Evidence mapPaperPMID 37892445Full record

Trial reportNutrients2023

Differential Responders to a Mixed Meal Tolerance Test Associated with Type 2 Diabetes Risk Factors and Gut Microbiota-Data from the MEDGI-Carb Randomized Controlled Trial.

Viktor Skantze, Therese Hjorth, Mikael Wallman, Carl Brunius, Johan Dicksved, Erik A Pelve, Anders Esberg, Marilena Vitale, Rosalba Giacco, Giuseppina Costabile and 5 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

15 authors at 7 institutions in 3 countries.

Viktor SkantzeFraunhofer-Chalmers Research Centre for Industrial Mathematics, 412 88 Gothenburg, Sweden.ORCID 0000-0003-1350-1165
Therese HjorthDepartment of Life Sciences, Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.ORCID 0000-0001-6868-833X
Mikael WallmanFraunhofer-Chalmers Research Centre for Industrial Mathematics, 412 88 Gothenburg, Sweden.
Carl BruniusDepartment of Life Sciences, Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Johan DicksvedDepartment of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden.
Erik A PelveDepartment of Animal Nutrition and Management, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden.
Anders EsbergDepartment of Odontology, Umeå University, 901 87 Umeå, Sweden.ORCID 0000-0002-4430-8125
Marilena VitaleDiabetes, Nutrition and Metabolism Unit, Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy.ORCID 0000-0001-9951-4674
Rosalba GiaccoDiabetes, Nutrition and Metabolism Unit, Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy.ORCID 0000-0002-4006-9761
Giuseppina CostabileDiabetes, Nutrition and Metabolism Unit, Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy.ORCID 0000-0001-5761-8002
Robert E BergiaDepartment of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-7980-8541
Mats JirstrandFraunhofer-Chalmers Research Centre for Industrial Mathematics, 412 88 Gothenburg, Sweden.ORCID 0000-0002-6612-8037
Wayne W CampbellDepartment of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-7847-7242
Gabriele RiccardiDiabetes, Nutrition and Metabolism Unit, Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy.ORCID 0000-0003-4151-8298
Rikard LandbergDepartment of Life Sciences, Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Chalmers University of Technology · SEFederico II University Hospital · ITFraunhofer Chalmers Research Centre for Industrial Mathematics · SEPurdue University West Lafayette · USSwedish University of Agricultural Sciences · SEInstitute of Food Science · ITUmeå University · SE

Funding

Swedish Foundation for Strategic Research FID17-0020Swedish Research Council 2019-02202Swedish Research Council 2022-00924
6 · The paper itself

Abstract

The global prevalence of type 2 diabetes mellitus (T2DM) has surged in recent decades, and the identification of differential glycemic responders can aid tailored treatment for the prevention of prediabetes and T2DM. A mixed meal tolerance test (MMTT) based on regular foods offers the potential to uncover differential responders in dynamical postprandial events. We aimed to fit a simple mathematical model on dynamic postprandial glucose data from repeated MMTTs among participants with elevated T2DM risk to identify response clusters and investigate their association with T2DM risk factors and gut microbiota. Data were used from a 12-week multi-center dietary intervention trial involving high-risk T2DM adults, comparing high- versus low-glycemic index foods within a Mediterranean diet context (MEDGICarb). Model-based analysis of MMTTs from 155 participants (81 females and 74 males) revealed two distinct plasma glucose response clusters that were associated with baseline gut microbiota. Cluster A, inversely associated with HbA1c and waist circumference and directly with insulin sensitivity, exhibited a contrasting profile to cluster B. Findings imply that a standardized breakfast MMTT using regular foods could effectively distinguish non-diabetic individuals at varying risk levels for T2DM using a simple mechanistic model.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeAdultBlood GlucoseFemaleHumansInsulinMaleMealsRisk FactorsBlood GlucoseInsulinclusteringdifferential responderspersonalized nutrition

Identifiers

PMID37892445
PMCPMC10609681
OpenAlexW4387653523

What Socratic holds

Textmetadata
LicenceCC BY
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.