1.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.
2.Compilation Instructions for Expert Consensus on Clinical Application of Dieda Huoxue Capsules
Yuhang MENG ; Jinghua GAO ; Minshan FENG ; Quan JI ; Jin JIN ; Ting CHENG ; Yongyao LI ; Yuanyuan LI ; Xin CUI ; Yanming XIE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(20):177-183
The Compilation Instructions for Expert Consensus on Clinical Application of Dieda Huoxue capsules systematically expound the development methods and evidence-based basis of this consensus. In view of the weak clinical application evidence and ambiguous indications of Dieda Huoxue capsules, the Institute of Basic Research in Clinical Medicine of the China Academy of Chinese Medical Sciences and Wangjing Hospital took the lead and collaborated with 33 experts from 28 medical institutions nationwide. They strictly followed the World Health Organization (WHO) guideline-making norms and the Grading of Recommendations Assessment, Development and Evaluations (GRADE) evidence-grading system and completed the compilation through multidisciplinary cooperation. The workflow included constructing clinical questions (19 items were screened by the nominal group technique), retrieving evidence (from Chinese and English databases and grey literature), assessing safety (integrating drug monitoring data and clinical investigations), and forming recommendations and consensus suggestions (3 recommendations were reached via the GRADE grid method, and 16 consensus suggestions were reached by the majority vote rule). The results indicate that the consensus clearly states that this medicine (Dieda Huoxue capsules) is applicable to conditions like traumatic injury, blood stasis-induced pain, and sudden lumbar sprains. The recommended dose is 6 capsules each time, twice a day. Combining oral administration with external application can enhance the efficacy, and elderly patients should take the medicine at intervals. Safety monitoring suggests that it should be used with caution in people with a bleeding tendency and those with an allergic constitution. The compilation process involved three rounds of reviews by internal and external experts. Literature analysis, the Delphi method, and clinical applicability tests were employed to ensure methodological rigor. The compilation instructions comprehensively present key aspects such as project approval and registration, conflict-of-interest statements, and evidence evaluation through 12 appendices, providing methodological support for the clinical translation of the consensus. In the future, it will be continuously improved through a dynamic revision mechanism.
3.Effect and mechanism of Moringa oleifera leaves, seeds, and velamen in improving learning and memory impairments in mice based on transcriptomic and metabolomic.
Zhi-Hao WANG ; Shu-Yi FENG ; Tao LI ; Wan-Ping ZHOU ; Jin-Yu WANG ; Yang LIU ; Lin ZHANG ; Yuan-Yuan XIE ; Xiu-Lan HUANG ; Zhi-Yong LI ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(13):3793-3812
Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals
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Moringa oleifera/chemistry*
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Male
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Mice
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Seeds/chemistry*
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Plant Leaves/chemistry*
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Mice, Inbred ICR
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Memory Disorders/psychology*
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Transcriptome/drug effects*
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Memory/drug effects*
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Learning/drug effects*
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Metabolomics
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Humans
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Drugs, Chinese Herbal/administration & dosage*
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Maze Learning/drug effects*
4.Analysis of clinical characteristics and influencing factors of patients with postmenopausal osteoporosis combined with dyslipidemia.
Rong XIE ; Li-Guo ZHU ; Zi-Kai JIN ; Tian-Xiao FENG ; Ke ZHAO ; Da WANG ; Ling-Hui LI ; Xu WEI
China Journal of Orthopaedics and Traumatology 2025;38(5):487-493
OBJECTIVE:
To explore the co-morbid influencing factors of postmenopausal osteoporosis(PMOP) and dyslipidemia, and to provide evidence-based basis for clinical co-morbidity management.
METHODS:
Based on the 2017 to 2018 Beijing community cross-sectional survey data, PMOP patients were included and divided into the dyslipidemia group and the uncomplicated dyslipidemia group according to whether they were comorbid with dyslipidemia. Demographic characteristics, living habits and disease history were collected through questionnaires, and bone mineral density and bone metabolism biomarkers (osteocalcin, blood calcium, serum typeⅠprocollagen N-terminal prepeptide, etc.) were detected on site. Co-morbidity risk factors were analyzed using binary logistic regression.
RESULTS:
Three hundred and twenty patients with PMOP were included, including the comorbid group (75 patients) and the uncomplicated group (245 patients). The results showed that history of cardiovascular disease [OR=1.801, 95%CI(1.003, 3.236), P=0.049], history of cerebrovascular disease [OR=2.923, 95%CI(1.460, 5.854), P=0.002], frying and cooking methods[OR=5.388, 95%CI(1.632, 17.793), P=0.006], OST results[OR=0.910, 95%CI(0.843, 0.983), P=0.016], and blood Ca results [OR=60.249, 95%CI(1.862, 1 949.926), P=0.021] were the influencing factors of PMOP complicated with dyslipidemia.
CONCLUSION
Focus should be placed on the influencing factors of PMOP and dyslipidemia co-morbidities, with emphasis on multidimensional assessment, combining lifestyle interventions with bone metabolism marker monitoring to optimize co-morbidity management.
Humans
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Dyslipidemias/epidemiology*
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Female
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Middle Aged
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Osteoporosis, Postmenopausal/metabolism*
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Aged
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Cross-Sectional Studies
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Risk Factors
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Bone Density
5.Enhanced radiotheranostic targeting of integrin α5β1 with PEGylation-enabled peptide multidisplay platform (PEGibody): A strategy for prolonged tumor retention with fast blood clearance.
Siqi ZHANG ; Xiaohui MA ; Jiang WU ; Jieting SHEN ; Yuntao SHI ; Xingkai WANG ; Lin XIE ; Xiaona SUN ; Yuxuan WU ; Hao TIAN ; Xin GAO ; Xueyao CHEN ; Hongyi HUANG ; Lu CHEN ; Xuekai SONG ; Qichen HU ; Hailong ZHANG ; Feng WANG ; Zhao-Hui JIN ; Ming-Rong ZHANG ; Rui WANG ; Kuan HU
Acta Pharmaceutica Sinica B 2025;15(2):692-706
Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [64Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [64Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [64Cu]QM-2303 from the bloodstream. Administration of a single dose of [177Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [64Cu]/[177Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [64Cu]/[177Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.
6.Submicron-sized superantigen biomimetic liposomes with highly efficient pulmonary accumulation to remodel local immune microenvironment for cancer chemoimmunotherapy.
Bochuan YUAN ; Feng ZHANG ; Qiucheng YAN ; Wanmei WANG ; Zhangyu LI ; Lina DU ; Yiguang JIN ; Fei XIE
Acta Pharmaceutica Sinica B 2025;15(6):2900-2914
Metastatic lung cancer continues to cause a high number of deaths due to high malignancy and poor prognosis, and the efficacy of typical chemotherapy or immunotherapy is less than ideal due to the low pulmonary accumulation and targeting of therapeutics. Here, a submicron-sized biomimetic liposome was formulated for the lung-targeted co-delivery of bacterial superantigen and paclitaxel. Recombinant staphylococcal enterotoxin C2 (rSEC2), a bacterial superantigen, was expressed with the Escherichia coli system and showed potent immunostimulatory activities to mediate tumor cell death. The submicron-sized (∼800 nm) biomimetic liposomes, namely 4T1 cell membrane-hybrid rSEC2 paclitaxel liposomes (TSPLs), exhibited high lung-accumulation efficiency and tumor homologous effect due to the suitable particle size and membrane hybridization of cancer cell membranes with phospholipids. Intravenous TSPLs remarkably inhibited metastatic lung cancer with limited systemic immune responses. TSPLs reversed the immunosuppressive state and increased the proportion of local CD4+ and CD8+ T cells in the lung; moreover, paclitaxel increased tumor cell apoptosis and reduced tumor burden. In summary, the high lung cancer targeting was achieved by particle size control and cell membrane hybridization, and the highly efficient anticancer effect was achieved by the co-delivery of superantigens and chemotherapeutic drugs.
7.Cloning and preliminary inquiry of AlWRKY65 from Atractylodes lancea
Feng-ya GUAN ; Wei-wei LIU ; Kai-wen CHI ; Kai-ling ZENG ; Jin XIE ; Liang-ping ZHA
Acta Pharmaceutica Sinica 2024;59(5):1494-1502
WRKY transcription factor is a type of transcription factor unique to plants and plays an important role in various physiological processes of plants. This study is based on the transcriptome data of
8.Analysis on the Medication Law of Yuan Jinsheng for Treating Palpitations Based on Data Mining
Ailin JIN ; Hua SHU ; Zhengsheng LI ; Min XIE ; Feng WU ; Jinsheng YUAN
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(12):57-62
Objective To analyze the medication law of Professor Yuan Jinsheng,a renowned TCM practitioner in China,for treating palpitations through data mining methods.Methods Clinical prescriptions for treating palpitations by Professor Yuan Jinsheng from January 2016 to May 2023 were collected.The prescriptions were screened based on inclusion and exclusion criteria,a prescription compatibility network was constructed based on R Studio 4.3.1,and the medication law of prescriptions was analyzed.Results Totally 331 prescriptions were screened,involving 180 types of Chinese materia medica,with a total frequency of 3 625.The most frequently used drugs(≥30 times)were mainly tonics.The main properties were warm and neutral,the main tastes were sweet,bitter,and pungent,which belonged to heart,spleen and lung meridians.The top 5 drugs with high correlation were tonifying,blood circulation-activating and stasis-resolving,qi-regulating,and heat-clearing.Correlation analysis reveals high-frequency drugs,which were mainly Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Rehmannine Radix,Ophiopogonis Radix,Astragali Radix and Codonopsis Radix.The clustering analysis results showed that the efficacy was mainly tonifying deficiency,regulating qi,activating blood circulation,and resolving stasis.Conclusion Professor Yuan Jinsheng's prescription compatibility for treating palpitations primarily focuses on tonics,qi-regulating,and blood circulation-activating and stasis-resolving herbs,embodying the principles of treating palpitations from the perspective of the heart and spleen and the combined use of multiple organs.
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.Epidemiological characteristics of human respiratory syncytial virus among acute respiratory infection cases in 16 provinces of China from 2009 to 2023
Aili CUI ; Baicheng XIA ; Zhen ZHU ; Zhibo XIE ; Liwei SUN ; Jin XU ; Jing XU ; Zhong LI ; Linqing ZHAO ; Xiaoru LONG ; Deshan YU ; Bing ZHU ; Feng ZHANG ; Min MU ; Hui XIE ; Liang CAI ; Yun ZHU ; Xiaoling TIAN ; Bing WANG ; Zhenguo GAO ; Xiaoqing LIU ; Binzhi REN ; Guangyue HAN ; Kongxin HU ; Yan ZHANG
Chinese Journal of Preventive Medicine 2024;58(7):945-951
Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

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