1.Dipsacus asper Treats Alzheimer's Disease in Caenorhabditis elegans by Regulating PPARα/TFEB Pathway
Mengmeng WANG ; Jianping ZHAO ; Limin WU ; Shuang CHU ; Yanli HUANG ; Zhenghao CUI ; Yiran SUN ; Pan WANG ; Hui WANG ; Zhenqiang ZHANG ; Zhishen XIE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):104-114
ObjectiveTo investigate the anti-Alzheimer's disease (AD) effect of Dipsacus asper(DA) in the Caenorhabditis elegans model, and decipher the underlying mechanism via the peroxisome proliferator-activated receptor α (PPARα)/transcription factor EB (TFEB) pathway. MethodsFirst, transgenic AD C. elegans individuals were assigned into the blank control, model, positive control (WY14643, 20 µmol·L-1), and low-, medium-, and high-dose (100, 200, and 400 mg·L-1, respectively) DA groups. The amyloid β-42 (Aβ42) formation in the muscle cells, the paralysis time, and the deposition of amyloid β-protein (Aβ) in the head were detected. The lysosomal autophagy in the BV2 cell model was examined by Rluc-LC3wt/G120A. The expression levels of lysosomal autophagy-related proteins LC3Ⅱ, LC3I, LAMP2, and TFEB were detected by Western blot. Real-time quantitative polymerase chain reaction (Real-time PCR) was employed to determine the mRNA levels of autophagy-related genes beclin1 and Atg5 and lysosome-related genes LAMP2 and CLN2 downstream of PPARα/TFEB. A reporter gene assay was used to detect the transcriptional activities of PPARα and TFEB. Immunofluorescence was used to detect the fluorescence intensity of PPARα, and the active components of the ethanol extract of DA were identified by UPLC-MS. RCSB PDB, Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and Autodock were used to analyze the binding between the active components and PPARα-ligand-binding domain (LBD). ResultsCompared with the model group, the positive control group and 200 and 400 mg·L-1 DA groups showed prolonged paralysis time (P<0.05), and all the treatment groups showed decreased Aβ deposition in the head (P<0.01). DA within the concentration range of 50-500 mg·L-1 did not affect the viability of BV2 cells. In addition, DA enhanced the autophagy flux (P<0.05), up-regulated the mRNA levels of beclin1, Atg5, LAMP2, and CLN2 (P<0.05, P<0.01), promoted the nuclear translocation of TFEB (P<0.05), increased LAMP2 expression and autophagy flux (P<0.05, P<0.01), and enhanced the transcriptional activities of PPARα and TFEB (P<0.01). The positive control group and 200 and 400 mg·L-1 DA groups showed enhanced fluorescence intensity of PPARα in the BV2 nucleus (P<0.01). UPLC-MS detected nine known compounds of DA, from which 8 active components of DA were screened out. The docking results suggested that a variety of components in DA could bind to PPARα-LBD and form stable hydrogen bonds. ConclusionDA may reduce the pathological changes in AD by regulating the PPARα-TFEB pathway.
2.Recurrence risk prediction models of postoperative patients with renal cell carcinoma based on machine learning
Peipei WANG ; Zhao HOU ; Hui MA ; Dingyang LYU ; Qiwei WANG ; Weibing SHUANG
Journal of Modern Urology 2025;30(3):240-247
Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma,construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set,LASSO regression algorithm was used to screen important variables,and machine learning prediction models were constructed to predict the recurrence risk.In the validation set,the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC),accuracy rate,F1 value and other indicators. Results: LASSO regression screened out the risk factors,including smoking history,tumor size,N stage,Fuhrman grade,thrombin time and fibrinogen,based on which,the logistic model,decision tree model,random forest model,and Bayes model were constructed.In the validation set,the AUC of the above 4 models was 0.862,0.792,0.843 and 0.861,respectively; the accuracy was 0.917,0.908,0.904 and 0.927,respectively; F1 value was 0.357,0.286,0.323 and 0.600,respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set,the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.
3.Advances in Study of Erythroblastic Island Macrophages--Review.
Journal of Experimental Hematology 2025;33(1):292-295
Bone marrow microenvironment is the environment in which hematopoietic stem cells live, mainly composed of bone marrow stromal cells, microvessels, nerves, and cytokines secreted by stromal cells. The bone marrow microenvironment plays a crucial role in the self-renewal, directed differentiation and proliferation of hematopoietic stem cells and the regulation of proliferation, differentiation and maturation of hematopoietic cells. A class of macrophages exists in the bone marrow microenvironment, the bone marrow-resident tissue macrophages, which plays a crucial role in maintaining homeostasis in vivo, and three subpopulations of bone marrow-resident tissue macrophages have been characterized: erythroblastic island macrophages (EIMs), hematopoietic stem cell niche macrophages, and bone macrophages. This review focuses on the functions, surface markers and modeling of EIMs.
Macrophages/cytology*
;
Humans
;
Erythroblasts/cytology*
;
Animals
;
Hematopoietic Stem Cells/cytology*
4.Screening of Anti-Tumor Drugs that Enhance Antigen Presentation of AML Cells with TCR-Like Antibody.
Xiao-Ying YANG ; Bo TANG ; Hui-Hui LIU ; Wei-Wei XIE ; Shuang-Lian XIE ; Wen-Qiong WANG ; Jin WANG ; Shan ZHAO ; Yu-Jun DONG
Journal of Experimental Hematology 2025;33(5):1305-1311
OBJECTIVE:
To screen anti-tumor drugs that improve antigen processing and presentation in acute myeloid leukemia (AML) cells.
METHODS:
A TCR-like or TCR mimic antibody that can specifically recognize HLA-A*0201:WT1126-134 ( RMFPNAPYL) complex (hereafter referred to as HLA-A2:WT1) was synthesized to evaluate the function of antigen processing and presentation machinery (APM) in AML cells. AML cell line THP1 was incubated with increasing concentrations of IFN-γ, hypomethylating agents (HMA), immunomodulatory drugs (IMiD), proteasome inhibitors (PI) and γ-secretase inhibitors (GSI), followed by measuring of HLA-ABC, HLA-A2 and HLA-A2:WT1 levels by flow cytometry at consecutive time points.
RESULTS:
The TCR-like antibody we generated only binds to HLA-A*0201+WT1+ cells, indicating the specificity of the antibody. HLA-A2:WT1 level of THP-1 cells detected with the TCR-like antibody was increased significantly after co-incubation with IFN-γ, showing that the HLA-A2:WT1 TCR like antibody could evaluate the function of APM. Among the anti-tumor agents screened in this study, GSI (LY-411575) and HMA (decitabine and azacitidine) could significantly increase the HLA-A2:WT1 level. The IMiD lenalidomide and pomalidomide could aslo upregulate the expression of HLA-A2:WT1 complex under certain concentrations of the drugs and incubation time. As proteasome inhibitors, carfilzomib could significantly decreased the expression of HLA-A2:WT1, while bortezomib had no significant effect on HLA-A2:WT1 expression.
CONCLUSION
HLA-A2:WT1 TCR-like antibody can effectively reflect the APM function. Some of the anti-tumor drugs can affect the APM function and immunogenicity of tumor cells.
Humans
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Leukemia, Myeloid, Acute/immunology*
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Antineoplastic Agents/pharmacology*
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Antigen Presentation/drug effects*
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HLA-A2 Antigen/immunology*
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Receptors, Antigen, T-Cell/immunology*
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Cell Line, Tumor
;
Interferon-gamma
5.Mechanism of Regulating MK2 to Improve Bone Marrow Inflammatory Damage after Hematopoietic Stem Cell Transplantation.
Zhao-Hui WANG ; Bo LONG ; Yu-Han WANG ; Zhi-Ting LIU ; Zi-Jie XU ; Shuang DING
Journal of Experimental Hematology 2025;33(5):1453-1460
OBJECTIVE:
To investigate the role of MK2 inhibitor MMI-0100 on inflammatory response after allogeneic hematopoietic stem cell transplantation (allo-HSCT) and related mechanisms.
METHODS:
An allo-HSCT mouse model was established. Recipient rats were randomly divided into BMT+NaCl group and BMT+MMI-0100 group, and were injected with NaCl and MMI-0100 every day after transplantation, respectively. Samples of the two groups were collected on d 7 and 14, femur paraffin sections were stained with HE, and pathological changes in the bone marrow cavity were observed under the light microscope. The gene and protein expression levels of pro-inflammatory cytokines IL-1β and IL-18 were detected by qPCR and Western blot. Macrophage typing was detected by flow cytometry. The expression levels of NLRP3 and Caspase-1 were detected by Western blot.
RESULTS:
Inflammatory cell infiltration in the bone marrow cavity was significantly reduced in the BMT+MMI-0100 group. Western blot results showed that the protein expression levels of IL-1β and IL-18 in the BMT+MMI-0100 group were decreased compared to the BMT+NaCl group on day 7 and day 14 (all P <0.01). The qPCR results showed that compared to the BMT+NaCl group, the IL-18 gene expression levels in the BMT+MMI-0100 group were significantly reduced on day 7 and day 14 (both P <0.01). In the BMT+MMI-0100 group, the expression level of IL-1β gene decreased on day 7 (P <0.05), but increased and was higher than that in the BMT+NaCl group on day 14 (P <0.05). Flow cytometry results showed that the expression of M1 macrophages and M1/M2 ratio decreased in the BMT+MMI-0100 group compared to BMT+NaCl group (all P <0.05). Western blot results showed that the protein expression levels of NLRP3 and Caspase-1 in the BMT+MMI-0100 group were lower than those in the BMT+NaCl group (all P <0.05).
CONCLUSION
MMI-0100 can ameliorate bone marrow inflammatory injury after allo-HSCT and may act by reducing NLRP3 expression to promote M2 polarization.
Animals
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Interleukin-1beta/metabolism*
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Rats
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Interleukin-18/metabolism*
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Hematopoietic Stem Cell Transplantation/adverse effects*
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Mice
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NLR Family, Pyrin Domain-Containing 3 Protein/metabolism*
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Inflammation
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Bone Marrow/pathology*
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Protein Serine-Threonine Kinases/metabolism*
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Intracellular Signaling Peptides and Proteins/antagonists & inhibitors*
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Caspase 1/metabolism*
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Macrophages
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Transplantation, Homologous
6.Early efficacy of local tranexamic acid in reducing postoperative swelling in hallux valgus surgery.
Ning SUN ; Xuewen WANG ; Yong WU ; Shuang REN ; Heng LI ; Hui DU ; Xiaofeng GONG
Journal of Peking University(Health Sciences) 2025;57(1):172-177
OBJECTIVE:
To evaluate the early efficacy of local application of tranexamic acid on the osteotomy surface during hallux valgus surgery in reducing postoperative occult blood loss and thus postoperative swelling.
METHODS:
The data of 40 cases with hallux valgus osteotomy admitted to the Department of Foot and Ankle Surgery of Jishuitan Hospital from July 11, 2022 to October 8, 2022, including 5 males and 35 females were retrospectively analyzed. According to the inclusion and exclusion criteria, 32 cases were finally divided into 16 cases in the observation group (application of tranexamic acid) and 16 cases in the control group (no application of tranexamic acid). The observation group was paired with the control group one by one in accordance with the operation style, and the change in the anterior and posterior diameter of the first metatarsal head, the change in the circumferential diameter of the foot, the length of the first metatarsal midline and the length of the plumbline of the foot measured by postoperative CT were compared between the two groups before and after surgery, in order to evaluate the degree of swelling around the incision after the surgery. The first metatarsal midline and plumb line were measured by reference to the two auxiliary lines that intersect the soft tissue border in the sesamoid bone position to measure the rotation angle of the first metatarsal. A total of three clinicians completed the measurements of these two line segments and interobserver comparisons were performed.
RESULTS:
By interobserver comparison, the consistency of the length of the midline of the first metatarsal and the plumbline measured by CT was high and could be considered a reliable measurement. After the paired t-test, there was no statistical difference in the amount of changes in the anteroposterior diameter of the first metatarsal before and after surgery between the observation and control groups (P>0.05), and the amount of changes in the circumferential diameter of the foot before and after surgery was smaller in the observation group than in the control group, which was statistically significant (P < 0.05); the length of the midline of the first metatarsal and the plumbline of the foot measured by CT after surgery was smaller in the observation group than in the control group, which was statistically significant (P < 0.05).
CONCLUSION
Local application of tranexamic acid on the osteotomy surface during hallux valgus osteotomy can relieve postoperative swelling to some extent, which may be related to the fact that tranexamic acid reduces occult blood loss in the postoperative period.
Humans
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Hallux Valgus/surgery*
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Tranexamic Acid/administration & dosage*
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Female
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Male
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Osteotomy/adverse effects*
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Retrospective Studies
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Edema/etiology*
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Adult
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Middle Aged
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Postoperative Complications/prevention & control*
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Antifibrinolytic Agents/administration & dosage*
7.A deep learning model based on magnetic resonance imaging and clinical feature fusion for predicting preoperative cytokeratin 19 status in hepatocellular carcinoma
Weiyang FANG ; Hui XIAO ; Shuang WANG ; Xiaoming LIN ; Chaomin CHEN
Journal of Southern Medical University 2024;44(9):1738-1751
Objective To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging(MRI)deep learning features with clinical features for preoperative prediction of cytokeratin 19(CK19)status of hepatocellular carcinoma(HCC).Methods A retrospective experiment was conducted based on the data of 116 HCC patients with confirmed CK19 status.A single sequence multi-scale feature fusion deep learning model(MSFF-IResnet)and a multi-scale and multi-modality feature fusion model(MMFF-IResnet)were established based on the hepatobiliary phase(HBP),diffusion weighted imaging(DWI)sequences of enhanced MRI images,and the clinical features significantly correlated with CK19 status.The classification performance of the models were evaluated to assess the effectiveness of the deep learning models for predicting CK19 status of HCC before surgery.Results Multivariate analysis showed that an increased neutrophil-to-lymphocyte ratio(P=0.029)and incomplete tumor capsule(P=0.028)were independent predictors of CK19 expression in HCC.The deep learning models improved by multi-scale feature fusion and multi-modality feature fusion methods achieved better classification results than the traditional machine learning models and baseline models,and the final MMFF-IResnet model showed the best classification performance with an AUC of 84.2%,an accuracy of 80.6%,a sensitivity of 80.1%and a specificity of 81.2%.Conclusion The multi-scale and multi-modality feature fusion model based on MRI and clinical parameters is capable of predicting CK19 status of HCC,demonstrating the feasibility of combining deep learning methods with MRI and clinical features for preoperative prediction of CK19 status.
8.Cancer survival analysis in Tianjin, 2010 to 2016
Chong WANG ; Chengfeng SHEN ; Luning XUN ; Shuang ZHANG ; Hui ZHANG ; Wenlong ZHENG ; Dezheng WANG
Chinese Journal of Oncology 2024;46(4):319-325
Objective:Survival analysis of cancers' incidence data in Tianjin from 2010 to 2016 was conducted to provide the basis for formulating and evaluating regional health policies on cancer prevention and treatment.Methods:Registration data in Tianjin were used between January 1, 2010 to December 31, 2016 and patients were followed-up till 31 December, 2021. Life-table method was used to calculate the observed survival rate and Edered Ⅱ was used to calculate the relative survival rate. The data were stratified by year, gender, age group and cancer sites. Difference in survival curves between group was analyzed by Kaplan-Meier method and Log rank test. Joinpoint regression model was used to analyze the trend change.Results:The 5-year relative survival rates of cancer were 41.92% to 53.65% from 2010 to 2016 for residents in Tianjin, with an increasing trend ( t=4.81 ,P=0.005), and the average was 48.56%. The survival rate of females was higher than that of males (57.71%vs. 39.20%), and the survival rate of urban residents was higher than that of rural residents (49.38% vs. 47.24%). The 5-year relative survival rates were 63.14%, 78.39%, 58.25% and 32.67% in 0-14, 15-44, 45-64 and 65 and above age groups, respectively. The median relative survival times of all cancer were 2.34 to 6.00 years from 2010 to 2016 in Tianjin, with an increasing trend ( t=3.86, P=0.012). The average of median relative survival times was 4.11 years. The median survival time of females was longer than that of males (11.99 years vs. 2.03 years), and the time of urban residents were longer than that of rural residents (4.60 years vs. 3.43 years). The median relative survival time were 12.07, 11.92 and 1.34 years in 15-44, 45-64 and 65 and above age groups, respectively. Conclusions:The cumulative survival rate of cancer increased significantly from 2010 to 2016 in Tianjin, indicating that the prevention and treatment effect of cancer is obvious. The focus should be on male, rural areas, higher age group, and targeted prevention and treatment measures should be taken to lung, esophagus, liver, gallbladder and pancreatic cancer.
9.Analysis on trends of mortality rate and disease burden of liver cancer in Tianjin, China from 1999 to 2021
Dezheng WANG ; Shuang ZHANG ; Hui ZHANG ; Chengfeng SHEN ; Chong WANG ; Luning XUN ; Wenlong ZHENG ; Guohong JIANG
Chinese Journal of Oncology 2024;46(11):999-1008
Objective:To explore the trends and distribution of liver cancer between sexes, ages, and urban-rural areas in Tianjin, China from 1999 to 2021, and provide data for targeted prevention and control strategies of liver cancer in Tianjin.Methods:Liver cancer mortality data of Tianjin during 1999-2021 were from the Tianjin population based mortality surveillance system maintained by the Tianjin Centers for Disease Control and Prevention (CDC), and the population data of permanent Tianjin residents were from Tianjin Municipal Public Security Bureau. Liver cancer mortality, years of life lost (YLL), years lived with disability (YLD), and disability adjusted life years (DALY) were calculated using the cause of death surveillance data collected by Tianjin Centers for Disease Control and Prevention. The distributions of these data among residents of different sexes, ages, and regions were analyzed. Segi's world standard population was used for standardization. Joinpoint regression was used for trend analysis on the mortality rate of liver cancer and the disease burden.Results:The liver cancer mortality rate in Tianjin decreased by 46.75% from 1999 to 2021, with distinct phased characteristics. From 1999 to 2010, the age-sex-standardized mortality rate (SMR) decreased from 12.62/100 000 to 11.64/100 000 with an annual percent change (APC) of -1.32% ( P=0.003). From 2010 to 2021, the SMR decreased from 11.64/100 000 to 6.72/100 000 (APC=-3.89%, P<0.001). The age-sex-standardized DALY rates(SDR) decreased by 50.63% from 1999 to 2021, also with distinct phased characteristics. From 1999 to 2010, the SDR decreased from 388.67/100 000 to 349.38/100 000 (APC=-1.35%, P=0.002). From 2010 to 2021, the SDR decreased from 349.38/100 000 to 191.88/100 000 (APC=-4.43%, P<0.001). The liver cancer mortality rate declined most rapidly in the age group under 45 years; the APC for those under 35 years was -5.07% ( P<0.001), and for those aged 35-44 years, the APC was 0.63% ( P=0.707) and -8.21% ( P<0.001) before and after 2007, respectively. Both SMR and SDR were significantly higher in males than in females ( P<0.01). Both SMR and SDR were significantly higher in urban areas than in rural areas from 1999 to 2007 ( P<0.05), but they became similar after 2008. Liver cancer DALY are predominantly YLL, accounting for 99%. The median age of liver cancer deaths in Tianjin during 1999-2021 was 64-68 years old, with males lower than females ( P<0.05), and rural areas lower than urban areas ( P<0.05), generally showing an increasing trend (1999-2014: APC=0.11%, P=0.047; 2014-2021: APC=0.51%, P=0.005). Conclusions:Liver cancer mortality rate and disease burden decreased from 1999 to 2021 in Tianjin, with an especially accelerated decline after 2010. Further efforts to reduce liver cancer mortality in Tianjin are needed, and special attention should be focused on the elderly, male, and rural residents.
10.Study on the relationship between HBV gene mutation and disease progression in patients with hepatitis B virus infection
Suya HAN ; Shuang ZHANG ; Lin TANG ; Qudong SU ; Fuzhen WANG ; Feng WANG ; Hui ZHENG ; Feng QIU ; Hongyi LI ; Yu WANG ; Liping SHEN
Chinese Journal of Experimental and Clinical Virology 2024;38(1):21-28
Objective:To analyze the whole genome sequence and key site mutations of hepatitis B virus (HBV) in patients with different stages of disease progression, and to understand the relationship between HBV genetic characteristics and disease progression.Methods:Serum samples and basic information of hepatitis B patients with asymptomatic HBV carrier, chronic hepatitis B patients, cirrhosis patients and primary hepatocellular carcinoma patients were collected. Nested PCR was used to amplify the samples to obtain HBV whole gene sequences. Phylogenetic trees were constructed to determine the genotype of the samples, and gene mutations of the samples were analyzed combined with reference sequences of each type.Results:A total of 256 samples were successfully amplified, including 68 asymptomatic HBV carrier patients, 118 CHB patients, 15 LC patients and 55 HCC patients, and five genotypes (B, C, D, I and C/D) were detected. The result of comparative analysis showed that the mutation rate of 56 nucleotide sites was significantly different among the four groups ( P<0.05). In addition to the discovery of C105T, A1762T/G1764A and G1899A and other previously reported key site mutations, the mutation rates of T53A, C1485T and C1628T in newly diagnosed HCC group were significantly higher than those in other groups, and the mutation rates of T2150G and T2151C in asymptomatic HBV infection group were significantly higher than those in other groups. A total of 26 sequences were deleted, mainly distributed in the pre-C and pre-S regions. The deletion mutation rate in the HCC group was significantly higher than that in the other groups. Conclusions:The data of this study indicate that some nucleotide substitution mutations and deletion mutations may be closely related to the occurrence and development of HBV-related diseases, and HCC patients are more likely to have gene mutations than non-HCC patients. These result provide a reference for understanding the relationship between viral mutation and the progression of HBV infection-related diseases.

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