Objective: This study evaluated the health behavior level of urological cancer survivors after surgery.Understand the experience of change and identify the factors that affect it for health. Selection of the best intervention steps and effective intervention adopt a lifestyle. It is intended to contribute to the creation of basic data for development of guidelines. Methods: The study was conducted with patients diagnosed with urological cancer at a hospital in Seoul.Study data were obtained by having 100 patients who agreed to the study self-fill out a questionnaire through interviews, and the 2018 World Cancer Research Fund and American Institute for Cancer Research Score (2018 WCRF/AICR SCORE) was used to estimate the level of health behavior. Results: The study examines health behavior among urolgical cancer survivors based on the 2018 WCRF/AICR SCORE. Higher household income and younger age were associated with better health behavior scores, with those under 60 and earning over 3 million won being more likely to have higher scores. Conclusion Based on these results, this study requires comprehensive data collection considering the missing variables, suggesting that high household income and young age can positively affect healthy behavior. In addition, we conclude that education for cancer survivors and development of strategies to bridge the health gap for low-income and elderly populations are necessary.

Objective: This study evaluated the health behavior level of urological cancer survivors after surgery.Understand the experience of change and identify the factors that affect it for health. Selection of the best intervention steps and effective intervention adopt a lifestyle. It is intended to contribute to the creation of basic data for development of guidelines. Methods: The study was conducted with patients diagnosed with urological cancer at a hospital in Seoul.Study data were obtained by having 100 patients who agreed to the study self-fill out a questionnaire through interviews, and the 2018 World Cancer Research Fund and American Institute for Cancer Research Score (2018 WCRF/AICR SCORE) was used to estimate the level of health behavior. Results: The study examines health behavior among urolgical cancer survivors based on the 2018 WCRF/AICR SCORE. Higher household income and younger age were associated with better health behavior scores, with those under 60 and earning over 3 million won being more likely to have higher scores. Conclusion Based on these results, this study requires comprehensive data collection considering the missing variables, suggesting that high household income and young age can positively affect healthy behavior. In addition, we conclude that education for cancer survivors and development of strategies to bridge the health gap for low-income and elderly populations are necessary.

Objective: This study evaluated the health behavior level of urological cancer survivors after surgery.Understand the experience of change and identify the factors that affect it for health. Selection of the best intervention steps and effective intervention adopt a lifestyle. It is intended to contribute to the creation of basic data for development of guidelines. Methods: The study was conducted with patients diagnosed with urological cancer at a hospital in Seoul.Study data were obtained by having 100 patients who agreed to the study self-fill out a questionnaire through interviews, and the 2018 World Cancer Research Fund and American Institute for Cancer Research Score (2018 WCRF/AICR SCORE) was used to estimate the level of health behavior. Results: The study examines health behavior among urolgical cancer survivors based on the 2018 WCRF/AICR SCORE. Higher household income and younger age were associated with better health behavior scores, with those under 60 and earning over 3 million won being more likely to have higher scores. Conclusion Based on these results, this study requires comprehensive data collection considering the missing variables, suggesting that high household income and young age can positively affect healthy behavior. In addition, we conclude that education for cancer survivors and development of strategies to bridge the health gap for low-income and elderly populations are necessary.

The article ‘The biofilm removal effect of MnO2-diatom microbubbler from the dental prosthetic surfaces: In vitro study’ authored by Eun-Hyuk Lee,Yongbeom Seo, Ho-Bum Kwon, Young-Jun Yim, Hyunjoon Kong, Myung-Joo Kim, published in April issue [Vol 58, No 1] of The Journal of KoreanAcademy of Prosthodontics (2020), has an erratum.The author names were mistakenly given as Ho-Bum Kwon, Young-Jun Yim. It should be corrected as Ho‐Beom Kwon, Young‐Jun Lim. The Journal ofKorean Academy of Prosthodontics apologizes to the readers for this error.

PURPOSE: The aim of this study is to evaluate the effectiveness of MnO₂-diatom microbubbler (DM) on the surface of prosthetic materials as a mouthwash by comparing the biofilm removal effect with those previously used as a mouthwash in dental clinic.MATERIALS AND METHODS: DM was fabricated by doping manganese dioxide nanosheets to the diatom cylinder surface. Scanning electron microscopy (SEM) was used to observe the morphology of DM and to analyze the composition of doped MnO₂. Stereomicroscope was used to observe the reaction of DM in 3% hydrogen peroxide. Non-precious metal alloys, zirconia and resin specimens were prepared to evaluate the effect of biofilm removal on the surface of prosthetic materials. And then Streptococcus mutans and Porphyromonas gingivalis biofilms were formed on the specimens. When 3% hydrogen peroxide solution and DM were treated on the biofilms, the decontamination effect was compared with chlorhexidine gluconate and 3% hydrogen peroxide solution by crystal violet staining.RESULTS: Manganese dioxide was found on the surface of the diatom cylinder, and it was found to produce bubble of oxygen gas when added to 3% hydrogen peroxide. For all materials used in the experiments, biofilms of the DM-treated groups got effectively removed compared to the groups used with chlorhexidine gluconate or 3% hydrogen peroxide alone.CONCLUSION: MnO₂-diatom microbubbler can remove bacterial membranes on the surface of prosthetic materials more effectively than conventional mouthwashes.
Alloys ; Biofilms ; Chlorhexidine ; Decontamination ; Dental Clinics ; Dental Plaque ; Diatoms ; Gentian Violet ; Hydrogen Peroxide ; In Vitro Techniques ; Manganese ; Membranes ; Microscopy, Electron, Scanning ; Mouthwashes ; Oral Hygiene ; Oxygen ; Porphyromonas gingivalis ; Streptococcus mutans

This study compared the effectiveness of self-propelling diatom microbubblers to clean dental appliances with commercial denture cleaning agents according to the Ministry of Food and Drug Safety’s guidelines. The microbubbler is made by doping diatoms with MnO2 nanosheets that can decompose hydrogen peroxide to generate oxygen bubbles. Artificial saliva is prepared in accordance with the criteria presented by the American Dental Association, dispensed, and dried in 96 well plates. Experimental groups include 10-15% NaOCl (positive control), distilled water (negative control), diatom microbubbler A (Aulacoseira, MnO2-polydopamine (PDA)-A), diatom microbubbler M (Melosira nummuloids, MnO2-sugar (S)-M), Polident (GlaxoSmithKline, Dungarvan, Ireland), Dentfix-forte (Helago-Phama GmbH&Co, Parchim, Germany). After washing, absorbance (OD 600) was measured. If the absorbance was 70% or higher, the condition was determined to have “cleaning power potency,”Statistical significance was evaluated by one-way ANOVA and Bonferroni correction to compare cleaning effects among groups (p<0.05).The average cleaning rates were 93.8±1.0% in NaOCl (positive control) and 79.1±1.5% in distilled water (negative control).With the diatom microbubbler A, the average cleaning rate was 79.8±4.5% in the 3% H 2O 2 2 mg/mL, 64.7±5.5% in 6% H 2O 2 2 mg/mL, and 81.9±7.9% in 6% H 2O 2 4 mg/mL. The diatom microbubbler M group showed average cleaning rates of 88.5±3.6% in 3% H2O2 2 mg/mL, 75.8±4.0% in 6% H2O2 2 mg/mL, and 84.5±4.5% in 6% H2O2 4 mg/mL. Finally, conventional denture cleaning agents showed average cleaning rates of 88.2±1.2% in Polident and 83.3±3.0% in Dentfix-forte. The positive control group had significant differences from all experimental groups, but the negative control group showed significant differences only in A2 and A3, M1 and M2, M3, Polident, and Dentfix-forte (F=190.141, p<0.001). Among all groups except the positive control group, MnO2 -S-M mixed with 3% H2O2 2 mg/mL showed the highest cleaning rate. As the results of this study show, diatom complexes exhibit cleaning effects compatible with conventional denture cleaning agents. Further studies need to be conducted to narrow down the specific optimal conditions of diatom microbubblers and maximize the cleaning effect.

An adaptive design is a clinical trial design that allows for modification of a structured plan in a clinical trial based on data accumulated during pre-planned interim analyses. This flexible approach to clinical trial design improves the success rate of clinical trials while reducing time, cost, and sample size compared to conventional methods. The purpose of this study is to identify the current status of adaptive design and present key considerations for planning an appropriate adaptive design based on specific circumstances. We searched for clinical trials conducted between January 2006 to July 2021 in the Clinical Trials Registry (ClinicalTrials.gov) using keywords specified in the Food and Drug Administration Adaptive Design Clinical Trial Guidelines. In order to analyze the adaptive designs used in selected cases, we classified the results according to the phase of the clinical trial, type of indication, and the specific adaptation method employed. A total of 267 clinical trials were identified on ClinicalTrials.gov. Among them, 236 clinical trials actually applied adaptive designs and were classified according to phase, indication types, and adaptation methods. Adaptive designs were most frequently used in phase 2 clinical trials and oncology research. The most commonly used adaptation method was the adaptive treatment selection design. In the case of coronavirus disease 2019, the most frequently used designs were adaptive platform design and seamless design. Through this study, we expect to provide valuable insights and considerations for the implementation of adaptive design clinical trials in different diseases and stages.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.