Objective:To explore the value of neutrophil extracellular traps (NETs) and interleukin (IL)-33 in the early diagnosis of contrast-induced acute kidney injury (CIAKI).Methods:It was a prospective cohort study. The clinical data of patients who underwent coronary angiography (CAG) in Sir Run Run Hospital, Nanjing Medical University from December 2022 to December 2023 were collected. The main indicators of NETs included myeloperoxidase (MPO), neutrophil elastase (NE), citrullinated histone H3 (H3Cit) and antimicrobial peptide LL-37 amide (LL-37). Serum samples were collected before CAG, and 2 hours and 12 hours after CAG, and the levels of MPO, NE, H3Cit, LL-37, IL-33 and neutrophil gelatinase-associated lipocalin (NGAL) were detected. The differences of clinical data between CIAKI group and non-CIAKI group were compared. Multivariate logistic regression model was applied to analyze the risk factors of CIAKI. The receiver- operating characteristic curve was used to evaluate the predictive performance of biomarkers. Spearman correlation analysis was used to analyze the correlations among those biomarkers.Results:A total of 280 eligible patients with CAG were included in this study, with age of (65±13) years and 203 males (72.5%). The incidence rate of CIAKI was 11.8% (33/280). Compared with non-CIAKI group, the proportions of diabetes ( χ2=5.302, P=0.021), preoperative positive urine protein ( χ2=6.871, P=0.009), taking beta-blockers ( χ2=4.580, P=0.032), diuretics ( χ2=21.987, P<0.001) and calcium channel blocker ( χ2=10.424, P=0.001), preoperative blood glucose ( Z=2.807, P=0.005), preoperative blood urea nitrogen ( Z=2.504, P=0.012), neutrophil at 24 hours after CAG ( Z=2.173, P=0.030), serum creatinine at 24 hours after CAG ( Z=4.000, P<0.001), and blood urea nitrogen at 24 hours after CAG ( Z=4.459, P<0.001) were higher, while the preoperative hemoglobin ( Z=-2.380, P=0.017) and serum albumin ( Z=-2.556, P=0.011) were lower in CIAKI group. Multivariate logistic regression analysis showed that increasing neutrophil at 24 hours after CAG ( OR=1.180，95% CI 1.037-1.341), diuretics ( OR=5.615，95% CI 2.294-13.745) and calcium channel blockers ( OR=3.141，95% CI 1.374-7.182) were independent influencing factors of CIAKI. There were statistically significant differences in the levels of serum NE, MPO, H3Cit, LL-37, NGAL and IL-33 among before CAG, 2 hours after CAG and 12 hours after CAG in the overall population, CIAKI group and non-CIAKI group (all P<0.05). In addition, the changes of IL-33 before CAG and 12 hours after CAG was positively correlated with the changes of MPO, NE, H3Cit, LL-37, NGAL, serum creatinine and blood urea nitrogen before CAG and 12 hours after CAG (all P<0.05). The levels of NE ( Z=3.435, P=0.001; Z=6.164， P<0.001), MPO ( Z=3.627, P<0.001; Z=4.729, P<0.001), H3Cit ( Z=5.174, P<0.001; Z=6.241, P<0.001), LL-37 ( Z=4.986, P<0.001; Z=6.346, P<0.001), NGAL ( Z=2.956, P=0.003; Z=4.263, P<0.001) and IL-33 ( Z=5.056, P<0.001; Z=6.240, P<0.001) in CIAKI group at 2 h and 12 h after CAG were significantly higher than those in non-CIAKI group. The receiver-operating characteristic curve indicated that the combined AUC of neutrophil 24 hours after CAG, diuretics and calcium channel blockers in predicting CIAKI was 0.791. NE ( AUC=0.701), MPO ( AUC=0.712), H3Cit ( AUC=0.777), LL-37 ( AUC=0.767) and IL-33 ( AUC=0.795) at 2 hours after CAG predicted CIAKI relatively well. NE ( AUC=0.865), MPO ( AUC=0.758), H3Cit ( AUC=0.834), LL-37 ( AUC=0.840) and IL-33 ( AUC=0.867) at 12 hours after CAG had better prediction effect for CIAKI. The AUC of NETs combined with IL-33 in predicting CIAKI at 2 hours and 12 hours after CAG was 0.874 and 0.956, respectively. Conclusions:CIAKI patients exhibit elevated levels of NETs and IL-33. Serum MPO, NE, H3Cit, LL-37 and IL-33 at 12 hours after CAG can predict the occurrence of CIAKI. The combination of NETs and IL-33 is more effective in predicting CIAKI.

Objective:To explore the value of neutrophil extracellular traps (NETs) and interleukin (IL)-33 in the early diagnosis of contrast-induced acute kidney injury (CIAKI).Methods:It was a prospective cohort study. The clinical data of patients who underwent coronary angiography (CAG) in Sir Run Run Hospital, Nanjing Medical University from December 2022 to December 2023 were collected. The main indicators of NETs included myeloperoxidase (MPO), neutrophil elastase (NE), citrullinated histone H3 (H3Cit) and antimicrobial peptide LL-37 amide (LL-37). Serum samples were collected before CAG, and 2 hours and 12 hours after CAG, and the levels of MPO, NE, H3Cit, LL-37, IL-33 and neutrophil gelatinase-associated lipocalin (NGAL) were detected. The differences of clinical data between CIAKI group and non-CIAKI group were compared. Multivariate logistic regression model was applied to analyze the risk factors of CIAKI. The receiver- operating characteristic curve was used to evaluate the predictive performance of biomarkers. Spearman correlation analysis was used to analyze the correlations among those biomarkers.Results:A total of 280 eligible patients with CAG were included in this study, with age of (65±13) years and 203 males (72.5%). The incidence rate of CIAKI was 11.8% (33/280). Compared with non-CIAKI group, the proportions of diabetes ( χ2=5.302, P=0.021), preoperative positive urine protein ( χ2=6.871, P=0.009), taking beta-blockers ( χ2=4.580, P=0.032), diuretics ( χ2=21.987, P<0.001) and calcium channel blocker ( χ2=10.424, P=0.001), preoperative blood glucose ( Z=2.807, P=0.005), preoperative blood urea nitrogen ( Z=2.504, P=0.012), neutrophil at 24 hours after CAG ( Z=2.173, P=0.030), serum creatinine at 24 hours after CAG ( Z=4.000, P<0.001), and blood urea nitrogen at 24 hours after CAG ( Z=4.459, P<0.001) were higher, while the preoperative hemoglobin ( Z=-2.380, P=0.017) and serum albumin ( Z=-2.556, P=0.011) were lower in CIAKI group. Multivariate logistic regression analysis showed that increasing neutrophil at 24 hours after CAG ( OR=1.180，95% CI 1.037-1.341), diuretics ( OR=5.615，95% CI 2.294-13.745) and calcium channel blockers ( OR=3.141，95% CI 1.374-7.182) were independent influencing factors of CIAKI. There were statistically significant differences in the levels of serum NE, MPO, H3Cit, LL-37, NGAL and IL-33 among before CAG, 2 hours after CAG and 12 hours after CAG in the overall population, CIAKI group and non-CIAKI group (all P<0.05). In addition, the changes of IL-33 before CAG and 12 hours after CAG was positively correlated with the changes of MPO, NE, H3Cit, LL-37, NGAL, serum creatinine and blood urea nitrogen before CAG and 12 hours after CAG (all P<0.05). The levels of NE ( Z=3.435, P=0.001; Z=6.164， P<0.001), MPO ( Z=3.627, P<0.001; Z=4.729, P<0.001), H3Cit ( Z=5.174, P<0.001; Z=6.241, P<0.001), LL-37 ( Z=4.986, P<0.001; Z=6.346, P<0.001), NGAL ( Z=2.956, P=0.003; Z=4.263, P<0.001) and IL-33 ( Z=5.056, P<0.001; Z=6.240, P<0.001) in CIAKI group at 2 h and 12 h after CAG were significantly higher than those in non-CIAKI group. The receiver-operating characteristic curve indicated that the combined AUC of neutrophil 24 hours after CAG, diuretics and calcium channel blockers in predicting CIAKI was 0.791. NE ( AUC=0.701), MPO ( AUC=0.712), H3Cit ( AUC=0.777), LL-37 ( AUC=0.767) and IL-33 ( AUC=0.795) at 2 hours after CAG predicted CIAKI relatively well. NE ( AUC=0.865), MPO ( AUC=0.758), H3Cit ( AUC=0.834), LL-37 ( AUC=0.840) and IL-33 ( AUC=0.867) at 12 hours after CAG had better prediction effect for CIAKI. The AUC of NETs combined with IL-33 in predicting CIAKI at 2 hours and 12 hours after CAG was 0.874 and 0.956, respectively. Conclusions:CIAKI patients exhibit elevated levels of NETs and IL-33. Serum MPO, NE, H3Cit, LL-37 and IL-33 at 12 hours after CAG can predict the occurrence of CIAKI. The combination of NETs and IL-33 is more effective in predicting CIAKI.

Since 2007 the state and the Ningxia Hui Autonomous Regional Government gave strongly support to Hui medicine and medical hospital, Ningxia Hui medical hospital has attained great development. But some problems must be pay attention to, such as lacking of special person and the poor knowledge of Hui medical hospital. So how to promote the sustainable development of Hui medical hospital was becoming a vital problem. Based on the previous studies and researches, this paper summarized the following five aspects:strategic positioning, product development, medical services, policy environment, cultural propaganda of Hui medical hospital, trying to build a "Five in One" characteristic development pattern of Ningxia Hui medical hospital and laying a solid foundation for the development of Hui medicine and Hui medical hospitals.

BACKGROUNDTo investigate the methylation and deletion of p16 gene and its diagnostic value in non-small cell lung cancer.

METHODSA total of 50 lung cancer tissues and 54 normal lung tissues were examined for p16 gene methylation in exon 1 and deletion in exon 2 by PCR based methylation analysis and duplex PCR respectively.

RESULTSOut of 50 lung cancer tissues, 16 were positive for the p16 gene exon 1 methylation (32.0%), and 14 for the p16 gene exon 2 deletion (28.0%). However, in 54 cases of normal lung tissues, only 2 showed the p16 gene exon 1 methylation(3.7%), and none showed the p16 gene exon 2 deletion. There were significant differences in methylation rate (Fisher's exact= 0.000 ) and deletion rate (Fisher's exact= 0.000) between the two groups.

CONCLUSIONSThe methylation and deletion may be important mechanisms for p16 gene inactivation in non-small cell lung cancer. The detection of p16 gene status may contribute to the diagnosis of lung cancer.