Evidence map›Paper›PMID 28861127›Full record

ArticleGenes & nutrition2017

Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge.

Suzan Wopereis, Johanna H M Stroeve, Annette Stafleu, Gertruud C M Bakker, Jacobus Burggraaf, Marjan J van Erk, Linette Pellis, Ruud Boessen, Alwine A F Kardinaal, Ben van Ommen

2 registry-linked trialsAbstract read
In one paragraph

Article in Genes & nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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.

NCT05987748 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Clock Thickens: Morning or Evening Training for the Treatment of NAFLD? (TikTac Study)

TypeinterventionalSponsorLeiden University Medical CenterRan2023 to 2024Enrolled40ConditionsNon-Alcoholic Fatty Liver DiseaseArmsExercise training
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

64 citing papers in PubMed.

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4 more citing papers are in PubMed but not listed here.

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

10 authors.

Suzan WopereisTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.ORCID 0000-0001-9612-657X
Johanna H M StroeveTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Annette StafleuTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Gertruud C M BakkerTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Jacobus BurggraafCentre for Human Drug Research (CHDR), Leiden, The Netherlands.
Marjan J van ErkTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Linette PellisTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Ruud BoessenTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Alwine A F KardinaalTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.
Ben van OmmenTNO, Netherlands Institute for Applied Scientific Research, Zeist, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA key feature of metabolic health is the ability to adapt upon dietary perturbations. Recently, it was shown that metabolic challenge tests in combination with the new generation biomarkers allow the simultaneous quantification of major metabolic health processes. Currently, applied challenge tests are largely non-standardized. A systematic review defined an optimal nutritional challenge test, the "PhenFlex test" (PFT). This study aimed to prove that PFT modulates all relevant processes governing metabolic health thereby allowing to distinguish subjects with different metabolic health status. Therefore, 20 healthy and 20 type 2 diabetic (T2D) male subjects were challenged both by PFT and oral glucose tolerance test (OGTT). During the 8-h response time course, 132 parameters were quantified that report on 26 metabolic processes distributed over 7 organs (gut, liver, adipose, pancreas, vasculature, muscle, kidney) and systemic stress.

resultsIn healthy subjects, 110 of the 132 parameters showed a time course response. Patients with T2D showed 18 parameters to be significantly different after overnight fasting compared to healthy subjects, while 58 parameters were different in the post-challenge time course after the PFT. This demonstrates the added value of PFT in distinguishing subjects with different health status. The OGTT and PFT response was highly comparable for glucose metabolism as identical amounts of glucose were present in both challenge tests. Yet the PFT reports on additional processes, including vasculature, systemic stress, and metabolic flexibility.

conclusionThe PFT enables the quantification of all relevant metabolic processes involved in maintaining or regaining homeostasis of metabolic health. Studying both healthy subjects and subjects with impaired metabolic health showed that the PFT revealed new processes laying underneath health. This study provides the first evidence towards adopting the PFT as gold standard in nutrition research.

Indexed as

BiomarkersMetabolic healthNutritionNutritional challenge testPhenotypic flexibilityType 2 diabetes

Identifiers

PMID28861127
PMCPMC5576306

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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.