Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To explore method for improving the colonization efficiency of Helicobacter pylori(Hp)in the mouse stomach and to determine if the proton pump inhibitor(PPI)pantoprazole can act as a colonization adjuvant to enhance Hp colonization,with the aim of providing an effective tool for establishing an Hp infection mouse model.Methods The Hp Sydney strain 1(SS1)was introduced and solid plate and liquid culture systems were established.The effects of different doses of pantoprazole on gastric acid secretion in mice were compared.The impact of Hp inoculation,alone or combined with pantoprazole pretreatment,on Hp colonization efficiency was analyzed using rapid urease tests,bacterial plate cultures,and TaqMan quantitative polymerase chain reaction.Results PPI pretreatment inhibited gastric acid secretion and promoted Hp colonization in the mouse stomach,to some extent.Conclusions PPI can serve as colonization adjuvants to enhanc e the efficiency of constructing Hp infection mouse models.

Objective:To analyze the genetic characteristics and evolutionary origin of hepatitis B virus (HBV) subgenotype D3 in China in 2020.Methods:Serum samples and demographic details from patients infected with HBV D3 subgenotype were collected. HBV genomic sequences were obtained by nested PCR amplification and subsequent sequencing. Phylogenetic analysis, nucleotide homology, amino acid mutation and evolution rate of the S protein were conducted by comparing with reference sequence using bioinformatics tools.Results:The complete HBV gene sequences of 14 samples of D3 subtype HBV were obtained. Compared with 97 reference sequences, it was found that the sequences with the highest homology were from India, Mongolia, Iran and China, with the homology ranging from 96.0% to 97.9%. Mutations of 24 amino acids were found in 14 strains of D3 subtype. Among them, T131A, Y134F and T140I were associated with immune escape-related mutations. The genetic diversity of HBV D3 subtype increased slowly before 1975, remained relatively constant from 1975 to 2000, and began to decline after 2000. Evolutionary rate analysis showed that samples QGLD D3-02 and 03 originated from a common ancestor with the Iranian reference strain in 1872, and the other 12 samples QGLD D3-04-17 originated from a common ancestor with the Mongolian reference strain in 1843.Conclusions:The gene sequence of HBV D3 subtype in China had the highest homology with reference sequences from India, Iran, Mongolia and China. Evolutionary rate analysis revealed that 14 cases of HBV D3 subtype originated from a common ancestor with reference strains from Mongolia and Iran, which enriched the sequence and evolution information of HBV D3 subtype and provided a reference basis for the molecular epidemiological study of HBV.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective To investigate the roles of glucose-regulated protein 75(GRP75)and voltage-dependent anion channel 1(VDAC1)in heroin-induced arrhythmia.Methods Based on transcriptomic data from primary myocardial cells treated with heroin and the GSE31821 dataset from the Gene Expression Omnibus(GEO),differentially expressed genes(DEGs)were identified using R software.Enrichment analysis of DEGs was performed.The protein-protein interaction(PPI)network was constructed using STRING database,and key genes were selected using Cytoscape.Molecular docking of key genes was performed using HDOCK,followed by in vivo valida-tion.A total of 60 SD rats were randomly divided into control,model,model+7 d,model+14 d,and model+21 d groups.A rat model of heroin addiction was established,and the expression levels of DEGs in myocardial tissue were assessed using immunohistochemical staining and quantitative real-time PCR.Results A total of 51 DEGs primarily enriched in muscle cell development,myofibrils,actin binding,arrhythmic right ventricular cardiomyopathy,calcium signaling,and apoptosis pathways were identified.Based on the PPI and Cytoscape analyses,GRP75 and VDAC1 were identified as key genes.Molecular docking indicated a strong interaction between GRP75 and VDAC1,which form a stable complex.The results of immunohistochemical staining and qRT-PCR showed that the expression levels of GRP75 and VDAC1 were significantly increased in the model group compared to those in the control group(P＜0.05),and their expres-sion increased(P＜0.05)with the intervention period of heroin in a time-dependent manner.Conclusion GRP75 and VDAC1 may con-tribute to heroin-induced arrhythmogenesis.

Objective To investigate the potential value of nobiletin(NOB)in the treatment of dry eyes in type 2 di-abetes mellitus(T2DM-DE)and its effect on the expression of cystic fibrosis transmembrane conductance regulators(CFTRs).Methods The T2DM mouse model was established by a high-fat diet combined with streptozotocin,and then the T2DM-DE mouse model was induced by benzalkonium chloride.These mice were divided into 6 groups:the NC group,the T2DM-DE group,the L-NOB group,the M-NOB group,the H-NOB group,and the CFTR inhibitor group.Mice in the NC and T2DM-DE groups were provided with phosphate buffer saline(PBS)containing 0.5％Tween80 through oral ga-vage;those in the L-NOB,M-NOB,and H-NOB groups were provided with 50,100,and 200 mg?kg-1?d-1 NOB solu-tions,respectively,through oral gavage;those in the CFTR inhibitor group were provided with 200 mg?kg-1?d-1 NOB solution through oral gavage and intraperitoneally injected with 1 mg?kg-1?d-1 CFTR(inh)-172.The intervention in these groups was provided for 4 weeks.The fasting blood glucose(FPG),tear secretion,tear film break-up time(BUT),corne-al fluorescein sodium staining grade,and interleukin-1 β(IL-1 β),IL-6,IL-8,and tumor necrosis factor-α(TNF-α)levels in tears of mice were detected.Besides,the periodic acid-Schiff(PAS)staining of conjunctival goblet cells and the terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL)staining of the cornea were performed respectively.The mRNA and protein expression levels of CFTRs,Bax,and Bcl-2 in the cornea were measured by the real-time quantitative polymerase chain reaction(RT-qPCR)and Western blot.Results Compared with the NC group,the FPG of mice in the T2DM-DE group increased;the level of IL-1β,IL-6,IL-8,and TNF-α in tears increased;the corneal fluorescein sodium staining grade and TUNEL positive rate increased(all P＜0.05);the tear secretion,BUT,and the number of conjunctival goblet cells decreased;the mRNA and protein expression levels of CFTRs decreased(all P＜0.05).Compared with the T2DM-DE group,the FPG of mice in the L-NOB,M-NOB,and H-NOB groups decreased;the levels of IL-1β,IL-6,IL-8,and TNF-α in tears decreased;the corneal fluorescein sodium staining grade and TUNEL positive rate decreased(all P＜0.05),the tear secretion,BUT,and the number of conjunctival goblet cells increased;the mRNA and protein expression levels of CFTRs increased(all P＜0.05).Compared with the H-NOB group,the FPG of mice in the CFTR inhibitor group increased;the levels of IL-1 β,IL-6,IL-8,and TNF-α in tear increased;the corneal fluorescein sodium staining grade and TUNEL positive rate increased(all P＜0.05);the tear secretion,BUT,and the number of conjunctival goblet cells de-creased;the mRNA and protein expression levels of CFTRs decreased(all P＜0.05).Conclusion NOB can reduce the blood glucose level by activating CFTRs,inhibit inflammation,and promote the survival of conjunctival goblet cells and cor-neal cells in T2DM-DE mice,thus playing a role in the treatment of T2DM-DE.

Objective To explore the role of secreted phosphoprotein 1(SPP1)and myeloid differentiation primary response 88(MYD88)in morphine-induced cardiomyocyte apoptosis.Methods A morphine addiction model was established in Sprague-Dawley(SD)rats.Twelve SD rats were randomly assigned to the normal saline(NS)group or the morphine-dependent(DAM)group.Histopathological analysis was employed to observe and compare myocardial tissue morphology between the two groups.Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL)staining was performed to assess the number of apoptotic cells in each group.The expression levels of SPP1 and MYD88 were evaluated using immunohistochemistry.Quantitative real-time poly merase chain reaction(RT-qPCR)and Western blot were used to detect the mRNA and protein expression of SPP1,MYD88,Bax,Bcl2,Caspase-3,and Caspase-9.Simultaneously,Western blot analysis was used to detected the expression of Cleaved Caspase-3 and Cleaved Caspase-9 proteins.In vitro,SPP1 expression was knocked down in primary neonatal rat cardiomyocytes(NRCMs),and cells were divided into three groups:control(CON),morphine treated(DA),and shSPP1#3+DA.Cell viability was assessed using the CCK-8 assay,and apoptosis rates were determined by flow cytometry.Results HE and TUNEL staining of myocardial tissues from morphine-addicted SD rats revealed that,compared with the NS group,myofibrils in the DAM group exhibited partial disruption and a significant increase in apoptotic cells(P<0.05).Western blot and RT-qPCR analyses demonstrated that,relative to the NS group,the mRNA and protein levels of SPP1,MYD88,Bax,Caspase-3,and Caspase-9 were significantly upregulated in the DAM group(P<0.05),whereas Bcl2 expression was significantly downregulated at both mRNA and protein levels(P<0.05),and the protein expression levels of Cleaved Caspase-3 and Cleaved Caspase-9 were also increased.with all differences being statistically significant.In NRCMs following morphine intervention,cell viability in the DA group was markedly reduced compared to the CON group(P<0.05),accompanied by a signifi-cant increase in apoptosis rate(P<0.05).Consistently,Western blot and RT-qPCR results showed elevated mRNA and protein expression of SPP1,MYD88,Bax,Caspase-3,and Caspase-9 in the DA group(P<0.05),along with decreased Bcl2 expression(P<0.05).The protein expression levels of Cleaved Caspase-3 and Cleaved Caspase-9 were elevated simultaneously.In contrast,the shSPP1#3+DA group exhibited opposing trends compared to the DA group,with statistically sig nificant differences(P<0.05).Conclusion SPP1 and MYD88 play critical roles in mediating morphine-induced cardiomyocyte apoptosis,and silencing SPP1 has been shown to significantly reduce the extent of cardiomyocyte apoptosis following morphine exposure.

Objective : To explore the factors influencing the efficacy of first-generation EGFR tyrosine kinase inhibitors(EGFR-TKIs) in patients with EGFR-mutated advanced lung adenocarcinoma and to construct and validate a corresponding nomogram prediction model. Methods : A total of 220 patients with EGFR-mutated advanced lung adenocarcinoma treated with icotinib were enrolled and randomly divided into a training group(154 cases) and a validation group(66 cases) in a 7 ∶3 ratio. Cox regression analysis was performed to identify factors affecting the efficacy of first-generation EGFR-TKIs in the training group. A prediction model was constructed, and calibration curves and receiver operating characteristic(ROC) curves were plotted to validate the model′s performance. Results: In the training group, the objective response rate was 35.71%, the disease control rate was 77.27%, the median progression-free survival(PFS) was 12.5 months, the median overall survival was 18 months, the 2-year OS rate was 66.23%, and the PFS rate was 42.21%. Univariate analysis showed that brain metastasis, bone metastasis, TNM stage, differentiation degree, neutrophil-to-lymphocyte ratio(NLR), post-treatment p53 levels, p53 difference(Δp53), post-treatment cancer antigen gene(CAGE) levels, and CAGE difference(ΔCAGE) were associated with PFS(P2=4.429, P=0.351). ROC curve analysis in the training group showed that the nomogram model had a sensitivity of 80.00%, specificity of 77.53%, and AUC of 0.864 for predicting therapeutic efficacy, while the validation group showed a sensitivity of 74.08%, specificity of 71.43%, and AUC of 0.835. Conclusion Changes in lung cancer autoantibodies(Δp53 and ΔCAGE), TNM stage, and NLR are key factors influencing the efficacy of first-generation EGFR-TKIs in EGFR-mutated advanced lung adenocarcinoma. The nomogram prediction model based on p53 and CAGE demonstrates good predictive performance.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.