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.

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.

Sedation methods for dental treatment are increasingly explored. Recently, ketofol, which is a combination of ketamine and propofol, has been increasingly used because the advantages and disadvantages of propofol and ketamine complement each other and increase their effectiveness. In this review, we discuss the pharmacology of ketamine and propofol, use of ketofol in various clinical situations, and differences in efficacy between ketofol and other sedatives.

Background: Inflammatory dental diseases that occur during pregnancy can cause preterm labor and/or intrauterine growth restriction. Therefore, proactive treatment of dental diseases is necessary during pregnancy. Dexmedetomidine (DEX) is a widely used sedative in the dental field, but research on the effect of DEX on pregnancy is currently insufficient. In this study, we investigated the effects of co-treatment with DEX and lipopolysaccharide (LPS) on inflammatory responses in human amnion-derived WISH cells. Methods: Human amnion-derived WISH cells were treated with 0.001, 0.01, 0.1, and 1 μg/mL DEX with 1 μg/mL LPS for 24 h. Cytotoxicity of WISH cells was evaluated by 3-(4,5-)-2,5-diphenyltetrazolium bromide (MTT) assay. The protein expression of cyclooxygenase-2 (COX-2), prostaglandin E 2 (PGE 2 ), p38, and nuclear factor kappa B (NF-κB) was examined by western blot analysis. The mRNA expression of pro-inflammatory cytokines such as interleukin (IL)-1β and tumor necrosis factor (TNF)-α was analyzed by real-time quantitative polymerase chain reaction. Results: Co-treatment with DEX and LPS showed no cytotoxicity in the WISH cells. The mRNA expression of IL-1β and TNF-α decreased after co-treatment with DEX and LPS. DEX and LPS co-treatment decreased the protein expression of COX-2, PGE 2 , phospho-p38, and phospho-NF-κB in WISH cells. Conclusion Co-treatment with DEX and LPS suppressed the expression of COX-2 and PGE 2 , as well as pro-inflammatory cytokines such as IL-1β and TNF-α in WISH cells. In addition, the anti-inflammatory effect of DEX and LPS co-treatment was mediated by the inhibition of p38/NF-κB activation.

Background: Nonobstetric surgery is sometimes required during pregnancy, and neck abscess or facial bone fracture surgery cannot be postponed in pregnant women. However, dental surgery can be stressful and can cause inflammation, and the inflammatory response is a well-known major cause of preterm labor. Propofol is an intravenous anesthetic commonly used for general anesthesia and sedation. Studies investigating the effect of propofol on human amnion are rare. The current study investigated the effects of propofol on lipopolysaccharide (LPS)-induced inflammatory responses in human amnion-derived WISH cells. Methods: WISH cells were exposed to LPS for 24 h and co-treated with various concentrations of propofol (0.01–1 μg/ml). Cell viability was measured using the MTT assay. Nitric oxide (NO) production was analyzed using a microassay based on the Griess reaction. The protein expression of cyclooxygenase-2 (COX-2), prostaglandin E2 (PGE 2), p38, and phospho-p38 was analyzed using western blotting. Results: Propofol did not affect the viability and NO production of WISH cells. Co-treatment with LPS and propofol reduced COX-2 and PGE 2 protein expression and inhibited p38 phosphorylation in WISH cells. Conclusion Propofol does not affect the viability of WISH cells and inhibits LPS-induced expression of inflammatory factors. The inhibitory effect of propofol on inflammatory factor expression is likely mediated by the inhibition of p38 activation.