Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objectives: To elucidate the potential mechanisms of electroacupuncture (EA) in restoring detrusor-bladder neck dyssynergia (DBND) following suprasacral spinal cord injury (SSCI). Methods: A total of 52 specific pathogen-free (SPF) grade famale Sprague-Dawley (SD) rats (10 – 12 weeks, 250 – 280 g) were randomly assigned to either a sham group (n = 12) or a spinal cord injury model group (n = 40). In the model group, DBND was induced through Hassan Shaker spinal cord transection at T10 level, with 24 rats meeting inclusion criteria and subsequently randomized into DBND group (n = 12) and EA intervention group (DBND + EA group, n = 12). After spinal shock recovery (day 19 after modeling), DBND + EA group received EA treatment at Ciliao (BL32), Zhongji (RN3), and Sanyinjiao (SP6) acupoints for 20 min per session at 10/50 Hz frequencies, once daily for 10 d. Sham and DBND groups received anesthesia only without EA intervention. On day 29 post-modeling, all rats underwent urodynamic assessments, followed by hematoxylin and eosin (HE) staining, tandem mass tag (TMT) proteomics, and Western blot (WB) analysis of detrusor and bladder neck tissues. Differentially expressed proteins (DEPs) were defined as proteins with P < 0.05, unique peptides ≥ 2, and fold change > 1.2 or < 0.83. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using KOBAS 3.0 (P < 0.01), and protein-protein interaction (PPI) networks were analyzed using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) 11.5 and Cytoscape 3.9.1. Results: Compared with sham group, DBND group showed significantly elevated leak point pressure (LPP) and maximum cystometric capacity (MCC) (both P < 0.01). EA treatment significantly reduced both LPP and MCC compared with DBND group (P < 0.01 and P < 0.05, respectively). HE staining revealed that EA reduced detrusor fibrosis and improved bladder neck inflammation. TMT proteomics identified 30 overlapping DEPs in detrusor and 59 overlapping DEPs in bladder neck when comparing DBND + EA/DBND groups with sham group. In detrusor tissue, KEGG analysis revealed 10 significantly enriched pathways (P < 0.01), including mitogen-activated protein kinase (MAPK) signaling pathway. PPI analysis showed 22 of 30 DEPs were interconnected. In bladder neck tissue, 14 pathways were significantly enriched (P < 0.01), including relaxin signaling pathway, with 51 of 59 DEPs showing interconnections. Both TMT and WB validations demonstrated that compared with sham controls, DBND rats exhibited upregulated collagen type IV alpha 2 chain (Col4a2) and downregulated guanine nucleotide-binding protein G(z) subunit alpha (Gnaz) in detrusor tissue, while EA treatment normalized both proteins (both P < 0.05). In bladder neck tissue, DBND rats showed decreased expression of smoothelin (Smtn) and calcium-activated potassium channel subunit beta-1 (Kcnmb1) compared with sham controls (both P < 0.01), which were both upregulated following EA treatment (P < 0.01 and P < 0.05, respectively). Conclusion EA restores detrusor-bladder neck coordination in DBND through dual-target mechanisms. In detrusor tissue, EA modulates contraction via extracellular matrix remodeling, cyclic adenosine monophosphate (cAMP) signaling pathway regulation, and enhanced adenosine triphosphate (ATP) biosynthesis mediated by neurotransmitters. In bladder neck tissue, EA promotes relaxation by maintaining contractile phenotypes, reducing fibrosis, suppressing smooth muscle excitation, and regulating presynaptic neurotransmitter release. These findings provide mechanistic insights into EA's therapeutic role in managing DBND.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

This study aims to systematically characterize the targeted effects of Quanduzhong Capsules on cartilage lesions in knee osteoarthritis by integrating spatial transcriptomics data mining and animal experiments validation, thereby elucidating the related molecular mechanisms. A knee osteoarthritis model was established using Sprague-Dawley(SD) rats, via a modified Hulth method. Hematoxylin and eosin(HE) staining was employed to detect knee osteoarthritis-associated pathological changes in knee cartilage. Candidate targets of Quanduzhong Capsules were collected from the HIT 2.0 database, followed by bioinformatics analysis of spatial transcriptomics datasets(GSE254844) from cartilage tissues in clinical knee osteoarthritis patients to identify spatially specific disease genes. Furthermore, a "formula candidate targets-spatially specific genes in cartilage lesions" interaction network was constructed to explore the effects and major mechanisms of Quanduzhong Capsules in distinct cartilage regions. Experimental validation was conducted through immunohistochemistry using animal-derived biospecimens. The results indicated that Quanduzhong Capsules effectively inhibited the degenerative changes in the cartilage of affected joints in rats, which was associated with the regulation of Quanduzhong Capsules on the thioredoxin-interacting protein(TXNIP)-NOD-like receptor family pyrin domain containing 3(NLRP3)-bone morphogenetic protein receptor type 2(BMPR2)-fibronectin 1(FN1)-matrix metallopeptidase 2(MMP2) signal axis in the articular cartilage surface and superficial zones, subsequently inhibiting cartilage matrix degradation leading to oxidative stress and inflammatory diffusion. In summary, this study clarifies the spatially specific targeted effects and protective mechanisms of Quanduzhong Capsules within pathological cartilage regions in knee osteoarthritis, providing theoretical and experimental support for the clinical application of this drug in the targeted therapy on the inflamed cartilage.
Animals ; Osteoarthritis, Knee/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Rats ; Male ; Humans ; Capsules ; Female ; Disease Models, Animal

Acute lung injury(ALI) is a critical clinical condition primarily characterized by refractory hypoxemia and infiltration of inflammatory cells in lung tissue, which can progress into a more severe form known as acute respiratory distress syndrome(ARDS). Immune cells and inflammatory cytokines play important roles in the progression of the disease. Due to its unclear pathogenesis and the lack of effective clinical treatments, ALI is associated with a high mortality rate and severely affects patients' quality of life, making the search for effective therapeutic agents particularly urgent. Ginseng Radix et Rhizoma, the dried root of the perennial herb Panax ginseng from the Araliaceae family, contains active ingredients such as saponins and polysaccharides, which possess various pharmacological effects including anti-tumor activity, immune regulation, and metabolic modulation. In recent years, studies have shown that ginsenosides exhibit notable effects in reducing inflammation, ameliorating epithelial and endothelial cell injury, and providing anticoagulant action, indicating their comprehensive role in alleviating lung injury. This review summarizes the pathogenesis of ALI and the molecular mechanisms through which ginsenosides act at different stages of ALI development. The aim is to provide a scientific reference for the development of ginsenoside-based drugs targeting ALI, as well as a theoretical basis for the clinical application of Ginseng Radix et Rhizoma in the treatment of ALI.
Ginsenosides/pharmacology* ; Humans ; Acute Lung Injury/immunology* ; Animals ; Panax/chemistry* ; Drugs, Chinese Herbal

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objective To investigate the clinical efficacy of multidisciplinary team (MDT) model combined with Da Vinci robot-assisted thoracic surgery in the treatment of early non-small cell lung cancer (NSCLC). Methods From July 2020 to December 2021, the patients with NSCLC who received Da Vinci robot-assisted thoracic surgery in the Department of Thoracic Surgery, General Hospital of Northern Theater Command were collected. According to whether MDT were performed before hospitalization, the patients were divided into an MDT group and a common group. The recovery and clinical efficacy were compared between the two groups. Results A total of 187 patients were enrolled, including 81 males and 106 females, aged 63 (56, 67) years. There were 85 patients in the MDT group, and 102 patients in the common group. Compared with the common group, the MDT group had lower incidence of postoperative complications (9.4% vs. 29.4%, P=0.017), shorter intraoperative operation time [55 (45, 61) min vs. 79 (65, 90) min, P<0.001], and less intraoperative blood loss [25 (20, 30) mL vs. 30 (20, 50) mL, P=0.029] in the same operation mode. In addition, the drainage volume on the second postoperative day [270 (200, 350) mL vs. 215 (190, 300) mL, P=0.004], the number of dissected lymph nodes groups [6 (5, 6) groups vs. 5 (3, 6) groups, P=0.004] and the number of dissected lymph nodes [16 (13, 21) vs. 13 (9, 20), P=0.005] in the MDT group were significantly better than those in the common group. The differences in the postoperative intubation time and postoperative hospital stay between the two groups were not statistically significant (P>0.05). Conclusion MDT combined with Da Vinci robot-assisted thoracic surgery can further reduce the risk of surgery, improve the clinical treatment effect, reduce the incidence of postoperative complications, and accelerate the rehabilitation of patients.

Objective To analyze the learning curve of Da Vinci robotic segmentectomy. Methods Cumulative sum analysis (CUSUM) was used to analyze the learning curve of Da Vinci robotic segmentectomy performed by the General Hospital of Northern Theater Command from February 2018 to December 2020. The learning curve was obtained by fitting, and R2 was used to judge the goodness of fitting. The clinical data of patients in different stages of learning curve were compared and analyzed. Results The first 50 patients who received Da Vinci robotic segmentectomy were included, including 24 males and 26 females, with an average age of 61.9±10.6 years. The operation time decreased gradually with the accumulation of operation patients. The goodness of fitting coefficient reached the maximum value when R2=0.907 (P<0.001), CUSUM (n) =0.009×n3−0.953×n2+24.968×n−7.033 (n was the number of patients). The fitting curve achieved vertex crossing when the number of patients reached 17. Based on this, 50 patients were divided into two stages: a learning and improving stage and a mastering stage. There were statistical differences in the operation time, intraoperative blood loss, postoperative drainage volume, number of lymph node dissection, postoperative catheter time, postoperative hospital stay, and postoperative complications between the two stages (P<0.05). Conclusion It shows that the technical competency for assuring feasible perioperative outcomes can be achieved when the cumulative number of surgical patients reaches 17.

Objective To observe the effects of electroacupuncture at"Ciliao","Zhongji","Sanyinjiao"and"Dazhui"on urodynamics and expression of ERK/CREB/Bcl-2 pathway in spinal cord tissue of neurogenic bladder rats after suprasacral spinal cord injury.Methods Sixty female SD rats randomly selected 24 and divided into blank group and sham-operation group(12 rats in each group),the remaining 36 rats were subjected to surgical modeling.After modeling,rats were randomly divided into the model group and the electroacupuncture group,with 12 rats in each group.The electroacupuncture group received unilateral electroacupuncture stimulation at acupoints"Ciliao","Zhongji","Sanyinjiao",and"Dazhui"for 30 minutes each time,once a day,for 7 consecutive days.After administration,urodynamic testing was performed,HE staining was used to observe the morphology of bladder detrusor tissue,TUNEL method was used to detected apoptosis in spinal cord tissue,Western blot was used to detected expressions of p-ERK1/2,p-CREB,p-p90Rsk,CRE,Bcl-2,and Bax proteins in spinal cord tissue.Results Compared with the sham-operation group,the basal pressure,maximum pressure,and leakage point pressure of the bladder in the model group increased significantly(P<0.01),while the maximum capacity and compliance of the bladder decreased significantly(P<0.01);the structure of bladder smooth muscle cells was severely damaged and disorderly arranged,accompanied by a large amount of inflammatory cell infiltration;the apoptosis rate of spinal cord tissue cells significantly increased(P<0.01),and the expressions of p-ERK1/2,p-p90Rsk,p-CREB,CRE,and Bcl-2 proteins in spinal cord tissue were significantly decreased,while the expression of Bax protein significantly increased(P<0.01).Compared with the model group,the basal pressure,maximum pressure,and leakage point pressure of the bladder in the electroacupuncture group decreased significantly(P<0.05),while the maximum capacity and compliance of the bladder increased significantly(P<0.05,P<0.01);the integrity of bladder smooth muscle cells was enhanced,the degree of cell edema was reduced,and inflammatory cell infiltration was reduced;the apoptosis rate of spinal cord tissue cells was significantly reduced(P<0.05),and the expressions of p-ERK1/2,p-p90Rsk,p-CREB,CRE,and Bcl-2 proteins in spinal cord tissue significantly increased,while the expression of Bax protein was significantly decreased(P<0.05,P<0.01).Conclusion Electroacupuncture can promote the repair of bladder detrusor tissue in rats with neurogenic bladder model after suprasacral spinal cord injury,increase the maximum capacity and compliance of the bladder,alleviate the high pressure state in the bladder,and its mechanism is related to activating the ERK/CREB/Bcl-2 pathway,reducing secondary apoptosis of damaged neurons,effectively improving bladder innervation,and protecting bladder function.

Objective    To summarize the efficacy of robot-assisted thoracic surgery (RATS) and video-assisted thoracoscopic surgery (VATS) in the treatment of left upper lobectomy for non-small cell lung cancer. Methods    The clinical data of patients with non-small cell lung cancer who underwent left upper lobectomy with RATS or VATS in our center from January 2019 to October 2021 were retrospectively analyzed. The patients were divided into two groups according to surgical methods: a RATS group and a VATS group. The baseline clinical data and results were compared between the two groups. Results    A total of 145 patients were included. There were 78 males and 67 females with a mean age of 59.9 years. There were 63 patients in the RATS group and 82 patients in the VATS group. There was no death within 30 days after operation in both groups. In the RATS group, the drainage volume on the second postoperative day (233.49±83.94 mL vs. 284.88±120.21 mL, P=0.003), total operative time (126.94±29.50 min vs. 181.59±61.51 min, P=0.000), intraoperative resection time of the left upper lobe (76.48±27.52 min vs. 107.23±47.84 min, P=0.000), intraoperative blood loss (P=0.000), and conversion rate to thoracotomy (P=0.018) were significantly better than those in the VATS group. The group (5.41±0.94 groups vs. 4.83±1.31 groups, P=0.002) and number (18.27±7.39 vs. 12.76±6.54, P=0.000) of dissected lymph nodes in the RATS group were significantly more than those in the VATS group. The differences in the drainage volume on the first day after operation, postoperative intubation time, postoperative hospital stay or postoperative complications between the two groups were not statistically significant (P>0.05). Conclusion    The application of RATS in the left upper lobectomy for non-small cell lung cancer is safe and feasible, and has obvious advantages over VATS.