Postgraduate medical journal
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The mechanisms underlying osteoarthritis (OA) remain unclear, and effective treatments are lacking. This study aims to identify OA-related genes and explore their potential in drug repositioning for OA treatment. ⋯ This study identified potential OA-related genes and explored their roles in drug repositioning, suggesting the repurposing of existing drugs and the development of new therapeutic options for OA patients. Key message What is already known on this topic The exact pathogenesis of osteoarthritis (OA) remains unclear, and currently, there are no approved drugs that can prevent, halt, or inhibit the progression of OA. What this study adds We identified 128 OA-related genes and 10 core-related genes based on common biological processes revealed by TWAS and mRNA expression profiling. Using these genes, we discovered potential drugs for OA through the Network-based drug repositioning method. How this study might affect research, practice, or policy This study provides recommendations for repositioning existing drugs and developing new treatment options for patients with OA.
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Observational studies have suggested a potential link between emotions and inflammatory dermatoses. However, research on the causal relationship between different types of emotions and inflammatory dermatoses is lacking. This study is aimed to investigate the causal relationship between negative emotions and inflammatory dermatoses through Mendelian randomization (MR) analysis. ⋯ This MR study revealed bidirectional causality between worrier/anxious feelings and eczema. It also found that guilty feelings may elevate the risk of psoriasis, and individuals with psoriasis may experience increased rates of miserableness, worrier/anxious feelings, nervous feelings, and loneliness/isolation.
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To evaluate the effectiveness of ChatGPT-generated feedback compared to expert-written feedback in improving clinical reasoning skills among first-year medical students. ⋯ ChatGPT-generated feedback can be an effective alternative to expert feedback in improving clinical reasoning skills in medical students, particularly in resource-constrained settings with limited expert availability. However, AI-generated feedback may lack the nuance needed for more complex cases, emphasizing the need for expert review. Additionally, exposure to the drawbacks in AI-generated feedback can enhance students' critical approach towards AI-generated educational content.