Evidence map›Paper›PMID 34293154›Full record

ArticleThe Journal of nutrition2021

Measuring Postprandial Metabolic Flexibility to Assess Metabolic Health and Disease.

Elaine A Yu, Ngoc-Anh Le, Aryeh D Stein

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06878781 (Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT06878781 narecruitingnot on this mapstarted 2024, after this paper: background citation

Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility

TypeinterventionalSponsorInstituto Nacional de Medicina GenomicaRan2024 to 2026Enrolled300ConditionsFasting, Postprandial Hyperglycemia, Lipid Metabolism Disorders, Glucose Metabolism DisordersArmsHigh carbohydrate challenge, High lipid challenge, High proteinchallenge
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026
    Review
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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

3 authors.

Elaine A YuHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Ngoc-Anh LeBiomarker Core Laboratory, Foundation for Atlanta Veterans Education and Research (FAVER), Atlanta Veterans Affairs Health Care System (AVAHCS), Atlanta, GA, USA.
Aryeh D SteinHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
Research Trainng in Academic CardiologyT32HL007745 · NHLBI · EMORY UNIVERSITY · PI TAYLOR, WILLIAM ROBERT · 1994 to 2023
$10.6M
Early childhood nutrition and adult metabolomic and cardiometabolic profilesR01HD075784 · NICHD · EMORY UNIVERSITY · PI STEIN, ARYEH DAVID · 2014 to 2018
$2.7M
NHLBI NIH HHS T32 HL007745NICHD NIH HHS R01 HD075784NIEHS NIH HHS P30 ES019776
6 · The paper itself

Abstract

Metabolic abnormalities substantially increase the risk of noncommunicable diseases, which are among the leading causes of mortality globally. Mitigating and preventing these adverse consequences remains challenging due to a limited understanding of metabolic health. Metabolic flexibility, a key tenet of metabolic health, encompasses the responsiveness of interrelated pathways to maintain energy homeostasis throughout daily physiologic challenges, such as the response to meal challenges. One critical underlying research gap concerns the measurement of postprandial metabolic flexibility, which remains incompletely understood. We concisely review the methodology for assessment of postprandial metabolic flexibility in recent human studies. We identify 3 commonalities of study design, specifically the nature of the challenge, nature of the response measured, and approach to data analysis. Primary interventions were acute short-term nutrition challenges, including single- and multiple-macronutrient tolerance tests. Postmeal challenge responses were measured via laboratory assays and instrumentation, based on a diverse set of metabolic flexibility indicators [e.g., energy expenditure (whole-body indirect calorimetry), glucose and insulin kinetics, metabolomics, transcriptomics]. Common standard approaches have been diabetes-centric with single-macronutrient challenges (oral-glucose-tolerance test) to characterize the postprandial response based on glucose and insulin metabolism; or broad measurements of energy expenditure with calculated macronutrient oxidation via indirect calorimetry. Recent methodological advances have included the use of multiple-macronutrient meal challenges that are more representative of physiologic meals consumed by free-living humans, combinatorial approaches for assays and instruments, evaluation of other metabolic flexibility indicators via precision health, systems biology, and temporal perspectives. Omics studies have identified potential novel indicators of metabolic flexibility, which provide greater granularity to prior evidence from canonical approaches. In summary, recent findings indicate the potential for an expanded understanding of postprandial metabolic flexibility, based on nonclassical measurements and methodology, which could represent novel dynamic indicators of metabolic diseases.

Indexed as

Blood GlucosePostprandial PeriodCalorimetry, IndirectCross-Over StudiesEnergy MetabolismHumansInsulinMealsBlood GlucoseInsulinmeal challengemetabolic flexibilitynutrition challengepostprandialreview

Identifiers

PMID34293154
PMCPMC8562077

What OpenQuestion holds

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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.