Meta-IMU: A R Shiny App to Conduct Meta-Analysis in Systematic Review and Umbrella Reviews Many tools exist for conducting meta-analyses in systematic reviews, but they are often expensive or difficult for beginners to use. This challenge arises because most tools either fail to address all aspects of meta-analysis comprehensively or lack sufficient guidance for navigating their features. To address these limitations, we developed Meta-IMU, a free R-based Shiny application tailored specifically for beginners. Unlike many existing tools that focus solely on standard systematic reviews, Meta-IMU supports both systematic reviews and umbrella reviews, offering a more versatile approach. To ensure accessibility, Meta-IMU includes built-in instructional videos that guide users step by step, from navigating the application to interpreting the results produced. This guidance ensures users can confidently perform analyses without prior expertise. Meta-IMU encompasses a comprehensive range of features covering key aspects of meta-analysis, such as defining review questions, developing search terms, retrieving studies from various databases, assessing risk of bias, creating tables and plots, analysing small-study effects, performing meta-regression and subgroup analyses, conducting sensitivity analyses, assessing the certainty of evidence, summarizing findings, and generating PRISMA checklist reports. By integrating these functionalities into a single platform, Meta-IMU provides a user-friendly, all-in-one solution. In summary, Meta-IMU is a comprehensive, free application designed to simplify the process of meta-analysis for both systematic reviews and umbrella reviews, making advanced analytical techniques accessible to researchers at any level of experience.

Purpose: Direct student involvement in quality processes in education has been suggested to encourage shared responsibilities among faculty and students. The objectives of this study were to explore undergraduate health professions students’ understanding of quality assurance (QA) in education, and identify the challenges and enablers for student involvement in an Asian context. Methods: Twenty semi-structured interviews were conducted among medical, dentistry, and pharmacy students in a Malaysian University. The interviews were audio-recorded, transcribed verbatim, and thematically analyzed to understand the students’ perspectives of QA in education. Results: The participants recognized the importance of QA towards ensuring the quality of their training, which will consequently impact their work readiness, employability, and quality of healthcare services. Academic governance, curriculum structure, content and delivery, faculty and student quality, teaching facilities, and learning resources were indicated as the QA areas. The challenges for students’ involvement included students’ attitude, maturity, and cultural barrier. To enhance their buy-in, clear objectives and impact, efficient QA mechanism, and recognition of students’ contribution had been suggested. Conclusion The findings of this study support student-faculty partnership in QA processes and decision making.

Given that increased thermogenesis in white adipose tissue, also known as browning, promotes energy expenditure, significant efforts have been invested to determine the molecular factors involved in this process. Here we show that HOXC10, a homeobox domain-containing transcription factor expressed in subcutaneous white adipose tissue, is a suppressor of genes involved in browning white adipose tissue. Ectopic expression of HOXC10 in adipocytes suppresses brown fat genes, whereas the depletion of HOXC10 in adipocytes and myoblasts increases the expression of brown fat genes. The protein level of HOXC10 inversely correlates with brown fat genes in subcutaneous white adipose tissue of cold-exposed mice. Expression of HOXC10 in mice suppresses cold-induced browning in subcutaneous white adipose tissue and abolishes the beneficial effect of cold exposure on glucose clearance. HOXC10 exerts its effect, at least in part, by suppressing PRDM16 expression. The results support that HOXC10 is a key negative regulator of the process of browning in white adipose tissue.
Adipocytes ; Adipose Tissue, Brown ; Adipose Tissue, White ; Animals ; Ectopic Gene Expression ; Energy Metabolism ; Genes, Homeobox ; Glucose ; Mice ; Myoblasts ; Thermogenesis ; Transcription Factors