간행물

International Journal of Oral Biology KCI 등재후보

권호리스트/논문검색
이 간행물 논문 검색

권호

Vol.50 No.3 (2025년 9월) 4

1.
2025.09 구독 인증기관 무료, 개인회원 유료
The prediction of satisfactory orthodontic treatment outcomes can be very challenging owing to the subjectivity of orthodontists’ judgment, along with the inherent difficulties when considering numerous factors. Therefore, this study introduced a deep learning-based method for predicting orthodontic treatment outcomes based on the image-to-image translation of dental radiographs using the Pix2Pix model. This proposed method addresses the aforementioned issues using a Pix2Pix-based prediction model constructed from adversarial deep learning. Patient datasets and prediction models were separated and developed for extraction and non-extraction treatments, respectively. The patients’ radiographs were pre-processed and standardized for training, testing, and applying the Pix2Pix models by uniformly adjusting the degree of blackness for the region of interest. A comparison of actual with Pix2Pix-predicted images revealed high accuracy, with correlation coefficients of 0.8767 for extraction orthodontic treatments and 0.8686 for non-extraction treatments. The proposed method establishes a robust clinical and practical framework for digital dentistry, offering both quantitative and qualitative insights for orthodontists and patients.
4,000원
2.
2025.09 구독 인증기관 무료, 개인회원 유료
This study aimed to confirm the species identity and characterize two Selenomonas sputigena strains (KCOM 1787 and KCOM 2046) isolated from the oral cavities of Korean individuals using genomic and chemotaxonomic approaches. Whole-genome sequencing was performed with PacBio RSII and Illumina platforms. Species-level classification was assessed using 16S rDNA similarity, average nucleotide identity (OrthoANI), and genome-togenome distance calculation (GGDC). Chemotaxonomic analysis included cellular fatty acid profiling using gas chromatography and polar lipid analysis using two-dimensional thin-layer chromatography. The two strains showed 16S rDNA similarities of 98.85% and 99.53% with the S. sputigena type strain ATCC 35185T. OrthoANI values exceeded the species threshold (95.34% and 95.69%), whereas GGDC values were below the conventional cutoff (61.6% and 63.7%). Despite the low GGDC values, classification as S. sputigena was supported by the combined evidence of high 16S similarity, OrthoANI values above the species demarcation threshold, and minimal differences in genomic GC content (< 1 mol%). Chemotaxonomic analysis revealed that the major fatty acids were C14:0 DMA and C16:1 cis -7, while the polar lipids included phosphatidylethanolamine and several unidentified aminolipids. Although GGDC values were below the 70% species threshold, the high OrthoANI values, 16S rDNA similarity, and genomic GC content supported the classification of KCOM 1787 and KCOM 2046 as S. sputigena. These strains may serve as valuable resources for future studies on intraspecies variation and the pathogenesis of oral Selenomonas species.
4,000원
3.
2025.09 구독 인증기관 무료, 개인회원 유료
Autophagy is a ubiquitous and fundamental catabolic vital process for maintaining cellular homeostasis, achieved by degrading and recycling cytoplasmic components, particularly under conditions of nutrient deprivation or metabolic stress. This mechanism is also integral to the selective clearance of misfolded or aggregated proteins, the removal of dysfunctional organelles (such as mitochondria and the endoplasmic reticulum), and the intracellular degradation of pathogens, including those associated with peroxisomes. In this study, we screened and identified sesamin, a bioactive compound isolated from Hypericum hookerianum extracts, as a novel autophagy activator. Our results demonstrated that sesamin effectively induces autophagy and activates the lysosome biogenesis pathway.
4,000원
4.
2025.09 구독 인증기관 무료, 개인회원 유료
While interleukin (IL)-1β is a well-established driver of periodontitis, the specific mechanisms by which the emerging pathogen Filifactor alocis induces this cytokine are largely unknown. We conducted a comprehensive investigation into how F. alocis stimulates IL-1β in THP-1 macrophages, analyzing the response at the mRNA (reverse transcription-polymerase chain reaction), cellular protein (Western blot), and secreted protein (enzymelinked immunosorbent assay) levels. Our results show a clear, dose-dependent increase in all measures, confirming its potent effect. To explore the underlying mechanisms, we first tested the contribution of the NLRP3 inflammasome using the specific inhibitor MCC950. This inhibitor almost completely blocked (~90%) a control response but only partially inhibited (~50%) the F. alocis -stimulated secretion. A similar result was observed with the pan-caspase inhibitor Z-VAD-FMK, which almost completely suppressed the control but only partially inhibited (~50%) the response to F. alocis . Moreover, we found a dominant role for mitogen-activated protein kinase signaling pathways. Specific inhibitors of extracellular signal-regulated kinase (ERK) and c-Jun N-terminal kinase (JNK) significantly attenuated both IL-1β mRNA expression and protein secretion, whereas the p38 inhibitor had no effect. These findings collectively demonstrate that F. alocis robustly induces IL-1β via ERK and JNK signaling with only partial dependence on canonical NLRP3 inflammasome and caspase-mediated pathways. This unique pattern suggests the involvement of other complementary pathways, underscoring the complex inflammatory processes involved in F. alocis -induced periodontitis.
4,000원