RESUMO
Background: Oral health is closely related to general health and quality of life. School-aged children are at a critical stage for developing their self-care ability in oral health. Digital interventions can encourage and facilitate oral self-care in children. Objective: This study aims to present the development of an educational chatbot for school-aged children to address their oral self-care and evaluate its usability. Methods: The development and evaluation of the chatbot for oral self-care consisted of four stages: target behavior analysis, intervention design, system development, and the chatbot evaluation. The target behavior analysis identified barriers to children's engagement in oral self-care based on dentists' clinical observations; hence, the requirements for achieving the desired behavior were categorized according to the capability-opportunity-motivation behavior model. Interventional functions were created following the behavior change wheel. A menu-driven chatbot was created and evaluated for usability as well as likeability. Results: The barriers and requirements for achieving good behavior in school-aged children's oral self-care were identified by the dental professionals. Intervention strategy incorporated specific functions enriched with gamification features to support school-aged children in developing their abilities for engaging in oral self-care. The intervention functions consist of capability establishment, motivation enhancement, and opportunity creation, which were designed to support children in their oral self-care practices. The designed chatbot was piloted with a convenient sample of 30 school-aged children and their accompanying parents at the pediatric dental clinic. The results indicated good usability, with a mean usability score of 79.91, and high likeability with a mean score of 4.32 out of 5 for the designed chatbot. Conclusions: The educational chatbot incorporated a combination of clinical dentistry practice and guidelines, aiming to promote oral self-care behavior in school-aged children. The designed chatbot achieved high scores for its usability and user likability.
RESUMO
The lncRNA tumor protein translationally controlled 1-antisense RNA 1 (TPT1-AS1) is known for its oncogenic role in various cancers, but its impact on the pathological progression of prostate cancer remains unclear. Our previous study demonstrated that the RE1-silencing transcription factor (REST) regulates neuroendocrine differentiation (NED) in prostate cancer (PCA) by derepressing specific long non-coding RNAs (lncRNAs), including TPT1-AS1. In this study, we revealed that TPT1-AS1 is overexpressed in LNCaP and C4-2B cells after IL-6 and enzalutamide treatment. By analyzing The Cancer Genome Atlas (TCGA) prostate adenocarcinoma dataset, we detected upregulated TPT1-AS1 expression in neuroendocrine-associated PCA but not in prostate adenocarcinoma. Single-cell RNA sequencing data further confirmed the increased TPT1-AS1 levels in neuroendocrine prostate cancer (NEPC) cells. Surprisingly, functional experiments indicated that TPT1-AS1 overexpression had no stimulatory effect on NED in LNCaP cells and that TPT1-AS1 knockdown did not inhibit IL-6-induced NED. Transcriptomic analysis revealed the essential role of TPT1-AS1 in synaptogenesis and autophagy activation in neuroendocrine differentiated PCA cells induced by IL-6 and enzalutamide treatment. TPT1-AS1 was found to regulate the expression of autophagy-related genes that maintain neuroendocrine cell survival through autophagy activation. In conclusion, our data expand the current knowledge of REST-repressed lncRNAs in NED in PCA and highlight the contribution of TPT1-AS1 to protect neuroendocrine cells from cell death rather than inducing NED. Our study suggested that TPT1-AS1 plays a cytoprotective role in NEPC cells; thus, targeting TPT1-AS1 is a potential therapeutic strategy.