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To explore the use of ChatGPT by educators and students in a medical school setting. This study used the public version of ChatGPT launched by OpenAI on November 30, 2022 (). We employed prompts to ask ChatGPT to 1) generate a content outline for a session on the topics of cholesterol, lipoproteins, and hyperlipidemia for medical students; 2) produce a list of learning objectives for the session; and 3) write assessment questions with and without clinical vignettes related to the identified learning objectives. We assessed the responses by ChatGPT for accuracy and reliability to determine the potential of the chatbot as an aid to educators and as a "know-it-all" medical information provider for students. ChatGPT can function as an aid to educators, but it is not yet suitable as a reliable information resource for educators and medical students. ChatGPT can be a useful tool to assist medical educators in drafting course and session content outlines and create assessment questions. At the same time, caution must be taken as ChatGPT is prone to providing incorrect information; expert oversight and caution are necessary to ensure the information generated is accurate and beneficial to students. Therefore, it is premature for medical students to use the current version of ChatGPT as a "know-it-all" information provider. In the future, medical educators should work with programming experts to explore and grow the full potential of AI in medical education. [ABSTRACT FROM AUTHOR]

Rising obesity levels, worldwide, are resulting in substantial increases in cardiovascular disease, diabetes, kidney disease, musculoskeletal disorders, and certain cancers, and obesity-associated illnesses are estimated to cause ∼4 million deaths worldwide per year. A common theme in this disease epidemic is the chronic systemic inflammation that accompanies obesity. CD4+ Foxp3+ regulatory T cells residing in visceral adipose tissues (VAT Tregs) are a unique immune cell population that play essential functions in restricting obesity-associated systemic inflammation through regulation of adipose tissue homeostasis. The distinct transcriptional program that defines VAT Tregs has been described, but directly linking VAT Treg differentiation and function to improving insulin sensitivity has proven more complex. Here we review new findings which have clarified how VAT Tregs differentiate, and how distinct VAT Treg subsets regulate VAT homeostasis, energy expenditure, and insulin sensitivity. [ABSTRACT FROM AUTHOR]