This study evaluated full-arch rehabilitation of patients with immediately placed implants in terms of the cumulative implant survival rate, risk factors for implant failure, and patient satisfaction. Time-to-event data of 52 completely edentulous jaws (370 implants) were collected using retrospective clinical chart review for the time period from 2008 to 2014. A conventional two stage approach for surgery was adopted to immediately placed implants in the maxilla, and immediate placement and immediate loading protocols for the mandible were followed. The study calculated the 7-year cumulative survival rates (CSR), and a Bayesian hierarchical Cox proportional hazard model was used to measure the effect of covariates. Patient satisfaction on chewing ability, esthetic appearance, and overall satisfaction was also measured with a face-to-face interview survey. Of the total 370 implants, 194 were immediate placement. Two delayed loading maxillary implants failed within the first year, and another one failed in the second year of loading. Two failures were recorded in the first year and one in seven years for the immediate loading mandibular implants. The 1-, 5-, and 7-year CSR of the 370 implants were 0.989 (0.979, 1.000), 0.986 (0.975, 0.998), and 0.978 (0.957, 0.999), respectively. Only the length of the implant affected implant failure (p < 0.05); other patient characteristics, systemic diseases, implant diameter, immediate loading, and immediate placement, did not have an effect on implant failure rates. Patients reported a high degree of satisfaction regardless of their age group or length of the observation period. Immediately placed implant had CSR as high as delayed placed implants, and 7-year CSRs of immediate loading were not significantly different from delayed loading. The procedure also had a high degree of chewing ability, esthetic appearance, and overall satisfaction. The study results suggested that the clinical procedures applied in this study to completely edentulous patients were acceptable rehabilitation procedures.

Background/Objectives: Alzheimer’s disease (AD) exhibits high heritability (60–80%), yet individual-level genetic risk prediction remains challenging. While APOE ε4 is the strongest genetic risk factor, incomplete penetrance complicates risk assessment. Methods: We analyzed seven blood-related members across three generations using the Korean Chip v2.0 genotyping (~1.2 M SNPs) and Illumina EPICv2 DNA methylation profiling. Genetic burden score (GBS) was calculated by summing risk alleles across 320 variants in six AD-associated genes (APOE, PICALM, CLU, CR1, BIN1, and ABCA7). Results: An unexpected pattern was observed in this family: the affected individual (J-003) had the lowest GBS (39 alleles), while individuals with higher genetic burden (51–61 alleles) remained cognitively healthy. J-003 also exhibited lower APOE methylation (β = 0.495) compared to the family mean (β = 0.523). CR1 contributed the most risk alleles across the family, followed by PICALM. Conclusions: This single-case observation cannot establish causality, generalizability, or biological significance. The affected individual’s lower APOE methylation may represent a causal factor, disease consequence, or coincidental variation—scenarios that cannot be distinguished from this dataset. Validation in larger cohorts with multiple affected individuals is required to determine whether integrated multi-omics approaches can inform personalized risk assessment in familial contexts.

Peri-implantitis is an inflammatory disease affecting tissues surrounding dental implants, with microbial biofilms recognized as the primary etiological factor. However, most previous studies analyzed samples from peri-implant pockets, and research on biofilms directly attached to explanted implant surfaces remains limited. This study compared the microbial composition and functional characteristics of biofilms from explanted implant surfaces in peri-implantitis cases with subgingival plaque from healthy controls. A total of 41 samples (peri-implantitis n=19, healthy controls n=22) were obtained from the Apple Tree Oral Biobank. The V3-V4 region of 16S rRNA gene was sequenced using Illumina MiSeq, ASVs were generated using DADA2, and taxonomic assignment was performed using SILVA database (v138.1). Alpha and beta diversity analyses were conducted, and functional potential was predicted using PICRUSt2. The peri-implantitis group showed significantly higher Simpson index (p=0.0086) and phylogenetic diversity (p<0.0001), with distinct clustering separation between groups. Beyond well-known periodontal pathogens (Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Filifactor alocis), the peri-implantitis group exhibited significant increases in sulfate-reducing bacteria (Desulfobulbus, Desulfovibrio) and emerging pathogens ([Eubacterium] nodatum group, [Eubacterium] saphenum group, Phocaeicola abscessus, Pseudoramibacter alactolyticus, Pyramidobacter). Health-associated bacteria (Corynebacterium, Neisseria, Capnocytophaga, Lautropia) were decreased. Functional analysis revealed enrichment in LPS biosynthesis, sulfur metabolism, iron acquisition, and amino acid degradation pathways, while carbohydrate metabolism was decreased. This study demonstrates that diverse emerging pathogens, including sulfate-reducing bacteria, are associated with peri-implantitis biofilms in explanted implant surface biofilms, contributing to expanded understanding of peri-implantitis etiology and development of candidate biomarkers.