1.Clinical observation of multi-target therapy in children with lupus nephritis
Xiaoqiu WANG ; Lei YIN ; Youying MAO ; Hua HUANG ; Zhengyu ZHOU ; Wei ZHOU
Chinese Journal of Rheumatology 2014;18(9):607-611
Objective To explore the efficacy of mycophenolate mofetil-based induction or maintenance therapy for children with lupus nephritis combined with Calcineurin inhibitors (cyclosporine A/tacrolimus) for resistant cases.Methods the clinical data were analyzed for 10 patients treated with multi-target therapy (Glucocorticoid + Mycophenolate mofetile+ Cyclosporine A/Tacrolimus) in Department of Nephrology and Rheumatology from January 2005 to December 2011.Calcineurin inhibitor (Cyclosporine A/Tacrolimus) was added when Mycophenolate mofetil-based induction or maintenance protocol was not satisfactory.The data was analyzed by repeated measures data of ANOVA.Results The SLEDAI score (10.9±3.8 vs 7.9±2.6),24 hours urinary protein quantification [(4.0±2.0) vs (2.2±1.8) g] and ESR [(78±10) vs (54±8) mm/l h] were decreased significantly (P<0.01),while serum albumin [(29±8) vs (34±8) g/L] and complement C3 level [(0.41±0.20) vs (0.70±0.30) g/L] were increased significantly (P<0.05).The complete remission rate (CR) was 70% and the response rate was 90% in the first 6 month,and the CR was 90% in the last month.Except 1 case withdrawal,the follow-up period for 9 cases was 24 months.Adverse reactions were rare,1 case had lung in-fection,1 case had hyperglycemia and 1 case had transaminase elevation,which disappeared after mana-gement.Conclusion Mycophenolate mofetil combined with Calcineurin inhibitors (cyclosporine A/tacrolimus) is effective for treating lupus nephritis,the dose of induction or maintenance period is low,and adverse reactions are rare.
2.Effects of dexmedetomidine on activation of mast cells around hematoma and neurological impairment in mouse intracerebral hemorrhage
Chongqing Medicine 2024;53(2):171-175
Objective To explore the effect of dexmedetomidine on the neurological function and mast cells activation in the mouse with intracerebral hemorrhage(ICH).Methods The mouse was intraperitoneal-ly injected with dexmedetomidine at 30 min before intracerebral hemorrhage.After the preparation of intrace-rebral hemorrhage model,the neurological function,brain water content,number of mast cells around hemato-ma and expression levels of tryptase,IL-1β,TNF-α were detected.Results Compared with the control group,the neurological function score in the intracerebral hemorrhage group was significantly elevated(P<0.05),the brain water content was significantly increased(P<0.05),the mast cells number was significantly in-creased(P<0.05),and the tryptase,IL-1β and TNF-α expression levels were sinificantly increased(P<0.05);while the neurological function score in the dexmedetomidine group was significantly decreased(P<0.05),the brain water content was significantly decreased(P<0.05),the number of mast cells was signifi-cantly reduced and the tryptase,IL-1β and TNF-α expression levels were significantly decreased(P<0.05).Conclusion Dexmedetomidine could inhibit the activation of mast cells around hematoma and reduce the dam-age of neurological function after mouse intracerebral hemorrhage.
3.Clinical characteristics and early recognition of thrombotic microangiopathy in children with systemic lupus erythematosus
Lei YIN ; Youying MAO ; Zhengyu ZHOU ; Xiaoyu SHEN ; Hua HUANG ; Fei DING ; Yanliang JIN ; Wei ZHOU
Chinese Pediatric Emergency Medicine 2021;28(10):868-873
Objective:To analyze the clinical characteristics of children diagnosed with systemic lupus erythematosus(SLE)complicated with thrombotic microangiopathy(TMA)for early recognition.Methods:We retrospectively reviewed the clinical records of 14 SLE patients with TMA hospitalized at Shanghai Children′s Medical Center, Shanghai Jiaotong University School of Medicine from December 2005 to October 2020.Results:The incidence of TMA was 5.65%(14/248)of the hospitalized patients with SLE and 7.87%(14/178)of the hospitalized patients with lupus nephritis.Four patients were boys while ten patients were girls.One boy was six years old and other 13 patients were from 11 to 18 years old.Their SLEDAI scores ranged from 14 to 31, and all of them were severe activity.Renal biopsy of 11 patients during TMA course all revealed lupus nephritis(type Ⅳ, n=8; type Ⅳ+ Ⅴ, n=3). These 14 SLE children were diagnosed with TMA within 3 days to 2 months after admission.At the beginning of the hospitalization, only six patients had both anemia and thrombocytopenia, while eight patients only had moderate anemia.All of the patients had obvious hypocomplementemia.Especially in the patients with first onset of SLE without treatment, their serum levels of C3 were less than 0.17 g/L and C4 were less than 0.07 g/L.Moreover, glomerular filtration rates of these patients were lower than that in normal range.The follow-up time were 0.2-11.3 years(median time was 2.6 years). After treatment, six patients obtained complete remission, and five patients obtained partial remission.One patient had sudden death during the 4th plasmapheresis, and the other two patients deteriorated. Conclusion:Children with SLE and TMA are mostly in severe disease activity, and renal pathology is type Ⅳ lupus nephritis.The SLE children with anemia should be paid special attention to the level of serum complement whether they have thrombocytopenia or not.If the level of serum complements decrease obviously, glomerular filtration rates should be monitored closely and schistocytes should be searched repeatedly in the blood smears of the peripheral blood to facilitate the early recognition of TMA.
4.Establishment and validation of a predictive model for the progression of pancreatic cystic lesions based on clinical and CT radiological features
Wenyi DENG ; Feiyang XIE ; Li MAO ; Xiuli LI ; Zhaoyong SUN ; Kai XU ; Liang ZHU ; Zhengyu JIN ; Xiao LI ; Huadan XUE
Chinese Journal of Pancreatology 2024;24(1):23-28
Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.
5.The Effect of Novel Ballistic Helmet Weight on Cervical Spine Injury under Bullet Impacts
Wei WANG ; Zhengyu MAO ; Guibing LI ; Zhihua CAI
Journal of Medical Biomechanics 2019;34(4):E339-E345
Objective To establish a valid human head-neck model and ballistic helmet model, and analyze biomechanical responses of the cervical spine under bullet impacts on ballistic helmet with different weights. Methods A uniformly distributed weight of 2 kg was applied on the helmet (1.24 kg), and bullet impacts from frontal, lateral and crown directions at the speed of 450 m/s were considered to obtain the mechanical response of human vertebrae. Results The stress of the cervical spine was significantly higher than that of the skull under bullet impacts, and the stress of C3 segment was the largest, indicating that the cervical spine was more vulnerable than the head during bullet impacts under the protection of ballistic helmet. When the weight of helmet attachment was not considered, the maximum stress of the cervical spine under lateral impact was 2.58% higher than that under frontal and crown impacts. The frontal impact led to the greatest damage to the head, with an increase of 59.4% in head stress. When the weight of helmet attachment was considered, a lager helmet weight would cause a more serious spine injure. When the helmet weight was increased from 1.24 kg to 3.24 kg, the crown impact led to the greatest damage to the cervical spine, with an increase of 12.98% in cervical stress compared with impacts from other directions. Conclusions Lightweight should be considered in the design of ballistic helmet, and the research findings provide scientific references for the design of ballistic helmet.
6.Tetrahedral DNA nanostructures synergize with MnO2 to enhance antitumor immunity via promoting STING activation and M1 polarization.
Siping LIANG ; Jiaying LI ; Zhengyu ZOU ; Miao MAO ; Siqi MING ; Fan LIN ; Ziyan ZHANG ; Can CAO ; Jinyu ZHOU ; Yuanqing ZHANG ; Jiaping LI ; Minhao WU
Acta Pharmaceutica Sinica B 2022;12(5):2494-2505
Stimulator of interferon genes (STING) is a cytosolic DNA sensor which is regarded as a potential target for antitumor immunotherapy. However, clinical trials of STING agonists display limited anti-tumor effects and dose-dependent side-effects like inflammatory damage and cell toxicity. Here, we showed that tetrahedral DNA nanostructures (TDNs) actively enter macrophages to promote STING activation and M1 polarization in a size-dependent manner, and synergized with Mn2+ to enhance the expressions of IFN-β and iNOS, as well as the co-stimulatory molecules for antigen presentation. Moreover, to reduce the cytotoxicity of Mn2+, we constructed a TDN-MnO2 complex and found that it displayed a much higher efficacy than TDN plus Mn2+ to initiate macrophage activation and anti-tumor response both in vitro and in vivo. Together, our studies explored a novel immune activation effect of TDN in cancer therapy and its synergistic therapeutic outcomes with MnO2. These findings provide new therapeutic opportunities for cancer therapy.
7.Expert Consensus for Image-guided Radiofrequency Ablation of Pulmonary Tumors (2018 Version).
Baodong LIU ; Xin YE ; Weijun FAN ; Xiaoguang LI ; Weijian FENG ; Qiang LU ; Yu MAO ; Zhengyu LIN ; Lu LI ; Yiping ZHUANG ; Xudong NI ; Jialin SHEN ; Yili FU ; Jianjun HAN ; Chenrui LI ; Chen LIU ; Wuwei YANG ; Zhiyong SU ; Zhiyuan WU ; Lei LIU
Chinese Journal of Lung Cancer 2018;21(2):76-88