Evidence mapPaperPMID 40471663Full record

ReviewNutrition reviews2025

Metabolomic Data May Support the Development of Personalized Nutrition Approaches to Type 2 Diabetes Management.

Danielle J Lee, Shragvi Balaji, Jerome I Rotter, Alexis C Wood

Abstract readReview
In one paragraph

Review in Nutrition reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Danielle J LeeDepartment of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX 77030, United States.ORCID 0009-0005-5320-4191
Shragvi BalajiDepartment of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX 77030, United States.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, United States.ORCID 0000-0001-7191-1723
Alexis C WoodDepartment of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX 77030, United States.ORCID 0000-0001-7616-2119

Funding

UCLA Clinical and Translational Science InstituteUL1TR001881 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$9.9M
Pilot & Feasibility ProgramP30DK063491 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2003 to 2025
$5.4M
Agricultural Research Service #58-3092-5-001NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1TR001420NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1TR001881NIDDK NIH HHS P30 DK063491NIDDK NIH HHS P30-DK063491NIDDK NIH HHS R01 DK109588NIDDK NIH HHS R01-DK109588NIH HHSUS Department of Agriculture
6 · The paper itself

Abstract

Diet is a major modifiable risk factor for type 2 diabetes (T2D), and suboptimal diets continue to contribute substantially to the population burden of T2D. Personalized nutrition proponents argue that specializing recommendations to interindividual differences in diet-health relationships will yield reductions in disease risk. However, how to personalize diet, and to whom, to reduce T2D risk remains unclear. Metabolites offer promise in this respect, as they capture (in part) dietary intake after the processes of digestion, processing, and absorption. The incorporation of metabolite data into diet-health studies therefore offers the opportunity to examine how the effects of food on the metabolome differ between individuals, and the extent that these differences give rise to differential diet-health associations. Ultimately, such studies hold promise for identifying personalized nutrition strategies to reduce the population-level burden of T2D.

Indexed as

Diabetes Mellitus, Type 2DietMetabolomeMetabolomicsPrecision MedicineHumansdietary guidelinesheterogeneitymetabolomicspersonalized nutritiontype 2 diabetes

Identifiers

PMID40471663
PMCPMC12166166

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.