1.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
2.Clinical efficacy analysis of endoscopic resection of superficial non-ampullary duodenal adenoma
Hang YU ; Long RONG ; Weidong NIAN ; Jixin ZHANG ; Yunlong CAI ; Guanyi LIU ; Yuan TIAN ; Yan HE ; Xinyue GUO ; Wenzhu LI
Chinese Journal of Digestive Endoscopy 2025;42(7):552-558
Objective:To evaluate the clinical efficacy of endoscopic treatment of superficial non-ampullary duodenal adenoma.Methods:A retrospective analysis was performed on the clinical data and follow-up information of patients diagnosed with superficial duodenal non-ampullary adenomas via preoperative endoscopy and treated endoscopically at Peking University First Hospital between January 2013 and January 2024. The overall en bloc resection rate, complete resection rate of the lesion, perioperative complications, and recurrence rates were evaluated. Patients were categorized into three groups based on their treatment modality: endoscopic mucosal resection (EMR)( n=46), endoscopic submucosal dissection (ESD)( n=16), and modified ESD (ESD with snare, ESD-S)( n=24). Comparative analyses were conducted to evaluate operative time, en bloc resection rate, and complete resection rate among the three groups. Results:Among 86 patients, the overall en bloc and complete resection rates were 87.2% (75/86) and 86.0% (74/86), respectively. No case of delayed bleeding was observed during the perioperative period. Intraoperative perforation occurred in two patients, both of whom improved following conservative management. Delayed perforation was noted in four patients, and three of them were successfully managed with surgical intervention, while one case was resolved after conservative treatment. During the follow-up period, local recurrence was identified in two patients. Following re-treatment with endoscopy and continuous surveillance, no further recurrence was observed. The operative times for the EMR group, ESD-S group, and ESD group were 4 (1-36) minutes, 25 (5-190) minutes, and 46 (5-150) minutes, respectively. Significant differences were observed in operative times among the three groups ( Hc=49.892, P<0.001). The en bloc resection rates for the EMR, ESD-S, and ESD groups were 80.4% (37/46), 91.7% (22/24), and 100.0% (16/16), respectively. The complete resection rates were 80.4% (37/46), 91.7% (22/24), and 93.8% (15/16) for the respective groups. Conclusion:Endoscopic treatment demonstrates favorable efficacy and safety for superficial non-ampullary duodenal adenoma. In addition to traditional EMR and ESD, ESD-S is also an effective procedure for endoscopic treatment of non-ampullary duodenal adenoma.
3.Finite element analysis of intervention effect of Wuqinxi() Huju() on adolescent idiopathic cervical kyphosis.
Yun-Shan LONG ; Xing LI ; Ya-Jun WEI ; Jun-Cai DENG
China Journal of Orthopaedics and Traumatology 2025;38(9):930-936
OBJECTIVE:
To explore the changes of stress and displacement of intervertebral discs and vertebral bodies in adolescent idiopathic cervical kyphosis models caused by Wuqinxi () Huju() and extension movement after torque loading by finite element analysis.
METHODS:
One healthy male volunteer aged 24-year-old (heighted 178 cm and weighted 65 kg) was selected, software such as Mimics 21.0, Geomagic wrap 2017, SolidWorks 2017, and Ansys Workbench 17.0 were used to simulate adolescent idiopathic cervical spine model, an axial compressive load of 266 N was applied to the center of the end plate on C2 for head physical gravity simulation, the lower part of C7 vertebral body was set as the point of freedom constraint, a torque of 1.5 N·m was applied with C2 as the reference point to simulate the stress on intervertebral discs and vertebral bodies after 45° movement of Wuqinxi () Huju ().
RESULTS:
The normal C2-C7 cervical spine model and adolescent idiopathic cervical kyphosis model were successfully constructed. The maximum stress value of intervertebral disc when the Huju()was raised and extended at 45° and loaded with torque occurred in C3,4 intervertebral disc (3.588 1) MPa. The maximum stress values of each intervertebral disc were C3,4(3.588 1 MPa)>C2,3 (3.467 5 MPa) >C4,5(2.597 7 MPa) >C5,6 (2.378 8 MPa) >C6,7 (1.404 9 MPa), respectively. The maximum stress of C6 vertebral body was 5.842 9 MPa, while the stresses of C2, C3, C4, and C5 vertebral bodies was 4.184 8, 4.437 8, 4.148 7, and 2.852 4 MPa respectively. The overall stress of vertebral body was mainly concentrated in the front of vertebral body.
CONCLUSION
After long-term practice of Huju()movement, the stress concentration in intervertebral discs and the front of vertebral body changes the stress load state of intervertebral discs and vertebral body. As time goes by, intervertebral discs may change, forming a shape that is higher in the front and lower in the back. The vertebral body may also undergo remodeling, resulting in a relative increase in the height of the anterior edge of vertebral body and promoting the recovery of cervical kyphosis to a physiological lordosis state.
Humans
;
Finite Element Analysis
;
Male
;
Cervical Vertebrae/physiopathology*
;
Kyphosis/therapy*
;
Young Adult
;
Adolescent
;
Adult
4.Clinical efficacy of 3 surgical methods for spontaneous supratentorial intracerebral hemorrhage
Ping SONG ; Zhiyang LI ; Pan LEI ; Qiuwei HUA ; Lun GAO ; Hongxiang JIANG ; Long ZHOU ; Hui YE ; Qianxue CHEN ; Qiang CAI
Chinese Journal of Neuromedicine 2025;24(2):154-162
Objective:To investigate the clinical efficacy and major complications (postoperative hemorrhage and cerebral edema) of 3 surgical methods in spontaneous supratentorial intracerebral hemorrhage (SSICH).Methods:A retrospective analysis was performed; 294 patients with SSICH admitted to Department of Neurosurgery, Renmin Hospital of Wuhan University from December 2018 to October 2021 were selected. According to different surgical methods, these patients were divided into neuroendoscopic hematoma removal group ( n=126), stereotactic drilling and drainage group ( n=98), and craniotomy hematoma removal group ( n=70). The surgical efficacy and complications in the 3 groups were analyzed, and the postoperative residual hematoma and edema volumes were quantitatively calculated based on 3D Slicer software. Results:The hematoma evacuation rate in the neuroendoscopic hematoma removal group, stereotactic drilling and drainage group, and craniotomy hematoma removal group was 86.25%±2.27%, 44.45%±3.61%, and 75.45%±2.89%, respectively; Glasgow coma Scale scores at discharge were 13.51±1.28, 11.24±2.17 and 10.25±2.56, respectively; postoperative hemorrhage incidence was 16.1%, 26.0% and 22.9%, respectively; postoperative residual hematoma volume was (18.90±12.33) mL, (25.75±11.43) mL and (22.91±7.93) mL, and postoperative peak edema volume was (37.43±11.07) mL, (39.54±9.43) mL, and (42.26±10.94) mL, respectively; percentage of patients with peak edema on 3-5 days after surgery was 31.0%, 65.3% and 68.6%; the diameter of edema zone was (20.04±2.98) mm, (24.12±5.85) mm and (23.59±3.81) mm, respectively, on 7 days after surgery; percentage of patients with edema resolution was 45.2%, 24.5%, 42.9% and 76.2%, 57.1%, 62.9%, respectively, on 9-11 days and 12-14 days after surgery; these indexes in the neuroendoscopic hematoma removal group were significantly different compared with those in the other two groups ( P<0.05). Conclusion:Compared with stereotactic drilling and drainage or craniotomy hematoma removal, neuroendoscopic surgery can effectively remove the hematoma and reduce the occurrences of postoperative hemorrhage and brain edema.
5.Ablation of macrophage transcriptional factor FoxO1 protects against ischemia-reperfusion injury-induced acute kidney injury.
Yao HE ; Xue YANG ; Chenyu ZHANG ; Min DENG ; Bin TU ; Qian LIU ; Jiaying CAI ; Ying ZHANG ; Li SU ; Zhiwen YANG ; Hongfeng XU ; Zhongyuan ZHENG ; Qun MA ; Xi WANG ; Xuejun LI ; Linlin LI ; Long ZHANG ; Yongzhuo HUANG ; Lu TIE
Acta Pharmaceutica Sinica B 2025;15(6):3107-3124
Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.
6.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.
7.Clinical features and prognosis of acute B lymphoblastic leukemia children carrying a TCF3: : PBX1 fusion gene
Lulu HUANG ; Yunyan HE ; Yang LI ; Danna LIN ; Ning LIAO ; Yayun LING ; Lyuhong XU ; Xinyu LI ; Huirong MAI ; Ying WANG ; Wuqing WAN ; Ying LIU ; Yanlai TANG ; Xiaoli ZHANG ; Chuan TIAN ; Xiaofeng LI ; Qiwen CHEN ; Xingjiang LONG ; Liuhua LIAO ; Qiaoru LI ; Jianling CAI ; Zijun ZHEN ; Zhiguang LI ; Keyan YANG ; Qinlong ZHENG ; Lihua YANG
Chinese Journal of Applied Clinical Pediatrics 2025;40(7):497-502
Objective:To analyze the clinical features and prognosis of acute B lymphoblastic leukemia (B-ALL) children carrying a TCF3: : PBX1 fusion gene and to evaluate the prognostic value of this gene.Methods:Retrospective cohort study.A total of 2 164 B-ALL children aged 0-18 years diagnosed and treated at 19 pediatric centers from October 2016 to June 2022 were enrolled.They were divided into the positive group and the negative group according to whether they carried a TCF3: : PBX1 fusion gene.The clinical characteristics, treatment response, adverse reactions, and prognosis of the 2 groups of patients were analyzed.The rank sum and Kruskal-Wallis tests were used to compare two and more than two groups of numerical variables, respectively.Fisher′s exact test was used to compare categorical variables.Results:Among the 2 164 patients, 116 (5.4%) were TCF3: : PBX1 positive, of which 70 patients were female, accounting for 60.3%.There were 840 female patients in the TCF3: : PBX1-negative group, accounting for 41.0%.There was a significant difference in the ratio of females between the TCF3: : PBX1-positive and TCF3: : PBX1-negative groups ( P<0.001).No significant difference was observed in age of onset between the two groups( P>0.05).The proportion of bone marrow naive cells [54.00 (14.00, 76.50)% vs.29.00 (3.00, 68.00)%], white blood cell counts [25.30 (10.46, 60.94)×10 9/L vs.9.03 (4.38, 30.73)×10 9/L] and hemoglobin counts [82.00(63.00, 101.00) g/L vs.74.00(60.00, 90.00) g/L] in the TCF3: : PBX1-positive group were significantly higher than those in the negative group at the onset (all P<0.05).In terms of treatment response, the proportion of peripheral blood naive cells on Day 8 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group [2.00 (0, 9.00)% vs.0 (0, 2.00)%, P<0.001].The proportion of minimal residual disease <0.1% on Day 15 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group ( P=0.038).There were no significant differences in cumulative recurrence rate, treatment-related mortality (TRM), and overall survival (OS) between the TCF3: : PBX1-positive group and TCF3: : PBX1-negative group (all P>0.05).The cumulative recurrence risk of TCF3: : PBX1-positive patients was 9.646 times higher than that of ETV6: : RUNX1-positive patients with better prognosis( HR=9.646, 95% CI: 1.026-90.700, P=0.047).There were no significant differences in TRM and OS between TCF3: : PBX1-positive and ETV6: : RUNX1-positive patients (all P>0.05).A significant enrichment of PAX5 mutations was detected in TCF3: : PBX1-positive patients.Among the 7 high-risk TCF3: : PBX1-positive patients in a single center, 4 patients had PAX5 mutations, and this proportion was significantly higher than that in other patients ( P<0.001). Conclusions:B-ALL children carrying a TCF3: : PBX1 fusion gene have a high remission rate and good long-term prognosis after intensive chemotherapy.It is suggesting that TCF3: : PBX1-positive B-ALL patients should be rated at intermediate risk to receive intensive chemotherapy.
8.Chinese experts' consensus on principles of preoperative hair removal
Yiping MAO ; Jun ZHENG ; Lei LI ; Deyan YANG ; Bing ZHANG ; Lei YANG ; Wang JIA ; Peng KANG ; Hui JIAO ; Yun YANG ; Qi QI ; Shiqing FENG ; Xiao LONG ; Yuewei ZHANG ; Xiaohui WANG ; Lize WANG ; Yuan WEI ; Jichao ZHOU ; Minghui MAO ; Pengju XIN ; Hongyu TAN ; Dahong ZHANG ; Lianxin LIU ; Lei TAO ; Xietong WANG ; Xiaoning YUAN ; Mang CAI ; Li MU ; Fang DU ; Rongzhu CHEN ; Fengmao ZHAO ; Jiuzuo HUANG ; Mingzi ZHANG ; Jie ZHANG ; Baoguo WANG ; Kun WANG ; Fang LUO ; Jinhua ZHANG ; Nong HE ; Ling LYU ; Zhiyong ZONG
Chinese Journal of Nosocomiology 2025;35(10):1441-1449
To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.
9.Chinese experts' consensus on principles of preoperative hair removal
Yiping MAO ; Jun ZHENG ; Lei LI ; Deyan YANG ; Bing ZHANG ; Lei YANG ; Wang JIA ; Peng KANG ; Hui JIAO ; Yun YANG ; Qi QI ; Shiqing FENG ; Xiao LONG ; Yuewei ZHANG ; Xiaohui WANG ; Lize WANG ; Yuan WEI ; Jichao ZHOU ; Minghui MAO ; Pengju XIN ; Hongyu TAN ; Dahong ZHANG ; Lianxin LIU ; Lei TAO ; Xietong WANG ; Xiaoning YUAN ; Mang CAI ; Li MU ; Fang DU ; Rongzhu CHEN ; Fengmao ZHAO ; Jiuzuo HUANG ; Mingzi ZHANG ; Jie ZHANG ; Baoguo WANG ; Kun WANG ; Fang LUO ; Jinhua ZHANG ; Nong HE ; Ling LYU ; Zhiyong ZONG
Chinese Journal of Nosocomiology 2025;35(10):1441-1449
To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.
10.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

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