1.Study of Sijunzi Decoction Preventing Disuse Atrophy and Its Mechanism on the Muscle Stem Cells/Myonuclear Domain Pathway
Dan MA ; Linlin ZHANG ; Zhongkang ZHU ; Songnan WANG ; Xudong LIU ; Lingzhi WANG ; Dehong SHAN ; Rui YU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2142-2149
Objective To study the action of Sijunzi decoction preventing disuse atrophy and its mechanism on the pathway of muscle stem cell(MuSC)/myonuclear domain(MND)based on the theory of sedentary behavior damaging muscle.Methods 40 male rats were randomly divided into the normal group,tail hanging group(model group),tail hanging+exercise group(exercise group),tail hanging+distilled water group(DW group),tail hanging+sijunzi decoction(Chinese medicine(CM)group);grip strength of limbs was measured by Grip Strength Meter for rats and mice;the wet weight of quadriceps femoris(QF)was measured by electronic scales;concentrations of actin and myosin were detected by ELISA;the cross section area(CSA)and myonuclear numbers were detected with Image Pro 6.0,and then MNDs were calculated;the expressions of pair box gene 7(Pax7)and myogenic differentiation antigen(MyoD)were detected by immunofluorescence.Results Compared with those in the normal group,grip strength,QF wet weight,the myosin concentration,the CSA and MND in the model and DW groups were all decreased,the numbers of Pax7 were increased significantly;compared with those in the model and distilled water groups,grip strength,QF wet weight,the myosin level,CSA and myonuclear numbers in the exercise group and CM groups were increased,and the numbers of Pax7 and MyoD positive cells were increased,markedly,however the number of Pax7 positive cells in the exercise group was more than that in the CM group significantly.Conclusion Sijunzi decoction can prevent disuse atrophy and its possible mechanism is related to the activation the MuSC/MND pathway.
2.Exploring pathways and evaluating the impact of experimental technology teams empowering undergraduate medical innovation and entrepreneurship training
Ling CHEN ; Yuhan LIU ; Kaifeng YU ; Lingzhi XING ; Beihui REN ; Xiaoyu LI ; Lingfang JIANG
Chinese Journal of Medical Education Research 2025;24(5):632-636
This paper used the Experimental Teaching Management Center as an example to explore the transformation practices of experimental technicians in job responsibilities, team structure, teaching and research capabilities, performance mechanisms, and collaborative education systems. The article systematically analyzed the advantages of the experimental technical team in resource openness, technical support, large instrument management, and multi-team collaboration, and summarized the practical performance through data on project approvals, competition awards, research achievements, and student growth. Additionally, it identified key challenges, including insufficient training, incomplete incentive mechanisms, and the need for improved resource coordination. To address these challenges, the study recommends the continuous enhancement of personnel capacity building, the reform of assessment systems, and the reinforcement of cross-departmental collaboration. This study provides a reference for medical schools to construct the practical path of experimental technical teams participating in the cultivation of innovative and entrepreneurial talents.
3.Exploring pathways and evaluating the impact of experimental technology teams empowering undergraduate medical innovation and entrepreneurship training
Ling CHEN ; Yuhan LIU ; Kaifeng YU ; Lingzhi XING ; Beihui REN ; Xiaoyu LI ; Lingfang JIANG
Chinese Journal of Medical Education Research 2025;24(5):632-636
This paper used the Experimental Teaching Management Center as an example to explore the transformation practices of experimental technicians in job responsibilities, team structure, teaching and research capabilities, performance mechanisms, and collaborative education systems. The article systematically analyzed the advantages of the experimental technical team in resource openness, technical support, large instrument management, and multi-team collaboration, and summarized the practical performance through data on project approvals, competition awards, research achievements, and student growth. Additionally, it identified key challenges, including insufficient training, incomplete incentive mechanisms, and the need for improved resource coordination. To address these challenges, the study recommends the continuous enhancement of personnel capacity building, the reform of assessment systems, and the reinforcement of cross-departmental collaboration. This study provides a reference for medical schools to construct the practical path of experimental technical teams participating in the cultivation of innovative and entrepreneurial talents.
4.Study of Sijunzi Decoction Preventing Disuse Atrophy and Its Mechanism on the Muscle Stem Cells/Myonuclear Domain Pathway
Dan MA ; Linlin ZHANG ; Zhongkang ZHU ; Songnan WANG ; Xudong LIU ; Lingzhi WANG ; Dehong SHAN ; Rui YU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2142-2149
Objective To study the action of Sijunzi decoction preventing disuse atrophy and its mechanism on the pathway of muscle stem cell(MuSC)/myonuclear domain(MND)based on the theory of sedentary behavior damaging muscle.Methods 40 male rats were randomly divided into the normal group,tail hanging group(model group),tail hanging+exercise group(exercise group),tail hanging+distilled water group(DW group),tail hanging+sijunzi decoction(Chinese medicine(CM)group);grip strength of limbs was measured by Grip Strength Meter for rats and mice;the wet weight of quadriceps femoris(QF)was measured by electronic scales;concentrations of actin and myosin were detected by ELISA;the cross section area(CSA)and myonuclear numbers were detected with Image Pro 6.0,and then MNDs were calculated;the expressions of pair box gene 7(Pax7)and myogenic differentiation antigen(MyoD)were detected by immunofluorescence.Results Compared with those in the normal group,grip strength,QF wet weight,the myosin concentration,the CSA and MND in the model and DW groups were all decreased,the numbers of Pax7 were increased significantly;compared with those in the model and distilled water groups,grip strength,QF wet weight,the myosin level,CSA and myonuclear numbers in the exercise group and CM groups were increased,and the numbers of Pax7 and MyoD positive cells were increased,markedly,however the number of Pax7 positive cells in the exercise group was more than that in the CM group significantly.Conclusion Sijunzi decoction can prevent disuse atrophy and its possible mechanism is related to the activation the MuSC/MND pathway.
5.Comparison of multiple machine learning models for predicting the survival of recipients after lung transplantation
Lingzhi SHI ; Yaling LIU ; Haoji YAN ; Zengwei YU ; Senlin HOU ; Mingzhao LIU ; Hang YANG ; Bo WU ; Dong TIAN ; Jingyu CHEN
Organ Transplantation 2025;16(2):264-271
Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC 6 months 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC 1 year 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.
6.Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid.
Qin LIANG ; Lingzhi ZHAO ; Yan LU ; Rui ZHANG ; Qiaolin YANG ; Hui FU ; Haiping LIU ; Lei ZHANG ; Guoduo LI
Chinese Journal of Cellular and Molecular Immunology 2025;41(4):331-338
Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans
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Arthritis, Rheumatoid/metabolism*
;
Machine Learning
;
Male
;
Female
;
Middle Aged
;
Aged
;
Synovial Fluid/immunology*
;
Osteoarthritis, Knee/metabolism*
;
Knee Joint/metabolism*
;
ROC Curve
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Diagnosis, Differential
7.Compatibility of cold herb CP and hot herb AZ in Huanglian Ganjiang decoction alleviates colitis mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming.
Yanyang LI ; Chang LIU ; Yi WANG ; Peiqi CHEN ; Shihua XU ; Yequn WU ; Lingzhi REN ; Yang YU ; Lei YANG
Chinese Journal of Natural Medicines (English Ed.) 2025;23(10):1183-1194
Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals
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Drugs, Chinese Herbal/chemistry*
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Mice
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Macrophages/immunology*
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Glucose/metabolism*
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Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics*
;
Male
;
Mice, Inbred C57BL
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Humans
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Colitis/drug therapy*
;
Disease Models, Animal
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Colitis, Ulcerative/drug therapy*
;
Metabolic Reprogramming
8.Xiaojianzhong Granule inhibits food allergy by regulating gut microbiota and repairing intestinal barrier
Yunjie ZHANG ; Yonglu YU ; Chong WAN ; Ning XU ; Peilun XIAO ; Hai XIE ; Meifang LIU ; Lingzhi XU
Journal of Chongqing Medical University 2025;50(3):322-330
Objective:To investigate the inhibitory effect of Xiaojianzhong Granule(XJZG)on food allergy(FA)and related mecha-nisms in terms of gut microbiota,zonula occluden-1(ZO-1),and Occludin.Methods:A total of 24 specific pathogen-free female BALB/c mice were randomly divided into normal group,model group,prevention group,and treatment group,with 6 mice in each group.The mice in the prevention group were given XJZG by gavage at a standard dose of 5.85 g/kg/day from 3 days before the first challenge till 4 hours before the last challenge;the mice in the treatment group were given XJZG at the double dose for 3 days based on the allergy score;the mice in the other groups were given an equal volume of distilled water by gavage.At the end of the experiment,al-lergy score and anal temperature were measured;flow cytometry was used to measure eosinophils and mast cells in mesenteric lymph nodes(MLNs);toluidine blue staining was performed for mast cells in jejunal tissue;immunohistochemistry was used to measure the expression of ZO-1 and Occludin;16S rRNA sequencing was per-formed to analyze the microbiota in the intestinal content;high-performance liquid chromatography-mass spectrometry was used to measure the content of short-chain fatty acids(SCFAs)in jejunal lavage fluid.Results:Compared with the model group,the prevention group and the treatment group had significant reductions in al-lergy score(P=0.000,P=0.000),anal temperature(P=0.002,P=0.000),the proportion of eosinophils and mast cells in MLNs(P<0.05),and mast cell infiltration in jejunal tissue(P=0.000,P=0.000).Compared with the normal group,the model group had signifi-cant increases in the relative abundances of Erysipelaceae and Turicibacter,while the prevention group and the treatment group had disappearance of Erysipelaceae and Turicibacter and an increase in the relative abundance of Porphyromonadaceae.Compared with the normal group,the model group had a significant reduction in the content of propionate in jejunal lavage fluid(P=0.014),and compared with the model group,the prevention group had a significant increase in the content of propionate in jejunal lavage fluid(P=0.024),as well as a significant increase in the treatment group(P=0.008).In the model group,the expression of ZO-1 was downregulated(P=0.010),and the expression of Occludin was significantly downregulated(P=0.002),while the expression of ZO-1 and Occludin re-turned to normal levels in the prevention group and the treatment group(P=0.001,P=0.013;P=0.025,P=0.015).Conclusion:XJZG can change the composition and abundance of gut microbiota,increase the concentration of SCFAs,upregulate the expression of ZO-1 and Occludin,promote the repair of intestinal barrier,and inhibit food allergy.
9.Overview of the outbreak of varicella in Zhejiang Province from 2019 to 2022 and analysis of associated factors for breakthrough cases
Xuan DENG ; Xinrui LIU ; Yang ZHOU ; Lingzhi SHEN ; Rui YAN ; Xuewen TANG ; Yao ZHU ; Xiaoping XU ; Hanqing HE
Chinese Journal of Preventive Medicine 2024;58(3):315-324
Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.
10.Influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation
Lingzhi SHI ; Heng HUANG ; Mingzhao LIU ; Hang YANG ; Bo WU ; Jin ZHAO ; Haoji YAN ; Yujie ZUO ; Xinyue ZHANG ; Linxi LIU ; Dong TIAN ; Jingyu CHEN
Organ Transplantation 2024;15(2):236-243
Objective To analyze the influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation. Methods Clinical data of 66 patients with airway stenosis requiring clinical interventions after lung transplantation were retrospectively analyzed. Univariate and multivariate Cox’s regression models were adopted to analyze the influencing factors of survival of all patients with airway stenosis and those with early airway stenosis. Kaplan-Meier method was used to calculate the overall survival and delineate the survival curve. Results For 66 patients with airway stenosis, the median airway stenosis-free time was 72 (52,102) d, 27% (18/66) for central airway stenosis and 73% (48/66) for distal airway stenosis. Postoperative mechanical ventilation time [hazard ratio (HR) 1.037, 95% confidence interval (CI) 1.005-1.070, P=0.024] and type of surgery (HR 0.400, 95%CI 0.177-0.903, P=0.027) were correlated with the survival of patients with airway stenosis after lung transplantation. The longer the postoperative mechanical ventilation time, the higher the risk of mortality of the recipients. The overall survival of airway stenosis recipients undergoing bilateral lung transplantation was better than that of their counterparts after single lung transplantation. Subgroup analysis showed that grade 3 primary graft dysfunction (PGD) (HR 4.577, 95%CI 1.439-14.555, P=0.010) and immunosuppressive drugs (HR 0.079, 95%CI 0.022-0.287, P<0.001) were associated with the survival of patients with early airway stenosis after lung transplantation. The overall survival of patients with early airway stenosis after lung transplantation without grade 3 PGD was better compared with that of those with grade 3 PGD. The overall survival of patients with early airway stenosis after lung transplantation treated with tacrolimus was superior to that of their counterparts treated with cyclosporine. Conclusions Long postoperative mechanical ventilation time, single lung transplantation, grade 3 PGD and use of cyclosporine may affect the survival of patients with airway stenosis after lung transplantation.

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