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 initially explore the possibility of applying the fluorescence micro-optical sectioning tomography(fMOST)high-resolution 3D reconstruction system to the morphological study of the intestinal nervous system and to preliminarily establish a method for studying the morphology of the intestinal nervous system using this system.Methods fMOST high-resolution 3D reconstruction system was used to study the intestinal nervous system of C57BL/6 mice in detail.Based on this method,a new morphological method of the visceral nervous system of small animal models was explored at the single-cell level.Results Compared with the large intestine,the small intestine lacked the typical myenteric plexus(Auerbach),deep mucosal plexus(Henley),and submucosal superficial plexus(Meissner).Conclusion The result of this paper provide a clearer and systematic display of the anatomical structure of the enteric nervous system in C57BL/6 mice,and further clarify the similarities and differences between the enteric nervous system of mice and human,and provide a theoretical basis for its rational application in the study of digestive system diseases.The morphological study of fMOST high-resolution 3D reconstruction system is not limited to the central nervous system,but can be extended to the morphological study of multiple visceral nervous systems.

Objective To explore the effect of PCSK9 inhibitor combined with atorvastatin on carotid atherosclerosis and its anti-inflammatory effect in patients with hypertension complicated with type 2 diabetes mellitus.Methods A total of 100 patients with hypertension complicated with type 2 diabetes mellitus who were treated in Nanchang Third Hospital from October 2022 to August 2023 were selected as the research subjects.They were divided into the control group and the study group by the random number table method,with 50 cases in each group.Both groups of patients received conventional antihypertensive,hypoglycemic,and antiplatelet therapy.The control group took 20 mg of atorvastatin calcium tablets orally,once a night.On the basis of the control group,the study group was additionally given 150 mg of evolocumab injection(a PCSK9 inhibitor)by subcutaneous injection,once every two weeks.Both groups of patients were followed up for 24 weeks.The levels of blood lipids,blood glucose,inflammatory cytokines,carotid intima-media thickness(IMT),atherosclerotic plaque score and adverse reactions of the patients in the two groups before and after treatment were detected and compared.Results The levels of TC,TG and LDL-C in the study group after treatment were lower than those before treatment and those in the control group at the same period,and the differences were statistically significant(P＜0.05).The levels of IL-1,IL-6,TNF-α,hs-CRP,as well as the ca-rotid IMT and atherosclerotic plaque score in the study group after treatment were lower than those before treatment and those in the control group at the same period,and the differences were statistically significant(P＜O.05).During the treatment period,there was no significant difference in the occurrence of adverse reac-tions between the two groups(P＞0.05).Conclusion The combination of PCSK9 inhibitor and atorvastatin can effectively regulate the blood lipid levels of patients with hypertension complicated and type 2 diabetes mellitus,alleviate the inflammatory response,and improve the degree of carotid atherosclerosis in these pa-tients.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Pheochromocytoma is a neuroendocrine tumor that produces catecholamines, leading to elevated blood pressure and metabolic changes in patients. It can result in serious complications affecting the heart, brain, kidneys, and blood vessels, potentially becoming a primary cause of death. Most pheochromocytoma patients present with atypical symptoms, making misdiagnosis or missed diagnosis common. This article reports a case of pheochromocytoma crisis misdiagnosed as severe viral myocarditis and includes a review of the relevant literature.

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 evaluate the safety and efficacy of mild hypothermia arch-clamping technique in the surgical treatment of DeBakey Type Ⅰ aortic dissection.Methods:From December 2019 to November 2023, a total of 97 patients with DeBakey type Ⅰ aortic dissection who underwent arch-clamping technique in Beijing Anzhen Hospital were prospectively enrolled. The patients were divided into mild hypothermia group and moderate hypothermia group according to the lowest rectal temperature during the circulatory arrest period. The perioperative data of the two groups were compared, and complex adverse outcomes consisting of 30-day death, stroke, paraplegia and CRRT were used as the primary endpoint. Multivariate logistic regression was used to determine the predictors of clinical adverse outcomes. Survival analysis was evaluated by the Kaplan- Meier method. Results:The overall incidence of complex adverse outcomes was 20.6%, 13.6% in the mild hypothermia group and 22.7% in the moderate hypothermia group( P=0.535), and the incidence of stroke was 4.6% and 6.7%( P=1.000), respectively. The cardiopulmonary bypass time and aortic-clamping time in the mild hypothermia group were significantly shortened (147.5 min vs. 163.0 min, P=0.032; 89 min vs. 99 min, P=0.042). There was no significant difference in long-term survival and reintervention between the two groups(91.9% vs. 89.3%, P=0.87; 9.1% vs. 5.3%, P=0.13). Conclusion:Mild hypothermia arch-clamping technique is a safe and effective method for the treatment of DeBakey type Ⅰ aortic dissection, with satisfactory short-term and long-term efficacy.

This study aims to explore the specific mechanism by which puerarin inhibits ferroptosis and improves the myocardial contractile function in myocardial hypertrophy through the nuclear factor erythroid 2-related factor 2(Nrf2)/antioxidant response element(ARE)/heme oxygenase-1(HO-1) signaling pathway. The hypertrophic cardiomyocyte model was established using phenylephrine, and H9c2 cells were divided into control group, model group, puerarin group, and puerarin+ML385 group. Cell viability and surface area were detected by cell counting kit-8(CCK-8) and immunofluorescence experiments. The mitochondrial membrane potential and Ca~(2+) concentration were measured. The ferroptosis-related indicators were detected by biochemical and fluorescence staining methods. The expression of proteins related to ferroptosis and the Nrf2/ARE/HO-1 signaling pathway was detected by Western blot. A myocardial hypertrophy model was established, and 40 rats were randomly divided into sham group, model group, puerarin group, and puerarin+Nrf2 inhibitor(ML385) group, with 10 rats in each group. Echocardiogram, hemodynamic parameters, and myocardial hypertrophy parameters were measured. Histopathological changes of myocardial tissues were observed by hematoxylin and eosin(HE) staining and Masson staining. Biochemical methods, enzyme-linked immunosorbent assay(ELISA), and fluorescence staining were used to detect inflammatory factors and ferroptosis-related indicators. Immunohistochemistry was used to detect the expression of proteins related to ferroptosis and the Nrf2/ARE/HO-1 signaling pathway. Cell experiments showed that puerarin intervention significantly enhanced the viability of hypertrophic cardiomyocytes, reduced their surface area, and restored mitochondrial membrane potential and Ca~(2+) homeostasis. Mechanism studies revealed that puerarin promoted Nrf2 nuclear translocation, upregulated the expression of HO-1, solute carrier family 7 member 11(SLC7A11), and glutathione peroxidase 4(GPX4), and decreased malondialdehyde(MDA), reactive oxygen species(ROS), and iron levels. These protective effects were reversed by ML385. In animal experiments, puerarin improved cardiac function in rats with myocardial hypertrophy, alleviated myocardial hypertrophy and fibrosis, inhibited inflammatory responses and ferroptosis, and promoted nuclear Nrf2 translocation and HO-1 expression. However, combined intervention with ML385 led to deterioration of hemodynamics and a rebound in ferroptosis marker levels. In conclusion, puerarin may inhibit cardiomyocyte ferroptosis through the Nrf2/ARE/HO-1 signaling pathway, thereby improving myocardial contractile function in myocardial hypertrophy.
Animals ; NF-E2-Related Factor 2/genetics* ; Rats ; Ferroptosis/drug effects* ; Signal Transduction/drug effects* ; Isoflavones/pharmacology* ; Male ; Rats, Sprague-Dawley ; Cardiomegaly/genetics* ; Myocytes, Cardiac/metabolism* ; Antioxidant Response Elements/drug effects* ; Myocardial Contraction/drug effects* ; Heme Oxygenase-1/genetics* ; Cell Line

Objective: To study the correlation between activated partial thromboplastin time (APTT) mixing test results and the inhibitor titers in hemophilia A inhibitor-positive patients. Methods: In this cross-sectional study, 41 patients with severe hemophilia A and inhibitors (and negative for lupus anticoagulant) were included from the hemophilia clinic of Shandong Blood Center from February 2022 to February 2024. All patients underwent APTT mixing test. The Rosner's index (RI, including the immediate RI and the RI after 2-hour water bath incubation [water bath 2h RI]), the time-dependent difference (Δ value), and the corrected percentage were calculated based on results of APTT mixing test. The median (interquartile range) of the corresponding indexes were calculated, and the ROC curves for identification of high inhibitor titers using the four indexes (the immediate RI, the water bath 2h RI, the Δ value, and the corrected percentage) were plotted, The correlations between APTT mixing test and inhibitor titers for coagulation factor Ⅷ (Factor Ⅷ, FⅧ) were investigated. Results: The median (lower quartile, upper quartile) of immediate RI, water bath 2h RI, Δ-value and corrected percentage for FⅧ inhibitor positive patients were 11.0 (5.4, 29.3)%, 45.0 (25.7, 75.0)%, 26.2 (7.6, 41.8) s, and 82.2 (58.5, 91.6)%, respectively. The median (lower quartile, upper quartile) of the immediate RI, water bath 2h RI, Δ-value and corrected percentage were 25.2 (13.0, 37.5)%, 64.1 (44.6, 72.6)%, 38.0 (14.3, 38.3) s, and 66.5 (50.1, 82.1)% for the high-titer inhibitor group, and 5.2 (4.2, 9.4)%, 17.9 (8.8, 28.0)%, 13.0 (7.6, 25.4) s, and 92.3 (88.0, 94.3)% for the low-titer inhibitor group. The AUCs of the ROC curves for discrimination between high and low titer inhibitor were: 0.9105 for immediate RI, 0.9118 for water bath 2h RI, 0.8873 for correcter percentage, and 0.6532 for Δ-value. Conclusion: High-titer inhibitors can be highly suspected in hemophiliac patients with an immediate RI >10% and a water bath 2h RI >45%, and the presence of low-titer inhibitors is suspected in patients with a 4-second < immediate RI <10% and a 13% < water bath 2h RI <45%.