Insulin Resistance - foundations, history, molecular & cellular mechanisms, development, consequences, diabetes, heart disease, weight gain, nutritional & pharmacological interventions

03/06/2025 1h 32min Temporada 25 Episodio 26

Listen "Insulin Resistance - foundations, history, molecular & cellular mechanisms, development, consequences, diabetes, heart disease, weight gain, nutritional & pharmacological interventions"

Episode Synopsis

Today's episode answers the following questions, among others:What is insulin resistance?What does insulin normally do in the body?What are the main symptoms or signs of insulin resistance?How is insulin resistance diagnosed by doctors?What are the major health problems linked to insulin resistance (e.g., diabetes, heart disease)?What is metabolic syndrome and how does it relate to insulin resistance?What are the main causes or risk factors for developing insulin resistance?How does diet (e.g., sugar, fats, carbs) affect insulin resistance?Can exercise help improve insulin resistance, and how?Are there medications to treat insulin resistance? What is metformin?Can insulin resistance be prevented or reversed?Is insulin resistance genetic, or is it mainly caused by lifestyle?How does insulin resistance affect different organs like the liver, muscle, and fat tissue?What is the difference between insulin resistance and Type 2 Diabetes?Are there any controversies or ongoing debates about what causes or best treats insulin resistance? Request a topic:https://linktr.ee/deepresearchreview About Deep Research Review:In this ad-free educational podcast, Deep Research reports from Gemini, ChatGPT, Grok, and Perplexity are synthesized to find the objective truth about any topic. Join researcher and entrepreneur Landon Kelson as he pushes the boundaries of research and access to information. Topics include family, technology, pharmacology, astronomy, geography, philosophy, psychology, medicine, history, sports, music, religion, politics, and more. New episodes every morning. Disclaimer: Some content on this podcast is AI-generated and may contain biased, offensive, misleading, or outright false information. Nothing is intended as medical, financial, or legal advice. I do my best to encourage unbiased and factual reporting throughout the entire process, but I don't vet or modify AI-generated content in any way; therefore, a healthy dose of critical thinking should always be applied, and listeners would do well to supplement this material with their own research.

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