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 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%.

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.

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 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.

Objective:To investigate relationship between expression of ADGRG5 and clinical prognosis and immune response in pancreatic adenocarcinoma(PAAD).Methods:ADGRG5 expression in PAAD and normal tissues were compared by Wilcoxon rank sum test.Diagnostic value of ADGRG5 was evaluated by ROC curve in PAAD.Kaplan-Meier method and Cox regres-sion analysis were used to evaluate prognostic factors.Gene set enrichment analysis(GSEA)and immune infiltration analysis were applied to annotate biological function of ADGRG5.Results:ADGRG5 expression in PAAD was significantly higher than normal tissue(P=2.8e-32).ADGRG5 had significant diagnostic and prognostic ability for PAAD(AUC=0.866).High ADGRG5 expression predicted a good progress free interval(PFI)(P=0.01),and expression of ADGRG5 was independently associated with PFI(HR:0.656,95%CI:0.433～0.972,P=0.035).ADGRG5 expression was related to regulation of immunomodulatory pathway and function of some types of immune infiltrating cells.Conclusion:Increased ADGRG5 may be a potential biomarker for PAAD diagnosis and prognosis,which affects prognosis of PAAD patients and significantly correlated with immune infiltration.

Objective:We aimed to explore the effect of exercise on cardiac function and APJ system in old mice.Meth-ods:Male C57/BL6 mice were divided into young group(n=30),old control group(n=30),old continuous moderate-intensity training(CMIT)group(n=30),and old high-intensity interval training(HIIT)group(n=30).Mice in the CMIT group and HIIT group underwent 8-week exercise intervention,respectively.Mice in the young group and old con-trol group were placed on stationary treadmill simultaneously.The heart function parameters were measured,and the ex-pression of APJ/Apelin in myocardium and circulating Apelin/Elabela were compared among above-mentioned groups.Results:Compared yo mice in old control group,those in the CMIT group and HIIT group had significant higher left ven-tricular ejection fraction[(67.74±6.18)％,(70.69±7.43)％vs.(61.17±4.78)％]and left ventricular fractional short-ening[(33.07±4.29)％,(33.37±5.57)％vs.(28.05±3.61)％](P＜0.05 or＜0.01);and significant lower Tei index[(0.78±0.09),(0.78±0.12)vs.(0.88±0.08)]and left ventricular posterior wall thickness at diastole[(1.01±0.09)mm,(1.02±0.10)mm vs.(1.19±0.14)mm](P＜0.05all).Compared to mice in old control group,those in the HIIT group had significant higher mitral valve E/A ratio[(1.63±0.11)vs.(1.42±0.18),P=0.043].Compared to mice in old control group,those in the HIIT group had significant higher expressions of APJ and Apelin in myocardium,as well as the levels of Apelin[(1186.23±393.74)pg/ml vs.(413.17±80.81)pg/ml]and Elabela[(5.38±2.76)ng/ml vs.(1.57±0.60)ng/ml]in the serum(P＜0.05 or＜0.01).Conclusion:Long-term exercise initiated late in life could im-prove heart function of mice.The APJ-Apelin/Elabela system may be involved in the exercise-mediated improvement of cardiac aging.

Background:To compare the efficacy and safety of monthly administrations of gonadotropin releasing hormone (GnRH) agonists LY01005 and Zoladex ? in Chinese patients with premenopausal breast cancer. Methods:From October 2020 to November 2021, 188 premenopausal breast cancer patients were enrolled in 34 hospitals and randomized 1:1 to receive either LY01005 or Zoladex ? every 28 days for a total of three injections. All patients concomitantly received oral tamoxifen (TAM). The primary efficacy endpoint was cumulative probability of maintaining menopausal level [oestradiol (E2) ≤30 pg/ml] from day 29 to day 85. The second efficacy endpoint included changes in E2, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) compared with the baseline. Pharmacokinetics (PK), pharmacodynamics (PD), and safety were analyzed. The study also evaluated the pharmacokinetic and pharmacodynamic characteristics of LY01005. Results:A total of 188 patients were randomised and 187 patients received either LY01005 or Zoladex ?. Cumulative probabilities of maintaining menopausal level (E2≤30 pg/ml) from day 29 to day 85 were 93.1% for LY01005 and 86.3% for Zoladex ?. The between-group difference was 6.8% (95% CI: -2.3%, 15.9%) and primary efficacy in the LY01005 group was not inferior to that in the Zoladex ? group. Changes in E2, LH, and FSH levels compared with the baseline were equivalent between the two groups (E2: 89.34% to 90.23% vs. 82.11% to 85.02%; LH: 88.89% to 95.52% vs. 89.70% to 97.02%; FSH: 75.36% to 80.85% vs.73.07% to 80.24%, respectively). After three consecutive doses of LY01005, the LH and FSH levels of the subjects showed a transient increase after the first dose, reached a peak on the second day and then started to decrease. The LH and FSH reached a lower level and remained at or below that level until the 85th day. Both treatments were well-tolerated. Conclusion:LY01005 is as effective as Zoladex ? in suppressing E2 to menopausal levels in Chinese patients with premenopausal breast cancer, with a similar safety profile.