Background: Disorders of the blood-brain barrier (BBB) arising from diabetes mellitus are closely related to diabetic encephalopathy. Previous research has suggested that neuron-glia antigen 2 (NG2)-glia plays a key role in maintaining the integrity of the BBB. However, the mechanism by which NG2-glia regulates the diabetic BBB remains unclear. Methods: Type 2 diabetes mellitus (T2DM) db/db mice and db/m mice were used. Evans-Blue BBB permeability tests and transmission electron microscopy techniques were applied. Tight junction proteins were assessed by immunofluorescence and transmission electron microscopy. NG2-glia number and signaling pathways were evaluated by immunofluorescence. Detection of matrix metalloproteinase-9 (MMP-9) in serum was performed using enzyme-linked immunosorbent assay (ELISA). Results: In T2DM db/db mice, BBB permeability in the hippocampus significantly increased from 16 weeks of age, and the structure of tight junction proteins changed. The number of NG2-glia in the hippocampus of db/db mice increased around microvessels from 12 weeks of age. Concurrently, the expression of MMP-9 increased in the hippocampus with no change in serum. Sixteen- week-old db/db mice showed activation of the Wnt/β-catenin signaling in hippocampal NG2-glia. Treatment with XAV-939 improved structural and functional changes in the hippocampal BBB and reduced MMP-9 secretion by hippocampal NG2-glia in db/db mice. It was also found that the upregulation of β-catenin protein in NG2-glia in the hippocampus of 16-week-old db/db mice was significantly alleviated by treatment with XAV-939. Conclusion The results indicate that NG2-glia can lead to structural and functional disruption of the diabetic BBB by activating Wnt/β-catenin signaling, upregulating MMP-9, and degrading tight junction proteins.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

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.

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 explore the clinical characteristics of patients with diffuse large B-cell lymphoma (DLBCL) accompanied with KMT2D gene mutation and the impact of its co-mutated genes on prognosis. Methods Clinical data of 155 newly diagnosed DLBCL patients were obtained. The second-generation sequencing method was used to detect 475 hotspot genes, including KMT2D mutation. Patients were divided into the KMT2D mutation group and KMT2D wild-type group based on the presence or absence of KMT2D gene mutation. Clinical characteristics, differences in co-mutated genes, and survival differences between the two groups were compared. Results The frequency of KMT2D mutation was 31%, which is predominantly observed in elderly patients (P=0.07) and less in the double-expressor phenotype (P=0.07). Compared with the KMT2D wild-type group, KMT2D gene mutation was associated with higher co-mutation rates of CDKN2A (OR=2.82, P=0.01) and BCL2 (OR=3.84, P=0.016), while being mutually exclusive with MYC gene mutation (OR=0.11, P=0.013). In univariate survival analysis, no statistically significant difference in overall survival (OS) was found between the KMT2D mutation group and the wild-type group (P=0.54). Further analysis of the prognostic significance of KMT2D with other gene mutations indicated that patients with KMT2D^mutBTG2^mut had poorer OS than those with KMT2D^wt BTG2^mut (P=0.07) and KMT2D^wt BTG2^wt (P=0.05). On the contrary, patients with KMT2D^mut CD79B^mut had better OS than those with KMT2D^mut CD79B^wt (P=0.09), with no prognostic impact observed for other co-mutated genes. Multivariate Cox regression analysis revealed that Ann Arbor stages Ⅲ and Ⅳ (HR=2.751, 95%CI: 1.169-6.472, P=0.02), elevated LDH levels (HR=2.461, 95%CI: 1.396-4.337, P=0.002), Ki-67 index>80% (HR=1.875, 95%CI: 1.066-3.299, P=0.029), and KMT2D^mutBTG2^mut(HR=4.566, 95%CI: 1.348-15.471, P=0.015) were independent risk factors for OS in patients with DLBCL (P<0.05). Conclusion DLBCL patients with KMT2D mutation often have multiple gene mutations, among which patients with a co-mutated BTG2 gene have poor prognosis.

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 compare the efficacy of Ilizarov ring external fixation and unilateral rail external fixation in the treatment of infected bone defects following surgery for tibial fractures.Methods:A retrospective cohort study was conducted to analyze the clinical data of 50 patients with infected bone defects after surgery for tibial fractures, who were admitted to the 940th Hospital of the Joint Logistics Support Force of the PLA from August 2019 to November 2021, including 37 males and 13 females, aged 19-59 years [(42.2±8.8)years]. After debridement and osteotomy, 28 patients were treated with Ilizarov ring external fixation (Ilizarov group) and 22 with unilateral rail external fixation (unilateral fixation group). All the patients in the two groups had previously undergone internal fixation with plates or Kirschner wires for tibial fracture before bone transport. Bone transport started at one week for three stages after successful infection control and osteotomy and was conducted. The following parameters were compared between the two groups: frame-wearing time and healing index after bone transport, self-rating anxiety scale (SAS) grade at 6 months after bone transport, Paley score and Association for the Study and Application of the Method of Ilizarov (ASAMI) score at the last follow-up, Hospital for Special Surgery (HSS) knee score and Baird-Jackson ankle score on admission, after external fixator removal and at the last follow-up, and incidence of postoperative complications.Results:All the patients were followed up for 28-36 months [(32.5±1.6)months]. There were no significant differences in frame-wearing time or healing index between the two groups after bone transport ( P>0.05). At 6 months after bone transport, the SAS grade in the unilateral fixation group (13 patients with mild anxiety, 8 with moderate anxiety, and 1 with severe anxiety) was better than that in the Ilizarov group (6 patients with mild anxiety, 19 with moderate anxiety, 3 with severe anxiety) ( P<0.01). No significant differences were found in the Paley score or ASAMI score between the two groups at the last follow-up ( P>0.05). There were no significant differences in HSS knee score or Baird-Jackson ankle score between the two groups on admission, after external fixator removal or at the last follow-up ( P>0.05). No significant differences were observed in the incidence of pin tract infection, poor healing, infection in the bone elongation area, or re-fracture between the two groups ( P>0.05). The incidence of postoperative axial deviation was 0 in the Ilizarov group, lower than 18% in the unilateral fixation group (4/22) ( P<0.05). Conclusion:Although Ilizarov ring external fixation and unilateral rail external fixation demonstrate comparable efficacy in the treatment of infected bone defects after surgery for tibial fractures, the former provides superior mechanical stability and postoperative axial deviation correction, while the latter offers advantages in reducing psychological burden and enhancing treatment tolerance.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.

Objective:To explore the efficacy and prognosis of hepatectomy via Laennec membrane approach in patients with hepatocellular carcinoma (HCC).Methods:The data of 98 patients with HCC who underwent hepatectomy in the First Affiliated Hospital of Soochow University from January 2016 to December 2022 were retrospectively analyzed, including 76 males and 22 females, aged 61.0 (55.0, 66.0) years. Forty-eight patients treated with Laennec membrane approach hepatectomy were included in the study group and 50 patients treated with traditional approach hepatectomy were included in the control group. The age, gender, combined hypertension and diabetes, aspartate transaminase, alanine transaminase, albumin, total bilirubin, prealbumin, platelet, alpha-fetoprotein, carbohydrate antigen 19-9 and carbohydrate antigen 125 were compared between the two groups. The surgical bleeding, operation time and complications (abdominal bleeding, bile leakage, poor incision healing, etc.) were compared between the two groups. The prognosis of the two groups was compared.Results:There were no significant differences in gender, age, underlying diseases, preoperative biochemical and tumor serological indexes between the two groups (all P>0.05). The operation time of the study group was 180.0 (141.3, 227.3) min, which was lower than that of the control group 221.5 (187.5, 256.3) min ( Z=-0.41, P=0.002). The intraoperative blood loss in the study group was 295.0 (127.5, 350.0) ml, which was lower than that in the control group 300.0 (200.0, 500.0) ml, and the difference was statistically significant ( Z=-1.97, P=0.003). The levels of aspartate transaminase and alanine transaminase 1 week after surgery in the study group were 33.4 (24.0, 43.8) U/L and 64.5 (38.3, 119.1) U/L, respectively, which were lower than those in the control group 41.3 (29.7, 63.0) U/L and 102.8 (50.1, 140.7) U/L, the differences were statistically significant ( Z=-2.09, -2.38, P=0.035, 0.028). Postoperative complications occurred in 8 cases (16.7%) in the study group and 10 cases (20.0%) in the control group, with no significant difference between the two groups ( χ2=0.18, P=0.670). The median overall survival was 16 months in the study group and 18 months in the control group, respectively. There was no significant difference in cumulative survival between the two groups ( χ2=1.41, P=0.130). Conclusion:Laennec membrane approach hepatectomy can not only shorten the operation time and reduce the amount of blood loss, but also promote the recovery of liver function.

The recurrence rate after resection of primary liver cancer is high. Adjuvant hepatic arterial infusion chemotherapy (HAIC) after resection of primary liver cancer can effectively reduce the recurrence rate and improve the survival rate of patients, especially for primary liver cancer patients with microvascular invasion or portal vein tumor thrombus. However, there are still great controversies in the academic community about the specific implementation of postoperative HAIC technology, suitable groups and efficacy evaluation. Therefore, this article reviews the research progress of HAIC after hepatectomy in recent years, in order to provide a reference for clinical practice.