Evidence map›Paper›PMID 34181708›Full record

ArticleThe Journal of clinical endocrinology and metabolism2021

The Relation Between Adult Weight Gain, Adipocyte Volume, and the Metabolic Profile at Middle Age.

Inge Verkouter, Raymond Noordam, Nellie Y Loh, Ko Willems van Dijk, Peter L Zock, Dennis O Mook-Kanamori, Saskia le Cessie, Frits R Rosendaal, Fredrik Karpe, Costantinos Christodoulides and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

11 authors at 4 institutions in 2 countries.

Inge VerkouterDepartment of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands.
Raymond NoordamDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.ORCID 0000-0001-7801-809X
Nellie Y LohRadcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK.
Ko Willems van DijkDepartment of Human Genetics, Leiden University Medical Center, 2300RC Leiden, the Netherlands.
Peter L ZockDepartment of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Dennis O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands.
Saskia le CessieDepartment of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands.ORCID 0000-0003-2154-4923
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands.
Fredrik KarpeRadcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK.
Costantinos ChristodoulidesRadcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands.
Leiden University Medical Center · NLUniversity of Oxford · GBNational Institute for Health Research · GBWageningen University & Research · NL

Funding

British Heart Foundation FS/16/45/32359British Heart Foundation RG/17/1/32663Department of Health
6 · The paper itself

Abstract

contextWeight gain during adulthood increases cardiometabolic disease risk, possibly through adipocyte hypertrophy.

objectiveWe aimed to study the specific metabolomic profile of adult weight gain, and to examine its association with adipocyte volume.

methodsNuclear magnetic resonance-based metabolomics were measured in the Netherlands Epidemiology of Obesity (NEO) study (n = 6347, discovery) and Oxford Biobank (n = 6317, replication). Adult weight gain was calculated as the absolute difference between body mass index (BMI) at middle age and recalled BMI at age 20 years. We performed linear regression analyses with both exposures BMI at age 20 years and weight gain, and separately with BMI at middle age in relation to 149 serum metabolomic measures, adjusted for age, sex, and multiple testing. Additionally, subcutaneous abdominal adipocyte biopsies were collected in a subset of the Oxford Biobank (n = 114) to estimate adipocyte volume.

resultsMean (SD) weight gain was 4.5 (3.7) kg/m2 in the NEO study and 3.6 (3.7) kg/m2 in the Oxford Biobank. Weight gain, and not BMI at age 20 nor middle age, was associated with concentrations of 7 metabolomic measures after successful replication, which included polyunsaturated fatty acids, small to medium low-density lipoproteins, and total intermediate-density lipoprotein. One SD weight gain was associated with 386 μm3 (95% CI, 143-629) higher median adipocyte volume. Adipocyte volume was associated with lipoprotein particles specific for adult weight gain.

conclusionAdult weight gain is associated with specific metabolomic alterations of which the higher lipoprotein concentrations were likely contributed by larger adipocyte volumes, presumably linking weight gain to cardiometabolic disease.

Indexed as

Abdominal FatAdipocytesAgingBiopsyBody Mass IndexCohort StudiesFemaleHumansLipoproteinsMaleMetabolomeMetabolomicsMiddle AgedNetherlandsObesityWeight GainLipoproteinsadipocyte volumebody mass indexcohort studymetabolic profilemetabolomicsweight gain

Identifiers

PMID34181708
PMCPMC8530710
OpenAlexW3173675160

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LicenceCC BY-NC-ND
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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.