Key quote:
"The RISK of developing obesity comes from genes."
Note that he doesn't say obesity itself is caused by genes. This would be an oversimplification!
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You've seen this graph in several versions. This is what happens when genes set a risk level and the environment selects for it, resulting in a specific phenotype
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The usual (known) monogene culprits. If you're studying for obesity boards, know these.
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An excellent explanation of the genome wide polygenic risk score (GPRS). Using data of 2.1 million SNPs as markers for ↑weight or ↓weight, we can predict with SOME accuracy what the #weight differential will be at middle age, comparing highest and lowest risk cohorts
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We're not just studying obesogenic genes but also those that protect against #obesity
- drugs can cause false negative screens but not false positive screens
- you can probably just treat with mineralocorticoid antagonist instead of going through the diagnostic steps
- "Tirzepatide is a dual agonist"
👉It ↑GIP activity but GLP-1R agonism is less than that of endogenous GLP-1
- "Hypoglycemia is not a concern if you're not on insulin"
👉Risk of hypoglycemia ~1.4% vs. 0.2% in placebo in SURMOUNT-1
@alpanashuklamd et al examined the effect of macronutrient sequencing (carbs first vs carbs last) in ppl with diabetes, prediabetes, or gestational diabetes
Among those with prediabetes, we saw significant differences in glucose, insulin, ghrelin, and GLP-1 -- all favoring the "carbohydrates-last" food order
Always a pleasure to listen to @KevinH_PhD discuss his testing of hypotheses in contributors to #obesity 1/
Many people remember his 14-day study of ultra processed foods (UPF) vs unprocessed foods (n=20) that found energy intake was ~500 kcal/d LESS with unprocessed meals
Details you might not know:
- Groups were not matched for type of sugar
- No hint of a difference in insulin sensitivity between groups based on OGTT results
- Groups were not matched for beverage amount (and implication for speed of food intake)
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Ready for an #obesity#research disruptor? @bcorkey 's studies on hyperinsulinemia and inflammation are a perennial favorite
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We often focus on slow or fast metabolism but there isn't enough talk on *energy efficiency*. See how much additional Δkcal is required (beyond that calculated) to effect 10% weight Δ: nejm.org/doi/full/10.10…
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"We ignore this important variable: involuntary control of energy metabolism" - @bcorkey