Evidence map›Paper›PMID 33507147›Full record

ArticleeLife2021

An integrative model of cardiometabolic traits identifies two types of metabolic syndrome.

Amit Frishberg, Inge van den Munckhof, Rob Ter Horst, Kiki Schraa, Leo Ab Joosten, Joost Hw Rutten, Adrian C Iancu, Ioana M Dregoesc, Bogdan A Tigu, Mihai G Netea and 2 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Amit Frishberg *The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-6912-9801
Inge van den Munckhof *Department of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Rob Ter HorstDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Kiki SchraaDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Leo Ab JoostenDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.ORCID 0000-0001-6166-9830
Joost Hw RuttenDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Adrian C IancuDepartment of Cardiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ioana M DregoescDepartment of Cardiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0003-0340-4476
Bogdan A TiguMedFuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0001-9397-0791
Mihai G NeteaDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Niels P Riksen *Department of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.ORCID 0000-0001-9197-8124
Irit Gat-Viks *The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-5431-6444

Funding

European Research Council 833247
6 · The paper itself

Abstract

Human diseases arise in a complex ecosystem composed of disease mechanisms and the whole-body state. However, the precise nature of the whole-body state and its relations with disease remain obscure. Here we map similarities among clinical parameters in normal physiological settings, including a large collection of metabolic, hemodynamic, and immune parameters, and then use the mapping to dissect phenotypic states. We find that the whole-body state is faithfully represented by a quantitative two-dimensional model. One component of the whole-body state represents 'metabolic syndrome' (MetS) - a conventional way to determine the cardiometabolic state. The second component is decoupled from the classical MetS, suggesting a novel 'non-classical MetS' that is characterized by dozens of parameters, including dysregulated lipoprotein parameters (e.g. low free cholesterol in small high-density lipoproteins) and attenuated cytokine responses of immune cells to ex vivo stimulations. Both components are associated with disease, but differ in their particular associations, thus opening new avenues for improved personalized diagnosis and treatment. These results provide a practical paradigm to describe whole-body states and to dissect complex disease within the ecosystem of the human body.

Indexed as

AdultAgedCardiovascular DiseasesFemaleHumansMaleMetabolic SyndromeMiddle AgedRisk FactorsYoung Adultcardiometabolic diseasecomputational biologycomputational modelinghumanmedicinemetabolic syndromemulti-omics dataphenotypic statessystems biology

Identifiers

PMID33507147
PMCPMC7906604

What Socratic holds

Textmetadata
LicenceCC BY
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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.