With the rapid aging of the global population, the demand for prosthodontic rehabilitation of partial edentulism continues to increase. Among the available treatment options, removable partial dentures remain an essential clinical modality for restoring partially edentulous arches and masticatory function because of their broad indications, minimal invasiveness, and cost-effectiveness. However, unlike fixed prosthodontics, which have undergone substantial digitalization, removable partial denture therapy is characterized by dual tooth-tissue support, complex biomechanics, and highly variable anatomical morphology. As a result, the digital design and fabrication of removable partial dentures have long faced major bottlenecks, including limited standardization, steep learning curves, and heavy dependence on expert experience. In recent years, artificial intelligence (AI) has undergone a paradigm shift from early expert systems to machine learning and deep learning, creating new opportunities to address the complexity and precision demands of removable partial denture design. Based on a comprehensive literature review and our team's clinical experience, this article systematically elaborates on the specific applications and normative standards of AI throughout the entire removable partial denture fabrication workflow. In the data acquisition phase, we emphasize multimodal data fusion and digital pressure impression strategies. In the intelligent diagnosis and planning phase, deep learning is utilized to achieve the automatic identification of edentulous areas and undercuts, while machine learning and expert systems assist in abutment selection and treatment plan generation. Regarding automated design logic, the article analyzes the process from the intelligent planning of the common path of insertion to parametric design based on biomechanical optimization. At the clinical operation level, a standardized human-machine collaborative workflow of “AI generation-clinician review-local fine-tuning” is proposed. In terms of ethics and accountability, the principles of algorithmic transparency and “the clinician as the ultimate responsible subject” are emphasized. Furthermore, integrating clinical practice, this article innovatively proposes a “capability grading system for AI-assisted removable partial denture design (comprising the auxiliary analysis level, the rule-based design level, and the intelligent adaptive level)”. The aim is to offer practical recommendations for dental clinicians, dental technicians, and researchers, thereby facilitating the transition of removable partial denture prosthodontics toward greater precision, intelligence, and standardization.

Objective:To establish ferroptosis-related risk characteristics, to evaluate the prognostic correlation of ferroptosis-related genes in hepatocellular carcinoma, and to explore the complex relationship between hepatocellular carcinoma, ferroptosis and immune microenvironment.Methods:The bioinformatics analysis involved obtaining ferroptosis-related differentially expressed genes (DEGs) from the GeneCards database and the cancer genome atlas database. The biological functions of ferroptosis-related DEGs were analyzed using gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment. Ferroptosis-related DEGs clusters were identified using univariate Cox regression analysis and cluster analysis, etc. The correlation between ferroptosis-related DEGs clusters and tumor immune microenvironment and tumor occurrence score was evaluated using immunopanoramic analysis and tumor-related score analysis. Based on ferroptosis-related characteristics, a ferroptosis-related characteristic spectrum and nomogram were constructed using multivariate Cox regression and correlation analysis, etc. The correlation between the risk characteristics and tumor immune microenvironment, tumor occurrence score and gene mutation were evaluated using immune panoramic analysis, tumor-related score analysis and gene mutation analysis. In the experimental verification stage, the mRNA expression levels of aurora kinase A ( Aurka), acetyl-CoA carboxylase alpha ( Acaca) and arrestin domain containing 3 ( Arrdc3) in mouse primary hepatocytes and mouse hepatoma Hepa1-6 cells were verified by real-time reverse transcription-PCR (RT-qPCR). The mRNA expression levels of AURKA, ACACA and ARRDC3 in adjacent normal tissues and tumor tissues of patients with hepatocellular carcinoma were verified by RT-qPCR. A heat map was used to show the correlation between clustering and clinical parameters, and this was analyzed using a chi-square test. Significance analysis was performed using a two-sided unpaired t test. Results:A total of 35 up-regulated genes and 19 down-regulated genes were identified. These genes were mainly involved in biological processes and signaling pathways related to ferroptosis, oxidative stress and fatty acid metabolism. A total of 14 ferroptosis-related DEGs were identified to be associated with prognosis. The clusterring effect was best when hepatocellular carcinoma patients were divided into two subgroups. The survival rate of cluster 2 was lower than that of cluster 1 ( P<0.05). There was no significant difference in the tumor immune dysfunction and exclusion (TIDE) score between cluster 2 and cluster 1 ( P=0.43). Cluster 1 exhibited higher levels of immune cell infiltration, particularly CD4 + T cells ( P<0.01). The expression levels of 10 major histocompatibility complex (MHC) molecule-related genes were higher in cluster 1. The angiogenesis activity score ( P=0.048) and stemness score ( P=0.038) of cluster 2 were increased, and the expression levels of programmed death-1 ( PDCD1) and cytotoxic T lymphocyte-associated antigen-4 ( CTLA-4) in cluster 2 (5.924±0.013 and 5.475±0.042) were higher than those in cluster 1 (4.539±0.143 and 4.372±0.176) (both P<0.05). The expression levels of AURKA, glucose-6-phosphate dehydrogenease ( G6PD), ACACA, GABA type A receptor associated protein like 1 ( GABARAPL1) and ARRDC3 were correlated with the T stage, clinical stage and survival status of hepatocellular carcinoma. The survival rate of the high-risk group was lower than that of the low-risk group with time ( P<0.01). The area under the curve of the risk characteristics at 1, 3 and 5 years was 0.797, 0.717 and 0.639, respectively. The actual survival time 1, 3, and 5 years was highly consistent with the corresponding predicted survival time. The levels of memory B cell infiltration, angiogenesis activity score and cell stemness score, programmed death-ligand 1, CTLA-4, hepatitis A virus cell receptor 2, lymphocyte activation gene 3 and PDCD1 gene expression (0.013 8±0.036 0, 0.884±0.212, 0.387±0.135, 6.273±0.228, 5.847±0.331, 8.179±0.259, 6.859±0.263 and 5.142±0.326) in the high-risk group were higher than those in the low-risk group (0.001 5±0.021 0, 0.874±0.132, 0.298±0.125, 5.866±0.132, 3.742±0.237, 7.236±0.321, 6.324±0.242 and 4.513±0.211) ( P<0.05, 0.01). The expression levels of MHC molecule-related genes in the high-risk group were also higher than those in the low-risk group ( P<0.05, 0.01), while the infiltration levels of resting mast cells, activated natural killer cells, and resting natural killer cells (0.043 2±0.135 0, 0.032 1±0.143 0 and 0.016 3±0.001 9) and the TIDE score (0.072 0±0.018 0) in the high-risk group were lower than those in the low-risk group (0.054 9±0.023 0, 0.042 7±0.017 0, 0.024 6±0.021 2 and 0.094 0±0.013 5) ( P<0.05, 0.01). The top five genes with the highest mutation frequency in the high-risk group were tumor protein P53 ( TP53, 43%), titin ( TTN, 21%), catenin beta 1 ( CTNNB1, 20%), mucin 16 ( MUC16, 18%) and piccolo presynaptic cytomatrix protein ( PCLO, 11%). The top five genes with the highest mutation frequency in the low-risk group were CTNNB1 (30%), TTN (24%), albumin ( ALB, 16%), MUC16 (15%) and PCLO (11%). The cube protein and PCLO showed the co-occurrence of gene mutations in the high-risk group, while MUC16 and axis 1 protein showed the co-occurrence of gene mutations in the low-risk group. There was no significant difference in tumor mutation burden (TMB) between the high-risk group (1.374±0.026) and the low-risk group (1.303±0.081) ( P=0.073). There was no significant difference in survival time between the high-TMB group (2.3 years) and the low-TMB group (3.8 years) ( P=0.293). The mutation rates of AURKA, G6PD, ACACA, GABARAPL1 and ARRDC3 genes (2.0%, 2.0%, 4.0%, 0.3% and 0.6%) were relatively low. The relative expression levels of Aurka, Acaca and Arrdc3 mRNA in Hepa1-6 cells (13.331±0.000, 6.619±0.000 and 1.209±0.002) were higher than those in mouse primary hepatocytes (1.000±0.000, 1.000±0.000 and 1.000±0.000) (all P<0.01). The relative expression levels of AURKA, ACACA and ARRDC3 mRNA in tumor tissues of patients with hepatocellular carcinoma (2.102±0.365, 2.476±0.351 and 11.460±9.189) were higher than those in adjacent normal tissues of patients with hepatocellular carcinoma (1.122±0.648, 0.831±0.935 and 0.852±0.171) ( P<0.05, 0.01). Conclusions:This study constructed a prognostic signature comprising five ferroptosis-related genes ( AURKA, G6PD, ACACA, GABARAPL1, and ARRDC3) that is highly correlated with clinical hepatocellular carcinoma data. This study highlights the significance of ferroptosis-related genes as prognostic markers for hepatocellular carcinoma and provides insights into the complex relationship between hepatocellular carcinoma, ferroptosis, and the immune microenvironment.

ObjectiveTo examine the relationship between metabolic syndrome (MS) and its key components in granulomatous mastitis (GM), we explored potential pathological mechanisms through the lens of traditional Chinese medicine (TCM), particularly the concept of intermingled phlegm-blood stasis.MethodsIn this retrospective study, we enrolled 172 patients with GM and 164 patients with non-inflammatory benign breast masses. Metabolic indicators (waist circumference [WC], blood lipids, etc.), inflammatory markers (C-reactive protein, interleukin-6, tumor necrosis factor-α), and adipose tissue CD68 expression were measured. Logistic regression was used to analyze risk factors and receiver operating characteristic curves were used to evaluate diagnostic efficacy. The correlation between TCM pathogenesis and biomarkers was also examined.ResultsMS prevalence was significantly higher in the GM group than in the controls (26.16% vs. 6.10%, P .001). Multivariate analysis identified abdominal obesity (WC ≥ 80 cm, odds ratio [OR] = 1.065) and low levels of high-density lipoprotein cholesterol (HDL-C; 1.29 mmol/L, OR = 0.066) as independent risk factors for GM (P .001 for both). Among patients with GM, HDL-C levels were inversely correlated with inflammatory markers (r = −0.341 to −0.440), whereas patients with concurrent MS demonstrated greater CD68 macrophage infiltration (P .001). According to TCM, abdominal obesity corresponds to “spleen deficiency with phlegm-dampness accumulation,” and low HDL-C reflects “deficiency of vital qi,” which collectively lead to phlegm-blood stasis obstruction in the mammary collaterals; this aligns with the key MS driving mechanisms of chronic inflammation and immune dysregulation.ConclusionMS promotes GM development through chronic inflammation and immune dysregulation, with abdominal obesity and low HDL-C levels serving as core risk factors. The TCM theory of intermingled phlegm-blood stasis provides a novel interpretation of the metabolic-inflammatory mechanisms underlying GM. Accordingly, we propose phlegm-resolving and blood-activating strategies as potential therapeutic approaches for metabolic–immune axis regulation.

Objective:To investigate the value of quantitative parameters of dual-layer detector spectral CT (DLCT) in preoperative prediction of lymphovascular invasion (LVI) in invasive lung adenocarcinoma.Methods:This study employed a cross-sectional design. The data of 91 patients with primary lung adenocarcinoma confirmed by postoperative pathology who underwent DLCT enhanced scanning in the First Affiliated Hospital of Zhengzhou University from March 2022 to July 2024 were retrospectively collected. The patients were divided into LVI positive group and LVI negative group according to the postoperative pathology. Gender, age, smoking status, and lesion location were recorded,the clinical T-stage and N-stage were evaluated. Spectral base data images were generated based on the spectral reconstruction algorithm. Conventional CT features such as the size and density of the lesions were analyzed. The DLCT quantitative parameters such as 40 keV single-energy CT value (CT 40 keV), iodine density (ID), standardized iodine density (NID), and effective atomic number (Z eff) were measured. The differences of parameters between the two groups were compared using t-test, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analysis was used to identify independent factors for predicting invasive lung adenocarcinoma LVI. The predictive performance of individual parameters and their combinations for LVI in invasive lung adenocarcinoma was evaluated using receiver operating characteristic curve analysis and area under the curve (AUC) measurements. Results:There were significant differences in age, T stage, N stage, maximum diameter, focal density, and arteriovenous stage NID and Z eff between the LVI positive group and the LVI negative group ( P<0.05). Multiple logistic regression analysis showed that age ( OR=0.890, 95% CI 0.821-0.966), N stage( OR=12.721, 95% CI 2.676-60.473) and venous stage Z eff( OR=0.012,95% CI 0-0.668) were independent factors for predicting invasive lung adenocarcinoma LVI ( P<0.05). The combination of age, N stage, and venous-phase Z eff values demonstrated the highest predictive efficacy for LVI in invasive lung adenocarcinoma, with an AUC of 0.916. Conclusions:The quantitative parameters of DLCT are helpful for preoperative prediction of LVI status of invasive lung adenocarcinoma. The Z eff in the venous stage is an independent predictor, the combination of multiple parameters can further improve the diagnostic efficiency.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

[Purpose]To investigate the potential causal relationships between serum levels of trace elements and head and neck cancers.[Methods]Single nucleotide polymorphism(SNP)of oral cancer,oropharyngeal cancer,laryngeal cancer and thyroid cancer,associated with calcium,copper,iron,magnesium,zinc,were obtained from genome-wide association studies(GWAS).A two-sample bidirectional Mendelian randomization(MR)analysis was performed using the inverse variance weighting(IVW)method by calculating odds ratio(OR)and 95％confidence interval(CI).Pleiotropy was assessed using MR-PRESSO and MR-Egger regression,and sensitivity analysis was conducted via the"leave-one-out"method.[Results]IVW analysis revealed a causal association between serum magnesium levels and the incidence of oral cancer(OR=0.976,95％CI:0.956～0.997,P=0.025),also between thyroid cancer and serum calcium levels(OR=1.008,95％CI:1.001～1.015,P=0.023).No significant causal associations were observed between other trace ele-ments and head and neck cancers(all P＞0.05).[Conclusion]This MR study suggests that serum magnesium levels serve as a protective factor against oral cancer,while thyroid cancer leads to el-evated serum calcium levels.

Objective:To explore the effect of hairy and enhancer of split related protein 2 (Hey2) on osteoclast differentiation through the activation of nuclear factor of activated T cells cytoplasmic 1 (NFATc1).Methods:RAW264.7 cells were induced with receptor activator of NF-κB ligand (RANKL) to differentiate into osteoclasts. Experimental groups were divided by different concentrations of RANKL (0, 10, 20, 50 μg/L) and different processing time (0, 3, 5, 7 days). Hey2 overexpression experiment was grouped as follows: blank control group, RANKL group, empty plasmid vector control group (Hey2-NC+RANKL), Hey2 overexpression group (Hey2-OE+RANKL); similarly, groups in Hey2 knockdown experiment were as follows: blank control group, RANKL group, negative control group (si-NC+RANKL), Hey2 knockdown group (si-Hey2+RANKL). Chromatin immunoprecipitation experiment groups were divided as non-specific IgG control group (IgG control group), non-specific IgG group (IgG RANKL group), Hey2-specific antibody control group (anti-Hey2 control group), Hey2-specific antibody group (anti-Hey2-RANKL group). For the different RANKL concentration groups and different induction time groups, real-time fluorescent quantitative PCR (RT-qPCR) was used to detect the mRNA expressions of nuclear factor of NFATc1, cathepsin K (CTSK), and cellular feline osteosarcoma oncogene (c-Fos) and tartrate-resistant acid phosphatase (TRAP) staining was used to assess the formation of multinucleated osteoclasts. After Hey2 overexpression or knockdown, RT-qPCR and Western blotting were used to detect the gene and protein expressions of NFATc1, c-Fos, and CTSK. TRAP staining was used to evaluate the formation of multinucleated osteoclasts. Bioinformatics prediction (NCBI, JASPAR) and chromatin immunoprecipitation (ChIP) assay were used to validate the binding of Hey2 to the NFATc1 promoter region.Results:During the osteoclastic differentiation of RAW 264.7 cells induced by RANKL, the expression of Hey2 could be detected, and the expression level of Hey2 decreased with the increase of RANKL concentration and induction time. In the 50 μg/L RANKL group, the expression levels of Hey2 gene (0.18±0.00) and protein (0.22±0.02) were significantly lower than those in the control group (1.00±0.00, 0.52±0.01) ( t=41.67, 12.88; both P<0.001). In the 50 μg/L RANKL group inducted for 5 days, the expression levels of Hey2 gene (0.27±0.02) and protein (0.79±0.01) were significantly lower than those in the control group (1.00±0.00, 1.15±0.02) ( t=11.47, 108.60; both P<0.001). Hey2 overexpression significantly reduced the gene and protein expressions of NFATc1, c-Fos, and CTSK, as well as the production of TRAP-positive cells (all P<0.05). Hey2 knockdown significantly increased the gene and protein expressions of NFATc1, c-Fos, and CTSK, as well as the production of TRAP-positive cells (all P<0.05). After inducing RAW264.7 cells with 50 μg/L RANKL for 1 day, ChIP results showed that among the two sample groups treated with Hey2 antibody, the detection level of the NFATc1 promoter region (-400 to -200 bp) in the anti-Hey2-RANKL group (18.06±0.06) was significantly higher than that in the anti-Hey2 control group (13.37±0.36) ( t=12.56, P<0.001). Conclusions:Hey2 can bind to the downstream target gene NFATc1 at -400 to -200 bp region of the promoter. As a transcriptional repressor, Hey2 inhibits osteoclast differentiation.

Objective:To study the genotype and molecular characteristics of Hantavirus causing hemorrhagic fever with renal syndrome (HFRS) in Shenzhen so as to provide basis for the prevention and control.Methods:The serum samples of HFRS patients at acute stage were collected from hospitals, and viral RNA from the sera was extracted as a template for typing detection by real-time fluorescent PCR. The nucleotide sequences of M fragment (G2 segment) and S fragment were amplified by reverse transcription-nested polymerase chain reaction (RT-nested PCR). The PCR products were then sequenced and homology and phylogenetic tree analysis were conducted.Results:In a total of 123 HV IgM antibody positive serum samples were collected in Shenzhen from 2015 to 2023, including 97 males and 26 females. Most of patients were young and middle-aged men. Cases were found throughout the year, with high incidence in spring and early summer. The result of fluorescence PCR showed that among 92 clinical specimens, 63 cases (68.5%) were tested positive for hantavirus genotypes, 59 cases (93.7% of positives) were identified as SEOV and 4 cases (6.3% of positives) as HTNV. Notably, all HTNV-positive patients were male. Analysis on nucleotide homology and phylogenetic tree showed that the difference in nucleotide sequences among SEO viruses in Shenzhen was small, and most of them were S2 subtype except for two cases of S3 subtype. The mutation rate of HTN viruses was high, with two cases of H5 subtype and two cases of H8 subtype.Conclusions:The major genotype of hantavirus causing HFRS in Shenzhen is SEO genotype, especially S2 subtype, which is closely related to some strains in Guangzhou, and has high homology with L99, Z37 and other vaccine strains. The existence of S3 subtype cases was detected for the first time in Shenzhen, while some cases of HTNV were still imported.

ObjectiveTo investigate the expression features of HBsAg and HBcAg in liver tissue and their correlation with HBV serum markers in children with chronic hepatitis B （CHB）. MethodsA total of 257 patients who were consecutively admitted to The Fifth Medical Center of Chinese PLA General Hospital from January 2013 to December 2023 and underwent liver biopsy to achieve a confirmed diagnosis of CHB were enrolled in this study. The NIS-Elements system was used to capture the immunohistochemical images of HBsAg and HBcAg in liver tissues， and Image J software was used for quantitative analysis. The one-sample chi-square test was used for within-group comparison of continuous data， and the Pearson/Spearman/Kendall’s Tau-b correlation analysis was used to investigate the correlation between viral antigen expression and serological markers. ResultsAmong the 257 CHB patients， there were 162 children （76 children aged<5 years and 86 children aged 5 — 18 years） and 95 adults. There were significant differences in the expression pattern， area， and intensity of HBsAg and the area and intensity of HBcAg in liver tissue between different age groups and between the children with different HBeAg statuses （all P<0.05）. In the children aged<5 years， HBsAg staining area was significantly negatively correlated with anti-HBs and HBeAg （both P<0.05）and was significantly positively correlated with ALT and AST （both P<0.05）， and HBsAg staining intensity was significantly positively correlated with qHBsAg （P<0.05） and was significantly negatively correlated with anti-HBs （P<0.05）. In the children group， HBsAg staining area was negatively correlated with anti-HBs and HBeAg （both P<0.05）， and HBsAg staining intensity was positively correlated with qHBsAg （P<0.05） and was negatively correlated with anti-HBs （P<0.05）. In the adult group， HBsAg staining area was positively correlated with ALT， AST， and liver inflammatory activity （all P<0.05）， and HBsAg staining intensity was positively correlated with qHBsAg， HBeAg， and HBV DNA （all P<0.05） and was negatively correlated with liver inflammatory activity and fibrosis degree （both P<0.05）. In the children aged<5 years， HBcAg staining area was positively correlated with qHBsAg and HBV DNA （both P<0.05）， and HBcAg staining intensity was significantly positively correlated with HBV DNA （P<0.001）. In the children aged 5 — 18 years， the area and intensity of HBcAg staining were positively correlated with qHBsAg， HBeAg， and HBV DNA （all P<0.05）. In the children group， HBcAg staining area was positively correlated with qHBsAg， HBeAg， and HBV DNA （all P<0.05）， and HBcAg staining intensity was positively correlated with qHBsAg and HBV DNA （both P<0.05）. In the adult group， the area and intensity of HBcAg staining were positively correlated with qHBsAg， HBeAg， and HBV DNA （all P<0.001）， and HBcAg staining area was positively correlated with the serum level of ALT （P=0.043）. ConclusionThe expression levels of HBsAg and HBcAg in liver tissue of children with CHB are significantly correlated with serological markers， and in clinical practice， HBsAg and HBcAg combined with serological markers can help to assess the condition of the liver， determine the immune stage， and provide evidence-based guidance for treatment timing.