1.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.
		                        		
		                        		
		                        		
		                        	
2.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.
		                        		
		                        		
		                        		
		                        	
3.Schistosoma infection, KRAS mutation status, and prognosis of colorectal cancer.
Xinyi LI ; Hongli LIU ; Bo HUANG ; Ming YANG ; Jun FAN ; Jiwei ZHANG ; Mixia WENG ; Zhecheng YAN ; Li LIU ; Kailin CAI ; Xiu NIE ; Xiaona CHANG
Chinese Medical Journal 2024;137(2):235-237
4.HDCGUnet:a neural network for image segmentation of calcium imaging
Wenlong XIA ; Yan WU ; Zhe ZHAO ; Ming FAN ; Haitao WU
Military Medical Sciences 2024;48(2):122-128
		                        		
		                        			
		                        			Objective To build a neural network based on the Unet infrastructure for recognition and segmentation of two-dimensional calcium imaging fluorescence images.Methods The in vivo miniaturized two-photon microscope(mTPM)was used for brain calcium imaging in freely moving mice.The imaging data was motion corrected using the NoRMCorre algorithm and processed using ImageJ software to obtain the original images after correction,and the labels were produced using the Labelme software.The neural network HDCGUnet was built using the original images and labels for training,and optimized to improve the model structure according to the training effect.Finally,the evaluation indexes were selected and compared with those of other models to verify the utility of this model.Results The HDCGUnet model,which was collected and made on our own,performed best in the two-photon calcium imaging dataset compared to other models,and performed well on the BBBC dataset either.Conclusion The HDCGUnet model provides a novel alternative for the recognition and segmentation of two-photon calcium imaging images.
		                        		
		                        		
		                        		
		                        	
5.Finite element analysis of three-dimensional frame screws and minimally invasive plate for fixation of Sanders Ⅲ calcaneal fractures
Dewei KONG ; Chao SONG ; Liang WU ; Ming WU ; Lulu GONG ; Jiaqi WANG ; Hongyuan PAN ; Xinbin FAN ; Yan ZHANG
Chinese Journal of Tissue Engineering Research 2024;33(33):5289-5294
		                        		
		                        			
		                        			BACKGROUND:Satisfactory clinical results have been achieved in the treatment of Sanders Ⅲ calcaneal fractures by percutaneous compression fixation with three-dimensional frame screws.However,whether the stability of minimally invasive plate internal fixation can be achieved in terms of biomechanics,and the advantages and disadvantages after comparison are still unknown. OBJECTIVE:To investigate the fixation effect of different internal fixation devices on Sanders Ⅲ calcaneal fractures by finite element analysis. METHODS:A finite element model of Sanders Ⅲ calcaneal fracture was made based on CT data of a 26-year-old healthy male volunteer.The calcaneal fracture models were fixed by minimally invasive three-dimensional frame screws and minimally invasive Y-plate.The longitudinal loads of 350 and 700 N were applied respectively.The displacement and stress distribution of the two models were analyzed,and the stability of each model was compared. RESULTS AND CONCLUSION:(1)The peak stress of bone block and implant in the minimally invasive three-dimensional frame screw model was significantly lower than that in the minimally invasive minimally invasive plate model.The average stress of bone block and implant in the three-dimensional frame screw model was also significantly lower than that in the minimally invasive plate model.(2)The maximum displacement of the two models was located at the medial side of the articular surface of the posterior talus,and the maximum displacement of the three-dimensional frame screw model was smaller than that of the minimally invasive plate model.(3)The longitudinal displacement between the anterior fragment and the medial fragment of the minimally invasive plate model was smaller,and the transverse and vertical displacement between the medial fragment and the middle fragment of the three-dimensional group screw model was smaller.(4)It is concluded that both of the two internal fixation models can provide satisfactory fixation effect.The three-dimensional frame screw model can provide better transverse and vertical stability with more uniform stress distribution and smaller comprehensive displacement of bone fragments,while the minimally invasive plate has more advantages in maintaining longitudinal stability.
		                        		
		                        		
		                        		
		                        	
6.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
		                        		
		                        			
		                        			Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.
		                        		
		                        		
		                        		
		                        	
		                				7.Analysis of the biosynthesis pathways of phenols in the leaves of Tetrastigma hemsleyanum  regulated by supplemental blue light based on transcriptome sequencing
		                			
		                			Hui-long XU ; Nan YANG ; Yu-yan HONG ; Meng-ting PAN ; Yu-chun GUO ; Shi-ming FAN ; Wen XU
Acta Pharmaceutica Sinica 2024;59(10):2864-2870
		                        		
		                        			
		                        			 Analyze the changes in phenolic components and gene expression profiles of 
		                        		
		                        	
8.Association of serum gamma-glutamyl transferase levels with cardiovascular disease risk in type 2 diabetes patients: a prospective cohort study
Mian WANG ; Xikang FAN ; Jian SU ; Yu QIN ; Chong SHEN ; Yan LU ; Zhongming SUN ; Jie YANG ; Ran TAO ; Jinyi ZHOU ; Ming WU
Chinese Journal of Epidemiology 2024;45(10):1339-1347
		                        		
		                        			
		                        			To investigate the associations of serum gamma-glutamyl transferase (GGT) levels with the risk of cardiovascular disease (CVD) and its subtypes in patients with type 2 diabetes mellitus (T2DM) in Jiangsu Province.Methods:The participants were enrolled in the Comprehensive Research project regarding 'Prevention and Control of Diabetes' in Jiangsu Province. The baseline survey was conducted from 2013 to 2014, and follow-up until December 31, 2021. After excluding the participants who self-reported with chronic liver disease/stroke/coronary heart disease at baseline survey and those with incomplete information on GGT, a total of 16 147 T2DM patients were included in the final analysis. Cox proportional hazard regression models were used to calculate the hazard ratio ( HR) and their 95% CI of GGT for CVD, myocardial infarction, and stroke. Restricted cubic spline models were applied to analyze the dose-response relationship between GGT and the risk of CVD and its subtypes. Results:During the median follow-up time of 8.02 years, 2 860 CVD cases were registered, including 196 cases of myocardial infarction and 2 730 cases of stroke. Multivariate Cox proportional risk regression model indicated that compared to the lowest serum GGT level group, the highest GGT level group had a 24% increased risk of CVD ( HR=1.24, 95% CI: 1.09-1.41) and a 23% increased risk of stroke ( HR=1.23, 95% CI: 1.08-1.40). The restricted cubic spline model showed a nonlinear dose-response relationship between GGT and the risk of CVD, myocardial infarction, and stroke in T2DM patients. Conclusions:High levels of GGT may be associated with an increased risk of cardiovascular disease in T2DM patients, which needs further exploration and validation in future clinical practice.
		                        		
		                        		
		                        		
		                        	
9.Clinical Observation on the Sanjiao Tiaoqi Acupuncture in the Treatment of Post-stroke Respiratory Dysfunction
Ye-Han ZHANG ; Ming TANG ; Fan HUANG ; Ke-Da CAI ; Xiao-Shan HUANG ; Yan-Qing LU ; Tian-Long CHEN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(6):1517-1521
		                        		
		                        			
		                        			Objective To observe the clinical efficacy of Sanjiao Tiaoqi Acupuncture in the treatment of post-stroke respiratory dysfunction.Methods Seventy-two patients with post-stroke respiratory dysfunction were randomly divided into observation group and control group,36 cases in each group.The control group was given routine treatment,and the observation group was treated with Sanjiao Tiaoqi Acupuncture on the basis of the control group,both groups were treated for 14 consecutive days.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of white blood cell count(WBC),C-reactive protein(CRP)and clinical pulmonary infection score(CPIS)were observed before and after treatment.The changes of diaphragmatic activity were compared before and after treatment between the two groups.Results(1)After treatment,the WBC and CRP levels of patients in the two groups were significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving the WBC and CRP levels,with statistically significant differences(P<0.05).(2)After treatment,the CPIS scores of patients in the two groups were significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving CPIS scores,with a statistically significant difference(P<0.05).(3)After treatment,the diaphragm mobility of patients in the two groups was significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving diaphragm mobility,and the difference was statistically significant(P<0.05).(4)The total effective rate was 91.67%(33/36)in the observation group and 75.00%(27/36)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P<0.05).Conclusion Sanjiao Tiaoqi Acupuncture for post-stroke respiratory dysfunction can significantly promote the absorption of inflammatory factors in patients and improve diaphragm mobility,with remarkable clinical efficacy.
		                        		
		                        		
		                        		
		                        	
10.FAN Guan-Jie's Experience in Treating Patients with Obesity Using Medicinal Cluster for Activating Blood and Removing Stasis
Hui-Yan ZENG ; Dan YU ; Sheng-Ling ZHU ; Jin-Ming ZHANG ; Wen-Wen XIE ; Guan-Jie FAN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(8):2184-2188
		                        		
		                        			
		                        			Based on the views of FAN's Eight Dynamic-Static Sequential Methods,Professor FAN Guan-Jie believes that the obesity has the pathological factor of blood stasis in addition to qi deficiency and phlegm-damp.The compatibility of blood-activating and stasis-removing drugs for the treatment of obesity is accorded to the progression of the disease.In the clinic,Crataegi Fructus associated medicinal cluster of activating blood and removing stasis is usually recommended.The medicinal cluster is with Crataegi Fructus as the chief medicinal,and is compatible with drug pairs of Salviae Miltiorrhizae Radix et Rhizoma-Carthami Flos and Moutan Cortex-Paeoniae Radix Rubra.Crataegi Fructus associated medicinal cluster is able to treat qi and blood simultaneously,mainly aimed at removing blood stasis,supplemented by nourishing blood,promoting qi and blood movement,and invigorating spleen and stomach,which has the features of simultaneous dispersing and astringency,and proper combination of static therapy and dynamic therapy,and is suitable for obese patients with blood stasis obstruction in the vessels.
		                        		
		                        		
		                        		
		                        	
            

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