ObjectiveTo evaluate the therapeutic effects of Huanglian Jiedutang on cerebral infarction injury in a mouse model of middle cerebral artery occlusion （MCAO） and to explore its mechanism of action on oligodendrocytes， particularly its potential in myelin repair. MethodsMultiple experimental approaches were used to evaluate cerebral ischemic injury and the effects of drug intervention. Laser speckle imaging was used to detect changes in cerebral blood flow， 2，3，5-Triphenyltetrazolium chloride （TTC） staining was used to measure infarct volume， and neurological function was scored according to the Zea-Longa criteria. Brain tissues were routinely embedded in paraffin and subjected to HE and Nissl staining to observe tissue structure and neuronal damage. Animals were divided into a sham group （n=24）， model group （n=24）， Huanglian Jiedutang group （n=24）， and Ginkgo biloba extract （GBE） group （n=18）. After 1 week of acclimatization， intragastric administration was initiated. The sham and model groups received normal saline， the Huanglian Jiedutang group was administered 1.82 g·kg^-1， and the GBE group was administered 0.432 g·kg^-1 after preparation as a 2.16 g·L^-1 solution. All groups were treated for 5 consecutive days at a dose of 0.2 mL·（10 g）^-¹·d^-¹. The MCAO model was established after the final administration on day 6. Single-cell RNA sequencing was used to analyze brain tissue cellular composition and changes in oligodendrocyte subpopulations. Distinct subpopulations were identified by Uniform manifold approximation and projection （UMAP） dimensionality reduction and unsupervised clustering， and marker gene expression was analyzed. Pathway enrichment and causal inference were further performed using IPA. Finally， real-time quantitative PCR was used to verify mRNA expression changes of myelin-related genes. ResultsCompared with the sham group， the model group showed significantly increased neurological function scores （P<0.01）， significantly impaired blood flow （P<0.01）， significantly enlarged cerebral infarct area （P<0.01）， and pathological changes including disordered cortical structural arrangement， aggravated cytoplasmic vacuolization， and increased Nissl bodies. Compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly decreased neurological function scores （P<0.01）， markedly restored blood flow levels （P<0.01）， significantly reduced cerebral infarct area （P<0.01）， and improvement in cortical structural disorder， alleviation of cytoplasmic vacuolization， and a reduction in Nissl bodies. Single-cell data showed that a myelin-associated oligodendrocyte （Mye-OL） subpopulation existed among oligodendrocytes， which was closely related to myelin generation. Compared with the sham group， the number of Mye-OL cells decreased in the model group. Compared with the model group， the number of Mye-OL cells increased in the Huanglian Jiedutang group. This subpopulation promoted the expression of myelin-related genes， including MOG， MBP， and MAG， via transcription factors such as OLIG1， OLIG2， NKX2-2， and SOX10， thereby regulating myelin generation， restoring cognition， and exerting therapeutic effects on acute cerebral infarction. Compared with the sham group， the mRNA expression levels of OLIG1， OLIG2， NKX2-2， and SOX10 were significantly downregulated in the model group （P<0.01）， and the mRNA expression levels of myelin-related genes， including MOG， MBP， and MAG， were also significantly downregulated （P<0.01）. In contrast， compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly upregulated mRNA expression levels of OLIG1， OLIG2， NKX2-2， and SOX10 （P<0.01）， and significantly upregulated mRNA expression levels of myelin-related genes， including MOG， MBP， and MAG （P<0.01）. ConclusionHuanglian Jiedutang exerts therapeutic effects on acute cerebral infarction by regulating the OLIG1/2-NKX2-2-SOX10 signaling pathway to promote myelin generation by Mye-OL cells.

ObjectiveTo investigate the characteristics of metabolic reprogramming during cerebral ischemia-reperfusion injury using single-cell transcriptome sequencing， analyze the heterogeneity of microglial populations， and evaluate the interventional effects of Huanglian Jiedutang on metabolic abnormalities and neuroinflammation. MethodsA transient middle cerebral artery occlusion （tMCAO） model was used to establish ischemic stroke in mice. Local cerebral blood flow changes were monitored by laser speckle imaging. Neurological impairment was evaluated using the Zea-Longa score， and histopathological damage in brain tissue was observed by HE and Nissl staining. Animals were divided into a sham group， model group， Huanglian Jiedutang group， and Ginkgo biloba extract （GBE） group. After 1 week of acclimatization， intragastric administration was initiated. The sham and model groups received normal saline， the Huanglian Jiedutang group was administered 1.82 g·kg^-1， and the GBE group was administered 0.432 g·kg^-1 after preparation as a 2.16 mg/mL solution. All groups were treated for 5 consecutive days （0.2 mL/10 g/day）， and the tMCAO model was established on day 6 after the final administration. At the molecular level， single-cell RNA sequencing was performed on ischemic hemisphere tissue. Non-negative matrix factorization （NMF） was used to cluster microglial subpopulations， combined with differential expression analysis， metabolic reprogramming assessment， and inflammatory factor correlation analysis to elucidate their functional characteristics in ischemia-reperfusion injury. Transcription factor enrichment analysis was further conducted to identify key regulatory nodes. Finally， PCR was used to detect mRNA expression changes of relevant genes to validate the single-cell sequencing results. ResultsCompared with the sham group， the model group showed increased neurological function scores （P<0.01）， decreased blood flow levels （P<0.01）， disordered cortical structure， increased cytoplasmic vacuolization， and increased Nissl bodies. Compared with the model group， the Huanglian Jiedutang and GBE groups showed decreased neurological function scores （P<0.01）， increased blood flow levels （P<0.01）， alleviated cortical structural disorder， reduced cytoplasmic vacuolization， and decreased Nissl bodies. Single-cell analysis showed that microglia could be divided into five subpopulations. Among them， clusters 3 and 5 exhibited significant pro-inflammatory phenotypes， with marked activation of hypoxia and NF-κB signaling pathways， and were identified as pro-inflammatory subpopulations. Clusters 1 and 2 were enriched in Wnt/β-catenin and transforming growth factor（TGF）-β signaling pathways and exhibited prominent anti-inflammatory and reparative characteristics. Meanwhile， glycolysis-related genes， such as HK2， PFKP， and LDHA， were significantly upregulated in the pro-inflammatory subpopulations. Correlation analysis showed that the expression levels of inflammatory molecules were positively correlated with glycolysis-related gene expression levels， whereas the expression levels of reparative and anti-inflammatory molecules were negatively correlated with glycolysis-related gene expression levels， indicating that microglia rely on the glycolytic pathway for energy acquisition under ischemic conditions. Further single-cell transcriptome analysis revealed that Huanglian Jiedutang effectively downregulated key genes driving metabolic reprogramming （such as HK2， PFKP， and LDHA）， significantly reduced the proportion of microglial subpopulations accompanied by glycolytic reprogramming， and inhibited their transformation toward a damage phenotype， thereby reducing inflammatory injury. Meanwhile， compared with the sham group， the mRNA expression levels of interleukin （IL）-1β， IL-6， tumor necrosis factor（TNF）-α， CCL2， CXCL2， and CSF3 were significantly upregulated （P<0.01） in the model group， whereas the mRNA expression levels of endothelial- and pericyte-related functional genes， including RGS5， PECAM1， VEGFB， and NOS3， were significantly downregulated （P<0.01）. In contrast， compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly decreased mRNA expression levels of IL-1β， IL-6， TNF-α， CCL2， CXCL2， and CSF3 （P<0.01）， and significantly increased mRNA expression levels of endothelial- and pericyte-related functional genes， including RGS5， PECAM1， VEGFB， and NOS3 （P<0.01）. ConclusionHuanglian Jiedutang exerts neuroprotective effects by regulating the metabolic reprogramming state of microglia and modulating their inflammatory levels， thereby inhibiting neuroinflammatory injury.

ObjectiveTo evaluate the therapeutic effects of Huanglian Jiedutang on cerebral infarction injury in a mouse model of middle cerebral artery occlusion （MCAO） and to explore its mechanism of action on oligodendrocytes， particularly its potential in myelin repair. MethodsMultiple experimental approaches were used to evaluate cerebral ischemic injury and the effects of drug intervention. Laser speckle imaging was used to detect changes in cerebral blood flow， 2，3，5-Triphenyltetrazolium chloride （TTC） staining was used to measure infarct volume， and neurological function was scored according to the Zea-Longa criteria. Brain tissues were routinely embedded in paraffin and subjected to HE and Nissl staining to observe tissue structure and neuronal damage. Animals were divided into a sham group （n=24）， model group （n=24）， Huanglian Jiedutang group （n=24）， and Ginkgo biloba extract （GBE） group （n=18）. After 1 week of acclimatization， intragastric administration was initiated. The sham and model groups received normal saline， the Huanglian Jiedutang group was administered 1.82 g·kg^-1， and the GBE group was administered 0.432 g·kg^-1 after preparation as a 2.16 g·L^-1 solution. All groups were treated for 5 consecutive days at a dose of 0.2 mL·（10 g）^-¹·d^-¹. The MCAO model was established after the final administration on day 6. Single-cell RNA sequencing was used to analyze brain tissue cellular composition and changes in oligodendrocyte subpopulations. Distinct subpopulations were identified by Uniform manifold approximation and projection （UMAP） dimensionality reduction and unsupervised clustering， and marker gene expression was analyzed. Pathway enrichment and causal inference were further performed using IPA. Finally， real-time quantitative PCR was used to verify mRNA expression changes of myelin-related genes. ResultsCompared with the sham group， the model group showed significantly increased neurological function scores （P<0.01）， significantly impaired blood flow （P<0.01）， significantly enlarged cerebral infarct area （P<0.01）， and pathological changes including disordered cortical structural arrangement， aggravated cytoplasmic vacuolization， and increased Nissl bodies. Compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly decreased neurological function scores （P<0.01）， markedly restored blood flow levels （P<0.01）， significantly reduced cerebral infarct area （P<0.01）， and improvement in cortical structural disorder， alleviation of cytoplasmic vacuolization， and a reduction in Nissl bodies. Single-cell data showed that a myelin-associated oligodendrocyte （Mye-OL） subpopulation existed among oligodendrocytes， which was closely related to myelin generation. Compared with the sham group， the number of Mye-OL cells decreased in the model group. Compared with the model group， the number of Mye-OL cells increased in the Huanglian Jiedutang group. This subpopulation promoted the expression of myelin-related genes， including MOG， MBP， and MAG， via transcription factors such as OLIG1， OLIG2， NKX2-2， and SOX10， thereby regulating myelin generation， restoring cognition， and exerting therapeutic effects on acute cerebral infarction. Compared with the sham group， the mRNA expression levels of OLIG1， OLIG2， NKX2-2， and SOX10 were significantly downregulated in the model group （P<0.01）， and the mRNA expression levels of myelin-related genes， including MOG， MBP， and MAG， were also significantly downregulated （P<0.01）. In contrast， compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly upregulated mRNA expression levels of OLIG1， OLIG2， NKX2-2， and SOX10 （P<0.01）， and significantly upregulated mRNA expression levels of myelin-related genes， including MOG， MBP， and MAG （P<0.01）. ConclusionHuanglian Jiedutang exerts therapeutic effects on acute cerebral infarction by regulating the OLIG1/2-NKX2-2-SOX10 signaling pathway to promote myelin generation by Mye-OL cells.

ObjectiveTo investigate the characteristics of metabolic reprogramming during cerebral ischemia-reperfusion injury using single-cell transcriptome sequencing， analyze the heterogeneity of microglial populations， and evaluate the interventional effects of Huanglian Jiedutang on metabolic abnormalities and neuroinflammation. MethodsA transient middle cerebral artery occlusion （tMCAO） model was used to establish ischemic stroke in mice. Local cerebral blood flow changes were monitored by laser speckle imaging. Neurological impairment was evaluated using the Zea-Longa score， and histopathological damage in brain tissue was observed by HE and Nissl staining. Animals were divided into a sham group， model group， Huanglian Jiedutang group， and Ginkgo biloba extract （GBE） group. After 1 week of acclimatization， intragastric administration was initiated. The sham and model groups received normal saline， the Huanglian Jiedutang group was administered 1.82 g·kg^-1， and the GBE group was administered 0.432 g·kg^-1 after preparation as a 2.16 mg/mL solution. All groups were treated for 5 consecutive days （0.2 mL/10 g/day）， and the tMCAO model was established on day 6 after the final administration. At the molecular level， single-cell RNA sequencing was performed on ischemic hemisphere tissue. Non-negative matrix factorization （NMF） was used to cluster microglial subpopulations， combined with differential expression analysis， metabolic reprogramming assessment， and inflammatory factor correlation analysis to elucidate their functional characteristics in ischemia-reperfusion injury. Transcription factor enrichment analysis was further conducted to identify key regulatory nodes. Finally， PCR was used to detect mRNA expression changes of relevant genes to validate the single-cell sequencing results. ResultsCompared with the sham group， the model group showed increased neurological function scores （P<0.01）， decreased blood flow levels （P<0.01）， disordered cortical structure， increased cytoplasmic vacuolization， and increased Nissl bodies. Compared with the model group， the Huanglian Jiedutang and GBE groups showed decreased neurological function scores （P<0.01）， increased blood flow levels （P<0.01）， alleviated cortical structural disorder， reduced cytoplasmic vacuolization， and decreased Nissl bodies. Single-cell analysis showed that microglia could be divided into five subpopulations. Among them， clusters 3 and 5 exhibited significant pro-inflammatory phenotypes， with marked activation of hypoxia and NF-κB signaling pathways， and were identified as pro-inflammatory subpopulations. Clusters 1 and 2 were enriched in Wnt/β-catenin and transforming growth factor（TGF）-β signaling pathways and exhibited prominent anti-inflammatory and reparative characteristics. Meanwhile， glycolysis-related genes， such as HK2， PFKP， and LDHA， were significantly upregulated in the pro-inflammatory subpopulations. Correlation analysis showed that the expression levels of inflammatory molecules were positively correlated with glycolysis-related gene expression levels， whereas the expression levels of reparative and anti-inflammatory molecules were negatively correlated with glycolysis-related gene expression levels， indicating that microglia rely on the glycolytic pathway for energy acquisition under ischemic conditions. Further single-cell transcriptome analysis revealed that Huanglian Jiedutang effectively downregulated key genes driving metabolic reprogramming （such as HK2， PFKP， and LDHA）， significantly reduced the proportion of microglial subpopulations accompanied by glycolytic reprogramming， and inhibited their transformation toward a damage phenotype， thereby reducing inflammatory injury. Meanwhile， compared with the sham group， the mRNA expression levels of interleukin （IL）-1β， IL-6， tumor necrosis factor（TNF）-α， CCL2， CXCL2， and CSF3 were significantly upregulated （P<0.01） in the model group， whereas the mRNA expression levels of endothelial- and pericyte-related functional genes， including RGS5， PECAM1， VEGFB， and NOS3， were significantly downregulated （P<0.01）. In contrast， compared with the model group， the Huanglian Jiedutang and GBE groups showed significantly decreased mRNA expression levels of IL-1β， IL-6， TNF-α， CCL2， CXCL2， and CSF3 （P<0.01）， and significantly increased mRNA expression levels of endothelial- and pericyte-related functional genes， including RGS5， PECAM1， VEGFB， and NOS3 （P<0.01）. ConclusionHuanglian Jiedutang exerts neuroprotective effects by regulating the metabolic reprogramming state of microglia and modulating their inflammatory levels， thereby inhibiting neuroinflammatory injury.

ObjectiveTo investigate the regulatory effects of Huanglian Jiedutang （HLJDT） on immune cell migration， blood-brain barrier protection， and cellular functional recovery in a model of ischemic stroke. MethodsA transient middle cerebral artery occlusion （tMCAO） model was established in mice to induce ischemic stroke. Cerebral blood flow and neurological function were evaluated using laser speckle imaging and neurological deficit scoring. Histopathological damage in brain tissues was assessed by hematoxylin-eosin （HE） and Nissl staining. Mice were divided into a sham group， a model group， an HLJDT group， and a Ginkgo biloba extract （GBE） group. After one week of acclimatization， intragastric administration was initiated. The sham and model groups received normal saline， the HLJDT group received HLJDT at 1.82 g·kg^-¹， and the GBE group received GBE at 0.432 g·kg^-¹. Administration was continued for 5 consecutive days， and the tMCAO model was established after the final dose on day 6. Single-cell RNA sequencing was performed on brain tissues and peripheral immune cells. UMAP and odds ratio （OR） indices were used to analyze cell distribution. Differential expression analysis was conducted to evaluate the effects of HLJDT on endothelial cells， pericytes， and macrophages， combined with CellChat and decoupler to analyze cell-cell communication and transcription factor regulation. Finally， PCR and ELISA were used to validate the mRNA and protein expression of relevant genes. ResultsCompared with the sham group， the model group showed significantly increased neurological deficit scores （P<0.01） and significantly decreased cerebral blood flow （P<0.01）， accompanied by cortical structural disorder， aggravated cytoplasmic vacuolization， and increased numbers of Nissl bodies. Compared with the model group， both the HLJDT and GBE groups exhibited significantly reduced neurological deficit scores （P<0.01） and markedly improved cerebral blood flow （P<0.01）， along with amelioration of cortical structural disorder， alleviated cytoplasmic vacuolization， and reduced numbers of Nissl bodies. Single-cell analysis showed that HLJDT protected endothelial cells and pericytes by preventing their reduction， restored the expression of functional genes in these cells （e.g.， PECAM1 and NOS3）， and downregulated the expression of chemokines and adhesion-related factors （e.g.， CCL2 and CXCL2）. In macrophages， HLJDT reduced their recruitment to the central nervous system and downregulated the expression of chemokine receptors and inflammatory factors （e.g.， IL-6， CCR2， and CXCR2）. Cell-cell communication analysis further indicated that HLJDT， through the above mechanisms， alleviated damage to pericytes and endothelial cells， reduced their recruitment of macrophages， and decreased ligand-receptor interactions in chemokine signaling pathways （including CCL， CXCL， and CSF3） between pericytes/endothelial cells and macrophages， thereby preventing secondary injury. Compared with the sham group， the model group showed significantly upregulated mRNA expression levels of IL-1β， IL-6， TNF-α， CCL2， CXCL2， and CSF3 （P<0.01）， while mRNA expression levels of endothelial- and pericyte function-related genes （RGS5， PECAM1， VEGFB， and NOS3） were significantly downregulated （P<0.01）. In contrast， compared with the model group， the HLJDT and GBE groups exhibited significantly decreased mRNA expression levels of IL-1β， IL-6， TNF-α， CCL2， CXCL2， and CSF3 （P<0.01）， and significantly increased expression of RGS5， PECAM1， VEGFB， and NOS3 （P<0.01）. At the protein level， compared with the sham group， the model group showed significantly increased expression of IL-1β， IL-6， and TNF-α （P<0.01）， whereas these protein levels were significantly reduced in the HLJDT and GBE groups compared with the model group （P<0.01）. ConclusionHLJDT reduces neuronal damage in ischemic stroke by protecting endothelial cells and pericytes， while inhibiting their interaction with macrophages， thereby mitigating secondary injury in the central nervous system.

ObjectiveTo explore the mechanism of Yinchenhao Tang regulating the tumor necrosis factor receptor superfamily member 6 （Fas）/cysteine protease-8 （Caspase-8）/cysteine protease-3 （Caspase-3） signaling pathway to inhibit hepatocyte apoptosis and improve cholestatic liver injury （CLI）. MethodsAmong 48 Wistar rats，12 rats were randomly selected as the blank group，and the other rats were administered alpha-naphthalene isothiocyanate （ANIT） by gavage to induce a CLI model. The modeling rats were randomly divided into the model group， the ursodeoxycholic acid group（0.1 g·kg^-1） and the Yinchenhao Tang group（9.23 g·kg^-1），with 12 rats in each group. The rats in each group were given corresponding drugs by gavage for three consecutive days. The levels of alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），gamma-glutamyl transpeptidase （γ-GT），total bilirubin （TBil） and total bile acid （TBA） in serum were detected. The levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in liver tissue were detected. The histopathological changes of the liver were observed by hematoxylin-eosin （HE） staining. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3，B-cell lymphoma-2 （Bcl-2） associated X protein （Bax） and Bcl-2 in liver tissue were detected by Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with those in the blank group，the levels of ALT，AST，ALP，γ-GT，TBA and TBil in serum of the model group were significantly increased （P<0.01）. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly increased （P<0.01）. The arrangement of hepatocytes was disordered，and inflammatory cell infiltration and bile duct epithelial cell proliferation were observed. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly increased（P<0.05，P<0.01），while the protein and mRNA expressions of Bcl-2 were significantly decreased （P<0.05，P<0.01）. Compared with those in the model group，the levels of ALP，γ-GT，TBA and TBil in the serum of rats in the ursodeoxycholic acid group were significantly decreased. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly decreased（P<0.05，P<0.01）. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly decreased （P<0.05，P<0.01），while the mRNA expression of Bcl-2 was significantly increased （P<0.05，）. The levels of ALT，AST，γ-GT，TBA and TBil in the serum of rats in the Yinchenhao Tang group were significantly decreased （P<0.01）. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly decreased （P<0.05，P<0.01）. The protein expression of Fas and Bax and the mRNA expression of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly decreased （P<0.05，P<0.01），while the protein and mRNA expression of Bcl-2 were significantly increased （P<0.05，P<0.01）. Hepatocyte injury，inflammatory cell infiltration and proliferation of bile duct epithelial cells were reduced. ConclusionYinchenhao Tang can ameliorate CLI，and its mechanism may be related to inhibiting hepatocyte apoptosis mediated by the Fas/Caspase-8/Caspase-3 signaling pathway.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.