In recent years, researchers have found that patients with nonalcoholic fatty liver disease (NAFLD) often have urolithiasis, and the incidence of urolithiasis increases gradually with the severity of NAFLD. Meanwhile, the detection rate of NAFLD was higher in patients with urolithiasis than in normal controls. In this paper, we reviewed the domestic and international studies on the correlation between urolithiasis and NAFLD and described the related pathogenesis, such as insulin resistance, oxidative stress, abnormal lipid metabolism and impaired glyoxalate detoxification. Meanwhile, this paper proposed preventive measures to reduce the risk of development and recurrence of NAFLD-associated urolithiasis by addressing the common risk factors of both diseases, including metabolism-related diseases, lifestyle and diet.

【Objective】 To investigate the common etiology, characteristics and treatment of iatrogenic ureteral stricture. 【Methods】 The clinical data of 226 patients with ureteral stricture repaired during May 2019 and Mar. 2022 were retrospectively analyzed, including 68 cases of iatrogenic ureteral stricture. According to the etiology, the patients were divided into urinary group and non-urinary group. 【Results】 There were 42 females and 26 males, aged 25 to 67 (average 49.0±10.4) years. Upper ureteral stricture was detected in 24 (35.3%) cases, who received oral mucosal repair of the ureter. Middle ureteral stricture was detected in 12 (17.6%) cases, who underwent ileal ureterography. Lower ureteral stricture was observed in 24 (35.3%) cases, who were treated with vesical wall flap ureteroplasty. Full-length stricture was observed in 8 (11.8%) cases,who were treated with ileal ureterography. There were significant differences in age, gender, stenosis side, stenosis location and length, surgical methods and types between patients in the urinary group and non-urinary group (P<0.05). During the follow-up of 8 to 20 (average 12.3±5.6) months, the symptoms and renal function of all patients improved, and no recurrence occurred. 【Conclusion】 Invasive endourological surgery is the most common cause of iatrogenic ureteral stenosis. Different treatment strategies should be adopted according to patients’ condition, time of diagnosis and location and length of ureteral injury.

OBJECTIVES: To construct a prediction model for the prognosis of bladder cancer patients based on the expression of ion channel-related genes (ICRGs). METHODS: ICRGs were obtained from the existing researches. The clinical information and the expression of ICRGs mRNA in breast cancer patients were obtained from the Cancer Genome Atlas database. Cox regression analysis, minimum absolute shrinkage and selection operator regression analysis were used to screen breast cancer prognosis related genes, which were verified by immunohistochemistry and qRT-PCR. The risk scoring equation for predicting the prognosis of patients with bladder cancer was constructed, and the patients were divided into high-risk group and low-risk group according to the median risk score. Immune cell infiltration was compared between the two groups. Kaplan-Meier survival curve and receiver operating characteristic (ROC) curve were used to evaluate the accuracy and clinical application value of the risk scoring equation. The factors related to the prognosis of bladder cancer patients were analyzed by univariate and multivariate Cox regression, and a nomogram for predicting the prognosis of bladder cancer patients was constructed. RESULTS: By comparing the expression levels of ICRGs in bladder cancer tissues and normal bladder tissues, 73 differentially expressed ICRGs were dentified, of which 11 were related to the prognosis of bladder cancer patients. Kaplan-Meier survival curve suggested that the risk score based on these 11 genes was negatively correlated with the prognosis of patients. The area under the ROC curve of the risk score for predicting the prognosis of patients at 1, 3 and 5 year was 0.634, 0.665 and 0.712, respectively. Stratified analysis showed that the ICRGs-based risk score performed well in predicting the prognosis of patients with American Joint Committee on Cancer (AJCC) stage Ⅲ-Ⅳ bladder cancer (P<0.05), while it had a poor value in predicting the prognosis of patients with AJCC stage Ⅰ-Ⅱ (P>0.05). There were significant differences in the infiltration of plasma cells, activated natural killer cells, resting mast cells and M2 macrophages between the high-risk group and the low-risk group. Cox regression analysis showed that risk score, smoking, age and AJCC stage were independently associated with the prognosis of patients with bladder cancer (P<0.05). The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1, 3 and 5 year overall survival rate of bladder cancer patients. CONCLUSIONS The study shows the potential value of ICRGs in the prognostic risk assessment of bladder cancer patients. The constructed prognostic nomogram based on ICRGs risk score has high accuracy in predicting the prognosis of bladder cancer patients.
Humans ; Female ; Prognosis ; Urinary Bladder Neoplasms/genetics* ; Urinary Bladder ; Ion Channels ; Breast Neoplasms

OBJECTIVES: To classify bladder cancer based on immune cell infiltration score and to construct a risk assessment model for prognosis of patients. METHODS: The transcriptome data and data of breast cancer patients were obtained from the TCGA database. The single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells. The classification of breast cancer patients was realized by unsupervised clustering, and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed. The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis (WGCNA), and the key genes in the modules were extracted. A risk scoring model and a nomogram for risk assessment of prognosis for bladder cancer patients were constructed and verified. RESULTS: The immune cell infiltration scores of normal tissues and tumor tissues were calculated, and B cells, mast cells, neutrophils, T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer. Breast cancer patients were clustered into two groups (Cluster 1 and Custer 2) based on immune cell infiltration scores. Compared with patients with Cluster 1, patients with Cluster 2 were more likely to benefit from immunotherapy (P<0.05), and patients with Cluster 2 were more sensitive to Enbeaten, Docetaxel, Cyclopamine, and Akadixin (P<0.05). WGCNA screened out 35 genes related to key immune cells, and 4 genes (GPR171, HOXB3, HOXB5 and HOXB6) related to the prognosis of bladder cancer were further screened by LASSO Cox regression. The areas under the ROC curve (AUC) of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-, 3- and 5-year survival of patients were 0.735, 0.765 and 0.799, respectively. The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-, 3-, and 5-year overall survival of bladder cancer patients. CONCLUSIONS According to the immune cell infiltration score, bladder cancer patients can be classified. And the bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients.