Evidence map›Paper›PMID 35490555›Full record

ReviewEBioMedicine2022

Transcriptome and fatty-acid signatures of adipocyte hypertrophy and its non-invasive MR-based characterization in human adipose tissue.

Julius Honecker, Stefan Ruschke, Claudine Seeliger, Samantha Laber, Sophie Strobel, Priska Pröll, Christoffer Nellaker, Cecilia M Lindgren, Ulrich Kulozik, Josef Ecker and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Early atherogenesis: In search of etiology.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Cancer-Associated Cachexia in the Era of Obesity.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Loss ofbioRxiv : the preprint server for biology · 2024
    Article
  20. Review
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

13 authors at 5 institutions in 3 countries.

Julius HoneckerElse Kröner-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Gregor-Mendel-Straße 2, 85354 Freising-Weihenstephan, Germany. Electronic address: julius.honecker@tum.de.
Stefan RuschkeDepartment of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
Claudine SeeligerElse Kröner-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Gregor-Mendel-Straße 2, 85354 Freising-Weihenstephan, Germany.
Samantha LaberBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Sophie StrobelBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Priska PröllFood- and Bioprocess Engineering, TUM School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, Germany.
Christoffer NellakerBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford, United Kingdom.
Cecilia M LindgrenBroad Institute of MIT and Harvard, Cambridge, MA, USA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, United Kingdom.
Ulrich KulozikFood- and Bioprocess Engineering, TUM School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, Germany.
Josef EckerZIEL - Institute for Food and Health, Research Group Lipid Metabolism, Technical University of Munich, Freising, Germany.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany; Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany.
Melina ClaussnitzerBroad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine and Endocrine Division, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Harvard University, Boston, MA, USA.
Hans HaunerElse Kröner-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Gregor-Mendel-Straße 2, 85354 Freising-Weihenstephan, Germany; Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, Munich 80992, Germany. Electronic address: hans.hauner@tum.de.
Broad Institute · USTechnical University of Munich · DEFresenius (Germany) · DEJohn Radcliffe Hospital · GBLeibniz-Institute for Food Systems Biology at the Technical University of Munich · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe adipocyte-hypertrophy associated remodeling of fat cell function is considered causal for the development of metabolic disorders. A better understanding of transcriptome and fatty acid (FA) related alterations with adipocyte hypertrophy combined with less-invasive strategies for the detection of the latter can help to increase the prognostic and diagnostic value of adipocyte size and FA composition as markers for metabolic disease.

methodsTo clarify adipocyte-hypertrophy associated transcriptomic alterations, fat cell size was related to RNA-Seq data from white adipose tissue and size-separated adipocytes. The relationship between adipocyte size and adipose tissue FA composition as measured by GC-MS was investigated. MR spectroscopy (MRS) methods for clinical scanning were developed to characterize adipocyte size and FA composition in a fast and non-invasive manner.

findingsWith enlarged adipocyte size, substantial transcriptomic alterations of genes involved in mitochondrial function and FA metabolism were observed. Investigations of these two mechanisms revealed a reciprocal relationship between adipocyte size and estimated thermogenic adipocyte content as well as depot-specific correlations of adipocyte size and FA composition. MRS on a clinical scanner was suitable for the in-parallel assessment of adipose morphology and FA composition.

interpretationThe current study provides a comprehensive overview of the adipocyte-hypertrophy associated transcriptomic and FA landscape in both subcutaneous and visceral adipose tissue. MRS represents a promising technique to translate the observed mechanistic, structural and functional changes in WAT with adipocyte hypertrophy into a clinical context for an improved phenotyping of WAT in the context of metabolic diseases.

fundingCompetence network for obesity (FKZ 42201GI1128), ERC (No 677661, ProFatMRI; No 875488, FatVirtualBiopsy), Else Kröner-Fresenius-Foundation.

Indexed as

Fatty AcidsTranscriptomeAdipocytesAdipose TissueHumansHypertrophyFatty AcidsBrowningFatty acidsMagnetic resonanceObesityTranscriptomicsWhite adipose tissue

Identifiers

PMID35490555
PMCPMC9062743
OpenAlexW4225302272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.