1.Clinical Efficacy of Yiqi Yangyin Huoxue Prescription in Treatment of Cathartic Colon and Analysis of Influencing Factors of Disease Severity
Youcheng HE ; Jingyi SHAN ; Fengru JIANG ; Yue WU ; Chunyu ZHOU ; Lu HANG ; Yan ZHOU ; Lian MO ; Shuyu CAI ; Keyi PAN ; Lifeng WEI ; Jianye YUAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):173-184
ObjectiveTo observe the clinical efficacy of the Yiqi Yangyin Huoxue prescription (YYHP) in the treatment of cathartic colon (CC) and its effects on fecal short-chain fatty acids (SCFAs), and to explore the correlations among CC severity indicators and between these indicators and patient history. MethodsAccording to the inclusion and exclusion criteria, 98 patients meeting the diagnostic criteria of both traditional Chinese and Western medicine for CC with the syndrome of Qi-Yin deficiency complicated by blood stasis were randomly assigned to an observation group and a control group. The observation group received YYHP granules, while the control group received lactulose. Both medications were administered twice daily, one sachet each time, half an hour after breakfast and dinner, with a treatment course of 8 weeks. The primary constipation symptom score, Patient Assessment of Constipation Quality of Life (PAC-QOL) score, and TCM syndrome score were assessed before and after treatment and at the 8th week after the end of treatment. The overall clinical effective rate, as well as the efficacy attenuation index and degree, were evaluated. Fecal SCFA levels were measured using gas chromatography-mass spectrometry (GC-MS). Spearman correlation analysis was performed to explore the correlations among CC severity indicators and between these indicators and patient history. ResultsThe overall clinical effective rate in the observation group (95.83%) was higher than that in the control group (78.72%) (P<0.05). After treatment, the total scores for primary constipation symptoms, PAC-QOL, and TCM syndromes decreased in both groups (P<0.05), with more significant reductions in the observation group (P<0.05). The severity of all primary constipation symptoms was alleviated in both groups (P<0.05). In terms of "excessive straining and difficult defecation", "anal heaviness, incomplete evacuation, and bloating sensation", "abdominal distension", and "defecation frequency", the observation group showed better efficacy than the control group (P<0.05). Scores of the four PAC-QOL dimensions and the scores and severity of primary and secondary TCM symptoms were reduced in both groups (P<0.05), with more significant reductions in the observation group (P<0.05). After treatment, acetic acid, propionic acid, butyric acid, and total SCFAs in the observation group increased significantly (P<0.05). The efficacy attenuation index and degree in the observation group were lower than those in the control group (P<0.05). No severe adverse reactions occurred in either group, and there was no statistically significant difference in the incidence of adverse reactions between the two groups. Positive correlations of varying degrees were observed among the total scores of primary constipation symptoms, PAC-QOL, and TCM syndromes, as well as between these scores and the history of stimulant laxative use, disease duration, and age. ConclusionYYHP can effectively alleviate the primary constipation symptoms in CC patients, improve quality of life, and ameliorate TCM syndromes, with good safety. It also has the advantage of a lower rebound degree after drug withdrawal, and its mechanism may be related to increasing fecal SCFA levels. Long-term abuse of stimulant laxatives may aggravate the severity of CC and prolong the disease course.
2.Analysis of research projects for health management disciplines in medical institutions in Beijing
Yumei HAN ; Yan WANG ; Yu ZHAO ; Chunyu LIU ; Fanfan ZHENG ; Guohong ZHANG
Chinese Journal of Health Management 2025;19(2):134-139
Objective:To analyze the scientific research projects of health management disciplines in medical institutions in Beijing.Methods:This study was an observational study, and data was retrieved through computer between 2014 and 2023 from the scientific research data filling system of health management disciplines in medical institutions in Beijing region, which recorded the project name, project category, scientific research funding, institution, discipline, field, etc.. Excel 2016 was used to analyze the scientific research projects of health management disciplines in medical institutions in the Beijing region.Results:From 2014 to 2023, a total of 1 848 scientific research projects of health management disciplines in medical institutions in the Beijing region were initiated, with research funding of 1 204.775 million yuan. In terms of institutional categorization, they were mainly concentrated on central and municipal medical institutions, and in terms of research fields, there were 1 577 projects in Western medicine, with research funding of 1 133.240 million yuan, and 271 projects in Chinese medicine/combination of Chinese and Western medicine, with research funding of 71.535 million yuan. Cardiovascular diseases ranked first in the sub-discipline of Western medicine, and Chinese internal medicine ranked first in the sub-discipline of Chinese medicine.Conclusions:The scientific research projects of health management disciplines in medical institutions in Beijing are characterized by an imbalance in the distribution of institutions and the classification of funded sub-disciplines. The research innovation of health management in medical institutions needs to strengthen multidisciplinary cooperation and talent cultivation.
3.Essential tremor plus affects disease prognosis: A longitudinal study.
Runcheng HE ; Mingqiang LI ; Xun ZHOU ; Lanqing LIU ; Zhenhua LIU ; Qian XU ; Jifeng GUO ; Xinxiang YAN ; Chunyu WANG ; Hainan ZHANG ; Irene X Y WU ; Beisha TANG ; Sheng ZENG ; Qiying SUN
Chinese Medical Journal 2025;138(1):117-119
4.Finite element modeling of knee joint based on semi-automatic segmentation technology
Feng YAN ; Nan ZHANG ; Qinghua MENG ; Chunyu BAO ; Lixin YE ; Jia YU
Chinese Journal of Tissue Engineering Research 2025;29(33):7055-7062
BACKGROUND:Knee finite element modelling can provide insight into knee mechanics,but its complex image segmentation is more difficult for researchers.With the development of deep learning techniques,deep learning techniques have been widely used in knee joint finite element modelling.OBJECTIVE:To replace the manual segmentation step in finite element modelling of the knee joint by using 3D Swin UNETR in combination with a semi-automatic segmentation technique for statistical shape models.METHODS:Manual(artificial)knee joint finite element model was developed based on MR and semi-automatic knee joint finite element model was developed based on 3D Swin UNETR+statistical shape model segmentation.The same loads and boundary conditions were applied to both models.Validation was performed by calculating the Dice similarity coefficient,mean distance,and comparing the peak equivalent stresses,maximum principal stresses,and maximum shear stresses of the two models.RESULTS AND CONCLUSION:(1)The Dice similarity coefficients of the manual and semi-automatic segmented femur and tibia were more than 98%,and the average distances were less than or equal to(0.35±0.08)mm.(2)With the longitudinal load of 750 N and 10 Nm internal overturning moment applied to the femur tip of both manual and semi-automatic finite element models,the peak equivalent stress,maximum principal stress,and maximum shear stresses of meniscus in manual finite element model were 14.12,18.54,and 7.35 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.22,2.15,and 1.18 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of tibial cartilage were 2.50,1.91,and 1.41 MPa;semi-automatic finite element model of meniscus:peak equivalent force,maximum principal stress,and maximum shear stress were 14.93,18.53,and 7.75 MPa.The peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.26,2.18,and 1.20 MPa;the peak equivalent stress,maximum principal stress,and maximum shear stress of tibial cartilage were 2.60,1.91,and 1.46 MPa.The peak equivalent stress,maximum principal stress,and maximum shear stress of manual and semi-automatic finite element models were basically consistent,with no significant difference(P>0.05).(3)The semi-automatic segmentation technique proposed in this study can replace manual segmentation in creating accurate finite element models of the knee joint.
5.Establishment of a zebrafish map3k15 knockout line using CRISPR/Cas9 gene editing technology
Chunyu JIA ; Yan SHEN ; Gang CHEN ; Ke ZHENG ; Yan QIN ; Xuemei LI
Basic & Clinical Medicine 2025;45(3):290-297
Objective To establish a homozygous zebrafish map3k15 knockout line using CRISPR/Cas9 gene editing technology so to provide an animal model for investigation of potential role of map3k15 in renal diseases.Methods 1)Analyzing the expression pattern of map3k15 in zebrafish;2)Establishing a homozygous map3k15 knockout zebrafish line using CRISPR/Cas9;3)Observing the phenotypic effects of map3k15 deficiency in ze-brafish.Results 1)map3k15 was expressed in the zebrafish pronephros,and map3k15/map3k15 protein was found highly conserved across species;2)map3k15-/-mutant zebrafish model was constructed with+2 bp mutation and+1 bp mutation;3)map3k15 mutant zebrafish exhibited edema in yolk sac,pericardium and head during embryonic development.Conclusions A homozygous zebrafish map3k15 knockout line is successfully developed which may provide an important model for future research on the role of map3k15 in renal development and disease.
6.The application of balloon-dilatation covered stents in renal artery stenosis
Zhigang LIU ; Zepeng SHI ; Peishi YAN ; Guifang TAN ; Chunyu YU ; Yong QIAN
Journal of Interventional Radiology 2025;34(12):1316-1320
Objective To rvaluate the therapeutic efficacy of balloon-dilatation covered stents in the treatment of renal artery stenosis(RAS).Methods The clinical data of 30 patients with RAS,who received intravascular ultrasonography(IVUS)-guided LifeStream balloon-dilatation covered stent implantation at the Affiliated Central Hospital of Dalian University of Technology(Dalian Municipal Central Hospital)of China from August 2022 to December 2023,were retrospectively analyzed.The various parameters of the lumen and the stent were measured,and the performance of the stent was evaluated.Results The minimum original blood vessel diameter below the base of the stenotic segment plaque was 5.40(5.17,5.80)mm and the maximum blood vessel diameter was 6.20(5.80,6.93)mm,which became 6.00(5.80,6.00)mm and 7.90(6.00,8.00)mm respectively after stent release,the differences were statistically significant(both P<0.05).Before stent release the luminal eccentricity index was(14.72±9.37)%,which was(1.54±9.16)%after stent release,the difference was statistically significant P<0.05).The instant stent symmetry after stent release was(82.69±14.61)%,and the stent expansion factor was(99.81±10.70)%.Ideal narrow coverage rate was obtained.During operation,poor stent adhesion occurred in 2 patients and renal artery rupture with bleeding occurred in one patient,which were solved after immediate re-expansion treatment.Spearman's correlation analysis showed that stent symmetry,stent expansion factor,and stent eccentricity index did not linearly correlate with the lumen cross-sectional area stenosis rate and the plaque eccentricity index(all P>0.05).Conclusion For the treatment of RAS,the LifeStream balloon-dilatation covered stent is clinically safe,feasible,and effective with satisfactory immediate clinical outcomes.
7.Finite element modeling of knee joint based on semi-automatic segmentation technology
Feng YAN ; Nan ZHANG ; Qinghua MENG ; Chunyu BAO ; Lixin YE ; Jia YU
Chinese Journal of Tissue Engineering Research 2025;29(33):7055-7062
BACKGROUND:Knee finite element modelling can provide insight into knee mechanics,but its complex image segmentation is more difficult for researchers.With the development of deep learning techniques,deep learning techniques have been widely used in knee joint finite element modelling.OBJECTIVE:To replace the manual segmentation step in finite element modelling of the knee joint by using 3D Swin UNETR in combination with a semi-automatic segmentation technique for statistical shape models.METHODS:Manual(artificial)knee joint finite element model was developed based on MR and semi-automatic knee joint finite element model was developed based on 3D Swin UNETR+statistical shape model segmentation.The same loads and boundary conditions were applied to both models.Validation was performed by calculating the Dice similarity coefficient,mean distance,and comparing the peak equivalent stresses,maximum principal stresses,and maximum shear stresses of the two models.RESULTS AND CONCLUSION:(1)The Dice similarity coefficients of the manual and semi-automatic segmented femur and tibia were more than 98%,and the average distances were less than or equal to(0.35±0.08)mm.(2)With the longitudinal load of 750 N and 10 Nm internal overturning moment applied to the femur tip of both manual and semi-automatic finite element models,the peak equivalent stress,maximum principal stress,and maximum shear stresses of meniscus in manual finite element model were 14.12,18.54,and 7.35 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.22,2.15,and 1.18 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of tibial cartilage were 2.50,1.91,and 1.41 MPa;semi-automatic finite element model of meniscus:peak equivalent force,maximum principal stress,and maximum shear stress were 14.93,18.53,and 7.75 MPa.The peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.26,2.18,and 1.20 MPa;the peak equivalent stress,maximum principal stress,and maximum shear stress of tibial cartilage were 2.60,1.91,and 1.46 MPa.The peak equivalent stress,maximum principal stress,and maximum shear stress of manual and semi-automatic finite element models were basically consistent,with no significant difference(P>0.05).(3)The semi-automatic segmentation technique proposed in this study can replace manual segmentation in creating accurate finite element models of the knee joint.
8.Analysis of research projects for health management disciplines in medical institutions in Beijing
Yumei HAN ; Yan WANG ; Yu ZHAO ; Chunyu LIU ; Fanfan ZHENG ; Guohong ZHANG
Chinese Journal of Health Management 2025;19(2):134-139
Objective:To analyze the scientific research projects of health management disciplines in medical institutions in Beijing.Methods:This study was an observational study, and data was retrieved through computer between 2014 and 2023 from the scientific research data filling system of health management disciplines in medical institutions in Beijing region, which recorded the project name, project category, scientific research funding, institution, discipline, field, etc.. Excel 2016 was used to analyze the scientific research projects of health management disciplines in medical institutions in the Beijing region.Results:From 2014 to 2023, a total of 1 848 scientific research projects of health management disciplines in medical institutions in the Beijing region were initiated, with research funding of 1 204.775 million yuan. In terms of institutional categorization, they were mainly concentrated on central and municipal medical institutions, and in terms of research fields, there were 1 577 projects in Western medicine, with research funding of 1 133.240 million yuan, and 271 projects in Chinese medicine/combination of Chinese and Western medicine, with research funding of 71.535 million yuan. Cardiovascular diseases ranked first in the sub-discipline of Western medicine, and Chinese internal medicine ranked first in the sub-discipline of Chinese medicine.Conclusions:The scientific research projects of health management disciplines in medical institutions in Beijing are characterized by an imbalance in the distribution of institutions and the classification of funded sub-disciplines. The research innovation of health management in medical institutions needs to strengthen multidisciplinary cooperation and talent cultivation.
9.Research progress on the role of endoplasmic reticulum stress in gynaecological diseases
Xinyu HUANG ; Lian RUAN ; Yan WANG ; Chunyu SU ; Mengrong SU ; Wen LANG ; Qizhuang LYU
Immunological Journal 2024;40(4):405-410
Gynecological diseases are one of the important factors that threaten women's reproductive health.Endoplasmic reticulum(ER)stress is a stress response induced by the accumulation of unfolded or misfolded proteins in ER cavity when the female body is in a disease state,and the effects of different stress levels on the female reproductive system and the increase in the risk of female disease will vary greatly.Studies have shown that ER stress is closely related to the occurrence and development of gynecological diseases.Based on the relevant research reports at home and abroad in recent years,this paper summarizes the role of ER stress in several common gynecological diseases to provide new research ideas for preventing,diagnosing,and treating gynecological diseases.
10.Study on the Inference of Knowledge Graph of TCM Ancient Books Based on Deep Reinforcement Learning
Yueyue LIU ; Yan LI ; Chunyu LI ; Xueli LIU
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(6):54-59
Objective To address the issue of missing entity relationship information in the knowledge graph of TCM ancient books;To propose a knowledge reasoning method based on deep reinforcement learning;To improve the completeness of the knowledge graph.Methods Based on the benchmark dataset in the field of knowledge graph and the dataset of TCM ancient books,a deep reinforcement learning inference method was adopted.Combined with knowledge one-step completion and multi hop path search,Python language was used in conjunction with the Neo4j graph database to achieve path to path inference.Results In the knowledge reasoning task dataset,compared with the baseline model,this reasoning method improved the MAP index by about 53.79%.When applied to the knowledge graph of TCM ancient books,its evaluation index reached the highest of 0.776.Conclusion The knowledge reasoning method based on deep reinforcement learning has significant advantages in improving the completeness of the knowledge graph of TCM ancient books,and this method can effectively fill the information gap in the graph of TCM ancient books.

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