With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

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.

Objective: : The objective of this study was to assess the relationship between spermine synthase (SMS) expression, tumor occurrence, and prognosis in lower-grade gliomas (LGGs). Methods: : A total of 523 LGG patients and 1152 normal brain tissues were included as controls. Mann-Whitney U test was performed to evaluate SMS expression in the LGG group. Functional annotation analysis was conducted to explore the biological processes associated with high SMS expression. Immune cell infiltration analysis was performed to examine the correlation between SMS expression and immune cell types. The association between SMS expression and clinical and pathological features was assessed using Spearman correlation analysis. In vitro experiments were conducted to investigate the effects of overexpressing or downregulating SMS on cell proliferation, apoptosis, migration, invasion, and key proteins in the protein kinase B (AKT)/epithelialmesenchymal transition signaling pathway. Results: : The study revealed a significant upregulation of SMS expression in LGGs compared to normal brain tissues. High SMS expression was associated with certain clinical and pathological features, including older age, astrocytoma, higher World Health Organization grade, poor disease-specific survival, disease progression, non-1p/19q codeletion, and wild-type isocitrate dehydrogenase. Cox regression analysis identified SMS as a risk factor for overall survival. Bioinformatics analysis showed enrichment of eosinophils, T cells, and macrophages in LGG samples, while proportions of dendritic (DC) cells, plasmacytoid DC (pDC) cells, and CD8+ T cells were decreased. Conclusion : High SMS expression in LGGs may promote tumor occurrence through cellular proliferation and modulation of immune cell infiltration. These findings suggest the prognostic value of SMS in predicting clinical outcomes for LGG patients.

Objective: : The objective of this study was to assess the relationship between spermine synthase (SMS) expression, tumor occurrence, and prognosis in lower-grade gliomas (LGGs). Methods: : A total of 523 LGG patients and 1152 normal brain tissues were included as controls. Mann-Whitney U test was performed to evaluate SMS expression in the LGG group. Functional annotation analysis was conducted to explore the biological processes associated with high SMS expression. Immune cell infiltration analysis was performed to examine the correlation between SMS expression and immune cell types. The association between SMS expression and clinical and pathological features was assessed using Spearman correlation analysis. In vitro experiments were conducted to investigate the effects of overexpressing or downregulating SMS on cell proliferation, apoptosis, migration, invasion, and key proteins in the protein kinase B (AKT)/epithelialmesenchymal transition signaling pathway. Results: : The study revealed a significant upregulation of SMS expression in LGGs compared to normal brain tissues. High SMS expression was associated with certain clinical and pathological features, including older age, astrocytoma, higher World Health Organization grade, poor disease-specific survival, disease progression, non-1p/19q codeletion, and wild-type isocitrate dehydrogenase. Cox regression analysis identified SMS as a risk factor for overall survival. Bioinformatics analysis showed enrichment of eosinophils, T cells, and macrophages in LGG samples, while proportions of dendritic (DC) cells, plasmacytoid DC (pDC) cells, and CD8+ T cells were decreased. Conclusion : High SMS expression in LGGs may promote tumor occurrence through cellular proliferation and modulation of immune cell infiltration. These findings suggest the prognostic value of SMS in predicting clinical outcomes for LGG patients.

Objective: : The objective of this study was to assess the relationship between spermine synthase (SMS) expression, tumor occurrence, and prognosis in lower-grade gliomas (LGGs). Methods: : A total of 523 LGG patients and 1152 normal brain tissues were included as controls. Mann-Whitney U test was performed to evaluate SMS expression in the LGG group. Functional annotation analysis was conducted to explore the biological processes associated with high SMS expression. Immune cell infiltration analysis was performed to examine the correlation between SMS expression and immune cell types. The association between SMS expression and clinical and pathological features was assessed using Spearman correlation analysis. In vitro experiments were conducted to investigate the effects of overexpressing or downregulating SMS on cell proliferation, apoptosis, migration, invasion, and key proteins in the protein kinase B (AKT)/epithelialmesenchymal transition signaling pathway. Results: : The study revealed a significant upregulation of SMS expression in LGGs compared to normal brain tissues. High SMS expression was associated with certain clinical and pathological features, including older age, astrocytoma, higher World Health Organization grade, poor disease-specific survival, disease progression, non-1p/19q codeletion, and wild-type isocitrate dehydrogenase. Cox regression analysis identified SMS as a risk factor for overall survival. Bioinformatics analysis showed enrichment of eosinophils, T cells, and macrophages in LGG samples, while proportions of dendritic (DC) cells, plasmacytoid DC (pDC) cells, and CD8+ T cells were decreased. Conclusion : High SMS expression in LGGs may promote tumor occurrence through cellular proliferation and modulation of immune cell infiltration. These findings suggest the prognostic value of SMS in predicting clinical outcomes for LGG patients.

Objective: : The objective of this study was to assess the relationship between spermine synthase (SMS) expression, tumor occurrence, and prognosis in lower-grade gliomas (LGGs). Methods: : A total of 523 LGG patients and 1152 normal brain tissues were included as controls. Mann-Whitney U test was performed to evaluate SMS expression in the LGG group. Functional annotation analysis was conducted to explore the biological processes associated with high SMS expression. Immune cell infiltration analysis was performed to examine the correlation between SMS expression and immune cell types. The association between SMS expression and clinical and pathological features was assessed using Spearman correlation analysis. In vitro experiments were conducted to investigate the effects of overexpressing or downregulating SMS on cell proliferation, apoptosis, migration, invasion, and key proteins in the protein kinase B (AKT)/epithelialmesenchymal transition signaling pathway. Results: : The study revealed a significant upregulation of SMS expression in LGGs compared to normal brain tissues. High SMS expression was associated with certain clinical and pathological features, including older age, astrocytoma, higher World Health Organization grade, poor disease-specific survival, disease progression, non-1p/19q codeletion, and wild-type isocitrate dehydrogenase. Cox regression analysis identified SMS as a risk factor for overall survival. Bioinformatics analysis showed enrichment of eosinophils, T cells, and macrophages in LGG samples, while proportions of dendritic (DC) cells, plasmacytoid DC (pDC) cells, and CD8+ T cells were decreased. Conclusion : High SMS expression in LGGs may promote tumor occurrence through cellular proliferation and modulation of immune cell infiltration. These findings suggest the prognostic value of SMS in predicting clinical outcomes for LGG patients.

OBJECTIVE To establish the HPLC fingerprint of Xintong granules and the quantitative analysis of multi- components by single-marker method （QAMS） to determine the contents of 7 components， so as to provide a scientific basis for their quality control. METHODS HPLC method was used to establish the fingerprints for 10 batches of Xintong granules （No. S1- S10）， and similarity evaluation， cluster analysis （CA） and partial least squares-discriminant analysis （PLS-DA） were performed. At the same time， the contents of seven components， including puerarin， daidzin， calycosin-7-O- β -D-glucoside， stilbene glycoside， naringin， icariin and tanshinone ⅡA， were determined by QAMS method， and were compared with the results of external standard method. RESULTS A total of 18 common peaks were marked and 7 peaks were identified in the HPLC fingerprints for 10 batches of Xintong granules， namely puerarin （peak 4）， daidzin （peak 7）， calycosin-7-O-β-D-glucoside （peak 9）， stilbene glycoside （peak 10）， naringin （peak 12）， icariin （peak 17）， and tanshinone ⅡA （peak 18）； the similarities among them were more than 0.990， and CA and PLS-DA results showed that S4-S5，S8-S10，S1-S3 and S6-S7 were clustered into three categories， respectively. Using naringin as the internal standard， the contents of puerarin， daidzin， calycosin-7-O-β-D-glucoside， stilbene glycoside， icariin and tanshinone ⅡA were determined to be 7.868 1-10.181 2， 1.709 2-2.374 1， 0.285 2-0.326 3， 1.024 1- 1.523 9， 0.140 2-0.290 4， and 0.077 1-0.219 4 mg/g， respectively， by the QAMS. These results showed no significant differences compared to those obtained by the external standard method. CONCLUSIONS Established HPLC fingerprint and QAMS method are convenient， stable and accurate， which can provide a basis for the quality evaluation of Xintong granules.

Objective To construct risk prediction models of death or readmission in patients with acute heart failure(AHF)during the vulnerable phase based on machine learning algorithms and screen the optimal model.Methods A total of 651 AHF patients with admitted to Department of Cardiology of the Second Affiliated Hospital of Army Medical University from October 2019 to July 2021 were included.The clinical data consisting of admission vital signs,comorbidities and laboratory results were collected from electronic medical records.The composite endpoint was defined as all-cause death or readmission for worsening heart failure within 3 months after discharge.The patients were divided into a training set(521 patients)and a test set(130 patients)in a ratio of 8:2 through the simple random sampling.Six machine learning models were developed,including logistic regression(LR),random forest(RF),decision tree(DT),light gradient boosting machine(LGBM),extreme gradient boosting(XGBoost)and neural networks(NN).Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical benefit of the models.Shapley additive explanation(SHAP)was used to explain and evaluate the effect of different clinical characteristics on the models.Results A total of 651 AHF patients were included,of whom 203 patients(31.2%)died or were readmitted during the vulnerable phase.ROC curve analysis showed that the AUC values of the LR,RF,DT,LGBM,XGBoost and NN model were 0.707,0.756,0.616,0.677,0.768 and 0.681,respectively.The XGBoost model had the highest AUC value.DCA showed that the XGBoost model exhibited greater clinical net benefit compared with other models,with the best predictive performance.SHAP algorithm analysis showed that the clinical features that had the greatest impact on the output of the model were serum uric acid,D-dimer,mean arterial pressure,B-type natriuretic peptide,left atrial diameter,body mass index,and New York Heart Association(NYHA)classification.Conclusion The XGBoost model has the best predictive performance in predicting the risk of death or readmission of AHF patients during the vulnerable phase.

BACKGROUND:Endogenous neurogenesis and exogenous stem cell transplantation in the brain show great therapeutic potential for neurological diseases including ischemic stroke,repairing and replacing lost neurons,promoting synaptic remodeling,and inhibiting apoptosis.Traditional Chinese medicine and compound therapy for supplementing qi,activating blood circulation and inducing resuscitation for the treatment of neurological dysfunction after ischemia have certain advantages,targeting nerve repair through a variety of ways,including promoting endogenous neurogenesis and exogenous stem cell survival,proliferation,homing,and inducing neuronal differentiation. OBJECTIVE:To summarize the mechanism of traditional Chinese medicine and compound for supplementing qi,activating blood circulation and inducing resuscitation to promote nerve repair in the acute phase of ischemic stroke,in order to provide a reference for the research and treatment of new drugs in ischemic stroke. METHODS:The articles from CNKI and PubMed databases about traditional Chinese medicine and compound for supplementing qi,activating blood circulation and inducing resuscitation in promotion of nerve repair in the acute phase of ischemic stroke from 2010 to 2022 were searched,with"supplementing qi and activating blood circulation;inducing resuscitation;traditional Chinese medicine(TCM);compounds;ischemic stroke;nerve repair;stem cells"as Chinese and English search terms.After excluding old and duplicate views,the retrieved literature was analyzed and collated,and a total of 124 articles were included for analysis. RESULTS AND CONCLUSION:(1)The definition of stem cells,ischemic stroke and the nerve repair pathway in the acute phase of ischemic stroke were sorted out.(2)The mechanism of action of traditional Chinese medicine and compound for supplementing qi,activating blood circulation and inducing resuscitation to promote nerve repair in the acute phase of ischemic stroke was summarized,mainly including promoting stem cell proliferation,improving stem cell viability and survival rate,promoting nerve cell homing,inducing stem cell differentiation to neurons,inhibiting apoptosis of nerve cells,promoting axon regeneration,regulating angiogenesis and remodeling,improving the level of neurotrophic factors and repairing the integrity of the blood-brain barrier.(3)Through the existing research,the relevant factors and signaling pathways of traditional Chinese medicines and compounds for supplementing qi,activating blood circulation and inducing resuscitation to promote nerve repair in the acute phase of ischemic stroke were summarized,such as Nestin protein expression,DCX protein expression,brain-derived neurotrophic factor,vascular endothelial growth factor and Wnt/β-catenin signaling pathway,Notch signaling pathway,PI3k/Akt signaling pathway,BDNF/TrkB signaling pathway and ERK/MAPK signaling pathway.It provides a relevant reference for future research on ischemic stroke-specific drugs and new clinical treatment methods.

BACKGROUND:Establishing a stable and reliable animal model of acute pancreatitis is of great significance for understanding its pathogenesis,pathophysiological characteristics,and clinical medication.Domestic and foreign studies have shown that cerulein,L-arginine,and sodium taurocholate can induce acute pancreatitis,but their pathophysiological characteristics and model characteristics are still unclear. OBJECTIVE:To establish an acute pancreatitis rat model using cerulein,L-arginine,and sodium taurocholate and to observe the changing patterns of model features at different time points. METHODS:Ninety-six healthy male Sprague-Dawley rats were randomly divided into normal group,cerulein group,L-arginine group,and sodium taurocholate group,with 24 rats in each group.Within each group,there were three subgroups(n=8 per group):12-,24-,and 48-hour subgroups.Cerulein was administered via intraperitoneal injection six times with a 1-hour interval.L-arginine was administered through two intraperitoneal injections with a 1-hour interval.Sodium taurocholate was injected for inducing acute pancreatitis models through retrograde injection into the bile-pancreatic duct.By examining the rat survival rate,gross morphology of the pancreas,calculating the pancreatic organ index,and measuring levels of amylase,lipase,alanine transaminase,aspartate transaminase,blood urea nitrogen,and creatinine,as well as observing pancreatic tissue pathological features through hematoxylin-eosin staining and conducting a pancreatic injury scoring,we evaluated the changing patterns of model features at different time points. RESULTS AND CONCLUSION:Compared with the normal group,the overall survival rate of rats was 100%in the cerulein group,88%in the L-arginine group,and 96%in the sodium taurocholate group.The pancreatic organ index was increased in all groups.Gross observation indicated that,In the cerulein group,pancreatic edema,blurred lobes,and looseness were visible.In the L-arginine group,the pancreatic glands were enlarged and thickened with patchy bleeding.In the sodium taurocholate group,pancreatic tissue showed varying degrees of congestion and edema accompanied by scattered flakes of hemorrhage and necrosis.The levels of serum alanine transaminase,aspartate transaminase,blood urea nitrogen,creatinine,amylase,and lipase in rats exhibited consistent changes.In the cerulein group,these parameters possibly peaked at 12 hours(P<0.05)and then showed a declining trend.In the L-arginine group,they reached the highest levels at 24 hours(P<0.05)and significantly decreased at 48 hours.In the sodium taurocholate group,serum amylase and lipase remained at higher levels at 12 hours with a slow decline trend(P<0.05).Compared with the normal group,microscopic examination revealed mild acinar edema and widened interlobular spaces in the cerulein group,with a higher presence of inflammatory cells.In the L-arginine group,there was widening of interlobular spaces,extensive infiltration of inflammatory cells,and patchy necrotic areas.In the sodium taurocholate group,significant pancreatic edema,structural disarray,extensive necrotic foci,and inflammatory cell infiltration were observed.Compared with the normal group,the pathological scores of induced acute pancreatitis in all three models were significantly different at each time point(P<0.05).Moreover,the pathological scores in each group increased over time,indicating a gradual worsening of pancreatic tissue damage.When comparing different models at the same time,there were differences in pathological scores,with the sodium taurocholate group having the highest scores,followed by the L-arginine group,and the cerulein group having the lowest scores.Analyzing the three models at the same time point,the most severe condition was in the sodium taurocholate group,which was characterized by pancreatic hemorrhage and necrosis,followed by the L-arginine group,which was characterized by necrosis,and the least severe condition was in the cerulein group,mainly characterized by edema.The serum biochemical index levels of the cerulein and L-arginine groups decreased at 48 hours,indicating that these two models may have a tendency to self-heal and belong to a self-limiting disease course.The serum biochemical index levels of the sodium taurocholate group decreased slowly after 12 hours.Therefore,pancreatic injury in the sodium taurocholate group might not be relieved after 48 hours or longer.