ObjectiveTo investigate the mechanism of Xiezhuo Jiedu prescription in the treatment of ulcerative colitis （UC） by inhibiting ferroptosis and alleviating intestinal mucosal injury based on the nuclear factor E₂ related factor 2/solute carrier family 7 member/glutathione peroxidase 4 （Nrf2/SLC7A11/GPX4） signaling pathway. MethodsA total of 60 male SD rats were divided into a normal group， a model group， high- and low-dose Xiezhuo Jiedu prescription groups （26.64 and 13.32 g·kg^-1， respectively）， a ferroptosis inhibitor group （Ferrostatin-1， 0.005 g·kg^-1）， and a mesalazine group （0.27 g·kg^-1）， with 10 rats in each group. A UC rat model was established by intrarectal administration of trinitrobenzene sulfonic acid （TNBS）-ethanol. The normal group and the model group were intragastrically administered normal saline. The other groups were given intragastric administration according to the corresponding dosage for 7 d. The general condition， disease activity index （DAI） score， colon length， and mucosal injury index （CDMI） score were observed in each group. The pathological changes of colon tissue in each group were observed by hematoxylin-eosin （HE） staining. The intestinal mucosa and mitochondrial morphology in each group were observed by transmission electron microscopy. The expression levels of Occludin， Claudin-1， mucin 2 （MUC2）， and E-cadherin in intestinal tissue were detected by immunofluorescence （IF）. Enzyme-linked immunosorbent assay （ELISA） was used to detect the expression levels of serum tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） in each group， and a lactic acid assay kit or ELISA was employed to detect the expression levels of reactive oxygen species （ROS）， ferrous ions （Fe²⁺）， glutathione （GSH）， malondialdehyde （MDA）， 4-hydroxynonenal （4-HNE）， diamine oxidase （DAO）， and D-lactate （D-LA）. Real-time quantitative polymerase chain reaction （Real-time PCR） was applied to detect the mRNA expression levels of Nrf2， SLC7A11， GPX4， Occludin， Claudin-1， MUC2， and E-cadherin in each group， and Western blot was adopted to detect the protein expression levels of Nrf2， p-Nrf2， SLC7A11， and GPX4 in each group. ResultsCompared with the normal group， rats in the model group exhibited listlessness， sluggish response， and mucopurulent and bloody stools. The model group also showed significantly increased DAI score， colon length， CDMI score， and expression levels of TNF-α， IL-6， ROS， Fe²⁺， MDA， 4-HNE， DAO， and D-LA （P<0.01）. In addition， it presented significantly decreased IF values of Occludin， Claudin-1， MUC2， and E-cadherin and mRNA and protein expression levels of IL-10， GSH， Nrf2， p-Nrf2， SLC7A11， and GPX4 （P<0.01）. There were different degrees of improvement in each administration group after treatment， and the improvement was the most significant in the high-dose Xiezhuo Jiedu prescription group （P<0.01）. ConclusionXiezhuo Jiedu prescription may alleviate intestinal mucosal injury by inhibiting ferroptosis of intestinal epithelial cells via regulating the Nrf2/SLC7A11/GPX4 signaling pathway， thereby exhibiting efficacy in the treatment of UC.

BACKGROUND:Rapid and accurate segmentation of brain tissue in medical images is of great significance for three-dimensional biomechanical modeling and diagnosis of craniocerebral injuries.Currently,artificial intelligence(AI)-based baseline models exhibit excellent generalization capabilities on large-scale datasets.However,due to the specificity and complexity of craniocerebral tissues,these models have certain limitations in their application to craniocerebral tissue segmentation.Additionally,the scarcity of craniocerebral tissue samples makes it difficult for baseline models to achieve precise segmentation results through fine-tuning.OBJECTIVE:To construct a craniocerebral tissue segmentation model based on texture feature retrieval enhancement to improve segmentation accuracy under a small number of samples.METHODS:Segment Anything in Medical Images(MedSAM)model was selected as the basic framework,and texture features were combined with deep learning to build a brain tissue segmentation model based on texture feature retrieval enhancement(DP-MedSAM).Dice Coefficient and mean intersection over union(MIoU)were selected to evaluate the efficiency of image segmentation results.In comparison with the original MedSAM model,the ablation experiment systematically evaluated the influence of key components on the model performance.The sensitivities of MedSAM,the Segment Anything Model(SAM)for medical image segmentation(SAM-Med2D)and DP-MedSAM in the mandible,left optic nerve,and left parotid gland were compared.RESULTS AND CONCLUSION:(1)By verifying the impact of the number of point prompts on segmentation results on the HaN-Seg dataset,the experimental results indicated that the optimal Dice score was achieved with the addition of three points.(2)DP-MedSAM demonstrated performance improvements compared with MedSAM and SAM-Med2D on two datasets(HaN and Public Domain Database for Computational Anatomy).Especially on the Public Domain Database for Computational Anatomy dataset,in terms of the MIoU metric,DP-MedSAM outperformed MedSAM by 6.59％and SAM-Med2D by 37.35％;in terms of the Dice metric,DP-MedSAM outperformed MedSAM and SAM-Med2D by 4.34％and 25.32％,respectively.(3)The ablation experiment results showed that removing the texture feature extraction module in the DP-MedSAM model,relying solely on original image features,led to a significant decrease in results on the test set.Furthermore,removing the vector cache database and its retrieval enhancement function from the model,which deprived the ability of the model to perform similarity retrieval using an external knowledge base,further reduced model performance.(4)Under conditions of limited data resources,the DP-MedSAM model outperformed the other two models in all evaluation metrics.The DP-MedSAM model performed excellently when processing simple and moderately difficult samples,demonstrating a clear advantage over the other two models and indicating good generalization ability.Processing the fine structures of difficult samples placed higher demands on the model's segmentation capabilities.Although the performance of the DP-MedSAM model declined slightly,it still outperformed the other two models.(5)This study proposes an innovative craniocerebral tissue segmentation model,DP-MedSAM,which improves the baseline model's performance in capturing local details and global structural information in medical images by introducing target region texture feature extraction.Through vector similarity retrieval technology,DP-MedSAM can retrieve the feature vector most similar to the current target region from a pre-constructed vector database,providing more precise guiding information for the segmentation process.

BACKGROUND:Rapid and accurate segmentation of brain tissue in medical images is of great significance for three-dimensional biomechanical modeling and diagnosis of craniocerebral injuries.Currently,artificial intelligence(AI)-based baseline models exhibit excellent generalization capabilities on large-scale datasets.However,due to the specificity and complexity of craniocerebral tissues,these models have certain limitations in their application to craniocerebral tissue segmentation.Additionally,the scarcity of craniocerebral tissue samples makes it difficult for baseline models to achieve precise segmentation results through fine-tuning.OBJECTIVE:To construct a craniocerebral tissue segmentation model based on texture feature retrieval enhancement to improve segmentation accuracy under a small number of samples.METHODS:Segment Anything in Medical Images(MedSAM)model was selected as the basic framework,and texture features were combined with deep learning to build a brain tissue segmentation model based on texture feature retrieval enhancement(DP-MedSAM).Dice Coefficient and mean intersection over union(MIoU)were selected to evaluate the efficiency of image segmentation results.In comparison with the original MedSAM model,the ablation experiment systematically evaluated the influence of key components on the model performance.The sensitivities of MedSAM,the Segment Anything Model(SAM)for medical image segmentation(SAM-Med2D)and DP-MedSAM in the mandible,left optic nerve,and left parotid gland were compared.RESULTS AND CONCLUSION:(1)By verifying the impact of the number of point prompts on segmentation results on the HaN-Seg dataset,the experimental results indicated that the optimal Dice score was achieved with the addition of three points.(2)DP-MedSAM demonstrated performance improvements compared with MedSAM and SAM-Med2D on two datasets(HaN and Public Domain Database for Computational Anatomy).Especially on the Public Domain Database for Computational Anatomy dataset,in terms of the MIoU metric,DP-MedSAM outperformed MedSAM by 6.59％and SAM-Med2D by 37.35％;in terms of the Dice metric,DP-MedSAM outperformed MedSAM and SAM-Med2D by 4.34％and 25.32％,respectively.(3)The ablation experiment results showed that removing the texture feature extraction module in the DP-MedSAM model,relying solely on original image features,led to a significant decrease in results on the test set.Furthermore,removing the vector cache database and its retrieval enhancement function from the model,which deprived the ability of the model to perform similarity retrieval using an external knowledge base,further reduced model performance.(4)Under conditions of limited data resources,the DP-MedSAM model outperformed the other two models in all evaluation metrics.The DP-MedSAM model performed excellently when processing simple and moderately difficult samples,demonstrating a clear advantage over the other two models and indicating good generalization ability.Processing the fine structures of difficult samples placed higher demands on the model's segmentation capabilities.Although the performance of the DP-MedSAM model declined slightly,it still outperformed the other two models.(5)This study proposes an innovative craniocerebral tissue segmentation model,DP-MedSAM,which improves the baseline model's performance in capturing local details and global structural information in medical images by introducing target region texture feature extraction.Through vector similarity retrieval technology,DP-MedSAM can retrieve the feature vector most similar to the current target region from a pre-constructed vector database,providing more precise guiding information for the segmentation process.

Anhedonia is one of the core symptoms of major depressive disorder, and its underlying mechanisms remain unclear. The regulation of the reward process in brain regions, such as the hippocampus, amygdala, striatum, ventral tegmental brain, and prefrontal lobe, may play a role in anhedonia. This study has concluded the changes in relevant brain regions in reward anticipation, decision-making, and feedback processes. The neuroimaging mechanisms of inflammation, neurotransmitter metabolism, and gene expression on depression anhedonia symptoms were reviewed.

Objective To explore the mechanism of Huanglian Ganjiang Decoction in regulating the mitochondrial apoptotic pathway through the NF-κB/CXCL1/CXCR2 pathway in ulcerative colitis(UC).Methods Sixty C57BL/6J mice were divided into normal group,model group,Huanglian Ganzhang Decoction groups(low,medium and high doses)and mesalazine group.Except for the normal group,UC models were established in the other groups.The general conditions of the mice of all groups were recorded.HE staining was used to observe the pathological changes of the colon and rectum;electron microscopy was used to observe the mitochondrial condition;ELISA was used to determine the contents of IL-6,IL-10,D-lactic acid and DAO;Real-time PCR was used to detect the mRNA expression of NF-κB p65,CXCL1,CXCR2,Bcl-2 and Bax;Western blot was used to determine the protein expression levels of NF-κB p65,CXCL1,CXCR2,p-JAK2,p-STAT3,Bcl-2 and Bax.Results Compared with the normal group,the model group of mice showed a decline in condition,shortened length of the colon and rectum,and mitochondrial structural damage,furthermore,the levels of IL-6,DAO and D-lactic acid were increased,IL-10 level was decreased,the mRNA expression of NF-κB p65,CXCL1,CXCR2 and Bax were enhanced,Bcl-2 mRNA expression was weakened,the protein expression of NF-κB p65,CXCL1,CXCR2,p-JAK2,p-STAT3 and Bax were enhanced,Bcl-2 protein expression was weakened.Compared with the model group,the indexes mentioned above were reversed in the drug groups,especially in the high-dose group.Conclusion Huanglian Ganjiang Decoction may exert its therapeutic effect on UC in mice by regulating the NF-κB/CXCL1/CXCR2 pathway and mitochondrial apoptotic pathway.

Objective:To verify and compare the correlation and diagnostic efficacy of international bowel ultrasound segmental activity score（IBUS-SAS），bowel ultrasound score（BUSS），simple ultrasound score for Crohn's disease（SUS-CD），and simple ultrasound score（Simple-US）with endoscopic disease activity in Crohn's disease（CD）patients. To provide external validation of the diagnostic efficacy of intestinal ultrasound（IUS）score and theoretical basis for clinical selection of optimal IUS score.Methods:A total of 160 patients with clinical diagnosis of CD combined with IUS and intestinal endoscopy were retrospectively analyzed in the Second Affiliated Hospital of Zhejiang University School of Medicine from January 2022 to August 2024. IUS parameters were measured and scored with IBUS-SAS，SUS-CD，BUSS and Simple-US scores. Endoscopic SES-CD was used to evaluate intestinal disease activity in patients without history of intestinal resection，and Rutgeerts score was used to evaluate intestinal disease activity in patients with history of intestinal resection. Endoscopic remission in patients with CD was defined as SES-CD < 3 or Rutgeerts score i0 and i1，mild endoscopic disease activity was defined as 7 > SES-CD≥3 or Rutgeerts score = 2，moderate endoscopic disease activity was defined as 15 > SES-CD≥7 or Rutgeerts score i3，severe endoscopic disease activity was defined as SES-CD≥15 or Rutgeerts i4. The correlation and diagnostic efficacy of IBUS-SAS，SUS-CD，BUSS and Simple-US scores with endoscopic disease activity in patients with CD were compared and analyzed.Results:IUS scores including IBUS-SAS，SUS-CD，BUSS and Simple-US were significantly correlated with endoscopic intestinal disease activity，SES-CD and Rutgeerts scores in CD patients（ r s = 0.706，0.492，0.502，0.526；0.825，0.581，0.584，0.603；0.541，0.434，0.437，0.467；all P＜0.05）. Among them，IBUS-SAS showed better correlation than the other three IUS scores. ROC curve showed that IBUS-SAS，SUS-CD，BUSS，and Simple-US had high predictive values for endoscopic disease activity and endoscopic disease moderate-severe activity in patients with CD（AUC = 0.886，0.748，0.730，0.756；all P＜0.05）. The diagnostic efficacy of IBUS-SAS on the presence of endoscopic disease activity in patients with CD was significantly higher than those of the other three IUS scores . Conclusions:IBUS-SAS，SUS-CD，BUSS and Simple-US are significantly correlated with the endoscopic results of on intestinal disease activity of CD，and have high predictive values for intestinal disease activity status，among which IBUS-SAS is superior to the other three IUS scores. It is recommended that IBUS-SAS be used first to evaluate intestinal disease activity in patients with CD.

Objective To explore the mechanism of Huanglian Ganjiang Decoction in regulating the mitochondrial apoptotic pathway through the NF-κB/CXCL1/CXCR2 pathway in ulcerative colitis(UC).Methods Sixty C57BL/6J mice were divided into normal group,model group,Huanglian Ganzhang Decoction groups(low,medium and high doses)and mesalazine group.Except for the normal group,UC models were established in the other groups.The general conditions of the mice of all groups were recorded.HE staining was used to observe the pathological changes of the colon and rectum;electron microscopy was used to observe the mitochondrial condition;ELISA was used to determine the contents of IL-6,IL-10,D-lactic acid and DAO;Real-time PCR was used to detect the mRNA expression of NF-κB p65,CXCL1,CXCR2,Bcl-2 and Bax;Western blot was used to determine the protein expression levels of NF-κB p65,CXCL1,CXCR2,p-JAK2,p-STAT3,Bcl-2 and Bax.Results Compared with the normal group,the model group of mice showed a decline in condition,shortened length of the colon and rectum,and mitochondrial structural damage,furthermore,the levels of IL-6,DAO and D-lactic acid were increased,IL-10 level was decreased,the mRNA expression of NF-κB p65,CXCL1,CXCR2 and Bax were enhanced,Bcl-2 mRNA expression was weakened,the protein expression of NF-κB p65,CXCL1,CXCR2,p-JAK2,p-STAT3 and Bax were enhanced,Bcl-2 protein expression was weakened.Compared with the model group,the indexes mentioned above were reversed in the drug groups,especially in the high-dose group.Conclusion Huanglian Ganjiang Decoction may exert its therapeutic effect on UC in mice by regulating the NF-κB/CXCL1/CXCR2 pathway and mitochondrial apoptotic pathway.

Objective:To verify and compare the correlation and diagnostic efficacy of international bowel ultrasound segmental activity score（IBUS-SAS），bowel ultrasound score（BUSS），simple ultrasound score for Crohn's disease（SUS-CD），and simple ultrasound score（Simple-US）with endoscopic disease activity in Crohn's disease（CD）patients. To provide external validation of the diagnostic efficacy of intestinal ultrasound（IUS）score and theoretical basis for clinical selection of optimal IUS score.Methods:A total of 160 patients with clinical diagnosis of CD combined with IUS and intestinal endoscopy were retrospectively analyzed in the Second Affiliated Hospital of Zhejiang University School of Medicine from January 2022 to August 2024. IUS parameters were measured and scored with IBUS-SAS，SUS-CD，BUSS and Simple-US scores. Endoscopic SES-CD was used to evaluate intestinal disease activity in patients without history of intestinal resection，and Rutgeerts score was used to evaluate intestinal disease activity in patients with history of intestinal resection. Endoscopic remission in patients with CD was defined as SES-CD < 3 or Rutgeerts score i0 and i1，mild endoscopic disease activity was defined as 7 > SES-CD≥3 or Rutgeerts score = 2，moderate endoscopic disease activity was defined as 15 > SES-CD≥7 or Rutgeerts score i3，severe endoscopic disease activity was defined as SES-CD≥15 or Rutgeerts i4. The correlation and diagnostic efficacy of IBUS-SAS，SUS-CD，BUSS and Simple-US scores with endoscopic disease activity in patients with CD were compared and analyzed.Results:IUS scores including IBUS-SAS，SUS-CD，BUSS and Simple-US were significantly correlated with endoscopic intestinal disease activity，SES-CD and Rutgeerts scores in CD patients（ r s = 0.706，0.492，0.502，0.526；0.825，0.581，0.584，0.603；0.541，0.434，0.437，0.467；all P＜0.05）. Among them，IBUS-SAS showed better correlation than the other three IUS scores. ROC curve showed that IBUS-SAS，SUS-CD，BUSS，and Simple-US had high predictive values for endoscopic disease activity and endoscopic disease moderate-severe activity in patients with CD（AUC = 0.886，0.748，0.730，0.756；all P＜0.05）. The diagnostic efficacy of IBUS-SAS on the presence of endoscopic disease activity in patients with CD was significantly higher than those of the other three IUS scores . Conclusions:IBUS-SAS，SUS-CD，BUSS and Simple-US are significantly correlated with the endoscopic results of on intestinal disease activity of CD，and have high predictive values for intestinal disease activity status，among which IBUS-SAS is superior to the other three IUS scores. It is recommended that IBUS-SAS be used first to evaluate intestinal disease activity in patients with CD.

Anhedonia is one of the core symptoms of major depressive disorder, and its underlying mechanisms remain unclear. The regulation of the reward process in brain regions, such as the hippocampus, amygdala, striatum, ventral tegmental brain, and prefrontal lobe, may play a role in anhedonia. This study has concluded the changes in relevant brain regions in reward anticipation, decision-making, and feedback processes. The neuroimaging mechanisms of inflammation, neurotransmitter metabolism, and gene expression on depression anhedonia symptoms were reviewed.

Objective To explore the motor coordination characteristics of the attack leg of the athletes under scoring actions in the front roundhouse kick of competitive taekwondo,and provide a theoretical basis for coaches to formulate precise training strategies in stages and segments so as to enhance the efficiency and success rate of the athletes' movements.Methods Kinematic data and surface electromyography signals were collected from 15 elite Taekwondo athletes during different phases of the front roundhouse kick.The continuous relative phase(CRP)method was used to calculate the joint coordination and variability of continuous relative phase(VCRP),while non-negative matrix factorization and k-means clustering were used to analyze muscle synergy characteristics.Results The coupling of the neural launch phase was dominated by knee-ankle coupling in coronal axis and hip-ankle coupling in sagittal axis.The coupling of the kicking phase was dominated by hip-knee,hip-ankle in coronal axis,and knee-ankle coupling in vertical axis.The coupling of the recovery phase was dominated by hip-knee,hip-ankle coupling in coronal axis,and knee-ankle coupling in sagittal axis.These coupling relationships remained relatively stable around 0 rad.Approximately 80.0％VCRP remained stable across all phases,with minor fluctuations occurring at phase transitions.A total of 4,5,and 4 muscle synergy clusters were identified in neural launch,kicking,recovery phases,respectively.There were significant differences in the mean gap values among phases(P＜0.001).However,there were no significant differences in the mean sparsity values among phases(P＞0.05).Some muscle synergies were shared across phases,while others differentiated to form phase-specific coordination patterns.Conclusions Joint coordination in each phase exhibited 1-3 primary stable patterns with flexibility during transitions.Muscle coordination was dynamically adjusted throughout the motion,and a general muscle synergy pattern functioned consistently across different phases,whereas a differentiated muscle synergy pattern fulfilled the phase-specific functional demands.The neural launch and kicking phases should be focused on during training,with the emphasis on controling over critical points to optimize performance.