Peri-implant oral malignancy (PIOM) refers to malignant tumors arising around dental implants and is an increasingly reported complication of implant therapy. PIOM may follow distinct pathophysiological mechanisms, including chronic peri-implant inflammation and implant-related factors that contribute to carcinogenesis. This current review aims to explore the potential role of peri-implantitis (PI) as a risk factor for PIOM, discussing the proposed pathogenic mechanisms, histological findings, and clinical implications. A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science databases. Relevant case reports, clinical studies, and reviews on the keywords “PIOM” and “PI” published from 2019 up to 2025 were included and qualitatively analyzed. Clinicopathologic characteristics are summarized as location and morphology, disease progression, histopathology, and degree of differentiation, and pathophysiological hypotheses involve inflammatory and electrochemical pathways, epithelial barrier dysfunction, molecular alterations, microbiome dysbiosis, and immune dysregulation. Current evidence remains limited and primarily anecdotal. Several studies suggest that chronic inflammation, titanium particle exposure, corrosion byproducts, and sustained tissue damage in peri-implant tissues may contribute to oncogenesis. While a direct causal link between PI and PIOM remains unproven, chronic peri-implant inflammation may contribute to malignancy development in predisposed individuals. Clinicians should consider a biopsy when peri-implant lesions exhibit atypical features, promptly.

Background: Acute deterioration of patients in general wards often leads to major adverse events (MAEs), including unplanned intensive care unit transfers, cardiac arrest, or death. Traditional early warning scores (EWSs) have shown limited predictive accuracy, with frequent false positives. We conducted a prospective observational external validation study of an artificial intelligence (AI)-based EWS, the VitalCare - Major Adverse Event Score (VC-MAES), at a tertiary medical center in the Republic of Korea. Methods: Adult patients from general wards, including internal medicine (IM) and obstetrics and gynecology (OBGYN)—the latter were rarely investigated in prior AI-based EWS studies—were included. The VC-MAES predictions were compared with National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) predictions using the area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), and logistic regression for baseline EWS values. False-positives per true positive (FPpTP) were assessed based on the power threshold. Results: Of 6,039 encounters, 217 (3.6%) had MAEs (IM: 9.5%, OBGYN: 0.26%). Six hours prior to MAEs, the VC-MAES achieved an AUROC of 0.918 and an AUPRC of 0.352, including the OBGYN subgroup (AUROC, 0.964; AUPRC, 0.388), outperforming the NEWS (0.797 and 0.124) and MEWS (0.722 and 0.079). The FPpTP was reduced by up to 71%. Baseline VC-MAES was strongly associated with MAEs (P<0.001). Conclusions The VC-MAES significantly outperformed traditional EWSs in predicting adverse events in general ward patients. The robust performance and lower FPpTP suggest that broader adoption of the VC-MAES may improve clinical efficiency and resource allocation in general wards.

Objective: Spontaneous remission may influence the outcome of clinical trials and evaluation of antidepressant efficacy, as it is associated with placebo effects and false remission rates. However, the characteristics of spontaneous remission and its biological mechanisms remain poorly understood. This study aimed to explore the metabolic signatures and underlying biological mechanisms of spontaneous remission using metabolomics. Methods: This study conducted untargeted and targeted metabolomic analyses in a discovery cohort (n = 16) comprising patients with major depressive disorder (MDD) and those who were spontaneously remitted without medication.Findings were validated in an independent cohort (n = 185), comprising drug-treated patients and healthy controls. Results: Acetylcarnitine levels were significantly increased in spontaneous remission compared to depression, whereas glycerophosphocholine levels were decreased in spontaneous remission. Both metabolites showed the highest concentration in the control group, followed by the remission group, and the lowest concentration in the depression group, regardless of medication status. These changes suggest alterations in mitochondrial and membrane lipid metabolism. Conclusion Altered levels in acetylcarnitine and glycerophosphocholine may reflect key pathogenic mechanisms of MDD. These findings offer new insight into spontaneous remission as a distinct clinical subtype of depression and may highlight the potential of these metabolites as biomarkers for treatment monitoring in MDD.

Objective: Essential development of the frontal lobe occurs during childhood and adolescence, affecting various executive function (EF) domains. Of the frontal areas, the supplementary motor area (SMA) located in the medial frontal cortex, is involved in various high-order EFs which include inhibition, working memory, and cognitive flexibility.However, it remains unclear how the functional network of the SMA is associated with EF development. Methods: We assessed Wisconsin Card Sorting Test (WCST) score and resting state functional magnetic resonance imaging data from 6- to 17-year-old children and adolescents to identify age differences in SMA functional connectivity (FC) associated with EF. Results: A total of 112 children and adolescents (62 males; mean [standard deviation] age, 12.21 [2.98] years) were included. After adjusting for sex, we discovered significant evidence in the older group that 300 FCs between the SMA and numerous regions of the brain, including the frontal, occipital, parietal, temporal, limbic, and cerebellar areas, were negatively correlated with the WCST subcategories (false discovery rate ＜ 0.05). Conclusion This finding underscores the SMA’s pivotal role in executive dysfunction during developmental stages.Interestingly, this significant connectivity was absent in younger participants, highlighting the age range of 11−12 as a critical turning point for brain functional alterations involved in EF development. Since the crucial role of SMA in refining EF development has been underappreciated, this work has the potential to provide insight into both the nature of the functional alteration of SMA and the differences in individuals’ EF development trajectories.

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a common form of muscular dystrophy that mainly affects skeletal muscle. FSHD1 accounts for 95% of all FSHD cases and can be diagnosed based on the pathogenic contraction of the D4Z4-repeat array on chromosome 4q35. Genetic diagnosis of FSHD1 is challenging because of the large size and repetitive nature of the D4Z4 region. We evaluated the clinical applicability of optical genome mapping (OGM) for the genetic diagnosis of FSHD1. Methods: We included 25 individuals with clinically confirmed or suspected/probable FSHD and their families. Ultra-high-molecular-weight DNA from peripheral blood was labeled, stained, and imaged using a single-molecule OGM platform (Bionano Genomics Saphyr system). D4Z4 repeat size and haplotype information were analyzed using the manufacturer’s dedicated pipeline. We also compared the workflow and test time between Southern blot analysis and OGM. Results: We obtained concordant OGM and Southern blot results with 10 samples from patients with clinically confirmed FSHD. The D4Z4 repeat size differed within 1 unit between the Southern blot analysis and OGM. Among nine patients with clinically suspected or probable FSHD, six patients were confirmed to have pathogenic contractions by OGM.In our cohort, one de novo mosaic FSHD1 patient was successfully diagnosed with OGM.Moreover, OGM has a more straightforward and less time-consuming workflow than Southern blot analysis. Conclusions OGM enables accurate and reliable detection of pathogenic contraction of the D4Z4-repeat array and is a valuable tool for the genetic diagnosis of FSHD1.

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a common form of muscular dystrophy that mainly affects skeletal muscle. FSHD1 accounts for 95% of all FSHD cases and can be diagnosed based on the pathogenic contraction of the D4Z4-repeat array on chromosome 4q35. Genetic diagnosis of FSHD1 is challenging because of the large size and repetitive nature of the D4Z4 region. We evaluated the clinical applicability of optical genome mapping (OGM) for the genetic diagnosis of FSHD1. Methods: We included 25 individuals with clinically confirmed or suspected/probable FSHD and their families. Ultra-high-molecular-weight DNA from peripheral blood was labeled, stained, and imaged using a single-molecule OGM platform (Bionano Genomics Saphyr system). D4Z4 repeat size and haplotype information were analyzed using the manufacturer’s dedicated pipeline. We also compared the workflow and test time between Southern blot analysis and OGM. Results: We obtained concordant OGM and Southern blot results with 10 samples from patients with clinically confirmed FSHD. The D4Z4 repeat size differed within 1 unit between the Southern blot analysis and OGM. Among nine patients with clinically suspected or probable FSHD, six patients were confirmed to have pathogenic contractions by OGM.In our cohort, one de novo mosaic FSHD1 patient was successfully diagnosed with OGM.Moreover, OGM has a more straightforward and less time-consuming workflow than Southern blot analysis. Conclusions OGM enables accurate and reliable detection of pathogenic contraction of the D4Z4-repeat array and is a valuable tool for the genetic diagnosis of FSHD1.

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a common form of muscular dystrophy that mainly affects skeletal muscle. FSHD1 accounts for 95% of all FSHD cases and can be diagnosed based on the pathogenic contraction of the D4Z4-repeat array on chromosome 4q35. Genetic diagnosis of FSHD1 is challenging because of the large size and repetitive nature of the D4Z4 region. We evaluated the clinical applicability of optical genome mapping (OGM) for the genetic diagnosis of FSHD1. Methods: We included 25 individuals with clinically confirmed or suspected/probable FSHD and their families. Ultra-high-molecular-weight DNA from peripheral blood was labeled, stained, and imaged using a single-molecule OGM platform (Bionano Genomics Saphyr system). D4Z4 repeat size and haplotype information were analyzed using the manufacturer’s dedicated pipeline. We also compared the workflow and test time between Southern blot analysis and OGM. Results: We obtained concordant OGM and Southern blot results with 10 samples from patients with clinically confirmed FSHD. The D4Z4 repeat size differed within 1 unit between the Southern blot analysis and OGM. Among nine patients with clinically suspected or probable FSHD, six patients were confirmed to have pathogenic contractions by OGM.In our cohort, one de novo mosaic FSHD1 patient was successfully diagnosed with OGM.Moreover, OGM has a more straightforward and less time-consuming workflow than Southern blot analysis. Conclusions OGM enables accurate and reliable detection of pathogenic contraction of the D4Z4-repeat array and is a valuable tool for the genetic diagnosis of FSHD1.

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a common form of muscular dystrophy that mainly affects skeletal muscle. FSHD1 accounts for 95% of all FSHD cases and can be diagnosed based on the pathogenic contraction of the D4Z4-repeat array on chromosome 4q35. Genetic diagnosis of FSHD1 is challenging because of the large size and repetitive nature of the D4Z4 region. We evaluated the clinical applicability of optical genome mapping (OGM) for the genetic diagnosis of FSHD1. Methods: We included 25 individuals with clinically confirmed or suspected/probable FSHD and their families. Ultra-high-molecular-weight DNA from peripheral blood was labeled, stained, and imaged using a single-molecule OGM platform (Bionano Genomics Saphyr system). D4Z4 repeat size and haplotype information were analyzed using the manufacturer’s dedicated pipeline. We also compared the workflow and test time between Southern blot analysis and OGM. Results: We obtained concordant OGM and Southern blot results with 10 samples from patients with clinically confirmed FSHD. The D4Z4 repeat size differed within 1 unit between the Southern blot analysis and OGM. Among nine patients with clinically suspected or probable FSHD, six patients were confirmed to have pathogenic contractions by OGM.In our cohort, one de novo mosaic FSHD1 patient was successfully diagnosed with OGM.Moreover, OGM has a more straightforward and less time-consuming workflow than Southern blot analysis. Conclusions OGM enables accurate and reliable detection of pathogenic contraction of the D4Z4-repeat array and is a valuable tool for the genetic diagnosis of FSHD1.

Background: Structural variants (SVs) are currently analyzed using a combination of conventional methods; however, this approach has limitations. Optical genome mapping (OGM), an emerging technology for detecting SVs using a single-molecule strategy, has the potential to replace conventional methods. We compared OGM with conventional diagnostic methods for detecting SVs in various hematologic malignancies. Methods: Residual bone marrow aspirates from 27 patients with hematologic malignancies in whom SVs were observed using conventional methods (chromosomal banding analysis, FISH, an RNA fusion panel, and reverse transcription PCR) were analyzed using OGM. The concordance between the OGM and conventional method results was evaluated. Results: OGM showed concordance in 63% (17/27) and partial concordance in 37% (10/27) of samples. OGM detected 76% (52/68) of the total SVs correctly (concordance rate for each type of SVs: aneuploidies, 83% [15/18]; balanced translocation, 80% [12/15] unbalanced translocation, 54% [7/13] deletions, 81% [13/16]; duplications, 100% [2/2] inversion 100% [1/1]; insertion, 100% [1/1]; marker chromosome, 0% [0/1];isochromosome, 100% [1/1]). Sixteen discordant results were attributed to the involvement of centromeric/telomeric regions, detection sensitivity, and a low mapping rate and coverage. OGM identified additional SVs, including submicroscopic SVs and novel fusions, in five cases. Conclusions OGM shows a high level of concordance with conventional diagnostic methods for the detection of SVs and can identify novel variants, suggesting its potential utility in enabling more comprehensive SV analysis in routine diagnostics of hematologic malignancies, although further studies and improvements are required.

Background: The mechanism and medical treatment target for degenerative aortic valve disease, including aortic stenosis, is not well studied. In this study, we investigated the effect of clonal hematopoiesis of indeterminate potential (CHIP) on the development of aortic valve sclerosis (AVS), a calcified aortic valve without significant stenosis. Methods: Participants with AVS (valves ≥ 2 mm thick, high echogenicity, and a peak trans-aortic velocity of < 2.5 m/sec) and an age- and sex-matched control group were enrolled.Twenty-four CHIP genes with common variants in cardiovascular disease were used to generate a next-generation sequencing panel. The primary endpoint was the CHIP detection rate between the AVS and control groups. Inverse-probability treatment weighting (IPTW) analysis was performed to adjust for differences in baseline characteristics. Results: From April 2020 to April 2022, 187 participants (125 with AVS and 62 controls) were enrolled; the mean age was 72.6 ± 8.5 yrs, and 54.5% were male. An average of 1.3CHIP variants was observed. CHIP detection, defined by a variant allele frequency (VAF) of≥ 0.5%, was similar between the groups. However, the AVS group had larger CHIP clones:49 (39.2%) participants had a VAF of ≥ 1% (vs. 13 [21.0%] in the control group; P = 0.020), and 25 (20.0%) had a VAF of ≥ 2% (vs. 4 [6.5%]; P = 0.028). AVS is independently associated with a VAF of ≥ 1% (adjusted odds ratio: 2.44, 95% confidence interval: 1.11–5.36; P = 0.027). This trend was concordant and clearer in the IPTW cohort. Conclusions Participants with AVS more commonly had larger CHIP clones than age- and sex-matched controls. Further studies are warranted to identify causality between AVS and CHIP.