Carb Response & Metabolic Health: Biomarker Insights
- Individual responses to carbohydrates considerably affect blood sugar levels, depending on a person's metabolic health, Stanford Medicine researchers found.
- Postprandial glycemic responses (PPGRs), or glucose fluctuations after meals, reflect the body's reaction to carbohydrates and relate closely to beta cell function.
- Researchers examined PPGRs and their connections to metabolic subtypes and omics profiles by studying responses to standardized carbohydrate meals, including a rice meal, in individuals with detailed metabolic...
Understand how your body uniquely responds to carbs with this groundbreaking report. A recent Stanford study featured in news Directory 3 reveals that individual blood sugar reactions to carbohydrates drastically vary based on metabolic health, directly impacting diabetes prevention and treatment. this personalized approach highlights the importance of biomarkers like insulin resistance and beta-cell function. Discover why foods like pasta and potatoes triggered the highest blood sugar spikes, and explore the potential for tailored dietary guidelines. Uncover insights into optimizing your health and managing blood glucose levels. Discover what’s next in this evolving field.
Personalized Blood Sugar Control: key to Diabetes Prevention
Updated June 12, 2025
Individual responses to carbohydrates considerably affect blood sugar levels, depending on a person’s metabolic health, Stanford Medicine researchers found. The study, published in Nature, links these variations to conditions like insulin resistance and beta-cell dysfunction, both indicators of diabetes.
Postprandial glycemic responses (PPGRs), or glucose fluctuations after meals, reflect the body’s reaction to carbohydrates and relate closely to beta cell function. Elevated PPGRs are associated with prediabetes and increase the risk of type 2 diabetes (T2D). However, a extensive understanding of glucose dysregulation via PPGRs remains limited due to factors like insulin resistance and secretion.
Researchers examined PPGRs and their connections to metabolic subtypes and omics profiles by studying responses to standardized carbohydrate meals, including a rice meal, in individuals with detailed metabolic assessments.
Michael Snyder, PhD, professor of genetics at Stanford, noted the current American Diabetes Association dietary guidelines may not be effective because they treat everyone the same. He added that the study suggests subtypes exist within prediabetes, and these subtypes could determine optimal food choices.
The study involved 55 individuals without T2D, who underwent metabolic testing for insulin resistance and beta cell dysfunction, along with multi-omics profiling. These tests included triglyceride levels, blood metabolites, liver function measures, and gut microbiome data. Results showed 26 of the 55 individuals had prediabetes.
Participants wore continuous glucose monitors (CGMs) at home and consumed pre-portioned foods, including jasmine rice, buttered bread, shredded potato, pasta, canned black beans, grapes, and a berry mix.each carbohydrate was consumed twice in the morning after a 10- to 12-hour fast,with blood sugar responses monitored for three hours post-consumption.
Those with insulin resistance experienced the highest blood sugar spikes after eating pasta, while potatoes caused the greatest spikes in individuals with either insulin resistance or beta cell dysfunction. Multi-omics analysis revealed that potato-sensitive individuals also had elevated triglyceride and fatty acid levels, consistent with insulin resistance. Conversely, beans triggered blood sugar spikes linked with histidine and keto metabolism, indicating fat utilization for energy.
The study also found that elevated blood sugar after bread consumption correlated with a higher likelihood of hypertension. The differing glucose responses between potatoes and grapes were associated with insulin resistance, perhaps serving as a future biomarker.
“Such a biomarker would be useful as insulin resistance is amenable to lifestyle and medication interventions that can reduce risk for diabetes in high-risk individuals.At present there is no easy way to diagnose it in the clinic,”
Tracey McLaughlin, MD, professor of endocrinology and co-lead study author
The findings suggest that understanding personalized blood sugar responses could aid more tailored prevention and treatment approaches for prediabetes and diabetes, improving personalized blood sugar control.
“eating carbohydrates later in a meal is still a good idea even though it has not yet been sorted out whether it is best to eat protein, fat, or fiber before carbohydrates,”
Snyder said
What’s next
Future research will focus on refining personalized dietary recommendations based on individual metabolic profiles to optimize blood sugar control and prevent the progression to type 2 diabetes.