess accuracy. Specifically, negative ΔD values indicated vertical dimension underestimation. Given that non-normally distributed data were analyzed using medians [interquartile ranges (IQR)], trueness (median ΔD) and precision (IQR) were evaluated. The interaction effect between the registration method and the position of the measurement items was evaluated by using the generalized linear model. The accuracy was compared overall by the Kruskal-Wallis test with the two-sided significance level of α=0.05. For pairwise comparisons, post-hoc tests were conducted by Dunn′s t-test with the Bonferroni correction for the significance level. Results:The accuracy of VOR was affected by registration method ( P<0.05), with a significant position×registration method interaction observed ( P<0.05). In particular, in all four groups, only the bilateral registration group showed trueness of less than 0.1 mm for both free-end edentulism and the single tooth defect, with ΔD16-46, ΔD25-35, ΔD26-36, and ΔD27-37 being 0.059 (0.015), -0.082 (0.052), -0.065 (0.032), -0.070 (0.050) mm, respectively. Moreover, trueness in free-end edentulism showed negative values across all groups, with the largest negative deviations observed in the right-side registration group, with ΔD25-35, ΔD26-36 and ΔD27-37 being -0.410 (0.174), -0.442 (0.225), -0.439 (0.262) mm, respectively. Conclusions:In fully digital workflows of implant restorations for mandibular free-end edentulism with multiple missing teeth, registration method critically influences VOR accuracy. While four registration methods exhibited underestimation of occlusal vertical dimension, bilateral registration achieved the highest accuracy.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.