Cited by 48Food composition and propertiesDiet, Metabolism, and DiseaseNutrition, Genetics, and Disease

Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology

Open access
Wu, Yue, Ehlert, Ben, Metwally, Ahmed A., Perelman, Dalia, Park, Heyjun, Brooks, Andrew Wallace, Abbasi, Fahim, Michael, Basil +21 more·2025·Nature Medicine

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41591-025-03719-2

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

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.
Venue
Nature Medicine
Published
2025-06-04
Volume
31
Issue
7
Pages
2232-2243
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W4411037209
Cited by
48
References
58
Citations by year
2026: 37 · 2025: 11
FWCI
30.54
Type
journal article
Language
en
Open access
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review