BACKGROUND/OBJECTIVES: Stroke represents the primary cause of death and persistent disability globally, leading to around 5.5 million annual patient fatalities. The objective was to explore the relationship of dietary fiber with all-cause and cardiovascular disease (CVD) mortality risk in patients with stroke. SUBJECTS/METHODS: We extracted stroke patients’ data from the National Health and Nutrition Examination Survey (NHANES) database. All-cause and CVD mortality were outcomes. Dietary fiber consists of non-digestible forms of carbohydrates, usually polysaccharides that originate from plant-based foods. Covariates including demographic data, vital signs, comorbidities, laboratory parameters, and medication use were screened using the weighted multivariate Cox regression models with backward elimination. Weighted univariate and multivariate Cox regression models were performed to explore the relationship between dietary fiber intake and all-cause/CVD mortality, with hazard ratios (HRs) and 95% confidence intervals (CIs). The association was further investigated in different subgroups. RESULTS: A total of 1,578 patients with stroke were included, of whom 688 (43.6%) died.Total fiber and vegetable fiber intake were analyzed as categorical variables, and the lowest intake was considered reference groups. High intake of total fiber (HR, 0.73; 95% CI, 0.57–0.94) and high intake of vegetable fiber (HR, 0.63; 95% CI, 0.48–0.82) were related to lower all-cause mortality risk in individuals with stroke. Similar findings were also observed between higher total fiber (HR, 0.56; 95% CI, 0.37–0.85) and vegetable fiber intake (HR, 0.57; 95% CI, 0.36–0.89) with decreased CVD mortality risk. The relationship between higher total fiber intake and lower all-cause mortality risk was discovered in individuals aged ≥ 60 yrs, smoking, non-CVD, and chronic kidney disease (CKD). High total fiber, or vegetable fiber consumption was linked to lower CVD mortality risk in stroke individuals aged ≥ 60 yrs, females, body mass index ≥ 30 kg/m 2 , non-smoking, and CKD. CONCLUSION Dietary fiber intake and vegetable fiber intake may benefit the prognosis of patients with stroke. Increasing dietary fiber consumption, especially vegetable fiber intake, potentially benefits the prognosis of stroke patients.

Crohn's disease（CD）is a chronic non-specific inflammatory bowel disease with unclear etiology and pathogenesis. Endoscopy combined with pathological examination remains the gold standard for diagnosing and monitoring CD activity. However，endoscopy is limited to the mucosal surface and intestinal lumen，making it difficult to assess the full thickness of the intestinal wall and extraintestinal conditions，and it cannot reach the proximal end of a narrowed intestinal segment. Additionally，endoscopic biopsy is invasive，requires thorough bowel preparation，and is poorly tolerated by infants and young children.This article reviews recent research advances in non-invasive examination methods for CD patients，including non-invasive biomarkers in blood and stool，as well as non-invasive imaging techniques，and their potential applications in the diagnosis and treatment of CD. By integrating these biomarkers with clinical parameters，it is possible to reduce reliance on invasive testing，optimize personalized treatment strategies，and enable early identification of disease activity and remission status. This comprehensive approach allows for more accurate assessment of disease progression，adjustment of treatment plans，and the delivery of more precise and individualized care for CD patients，ultimately improving their prognosis and quality of life.

Cardiac fibrosis is characterized by an elevated amount of extracellular matrix (ECM) within the heart. However, the persistence of cardiac fibrosis ultimately diminishes contractility and precipitates cardiac dysfunction. Circular RNAs (circRNAs) are emerging as important regulators of cardiac fibrosis. Here, we elucidate the functional role of a specific circular RNA CELF1 in cardiac fibrosis and delineate a novel feedback loop mechanism. Functionally, circ-CELF1 was involved in enhancing fibrosis-related markers' expression and promoting the proliferation of cardiac fibroblasts (CFs), thereby exacerbating cardiac fibrosis. Mechanistically, circ-CELF1 reduced the ubiquitination-degradation rate of BRPF3, leading to an elevation of BRPF3 protein levels. Additionally, BRPF3 acted as a modular scaffold for the recruitment of histone acetyltransferase KAT7 to facilitate the induction of H3K14 acetylation within the promoters of the Celf1 gene. Thus, the transcription of Celf1 was dramatically activated, thereby inhibiting the subsequent response of their downstream target gene Smad7 expression to promote cardiac fibrosis. Moreover, Celf1 further promoted Celf1 pre-mRNA transcription and back-splicing, thereby establishing a feedback loop for circ-CELF1 production. Consequently, a novel feedback loop involving CELF1/circ-CELF1/BRPF3/KAT7 was established, suggesting that circ-CELF1 may serve as a potential novel therapeutic target for cardiac fibrosis.

BACKGROUND/OBJECTIVES: Stroke represents the primary cause of death and persistent disability globally, leading to around 5.5 million annual patient fatalities. The objective was to explore the relationship of dietary fiber with all-cause and cardiovascular disease (CVD) mortality risk in patients with stroke. SUBJECTS/METHODS: We extracted stroke patients’ data from the National Health and Nutrition Examination Survey (NHANES) database. All-cause and CVD mortality were outcomes. Dietary fiber consists of non-digestible forms of carbohydrates, usually polysaccharides that originate from plant-based foods. Covariates including demographic data, vital signs, comorbidities, laboratory parameters, and medication use were screened using the weighted multivariate Cox regression models with backward elimination. Weighted univariate and multivariate Cox regression models were performed to explore the relationship between dietary fiber intake and all-cause/CVD mortality, with hazard ratios (HRs) and 95% confidence intervals (CIs). The association was further investigated in different subgroups. RESULTS: A total of 1,578 patients with stroke were included, of whom 688 (43.6%) died.Total fiber and vegetable fiber intake were analyzed as categorical variables, and the lowest intake was considered reference groups. High intake of total fiber (HR, 0.73; 95% CI, 0.57–0.94) and high intake of vegetable fiber (HR, 0.63; 95% CI, 0.48–0.82) were related to lower all-cause mortality risk in individuals with stroke. Similar findings were also observed between higher total fiber (HR, 0.56; 95% CI, 0.37–0.85) and vegetable fiber intake (HR, 0.57; 95% CI, 0.36–0.89) with decreased CVD mortality risk. The relationship between higher total fiber intake and lower all-cause mortality risk was discovered in individuals aged ≥ 60 yrs, smoking, non-CVD, and chronic kidney disease (CKD). High total fiber, or vegetable fiber consumption was linked to lower CVD mortality risk in stroke individuals aged ≥ 60 yrs, females, body mass index ≥ 30 kg/m 2 , non-smoking, and CKD. CONCLUSION Dietary fiber intake and vegetable fiber intake may benefit the prognosis of patients with stroke. Increasing dietary fiber consumption, especially vegetable fiber intake, potentially benefits the prognosis of stroke patients.

Objective:To provide theoretical support and practice model for improving the clinical medical education supervision system of university-affiliated hospitals.Methods:This study focused on the group of reserve teaching supervision experts. Through literature research, questionnaire survey, and expert interview, the Competency Evaluation Criteria for Reserve Teaching Supervision Experts was constructed, which was implemented according to the training framework of "theory, practice, summary, and feedback". The paired t-test was performed using SPSS 24.0. Results:The research team formulated the Competency Evaluation Criteria for Reserve Teaching Supervision Experts through expert interviews. Six basic competencies and three advanced competencies for reserve teaching supervision experts were identified and their weights were assigned. A supervision team was established with supervision experts (including reserve teaching supervision experts) and teaching staff at a ratio of 1∶6.9, achieving an increase in the coverage of supervised specialties. A toolkit for enhancing the supervision capabilities of reserve experts was developed, and its effectiveness was analyzed. Statistical analysis showed that the overall score gap between reserve teaching supervision experts and senior supervision experts gradually narrowed. In terms of teaching demeanor and teaching effectiveness, there were no significant differences between the two types of experts. However, in terms of teaching content scores, there was a significant difference between reserve teaching supervision experts and senior supervision experts ( P<0.05). Conclusions:The training mechanism of reserve teaching supervision experts can effectively bridge the structural defects of the traditional supervision team. However, further emphasis is needed on the standardization and professionalization of teaching content supervision.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Glioblastoma multiforme(GBM)is a grade 4 glioma with the highest malignancy and invasiveness in the central nervous system,accounting for approximately 30％of all tumors in the central nervous system.Due to the unclear pathogenesis of GBM,there is currently no specific target for the treatment of GBM.Temozolomide(TMZ)is the only first-line chemotherapeutic drug for the treatment of GBM,but suffers from a low drug response rate and high susceptibility to drug resistance.Therefore,the development of new targets and novel GBM therapeutic agents is an urgent clinical problem.Pentraxin 3(PTX3),a member of the pentameric protein superfamily,has been shown to have a promotive effect on a variety of tumors.Increasing evidences showed that PTX3 played a crucial role in the progression of GBM.PTX3 can promote the proliferation,migration and invasion ability of GBM cells,increase the angiogenesis ability in the GBM microenvironment and malignant progression of GBM.In the article,the structure,physiological function,expression regulation,role and mechanism of PTX3 in GBM were mainly reviewed,with a view to provide guidance for PTX3 as a potential drug target for the treatment of GBM.

Objective To investigate the effect and mechanism of miglitol on regulating the energy metabolism of brown adipocytes by activating UCP1 and preventing cold injury in mice after cold exposure. Methods Primary brown adipocytes were induced into mature adipocytes, the effect of miglitol on the viability of brown adipocytes was investigated by MTT method, the lipid droplet consumption level of cells after drug administration was investigated by Oil Red O staining technology, and the level of UCP1, a key protein of thermogenesis in brown adipocytes, was detected by Western blotting. The activity of anti-frostbite was investigated in cold exposure at 4 ℃ and −20 ℃. KM mice, which were randomly divided into control group, cold exposure group, miglitol group and all-trans retinoic acid group, and after 7 days of repeated administration, the body surface temperature of mice was detected by infrared thermal imaging system, the anal temperature change was detected by anal thermometer, and the expression levels of UCP1 and PGC1-α in adipose tissue were detected by immunoblotting. Results Compared with the control group, the lipid droplet consumption and UCP1 expression levels in brown adipocytes in the miglitol group were significantly increased. The levels of body surface temperature and rectal temperature increased significantly after cold exposure, and the levels of UCP1 and PGC1α in the brown adipose tissue of mice increased significantly, which indicated that the miglitol could activate the critical proteins UCP1 and PGC1α of the thermogenesis pathway, increase the thermogenesis of mice after cold exposure, and thus improve the effect of cold injury for toe swelling. Conclusion Miglitol could play a role in improving cold injury and body temperature in mice by increasing the level of UCP1 and PGC1α, which are key targets of the thermogenesis pathway to promote the thermogenesis of brown fat.

BACKGROUND/OBJECTIVES: Stroke represents the primary cause of death and persistent disability globally, leading to around 5.5 million annual patient fatalities. The objective was to explore the relationship of dietary fiber with all-cause and cardiovascular disease (CVD) mortality risk in patients with stroke. SUBJECTS/METHODS: We extracted stroke patients’ data from the National Health and Nutrition Examination Survey (NHANES) database. All-cause and CVD mortality were outcomes. Dietary fiber consists of non-digestible forms of carbohydrates, usually polysaccharides that originate from plant-based foods. Covariates including demographic data, vital signs, comorbidities, laboratory parameters, and medication use were screened using the weighted multivariate Cox regression models with backward elimination. Weighted univariate and multivariate Cox regression models were performed to explore the relationship between dietary fiber intake and all-cause/CVD mortality, with hazard ratios (HRs) and 95% confidence intervals (CIs). The association was further investigated in different subgroups. RESULTS: A total of 1,578 patients with stroke were included, of whom 688 (43.6%) died.Total fiber and vegetable fiber intake were analyzed as categorical variables, and the lowest intake was considered reference groups. High intake of total fiber (HR, 0.73; 95% CI, 0.57–0.94) and high intake of vegetable fiber (HR, 0.63; 95% CI, 0.48–0.82) were related to lower all-cause mortality risk in individuals with stroke. Similar findings were also observed between higher total fiber (HR, 0.56; 95% CI, 0.37–0.85) and vegetable fiber intake (HR, 0.57; 95% CI, 0.36–0.89) with decreased CVD mortality risk. The relationship between higher total fiber intake and lower all-cause mortality risk was discovered in individuals aged ≥ 60 yrs, smoking, non-CVD, and chronic kidney disease (CKD). High total fiber, or vegetable fiber consumption was linked to lower CVD mortality risk in stroke individuals aged ≥ 60 yrs, females, body mass index ≥ 30 kg/m 2 , non-smoking, and CKD. CONCLUSION Dietary fiber intake and vegetable fiber intake may benefit the prognosis of patients with stroke. Increasing dietary fiber consumption, especially vegetable fiber intake, potentially benefits the prognosis of stroke patients.