Ulcerative colitis （UC） is a chronic， non-specific intestinal inflammatory disease. Its pathogenesis is complex， involving interactions among genetic， immune， and environmental factors， and remains incompletely elucidated. Mitochondrial damage can trigger the abnormal release of mitochondrial damage-associated molecular patterns （mtDAMPs）， activating inflammatory pathways and thereby exacerbating the inflammatory response in UC. Mitophagy， a core mitochondrial quality control mechanism， can clear damaged mitochondria and effectively reduce the abnormal release of mtDAMPs and the accumulation of harmful substances， thereby mitigating inflammatory damage resulting from mitochondrial dysfunction. Mitophagy plays a crucial role in maintaining the integrity of the intestinal epithelial barrier function and in the prevention and intervention of UC. Notably， the function of the spleen governing transportation and transformation in traditional Chinese medicine shares similarities with the role of mitochondria in energy transformation and substance metabolism. Furthermore， the pathological state of the spleen failing in transportation and transformation may be related to mitochondrial dysfunction， while the pathogenic characteristics of "endogenous turbid pathogen" align with the inflammatory cascade responses triggered by abnormal release of mtDAMPs. Based on this theoretical correlation， this paper aims to explore the correlation between the traditional Chinese medicine theory of "spleen dysfunction in essence distribution leading to endogenous turbid pathogens" and mitophagy. Using the correlation as an entry point， the potential role of mitophagy in the pathogenesis of UC was elucidated. Additionally， by considering the epidemiological characteristics of UC in the Southwest region of China， a new thinking for the treatment of UC from the perspective of turbid pathogens was proposed based on the "fortifying the spleen and resolving turbidity" method to provide theoretical support and research enlightenment for further exploring the prevention and treatment of UC with traditional Chinese medicine.

Objective To explore the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound,construct a nomogram for predicting poor postoperative prognosis,and conduct external validation of the nomogram.Methods Clinical data of 451 patients with intestinal obstruction who underwent endoscopic ultrasound transnasal-intestinal obstruction catheterization from February 2019 to February 2022 were collected to establish a nomogram.Then,194 sets of data with the same conditions from February 2022 to February 2024 were collected as the external validation group to validate the model externally.The recovery at 30 d after operation was observed and divided into good prognosis group and poor prognosis group.Multivariate Logistic regression model was used to analyze the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound.Using R 3.6.3 software and the RMS package,a nomogram model for predicting the risk of poor prognosis after intestinal obstruction catheterization under endoscopic ultrasound was constructed..The discrimination and consistency of the model were evaluated using receiver operator characteristic curve(ROC curve)and calibration curve.Results The patients in the poor prognosis group were older than those in the good prognosis group,the levels of C-reactive protein(CRP),procalcitonin(PCT)and neutrophil to lymphocyte ratio(NLR)were higher than those in the good prognosis group,the length of hospital stay was longer than that in the good prognosis group,and the proportion of diabetes,abdominal pain and hormone using were higher than those in the good prognosis group,body mass index(BMI),preoperative albumin level and preoperative nutritional support ratio were lower than those of the good prognosis group,with statistical significance(P<0.05).Multivariate Logistic regression analysis(introduction level was 0.05,exclusion level was 0.107)showed that:age≥68 years(OR＾=2.631,95%CI:1.927～3.593),BMI<22.31 kg/m2(OR＾=2.142,95%CI:1.436～3.195),preoperative albumin<32.47g/L(OR＾=1.962,95%CI:1.506～2.556)and preoperative nutritional non-support(OR＾=2.814,95%CI:1.401～5.654)were independent risk factors affecting the poor prognosis after endoscopic transnasal-intestinal obstruction catheterization(P<0.05).The column nomogram showed that old age,low BMI,low preoperative albumin,and no preoperative nutritional support all increased their corresponding weights.Internal and external validation results indicated good consistency and discrimination of the model.Conclusion age≥68 years,BMI<22.31 kg/m2,preoperative albumin<32.47 g/L,and no preoperative nutritional support are all independent risk factors affecting the ineffective of intestinal obstruction catheterization under endoscopic ultrasound.The nomogram model established in this study based on these four factors has high reliability and practicality.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

Objective To explore the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound,construct a nomogram for predicting poor postoperative prognosis,and conduct external validation of the nomogram.Methods Clinical data of 451 patients with intestinal obstruction who underwent endoscopic ultrasound transnasal-intestinal obstruction catheterization from February 2019 to February 2022 were collected to establish a nomogram.Then,194 sets of data with the same conditions from February 2022 to February 2024 were collected as the external validation group to validate the model externally.The recovery at 30 d after operation was observed and divided into good prognosis group and poor prognosis group.Multivariate Logistic regression model was used to analyze the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound.Using R 3.6.3 software and the RMS package,a nomogram model for predicting the risk of poor prognosis after intestinal obstruction catheterization under endoscopic ultrasound was constructed..The discrimination and consistency of the model were evaluated using receiver operator characteristic curve(ROC curve)and calibration curve.Results The patients in the poor prognosis group were older than those in the good prognosis group,the levels of C-reactive protein(CRP),procalcitonin(PCT)and neutrophil to lymphocyte ratio(NLR)were higher than those in the good prognosis group,the length of hospital stay was longer than that in the good prognosis group,and the proportion of diabetes,abdominal pain and hormone using were higher than those in the good prognosis group,body mass index(BMI),preoperative albumin level and preoperative nutritional support ratio were lower than those of the good prognosis group,with statistical significance(P<0.05).Multivariate Logistic regression analysis(introduction level was 0.05,exclusion level was 0.107)showed that:age≥68 years(OR＾=2.631,95%CI:1.927～3.593),BMI<22.31 kg/m2(OR＾=2.142,95%CI:1.436～3.195),preoperative albumin<32.47g/L(OR＾=1.962,95%CI:1.506～2.556)and preoperative nutritional non-support(OR＾=2.814,95%CI:1.401～5.654)were independent risk factors affecting the poor prognosis after endoscopic transnasal-intestinal obstruction catheterization(P<0.05).The column nomogram showed that old age,low BMI,low preoperative albumin,and no preoperative nutritional support all increased their corresponding weights.Internal and external validation results indicated good consistency and discrimination of the model.Conclusion age≥68 years,BMI<22.31 kg/m2,preoperative albumin<32.47 g/L,and no preoperative nutritional support are all independent risk factors affecting the ineffective of intestinal obstruction catheterization under endoscopic ultrasound.The nomogram model established in this study based on these four factors has high reliability and practicality.

Objective: To evaluate the immunity and influencing factors of diphtheria among preschool children in Shenzhen,to provide reference for effective monitoring of diphtheria IgG antibody level in preschool children. Methods: Serum samples were collected from 296 preschool children aged 4-6 who were recruited in Shenzhen. The diphtheria antibody titer in serum was determined by enzyme linked immunosorbent assay, and the effect of different immumuzation schedule including types of vaccine and vaccination timing, on the geometric mean concentration (GMC) of diphtheria IgG antibody and antibody positive rate were analyzed. Results: The GMC of diphtheria IgG antibody was 0.71 IU/mL, and the positive conversion rate was 33.1%. There were significant differences in antibody GMC and antibody positive conversion rate of diphtheria in different age groups( F/χ 2=11.77, 27.45, P < 0.01 ). The GMC and antibody positive conversion rate showed significant differences by diphtheria antibodies, vaccine types and end dose vaccination intervals( F=49.53, 12.95，11.61, P <0.01). There were statistically significant differences in the positive conversion rate of diphtheria antibodies in children with different types of diphtheria antibodies, vaccine types of diphtheria antibodies, and diphtheria antibodies at the time interval of final vaccination (Fisher exact probability method, P <0.01). Conclusion The overall positive conversion rate of diphtheria antibody in preschool children in Shenzhen is high. Timely completion of full diphtheria vaccination can improve the antibody level and plays a better role in protecting preschool children.

Objective:To investigate the role of serum hepatitis B virus RNA (HBV RNA) in predicting HBeAg serological conversion in children with chronic hepatitis B.Methods:175 children aged 1~17 years with chronic hepatitis B who received interferon α (IFNα) for 48 weeks were selected. Patients were divided into HBeAg seroconversion and non-conversion based on whether HBeAg seroconversion occurred at 48 weeks of treatment.T-test and Mann-Whitney U test were used to compare between groups; chisquare test or Fisher exact probability method was used to compare the frequency between groups of classified variables; and Pearson correlation was used to analyze the correlation between indicators. Univariate and multivariate logistic regression analyses were used to identify influencing factors associated with HBeAg serological conversion. The predictive effect of HBV RNA, HBV DNA, and HBsAg on HBeAg serological conversion was compared and analyzed by the receiver operating characteristic curve (ROC).Results:The seroconversion rate of HBeAg at 48 weeks was 36.0% (63/175). The reduction in HBVRNA levels from baseline to the 12th, 24th, 36th, and 48th weeks of antiviral therapy was significantly greater in the HBeAg serological conversion group than that in the non-conversion group, and the difference was statistically significant between the two groups (P < 0.05). Univariate and multivariate regression analyses showed that age and a decline in HBV RNA levels at week 12 were independent predictors of HBeAg serological conversion. The area under the ROC curve (AUROC) of HBV RNA decline at week 12 was 0.677(95% CI∶0.549-0.806, P = 0.012), which was significantly better than the same period of AUROC of HBV DNA (0.657, 95% CI∶0.527-0.788, P = 0.025) and HBsAg (0.660, 95% CI∶0.526-0.795, P = 0.023) decline. HBV RNA levels decreased (>1.385 log10 copies/ml) at week 12, with a positive predictive value of 53.2%, a negative predictive value of 72.2%, a sensitivity of 77.4%, and a specificity of 57.9% for HBeAg seroconversion. Conclusion:HBV RNA level lowering during the 12th week of antiviral therapy can serve as an early predictor marker for HBeAg serological conversion in children with chronic hepatitis B.

Objective To analyze the expression of KCNJ11 mRNA in gliomas and its prognostic value. Methods The clinical, histopathological and molecular pathological features of 273 patients with gliomas were collected from CGGA. We analyzed the differences of KCNJ11 mRNA expression in different types of gliomas and the survival time of patients with high and low expression of KCNJ11 mRNA in different subtypes of gliomas. Results The expression levels of KCNJ11 mRNA in young glioma and primary glioma patients were higher than those in old glioma and recurrent glioma patients, respectively (P=0.008, 0.001). The expression of KCNJ11 mRNA in oligodendroglioma was the highest, astrocytoma was the second, and glioblastoma was the lowest (P=0.000). The expression of KCNJ11 mRNA in WHOⅡ grade glioma was the highest, WHOⅢ was the second, and WHOⅣ was the lowest (P=0.000). The expression levels of KCNJ11 mRNA in IDH-mutant type glioma patients were higher than those in IDH-wild type glioma patients (P=0.000). The expression of KCNJ11 mRNA in deletion of 1p/19q glioma patients was higher than that in non-deletion of 1p/19q ones (P=0.000). The expression of KCNJ11 mRNA in MGMT methylated glioma patients was higher than that in non-methylated ones (P=0.036). The survival time of patients with high expression of KCNJ11 mRNA (≥2.77) was longer than that with low expression (P=0.000). Multivariate Cox analysis showed that the high expression of KCNJ11 mRNA was an independent factor affecting the good prognosis of patients with glioma. Conclusion The expression of KCNJ11 mRNA is negatively related to the malignant degree of the tumor. The high expression of KCNJ11 mRNA is an independent factor affecting the good prognosis of patients with glioma.

Objective:To evaluate the value of transrectal ultrasound(TRUS)in diagnosing extramural venous invasion(EMVI) of rectal cancer.Methods:Clinical data of 81 rectal cancer patients were retrospectively analyzed in the People′s Hospital of Inner Mongolia Autonomous Region from January 2015 to December 2021. The extramural vascular sonographic features in these patients were summarized. Based on the postoperative pathology and compared with MRI examination, the efficacy of TRUS for the diagnosis of EMVI in rectal cancer was investigated.Results:①According to the sonographic presentation, extramural vessels of rectal cancer can be divided into the following four types: typeⅠshowed that the mass broke through the muscularis propria of the intestinal wall, and no peripheral vascular shadow was observed; typeⅡshowed that the mass broke through the muscularis propria, surrounded by extraneous vessels with normal diameter, running and blood flow; type Ⅲ showed that the mass broke through the intrinsic muscle layer of the intestinal wall and was surrounded by extramural vessels with abnormally thickened diameters, and blood flow filling defects; type Ⅳ showed a mass that broke through the intrinsic muscular layer, with irregularly dilated vessels outside the peritumoral wall and no blood flow signal in the lumen. ②With type Ⅲ and type Ⅳ as positive signs of EMVI, the diagnosis compliance rate of TRUS was 90.1% (Kappa=0.580, P<0.001), sensitivity was 58.3%, specificity was 95.7%, positive predictive value was 70.0%, negative predictive value was 93.0%, and area under the ROC curve(AUC) was 0.770. The diagnosis compliance rate of MRI was 86.4% (Kappa=0.541, P<0.001), sensitivity was 75.0%, specificity was 88.4%, positive predictive value was 52.9%, negative predictive value was 95.3%, and the AUC was 0.817. The differences in sensitivity and specificity between TRUS and MRI for the diagnosis of rectal cancer EMVI were not statistically significant ( P>0.05), and the differences in the AUC were not statistically significant ( Z=0.447, P=0.655). Conclusions:TRUS is valuable in assessing the extramural vascular status of rectal cancer and is expected to be an effective imaging method for preoperative diagnosis of EMVI.

Objective::Microchannels are associated with the progression of atherosclerotic vulnerable plaques. However, in patients with culprit optical coherence tomography (OCT)-defined plaque erosion, the knowledge of microchannels and culprit lesion vulnerability is limited. The aim of this study was to investigate culprit lesion characteristics in patients with ST-segment elevated myocardial infarction (STEMI) caused by plaque erosion with and without microchannels using OCT.Methods::In all, 348 STEMI patients with plaque erosion who underwent OCT of the culprit lesion at the 2 nd Affiliated Hospital of Harbin Medical University (Harbin, China) from August 2014 to December 2017 were included and divided into the microchannel group ( n= 116, 33.3%) and no-microchannel group ( n = 232, 66.7%). The clinical characteristics and OCT-derived plaque features were compared between both groups. Results::Among the 348 STEMI patients with plaque erosion, culprit lesions with microchannels had higher incidence of lipid plaque (59.5% vs. 45.3%, P= 0.012); calcification (41.4% vs. 24.6%, P= 0.002); spotty calcification (30.2% vs. 18.1%, P= 0.014); macrophages accumulation (72.4% vs. 45.7%, P < 0.001); and cholesterol crystals (32.8% vs. 14.2%, P < 0.001) than those without microchannels. In addition, minimal lumen area was smaller ((1.9 ± 0.9) mm 2vs. (2.8 ± 2.3) mm 2, P < 0.001) and lumen area stenosis was greater ((71.3% ± 13.4%) vs. (65.3% ± 19.3%), P= 0.001) in the microchannel group than in the no-microchannel group. Conclusion::In patients with STEMI caused by plaque erosion, one-third manifested typical microchannel characteristics, and those with microchannels were associated with more severe luminal stenosis and more vulnerable plaque features than those without microchannels.