1.Mechanism of Lijin manipulation regulating scar formation in skeletal muscle injury repair in rabbits
Kaiying LI ; Xiaoge WEI ; Fei SONG ; Nan YANG ; Zhenning ZHAO ; Yan WANG ; Jing MU ; Huisheng MA
Chinese Journal of Tissue Engineering Research 2025;29(8):1600-1608
BACKGROUND:Lijin manipulation can promote skeletal muscle repair and treat skeletal muscle injury.However,the formation of fibrosis and scar tissue hyperplasia are closely related to the quality of skeletal muscle repair.To study the regulatory effect of Lijin manipulation on the formation of fibrosis and scar tissue hyperplasia is helpful to explain the related mechanism of Lijin manipulation to improve the repair quality of skeletal muscle injury. OBJECTIVE:To explore the mechanism of Lijin manipulation to improve the repair quality of skeletal muscle injury in rabbits,thereby providing a scientific basis for clinical treatment. METHODS:Forty-five healthy adult Japanese large-ear white rabbits were randomly divided into blank group,model group and Lijin group,with 15 rats in each group.Gastrocnemius strike modeling was performed in both model group and Lijin group.The Lijin group began to intervene with tendon manipulation on the 3rd day after modeling,once a day,and 15 minutes at a time.Five animals in each group were killed on the 7th,14th and 21st days after modeling.The morphology and inflammatory cell count of gastrocnemius were observed by hematoxylin-eosin staining,the collagen fiber amount was observed by Masson staining,the expression of interleukin-6 and interleukin-10 in gastrocnemius was detected by ELISA.The protein and mRNA expressions of paired cassette gene 7,myogenic differentiation factor,myoblastogenin,alpha-actin,transforming growth factor beta 1,and type Ⅰ collagen were detected by western blot and RT-PCR,respectively,and the expression of type Ⅰ collagen protein was detected by immunohistochemistry. RESULTS AND CONCLUSION:Hematoxylin-eosin staining and Masson staining showed that compared with the model group,inflammatory cell infiltration and collagen fiber content decreased in the Lijin group(P<0.01),and the muscle fibers gradually healed.ELISA results showed that compared with the model group,the expression of interleukin-6 in the Lijin group continued to decrease(P<0.05),and the expression of interleukin-10 increased on the 7th day after modeling(P<0.05)and then showed a decreasing trend(P<0.05).Western blot and RT-PCR results showed that compared with the model group,the protein and mRNA expressions of paired cassette gene 7,myogenic differentiation factor,myoblastogenin in the Lijin group were significantly increased on the 14th day after modeling(P<0.05),but decreased on the 21st day(P<0.05);the protein and mRNA expressions of alpha-actin,transforming growth factor beta 1,and type Ⅰ collagen in the Lijin group were significantly decreased compared with those in the model group(P<0.05).Immunohistochemical results showed that the expression of type Ⅰ collagen in the Lijin group was significantly lower than that in the model group(P<0.05).To conclude,Lijin manipulation could improve the repair quality of skeletal muscle injury by inhibiting inflammation,promoting the proliferation and differentiation of muscle satellite cells,and reducing fibrosis.
2.Application of machine learning in prediction of rehabilitation effect after cochlear implantation
Kaiying LAI ; Jiahao LIU ; Xiaoyi ZUO ; Maojin LIANG ; Suiping WANG
Journal of Audiology and Speech Pathology 2025;33(2):182-187
Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.
3.The value of Gd-EOB-DTPA enhanced MRI radiomics and signal intensity in hepatobiliary phase in predicting the degree of pathological differentiation of hepatocellular carcinoma
Kaiying WU ; Yixing YU ; Zhu ZHU ; Dabo XU ; Sunxian DAI ; Wei FANG ; Xinyu LU ; Ximing WANG ; Chunhong HU ; Wenhao GU
Journal of Practical Radiology 2025;41(7):1158-1162
Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI radiomics and signal intensity in hepatobiliary phase(HBP)in predicting the pathological differentiation degree of hep-atocellular carcinoma(HCC).Methods The clinical and imaging data of 224 patients pathologically confirmed with HCC were col-lected.All patients were randomly divided into test group(68 cases)and training group(156 cases)at a ratio of 7︰3.The ITK-SNAP software was used to delineate region of interest(ROI)on arterial phase(AP),portal venous phase(PVP)and HBP,the radiomics features of the tumor tissues were extracted and the radiomics models were established using the FAE software.Logistic regression analysis was used to determine the clinical independent predictors associated with the pathological differentiation degree of HCC and to construct clinical model and clinical-radiomics model.Receiver operating characteristic(ROC)curve was plotted for each model and the area under the curve(AUC)was calculated to compare the diagnostic efficacy of the models.Results Age,alpha-fetoprotein(AFP),and r-glutamyltransferase(r-GT)were independent risk factors for predicting the degree of pathological differentiation of HCC.The AUC of the clinical-radiomics model in the training group and test group were 0.825 and 0.779,respectively,which were higher than those of the radiomics model(0.812 and 0.771)and the clinical model(0.687 and 0.666).Conclusion Gd-EOB-DTPA enhanced MRI radiomics have certain value in predicting the degree of pathological differentiation of HCC,while the predictive value of the signal intensity on HBP and the signal intensity ratio(SIR)on HBP is limited.
4.Lijin manipulation alleviates fibrosis of injured skeletal muscle in rabbits
Kaiying LI ; Xiaoge WEI ; Zhenning ZHAO ; Fei SONG ; Nan YANG ; Yan WANG ; Jing MU ; Huisheng MA
Chinese Journal of Tissue Engineering Research 2025;29(14):2914-2921
BACKGROUND:Lijin manipulation can reduce fibrosis scar hyperplasia and promote skeletal muscle repair.However,improper activation of the Wnt/β-catenin signaling pathway can aggravate the fibrosis of injured skeletal muscle and adversely affect the repair process of skeletal muscle.To study the regulatory effect of Lijin manipulation on the Wnt/β-catenin signaling pathway is conducive to elucidate the related mechanisms of Lijin manipulation in reducing fibrosis scar hyperplasia and promoting skeletal muscle injury repair.OBJECTIVE:To explore the mechanism of Lijin manipulation in promoting the repair of skeletal muscle injury in rabbits.METHODS:Forty-five healthy adult Japanese white rabbits were randomly divided into blank group,model group and Lijin group with 15 rabbits in each group.Gastrocnemius muscle percussion modeling was performed in both model group and Lijin group.Lijin manipulation was performed in the Lijin group on the 3rd day after modeling,once a day,15 minutes once.Five animals in each group were selected and killed on the 7th,14th and 21st days after modeling.The general morphological structure of gastrocnemius was observed by hematoxylin-eosin staining and the content of collagen fiber was observed by Masson staining.Western blot was used to detect the protein expression of Wnt3a,β-catenin,GSK3β,p-GSK3β,TCF,type I collagen and type III collagen in gastrocnemius muscle,and RT-PCR was used to detect the mRNA expression of Wnt3a,β-catenin and TCF.The expression of β-catenin was detected by immunofluorescence,and the expression of type I collagen and type III collagen was detected by immunohistochemistry.RESULTS AND CONCLUSION:The results of hematoxylin-eosin staining and Masson staining showed that compared with the model group,inflammatory cell infiltration and collagen fiber amount decreased in the Lijin group(P<0.001),and muscle fibers gradually healed.Western blot results showed that compared with the model group,the protein expression levels of Wnt3a,β-catenin,TCF,type I collagen and type III collagen were significantly decreased in the Lijin group at all observation time points(P<0.05),while the ratio of P-GSK3β/GSK3β was significantly increased in the Lijin group at all observation time points compared with the model group(P<0.05).RT-PCR results showed that compared with the model group,the mRNA expression levels of Wnt3a,β-catenin and TCF were significantly decreased in the Lijin group at all observation time points(P<0.001).Immunofluorescence results showed that compared with the model group,the fluorescence intensity of β-catenin expression in the Lijin group was significantly decreased at each observation time point and gradually became similar to that in the blank group(P<0.001).Immunohistochemical results showed that the expression levels of type I collagen and type III collagen in the Lijin group were significantly lower than those in the model group(P<0.01).To conclude,Lijin manipulation could inhibit the abnormal activation of the Wnt/β-catenin signaling pathway,reduce fibrotic scar hyperplasia,and promote the repair of injured skeletal muscle.
5.Regulatory mechanism of Lijin manipulation on inflammation and apoptosis in rabbits undergoing skeletal muscle injury repair
Kaiying LI ; Xiaoge WEI ; Fei SONG ; Zhenning ZHAO ; Nan YANG ; Hongyu LI ; Lili ZHAO ; Yan WANG ; Jing MU ; Huisheng MA
Chinese Journal of Tissue Engineering Research 2025;29(20):4215-4222
BACKGROUND:Excessive apoptosis in skeletal muscle cells will destroy the dynamic balance of the number of myocytes,leading to pathological injury of skeletal muscle.Lijin manipulation is effective in treating skeletal muscle injury,but whether it can inhibit apoptosis and promote the repair of skeletal muscle injury is unknown.OBJECTIVE:To explore the mechanism by which Lijin manipulation reduces inflammation and apoptosis during the repair of skeletal muscle injury in rabbits.METHODS:Forty-five healthy adult Japanese white rabbits were randomly divided into blank group,model group and Lijin group(n=15 per group).No intervention was performed in the blank group.Gastrocnemius muscle percussion molding was performed in both the model group and Lijin group.After modeling,the model group was not treated,while the Lijin manipulation(Stroking,kneading,and rubbing)was performed in the Lijin group on the 3rd day,once a day,15 min/time.Sampling in each group was performed on the 7th,14th and 21st days after modeling.The general morphological structure of gastrocnemius was observed by hematoxylin-eosin staining.The ultrastructure of gastrocnemius muscle was observed by transmission electron microscopy.Apoptosis of gastrocnemius cells was observed by TUNEL staining.The expressions of interleukin-1β,interleukin-6 and interleukin-10 in gastrocnemius muscle were detected by ELISA.The protein expressions of BAX,BCL-2 and Caspase3 in gastrocnemius muscle were detected by western blot.The mRNA expression of BAX and BCL-2 was detected by RT-PCR.RESULTS AND CONCLUSION:(1)Hematoxylin-eosin staining results showed that compared with the model group,inflammatory cells decreased in number,myocyte amount increased,and muscle tissue gradually healed in the Lijin group at each observation point.(2)The results of transmission electron microscopy showed that compared with the model group,the arrangement of muscle fibers at each observation point in the Lijin group was gradually orderly,mitochondria were gradually complete,Z-line arrangement was gradually regular,and free ribosomes were gathered.(3)TUNEL staining results showed that compared with the model group,apoptosis rate in the Lijin group was gradually decreased at all observation points(P<0.05).(4)ELISA results showed that compared with the model group,the expression of interleukin-1β and interleukin-6 in the Lijin group continued to decrease(P<0.05),while the expression of interleukin-10 increased on the 7th day after modeling,and then showed a downward trend(P<0.05).(5)Western blot results showed that compared with the model group,the expression of BCL-2 protein/BAX protein in the Lijin group was significantly increased at each observational point(P<0.05).The protein expression of Caspase3 decreased significantly(P<0.001),and was gradually similar to that of the blank group.(6)RT-PCR results showed that compared with the model group,the mRNA expression level of BCL-2/BAX in the Lijin group was significantly higher at each observational point(P<0.05).To conclude,Lijin manipulation can inhibit inflammation,reduce apoptosis,and promote the repair of injured skeletal muscle.
6.Performance evaluation of AI-enabled blood cell morphology system for peripheral blood smear and application in grading screening network of primary medical care system
Xiaobing SUN ; Gusheng TANG ; Kaiying YUAN ; Duanqin DIAO ; Jun HU ; Xiaoyuan SHI ; Hao YUAN ; Anmei WANG ; Yan FANG ; Liqin JIANG ; Xueliang QIN ; Chun XU ; Qi HOU ; Jiong WU
Chinese Journal of Clinical Laboratory Science 2025;43(4):246-252
Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86%,95.16%,and 95.10%,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90%.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59%,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24%,53.39%,and 62.37%for junior technicians,and to 92.06%,83.24%,and 83.12%for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46%,10.61%,and 3.71%for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13%)of red blood cell diseases,5 cases(0.16%)of platelet diseases,2 343 cases(76.90%)of infection-related disea-ses,and 28 cases(0.92%)of malignant hematological diseases.In addition,332 cases(10.90%)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.
7.Application of machine learning in prediction of rehabilitation effect after cochlear implantation
Kaiying LAI ; Jiahao LIU ; Xiaoyi ZUO ; Maojin LIANG ; Suiping WANG
Journal of Audiology and Speech Pathology 2025;33(2):182-187
Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.
8.The value of Gd-EOB-DTPA enhanced MRI radiomics and signal intensity in hepatobiliary phase in predicting the degree of pathological differentiation of hepatocellular carcinoma
Kaiying WU ; Yixing YU ; Zhu ZHU ; Dabo XU ; Sunxian DAI ; Wei FANG ; Xinyu LU ; Ximing WANG ; Chunhong HU ; Wenhao GU
Journal of Practical Radiology 2025;41(7):1158-1162
Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI radiomics and signal intensity in hepatobiliary phase(HBP)in predicting the pathological differentiation degree of hep-atocellular carcinoma(HCC).Methods The clinical and imaging data of 224 patients pathologically confirmed with HCC were col-lected.All patients were randomly divided into test group(68 cases)and training group(156 cases)at a ratio of 7︰3.The ITK-SNAP software was used to delineate region of interest(ROI)on arterial phase(AP),portal venous phase(PVP)and HBP,the radiomics features of the tumor tissues were extracted and the radiomics models were established using the FAE software.Logistic regression analysis was used to determine the clinical independent predictors associated with the pathological differentiation degree of HCC and to construct clinical model and clinical-radiomics model.Receiver operating characteristic(ROC)curve was plotted for each model and the area under the curve(AUC)was calculated to compare the diagnostic efficacy of the models.Results Age,alpha-fetoprotein(AFP),and r-glutamyltransferase(r-GT)were independent risk factors for predicting the degree of pathological differentiation of HCC.The AUC of the clinical-radiomics model in the training group and test group were 0.825 and 0.779,respectively,which were higher than those of the radiomics model(0.812 and 0.771)and the clinical model(0.687 and 0.666).Conclusion Gd-EOB-DTPA enhanced MRI radiomics have certain value in predicting the degree of pathological differentiation of HCC,while the predictive value of the signal intensity on HBP and the signal intensity ratio(SIR)on HBP is limited.
9.Performance evaluation of AI-enabled blood cell morphology system for peripheral blood smear and application in grading screening network of primary medical care system
Xiaobing SUN ; Gusheng TANG ; Kaiying YUAN ; Duanqin DIAO ; Jun HU ; Xiaoyuan SHI ; Hao YUAN ; Anmei WANG ; Yan FANG ; Liqin JIANG ; Xueliang QIN ; Chun XU ; Qi HOU ; Jiong WU
Chinese Journal of Clinical Laboratory Science 2025;43(4):246-252
Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86%,95.16%,and 95.10%,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90%.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59%,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24%,53.39%,and 62.37%for junior technicians,and to 92.06%,83.24%,and 83.12%for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46%,10.61%,and 3.71%for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13%)of red blood cell diseases,5 cases(0.16%)of platelet diseases,2 343 cases(76.90%)of infection-related disea-ses,and 28 cases(0.92%)of malignant hematological diseases.In addition,332 cases(10.90%)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.
10.Lijin manipulation alleviates fibrosis of injured skeletal muscle in rabbits
Kaiying LI ; Xiaoge WEI ; Zhenning ZHAO ; Fei SONG ; Nan YANG ; Yan WANG ; Jing MU ; Huisheng MA
Chinese Journal of Tissue Engineering Research 2025;29(14):2914-2921
BACKGROUND:Lijin manipulation can reduce fibrosis scar hyperplasia and promote skeletal muscle repair.However,improper activation of the Wnt/β-catenin signaling pathway can aggravate the fibrosis of injured skeletal muscle and adversely affect the repair process of skeletal muscle.To study the regulatory effect of Lijin manipulation on the Wnt/β-catenin signaling pathway is conducive to elucidate the related mechanisms of Lijin manipulation in reducing fibrosis scar hyperplasia and promoting skeletal muscle injury repair.OBJECTIVE:To explore the mechanism of Lijin manipulation in promoting the repair of skeletal muscle injury in rabbits.METHODS:Forty-five healthy adult Japanese white rabbits were randomly divided into blank group,model group and Lijin group with 15 rabbits in each group.Gastrocnemius muscle percussion modeling was performed in both model group and Lijin group.Lijin manipulation was performed in the Lijin group on the 3rd day after modeling,once a day,15 minutes once.Five animals in each group were selected and killed on the 7th,14th and 21st days after modeling.The general morphological structure of gastrocnemius was observed by hematoxylin-eosin staining and the content of collagen fiber was observed by Masson staining.Western blot was used to detect the protein expression of Wnt3a,β-catenin,GSK3β,p-GSK3β,TCF,type I collagen and type III collagen in gastrocnemius muscle,and RT-PCR was used to detect the mRNA expression of Wnt3a,β-catenin and TCF.The expression of β-catenin was detected by immunofluorescence,and the expression of type I collagen and type III collagen was detected by immunohistochemistry.RESULTS AND CONCLUSION:The results of hematoxylin-eosin staining and Masson staining showed that compared with the model group,inflammatory cell infiltration and collagen fiber amount decreased in the Lijin group(P<0.001),and muscle fibers gradually healed.Western blot results showed that compared with the model group,the protein expression levels of Wnt3a,β-catenin,TCF,type I collagen and type III collagen were significantly decreased in the Lijin group at all observation time points(P<0.05),while the ratio of P-GSK3β/GSK3β was significantly increased in the Lijin group at all observation time points compared with the model group(P<0.05).RT-PCR results showed that compared with the model group,the mRNA expression levels of Wnt3a,β-catenin and TCF were significantly decreased in the Lijin group at all observation time points(P<0.001).Immunofluorescence results showed that compared with the model group,the fluorescence intensity of β-catenin expression in the Lijin group was significantly decreased at each observation time point and gradually became similar to that in the blank group(P<0.001).Immunohistochemical results showed that the expression levels of type I collagen and type III collagen in the Lijin group were significantly lower than those in the model group(P<0.01).To conclude,Lijin manipulation could inhibit the abnormal activation of the Wnt/β-catenin signaling pathway,reduce fibrotic scar hyperplasia,and promote the repair of injured skeletal muscle.

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