1.Key questions of translational research on international standards of acupuncture-moxibustion techniques: an example from the WFAS Technical Benchmark of Acupuncture and Moxibustion: General Rules for Drafting.
Shuo CUI ; Jingjing WANG ; Zhongjie CHEN ; Jin HUO ; Jing HU ; Ziwei SONG ; Yaping LIU ; Wenqian MA ; Qi GAO ; Zhongchao WU
Chinese Acupuncture & Moxibustion 2025;45(8):1159-1165
OBJECTIVE:
To provide the experience and demonstration for the transformation of acupuncture-moxibustion techniques standards from Chinese national standards to international standards.
METHODS:
Questionnaire research, literature research, semi-structured interviews and expert consultation were used.
RESULTS:
The safety of acupuncture-moxibustion techniques was evaluated through literature research, and based on the results of the questionnaire survey, expert interviews, and expert consultation, 11 main bodies and structure of the former Chinese national standard, Technical Benchmark of Acupuncture and Moxibustion: General Rules for Drafting, were adjusted and optimized in accordance with the requirements of international standard (including the language, normative references, purpose, scope, applicable environment, target population, work team, terms and definitions, general principles and basic requirements, structural elements and text structure, and compilation process); and the first international standard, World Federation of Acupuncture-Moxibustion Societis (WFAS) Technical Benchmark of Acupuncture and Moxibustion: General Rules for Drafting was formulated to specify the general rules for drafting.
CONCLUSION
The 3 key questions, "international compatibility", "technical operability" and "safety" should be solved technically on the basis of explicit international requirements. It is the core technical issue during transforming the national standards of technical benchmark of acupuncture and moxibustion into international standards.
Moxibustion/methods*
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Acupuncture Therapy/methods*
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Humans
;
Translational Research, Biomedical/standards*
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Surveys and Questionnaires
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China
;
Benchmarking/standards*
2.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
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Delivery of Health Care
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Generative Artificial Intelligence
3.A practice guideline for therapeutic drug monitoring of mycophenolic acid for solid organ transplants.
Shuang LIU ; Hongsheng CHEN ; Zaiwei SONG ; Qi GUO ; Xianglin ZHANG ; Bingyi SHI ; Suodi ZHAI ; Lingli ZHANG ; Liyan MIAO ; Liyan CUI ; Xiao CHEN ; Yalin DONG ; Weihong GE ; Xiaofei HOU ; Ling JIANG ; Long LIU ; Lihong LIU ; Maobai LIU ; Tao LIN ; Xiaoyang LU ; Lulin MA ; Changxi WANG ; Jianyong WU ; Wei WANG ; Zhuo WANG ; Ting XU ; Wujun XUE ; Bikui ZHANG ; Guanren ZHAO ; Jun ZHANG ; Limei ZHAO ; Qingchun ZHAO ; Xiaojian ZHANG ; Yi ZHANG ; Yu ZHANG ; Rongsheng ZHAO
Journal of Zhejiang University. Science. B 2025;26(9):897-914
Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C0), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug-drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage*
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Drug Monitoring/methods*
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Humans
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Organ Transplantation
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Immunosuppressive Agents/administration & dosage*
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Delphi Technique
4.Expert consensus on early orthodontic treatment of class III malocclusion.
Xin ZHOU ; Si CHEN ; Chenchen ZHOU ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Weiran LI ; Jun WANG ; Min HU ; Yang CAO ; Yuehua LIU ; Bin YAN ; Jiejun SHI ; Jie GUO ; Zhihua LI ; Wensheng MA ; Yi LIU ; Huang LI ; Yanqin LU ; Liling REN ; Rui ZOU ; Linyu XU ; Jiangtian HU ; Xiuping WU ; Shuxia CUI ; Lulu XU ; Xudong WANG ; Songsong ZHU ; Li HU ; Qingming TANG ; Jinlin SONG ; Bing FANG ; Lili CHEN
International Journal of Oral Science 2025;17(1):20-20
The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans
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Malocclusion, Angle Class III/classification*
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Orthodontics, Corrective/methods*
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Consensus
;
Child
5.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
;
Dental Cementum/injuries*
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Consensus
;
Diagnosis, Differential
;
Cone-Beam Computed Tomography
;
Tooth Fractures/therapy*
6.Angiopoietin-like protein 4 affects progression of diabetic foot by regulating fibroblast and endothelial cell functions
Qinghong SONG ; Nan WU ; Yan SHI ; Hongyu CUI ; Fei LIU ; Hanchong LIU ; Ning ZHOU ; Bin YAO
Chinese Journal of Tissue Engineering Research 2025;29(25):5396-5402
BACKGROUND:Studies have shown that vascular factors have an important impact on the occurrence of diabetic foot.OBJECTIVE:To investigate the important role of angiopoietin-like protein 4 in the formation of diabetic foot.METHODS:(1)Bioinformatics analysis was performed on the gene expression profile data of diabetic foot patients to find the key genes.The skin samples of diabetic foot patients and healthy people were collected for hematoxylin-eosin staining,immunohistochemical staining,and qRT-PCR experiments to detect the expression of angiopoietin-like protein 4.(2)The immortalized human skin fibroblast cell line and primary human umbilical vein endothelial cells were cultured.The two kinds of cells were divided into control group and exogenous angiopoietin-like protein 4 supplemented group.The migration ability and proliferation ability of fibroblasts were detected by scratch assay and CCK-8 assay.The proliferation ability of endothelial cells was detected by Ki67 assay.RESULTS AND CONCLUSION:(1)Bioinformatics analysis results showed that the down-regulation of angiopoietin-like protein 4 gene might be the key gene leading to the formation of diabetic foot.(2)Hematoxylin-eosin staining exhibited that compared with normal skin,angiopoietin-like protein 4 was weakly expressed in diabetic foot skin,and the mRNA level was decreased(P<0.01).(3)Scratch assay results demonstrated that compared with the control group,fibroblast migration ability was significantly enhanced in the angiopoietin-like protein 4 group.CCK-8 assay showed that the absorbance value of fibroblasts in the angiopoietin-like protein 4 group was higher than that of the control group at 24 and 48 hours(P<0.01,P<0.001).It is suggested that angiopoietin-like protein 4 can enhance the migration and proliferation of fibroblasts.(4)Ki67 assay results demonstrated that the number of Ki67 positive cells in the angiopoietin-like protein 4 group was significantly more than that in the control group.CCK-8 assay results showed that the absorbance value of endothelial cells in the angiopoietin-like protein 4 group was higher than that of the control group at 24 and 48 hours(P<0.05,P<0.001).(5)All findings suggest that angiopoietin-like protein 4 can enhance the proliferation of endothelial cells treated with high glucose.
7.Study on the Improvement Effect of Pinelliae Rhizoma Praeparatum Cum Alumine and Its Active Components on Inflamma-tory Response in Acute Lung Injury
Yanqing XU ; Xinzhi WANG ; Xiaobing CUI ; Yuxin GU ; Qianlin CHEN ; Shengjun CHEN ; Song LI ; Hao WU ; Hongli YU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(8):1055-1065
OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.
8.Study on the Improvement Effect of Pinelliae Rhizoma Praeparatum Cum Alumine and Its Active Components on Inflamma-tory Response in Acute Lung Injury
Yanqing XU ; Xinzhi WANG ; Xiaobing CUI ; Yuxin GU ; Qianlin CHEN ; Shengjun CHEN ; Song LI ; Hao WU ; Hongli YU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(8):1055-1065
OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.
9.Study on the correlation between myocardial fibrosis and heart failure severity in patients with heart failure via cardiac MR
Ping CUI ; Song WANG ; Jinxiang XIA ; Hu LIAN ; Hui WU ; Xing ZHONG ; Chuanmin LI ; Sutong WU
Journal of Practical Radiology 2025;41(2):226-230
Objective To investigate the correlation between myocardial fibrosis(MF)and left ventricular ejection fraction(LVEF)and myocardial injury markers in heart failure patients via cardiac magnetic resonance(CMR).Methods Seventy-six patients with heart failure were selected,including 32 cases of heart failure with preserved ejection fraction(HFpEF)(HFpEF group),15 cases of heart failure with mid-range ejection fraction(HFmEF)(HFmEF group),and 29 patients of heart failure with reduced ejection fraction(HFrEF)(HFrEF group).Additionally,7 healthy individuals undergoing physical examinations were included(control group).CMR parameters and biological markers for the heart failure groups were collected for all subjects.The differences in native T1 value and extracellular volume fraction(ECV)between the heart failure group and the control group were compared,respectively.The differences in native T1 value,ECV,late gadolinium enhancement(LGE)score,serum creatine kinase-MB(CK-MB),cardiac troponin Ⅰ knockdown(cTnI-KD),and N-terminal pro-brain natriuretic peptide(NT-proBNP)among heart failure subgroups were also compared,respectively.Spearman correlation analysis was used to examine the relationships between MF imaging indicators and LVEF,as well as NT-proBNP levels.Results The differences in native T1 value,ECV,LGE score,and NT-proBNP between the heart failure group and the control group,as well as between the heart failure subgroups were statistically significant(P<0.05).The native T1 value,ECV,and LGE score in the heart failure group were positively correlated with NT-proBNP,and negatively correlated with LVEF.Conclusion The native T1 value,ECV value and LGE score are correlated with heart failure severity.CMR can detect myocardial injury early in patients with HFpEF and provide valuable information for risk stratification of MF.
10.Construction and validation of a risk prediction model for acute myocardial infarction complicated by malignant ventricular arrhythmias
Dongli SONG ; Shengnan LIU ; Shuo WU ; Jie GAO ; Xiao ZHANG ; Weikai CUI ; Yifan WANG ; Jiali WANG ; Yuguo CHEN
Chinese Journal of Emergency Medicine 2025;34(7):923-931
Objective:To analyze the risk factors for in-hospital malignant ventricular arrhythmia (MVA) in acute myocardial infarction (AMI) and to construct and validate a risk prediction model.Methods:This study was a retrospective cohort study. Patients aged≥18 years who were admitted to Qilu Hospital of Shandong University with a diagnosis of AMI and underwent coronary angiography (CAG) from May 2016 to March 2023 were selected, and the patients' clinical routine test indicators and CAG results were collected. Univariate and bidirectional stepwise logistic regression were used to screen out the risk factors for constructing the best prediction model. The prediction model was constructed by combining the results of multivariate logistic regression. The Hosmer-Lemeshow test and ROC curve, calibration curve, and decision curve were drawn to evaluate the model. The nomogram was drawn to visualize the model, and the Bootstrap self-sampling method was used for internal validation. The ROC curve was drawn to evaluate the predictive performance of each risk factor and prediction model. Finally, a multicollinearity test was performed.Results:Among the 4 205 patients finally included in the study, 115 patients (2.735%) developed MVA during hospitalization. The predictive factors screened out included age (X1), diastolic blood pressure (X2), respiratory rate (X3), blood glucose (X4), serum potassium (X5), logarithmic NT-proBNP (X6), myocardial infarction type (NSTEMI=X7, unclassified=X8), J wave (X9), Killip grade (Ⅱ=X10, Ⅲ=X11, Ⅳ=X12), and the regression equation was ln(p/1-p)=-4.699+0.029×X1-0.012×X2+0.059×X3+0.148×X4-1.175×X5+0.866×X6-1.427×X7-0.475×X8+0.758×X9+0.294×X10+0.902×X11+1.815×X12. The area under the ROC curve (AUC) of the model was 0.855 (95% CI: 0.816-0.894), and the Hosmer-Lemeshow test ( χ2=14.178, P=0.077) and the calibration curve showed that the predicted probability was consistent with the actual probability. The probability threshold of 0% to 65% had a better clinical net benefit. The area under the internal validation ROC curve (AUC) was 0.855, 95% CI: 0.813-0.891. The prediction performance of the nine variables was stronger than that of any single variable. There was no multicollinearity between the variables. Conclusions:Age, diastolic blood pressure, respiratory rate, blood glucose, serum potassium, NT-proBNP, type of AMI, J wave, and Killip class are forecasting indicator for in-hospital MVA in AMI. The risk prediction model based on the above factors has good predictive performance.

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