1.Study on accumulation of polysaccharide and steroid components in Polyporus umbellatus infected by Armillaria spp.
Ming-shu YANG ; Yi-fei YIN ; Juan CHEN ; Bing LI ; Meng-yan HOU ; Chun-yan LENG ; Yong-mei XING ; Shun-xing GUO
Acta Pharmaceutica Sinica 2025;60(1):232-238
In view of the few studies on the influence of
2.Effects of Exercise Training on The Behaviors and HPA Axis in Autism Spectrum Disorder Rats Through The Gut Microbiota
Xue-Mei CHEN ; Yin-Hua LI ; Jiu-Gen ZHONG ; Zhao-Ming YANG ; Xiao-Hui HOU
Progress in Biochemistry and Biophysics 2025;52(6):1511-1528
ObjectiveThe study explores the influence of voluntary wheel running on the behavioral abnormalities and the activation state of the hypothalamic-pituitary-adrenal (HPA) axis in autism spectrum disorder (ASD) rats through gut microbiota. MethodsSD female rats were selected and administered either400 mg/kg of valproic acid (VPA) solution or an equivalent volume of saline via intraperitoneal injection on day 12.5 of pregnancy. The resulting offspring were divided into 2 groups: the ASD model group (PASD, n=35) and the normal control group (PCON, n=16). Behavioral assessments, including the three-chamber social test, open field test, and Morris water maze, were conducted on postnatal day 23. After behavioral testing, 8 rats from each group (PCON, PASD) were randomly selected for serum analysis using enzyme-linked immunosorbent assay (ELISA) to measure corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) concentration, to evaluate the functional state of the HPA axis in rats. On postnatal day 28, the remaining 8 rats in the PCON group were designated as the control group (CON, n=8), and the remaining 27 rats in the PASD group were randomly divided into 4 groups: ASD non-intervention group (ASD, n=6), ASD exercise group (ASDE, n=8), ASD fecal microbiota transplantation group (FMT, n=8), and ASD sham fecal microbiota transplantation group (sFMT, n=5). The rats in the ASD group and the CON group were kept under standard conditions, while the rats in the ASDE group performed 6 weeks of voluntary wheel running intervention starting on postnatal day 28. The rats in the FMT group were gavaged daily from postnatal day 42 with 1 ml/100 g fresh fecal suspension from ASDE rats which had undergone exercise for 2 weeks, 5 d per week, continuing for 4 weeks. The sFMT group received an equivalent volume of saline. After the interventions were completed, behavioral assessments and HPA axis markers were measured for all groups. ResultsBefore the intervention, the ASD model group exhibited significantly reduced social ability, social novelty preference, spontaneous activity, and exploratory interest, as well as impaired spatial learning, memory, and navigation abilities compared to the normal control group (P<0.05). Serum concentration of corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) in the PASD group were significantly higher than those in the PCON group (P<0.05). Following 6 weeks of voluntary wheel running, the ASDE group showed significant improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, spatial learning, memory, and navigation skills compared to the ASD group (P<0.05), with a significant decrease in serum CORT concentration (P<0.05), and a downward trend in CRH and ACTH concentration. After 4 weeks of fecal microbiota transplantation in the exercise group, the FMT group showed marked improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, as well as spatial learning, memory, and navigation abilities compared to both the ASD and sFMT groups (P<0.05). In addition, serum ACTH and CORT concentration were significantly reduced (P<0.05), and CRH concentration also showed a decreasing trend. ConclusionExercise may improve ASD-related behaviors by suppressing the activation of the HPA axis, with the gut microbiota likely playing a crucial role in this process.
3.Research progress on polysaccharides in the cell wall of Mycobacterium tuberculosis
Ming CAI ; Jing ZHOU ; Sijie YANG ; Shidong ZHAO ; Yan YIN ; Fan CHEN
Journal of Public Health and Preventive Medicine 2025;36(5):134-139
Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis, which is primarily transmitted through the respiratory tract, and remains one of the diseases with the highest mortality rate of single-pathogen infections globally. The cell wall polysaccharides of M. tuberculosis are critical for maintaining bacterial structure, mediating pathogenesis, and enabling immune evasion. Lipoarabinomannan (LAM), a key polysaccharide component, has revolutionized non-invasive diagnostic technologies as a TB biomarker, while polysaccharide-based vaccines have emerged as innovative strategies for TB prevention. This review systematically examines the composition, subcellular distribution, and functional roles of M. tuberculosis cell wall polysaccharides in bacterial metabolism, drug resistance, and immune regulation. A particular emphasis is placed on recent advancements in LAM-based diagnostics and vaccine development. Future studies should utilize advanced technologies to precisely characterize the structural features of TB polysaccharides and explore their biological functions, providing a foundation for targeted diagnostic and therapeutic innovations. This article aims to provide reference for advancing both basic research and clinical applications related to M. tuberculosis.
4.A comparative study of the efficacies of two different surgical methods for the treatment of distal tibial fractures
Jin YIN ; Ming CHEN ; Jia-Fei WANG ; Hong-Bing ZHENG ; Guang-Hui YANG
Journal of Regional Anatomy and Operative Surgery 2024;33(9):759-763
Objective To compare the efficacies of retrograde tibial nailing(RTN)versus minimally invasive percutaneous plate osteosynthesis(MIPPO)in the treatment of distal tibial fractures.Methods A retrospective analysis was conducted on the clinical data of 55 patients with distal tibial fractures who underwent surgery in our hospital.Patients were divided into two groups based on the different surgical methods,patients in the RTN group(n=25)were treated with RTN,and patients in the MIPPO group(n=30)were treated with MIPPO.The surgical parameters(operation time,intraoperative blood loss,intraoperative fluoroscopy times,and success rate of closed reduction),fracture healing time,ankle dorsiflexion range of motion and American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot scores 6 months after operation and at the last follow-up,and the incidence of complications during perioperative period and follow-up were compared between the two groups.Results The operation time,intraoperative blood loss,and intraoperative fluoroscopy times in the RTN group were significantly shorter/less than those in the MIPPO group(P<0.05).The ankle dorsiflexion range of motion and AOFAS ankle-hindfoot score 6 months after operation in the RTN group were significantly greater/higher than those in the MIPPO group(P<0.05).There was no statistically significant difference in the fracture healing time,or ankle dorsiflexion range of motion and AOFAS ankle-hindfoot score at the last follow-up between the two groups(P>0.05).The success rate of closed reduction in the RTN group was 72.00%,which was lower than that of 96.67%in the MIPPO group(P<0.05).The incidence of soft tissue-related complications in the RTN group was signifi-cantly lower than that in the MIPPO group(P<0.05),while there was no statistically significant difference in the overall incidence of complica-tions between the two groups(P>0.05).Conclusion RTN is an effective minimally invasive surgical technique for the treatment of distal tibial fractures,characterized by minimal trauma,low incidence of soft tissue complications,and fast recovery of joint function compared with MIPPO.
5.Results of one-year blood pressure follow-up after proximal and total renal artery denervation
Yi-Wen REN ; Hao ZHOU ; Wei-Jie CHEN ; Hua-An DU ; Bo ZHANG ; Dan LI ; Ming-Yang XIAO ; Zi-Hao WANG ; Zhi-Yu LING ; Yue-Hui YIN
Chinese Journal of Interventional Cardiology 2024;32(6):305-310
Objective To compare the efficacy of renal proximal renal artery denervation(pRDN)and full-length renal artery denervation(fRDN)for treatment of hypertension.Methods Fifty-six hypertensive patients were enrolled and randomly assigned to full-length renal artery denervation group(n=25)and proximal renal artery denervation group(n=31).After the procedure,24-hour ambulatory blood pressure monitoring(24 h-ABPM)at 6 months and office blood pressure at 12 months was recorded for statistical analysis.Results The blood pressure at follow-up reduced significantly in both groups,while there was no significant difference between groups.The baseline office blood pressure in fRDN group and pRDN group was(180±15)/(104±10)mmHg and(180±12)/(103±8)mmHg,respectively,which decreased to(142±9)/(82±7)mmHg and(143±10)/(83±6)mmHg at 12 months postoperatively(P<0.001 within groups and P>0.05 between groups).The baseline 24 h-ABPM in the two groups was(162±13)/(95±8)mmHg and(160±12)/(94±8)mmHg,respectively,which decreased to(142±11)/(83±7)mmHg and(141±8)/(81±7)mmHg at 6 months postoperatively(P<0.001 within groups and P>0.05 between groups).However,there was no significant difference in the reduction of office blood pressure and ambulatory blood pressure between the two groups.No treatment-related adverse events were observed.Conclusions pRDN has similar antihypertensive effect to fRDN.
6.The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen LIANG ; Yu-Ting FANG ; Ting-Chun LIN ; Cheng-Ru YANG ; Chih-Chang CHANG ; Hsuan-Kan CHANG ; Chin-Chu KO ; Tsung-Hsi TU ; Li-Yu FAY ; Jau-Ching WU ; Wen-Cheng HUANG ; Hsiang-Wei HU ; You-Yin CHEN ; Chao-Hung KUO
Neurospine 2024;21(2):665-675
Objective:
This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans.
Methods:
Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness.
Results:
The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements.
Conclusion
Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.
7.A national multi-center prospective study on the perioperative practice of enhanced recovery after surgery for choledochal cysts in children
Ming YUE ; Jiexiong FENG ; Yan′an LI ; Yuanmei LIU ; Zhigang GAO ; Qi CHEN ; Hongwei XI ; Qiang YIN ; Chengji ZHAO ; Yuzuo BAI ; Wanfu LI ; Libin ZHU ; Weibing TANG ; Hongqiang BIAN ; Huizhong NIU ; Zhiheng GUO ; Heying YANG
Chinese Journal of General Surgery 2024;39(11):827-832
Objective:To evaluate the safety and efficacy of enhanced recovery after surgery(ERAS) in the perioperative period of congenital choledochal cysts in children.Methods:This is a multicenter prospective randomized controlled study. The clinical data of 273 pediatric congenital choledochal cysts(CCC) patients who underwent surgery at 14 medical centers with complete follow-up data were collected through the medical data analysis platform. Among them, 123 cases in ERAS group were managed perioperatively in strict accordance with ERAS mode, and 150 cases in conventional group were managed according to traditional mode. The length of hospital stay,time to first farting, time to complete feeding, the incidence of complications, cost and readmission rate within 30 days,stress indexes and liver function were compared between the two groups.Results:Compared with the conventional group, median time to start farting (2.0 d vs. 3.0 d, P<0.001), median time to complete feeding (5.0 d vs. 7.0 d, P<0.001), median postoperative hospitalization time (6.0 d vs. 9.0 d, P<0.001),the median total length of stay(13.0 d vs. 15.0 d, P<0.001) were shorter,the median hospitalization cost (37,000 yuan vs.43,000 yuan P<0.001) was lower, and stress indexes recovered quickly. The incidence of postoperative hospital stay and readimission rate within 30 d were not statistically different between the two groups. Conclusion:It is safe and feasible to implement ERAS for children with CCC in the perioperative period, which can reduce stress response, speed up recovery,and save medical costs.
8.Comparative study on cleansing effect of microbubble toothbrush and conventional pulsed oral irrigator
Ke-An YUE ; Wen-Xia HUANG ; Ming-Fu ZHANG ; Gui-Hua YAN ; Chang-Wei YANG ; Fei-Fei HONG ; Lu YIN
Chinese Medical Equipment Journal 2024;45(9):67-72
Objective To compare the oral cleansing effects of the microbubble toothbrush and the conventional pulsed oral irrigator to provide references for users.Methods Ninety identical 3D-printed resin tooth models were grouped and subjected to repeated experiments,which were divided randomly into five groups including a microbubble toothbrush high-speed gear(GN-H)group,a microbubble toothbrush medium-speed gear(GN-M)group,a microbubble low-speed gear(GN-L)group,a conventional pulsed oral irrigator high-speed gear(W-H)group and a conventional pulsed oral irrigator low-speed gear(W-L)group,with 18 teeth in each group.The cleansing effects of the microbubble toothbrush and the conventional pulsed oral irrigator were evaluated in terms of irrigating strength and abilities for eliminating plaque and debris.Results Both the two types of water flossers were provided with high irrigating strength and effectively reduced plaque and debris on tooth surfaces,and the GN-H,GN-M and GN-L groups behaved better significantly than the remained groups.The order of the five groups was GN-H group>GN-M group>W-H group>GN-L group>W-L group for irrigating strength,GN-H group>GN-M group>GN-L group>W-H group>W-L group for plaque removal,GN-H group>GN-M group>W-H group>GN-L group>W-L group for debris removal,with all the differences being statistically significant(P<0.05).Conclusion Both the two types of water flossers remove plaque and debris effectively,while the microbubble toothbrush gains advantages over the conventional pulsed oral irrigator.[Chinese Medical Equipment Journal,2024,45(9):67-72]
9.The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen LIANG ; Yu-Ting FANG ; Ting-Chun LIN ; Cheng-Ru YANG ; Chih-Chang CHANG ; Hsuan-Kan CHANG ; Chin-Chu KO ; Tsung-Hsi TU ; Li-Yu FAY ; Jau-Ching WU ; Wen-Cheng HUANG ; Hsiang-Wei HU ; You-Yin CHEN ; Chao-Hung KUO
Neurospine 2024;21(2):665-675
Objective:
This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans.
Methods:
Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness.
Results:
The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements.
Conclusion
Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.
10.The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen LIANG ; Yu-Ting FANG ; Ting-Chun LIN ; Cheng-Ru YANG ; Chih-Chang CHANG ; Hsuan-Kan CHANG ; Chin-Chu KO ; Tsung-Hsi TU ; Li-Yu FAY ; Jau-Ching WU ; Wen-Cheng HUANG ; Hsiang-Wei HU ; You-Yin CHEN ; Chao-Hung KUO
Neurospine 2024;21(2):665-675
Objective:
This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans.
Methods:
Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness.
Results:
The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements.
Conclusion
Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.


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