1.Intra-articular injection of different concentrations of silicon-based bioceramics in treatment of knee osteoarthritis in rats
Jingwen GUO ; Qingwei WANG ; Zijun HE ; Zihang HU ; Zhi CHEN ; Rong ZHU ; Yuming WANG ; Wenfei LIU ; Qinglu LUO
Chinese Journal of Tissue Engineering Research 2026;30(2):288-295
BACKGROUND:Currently,treatment method for knee osteoarthritis includes oral medicine,joint cavity drug injection,and physiotherapy,but the curative effect is limited.Existing studies have confirmed that silicon-based bioceramics can promote cartilage and subchondral bone repair and vascular regeneration.OBJECTIVE:To explore the effect of different concentrations of silicon-based bioceramics injected into the knee joint cavity in the treatment of knee osteoarthritis in rats.METHODS:Silicon-based bioceramics-calcium silicate was prepared.Twenty-five SD rats were randomly divided into five groups,with five rats in each group.The healthy group did not receive any intervention,and the modeling group,low-dose calcium silicate group,high-dose calcium silicate group,and saline group used anterior cruciate ligament transection to establish bilateral knee osteoarthritis models.Four weeks after modeling,0.05 mL of 50 and 100 mg/mL calcium silicate solution were injected into the knee joint cavity in the low-dose calcium silicate group and high-dose calcium silicate group,respectively,and 0.05 mL of saline was injected into the knee joint cavity in the saline group,once a week for 4 consecutive weeks.In the fifth week of administration,bilateral knee joint Micro-CT detection,knee joint cartilage hematoxylin-eosin staining,and modified Mankin score were performed.RESULTS AND CONCLUSION:(1)Micro-CT quantitative analysis showed that compared with the healthy group,the volume fraction and number of trabeculae of the medial tibial plateau in the modeling group decreased(P<0.05),and the separation of trabeculae increased(P<0.05).Compared with the modeling group,the volume fraction and number of trabeculae of the medial tibial plateau in the low-dose calcium silicate group and the saline group increased(P<0.05),and the separation of trabeculae decreased(P<0.05).(2)Hematoxylin-eosin staining showed that the cartilage surface of the healthy group and the low-dose calcium silicate group was relatively smooth and flat,the chondrocytes were evenly distributed,without clustered chondrocytes,the tide line was complete,and the staining was uniform;the cartilage surface of the high-dose calcium silicate group was slightly uneven,the middle and deep cells were disordered,with a small number of clustered chondrocytes,the tide line was discontinuous,and the staining was uneven;the cartilage surface of the saline group and the modeling group was obviously rough,the cells were disordered,with a large number of clustered chondrocytes,the tide line disappeared,and the staining was uneven.The modified Mankin score of the healthy group was lower than that of the high-dose calcium silicate group,the saline group,and the modeling group(P<0.05).The modified Mankin score of the high-dose calcium silicate group and the low-dose calcium silicate group was lower than that of the saline group and the modeling group(P<0.05).(3)The results show that calcium silicate knee joint injection has a certain effect in the treatment of knee osteoarthritis.Compared with 100 mg/mL calcium silicate solution,50 mg/mL calcium silicate solution can promote the recovery of subchondral bone and cartilage.
2.Intra-articular injection of different concentrations of silicon-based bioceramics in treatment of knee osteoarthritis in rats
Jingwen GUO ; Qingwei WANG ; Zijun HE ; Zihang HU ; Zhi CHEN ; Rong ZHU ; Yuming WANG ; Wenfei LIU ; Qinglu LUO
Chinese Journal of Tissue Engineering Research 2026;30(2):288-295
BACKGROUND:Currently,treatment method for knee osteoarthritis includes oral medicine,joint cavity drug injection,and physiotherapy,but the curative effect is limited.Existing studies have confirmed that silicon-based bioceramics can promote cartilage and subchondral bone repair and vascular regeneration.OBJECTIVE:To explore the effect of different concentrations of silicon-based bioceramics injected into the knee joint cavity in the treatment of knee osteoarthritis in rats.METHODS:Silicon-based bioceramics-calcium silicate was prepared.Twenty-five SD rats were randomly divided into five groups,with five rats in each group.The healthy group did not receive any intervention,and the modeling group,low-dose calcium silicate group,high-dose calcium silicate group,and saline group used anterior cruciate ligament transection to establish bilateral knee osteoarthritis models.Four weeks after modeling,0.05 mL of 50 and 100 mg/mL calcium silicate solution were injected into the knee joint cavity in the low-dose calcium silicate group and high-dose calcium silicate group,respectively,and 0.05 mL of saline was injected into the knee joint cavity in the saline group,once a week for 4 consecutive weeks.In the fifth week of administration,bilateral knee joint Micro-CT detection,knee joint cartilage hematoxylin-eosin staining,and modified Mankin score were performed.RESULTS AND CONCLUSION:(1)Micro-CT quantitative analysis showed that compared with the healthy group,the volume fraction and number of trabeculae of the medial tibial plateau in the modeling group decreased(P<0.05),and the separation of trabeculae increased(P<0.05).Compared with the modeling group,the volume fraction and number of trabeculae of the medial tibial plateau in the low-dose calcium silicate group and the saline group increased(P<0.05),and the separation of trabeculae decreased(P<0.05).(2)Hematoxylin-eosin staining showed that the cartilage surface of the healthy group and the low-dose calcium silicate group was relatively smooth and flat,the chondrocytes were evenly distributed,without clustered chondrocytes,the tide line was complete,and the staining was uniform;the cartilage surface of the high-dose calcium silicate group was slightly uneven,the middle and deep cells were disordered,with a small number of clustered chondrocytes,the tide line was discontinuous,and the staining was uneven;the cartilage surface of the saline group and the modeling group was obviously rough,the cells were disordered,with a large number of clustered chondrocytes,the tide line disappeared,and the staining was uneven.The modified Mankin score of the healthy group was lower than that of the high-dose calcium silicate group,the saline group,and the modeling group(P<0.05).The modified Mankin score of the high-dose calcium silicate group and the low-dose calcium silicate group was lower than that of the saline group and the modeling group(P<0.05).(3)The results show that calcium silicate knee joint injection has a certain effect in the treatment of knee osteoarthritis.Compared with 100 mg/mL calcium silicate solution,50 mg/mL calcium silicate solution can promote the recovery of subchondral bone and cartilage.
3.Consideration of Health Economics Evidence in Clinical Practice Guidelines: Methods and Steps
Dongrui PENG ; Qi ZHOU ; Xufei LUO ; Zijun WANG ; Hui LIU ; Junxian ZHAO ; Jinghong HUANG ; Hongyu HU ; Xin XING ; Jing WU ; Shitong XIE ; Xiaohui WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(3):862-870
Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.
4.Establishment and related factors analysis of extrahepatic cholangiocarcinoma organoids
Zijun GONG ; Jiaying LIU ; Kun FAN ; Sheng SHEN ; Wenqing QIU ; Xuanming LUO ; Houbao LIU
Chinese Journal of Clinical Medicine 2025;32(4):604-609
Objective To establish a cell bank of extrahepatic cholangiocarcinoma (ECC)-derived organoids and investigate the key factors influencing the organoids generation. Methods The tumor samples from patients with portal cholangiocarcinoma (pCCA) and distal cholangiocarcinoma (dCCA) were used to isolate cells, and these cells were cultured using three-dimensional (3D) technique to establish ECC organoids. Histological characteristics of the organoids were evaluated and identified through hematoxylin-eosin (HE) and immunohistochemistry stainings. The success rates of organoids generation from different tumor types were compared. And clinical characteristics of patients between successful and failure culture groups were compared. Results The success rates of organoids establishment from pCCA and dCCA were all low, with 42.4% (14/33), 51.9% (14/27), respectively. The tumor was larger in successful group than that in failure group (P<0.001); there was no statistical difference in tumor differentiation status, microvascular invasion, and perineural invasion between the two groups. Conclusions The successful rate of ECC-derived organoids establishment is low, and larger tumor has higher successful culture rate.
5.Development and validation of an oral frailty risk prediction model for lung cancer patients undergoing chemotherapy
Lijuan LIU ; Jianqin LIN ; Lei YE ; Xiaohui JIANG ; Haiyu LIU ; Yanan HANG ; Sijing PENG ; Zijun DU
Modern Clinical Nursing 2025;24(9):17-26
Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.
6.Anaphase-promoting complex subunit 10 promotes hepatocellular carcinoma progression through regulation of the PI3K-AKT-mTOR signaling pathway
Zijun ZHU ; Yife QIAN ; Qianyu LI ; Songling LI ; Wenli QIN ; Yanfeng LIU
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(9):1171-1182
Objective·To explore the biological functions and underlying mechanisms of anaphase-promoting complex subunit 10(ANAPC10)in the development and progression of liver hepatocellular carcinoma(LIHC,often abbreviated as HCC).Methods·By integrating data from The Cancer Genome Atlas(TCGA)_LIHC,the hepatitis B virus-related subgroup(HBV)of the China Hepatocellular Carcinoma Genome Project(CHCC),and the Gene Expression Omnibus(GEO),the expression pattern of ANAPC10 in HCC was analyzed.Western blotting and quantitative real-time PCR(q-PCR)were used to verify the findings in HCC cell lines.shRNA-mediated knockdown of ANAPC10 was performed in MHCC-97H and SNU-398 cell lines to investigate the effect of ANAPC10 depletion on the in vitro proliferation of HCC cells.An orthotopic liver cancer model with Anapc10 knockout was constructed using the hydrodynamic tail-vein injection technique in mice to further confirm the impact of ANAPC10 deficiency in the liver on the development and progression of HCC.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed on the RNA-sequencing data from TCGA_LIHC and CHCC_HBV.Results·ANAPC10 was highly expressed in tumor tissues,and its expression level was closely related to patient survival.Downregulation of ANAPC10 in vitro and in vivo effectively inhibited HCC progression.ANAPC10 mainly reprogrammed the metabolism of tumors by affecting the PI3K-AKT-mTOR pathway.In the tumor tissues of the orthotopic liver cancer mouse model in the Anapc10 knockout group,the phosphorylation levels of Akt and S6k were decreased,and changes in the key downstream lipid metabolism proteins Fasn and Scd1 were verified.Conclusion·ANAPC10 is highly expressed in HCC and is positively correlated with poor prognosis.It promotes HCC occurrence and progression by activating the PI3K-AKT-mTOR signaling pathway and enhancing lipid metabolism reprogramming,thereby promoting tumor cell proliferation.These findings expand the understanding of ANAPC10 in tumor progression and suggest potential therapeutic targets for HCC.
7.Function and mechanism of suppressor of zeste 12 in hepatocellular carcinoma
Qianyu LI ; Yifei QIAN ; Songling LI ; Zijun ZHU ; Wenli QIN ; Yanfeng LIU ; Bijun QIU
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(9):1138-1148
Objective·To explore the function and potential mechanism of suppressor of zeste 12(SUZ12)in hepatocellular carcinoma(HCC).Methods·The expression of SUZ12 in HCC patients was analyzed using R language in liver cancer datasets,and relevant survival curves were drawn.Stable knockdown of SUZ12 was established in the liver cancer cell lines LM3 and Huh7.The knockdown efficiency of SUZ12 was assessed using quantitative real-time PCR(qPCR)and Western blotting.Cell proliferation ability was assessed using CCK-8 assay and colony formation assay.Using the hydrodynamic tail vein injection(HTVI)method,Suz12 was knocked out in the livers of fully immunocompetent mice to explore its tumorigenic function in vivo.The molecular mechanism of SUZ12 regulating HCC was explored using The Cancer Genome Atlas(TCGA)database.R language was used to analyze the relationship between SUZ12 and the expression of cancer stem cell(CSC)markers as well as key glycolysis-related genes.Findings were validated in liver cancer cell lines and mouse tumor tissues.Results·The expression of SUZ12 in liver cancer tissues was higher than in adjacent non-tumor tissues,and its expression increased with higher tumor stage.HCC patients with high SUZ12 expression had poorer prognoses.In LM3 and Huh7 liver cancer cell lines,stable knockdown of SUZ12 reduced cell proliferation ability.In the de novo MYC/Trp53-/-mouse liver cancer model,tumor nodule number and size,and tumor burden in liver tissue were reduced after endogenous knockout of Suz12.TCGA analysis showed that high SUZ12 expression in HCC was enriched in multiple tumor proliferation-and metabolism-related pathways.The expression of SUZ12 was positively correlated with CSC markers and key genes in glycolysis pathway.The mRNA levels of CSC markers and key genes in glycolysis pathway were decreased in liver cancer cell lines with stable SUZ12 knockdown and Suz12 knockout mouse HCC tissues.Conclusion·The expression of SUZ12 is significantly increased in HCC patients and is associated with poor prognosis.Stable knockdown of SUZ12 weakens the proliferative ability of liver cancer cells.Knockout of Suz12 in mice in vivo can suppress the occurrence and development of HCC.The high expression of SUZ12 maintains the CSC pool,induces metabolic reprogramming,and promotes the occurrence and progression of HCC.SUZ12 can serve as a potential biomarker for poor prognosis and a novel target for potential therapeutic intervention in HCC.
8.Development and validation of an oral frailty risk prediction model for lung cancer patients undergoing chemotherapy
Lijuan LIU ; Jianqin LIN ; Lei YE ; Xiaohui JIANG ; Haiyu LIU ; Yanan HANG ; Sijing PENG ; Zijun DU
Modern Clinical Nursing 2025;24(9):17-26
Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.
9.STAR Guideline Terminology(Ⅲ):Reporting,Evaluation,Dissemination,Implementation and Updating
Hongfeng HE ; Hui LIU ; Qianling SHI ; Yuanyuan YAO ; Yishan QIN ; Zijun WANG ; Jinhui TIAN ; Long GE ; Xiaohui WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(4):1018-1025
Objective To sort,summarize,and introduce key terms related to guideline reporting,evaluation,dissemination,implementation,and updating.Methods We systematically searched guideline de-velopment manuals and methodological literature from database inception to October 25,2024.Terms related to guideline reporting,updating,evaluation,and implementation were extracted,standardized,and finalized through a structured consensus process.Results A total of 13 guideline manuals and 32 methodological articles were included,yielding 14 core terms with standardized definitions.Conclusions This article introduces key terms such as reporting standards,external review,and research gaps across guideline development phases to promote concept application and deepen readers'understanding of guideline development.
10.Application of three-dimensional U-shaped residual coordinated attention network in early detection of small intestinal polyps
Zijun GAO ; Xinfeng ZHANG ; Xiao CHEN ; Xiangsheng LI ; Xiaomin LIU
Chinese Journal of Preventive Medicine 2025;59(10):1756-1762
Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

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