Genetic Factors May Explain Weight Loss Struggles with Ozempic and Mounjaro
Struggling To Lose Weight On Ozempic, Mounjaro? Study Says Your Genes Might Be the Hurdle
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A recent study suggests that genetic variations may influence the effectiveness of weight loss medications Ozempic and Mounjaro. Analyzing DNA from nearly 28,000 patients, researchers found specific gene variants that affect weight loss outcomes and side effects, paving the way for personalized obesity treatment.
- 01Genetic variations can impact weight loss effectiveness with Ozempic and Mounjaro.
- 02A study analyzed DNA from nearly 28,000 patients to identify relevant gene variants.
- 03Specific variants in the GLP1R and GIPR genes influence weight loss and side effects.
- 04Personalized treatment approaches could improve success rates for patients.
- 05Affordable genetic testing could enhance obesity care, especially in countries like India.
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Weight loss drugs such as Ozempic (semaglutide) and Mounjaro (tirzepatide) have gained popularity for their effectiveness in helping individuals lose weight. However, not all users achieve the same results, with some struggling to lose even 5% of their body weight. A groundbreaking study published in the journal Nature reveals that genetic factors may play a crucial role in these differing outcomes. Researchers from 23andMe conducted a genome-wide association study (GWAS) on nearly 28,000 patients using these medications, identifying specific gene variants associated with weight loss success and side effects like nausea. Notably, the GLP1R gene variant rs10305420 was linked to a loss of approximately 0.76 kg (1.6 lbs) more per allele in carriers compared to non-carriers. The findings suggest that genetics could guide personalized obesity treatments, moving away from trial-and-error approaches. Experts recommend genetic testing to tailor treatment plans, potentially enhancing effectiveness and reducing dropout rates due to side effects. This approach could be particularly transformative in countries like India, where obesity affects over 135 million adults.
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The findings could lead to more effective obesity treatments tailored to individual genetic profiles, potentially improving weight loss success rates and minimizing side effects.
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