Evidence map›Paper›PMID 34544430›Full record

Trial reportLipids in health and disease2021

Determinants of the postprandial triglyceride response to a high-fat meal in healthy overweight and obese adults.

Stephanie M Wilson, Adam P Maes, Carl J Yeoman, Seth T Walk, Mary P Miles

Registry-linked trialAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04128839 (Determining the Gut Microbiota-dependent Impacts of Anthocyanin-rich Aronia Berries on Obese Individuals of Distinct Inflammatory Phenotypes), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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.

NCT04128839 nacompletednot on this map

Determining the Gut Microbiota-dependent Impacts of Anthocyanin-rich Aronia Berries on Obese Individuals of Distinct Inflammatory Phenotypes

TypeinterventionalSponsorMontana State UniversityRan2019 to 2021Enrolled40ConditionsMetabolic Syndrome, Inflammation, Hypertriglyceridemia, ObesityArmsAronia berry juice, Sham comparator
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Anti-obesity peptides from food: Production, evaluation, sources, and commercialization.Comprehensive reviews in food science and food safety · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
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

5 authors.

Stephanie M WilsonDepartment of Health and Human Development, Montana State University, Box 173540, 20 Herrick Hall, MT, 59717, Bozeman, USA.
Adam P MaesSchool of Public and Community Health Sciences, University of Montana, Missoula, USA.
Carl J YeomanDepartment of Animal and Range Sciences, Montana State University, Bozeman, USA.
Seth T WalkDepartment of Microbiology and Cell Biology, Montana State University, Bozeman, USA.
Mary P MilesDepartment of Health and Human Development, Montana State University, Box 173540, 20 Herrick Hall, MT, 59717, Bozeman, USA. mmiles@montana.edu.

Funding

montana state university 51040-MSUR12015-03national institute of food and agriculture 2017-67018-26367
6 · The paper itself

Abstract

backgroundDyslipidemia is a feature of impaired metabolic health in conjunction with impaired glucose metabolism and central obesity. However, the contribution of factors to postprandial lipemia in healthy but metabolically at-risk adults is not well understood. We investigated the collective contribution of several physiologic and lifestyle factors to postprandial triglyceride (TG) response to a high-fat meal in healthy, overweight and obese adults.

methodsOverweight and obese adults (n = 35) underwent a high-fat meal challenge with blood sampled at fasting and hourly in the 4-hour postprandial period after a breakfast containing 50 g fat. Incremental area under the curve (iAUC) and postprandial magnitude for TG were calculated and data analyzed using a linear model with physiologic and lifestyle characteristics as explanatory variables. Model reduction was used to assess which explanatory variables contributed most to the postprandial TG response.

resultsTG responses to a high-fat meal were variable between individuals, with approximately 57 % of participants exceeded the nonfasting threshold for hypertriglyceridemia. Visceral adiposity was the strongest predictor of TG iAUC (β = 0.53, p = 0.01), followed by aerobic exercise frequency (β = 0.31, p = 0.05), insulin resistance based on HOMA-IR (β = 0.30, p = 0.04), and relative exercise intensity at which substrate utilization crossover occurred (β = 0.05, p = 0.04). For postprandial TG magnitude, visceral adiposity was a strong predictor (β = 0.43, p < 0.001) followed by aerobic exercise frequency (β = 0.23, p = 0.01), and exercise intensity for substrate utilization crossover (β = 0.53, p = 0.01).

conclusionsPostprandial TG responses to a high-fat meal was partially explained by several physiologic and lifestyle characteristics, including visceral adiposity, insulin resistance, aerobic exercise frequency, and relative substrate utilization crossover during exercise.

trial registrationClinicalTrials.gov, NCT04128839 , Registered 16 October 2019 - Retrospectively registered.

Indexed as

AdultArea Under CurveBlood GlucoseCross-Sectional StudiesDiet, High-FatExerciseFastingFemaleHumansHypertriglyceridemiaInsulinInsulin ResistanceMaleMetabolic SyndromeMiddle AgedObesityBlood GlucoseInsulinTriglyceridesHigh-fat mealmetabolic syndromeObesityPostprandial lipemia

Identifiers

PMID34544430
PMCPMC8451105

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.