Evidence map›Paper›PMID 28439093›Full record

ArticleInternational journal of obesity (2005)2017

Gene expression profile of subcutaneous adipose tissue in BMI-discordant monozygotic twin pairs unravels molecular and clinical changes associated with sub-types of obesity.

M Muniandy, S Heinonen, H Yki-Järvinen, A Hakkarainen, J Lundbom, N Lundbom, J Kaprio, A Rissanen, M Ollikainen, K H Pietiläinen

Open access · bronzeAbstract readComparative StudyTwin Study
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Review
  3. White adipose tissue mitochondrial bioenergetics in metabolic diseases.Reviews in endocrine & metabolic disorders · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. New Mechanisms of Vascular Dysfunction in Cardiometabolic Patients: Focus on Epigenetics.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020
    Review
  11. Article
  12. Review
  13. 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

10 authors at 1 institution in 2 countries.

M MuniandyInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
S HeinonenObesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
H Yki-JärvinenMinerva Foundation Institute for Medical Research, Helsinki, Finland.
A HakkarainenHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
J LundbomHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
N LundbomHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
J KaprioInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455
A RissanenObesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
M OllikainenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3661-7400
K H PietiläinenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubcutaneous adipose tissue (SAT) undergoes major changes in obesity, but little is known about the whole-genome scale patterns of these changes or about their variation between different obesity sub-groups. We sought to compare how transcriptomics profiles in SAT differ between monozygotic (MZ) co-twins who are discordant for body mass index (BMI), whether the profiles vary between twin pairs and whether the variation can be linked to clinical characteristics.

methodsWe analysed the transcriptomics (Affymetrix U133 Plus 2.0) patterns of SAT in young MZ twin pairs (n=26, intra-pair difference in BMI >3 kg m

resultsWe found 2108 genes differentially expressed (false discovery rate (FDR)<0.05) in SAT of the BMI-discordant pairs. Pathway analyses of these genes revealed a significant downregulation of mitochondrial oxidative pathways (P<0.05) and upregulation of inflammation pathways (P<0.05). Hierarchical clustering of heavy/lean twin ratios, representing effects of acquired obesity in the transcriptomics data, revealed three sub-groups with different molecular profiles (FDR<0.05). Analyses comparing these sub-groups showed that, in the heavy co-twins, downregulation of the mitochondrial pathways, especially that of branched chain amino acid degradation was more evident in two clusters while and upregulation of the inflammatory response was most evident in the last, presumably the unhealthiest cluster. High-fasting insulin levels and large adipocyte diameter were the predominant clinical characteristic of the heavy co-twins in this cluster (Bonferroni-adjusted P<0.05).

conclusionsThis is the first study in BMI-discordant MZ twin pairs reporting sub-types of obesity based on both SAT gene expression profiles and clinical traits. We conclude that a decrease in mitochondrial BCAA degradation and an increase in inflammation in SAT co-occur and associate with hyperinsulinemia and large adipocyte size in unhealthy obesity.

Indexed as

Body Mass IndexGene Expression ProfilingTwins, MonozygoticAdipocytesAdultAnalysis of VarianceBody CompositionCluster AnalysisFemaleFinlandGene-Environment InteractionHumansInsulin ResistanceLipidsMaleObesityLipids

Identifiers

PMID28439093
OpenAlexW2608981870

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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.