Evidence map›Paper›PMID 41536020›Full record

Trial reportObesity (Silver Spring, Md.)2026

The MetaboHealth Score Enhances Insulin Resistance Metabotyping for Targeted Fat Loss: The PERSON Study.

Jordi Morwani-Mangnani, Fatih A Bogaards, Alexander Umanets, Gabby B Hul, Anouk Gijbels, Gijs H Goossens, Joris Deelen, Marian Beekman, Lydia Afman, Ellen E Blaak and 1 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

11 authors.

Jordi Morwani-MangnaniSection of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-4654-9317
Fatih A BogaardsSection of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Alexander UmanetsCentre for Healthy Eating and Food Innovation, Maastricht University-Campus Venlo, Venlo, the Netherlands.
Gabby B HulDepartment of Human Biology, Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+ , Maastricht, the Netherlands.
Anouk GijbelsDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Gijs H GoossensDepartment of Human Biology, Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+ , Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-2092-3019
Joris DeelenSection of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Marian BeekmanSection of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Lydia AfmanDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Ellen E BlaakDepartment of Human Biology, Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+ , Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-2496-3464
P Eline SlagboomSection of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.

Funding

ZonMw 457001001
6 · The paper itself

Abstract

objectiveWe previously identified distinct muscle and liver insulin resistance (IR) metabotypes in middle-aged and older adults. The PERSON study showed that a low-fat, high-protein, high-fiber diet benefits the muscle IR group, while a high-monounsaturated fatty acid diet benefits the liver IR group. We also developed the MetaboHealth score, reflecting risks of mortality, frailty, and cognitive decline. This study aimed to examine whether MetaboHealth interacts with IR metabotypes to influence (i) cardiometabolic health and (ii) body composition outcomes in the PERSON study, informing precision nutrition strategies.

methodsIn total, 242 adults aged 40-75 with IR were randomized to follow an isocaloric low-fat, high-protein, high-fiber or high-monounsaturated fatty acid diet for 12 weeks. Of these, 184 with complete data were grouped into MetaboHealth tertiles (higher = poorer health). Outcomes included a 7-point oral glucose tolerance test and DXA-based body composition. Linear mixed models assessed four-way interactions.

resultsNo interaction was observed for cardiometabolic outcomes. Significant interactions were found for android, gynoid, total fat percentage, and fat mass index. In the healthiest tertile, matched diets led to greater fat loss. In the poorest tertile, both diets were similarly effective. MetaboHealth remained unchanged.

conclusionsCombining metabotype with MetaboHealth may enhance personalized dietary strategies for fat loss in insulin-resistant adults.

Indexed as

Insulin ResistanceMetabolomicsObesityAdultAgedBody CompositionFemaleGlucose Tolerance TestHumansLiverMaleMiddle AgedMuscle, Skeletalagingbody compositionDXAinsulin resistancemetabolic diseasemetabolomics

Identifiers

PMID41536020
PMCPMC12933231

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.