1.In Vitro and in vivo Component Identification of Danshenyin Based on UPLC-Q-TOF-MS/MS
Sitong ZHANG ; Xianrun HU ; Wenkang LIU ; Jinchun LEI ; Xuemei CHENG ; Xiaojun WU ; Wansheng CHEN ; Manlin LI ; Changhong WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):175-183
ObjectiveTo elucidate the chemical composition of Danshenyin and its blood components in rats after oral administration. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS) coupled with PeakView 1.2 software was used to systematically characterize and identify the components of Danshenyin aqueous extract and its migratory components in rat blood after oral administration based on the retention time, quasi-molecular ion peaks, secondary fragmentation ions, and literature reports, and a preliminary compounds identification of Salviae Miltiorrhizae Radix et Rhizoma aqueous extract, the co-decoction of Santali Albi Lignum and Amomi Fructus was carried out to attribute the chemical constituents of the aqueous extract of Danshenyin. ResultsA total of 73 compounds, including 21 phenolic acids, 23 diterpenes, 6 flavonoids, 7 organic acids, 3 volatile oils and 13 others, were identified from the aqueous extract of Danshenyin. And 36 prototypes and 15 metabolites were identified in rat plasma, the major metabolic pathways included reduction, hydration, hydroxylation, demethylation, methylation, sulfation and others, these metabolites were mainly derived from tanshinones and salvianolic acids. ConclusionThe main blood components of the aqueous extract of Danshenyin are salvianolic acids and tanshinones, which may be the material basis of the efficacy. This study can provide reference for pharmacological research, quality control, and clinical application of Danshenyin.
2.Characteristic Expression of Multiple Neurotransmitters Oscillation Imbabance in Brains of 1 028 Patients with Depression
Anqi WANG ; Xuemei QING ; Yanshu PAN ; Pingfa ZHANG ; Ying ZHANG ; Jian LI ; Cheng ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):278-286
ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine (5-HT), dopamine (DA), acetylcholine (ACh), norepinephrine (NE), inhibitory neurotransmitter (INH), and excitatory neurotransmitter (EXC) in the whole brain and different brain regions of depression patients by Search of Encephalo Telex (SET), providing new ideas for the study of heterogeneous etiology of depression. Methods(1) A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions: left frontal region (F3), right frontal region (F4), left central region (C3), right central region (C4), left parietal region (P3), right parietal region (P4), left occipital region (O1), right occipital region (O2), left anterior temporal region (F7), right anterior temporal region (F8), left posterior temporal region (T5), and right posterior temporal region (T6). The expression information of each neurotransmitter was compared with the normal model, and it was found that single neurotransmitter was in one of three states: increased, decreased, or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. (2) A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. (3) Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results(1) The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states (increased/decreased/normal), being normal in the majority. The decreased and increased expression of 5-HT, ACh, DA, INH, EXC, and NE in the whole brain occurred in 6% and 25%, 31% and 17%, 36% and 9%, 15% and 31%, 32% and 14%, and 22% and 22%, respectively. (2) The antagonizing pairs of neurotransmitters (EXC/INH, DA/5-HT, and ACh/NE) showed significant antagonistic relationships in the whole brain and different brain regions, with a strong negative correlation between EXC and INH (P<0.01, |r| values ranging from 0.69 to 0.76), a strong negative correlation between DA and 5-HT (P<0.01, |r| values ranging from 0.83 to 0.90), and a moderate negative correlation between ACh and NE (P<0.01, with |r| values ranging from 0.56 to 0.66). Meanwhile, non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations, with DA/NE (P<0.01, |r| values ranging from 0.38 to 0.46) and NE/EXC (P<0.01, |r| values ranging from 0.56 to 0.61) showing weak and moderate negative correlations, respectively, and DA/EXC showing a weak positive correlation (P<0.01, |r| values ranging from 0.38 to 0.47). (3) The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper, with a cumulative rate of 60.60%, including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- (9.05%), ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- (4.57%), and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- (3.31%). That is, the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%, and the patients with at least one neurotransmitter abnormality accounted for 91.95%. (4) The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues (F) ranging from 1.03 to 13.43, with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① AChP3↓/AChW↓/AChC3↓/AChF3↓/AChO1↓/AChT5↓/AChF7↓/NEP3↑/NEW↑/NEC3↑/NEF3↑/NEO1↑/NET5↑/NEF7↑ (F=13.43, whole brain), ② 5-HTO2↑/DAO2↓/5-HTP4↑/DAP4↓/5-HTW↑/DAW↓/5-HTC4↑/DAC4↓ (F=5.94), and ③ EXCF4↓/DAF4↓/NEF4↑/INHF4↑/5-HTF4↑/AChF4↓ (F=5.33). ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary, this study provides new guidance for the etiology, diagnosis, and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.
3.Characteristic Expression of Multiple Neurotransmitters Oscillation Imbabance in Brains of 1 028 Patients with Depression
Anqi WANG ; Xuemei QING ; Yanshu PAN ; Pingfa ZHANG ; Ying ZHANG ; Jian LI ; Cheng ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):278-286
ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine (5-HT), dopamine (DA), acetylcholine (ACh), norepinephrine (NE), inhibitory neurotransmitter (INH), and excitatory neurotransmitter (EXC) in the whole brain and different brain regions of depression patients by Search of Encephalo Telex (SET), providing new ideas for the study of heterogeneous etiology of depression. Methods(1) A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions: left frontal region (F3), right frontal region (F4), left central region (C3), right central region (C4), left parietal region (P3), right parietal region (P4), left occipital region (O1), right occipital region (O2), left anterior temporal region (F7), right anterior temporal region (F8), left posterior temporal region (T5), and right posterior temporal region (T6). The expression information of each neurotransmitter was compared with the normal model, and it was found that single neurotransmitter was in one of three states: increased, decreased, or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. (2) A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. (3) Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results(1) The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states (increased/decreased/normal), being normal in the majority. The decreased and increased expression of 5-HT, ACh, DA, INH, EXC, and NE in the whole brain occurred in 6% and 25%, 31% and 17%, 36% and 9%, 15% and 31%, 32% and 14%, and 22% and 22%, respectively. (2) The antagonizing pairs of neurotransmitters (EXC/INH, DA/5-HT, and ACh/NE) showed significant antagonistic relationships in the whole brain and different brain regions, with a strong negative correlation between EXC and INH (P<0.01, |r| values ranging from 0.69 to 0.76), a strong negative correlation between DA and 5-HT (P<0.01, |r| values ranging from 0.83 to 0.90), and a moderate negative correlation between ACh and NE (P<0.01, with |r| values ranging from 0.56 to 0.66). Meanwhile, non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations, with DA/NE (P<0.01, |r| values ranging from 0.38 to 0.46) and NE/EXC (P<0.01, |r| values ranging from 0.56 to 0.61) showing weak and moderate negative correlations, respectively, and DA/EXC showing a weak positive correlation (P<0.01, |r| values ranging from 0.38 to 0.47). (3) The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper, with a cumulative rate of 60.60%, including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- (9.05%), ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- (4.57%), and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- (3.31%). That is, the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%, and the patients with at least one neurotransmitter abnormality accounted for 91.95%. (4) The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues (F) ranging from 1.03 to 13.43, with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① AChP3↓/AChW↓/AChC3↓/AChF3↓/AChO1↓/AChT5↓/AChF7↓/NEP3↑/NEW↑/NEC3↑/NEF3↑/NEO1↑/NET5↑/NEF7↑ (F=13.43, whole brain), ② 5-HTO2↑/DAO2↓/5-HTP4↑/DAP4↓/5-HTW↑/DAW↓/5-HTC4↑/DAC4↓ (F=5.94), and ③ EXCF4↓/DAF4↓/NEF4↑/INHF4↑/5-HTF4↑/AChF4↓ (F=5.33). ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary, this study provides new guidance for the etiology, diagnosis, and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.
4.Effect of USP9X on Akt phosphorylation and platelet function
Xuemei JIA ; Shujun SHAO ; Lujie ZHOU ; Danxin DU ; Huangying LU ; Cheng CHEN ; Rong XIA
Chinese Journal of Blood Transfusion 2024;37(4):377-384
【Objective】 To explore the expression of USP9X in platelets and its effect on platelet function. 【Methods】 The expression of USP9X in human and mouse was evaluated by PCR and Western blot. Platelets from young and old mice were separated and prepared, and the expression of USP9X was detected. USP9X inhibitos were used to assess the regulation of USP9X in platelet function, including aggregation, ATP release and spreading. Platelet lysates were collected in different time points to evaluate the change of phosphorylation of Akt in USP9X inhibitors treated platelets. 【Results】 Both human and mouse platelets expressed USP9X. Compared to the young mice, the old mice showed significantly enhanced expression of USP9X(P<0.05). To assess the effect of USP9X on platelet function, USP9X inhibitor was used to pre-incubate platelets for 30 min and platelet function were examined later. Results showed that USP9X inhibitor significantly decreased platelet activation including aggregation, ATP release and spreading(P<0.05). Compared to the control group, the inhibitor treated group showed a significant decrease in the spreading area after 45 minutes. The Western blot results showed a significant decrease in Akt phosphorylation levels of platelets in the USP9X inhibitor treated group. 【Conclusion】 Both human and mouse platelet express USP9X, and inhibition of USP9X decreased platelet function including aggregation, ATP release and spreading. USP9X can also influence the phosphorylation of Akt. The inhibitor of USP9X may become a potential therapeutic target for thrombosis intervention.
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.Serum myostatin and follistatin as biomarkers of sarcopenia in elderly women
Yanping DU ; Ye YANG ; Wenjing TANG ; Minmin CHEN ; Huilin LI ; Weijia YU ; Xiaoqing WU ; Liu SHEN ; Xuemei ZHANG ; Yuxiang ZHENG ; Jianfei GU ; Qun CHENG
Chinese Journal of Endocrinology and Metabolism 2024;40(6):500-504
Objective:This study aimed to explore the clinical value of myostatin(MST) and follistatin(FST) as biological biomarkers in evaluating sarcopenia in elderly women.Methods:This was a retrospective cross-sectional study that enrolled 350 females aged 20-89 years who underwent physical examinations in Shanghai Huadong Hospital in 2021. Demographic characteristics, muscle mass, fat mass, bone mineral density, hand grip strength, gait speed, and serum indices of MST and FST were collected.Results:The serum levels of MST did not change significantly with age. However, the serum levels of FST increased with age. In women aged≥60 years, MST was positively correlated with total lean mass and appendicular skeletal muscle index(ASMI; r=0.236, P=0.041; r=0.289, P=0.014), while FST was negatively correlated with ASMI( r=-0.265, P=0.030). In multivariate stepwise regression analysis, after adjusting for age, body mass index, hip bone mineral density, and total fat mass, only FST was independently correlated with ASMI( β=-0.238, P=0.006), while MST was not correlated with ASMI. The receiver operating characteristic curve was plotted using muscle mass reduction as the state variable and serum FST level as the test variable. The area under the curve was 0.753. And when the FST cutoff value was 17.49 ng/mL, the maximum Jordan index was 0.46, with a sensitivity of 77.3% and a specificity of 68.7%. Women aged ≥60 years were divided into three groups based on serum FST levels. Compared to the upper third of the serum FST level group, the low third of the FST level group had a significantly reduced risk of suffering from sarcopenia( OR=0.098, P =0.036). Conclusions:Serum FST lever has a better correlation with muscle mass among elderly women, making it a promising biomarker for evaluating muscle mass.
7.Correlation Between Ceftazidime-avibactam Blood Concentration and Efficacy in Critically Ill Patients and Influential Factors
Shurun AN ; Li LIAO ; Huanyan PAN ; Xiaoxuan YANG ; Wei ZHANG ; Xiaoliang CHENG ; Weihong GE ; Xuemei LUO ; Yujie ZHOU
Herald of Medicine 2024;43(8):1291-1295
Objective To evaluate the relationship between ceftazidime-avibactam(CAZ-AVI)blood concentrations and efficacy in critically ill patients and to investigate the factors influencing blood levels.Methods The CAZ-AVI trough concentrations(Cmin)were detected in 29 patients who received CAZ-AVI treatment for at least 48 hours.The clinical materials of the patients were collected together for retrospective analysis.Results The Cmin of ceftazidime(CAZ)and avibactam(AVI)were(50.95±5.17)and(7.52±0.96)mg·L-1 in the effective group and(31.16±7.03)and(5.37±1.32)mg·L-1 in the ineffective group,respectively.The Cmin of CAZ in the effective group was significantly higher than in the ineffective group(P<0.05),and there was no significant difference in AVI Cmin between the two groups(P>0.05).Spearman's correlation analysis showed that CAZ Cmin was positively correlated with clinical efficacy(P<0.05),and no correlation between AVI Cmin and clinical efficacy(P>0.05).The optimal CAZ Cmin threshold was 24.59 mg·L-1.Multiple linear regression analysis showed that age and creatinine clearance was significantly correlated with the Cmin of CAZ,and creatinine clearance was significantly correlated with AVI Cmin(P<0.05).Conclusions The Cmin of CAZ correlates with efficacy,and it may be more beneficial for clinical treatment to keep the concentration of CAZ-AVI always greater than the minimum inhibitory concentration during the dosing interval.The creatinine clearance should be fully considered when optimizing CAZ-AVI dosage in critically ill patients.
8.Research Progress of Renal Transporters in Polymyxin-induced Nephrotoxicity
Simin ZHOU ; Xuemei LUO ; Shuo CHENG ; Weihong GE
Herald of Medicine 2024;43(9):1451-1456
Polymyxins are the first-line drugs used in multidrug resistance(MDR)Gram-negative infections.Polymyxin-induced nephrotoxicity is the major dose-limiting factor hindering its clinical use.It has been suggested that the mechanism of polymyxin-associated nephrotoxicity is related to its accumulation in the kidney upon extensive reabsorption from renal proximal tubular cells,and one or more renal transporters may mediate the process that polymyxins enter the renal tubular cells across cytomembrane.This review aimed to describe the roles of renal transporters in polymyxins reabsorption into the renal tubular cells and provide reference for reducing the nephrotoxicity of polymyxin.
9.Application of magnetic resonance sacral neurography combined with 3D printing in sacral nerve modulation in neurogenic bladder patients with special comorbidities
Changsheng ZHAN ; Yinfeng QIAN ; Wei CHEN ; Xuemei ZHAO ; Xiaoqin LIU ; Cheng ZHANG ; Yifei ZHANG ; Chaozhao LIANG
Chinese Journal of Urology 2023;44(10):781-782
This paper discusses the application of MRN combined with 3D printing in SNM in neurogenic bladder patients with special comorbidities. In this study, 21 cases of neurogenic bladder patients with special comorbidities involved, including 14 cases into the control group and 7 cases in the experimental group. Traditional X-ray guidance was used in the control group, while the MRN combined with 3D printing navigation template positioning was used in the experimental group. Compared with those in the control group, the X-ray fluoroscopy, number of punctures, puncture time, intraoperative adjustment and testing time were significantly decreased in the experimental group. The difference of implantable pulse generator implantation rates between the two groups was statistically significant.
10.Knowledge level of cardio-oncology in oncologist and cardiologist: a survey in China.
Binliang LIU ; Yanfeng WANG ; Tao AN ; Leilei CHENG ; Ying LIU ; Jianghua OU ; Hong LI ; Xuemei ZHAO ; Yunlong XIA ; Yuhui ZHANG ; Fei MA
Chinese Medical Journal 2023;136(1):114-116

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