1.Study on the mechanism of gossypol acetic acid in the treatment of uterine fibroids based on proteomics
Xin ZHANG ; Abulaiti GULISITAN ; Jing SHEN ; Pei ZHANG ; Zuwen MA ; Jun YAO
China Pharmacy 2025;36(3):318-323
OBJECTIVE To investigate the mechanism of gossypol acetic acid (GAA) in the treatment of uterine fibroids. METHODS Human leiomyoma cells SK-UT-1 were selected as objects to investigate the effects of different concentrations (5, 10, 20, 40, 80, 160 μmol/L) of GAA on the activities of cell proliferation. 4D-DIA proteomic detection and bioinformatics analysis were carried out to screen differential proteins. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis were performed. The expressions of top 3 proteins [N-myc downstream regulated gene 1 (NDRG1), epidermal growth factor receptor feedback inhibitor 1 (ERRFI1), CXC chemokine ligand 3 (CXCL3)] with differential fold changes in SK-UT-1 cells were determined. RESULTS 10-160 μmol/L GAA could significantly reduce the survival rate of SK- UT-1 cells (P<0.05). Proteomics results showed that a total of 921 differentially expressed proteins were obtained, including 254 up-regulated proteins and 667 down-regulated proteins. The differentially expressed proteins were mainly distributed in mitochondria, nucleus, extracellular matrix, etc. Bioinformatics results showed that differentially expressed proteins were mainly involved in signaling pathways such as PI3K/AKT (phosphoinositide 3-kinase/protein kinase B), MAPK (mitogen-activated protein kinase), TNF (tumor necrosis factor), etc., which mainly involved cell apoptosis, aging, and movement. GAA significantly decreased protein expressions of NDRG1 and CXCL3 (P<0.05), but increased protein expression of ERRFI1 (P<0.05). CONCLUSIONS The improvement effect of GAA on uterine fibroids may involve signaling pathways such as PI3K/AKT, MAPK, TNF, etc. It can improve the occurrence and development of uterine fibroids by downregulating the expressions of NDRG1 and CXCL3 proteins, upregulating the expression of ERRFI1 protein, and affecting the proliferation and apoptosis of uterine fibroid cells.
2.Construction and application of the "Huaxi Hongyi" large medical model
Rui SHI ; Bing ZHENG ; Xun YAO ; Hao YANG ; Xuchen YANG ; Siyuan ZHANG ; Zhenwu WANG ; Dongfeng LIU ; Jing DONG ; Jiaxi XIE ; Hu MA ; Zhiyang HE ; Cheng JIANG ; Feng QIAO ; Fengming LUO ; Jin HUANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(05):587-593
Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.
3.Analysis of HUANG Feng's Medication Rules for Low Back Pain Based on Data Mining
Wen-Xing ZENG ; Min-Hua HU ; Yuan-Lan FENG ; Jing-Tao ZHANG ; Lu-Yao MA ; Hong-Song YAN ; Feng HUANG
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(4):1030-1035
Objective To analyze the medication rules of Professor HUANG Feng for the treatment of low back pain using data mining methods.Methods The information of prescriptions for the effective cases of outpatients with low back pain treated by Professor HUANG Feng were collected and screened.Microsoft Excel 2019 was used to analyze the frequency of medication and the distribution of properties,flavors and meridian tropism of the drugs in the included prescription.IBM SPSS Modeler 18.0 was used for association rule analysis,and IBM Statistics 26.0 was used for cluster analysis.Results A total of 239 prescriptions and 75 Chinese medicines were included.There were 23 high-frequency Chinese medicines with the medication frequency being or over 20 times,and the top 10 Chinese medicines were Glycyrrhizae Radix et Rhizoma,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma,Zanthoxyli Radix,salt-processed Achyranthis Bidentatae Radix,Rehmanniae Radix,Dipsaci Radix,Coicis Semen,and Salviae Miltiorrhizae Radix et Rhizoma.The medicines were mainly warm in nature,and were sweet,bitter and pungent in flavor.Most of the drugs had the meridian tropism of liver,stomach and spleen meridians.Among the drug combinations obtained from association rule analysis with the top 20 highest support,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma and Zanthoxyli Radix were the core drugs.Cluster analysis yielded 6 clustering combinations.Conclusion For the treatment of low back pain,Professor HUANG Feng follows the principle of"treatment adapting to the climate,individuality,and environment"and"treating the root cause of the disease",usually adopts the drugs for activating blood,moving qi and relieving pain,nourishing the liver and kidney,and also uses the medicines for replenishing qi and strengthening the spleen.The ideas of HUANG Feng for the treatment of low back pain can be used as a reference for the clinical treatment.
4.Research on the current situation and influencing factors of nurses'clinical decision-making ability
Sale ZHANG ; Ying LI ; Lulu NIU ; Jing WANG ; Weiping MA ; Li SU ; Dejie CAO ; Wanxia YAO
Chinese Medical Ethics 2024;37(7):798-806
Objective:To investigate the current situation and influencing factors of clinical nurses'clinical decision-making ability,and provide a reference and evidence for improving and enhancing the correct clinical decision-making ability of clinical nurses.Methods:A total of 300 clinical nurses in Shaanxi Province were selected as the research subjects by using the convenience sampling method.The General Information Questionnaire,Clinical Decision-Making Scale,and Comprehensive Decision-Making Style Scale were used to conduct the investigation and study.The influencing factors of clinical nurses'clinical decision-making ability were analyzed by using single-factor analysis and multivariate linear regression.Results:The total score of clinical nurses'clinical decision-making ability was(163.85±13.78)points,reaching the high-level standard of clinical decision-making ability(146.68-200.00)points.The results of Spearman rank correlation analysis showed that there was a significant positive correlation between the total score and the score of each dimension of clinical decision-making ability and the score of rational decision-making style(P<0.05).The score of the dimension of searching for information or new information was only negatively correlated with the score of intuitive-impulsive decision-making style(P<0.05).Avoidant decision-making style was negatively correlated with the scores of seeking information or new information,clarifying goals and values,the total score of clinical decision-making ability,and the dimensions of finding alternative solutions(P<0.05).The results of multiple linear regression showed that rational decision-making style can positively affect clinical nurses'clinical decision-making ability,while avoidance decision-making style can negatively affect it.Conclusion:The clinical nurses'clinical decision-making ability has been maintained at a relatively constant high level,and it is greatly influenced by rational and avoidant decision-making styles.Medical managers need to organize targeted training activities and other measures to promote the construction of clinical nurses'rational decision-making style and minimize the influence of avoidant decision-making style,thus improving the clinical nurses'clinical decision-making ability.
5.Pharmaceutical care of drug use in a case of severe pneumonia complicated with lung abscess caused by Fusobacterium necrosis
Jing MA ; Chao CUI ; Jiabing XU ; Zhongjing MENG ; Yingqian FU ; Yao XUE ; Lihui CUI
Chinese Journal of Pharmacoepidemiology 2024;33(10):1170-1177
To introduce a strategy for a case of severe pneumonia complicated with lung abscess caused by Fusobacterium necrotum.The pathogen was not identified,but the patient was still coughing up feverish bloody sputum after being treated with meropenem,linezolid and ornidazole.The results of detection of pathogen metagenomes in bronchoalveolar lavage fluid by posterior bronchoscopy suggested that the pathogen was Fusobacterium necrophorum,according to the characteristics of bacteria,the dynamic changes of clinical symptoms,liver and kidney function,body temperature and blood picture infection index,combined with the results of bacterial culture/drug sensitivity test,bronchoalveolar lavage fluid NGS and the pharmacokinetic/pharmacodynamic characteristics of antimicrobial agents,to propose an anti-infective regimen that is strategically adjusted to imipenem cilastatin(1.0 g,ivd,q8h)plus ornidazole(0.5 g,ivd,q12h)for the implementation of pharmaceutical care after adoption by physicians.After 21 days,the patient's severe infection and lung abscess was controlled and patient was discharged.In this case,clinical pharmacists study the bacterial characteristics of Fusobacterium necrotum,review a large number of domestic and foreign literature to track the frontier knowledge of antimicrobial agents,and use their own expertise to provide effective pharmaceutical support for the clinical team,to assist clinical team in the diagnosis and treatment of rare infections,to achieve professional value.
6.Progress of Dual-Energy CT Virtual Noncalcium and mDixon-Quant Techniques in Multiple Myeloma
Jing SHEN ; Haibo TAO ; Kun LI ; Guanshun WANG ; Huan MA ; Yao WANG
Chinese Journal of Medical Imaging 2024;32(10):1075-1079
Multiple myeloma is a kind of hematological malignancy commonly seen in the elderly.Its main feature is that abnormal proliferation of bone marrow plasma cells replace normal bone marrow,which changes the water fat ratio of vertebral bone marrow,leading to bone destruction and bone marrow infiltration.At present,dual energy CT virtual non calcium and modified Dixon Quant can detect the changes of bone marrow and conduct qualitative and quantitative analysis of bone lesions,which can assist in the diagnosis of multiple myeloma,prompt treatment response and judge the prognosis of patients.This paper reviews the application progress of the above two quantitative techniques in multiple myeloma,in order to provide imaging reference for the diagnosis and treatment of multiple myeloma.
7.Construction and effect analysis of management mode of thoracic laparoscopic equipment in operating room based on management process improvement DMAIC model
Jiawen GUO ; Lan YAO ; Lei MA ; Yang LI ; Jing YANG
China Medical Equipment 2024;21(6):131-136
Objective:Based on the Six Sigma(6σ)management process improvement DMAIC model,to construct the management model of thoracic laparoscopy equipment in operating room,and to analyze its application effect in the management of thoracic laparoscopy in operating room.Methods:Based on the data analysis of the definition,measurement,analysis,improvement and control stages of DMAIC model,the optimization and improvement strategies of thoracic laparoscopic equipment management in operating room were developed.50 sets of thoracic laparoscopic equipment in clinical use in The First Affiliated Hospital of Xi'an Jiaotong University from 2021 to 2022 were selected,and traditional management mode and DMAIC management model were adopted respectively.A self-made questionnaire was used to investigate the satisfaction with the use of the equipment and the mastery of equipment-related knowledge of the two management modes among the maintenance and use personnel of thoracic and laparoscopic equipment,and the incidence of equipment failure in the two management modes was compared.Results:The incidence of adverse events of thoracic laparoscopic equipment in operating room using the DMAIC model management mode was 2.00%(1/50),which was lower than that of traditional management mode,the difference was statistically significant(x2=8.155,P<0.05).The satisfaction of the of maintenance personnel with the use thoracic laparoscopic equipment adopting DMAIC model management mode was 100.00%(50/50),which was higher than that of traditional management mode,the difference was statistically significant(x2=8.696,P<0.05).The average scores of medical staff's basic equipment use knowledge,equipment cleaning and disinfection knowledge and equipment routine maintenance knowledge of thoracic laparoscopic equipment using DMAIC model management mode were(96.28±4.82)points,(94.69±4.73)points and(96.26±4.16)points,respectively,which were higher than those of the traditional management mode,the difference was statistically significant(t=6.023,9.746,12.619,P<0.05).Conclusion:The application of the management mode of thoracic laparoscopy equipment in operating room based on DMAIC model to the management of thoracic laparoscopy equipment in hospital operating room can reduce the incidence of adverse conditions during the use of thoracic laparoscopy equipment,improve the satisfaction of equipment users,and improve the understanding and mastery of equipment related knowledge of medical staff.
8.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.
9.Evidence summary of exercise intervention in patients with multiple myeloma
Lijun MA ; Na LI ; Yuxuan YIN ; Hui YANG ; Wei LIU ; Jing YAO ; Yawen BIE
Chinese Journal of Nursing 2024;59(11):1324-1331
Objective To search,evaluate and summarize the relevant evidence of exercise intervention for patients with multiple myeloma,and provide references for medical staff to guide patients to carry out exercise intervention.Methods The researchers conducted a systematical search in national and intemational databases,relevant guideline websites and professional society websites for related clinical decisions,recommended practices,guidelines,evidence summaries,expert consensuses,and systematic reviews for exercise intervention in patients with multiple myeloma since establishment of databases to May 2023.The quality evaluation,extraction and integration for evidence were conducted independently by 2 researchers,respectively.Results A total of 13 studies,including 2 guidelines,8 systematic reviews,2 expert consensuses and 1 randomized controlled trial,were included.There were 23 pieces of best evidence with 5 dimensions,including the exercise intensity effectiveness,contraindications and indications,exercise pre-intervention evaluation,exercise intervention style and intensity,and exercise intervention management.Conclusion The study summarized the best evidence of exercise intervention for patients with multiple myeloma.It is recommended for health professionals to fully consider the clinical situations to develop more detailed personalized exercise intervention programs based on patients'own situation.
10.Expression and mechanism of N6-methyladenosine methylation-related factors in the repair of skeletal muscle injury in mice
Jia-Yin LU ; Zhi-Chao YAO ; Xiao-Jing HAO ; Yi YAN ; Pei MA ; Hui-Ling ZHANG ; Hai-Dong WANG
Acta Anatomica Sinica 2024;55(3):285-294
Objective To investigate the dynamic expression with the time change of N6-methyladenosine(m6A)methylation-related factors in the repair process of skeletal muscle injury and its mechanism in the inflammatory response of macrophage in the injure process.Methods In vivo mice models of BaCl2 injury in the gastrocnemius were established.Four mice per group in the control group and injury group.Gastrocnemius tissues were harvested at day 1,3,5,7,and 9 after injury for experiments.Primary gastrocnemius muscle tissue cells,muscle satellite cells,muscle cells,and cell line C2C12 cells were treated with dexamethasone(DEX,50 μmol/L)to mimic injury.Lipopolysaccharide(LPS,100 μg/L)induced RAW264.7 cell lines to mimic the inflammatory response after skeletal muscle injury,and STM2457(30 μmol/L)was added to inhibit the effect of methyltransferase 3(Mettl3)before LPS treatment.The expression of m6A methylation-related factors(Writers,Erasers,Readers)and inflammation factors were detected by Real-time PCR and Western blotting.Results The muscle fibers were dissolved and then gradually repaired with the extension of injury time,the number of monocytes/macrophages increased first and then decreased,and the Pax7 mRNA level increased first and then decreased with the change of injury time.Compared with the control group,the mRNA and protein levels of m6A methylation-related factors in gastrocnemius did not change significantly on the injury-1 day.However,they were significantly increased on the injury-3 days compared with the control group(P<0.05),and then obviously decreased on the injury-5 days group compared with the injury-3 days group(P<0.05).Compared with the control group,they were no significant differences on the injury-7 days group and-9 days group.In vitro DEX decreased the mRNA levels of m6A methyltransferase factors in primary muscle satellite cells and C2C12 cells and increased the mRNA expression level of methylation-recognition enzyme factors(P<0.05).The mRNA levels of m6A methylation-related factors increased significantly in skeletal muscle tissue cells and myocytes after DEX treatment(P<0.05).After LPS treatment,the mRNA and protein expression levels of m6A methylation-related factors and the mRNA expression levels of inflammatory factors interleukin(IL)-6 and IL-1β in macrophages increased significantly(P<0.05),while the levels of IL-6 and IL-1β mRNA in macrophages decreased significantly when the Mettl3 was inhibited(P<0.05).Conclusion m6A methylation-related factors primarily is activated in the damaged muscle cells and inflammation response of macrophages.Inhibition of m6A methyltransferase can reduce the inflammatory response of macrophages.

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