Energy balance
Gut microbiota composition determines individual variability in postprandial glycemic responses to standardized meals, enabling prediction of glucose spikes via machine learning models trained on metagenomic data.
Your gut bacteria uniquely determine how your blood sugar reacts to food. This is why one person might spike after a meal while another doesn't. Personalized nutrition strategies based on your microbiome can help manage glucose levels more effectively than generic advice.
Using personal data on GM composition and other information such as blood biomarkers and dietary habits, machine-learning approaches have been applied to predict postprandial glycemic responses to standardized meals with greater accuracy than other predictive methods (63,64).
Why this rating
Based on machine learning models trained on large cohorts with replicable results.
Source
The Gut Microbiota and Diabetes: Research, Translation, and Clinical Applications—2023 <i>Diabetes</i>, <i>Diabetes Care</i>, and <i>Diabetologia</i> Expert Forum
Mariana X. Byndloss et al. · Diabetes · 2024
DOI 10.2337/dbi24-0028
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