Evidence map›Paper›PMID 27699231›Full record

ArticleJCI insight2016

Gene pathway development in human epicardial adipose tissue during early life.

Shalini Ojha, Hernan P Fainberg, Victoria Wilson, Giuseppe Pelella, Marcos Castellanos, Sean T May, Attilio A Lotto, Harold Sacks, Michael E Symonds, Helen Budge

Abstract read
In one paragraph

Article in JCI insight, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. The Implications of Aging on Vascular Health.International journal of molecular sciences · 2024
    Review
  2. Article
  3. Central Obesity is Associated with Increased Left Ventricular Maximal Wall Thickness and Intrathoracic Adipose Tissue Measured with Cardiac Magnetic Resonance.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

10 authors.

Shalini OjhaDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, Queen's Medical Centre, University Hospital, The University of Nottingham, Nottingham, United Kingdom.
Hernan P FainbergDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, Queen's Medical Centre, University Hospital, The University of Nottingham, Nottingham, United Kingdom.
Victoria WilsonDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, Queen's Medical Centre, University Hospital, The University of Nottingham, Nottingham, United Kingdom.
Giuseppe PelellaUniversity Hospitals Leicester NHS Trust, Leicester, United Kingdom.
Marcos CastellanosNottingham Arabidopsis Stock Centre, School of Biosciences, The University of Nottingham, Nottingham, United Kingdom.
Sean T MayNottingham Arabidopsis Stock Centre, School of Biosciences, The University of Nottingham, Nottingham, United Kingdom.
Attilio A LottoUniversity Hospitals Leicester NHS Trust, Leicester, United Kingdom.
Harold SacksVA Endocrinology and Diabetes Division, VA Greater Los Angeles Healthcare System, and Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
Michael E SymondsDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, Queen's Medical Centre, University Hospital, The University of Nottingham, Nottingham, United Kingdom.
Helen BudgeDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, Queen's Medical Centre, University Hospital, The University of Nottingham, Nottingham, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/E01772X/1Biotechnology and Biological Sciences Research Council BB/E022758/1Biotechnology and Biological Sciences Research Council BB/I001271/1Biotechnology and Biological Sciences Research Council BBS/B/1356XBiotechnology and Biological Sciences Research Council G17764Biotechnology and Biological Sciences Research Council G18881
6 · The paper itself

Abstract

Studies in rodents and newborn humans demonstrate the influence of brown adipose tissue (BAT) in temperature control and energy balance and a critical role in the regulation of body weight. Here, we obtained samples of epicardial adipose tissue (EAT) from neonates, infants, and children in order to evaluate changes in their transcriptional landscape by applying a systems biology approach. Surprisingly, these analyses revealed that the transition to infancy is a critical stage for changes in the morphology of EAT and is reflected in unique gene expression patterns of a substantial proportion of thermogenic gene transcripts (~10%). Our results also indicated that the pattern of gene expression represents a distinct developmental stage, even after the rebound in abundance of thermogenic genes in later childhood. Using weighted gene coexpression network analyses, we found precise anthropometric-specific correlations with changes in gene expression and the decline of thermogenic capacity within EAT. In addition, these results indicate a sequential order of transcriptional events affecting cellular pathways, which could potentially explain the variation in the amount, or activity, of BAT in adulthood. Together, these results provide a resource to elucidate gene regulatory mechanisms underlying the progressive development of BAT during early life.

Indexed as

Gene Expression Regulation, DevelopmentalOrganogenesisThermogenesisAdipose Tissue, BrownChildChild, PreschoolEnergy MetabolismFemaleHumansInfantInfant, NewbornMalePericardium

Identifiers

PMID27699231
PMCPMC5033935

What OpenQuestion holds

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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.