1.Emergency medical response strategy for the 2025 Dingri, Tibet Earthquake
Chenggong HU ; Xiaoyang DONG ; Hai HU ; Hui YAN ; Yaowen JIANG ; Qian HE ; Chang ZOU ; Si ZHANG ; Wei DONG ; Yan LIU ; Huanhuan ZHONG ; Ji DE ; Duoji MIMA ; Jin YANG ; Qiongda DAWA ; Lü ; JI ; La ZHA ; Qiongda JIBA ; Lunxu LIU ; Lei CHEN ; Dong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(04):421-426
This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.
2.Spatial metabolomics combined with machine learning in colon cancer diagnosis research.
Ling WENG ; Huanhuan WANG ; Chunxiang ZHAI ; Qi WANG ; Yanyan GUO ; Ziyi ZHONG ; Chenying MA ; Jing WANG
Journal of Pharmaceutical Analysis 2025;15(8):101367-101367
Image 1.
3.Study on Chemical Identification of Bupleurum Chinense and Counterfeits Based on Characteristic Chromatogram and UP-LC-Q-TOF/MS Technology
Yanyan GUO ; Huanhuan WANG ; Ziyi ZHONG ; Xinlian LIU ; Li SUN ; Jing WANG
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(1):66-77
OBJECTIVE To identify Bupleurum chinense pieces and its counterfeits based on the characteristic chromatogram and UPLC-Q-TOF/MS technology.METHODS Thin layer chromatography was used to identify Bupleurum chinense and its counterfeits collected from different origins and different producing areas.Then,the chemical constituents of Bupleurum chinense and its counter-feits were compared according to the established HPLC characteristic chromatogram,and the representative differential markers of Bup-leurum chinense counterfeits were further identified by UPLC-Q-TOF/MS technology.RESULTS Thin layer chromatography showed that different original Bupleurum chinense pieces had saikosaponin A and saikosaponin D,which could be distinguished according to the intensity and position of fluorescent spots.There were 14 and 16 common peaks in the specific chromatogram of Bupleurum chinense and its vinegar-processed products respectively,and 6 components were identified.The chemical components of Bupleurum chinense pieces from different producing areas were similar,and the established method could better reflect the characteristics of Bupleurum chinense.Further comparison of the specific chromatogram of Bupleurum chinense and its counterfeits showed that the composition of B.marginatum Wall.was close to that of the authentic Bupleurum chinense.,B.bicaule Helm and B.longiradiatum Turcz.had their own characteristic peaks with high response values.The content of saponins in B.marginatum var.stenophyllum was significantly high-er.A total of 69 Bupleurum compounds were identified by UPLC-Q-TOF/MS mainly triterpenoid saponins,followed by flavonoids,a few chromones,phenylpropanoids and alkynes.The results of cluster analysis showed that the interspecific differences of Bupleurum chinense were obvious,and different Bupleurum counterfeits had representative differential markers.CONCLUSION The established characteristic chromatogram and UPLC-Q-TOF/MS method can be used for the chemical identification of Bupleurum chinense and its counterfeits,which provide a basis for the comprehensive and rational development and utilization of Bupleurum resources.
4.Study on Chemical Identification of Bupleurum Chinense and Counterfeits Based on Characteristic Chromatogram and UP-LC-Q-TOF/MS Technology
Yanyan GUO ; Huanhuan WANG ; Ziyi ZHONG ; Xinlian LIU ; Li SUN ; Jing WANG
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(1):66-77
OBJECTIVE To identify Bupleurum chinense pieces and its counterfeits based on the characteristic chromatogram and UPLC-Q-TOF/MS technology.METHODS Thin layer chromatography was used to identify Bupleurum chinense and its counterfeits collected from different origins and different producing areas.Then,the chemical constituents of Bupleurum chinense and its counter-feits were compared according to the established HPLC characteristic chromatogram,and the representative differential markers of Bup-leurum chinense counterfeits were further identified by UPLC-Q-TOF/MS technology.RESULTS Thin layer chromatography showed that different original Bupleurum chinense pieces had saikosaponin A and saikosaponin D,which could be distinguished according to the intensity and position of fluorescent spots.There were 14 and 16 common peaks in the specific chromatogram of Bupleurum chinense and its vinegar-processed products respectively,and 6 components were identified.The chemical components of Bupleurum chinense pieces from different producing areas were similar,and the established method could better reflect the characteristics of Bupleurum chinense.Further comparison of the specific chromatogram of Bupleurum chinense and its counterfeits showed that the composition of B.marginatum Wall.was close to that of the authentic Bupleurum chinense.,B.bicaule Helm and B.longiradiatum Turcz.had their own characteristic peaks with high response values.The content of saponins in B.marginatum var.stenophyllum was significantly high-er.A total of 69 Bupleurum compounds were identified by UPLC-Q-TOF/MS mainly triterpenoid saponins,followed by flavonoids,a few chromones,phenylpropanoids and alkynes.The results of cluster analysis showed that the interspecific differences of Bupleurum chinense were obvious,and different Bupleurum counterfeits had representative differential markers.CONCLUSION The established characteristic chromatogram and UPLC-Q-TOF/MS method can be used for the chemical identification of Bupleurum chinense and its counterfeits,which provide a basis for the comprehensive and rational development and utilization of Bupleurum resources.
5.Economic evaluation of Danhong injection for the treatment of chronic stable angina in China: A cost-effectiveness analysis
Pengli SU ; Kai ZHI ; Jing XIAO ; Huanhuan XU ; Jun LIU ; Zhong WANG ; Yanan YU ; Haixia DANG
Science of Traditional Chinese Medicine 2024;2(4):284-290
Objective: Danhong injection (DHI) is commonly used in China to treat chronic stable angina (CSA), demonstrating significant clinical efficacy and safety. The present study aimed to estimate the cost-effectiveness of DHI combined with standard treatment (ST) compared with ST alone in patients with CSA. Methods: A Markov model with a 3-month cycle and a 1-year time horizon was used to assess the cost-effectiveness of DHI + ST for CSA. Health outcomes were measured as quality-adjusted life years (QALYs), and societal perspective costs were collected in China. Cost-effectiveness was evaluated using the incremental cost-effectiveness ratio (ICER). Sensitivity analysis was performed to test the robustness of results to parameter uncertainty. Results: Analysis demonstrated DHI + ST provided 0.8190 QALYs at an average cost of $3644.24, while ST yielded 0.7884 QALYs costing $2739.54 over 1 year. The incremental analysis indicated DHI + ST dominance, with an ICER of $29,588.91 per QALY gained compared with ST. One-way sensitivity analysis confirmed the robustness of base case findings, and probabilistic sensitivity analysis suggested a 61.66% probability of DHI + ST being cost-effective over ST at a $37,663.26 per QALY threshold. Conclusion: From a societal perspective in China, DHI + ST appears cost-effective for the treatment of CSA compared with ST alone. These findings support recommending DHI as a clinically valuable and cost-effective option in CSA treatment guidelines.
6.Computer-aided Drug Design: Mining Neuroblastoma Targets in Children Aurora A Kinase Inhibitors from a Natural Product Library of Traditional Chinese Medicine
LIU Tianyi ; HU Qingyang ; DONG Xue ; XIN Bin ; WANG Huanhuan ; LI Zhong
Chinese Journal of Modern Applied Pharmacy 2023;40(22):3104-3116
Abstract
OBJECTIVE Neuroblastoma(NB) is a prevailing pediatric extracranial solid tumor that accounts for 10%-15% of all childhood cancer-related fatalities. Despite significant strides made in NB therapy through multimodal approaches, the survival rate of high-risk NB patients remains at approximately 50%. Consequently, there is an urgent need to identify novel molecular targets for NB treatment. Recent studies have shown that MYCN oncogene amplification is present in about 25% of NB cases and is a crucial determinant of poor prognosis for high-risk NB patients. Since MYC family proteins, including MYCN, are inherently disordered proteins, MYCN lacks a defined ligand binding site along with a large protein-protein interaction surface. Current treatment approaches for MYCN-amplified NB patients do not include direct targeting of MYCN itself, since the absence of a “drugable” pocket renders it challenging. Notably, no direct MYC-targeting drugs are currently available. There is an existing association between Aurora A kinase(AURKA) and MYCN, whereby they form a complex to fortify MYCN stability. However, MYCN is inherently unstable, with a half-life of only 30 min, but AURKA intervenes by facilitating its stability through a direct protein-protein interaction, hence protecting it from proteasomal degradation. This interaction potentially augments tumor cell proliferation and invasiveness. Notably, AURKA has been verified as a transcriptional target of MYCN. The present study endeavors to employ computer-aided drug design technology to probe AURKA inhibitors discerned from a natural product library of traditional Chinese medicine(TCM), thereby identifying a novel drug for treating NB. METHODS Collected from the YaTCM database, a total of 47 696 natural compounds from TCM were subjected to preprocessing including protonation, deionization, hydrogenation, stereoisomerism, conformation generation, and energy minimization. Of these, 58 048 compounds were initially screened as potential ligands for the library. Utilizing “Lipinski Ro5” and “Verber Ro3” guidelines, 22 227 hit compounds were selected from the library that met the screening criteria. Initially, crystal structures of AURKA and its inhibitor AA35 were downloaded from the RCSB PDB database. The spatial coordinates of AA35 were set as the center of the binding pocket for AURKA, and a 10 Å * 10 Å * 10 Å space around the pocket was designated as the active space. A comprehensive drug screening platform integrating lead-likeness filtering, pharmacokinetic prediction, molecular docking, flexible docking, and molecular dynamics(MD) simulations were established to excavate potential aurora kinase A inhibitors from the TCM compound library, which were further validated by MD simulations. RESULTS A grand total of 6 220 Chinese herbal remedies had been meticulously curated within the YaTCM database. Out of these, an impressive 47 696 Chinese herbal monomers had undergone a rigorous series of flexible docking tests, resulting in the selection of the top ten molecules with the most favorable docking scores. The aforementioned molecules underwent AMDE parameter and toxicity predictions. It was discovered that with the exception of a few compounds such as Tryptophane, 3'-Methoxydaidzein, and Burttinol D(which might elicit liver toxicity), 3'-Methoxydaidzein and Pratensein(which might elicit kidney toxicity), and 3-Deoxysappanone B(which had moderate oral toxicity), as well as Tryptophane(with an oral bioavailability of less than 50%), five compounds including Compound X, (+)-Sesamin dicatechol, Tuberosin, Abrine, and Maackiain, displayed favorable pharmacokinetic parameters and low toxicity predictions. Moreover, all of these compounds exhibited a high binding affinity with the inhibitor active pocket of AURKA. In this study, Compound X, despite its cumbersome name, was referred to as “Compound X”. Upon focusing on Compound X as the subject of investigation, it was discovered that its phenolic framework could readily interact with the hydrophobic cavity constituted of hydrophobic amino acids, namely TYR199, VAL182, LEU178, LEU208, and VAL206. Notably, Compound X could partake in Pi-Pi interactions with TYR199 and create hydrogen bonds with HIS201, GLU175, and LYS166. Computational studies via MD simulations confirmed that Compound X could form a stable receptor-ligand complex with the receptor. Impressively, the inclusion of Compound X significantly reduced the stability of the AURKA-MYCN complex. CONCLUSION This study concludes that Compound X can be used as an AURKA inhibitor for the treatment of NB, which is a novel finding based on the combination of various virtual screening techniques from the natural product database of TCM.
7.Analysis of β-blockers associated with acute renal failure signal based on data mining method
Hongli WANG ; Ni ZHANG ; Guizun ZHONG ; Siqi CHEN ; Huanhuan JI ; Li GONG ; Lingyun PAN ; Yuntao JIA
China Pharmacy 2022;33(11):1380-1385
OBJECTIVE To excavate and evaluate β-blockers associated with acute renal failure(ARF)signal. METHODS Using the report odds ratio (ROR)method and Bayesian confidence interval progressive neural network (BCPNN)method,signal detection and analysis were performed for 4 kinds of β-blockers(metoprolol,bisoprolol,atenolol,nebivolol)associated with ARF Δ 基金项目:重庆市临床药学重点专科建设项目 (No.渝卫办发 in FDA adverse event reporting system (FAERS)from the two 〔2020〕68号);重庆医科大学未来医学青年创新团队发展支持计划项 dimensions of Standard International Dictionary of Medical 目(No.W0081) Terms (MedDRA) analysis query (SMQ) term set and *药师,硕士研究生。研究方向:药物警戒。电话:023-68485161。 preferred term (PT) level terms. When the two methods E-mail:2020121624@stu.cqmu.edu.cn detected positive signals at the same time ,it indicated that # 通信作者:主任药师,硕士生导师。研究方向:临床药学、药物警 suspicious signals were detected. RESULTS Totally 14 328 戒。电话:023-63625666。E-mail:jiayuntaomail@hospital.cqmu.edu.cn ARF reports of 4 kinds of β-blockers were retrieved within the ·1380· China Pharmacy 2022Vol. 33 No. 11 中国药房 2022年第33卷第11期 narrow sense of “acute renal failure ”in SMQ term set ,of which men (6 964)were more than women (6 206). The age of patients was mainly concentrated in the middle-aged and elderly (≥45 years old ),and serious adverse events accounted for 77.23%. The results of signal retrieval based on SMQ term set showed that ROR values and 95% confidence intervals of metoprolol ,bisoprolol, atenolol and nebivolol detected by ROR method were 2.58(2.51,2.65),5.30(5.14,5.47),2.80(2.69,2.91)and 3.28(3.04, 3.53)respectively. The signal components (IC)detected by BCPNN method and the lower limit of IC were 1.29(1.25),2.26 (2.22),1.42(1.36)and 1.64(1.53)respectively,suggesting suspicious signals were detected in these four kinds of β-blockers associated ARF. The results of signal detection based on PT level terms showed that 37 positive signals were detected by ROR method,38 positive signals were detected by BCPNN method ,and 36 suspicious signals were detected by the two methods at the same time. For each drug ,12 suspicious signals of metoprolol were detected at the same time ,9 suspicious signals of bisoprolol and atenolol were detected at the same time ,and 6 suspicious signals of nebivolol were detected at the same time ;the number and type of signals were different among the 4 kinds of drug. CONCLUSIONS Four kinds of β-blockers may cause ARF. Compared with metoprolol and atenolol ,bisoprolol and nebivolol have strong statistical correlation with ARF ,suggesting that medical personnel should pay attention to the possible renal related adverse reactions of these drugs in the process of clinical use.
8.Effects of nurse-led stress inoculation training on fear of self-injecting and self-testing in elderly type 2 diabetic patients
Wei JIN ; Huanhuan LIU ; Yilan FU ; Qiulian LI ; Guoli ZHONG ; Changli LIANG
Chinese Journal of Practical Nursing 2022;38(7):513-518
Objective:To investigate the effect of nurse-led stress inoculation training on fear of self-injecting and self-testing and self-management behaviors in elderly type 2 diabetic patients and provide reference for diabetes nursing care.Methods:A total of 110 elderly type 2 diabetic patients of Department of Endocrinology of Hainan People′s Hospital from January 2018 to January 2020 were divided into experimental group and control group according to odd and even numbers, with 55 patients in each group. The control group received routine nursing care, while the experimental group implemented nurse-led stress inoculation training for 4 weeks. The intervention effect was assessed by Diabetes Fear of Injecting and Self-testing Ouestionnaire (D-FISQ) and Diabetes self-management behaviors among older (DSMB-O), respectively.Results:In the study, one patient in the experimental group fell off, and finally included 54 cases in the experimental group and 55 cases in the control group. After intervention, the fear of self-injecting scores, fear of self-testing scores, and total D-FISQ scores were 13.15 ± 3.02, 15.67 ± 3.59 and 28.81 ± 5.08 in the experimental group, significantly lower than those in the control group (15.25 ± 3.18, 17.56 ± 3.92 and 32.82 ± 4.89), the difference was statistically significant ( t=3.55, 2.63, 4.19, P<0.05). Active exercises, current medication, blood glucose monitoring, dealing with problem, active response, reducing risks scores and total DSMB-O scores were 2.39 ± 0.49, 2.39 ± 0.49, 2.20 ± 0.81, 4.41 ± 0.92, 4.70 ± 1.13, 5.06 ± 0.79 and 25.28 ± 2.57 in the experimental group, significantly higher than those in the control group (3.95 ± 0.85, 2.11 ± 0.85, 1.51 ± 0.50, 3.95 ± 0.78, 4.13 ± 1.43, 4.38 ± 1.16 and 22.09 ± 2.24), the difference was statistically significant ( t values were 2.10-6.90, P<0.05). Conclusions:Nurse-led stress inoculation training can effectively alleviate fear of self-injecting and self-testing and promote self-management behaviors of elderly patients with type 2 diabetes.
9.Risk factors for perioperative atelectasis in pediatric patients undergoing day surgery
Weiwei CAI ; Wei GU ; Huanhuan NI ; Shan ZHONG
Chinese Journal of Anesthesiology 2021;41(10):1198-1201
Objective:To identify the risk factors for perioperative atelectasis in pediatric patients undergoing day surgery.Methods:The data of pediatric patients (aged 28 days-7 yr) undergoing elective surgery in our hospital from January 2021 to April 2021 were retrospectively collected.The pediatric patients were divided into atelectasis group and non-atelectasis group according to the results of postoperative ultrasound examination of the lung.The basic conditions and perioperative indicators of the children were recorded, and logistic regression analysis was used to identify the independent risk factors.Results:A total of 122 pediatric patients were enrolled, there were 68 pediatric patients in atelectasis group, and the incidence of atelectasis was 55.7%.Compared with non-atelectasis group, significant changes were found in the amount of sufentanil, rate of laryngeal mask insertion, and rate of intraoperative inhalation of high-concentration oxygen in atelectasis group ( P<0.05). After adjusting variables such as age, upper respiratory tract infection, and overweight, intraoperative inhalation of high-concentration oxygen (FiO 2>60%) ( OR=2.863, 95% confidence interval 1.148-7.137, P=0.024) and consumption of sufentanil >0.2 μg/kg ( OR=1.214, 95% confidence interval 1.069-1.379, P=0.003) were independent risk factors for perioperative atelectasis in pediatric patients undergoing day surgery. Conclusion:Inhalation of high-concentration oxygen (FiO 2>60%) and consumption of sufentanil >0.2 μg/kg during operation are independent risk factors for perioperative atelectasis in pediatric patients undergoing day surgery.
10.Predictive value of visceral fat area for multiple metabolic risk factors in obese patients undergoing bariatric surgery
Guixiang ZHANG ; Xiao DU ; Huanhuan ZHONG ; Shuang ZHAO ; Gang CHEN ; Boqiang PENG ; Zhengzheng LI ; Yi CHEN ; Zhong CHENG
Chinese Journal of Digestive Surgery 2020;19(11):1183-1189
Objective:To investigate the predictive value of visceral fat area (VFA) on multiple metabolic risk factors in obese patients undergoing bariatric surgery.Methods:The retrospective case-control study was conducted. The clinical data of 146 obese patients undergoing bariatric surgery in the West China Hospital of Sichuan University from June 2015 to May 2020 were collected. There were 57 males and 89 females, aged (33±9)years, with a range from 15 to 65 years. All patients underwent multi-slice spiral computed tomography (CT) examination, and the total fat area (TFA), VFA and subcutaneous fat area (SFA) were measured. Observation indicators: (1) CT findings of abdominal fat area and patients with multiple metabolic risk factors; (2) receiver operator characteristic(ROC) curve of different clinical indicators for predicting multiple metabolic risk factors; (3) relationship between different VFA and clinicopathological features in patients; (4) analysis of factors influencing multiple metabolic risk factors in patients. Measurement data with normal distribution were expressed as Mean± SD, and comparison between groups was analyzed by independent sample t test. Measurement data with skewed distribution were expressed as M (range) and comparison between groups was analyzed by nonparametric rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test. The ROC curve was used to analyze the predictive value of different clinical indicators for multiple metabolic risk factors in patients. Logistic regression analysis was used for univariate and multivariate analysis. Results:(1) CT findings of abdominal fat area and patients with multiple metabolic risk factors. CT findings of 146 patients showed that VFA was (212±122)cm 2, SFA was (419±147)cm 2, visceral-to-subcutaneous fat ratio (VSR) was 0.60±0.54. The levels of systolic blood pressure (SBP), diastolic blood pressure, fasting blood glucose (FBG), triglyceride and highdensity lipoprotein cholesterol (HDL-C) were (131±16)mmHg(1 mmHg=0.133 kPa), (86±12)mmHg, (6.4±2.5)mmol / L, 4.43 mmol /L(range, 1.23-9.99 mmol/L), (1.5±1.3)mmol/L, respectively. Among the 146 patients, 85 had impaired FBG or diabetes, 82 had hypertension, 139 had high triglyceride, 91 had low serum HDL-C; 128 had multiple metabolic risk factors. (2) ROC curve analysis of different clinical indicators for predicting multiple metabolic risk factors: the ROC curve showed that VFA had better ability to predict or diagnose multiple metabolic risk factors in patients ( hazard ratio=0.617, 95% confidence interval as 0.470-0.764, P<0.05). The cutoff value of VFA was 163.52 cm 2 by calculating Yoden index in ROC curve. (3) Relationship between different VFA and clinicopathological features in patients: according to the cutoff value of 163.52 cm 2 in ROC curve, 146 patients were divided into high VFA group (≥163.52 cm 2) and the low VFA group (<163.52 cm 2), with 49 cases and 97 cases respectively. Cases with hypertension, level of SBP, cases with impaired FBG or diabetes, cases with multiple metabolic risk factors were 64, (134±17)mmHg, 63, 90 for the high VFA group, versus 18, (127±13)mmHg, 22, 38 for the low VFA group; there were significant differences in above indicators between the two groups ( χ2=11.309, t=6.916, χ2=5.380, 6.988, P<0.05). (4) Analysis of factors influencing multiple metabolic risk factors in patients: results of univariate analysis showed that VFA was a related factor for multiple metabolic risk factors in patients ( hazard ratio=3.722, 95% confidence interval as 1.341-10.328, P<0.05). Results of multivariate analysis showed that the VFA≥163.52 cm 2 was an independent rsik factcor or multiple metabolic risk factors in patients ( hazard ratio=5.182, 95% confidence interval as 1.441-18.641, P<0.05). Conclusions:VFA is positively correlated with hypertension, systolic blood pressure, impaired FBG and diabetes. VFA≥163.52 cm 2 is an independent predictor for multiple metabolic risk factors in obese patients undergoing bariatric surgery.


Result Analysis
Print
Save
E-mail