1.Mitophagy regulates bone metabolism
Hanmin ZHU ; Song WANG ; Wenlin XIAO ; Wenjing ZHANG ; Xi ZHOU ; Ye HE ; Wei LI
Chinese Journal of Tissue Engineering Research 2025;29(8):1676-1683
BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.
2.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
3.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
4.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
5.Data analysis of HBV DNA detection proficiency testing in blood station laboratories
Yanbin WANG ; Lianjun HAO ; Huixian ZHANG ; Ye SUN ; Congya LI ; Kun TANG ; Xi TANG
Chinese Journal of Blood Transfusion 2025;38(8):1089-1093
Objective: To design HBV DNA proficiency testing and system comparison samples with different concentration gradients, analyze their detection results in PCR detection systems, evaluate the nucleic acid detection capabilities of laboratories and differences between detection systems, and put forward suggestions for continuous quality improvement to participating laboratories. Methods: Three groups of randomly numbered proficiency testing samples (with HBV DNA reference concentrations of <2, 7.5, and 30 IU/mL respectively) were taken as the detection objects. Using nucleic acid test data from 11 provincial blood station laboratories as the source, the samples were grouped by detection system and laboratory successively, and statistical analysis was conducted. Results: Statistical analysis of the detection data of the three groups of samples based on detection systems and laboratories showed that from low to high concentration, the coincidence rate between the detection results of different detection systems and laboratories and the expected results showed an increasing trend: 38.89%, 85.90%, and 100.00%; the same system exhibited certain differences in performance among different laboratories. Conclusion: Through this proficiency testing and system comparison, it is found that there are certain differences in the detection capabilities of different laboratories and different nucleic acid test systems. Blood station laboratories should standardize processes, strengthen quality management and data analysis on the basis of being familiar with the detection performance of their detection systems, and at the same time strengthen the control of laboratory interference factors to continuously improve the nucleic acid detection capabilities of blood station laboratories.
6.Protective effect of Humanin on rotenone-induced dopamine neuron toxicity
Yaohui SHAN ; Qifu ZHANG ; Jin CHENG ; Feng YE ; Xi ZHANG ; Wenpei YU ; Xiaogang WANG ; Yuanpeng ZHAO ; Guorong DAN ; Mingliang CHEN ; Yan SAI
Journal of Army Medical University 2024;46(7):670-677
Objective To investigate the mechanism and protective effect of Humanin(HN)on rotenone(Rot)-induced toxic damage for dopamine neurons.Methods The Rot-poisened PC12 cell model was constructed,and the control group,the Rot poisening group,the HN pretreated Rot poisening group,and the HN treatment group were set up.ELISA was used to detect the content of HN inside and outside of Rot-infected cells,CCK-8 assay was used to detect cell viability,and ATP detection kit was used to detect the intracellular ATP content.Dichloro-dihydro-fluorescein diacetate(DCFH-DA)assay was used to detect the level of reactive oxygen species(ROS)in cells.Western blotting was performed to detect the expression level of mitochondrial autophagy regulatory proteins Pink1,Parkin,p62,LC3,mitochondrial biogenesis regulatory protein PGC1α,division/fusion regulatory proteins OPA1,MFN2,DRP1,p-DRP1 and antioxidant stress regulatory proteins Keap1 and Nrf2.HBAD-mcherry-EGFP-LC3 adenovirus transfected cells was used to observed the number of autophagosomes and autophagolysosomes.Results The results showed that the intracellular concentration of HN in PC12 in the Rot poisening group was significantly higher than that in the control group(P<0.05);Compared with the control group,the Rot poisening group had significantly decreased activity of PC12 cells,decreased ATP content and increased production of ROS.After the poisen of Rot in PC12 cells,the expression of Pink1 and p-Parkin,the ratio of LC3Ⅱ/LC3Ⅰ and the expression of p-DRP1 in mitochondrial fusion protein was increased,while the expression of p62,the expression of mitochondrial biogenesis protein PGC1 α,mitochondrial fusion proteins MFN2 and OPA1,and antioxidant stress proteins Keap1 and Nrf2 were decreased(all P<0.05).The number of autophagosomes and autophagolysosomes in PC12 cells in the Rot poisening group was higher than that in the control group(P<0.05),and HN pretreatment(20 μmol/L)could significantly improve the changes mentioned above caused by Rot poisening(P<0.05).Conclusion HN ameliorates Rot-induced toxic damage for dopamine neurons by inhibiting mitophagy and mitochondrial division and promoting mitochondrial biogenesis and fusion,and anti-oxidative stress.
7.Study on The Toxicity of Strychnos nux-vomica L. in vivo in Rats:Application of Bagging Algorithm and 16S rRNA Gene Sequencing Technology in Toxicology Research
Xi-Ye WANG ; Le-Er BAO ; Ming-Yang JIANG ; Dan LI ; Mei-Rong BAI
Progress in Biochemistry and Biophysics 2024;51(2):404-422
ObjectiveThe traditional Chinese medicine Strychnos nux-vomica L. (SN) has the clinical effect of reducing swelling and relieving pain; however, SN is toxic due to its alkaloid components. Little is known about the endogenous metabolic changes induced by SN toxicity in rats and their potential effects on the metabolic dysregulation of intestinal microbiota. Therefore, toxicological investigation of SN is of great significance to its safety assessment. In this study, the toxic mechanisms of SN were explored using a combination of metabonomics and 16S rRNA gene sequencing. MethodsThe toxic dose, intensity, and target organ of SN were determined in rats using acute, cumulative, and subacute toxicity tests. UHPLC-MS was used to analyze the serum, liver, and renal samples of rats after intragastric SN administration. The decision tree and K Nearest Neighbor (KNN) model were established based on the bootstrap aggregation (bagging) algorithm to classify the omics data. After samples were extracted from rat feces, the high-throughput sequencing platform was used to analyze the 16S rRNA V3-V4 region of bacteria. ResultsThe bagging algorithm improved the accuracy of sample classification. Twelve biomarkers were identified, where their metabolic dysregulation may be responsible for SN toxicity in vivo. Several types of bacteria such as Bacteroidetes, Anaerostipes, Oscillospira and Bilophila, were demonstrated to be closely related to physiological indices of renal and liver function, indicating that SN-induced liver and kidney damage may be related to the disturbance of these intestinal bacteria. ConclusionThe toxicity mechanism of SN was revealed in vivo, which provides a scientific basis for the safe and rational clinical use of SN.
8.Prediction of EGFR mutation status in lung adenocarcinoma based on standardized enhanced CT radiomics nomogram
Xun WANG ; Shuang GE ; Huizhen XI ; Jun MA ; Yaru LIU ; Shucheng YE ; Junli MA
Chinese Journal of Radiological Medicine and Protection 2024;44(3):194-201
Objective:To investigate the value of radiomics nomogram based on standardized pre-treatment chest enhanced CT in predicting the mutation status of epidermal growth factor receptor (EGFR) for patients with lung adenocarcinoma.Methods:A retrospective analysis was conducted on pre-treatment chest enhanced CT images and clinical data of 262 patients from the affiliated hospital of Jining Medical University with pathologically proven primary lung adenocarcinoma who received EGFR gene testing, including EGFR wild type ( n=122) and mutant type ( n=140). The patients were divided into training group ( n=183) and testing group ( n=79) according to a ratio of 7∶3 by stratified sampling method. Standardized pre-processed the images, delineated the ROI and extracted the radiomics features. Least absolute shrinkage and selection operator (LASSO) algorithm was used to reduce the dimension and select key features. The standardized radiomics model, clinical model and the combined model were established by Logistic Regression (LR) machine learning method. Calculated the Rad-score and drew the nomogram. ROC curve and Delong were used to evaluate and compare the predictive performance of different models. Results:23 standardized enhanced CT radiomics features and 4 clinical features were selected. The predictive performance of standardized radiomics model was better than that of non-standardized radiomics model [area under curve (AUC): 0.863 vs. 0.805, t=2.19, P<0.05]. The AUCs of the combined model and standardized radiomics model were higher than that of the clinical model (training group: 0.885, 0.863 vs. 0.774, t=3.57, 2.17, P<0.05; testing group: 0.873, 0.829 vs. 0.763, t=2.19, 2.02, P<0.05). The radiomics nomogram was built based on Rad-score, age, sex, smoking history and BMI. Conclusions:The combined model and standardized radiomics model could effectively predict the mutation status of EGFR gene in lung adenocarcinoma patients before treatment, providing valuable clinical insights.
9.Efficacy of mFOLFOX7 regimen systemic chemotherapy combined with camrelizumab and apatinib for hepatocellular carcinoma with Vp4 portal vain tumor thrombus
Linhui PENG ; Tao CHEN ; Yunxiuxiu XU ; Jie WANG ; Jie CHEN ; Yong LI ; Pinbo HUANG ; Guoping ZHONG ; Xi CHEN ; Congting YE ; Yajin CHEN
Chinese Journal of Digestive Surgery 2024;23(2):265-271
Objective:To investigate the efficacy of mFOLFOX7 regimen systemic chemo-therapy combined with camrelizumab and apatinib for hepatocellular carcinoma (HCC) with Vp4 portal vain tumor thrombus (PVTT).Methods:The single-arm, open, exploratory clinical study was conducted. The clinicopathological data of 15 HCC patients with Vp4 PVTT who were admitted to the Sun Yat-sen Memorial Hospital of Sun Yat-sen University from April 2021 to October 2023 were collected. There were 14 males and 1 female, aged 48(range, 33-67)years. All patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. Observa-tion indicators: (1) clinical efficacy; (2) survival of patients. Measurement data with skewed distribution were represented as M(rang), and count data were described as absolute numbers or percentages. Results:(1) Clinical efficacy. All 15 patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. According to the response evaluation criteria in solid tumors version 1.1, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 10/15, 1/15, 9/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. According to the modified response evaluation criteria in solid tumors, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 12/15, 6/15, 6/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. Of the 15 patients, 7 cases were successfully treated with conversion therapy with the surgical conversion rate as 7/15, and all of them achieved R 0 resection. The other 6 cases were failed in conversion therapy, and there were 2 cases still undergoing conversion therapy. Of the 7 patients with successful conver-sion therapy, 5 cases achieved complete pathological remission, 1 case achieved major pathological remission with 90% of tumor tissue necrosis, and 1 case achieved complete remission through imaging examination, but new liver lesions appeared in multiple locations during further observation which were surgically removed. Results of histopathology examination on the patient confirmed multiple liver metastases. The proportion of treatment-associated adverse reactions in 15 patients was 13/15, with 7/15 having ≥grade 3 adverse reactions, including diarrhea (3/15), neutropenia (2/15), thrombo-cytopenia (2/15), and elevated aspartate aminotransferase (2/15). One patient may experience ≥1 adverse reaction. All patients were improved after symptomatic treatment. (2) Survival of patients. All 15 patients were followed up for 13.0(range, 2.0-31.0)months. During the follow-up period, 3 patients died. One case died of upper gastrointestinal bleeding after achieving partial remission, with a survival time of 7.5 months. One case died of multiple liver metastases of tumor, with tumors accounting for over 70% volume of liver and a survival time of 9.5 months. One case with multiple liver tumors and bilateral lung metastasis died due to disease progression after achieving partial remission, with a survival time of 13.5 months. The postoperative follow-up time for 7 patients undergoing surgical treatment was 14.0(range, 2.0-25.0)months. Of the 7 patients, 1 case experien-ced tumor recurrence 20.0 months after surgery, and 6 cases had no recurrence at last time of the follow-up (3 cases completed treatment and entered follow-up observation). The longest survival time was 31.0 months. Conclusion:The mFOLFOX7 regimen systemic chemotherapy combined with camrelizumab and apatinib for HCC with Vp4 PVTT is safe and feasible.
10.Pharmacokinetics of JS026 and JS026-JS016 for single intravenous administration in healthy volunteers
Yan TIAN ; Hui-Jing YE ; Jing-Jing WANG ; Nan-Yang LI ; Juan MA ; Xi TAN ; Fan WU ; Jie WANG ; Shu-Yan YU ; Xiao-Jie WU ; Jin-Jie HE ; Jing ZHANG ; Wen-Hong ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(15):2251-2255
Objective To evaluate tolerability,safety and pharmacokinetics of JS026 and JS026-JS016 single dose intravenous infusion in healthy adults.Methods This phase 1,randomized,double-blind,placebo-controlled,dose-escalation study totally included 48 participants:32 healthy subjects were enrolled in JS026 single intravenous infusion groups and 16 healthy subjects were enrolled in JS026-JS016 groups.JS026 was sequentially administered from low dose to high dose(30-1 000 mg),with intravenous infusion of JS026 or placebo in JS026 single-dose groups,and intravenous infusion of JS026-JS016 or placebo in the combination drug groups.Blood was collected according to the time point designed for trial.Serum concentrations of JS026 and JS016 were determined by enzyme linked immunosorbnent assay(ELISA),and pharmacokinetics parameters were calculated by WinNonlin 8.2.The power model method was used to evaluate the linear analysis of dose and drug exposure.Results 47 subjects completed trial and 1 subject lost to follow-up.After a single intravenous injection of JS026 of 30 mg,100 mg,300 mg,600 mg,and 1 000 mg,mean Cmax were(9.47±1.53),(33.20±4.95),(96.10±13.70),(177.00±22.20)and(353.00±56.70)μg·mL-1,respectively;mean AUC0-∞ were(4 225.00±607.00),(1.78 × 104±3 268.00),(5.83 × 104±1 038.00),(1.07 × 105±152.00),(1.66 × 105±327.00)μg·h·mL-1,respectively;mean t1/2 of JS026 were 563-709 h.The Cmax and AUC0-∞ of JS026 were basically similar alone or in combination with JS016.The results of Power model showed that Cmax and AUC0-∞ increased approximately linearly with the increasing dose of JS026.Treatment emergent adverse event was not increasing when dose increased and most of adverse event associated with drugs were abnormal on laboratory tests and haematuria,thus JS026 and JS016 was well tolerated in all groups.Conclusion The single intravenous infusion of JS026 can almost be thought to be a linear relationship between the doses and drug serum exposure.JS016 had no significant effect on serum concentration of JS026 and JS026 was well tolerated and safe in healthy subjects within 30-1 000 mg.

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