1.Effect of thymosin α1 on immune cell differentiation in sepsis mice
Zhiqiang ZHU ; Changju ZHU ; Hui PEI ; Jiafeng XIE ; Yepeng ZHANG
Chinese Journal of Emergency Medicine 2020;29(2):204-209
Objective:To investigate the effect of thymosin α1 on the differentiation of T lymphocyte and the secretion of inflammatory factors in septic mice, thus to explore the effect of thymosin α1 on the prognosis of sepsis.Methods:Adult female C57 mice were randomly (random number) divided into 3 groups: blank control group, sepsis group, and thymosin α1 treatment group. T cell counts and the corresponding inflammatory factors in the further differentiation of T lymphocytes as well as plasma and lung tissues were statistically analyzed, and the survival rate of the mice within 96 h was also analyzed. Graphpad 7.0 software was used for statistically analysis of the study results.Results:There was no significant difference in T cell counts among the three groups of mice, but in the further differentiation of T lymphocytes, the expression of Th17 in the thymosin α1 treatment group was significantly lower than that in the sepsis group, and the expression of Treg was significantly increased in the sepsis group. The expression of the inflammatory cytokine IL-10 was significantly increased in plasma and lung tissues of the thymosin α1 treatment group, while the expression of IL-17A in plasma and lung tissues of the thymosin α1 treatment group was significantly lower ( P <0.05). Survival analysis showed that the survival rate of the thymosin α1 treatment group increased significantly at 96 h, and the difference was significant statistically ( P <0.05). Conclusions:Thymosin α1 can enhance the cellular immunity in sepsis, ameliorate the systemic inflammation, and further protect against sepsis.
2.Effects of macrophage migration inhibitory factor on early acute pancreatitis
Zhiqiang ZHU ; Xiangyu ZHENG ; Luanluan ZHANG ; Yepeng ZHANG ; Yujing MAO ; Changju ZHU
Chinese Critical Care Medicine 2020;32(2):221-225
Objective:To investigate the value of macrophage migration inhibitor factor (MIF) in early severe acute pancreatitis (SAP).Methods:①Animal experiment: according to the random number table method, 24 male Sprague-Dawley (SD) rats were divided into Sham group and SAP 3, 6 and 12 hours groups, with 6 rats in each group. SAP rat model was prepared by injecting 5% sodium taurocholate via the retrograde cholangiopancreatic duct. Liver, kidney, lung, pancreas and serum samples were harvested after 3, 6 and 12 hours. In the Sham group, tissue and serum were harvested immediately after pancreas was turned over. The histopathological changes of the pancreas were observed microscopically by hematoxylin-eosin (HE) staining. The MIF levels of serum, liver, kidney, lung and pancreas were measured by enzyme linked immunosorbent assay (ELISA). ② Clinical study: an observational study was conducted. Seventy-two adult patients within 24 hours of the onset of abdominal pain (blood amylase was 3 times the normal level), and the clinical diagnosis met the criteria of acute pancreatitis (AP) admitted to the emergency department of the First Affiliated Hospital of Zhengzhou University from December 2018 to October 2019 were enrolled. Venous blood was extracted and serum MIF level was determined by ELISA. Acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) was recorded for 24 hours. Patients were divided into SAP group (17 cases), moderate severe acute pancreatitis (MSAP) group (25 cases), and mild acute pancreatitis (MAP) group (30 cases) according to the revised Atlanta criteria for comparison between groups.Results:① The results of animal experiments showed that the serum, liver, and pancreatic MIF levels of rats in the SAP group all reached the peak at 6 hours after modeling, and the differences were statistically significant compared with the Sham group [serum MIF (ng/L): 2 862.79±238.33 vs. 1 728.32±197.59, liver MIF (ng/L): 2 141.39±328.07 vs. 1 372.70±163.41, pancreas MIF (ng/L): 4 468.00±1 324.31 vs. 1 572.06±108.40, all P < 0.01]; although the levels of MIF in serum, liver and pancreas decreased at 12 hours after modeling, they were still significantly higher than Sham group. However, there was no statistically significant difference in MIF levels of lung and kidney in SAP rats compared with Sham group at 3, 6 and 12 hours after molding. ② Clinical observation showed that early serum MIF levels of SAP, MSAP and MAP patients decreased in order, (14.83±2.99), (10.17±2.64), and (7.21±2.47) μg/L, respectively; APACHEⅡ scores also decreased in order, 10.41±3.74, 7.60±3.18 and 4.00±2.41 respectively. Correlation analysis showed that serum MIF levels in patients with SAP, MSAP, and MAP had a good correlation with APACHEⅡ scores of the respective groups, showing that MIF levels was positively correlated with disease severity (SAP: r = 0.51, P = 0.03; MSAP: r = 0.45, P = 0.02; MAP: r = 0.45, P = 0.01). Conclusion:MIF can predict the occurrence of early SAP, and it is related to the severity of early AP.
3.Mid term results of fenestrated branch stent technique for the treatment of thoracoabdominal aortic aneurysms
Guangyuan XIANG ; Shenglin YE ; Xiaolong DU ; Tong YU ; Wendong LI ; Yepeng ZHANG ; Zhao LIU ; Tong QIAO ; Min ZHOU ; Xiaoqiang LI
Chinese Journal of General Surgery 2023;38(7):486-490
Objective:To evaluate the mid-term results of fenestrated/branched endovascular aortic repair (f/b EVAR) for the treatment of thoracoabdominal aortic aneurysms. M ethods The clinical data of 105 thoracoabdominal aortic aneurysm patients treated with f/b EVAR at the Department of Vascular Surgery of Nanjing Drum Tower Hospital from 2018 to 2019 were retrospectively analyzed. Results:There were 43 cases of thoracoabdominal aortic aneurysm and 62 cases of thoracoabdominal aortic aissection.A total of 336 branch arteries were reconstructed,and technical success rate was 94.3%. 100 cases (95.2%) were followed-up, 6 cases (5.7%) received reoperation interventions, and 11 cases (10.5%) died. During the follow-up period, 69 cases had complete imaging data. Based on the recent CT date of the thoracoabdominal aorta, 58 patients hael positive aortic remodeling and 11 patients hael negative and indeterminate remodeling; there were 31 cases (29.5%) of endoleaks, including 7 cases (6.7%) of type Ⅰb endoleaks, 8 cases (7.6%) of type Ⅱ, 1 case (0.95%) of type Ⅲa, 13 cases (12.4%) of type Ⅲc endoleaks and 2 cases (1.9%) of type Ⅳ. Conclusions:The mid-term follow-up results were satisfactory for TAAA treated with f/b EVAR. Internal leakage remains key point for f/b EVAR.
4.Constructing predictive modelling for the risk of serious adverse cardiovascular events in postoperative patients of symptomatic arteriosclerosis obliterans
Ye JI ; Baoyan WANG ; Qinshu WEN ; Dan HAN ; Guangyan WU ; Yepeng ZHANG ; Min ZHOU
Chinese Journal of General Surgery 2024;39(3):197-202
Objective:To construct a predictive model for the risk of major adverse cardiovascular events(MACE) after surgery in patients with symptomatic arteriosclerosis obliterans(ASO) .Methods:From Jan 2018 to Dec 2021, 957 patients with symptomatic ASO admitted to Nanjing Drum Tower Hospital were selected and divided into MACE and non-MACE groups according to whether they had a post-op MACE. A risk prediction model was constructed based on a stepwise regression method with multi-factor COX regression analysis. The model was evaluated using the receiver operating characteristic curve (ROC), the calibration curve to assess the model fit, and the Bootstrap method for internal validation.Results:MACE occurred in 143 patients (14.94%). After COX regression analysis, BMI, creatinine clearance, fibrinogen, rivaroxaban and previous history of surgery were enrolled into model constructing. The ROC curve assessed the model with a C-statistic of 0.690 (95% CI: 0.644-0.736), sensitivity and specificity of 49.2% and 80.7% respectively, a Jorden index of 0.299 and an optimal cut-off value of 0.086. Calibration curves showing agreement between predicted and actual observed values. Internally validated C-statistic of 0.689 (95% CI: 0.672-0.700). The population was divided into high and low risk groups based on the best cut-off value and analysed for survival. The difference between the two groups was statistically different. Conclusion:The risk prediction model for the occurrence of MACE based on clinical parameters is simple and convenient, with good predictability and good discriminatory ability, and can provide reference for the assessment and treatment of MACE in ASO patients.