Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

As people's living standards improve， the development trend of diabetes has gradually become severe. Diabetes is a chronic inflammatory disease associated with abnormal expression of nuclear factor-kappa B （NF-κB） in patients. NF-κB exists in various tissue cells and participates in the regulation of a variety of genes related to immune function and inflammation. Varieties of factors can activate NF-κB when the body is stimulated by external factors， so as to produce inflammation and other reactions. Previous studies on NF-κB mainly focus on cancer， and the pathological mechanism of the treatment of diabetes by related signaling pathways and the progress of traditional Chinese medicine （TCM） treatment have not been systematically elaborated on. By referring to the relevant literature in China and abroad， it was found that NF-κB is not isolated in the development and progression of diabetes but is associated with signal molecules related to inflammation， oxidative stress， and energy metabolism， and it is involved in mediating inflammation， pancreatic β cell apoptosis， insulin signal transduction， and other physiological functions. Therefore， blocking the transmission of NF-κB signaling pathway is beneficial to the treatment of diabetes. At present， Western medicine for the treatment of diabetes mainly includes oral hypoglycemic drugs and insulin injections， but the adverse reactions are obvious. TCM has been characterized by multi-target， extensive action， and excellent curative effects in the treatment of diabetes. TCM and its compounds with functions of tonifying Qi and promoting blood circulation， regulating qi and eliminating phlegm， clearing heat and detoxifying， and nourishing Yin and moistening dryness can effectively intervene in the abnormal expression of NF-κB signaling pathway in vivo through anti-inflammatory effects. In this paper， the association between NF-κB signaling pathway and diabetes was summarized， and the modern research progress of TCM intervention of NF-κB signaling pathway in the treatment of diabetes in the past five years was reviewed， so as to lay a laboratory foundation for the study of a new pathological mechanism of diabetes based on NF-κB signaling pathway and provide new targets and research direction for the prevention and treatment of diabetes and development of related TCM.

Objective: To assess the exposure levels of lead, cadmium, mercury, arsenic and aluminum in the diets of residents in Henan Province, so as to provide the basis for strengthening food safety supervision. Methods: Six sampling points were selected using stratified random sampling method in Henan Province, including Hebi City, Xiangfu District of Kaifeng City, Jianxi District of Luoyang City, Yuzhou City, Baofeng County and Tanghe County. Food samples were collected and processed into mixed samples of 12 major food categories. The levels of lead, cadmium, mercury, arsenic and aluminum in the samples were measured using inductively coupled plasma mass spectrometry (ICP-MS). Dietary consumption information in Henan Province was collected. The dietary exposure risks of lead, cadmium, mercury, arsenic and aluminum were analyzed using the point estimation method and distribution point estimation method, based on the health guidance values of the Joint FAO/WHO Expert Committee on Food Additives and the margin of exposure (MOE) as the assessment criteria. Results: The dietary exposure level of lead among residents in Henan Province was 41.89 μg/d, which was equivalent to 18.62% of its provisional tolerable weekly intake (PTWI), with cereals and vegetables being the main sources; the MOE values of lead among residents aged 2 to <7 years and 7 to <13 years were both less than 1. The dietary exposure level of cadmium was 10.79 μg/d, which was equivalent to 20.55% of the provisional monthly tolerable intake, with cereals and vegetables being the main sources. The dietary exposure level of total mercury was 0.45 μg/d, which was equivalent to 1.25% of its PTWI, with cereals, vegetables, and water and beverage categories being the main sources; the dietary exposure level of methylmercury was 0.04 μg/d, which was equivalent to 0.28% of its PTWI, and it was entirely derived from aquatic products. The dietary exposure level of total arsenic was 26.65 μg/d, which was equivalent to 0.89% of the daily allowable intake, with cereals and vegetables being the main sources; the dietary exposure level of inorganic arsenic was 8.41 μg/d, which was equivalent to 6.23% of its PTWI, with an MOE value of 22.47. The dietary exposure level of aluminum was 8.27 mg/d, which was equivalent to 45.94% of its PTWI, with cereals and tubers being the main sources; the P90 and P97.5 of dietary aluminum exposure among residents aged 2 to <7 years and 7 to <13 years were both greater than PTWI. Conclusion The overall dietary exposure risks of lead, cadmium, mercury, arsenic and aluminum among residents in Henan Province are relatively low.

Objective:To investigate the current situation of coping styles in Crohn's disease patients and its related influencing factors.Methods:A total of 80 patients with Crohn's disease admitted to our hospital from Apri 2021 to Dec 2022 were selected to evaluate their coping styles with a simple coping style questionnaire,and relevant data were collected.The factors affecting the coping styles of Crohn's disease were analyzed by multivariable logistic regression.Results:Among the 80 patients,29 cases were negative coping,the incidence was 36.25% .There were 51 patients with positive coping(63.75% ).Educational level,simplified Crohn's disease activity index(CDAI)score,adverse psychology,social support and type D personality were associated with negative coping(P＜0.05).Gender,age,family history,working status,monthly family income,place of residence,and marital status were not associated with negative coping in patients with Crohn's disease(P＞0.05).Multivariable logistic regression analysis showed that education level of high school or below(OR=2.945,95% CI:1.139-7.614),higher CDAI score(OR=11.999,95% CI:4.387-32.815),poor psychology(OR=5.950,95% CI:2.180-16.239),low social support(OR=3.598,95% CI:1.370-9.448)and type D personality(OR=3.208,95% CI:1.118-8.904)were risk factors for negative coping in patients with Crohn's disease(P＜0.05).Conclusions:The incidence of negative coping in patients with Crohn's disease is higher,which is related to high school education or below,high CDAI score,poor psychology,low social support,and type D personality.Therefore,clinical measures can be taken to promote patients to actively cope with the disease.

ObjectiveSorafenib is a first-line only drug approved for the treatment of advanced hepatocellular carcinoma (HCC). Resistance to sorafenib means that treatment outcomes are often unsatisfactory. Although the mechanism underlying sorafenib resistance remains unclear, resistance may occur through Akt signaling pathway activation in HCC. Dihydrotanshinone (DHT), a lipophilic component of traditional Chinese medicine Salvia miltiorrhiza Bunge, has multiple anti-tumor activities and inhibits Akt activation. The effect and mechanism of DHT combined with sorafenib on HCC have not been investigated. In this study, we investigate whether DHT potentiates the anti-cancer activities of sorafenib against HCC. MethodsIn this study, the effects of sorafenib and DHT on the viability, apoptosis and drug sensitivity of Huh7 and HepG2 cells were verified by Cell Counting Kit-8 (CCK-8) and flow cytometry. Akt, P-Akt, Caspase3, GSK-3β, P-GSK-3β, ribosomal protein S6 kinase (S6K), P-S6K, Cyclin D1, Bcl-xl, Bcl-2, and Bax expression levels were analyzed via Western blot. All data were statistically compared using one-way analysis of variance (ANOVA) and Dunnett test. Statistical analysis using SPSS 20.0 statistical software. ResultsDHT inhibit proliferation and promote apoptosis in HCC cells by reducing Akt activation. DHT inhibits the expression and activation of Akt downstream factors, including GSK-3β and S6K, which regulate the apoptotic response and are activated and upregulated by sorafenib treatment. Both sorafenib and DHT downregulate cyclin D1 expression and DHT upregulates Bax expression and downregulates Bcl-2 and Bcl-xl expression. However, sorafenib had little influence on Bcl-2 family protein expression. ConclusionDHT may enhance the proliferation inhibition and apoptosis induction of sorafenib in HCC cells by inhibiting the activation of Akt signaling pathway, thus enhancing the anticancer effect of sorafenib.

[Objective] To investigate the pathological characteristics of false-positive lesions of prostate cancer on ⁶⁸Ga-PSMA-11 PET/CT based on the pathology of whole mount specimens, in order to more accurately assess the degree of malignancy within the prostate tissue and avoid overdiagnosis and unnecessary treatment. [Methods] A total of 77 patients who underwent ⁶⁸Ga-PSMA-11 PET/CT before radical prostatectomy in Nanjing Drum Tower Hospital during Jan.2018 and Dec.2022 were retrospectively analyzed.The pathology of whole mount specimens was detected.Two nuclear physicians examined all imaging plates without knowing the pathological results.Two pathological physicians completed all pathological diagnosis without knowing the imaging results.The pathological characteristics of false-positive lesions were determined by matching ⁶⁸Ga-PSMA-11 PET/CT and pathological specimens.To analyze the pathological features of false-positive lesions, true-negative lesions were randomly delineated and defined.The pathological features of false-positive and true-negative lesions were analyzed and compared using Fisher exact test. [Results] After the imaging and pathological sections were matched, 21(16.3%) false-positive lesions were identified.The pathological characteristics of the 21 false-positive lesions were as follows: 16 (76.2%) simple atrophy with cyst formation, 3(14.3%) prostatic nodular hyperplasia, and 2(9.5%) inflammation.The pathological characteristics of 21 true-negative lesions were: 13(61.9%) normal glands, 5(23.8%) prostatic nodular hyperplasia and 3(14.3%) simple atrophy with cyst formation.Fisher exact test showed that the proportion of simple atrophy with cyst formation in the pathological features of false-positive lesions and true-negative lesions was statistically significant (76.2% vs.14.3%, P<0.001). [Conclusion] Simple atrophy with cyst formation may be a characteristic pathological type of the false-positive lesions of prostate cancer on ⁶⁸Ga-PSMA-11 PET/CT.