Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Purpose: Porphyromonas gingivalis is a key pathogen in periodontitis, involved in systemic diseases. P. gingivalis relies on various survival strategies, including the synthesis of intracellular polyphosphate (polyP), which is synthesized by polyphosphate kinase encoded by the ppk gene. In contrast, exogenous polyP inhibits the growth of various bacteria, including P. gingivalis. This study examines the transcriptional response of the ppk-deficient P. gingivalis mutant (CW120) to stress induced by exogenous polyP, focusing on gene expression changes compared to the parent strain, P. gingivalis 381. Methods: Both P. gingivalis CW120 and 381 strains were exposed to exogenous polyP, followed by microarray analysis. Differentially expressed genes (DEGs) with more than a 2-fold change were identified and further validated by quantitative reverse transcription-polymerase chain reaction. Results: Exposure to polyP led to significant transcriptional changes in CW120, with 583 DEGs identified. Notably, genes related to energy metabolism and cell division were downregulated, while ribosomal protein genes were upregulated. Lipopolysaccharide (LPS)-related genes exhibited altered expression in both strains, indicating that these changes are not directly linked to the ppk gene. Since different P. gingivalis LPS isoforms interact with Toll-like receptor 2 (TLR2) and TLR4 in distinct ways, polyP-induced changes in LPS could influence TLR-mediated immune responses, which are linked to inflammation and pain signaling. Conclusions The findings highlight the role of polyP in modulating P. gingivalis gene expression, particularly in the ppk-deficient mutant, affecting energy metabolism, cell division, and LPS production. The potential impact of polyP on TLR-mediated immune pathways suggests its role in modulating bacterial virulence and contributing to chronic pain conditions. Future studies should explore these interactions to inform therapeutic strategies targeting P. gingivalis-related diseases.

Purpose: Varlitinib is a pan-human epidermal growth factor receptor (HER) inhibitor targeting epidermal growth factor receptor (EGFR), human epidermal growth factor receptor 2 (HER2), and HER4. We present a phase Ib/II study of a combination of varlitinib and weekly paclitaxel as a second-line treatment for patients with EGFR/HER2 co-expressing advanced gastric cancer (AGC). Materials and Methods: Patients whose tumors with EGFR and HER2 overexpression by immunohistochemistry (≥ 1+) were enrolled. Varlitinib and paclitaxel were investigated every 4 weeks. After determining the recommended phase II dose (RP2D) in phase Ib, a phase II study was conducted to evaluate the antitumor activity. Results: RP2D was treated with a combination of varlitinib (300 mg twice daily) and paclitaxel. Among 27 patients treated with RP2D, the median progression-free survival and overall survival (OS) were 3.3 months (95% confidence interval [CI], 1.7 to 4.9) and 7.9 months (95% CI, 5.0 to 10.8), respectively, with a median follow-up of 15.7 months. Among 16 patients with measurable disease, the objective response rate (ORR) and disease control rate were 31% and 88%, respectively. Patients with strong HER2 expression (n=8) had a higher ORR and longer OS, whereas those with strong EGFR expression (n=3) had poorer outcomes. The most common adverse events (AEs) of any grade were neutropenia (52%), diarrhea (27%), aspartate aminotransferase/alanine transaminase elevation (22%), and nausea (19%). No treatment-related deaths or unexpected AEs resulting from treatment cessation were observed in patients with RP2D. Conclusion A combination of varlitinib and paclitaxel displayed manageable toxicity and modest antitumor activity in patients with EGFR/HER2 co-expressing AGC who progressed after first-line chemotherapy.

Purpose: This study aimed to evaluate age-stratified radiographic features in temporomandibular joint osteoarthritis using cone-beam computed tomography. Materials and Methods: In total, 210 joints from 183 patients (144 females, 39 males, ranging from 12 to 88 years old with a mean age of 44.75±19.97 years) diagnosed with temporomandibular joint osteoarthritis were stratified by age. Mandibular condyle position and bony changes (flattening, erosion, osteophytes, subchondral sclerosis, and subchondral pseudocysts in both the condyle and articular eminence, thickening of the glenoid fossa, joint space narrowing, and joint loose bodies) were evaluated through cone-beam computed tomography. After adjusting for sex, the association between age groups and radiographic findings was analyzed using both a multiple regression model and a multinomial logistic regression model (α=0.05). Results: The prevalence of joint space narrowing and protruded condyle position in the glenoid fossa significantly increased with age (P<0.05). The risks of bony changes, including osteophytes and subchondral pseudocysts in the condyle; flattening, erosion, osteophyte, and subchondral sclerosis in the articular eminence; joint loose bodies; and thickening of the glenoid fossa, also significantly rose with increasing age (P<0.05). The number of radiographic findings increased with age; in particular, the increase was more pronounced in the temporal bone than in the mandibular condyle (P<0.05). Conclusion Increasing age was associated with a higher frequency and greater diversity of bony changes in the temporal bone, as well as a protruded condyle position in the glenoid fossa, resulting in noticeable joint space narrowing in temporomandibular joint osteoarthritis.