Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology
Open accessAbstract
Elevated postprandial glycemic responses (PPGRs) are associated with type 2 diabetes and cardiovascular disease. PPGRs to the same foods have been shown to vary between individuals, but systematic characterization of the underlying physiologic and molecular basis is lacking. We measured PPGRs using continuous glucose monitoring in 55 well-phenotyped participants challenged with seven different standard carbohydrate meals administered in replicate. We also examined whether preloading a rice meal with fiber, protein or fat ('mitigators') altered PPGRs. We performed gold-standard metabolic tests and multi-omics profiling to examine the physiologic and molecular basis for interindividual PPGR differences. Overall, rice was the most glucose-elevating carbohydrate meal, but there was considerable interindividual variability. Individuals with the highest PPGR to potatoes (potato-spikers) were more insulin resistant and had lower beta cell function, whereas grape-spikers were more insulin sensitive. Rice-spikers were more likely to be Asian individuals, and bread-spikers had higher blood pressure. Mitigators were less effective in reducing PPGRs in insulin-resistant as compared to insulin-sensitive participants. Multi-omics signatures of PPGR and metabolic phenotypes were discovered, including insulin-resistance-associated triglycerides, hypertension-associated metabolites and PPGR-associated microbiome pathways. These results demonstrate interindividual variability in PPGRs to carbohydrate meals and mitigators and their association with metabolic and molecular profiles.
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Substantial inter-individual variability exists in glycemic responses to the same carbohydrate-rich foods, indicating that GI is influenced not only by food properties but also by personal metabolic and physiological factors.
“In this context, substantial inter‐individual variability exists in glycemic responses to the same carbohydrate‐rich foods, indicating that GI is influenced not only by food properties but also by personal metabolic and physiological factors [57].”
From Carbohydrate Storage and Supplementation Strategies for Peak Performance in Cross-Country Skiing (2026) · cites this paper as [57]
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References 58 · Cited by 48
- Authors
- Wu, Y., Ehlert, B., Metwally, A. A., Perelman, D., Park, H., Brooks, A. W., Abbasi, F., Michael, B., Celli, A., Bejikian, C., Ayhan, E., Lu, Y., Lancaster, S. M., Hornburg, D., Ramirez, L., Bogumil, D., Pollock, S., Wong, F., Bradley, D., Gutjahr, G., Rangan, E. S., Wang, T., McGuire, L., Venkat Rangan, P., Ræder, H., Shipony, Z., Lipson, D., McLaughlin, T., & Snyder, M. P.
- Affiliations
- Stanford Cardiovascular Institute (US)
- Stanford University (US)
- Google (United States) (US)
- Stanford Medicine (US)
- Johns Hopkins University (US)
- Amrita Vishwa Vidyapeetham (IN)
- Haukeland University Hospital (NO)
- Corresponding author
- McLaughlin, Tracey
- Snyder, Michael P.
- ORCID
- Wu, Yue
- Ehlert, Ben
- Metwally, Ahmed A.
- Perelman, Dalia
- Park, Heyjun
- Brooks, Andrew Wallace
- Abbasi, Fahim
- Michael, Basil
- Celli, Alessandra
- Ayhan, Ekrem
- Lu, Yingzhou
- Hornburg, Daniel
- Bogumil, David
- Pollock, Sarah
- Wong, Frank
- Gutjahr, Georg
- Rangan, Ekanath Srihari
- Wang, Tao
- McGuire, Lettie
- Ræder, Helge
- Shipony, Zohar
- Lipson, Doron
- McLaughlin, Tracey
- Snyder, Michael P.
- Venue
- Nature Medicine
- Published
- 2025-06-04
- Volume
- 31
- Issue
- 7
- Pages
- 2232-2243
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC12283382
- OpenAlex
- W4411037209
- Cited by
- 48
- References
- 58
- Citations by year
- 2026: 37 · 2025: 11
- FWCI
- 30.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Medicine (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services (F32DK126287, P30DK116074, 2T15LM007033, R01 DK110186-01)
- American Diabetes Association (11-23-PDF-76)
- National Institutes of Health (UM1TR004921)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK110186, F32DK126287, R01DK114183, P30DK116074)
- U.S. National Library of Medicine (T15LM007033)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- postprandial glycemic response, interindividual variability, carbohydrate meal, rice, potato, bread, insulin resistance, beta-cell function, dietary fiber, dietary protein, dietary fat, multi-omics signatures, gut microbiota, hypertension, type 2 diabetes risk, Asian ancestry
- MeSH terms
- Adult, Aged, Blood Glucose, Diabetes Mellitus, Type 2, Dietary Carbohydrates, Female, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Solanum tuberosum, Oryza, Postprandial Period, Glycemic Index
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