Evidence map›Paper›PMID 40641655›Full record

ArticleCurrent developments in nutrition2025

The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition.

Hrishikesh Chakraborty, Qi Sun, Shilpa N Bhupathiraju, Jeannette M Schenk, Darya O Mishchuk, James R Bain, Xuan He, Jianghao Sun, James Harnly, William Simmons and 24 more

Erratum issued 3 registry-linked trialsAbstract read
In one paragraph

Article in Current developments in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05580653 nacompletednot on this map

Phase 1 Seattle Dietary Biomarkers Development Center

TypeinterventionalSponsorMarian NeuhouserRan2023 to 2025Enrolled30ConditionsHealthy AdultsArmsControlled feeding study of beef and/or pinto beans, Controlled feeding study of eggs and/or black beans
NCT05616585 nacompletednot on this map

Dietary Biomarkers Development Center at Harvard University: Intervention Core

TypeinterventionalSponsorHarvard School of Public Health (HSPH)Ran2023 to 2025Enrolled115ConditionsBiological Markers, Diet, Healthy, Metabolomics, Nutrition, HealthyArmsPharmacokinetic (PK)- Controlled Feeding Diet, Dose Response (DR)- Controlled Feeding Diet
NCT05621863 nacompletednot on this map

University of California (UC), Davis Dietary Biomarkers Development Center

TypeinterventionalSponsorUniversity of California, DavisRan2023 to 2026Enrolled300ConditionsBiomarkersArmsAim 1 Meal Challenge 1, Aim 1 Meal Challenge 2, Aim 1 Meal Challenge 3, Aim 2 Typical American Diet, Aim 2 Typical American Diet Plus Test Foods
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Hrishikesh ChakrabortyDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Shilpa N BhupathirajuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Jeannette M SchenkPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Darya O MishchukDepartment of Food Science and Technology, University of California Davis, Davis, CA, United States.
James R BainDepartment of Medicine, Duke University School of Medicine, Durham, NC, United States.
Xuan HeDepartment of Food Science and Technology, University of California Davis, Davis, CA, United States.
Jianghao SunMethods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, United States.
James HarnlyMethods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, United States.
William SimmonsDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States.
Daniel RafteryPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
John W NewmanDepartment of Nutrition, University of California Davis, Davis, CA, United States.
Oliver FiehnWest Coast Metabolomics Center, UC Davis Genome Center, University of California Davis, Davis, CA, United States.
Clary B ClishBroad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States.
Johanna W LampePublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Brian J BennettDepartment of Nutrition, University of California Davis, Davis, CA, United States.
Sandi L NavarroPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Ying WangAmerican Cancer Society, Atlanta, GA, United States.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States.
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Marjorie L McCulloughAmerican Cancer Society, Atlanta, GA, United States.
Ying HuangPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Ali ShojaieDepartment of Biostatistics, University of Washington, Seattle, WA, United States.
Wentao ZhuDepartment of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, United States.
Danijel DjukovicDepartment of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, United States.
Frank SacksDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Jonathan WilliamsDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Francene M SteinbergDepartment of Nutrition, University of California Davis, Davis, CA, United States.
Sean H AdamsDepartment of Surgery, University of California Davis School of Medicine, Sacramento, CA, United States.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Marian L NeuhouserPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Carolyn M SlupskyDepartment of Food Science and Technology, University of California Davis, Davis, CA, United States.
Padma MaruvadaDivision of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, United States National Institutes of Health, Bethesda, MD, United States.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON · 1986 to 2026
$30.4M
Multicultural Healthy Diet to Reduce Cognitive Decline & Alzheimer Disease RiskR01AG055527 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MOSSAVAR-RAHMANI, YASMIN · 2017 to 2022
$4.7M
NIA NIH HHS R01 AG055527NIDDK NIH HHS P30 DK035816NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

Diet is a complex exposure that affects health across the lifespan. Objective biomarkers that can reliably reflect intake of nutrients, foods, and dietary patterns with sufficient accuracy are an important tool for assessing associations of diet with health outcomes. Advances in metabolomics, coupled with feeding trials and high-dimensional bioinformatics analyses, pave the way for discovering compounds that can serve as sensitive and specific biomarkers of dietary exposures. The Dietary Biomarkers Development Consortium (DBDC) is leading the first major effort to improve dietary assessment through the discovery and validation of biomarkers for foods commonly consumed in the United States diet. To achieve this goal, a 3-phase approach will be implemented to identify, evaluate, and validate food biomarkers. In phase 1, 3 controlled feeding trial designs will be implemented by administering test foods in prespecified amounts to healthy participants, followed by metabolomic profiling of blood and urine specimens collected during the feeding trials to identify candidate compounds. Data from these studies will characterize the pharmacokinetic parameters of candidate biomarkers associated with specific foods. In phase 2, the ability of candidate biomarkers to identify individuals eating the biomarker-associated foods will be evaluated using controlled feeding studies of various dietary patterns. In phase 3, the validity of candidate biomarkers to predict recent and habitual consumption of specific test foods will be evaluated in independent observational settings. Data generated during all study phases will be archived in a publicly accessible database as a resource for the research community. The DBDC aims to significantly expand the list of validated biomarkers of intake for foods consumed in the United States diet, which can help advance understanding of how diet influences human health. This manuscript discusses the DBDC's organizational infrastructure, study design, laboratory methods, and strategies for dietary biomarker discovery and validation. Trial registration number: This trial was registered at Phase 1 Seattle Dietary Biomarkers Development Center (P1-SDBDC) as NCT05580653, at Fruit and Vegetable Biomarker Discovery (UCD-DBDC) as NCT05621863, and at Dietary Biomarkers Intervention Core as NCT05616585.

Indexed as

consortiumdietary biomarkersdietary exposuresfood chemistrymetabolomics

Identifiers

PMID40641655
PMCPMC12242990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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 OpenQuestion graph.