1.Studies on the best production mode of traditional Chinese medicine driven by artificial intelligence and its engineering application.
Zheng LI ; Ning-Tao CHENG ; Xiao-Ping ZHAO ; Yi TAO ; Qi-Long XUE ; Xing-Chu GONG ; Yang YU ; Jie-Qiang ZHU ; Yi WANG
China Journal of Chinese Materia Medica 2025;50(12):3197-3203
The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence
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Drugs, Chinese Herbal
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Medicine, Chinese Traditional/methods*
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Humans
2.Enhanced Dissolution Behavior and Stability of Felodipine by Cocrystal Technology
Yao ZOU ; Xin MENG ; Meiju LIU ; Cheng XING ; Ningbo GONG ; Yang LYU
Herald of Medicine 2025;44(6):867-873
Objective To develop four novel cocrystals of felodipine aimed at improving its poor solubility.Methods Felodipine-caproamide,felodipine-2,4-dihydroxybenzoic acid,felodipine-2,5-dihydroxybenzoic acid,and felodipine-3,5-dihydroxybenzoic acid cocrystals were prepared using the slurry method.The cocrystals were characterized by powder X-ray diffraction(PXRD),differential scanning calorimetry(DSC),thermogravimetric analysis(TGA),and Fourier-transform infrared spectroscopy(FT-IR).Stability tests and in vitro dissolution studies were conducted to assess their pharmaceutical properties.Results All four cocrystals demonstrated improved solubility and dissolution rates compared to pure felodipine.Notably,the felodipine-3,5-dihydroxybenzoic acid cocrystal showed superior stability and a marked increase in solubility.Conclusion Cocrystallization technology significantly enhanced the stability and dissolution profile of felodipine,underscoring its potential for pharmaceutical formulation development.
3.Risk factors of colostomy site incisional hernia after colorectal cancer and the construction and validation of the nomogram model
Xu-fei GONG ; Hui CHENG ; Yuan-yuan XING ; Ming-xiao GUO
Chinese Journal of Current Advances in General Surgery 2025;28(1):7-11
Objective:To explore the risk factors of colostomy site incisional hernia associated with colorectal can-cer and to construct and validate a nomogram model.Methods:A retrospective case-control study was conducted to collect and analyze the clinical data of patients who underwent stoma reversal after colorectal cancer surgery in the Gen-eral Surgery Department of Linyi People's Hospital from January 2019 to January 2023.A total of 371 patients were en-rolled and divided into SSIH group and non-SSIH group according to whether SSIH occurred.SPSS 25.0 software was used to perform univariate analysis on 22 related factors of patients,and multivariate analysis was performed on statisti-cally significant risk factors to screen out the independent influencing factors of SSIH related to CRC surgery.According to the results of multivariate analysis,the R language version 4.3.1 was used to establish and verify the nomogram risk prediction model.Results:SSIH occurred in 52 of 371 patients(14.02%).The results of univariate analysis showed that BMI,coronary heart disease,incision infection,stoma location,parastomal hernia,and closure time were statistically sig-nificant(P<0.05).Multivariate analysis showed that coronary heart disease,closure time and parastomal hernia were in-dependent risk factors for SSIH after CRC(P<0.05).Based on the above results,the nomogram prediction model was successfully drawn and verified.Conclusions:Coronary heart disease,closure time and parastomal hernia are inde-pendent risk factors for SSIH after CRC surgery.The nomogram constructed based on these factors has a high predictive value for SSIH,which can provide a basis for clinicians to prevent and treat SSIH,and help reduce the incidence of SSIH.
4.Exome sequencing in children with cerebral palsy:a comparison of capture performance between TruSeq and NimbleGen kits
Yan-gong WANG ; Ye CHENG ; Yang LIU ; Yi-ran XU ; Qing-he XING
Fudan University Journal of Medical Sciences 2025;52(6):868-876
Objective To compare the capture performance differences between TruSeq? Exome and NimbleGen SeqCap EZ Human Exome kits in children with cerebral palsy(CP),and to provide a technical selection basis for clinical genetic research and diagnosis.Methods Peripheral blood samples from 48 sporadic CP patients were included.Exome libraries were constructed using TruSeq(DNA probes)and NimbleGen(RNA probes),followed by sequencing on the Illumina HiSeq 2000 platform.Bioinformatics analysis was applied to evaluate mapping rate,target region coverage,variant concordance,and clinical relevance based on a CP-related gene set(2 293 genes).The statistical analysis was performed using a paired t-test with a significance threshold of α=0.05.Results The results showed no significant differences between NimbleGen and TruSeq exome capture kits in basic data quality(alignment rate,insert size)and GC content.However,they exhibited complementary characteristics in key performance metrics:NimbleGen demonstrated superior performance in specific depth coverage(1×coverage rate,P=1.84×10-5;20×coverage rate,P=1.49×10-20).TruSeq,on the other hand,showed higher sensitivity in Indel detection(TruSeq vs.NimbleGen:11 371±1 689 vs.11 274±1 670,P=3.24×10-7)and rare variant capture(TruSeq vs.NimbleGen:3 164±766 vs.3 072±774,P=1.20×10-4),successfully identifying all 11 pathogenic variants(including 2 missed by NimbleGen).Conclusion TruSeq,with its superior variant detection rate,is more suitable for clinical diagnostic applications,while NimbleGen's coverage stability may be advantageous for research-oriented projects.
5.Enhanced Dissolution Behavior and Stability of Felodipine by Cocrystal Technology
Yao ZOU ; Xin MENG ; Meiju LIU ; Cheng XING ; Ningbo GONG ; Yang LYU
Herald of Medicine 2025;44(6):867-873
Objective To develop four novel cocrystals of felodipine aimed at improving its poor solubility.Methods Felodipine-caproamide,felodipine-2,4-dihydroxybenzoic acid,felodipine-2,5-dihydroxybenzoic acid,and felodipine-3,5-dihydroxybenzoic acid cocrystals were prepared using the slurry method.The cocrystals were characterized by powder X-ray diffraction(PXRD),differential scanning calorimetry(DSC),thermogravimetric analysis(TGA),and Fourier-transform infrared spectroscopy(FT-IR).Stability tests and in vitro dissolution studies were conducted to assess their pharmaceutical properties.Results All four cocrystals demonstrated improved solubility and dissolution rates compared to pure felodipine.Notably,the felodipine-3,5-dihydroxybenzoic acid cocrystal showed superior stability and a marked increase in solubility.Conclusion Cocrystallization technology significantly enhanced the stability and dissolution profile of felodipine,underscoring its potential for pharmaceutical formulation development.
6.Exome sequencing in children with cerebral palsy:a comparison of capture performance between TruSeq and NimbleGen kits
Yan-gong WANG ; Ye CHENG ; Yang LIU ; Yi-ran XU ; Qing-he XING
Fudan University Journal of Medical Sciences 2025;52(6):868-876
Objective To compare the capture performance differences between TruSeq? Exome and NimbleGen SeqCap EZ Human Exome kits in children with cerebral palsy(CP),and to provide a technical selection basis for clinical genetic research and diagnosis.Methods Peripheral blood samples from 48 sporadic CP patients were included.Exome libraries were constructed using TruSeq(DNA probes)and NimbleGen(RNA probes),followed by sequencing on the Illumina HiSeq 2000 platform.Bioinformatics analysis was applied to evaluate mapping rate,target region coverage,variant concordance,and clinical relevance based on a CP-related gene set(2 293 genes).The statistical analysis was performed using a paired t-test with a significance threshold of α=0.05.Results The results showed no significant differences between NimbleGen and TruSeq exome capture kits in basic data quality(alignment rate,insert size)and GC content.However,they exhibited complementary characteristics in key performance metrics:NimbleGen demonstrated superior performance in specific depth coverage(1×coverage rate,P=1.84×10-5;20×coverage rate,P=1.49×10-20).TruSeq,on the other hand,showed higher sensitivity in Indel detection(TruSeq vs.NimbleGen:11 371±1 689 vs.11 274±1 670,P=3.24×10-7)and rare variant capture(TruSeq vs.NimbleGen:3 164±766 vs.3 072±774,P=1.20×10-4),successfully identifying all 11 pathogenic variants(including 2 missed by NimbleGen).Conclusion TruSeq,with its superior variant detection rate,is more suitable for clinical diagnostic applications,while NimbleGen's coverage stability may be advantageous for research-oriented projects.
7.Risk factors of colostomy site incisional hernia after colorectal cancer and the construction and validation of the nomogram model
Xu-fei GONG ; Hui CHENG ; Yuan-yuan XING ; Ming-xiao GUO
Chinese Journal of Current Advances in General Surgery 2025;28(1):7-11
Objective:To explore the risk factors of colostomy site incisional hernia associated with colorectal can-cer and to construct and validate a nomogram model.Methods:A retrospective case-control study was conducted to collect and analyze the clinical data of patients who underwent stoma reversal after colorectal cancer surgery in the Gen-eral Surgery Department of Linyi People's Hospital from January 2019 to January 2023.A total of 371 patients were en-rolled and divided into SSIH group and non-SSIH group according to whether SSIH occurred.SPSS 25.0 software was used to perform univariate analysis on 22 related factors of patients,and multivariate analysis was performed on statisti-cally significant risk factors to screen out the independent influencing factors of SSIH related to CRC surgery.According to the results of multivariate analysis,the R language version 4.3.1 was used to establish and verify the nomogram risk prediction model.Results:SSIH occurred in 52 of 371 patients(14.02%).The results of univariate analysis showed that BMI,coronary heart disease,incision infection,stoma location,parastomal hernia,and closure time were statistically sig-nificant(P<0.05).Multivariate analysis showed that coronary heart disease,closure time and parastomal hernia were in-dependent risk factors for SSIH after CRC(P<0.05).Based on the above results,the nomogram prediction model was successfully drawn and verified.Conclusions:Coronary heart disease,closure time and parastomal hernia are inde-pendent risk factors for SSIH after CRC surgery.The nomogram constructed based on these factors has a high predictive value for SSIH,which can provide a basis for clinicians to prevent and treat SSIH,and help reduce the incidence of SSIH.
8.Chiral LC-MS-guided isolation of angular-type pyranocoumarins from Peucedani Radix
Yang YANG ; Xing-cheng GONG ; Peng-fei TU ; Wen-jing LIU ; Yue-lin SONG
Acta Pharmaceutica Sinica 2024;59(8):2343-2349
This study utilized a chiral liquid chromatography-mass spectrometry (LC
9.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.
10.Study on improving the photostability of nifedipine by crystal engineering
Xin MENG ; Yao ZOU ; Mei-ju LIU ; Cheng XING ; Ning-bo GONG ; Yang LÜ
Acta Pharmaceutica Sinica 2024;59(12):3374-3378
In order to improve the poor photostability of nifedipine, this study designed a cocrystal based on the principles of crystal engineering and prepared nifedipine-imidazole cocrystal by suspension method. The new cocrystal was characterized by powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), thermogravimetric analysis (TG) and infrared spectroscopy (IR) to confirm the formation of the cocrystal. The photostability of nifedipine and its cocrystal was measured by powder X-ray diffraction and high-performance liquid chromatography (HPLC). The results showed that the nifedipine-imidazole cocrystal improved the photostability of nifedipine to a certain extent. This study provides guidance for the development of nifedipine cocrystals and the improvement of its druggability.

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