Evidence map›Paper›PMID 40926231›Full record

ArticleImmunity & ageing : I & A2025

Extreme MetaboHealth scores in three cohort studies associate with plasma protein markers for inflammation and cholesterol transport.

Daniele Bizzarri, Erik B van den Akker, Marcel J T Reinders, René Pool, Marian Beekman, Nico Lakenberg, Nicolas Drouin, Kelly E Stecker, Albert J R Heck, Edward F Knol and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Immunity & ageing : I & A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Daniele BizzarriDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
Erik B van den AkkerDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
Marcel J T ReindersDepartment of Biomedical Data Sciences, Leiden Computational Biology Center, LUMC, Leiden, The Netherlands.
René PoolDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Marian BeekmanDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
Nico LakenbergDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
Nicolas DrouinLeiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands.
Kelly E SteckerBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Edward F KnolCenter of Translational Immunology and Dermatology/Allergology, University Medical Center Utrecht, Utrecht, The Netherlands.
Jeannette M VergeerDepartment of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
Mohsen GhanbariDepartment of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
Alain J van GoolTranslational Metabolic Laboratory, Department of Laboratory Medicine, Radboud University Medical Center, , Nijmegen, the Netherlands.
Joris DeelenDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
Bbmri-NlBBMRI-NL: https://www.bbmri.nl; see Consortium Banner Supplement S1.
Dorret I BoomsmaDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
P Eline SlagboomDepartment of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands. p.slagboom@lumc.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 184.021.007 and 184.033.111Nederlandse Organisatie voor Wetenschappelijk Onderzoek VENI:09150161810095ZonMw 457001001
6 · The paper itself

Abstract

The MetaboHealth score is an indicator of physiological frailty in middle aged and older individuals. The aim of the current study was to explore which molecular pathways co-vary with the MetaboHealth score. Using a Luminex cytokine assay and liquid chromatography-mass spectrometry-based proteomics we explored the plasma proteins associating with the difference in 100 extreme scoring individuals selected from two large population cohorts, the Leiden Longevity Study (LLS) and the Rotterdam Study (RS), and discordant monozygotic twin pairs from the Netherlands Twin Register (NTR). In addition, we estimated the heritability of the score using 726 monozygotic (MZ) and 450 dizygotic (DZ) twin pairs. In the contrasting extreme scoring individuals from LLS and RS, we uncovered significant differences in 3 (out of 15) cytokines (GDF15, IL6, and MIG), and 106 (out of 289) plasma proteins. The high, poor health related, score associated with 42 increased inflammatory and immune related protein levels (CRP, LBP, HPT) and lowered levels of 71 HDL remodeling and cholesterol transport related proteins (e.g. APOA1, APOA2, APOA4, and TETN). Using the NTR twins, we subsequently showed that the MetaboHealth score is moderately heritable (h

Identifiers

PMID40926231
PMCPMC12418662

What OpenQuestion 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 OpenQuestion graph.