Evidence map›Paper›PMID 33723320›Full record

ArticleScientific reports2021

Aging selectively dampens oscillation of lipid abundance in white and brown adipose tissue.

Ntsiki M Held, M Renate Buijink, Hyung L Elfrink, Sander Kooijman, Georges E Janssens, Angela C M Luyf, Mia L Pras-Raves, Frédéric M Vaz, Stephan Michel, Riekelt H Houtkooper and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 32 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

11 authors at 3 institutions in 1 country.

Ntsiki M HeldLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
M Renate BuijinkDepartment of Cellular and Chemical Biology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
Hyung L ElfrinkLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Sander KooijmanDivision of Endocrinology, Department of Medicine, Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Georges E JanssensLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Angela C M LuyfBioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ, The Netherlands.
Mia L Pras-RavesLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Frédéric M VazLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Stephan MichelDepartment of Cellular and Chemical Biology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
Riekelt H HoutkooperLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands. r.h.houtkooper@amsterdamumc.nl.
Michel van WeeghelLaboratory Genetic Metabolic Diseases, Amsterdam UMC-AMC, University of Amsterdam, Amsterdam Gastroenterology and Metabolism, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands. m.vanweeghel@amsterdamumc.nl.
Amsterdam University Medical Centers · NLLeiden University Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid metabolism is under the control of the circadian system and circadian dysregulation has been linked to obesity and dyslipidemia. These factors and outcomes have also been associated to, or affected by, the process of aging. Here, we investigated whether murine white (WAT) and brown (BAT) adipose tissue lipids exhibit rhythmicity and if this is affected by aging. To this end, we have measured the 24 h lipid profiles of WAT and BAT using a global lipidomics analysis of > 1100 lipids. We observed rhythmicity in nearly all lipid classes including glycerolipids, glycerophospholipids, sterol lipids and sphingolipids. Overall, ~ 22% of the analyzed lipids were considered rhythmic in WAT and BAT. Despite a general accumulation of lipids upon aging the fraction of oscillating lipids decreased in both tissues to 14% and 18%, respectively. Diurnal profiles of lipids in BAT appeared to depend on the lipid acyl chain length and this specific regulation was lost in aged mice. Our study revealed how aging affects the rhythmicity of lipid metabolism and could contribute to the quest for targets that improve diurnal lipid homeostasis to maintain cardiometabolic health during aging.

Indexed as

Lipid MetabolismAdipose Tissue, BrownAdipose Tissue, WhiteAge FactorsAgingAnimalsBiomarkersChromatography, High Pressure LiquidComputational BiologyLipidomicsMaleMass SpectrometryMiceBiomarkers

Identifiers

PMID33723320
PMCPMC7961067
OpenAlexW3138370393

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.