Evidence map›Paper›PMID 35287165›Full record

ArticleDiabetes care2022

Metabolome-Defined Obesity and the Risk of Future Type 2 Diabetes and Mortality.

Filip Ottosson, Einar Smith, Ulrika Ericson, Louise Brunkwall, Marju Orho-Melander, Salvatore Di Somma, Paola Antonini, Peter M Nilsson, Céline Fernandez, Olle Melander

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Filip OttossonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0002-8312-3545
Einar SmithDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0002-4150-2459
Ulrika EricsonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Louise BrunkwallDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Salvatore Di SommaDepartment of Medical-Surgery Sciences and Translational Medicine, University of Rome Sapienza, Rome, Italy.
Paola AntoniniGREAT Health Sciences, Rome, Italy.
Peter M NilssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Céline FernandezDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0003-1290-4982
Olle MelanderDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Lund University · SEWorld Health Organization - Italy · ITStatens Serum Institut · DK

Funding

European Research Council 885003
6 · The paper itself

Abstract

objectiveObesity is a key risk factor for type 2 diabetes; however, up to 20% of patients are normal weight. Our aim was to identify metabolite patterns reproducibly predictive of BMI and subsequently to test whether lean individuals who carry an obese metabolome are at hidden high risk of obesity-related diseases, such as type 2 diabetes. RESEARCH DESIGN AND

methodsLevels of 108 metabolites were measured in plasma samples of 7,663 individuals from two Swedish and one Italian population-based cohort. Ridge regression was used to predict BMI using the metabolites. Individuals with a predicted BMI either >5 kg/m2 higher (overestimated) or lower (underestimated) than their actual BMI were characterized as outliers and further investigated for obesity-related risk factors and future risk of type 2 diabetes and mortality.

resultsThe metabolome could predict BMI in all cohorts (r2 = 0.48, 0.26, and 0.19). The overestimated group had a BMI similar to individuals correctly predicted as normal weight, had a similar waist circumference, were not more likely to change weight over time, but had a two times higher risk of future type 2 diabetes and an 80% increased risk of all-cause mortality. These associations remained after adjustments for obesity-related risk factors and lifestyle parameters.

conclusionsWe found that lean individuals with an obesity-related metabolome have an increased risk for type 2 diabetes and all-cause mortality compared with lean individuals with a healthy metabolome. Metabolomics may be used to identify hidden high-risk individuals to initiate lifestyle and pharmacological interventions.

Indexed as

Diabetes Mellitus, Type 2Body Mass IndexHumansMetabolomeObesityRisk FactorsWaist Circumference

Identifiers

PMID35287165
PMCPMC9174969
OpenAlexW4220945999

What OpenQuestion holds

Textmetadata
LicenceTDM
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.