1.Role of amino acid metabolism in autoimmune hepatitis and related therapeutic targets
Peipei GUO ; Yang XU ; Jiaqi SHI ; Yang WU ; Lixia LU ; Bin LI ; Xiaohui YU
Journal of Clinical Hepatology 2025;41(3):547-551
Autoimmune hepatitis (AIH) is a chronic inflammatory liver disease. The pathogenesis of AIH remains unclear, but it is mainly autoimmune injury caused by the breakdown of autoimmune tolerance due to the abnormal activation of the immune system, while the specific molecular mechanism remains unknown. Recent studies have shown that abnormal amino acid metabolism plays an important role in the development and progression of AIH. This article reviews the research advances in amino acid metabolic reprogramming in AIH, in order to provide a theoretical basis for amino acid metabolism as a new target for the clinical diagnosis and treatment of AIH.
2.Effect of fibroblast growth factor receptor 1 inhibitor on bone destruction in rats with collagen-induced arthritis
Haihui HAN ; Xiaohui MENG ; Bo XU ; Lei RAN ; Qi SHI ; Lianbo XIAO
Chinese Journal of Tissue Engineering Research 2025;29(5):968-977
BACKGROUND:Preliminary research by our group suggests that targeting fibroblast growth factor receptor 1(FGFR1)may be an effective strategy for treating RA. OBJECTIVE:To investigate the effects of an FGFR1 inhibitor(PD173074)on bone destruction in rats with collagen-induced arthritis. METHODS:Twenty-five female Sprague-Dawley rats were randomly divided into five groups:normal control group,model group,methotrexate group,low-dose PD173074 group,and high-dose PD173074 group.Except for the normal control group,rat models of type Ⅱ collagen-induced arthritis were made in each group.After successful modeling,rats were injected intraperitoneally with sterile PBS in the normal and model groups,1.04 mg/kg methotrexate in the methotrexate group,and 5 and 20 mg/kg in the low-dose group and high-dose PD173074 groups,once a week.After 4 weeks of drug administration,clinical symptoms and joint swelling in rats were observed.Micro-CT was used for three-dimensional reconstruction and analysis of the ankle joints.Pathological changes in the ankle joints were observed.Periarticular angiogenesis and the expression of receptor activator of nuclear factor-Κb ligand were detected.The expression levels of p-FGFR1,vascular endothelial growth factor A,and tartrate-resistant acid phosphatase in the synovial membrane were measured.Pathological changes in the liver,spleen,and kidney were observed and liver,spleen,and kidney indices were calculated. RESULTS AND CONCLUSION:PD173074 could alleviate clinical symptoms and joint swelling,delay bone loss,improve bone structure,reduce synovial invasion and cartilage bone erosion,reduce the number of periarticular osteoclasts,inhibit angiogenesis in synovial tissues,reduce the expression of receptor activator of nuclear factor-Κb ligand,and inhibit the expression of FGFR1 phosphorylated protein,tartrate-resistant acid phosphatase and vascular endothelial growth factor A.Pathologic observation of the liver,spleen and kidney in rats showed no obvious toxic side effects after PD173074 treatment.To conclude,the FGFR1 inhibitor can delay the progression of joint inflammation and bone destruction and inhibit angiogenesis in the rat model of type Ⅱ collagen-induced arthritis.The therapeutic effect of PD173074 has been preliminarily validated in the type Ⅱ collagen-induced arthritis model and may act by inhibiting FGFR1 phosphorylation,which provides a direction for the search of new therapeutic targets for rheumatoid arthritis.
3.Targeting fibroblast growth factor receptor 1 signaling to improve bone destruction in rheumatoid arthritis
Haihui HAN ; Lei RAN ; Xiaohui MENG ; Pengfei XIN ; Zheng XIANG ; Yanqin BIAN ; Qi SHI ; Lianbo XIAO
Chinese Journal of Tissue Engineering Research 2025;29(9):1905-1912
BACKGROUND:Although researchers have noted that fibroblast growth factor receptor 1 shows great potential in rheumatoid arthritis bone destruction,there is a lack of reviews related to the potential mechanisms of fibroblast growth factor receptor 1 in rheumatoid arthritis bone destruction. OBJECTIVE:To comprehensively analyze the mechanism of fibroblast growth factor receptor 1 in bone destruction in rheumatoid arthritis by reviewing the relevant literature at both home and abroad. METHODS:We searched the CNKI database using the Chinese search terms"fibroblast growth factor receptor 1,rheumatoid arthritis,bone destruction,bone cells,osteoblasts,osteoclasts,chondrocytes,macrophages,synovial fibroblasts,T cells,vascular endothelial cells."PubMed database was searched using the English search terms"fibroblast growth factor receptor 1,rheumatoid arthritis,bone destruction,osteocytes,osteoblasts,osteoclasts,chondrocytes,macrophages,synovial fibroblasts,T cells,endothelial cells."The search period focused on April 1992 to January 2024.After screening the literature by reading titles,abstracts,and full texts,a total of 82 articles were finally included for review according to inclusion and exclusion criteria. RESULTS AND CONCLUSION:Fibroblast growth factor receptor 1 was found to be widely expressed in bone tissue-associated cells,including osteoblasts,osteoclasts,and osteoclasts.Fibroblast growth factor receptor 1 affects bone remodeling and homeostasis by regulating the function of these cells,as well as promoting the onset and progression of bone destruction in rheumatoid arthritis.Fibroblast growth factor receptor 1 is involved in the inflammatory response of synovial fibroblasts and macrophages and regulates angiogenesis of endothelial cells in synovial tissues.Fibroblast growth factor receptor 1 promotes bone destruction in several ways.Fibroblast growth factor receptor 1 may be a potential causative agent of bone destruction in rheumatoid arthritis and provides a reference for further research on its therapeutic targets.
4.Enhancing Disciplinary Development Through Journal Columns: Taking the "Clinical Practice Guidelines"Column in Medical Journal of Peking Union Medical College Hospital as an Example
Meihua WU ; Hui LIU ; Qi ZHOU ; Qianling SHI ; Na LI ; Yule LI ; Xiaoqing LIU ; Kehu YANG ; Jinhui TIAN ; Long GE ; Bin MA ; Xiuxia LI ; Xuping SONG ; Xiaohui WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1315-1324
To explore the role of the "Clinical Practice Guidelines" column and others in the We collected papers published by the Lanzhou University Evidence-Based Medicine Center team in the "Clinical Practice Guidelines" column and others from 2018 to 2025. These publications were analyzed across multiple dimensions, including authorship and institutional affiliations, citation metrics, and research themes and content. A total of 59 papers were included in the analysis, with authors representing 70 domestie and international research institutions. The cumulative citation count was 639, with the highest single-paper citation frequency reaching 101. The average citation per paper was 10.8, and total downloads exceeded 30 000. The content focused on key themes such as guideline terminology, development methodology, guideline evaluation, and dissemination and implementation. The evolution of research topics progressed from critiques of common misconceptions and hot topies in the field to multidimensional evaluations of thecurrent state of Chinese guidelines, culminating in the fommulation of industry standards for guidelines. These contributions have provided critical references for translating guideline theory into practice in China and have garnered widespread attention and discussion among scholars in the field. The "Clinical Practice Guidelines" column and others in the
5.SMUG1 promoted the progression of pancreatic cancer via AKT signaling pathway through binding with FOXQ1.
Zijian WU ; Wei WANG ; Jie HUA ; Jingyao ZHANG ; Jiang LIU ; Si SHI ; Bo ZHANG ; Xiaohui WANG ; Xianjun YU ; Jin XU
Chinese Medical Journal 2025;138(20):2640-2656
BACKGROUND:
Pancreatic cancer is a lethal malignancy prone to gemcitabine resistance. The single-strand selective monofunctional uracil DNA glycosylase (SMUG1), which is responsible for initiating base excision repair, has been reported to predict the outcomes of different cancer types. However, the function of SMUG1 in pancreatic cancer is still unclear.
METHODS:
Gene and protein expression of SMUG1 as well as survival outcomes were assessed by bioinformatic analysis and verified in a cohort from Fudan University Shanghai Cancer Center. Subsequently, the effect of SMUG1 on proliferation, cell cycle, and migration abilities of SMUG1 cells were detected in vitro . DNA damage repair, apoptosis, and gemcitabine resistance were also tested. RNA sequencing was performed to determine the differentially expressed genes and signaling pathways, followed by quantitative real-time polymerase chain reaction and Western blotting verification. The cancer-promoting effect of forkhead box Q1 (FOXQ1) and SMUG1 on the ubiquitylation of myelocytomatosis oncogene (c-Myc) was also evaluated. Finally, a xenograft model was established to verify the results.
RESULTS:
SMUG1 was highly expressed in pancreatic tumor tissues and cells, which also predicted a poor prognosis. Downregulation of SMUG1 inhibited the proliferation, G1 to S transition, migration, and DNA damage repair ability against gemcitabine in pancreatic cancer cells. SMUG1 exerted its function by binding with FOXQ1 to activate the Protein Kinase B (AKT)/p21 and p27 pathway. Moreover, SMUG1 also stabilized the c-Myc protein via AKT signaling in pancreatic cancer cells.
CONCLUSIONS
SMUG1 promotes proliferation, migration, gemcitabine resistance, and c-Myc protein stability in pancreatic cancer via protein kinase B signaling through binding with FOXQ1. Furthermore, SMUG1 may be a new potential prognostic and gemcitabine resistance predictor in pancreatic ductal adenocarcinoma.
Humans
;
Pancreatic Neoplasms/pathology*
;
Forkhead Transcription Factors/genetics*
;
Signal Transduction/genetics*
;
Animals
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Cell Line, Tumor
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Proto-Oncogene Proteins c-akt/metabolism*
;
Cell Proliferation/physiology*
;
Mice
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Uracil-DNA Glycosidase/genetics*
;
Female
;
Male
;
Gemcitabine
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Mice, Nude
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Apoptosis/physiology*
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Deoxycytidine/analogs & derivatives*
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Cell Movement/genetics*
6.Research progress on T cell exhaustion in immunotherapy for patients with hepatocellular carcinoma.
Yang WU ; Tian LI ; Runbing ZHANG ; Yani ZHANG ; Lingling ZHU ; Tingting SHI ; Shunna WANG ; Meixia YANG ; Xiaohui YU ; Jiucong ZHANG
Chinese Journal of Cellular and Molecular Immunology 2025;41(3):271-277
Hepatocellular carcinoma (HCC) is one of the fastest growing cancers in the world, ranking fourth among the causes of cancer-induced death in the world. At present, the field of HCC treatment is developing rapidly, and immunotherapy has been recognized as a promising treatment method, in which T cells play a key role in HCC immunotherapy. However, in the case of virus infection or in tumor microenvironment (TME), T cells will be continuously stimulated by antigens and then fall into the state of T cell exhaustion (Tex). This state will not only reduce the immunity of patients but also lead to poor efficacy of immunotherapy. Therefore, to deeply analyze the mechanism of Tex and to explore effective strategies to reverse Tex is the key point in the immunotherapy for HCC. This review aims to summarize the mechanism of Tex in HCC patients, and the current situation and shortcomings of drug research and development to reverse Tex at this stage, in order to provide theoretical basis for the optimization of immunotherapy regimen for HCC patients.
Humans
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Carcinoma, Hepatocellular/therapy*
;
Liver Neoplasms/therapy*
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Immunotherapy/methods*
;
T-Lymphocytes/immunology*
;
Tumor Microenvironment/immunology*
;
Animals
;
T-Cell Exhaustion
7.Enhanced radiotheranostic targeting of integrin α5β1 with PEGylation-enabled peptide multidisplay platform (PEGibody): A strategy for prolonged tumor retention with fast blood clearance.
Siqi ZHANG ; Xiaohui MA ; Jiang WU ; Jieting SHEN ; Yuntao SHI ; Xingkai WANG ; Lin XIE ; Xiaona SUN ; Yuxuan WU ; Hao TIAN ; Xin GAO ; Xueyao CHEN ; Hongyi HUANG ; Lu CHEN ; Xuekai SONG ; Qichen HU ; Hailong ZHANG ; Feng WANG ; Zhao-Hui JIN ; Ming-Rong ZHANG ; Rui WANG ; Kuan HU
Acta Pharmaceutica Sinica B 2025;15(2):692-706
Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [64Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [64Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [64Cu]QM-2303 from the bloodstream. Administration of a single dose of [177Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [64Cu]/[177Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [64Cu]/[177Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.
8.The role of tumor necrosis factor-α in the development and progression of hepatocellular carcinoma
Lingling ZHU ; Yani ZHANG ; Tingting SHI ; Yang WU ; Chun GAO ; Xiaohui YU ; Yujing HE ; Jiucong ZHANG
Journal of Clinical Hepatology 2024;40(11):2320-2325
Tumor necrosis factor-α(TNF-α)is involved in the regulation of multiple biological processes such as the proliferation,invasion,migration,and chemotherapy resistance of hepatocellular carcinoma(HCC)cells through TNF receptor-mediated signaling pathways.At the same time,TNF-α also plays a role in inducing the apoptosis of HCC cells.Some TNF-α inhibitors have been shown to inhibit the progression of HCC and prolong survival time.At present,the potential mechanism of action of TNF-α in HCC remains unclear,and exploration of the interaction between TNF-α and HCC can help to determine the potential therapeutic targets for HCC.This article summarizes the latest research advances in the mechanism of action of TNF-α in HCC and introduces the possibility of targeting TNF-α as a treatment method for HCC,in order to provide a theoretical basis for the prevention and treatment of liver cancer and drug research and development.
9.Analysis of risk factors for hemorrhage during CT-guided lung biopsy based on a random forest model
Yong LI ; Xiaohui ZHAO ; Fang LIU ; Wenge XING ; Fengjuan LI ; Jinhai SHI ; Jiaxin LIU ; Chengmin YANG
Chinese Journal of Blood Transfusion 2024;37(10):1110-1114,1121
Objective To systematically analyze and identify key risk factors for postoperative pulmonary hemorrhage u-sing a combination of the random forest(RF)model and traditional logistic regression analysis,so as to provide data support for clinical practice.Methods This study included patients who underwent needle biopsy of lung masses from January 2020 to December 2023 in the Department of Interventional Therapy,Cancer Hospital,Tianjin Medical University.There were 844 cases,including 387 males and 457 females,ranging in age from 39 to 82 years.Clinical data and puncture-related characteristics were collected,including tumor size,puncture depth,puncture angle,presence of emphysema,lesion loca-tion in the lung,body position during puncture,whether the puncture passed through the interlobar fissure,and the number of punctures.The RF model was used to rank the importance of all variables,identifying those with the highest predictive value.Subsequently,a multivariate logistic regression model was applied to the top-ranked important variables to further e-valuate their independent impact on postoperative pulmonary hemorrhage.Results The RF model results showed that tumor size and puncture depth had the highest importance in predicting the risk of postoperative pulmonary hemorrhage.Multivari-ate logistic regression analysis further confirmed that smaller tumor size(HR:0.980,95%CI:0.971-0.989,P<0.05)was significantly associated with a lower risk of hemorrhage,while greater puncture depth(HR:1.146,95%CI:1.063-1.235,P<0.05)was closely related to a higher risk of hemorrhage.Additionally,other factors such as puncture angle,age,lesion location in the lung and presence of emphysema showed some influence but did not reach statistical significance in the multi-variate analysis.Conclusion This study successfully identified tumor size and puncture depth as independent risk factors for postoperative pulmonary hemorrhage by combining the RF model with multivariate logistic regression analysis.The appli-cation of the RF model improved the accuracy of feature selection,allowing us to focus on the most contributory predictive variables.These findings provide important support for preoperative risk assessment,suggesting that clinicians should priori-tize these key factors in preoperative evaluations to develop safer and more effective surgical plans,thereby reducing the risk of postoperative hemorrhage and other complications.
10.Influencing Factors of Overall Survival of Elderly Patients with Hepatocellular Carcinoma and Construction of Prediction Model of Prognosis Nomogram:A Population-Based Study
Yang WU ; Tian LI ; Tingting SHI ; Lingling ZHU ; Yani ZHANG ; Peipei GUO ; Runbing ZHANG ; Shunna WANG ; Chun GAO ; Xiaohui YU ; Jiucong ZHANG
Cancer Research on Prevention and Treatment 2024;51(9):756-763
Objective To explore the independent risk factors that affect the overall survival(OS)of elderly patients with hepatocellular carcinoma(HCC,≥60 years old)and build a nomogram prediction model.Methods Clinical data of all elderly patients with HCC from the SEER database from 2005 to 2020 were downloaded from SEER database.In accordance with the inclusion and exclusion criteria,the screened patients were randomly assigned to a training group(70%)and a validation group(30%).The independent risk factors of elderly patients with HCC were determined by univariate and multivariate Cox regression analyses and further validated by Kaplan-Meier survival analysis.On the basis of the determined variables,nomograms were developed and verified to predict the OS of elderly patients with HCC at 6,12,and 24 months.The consistency index(C index),calibration curve,receiver's operating characteristic(ROC)curve,and area under curve(AUC)were used to evaluate the prediction efficiency and discrimination ability of the prediction model,and decision curve analysis(DCA)was used to evaluate the potential clinical application value of the nomogram.Results A total of 1134 elderly patients with HCC were included,with 793 in the training group and 341 in the validation group.Seven variables,including age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy,were identified as independent prognostic factors of this population.The constructed nomogram shows excellent prediction performance,with C indices of 0.745 in the training group and 0.704 in the validation group.The AUC values of the training group at 6,12,and 24 months were 0.785,0.788,and 0.798,respectively,and those of the validation group were 0.780,0.725,and 0.607,respectively.The calibration curve shows good consistency from the predicted survival probability to the actual probability.The ROC curve and DCA show that the nomogram proposed in this study has good prediction ability.Conclusion Age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy are important influencing factors for the survival of elderly patients with HCC.The prediction model of prognosis nomogram constructed in this study has good predictive value,and it can be used to predict the OS of elderly patients with HCC,which could be helpful for individualized survival assessment and clinical management of these patients.

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