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Gene pathway development in human epicardial adipose tissue during early life
Shalini Ojha, … , Michael E. Symonds, Helen Budge
Shalini Ojha, … , Michael E. Symonds, Helen Budge
Published August 18, 2016
Citation Information: JCI Insight. 2016;1(13):e87460. https://doi.org/10.1172/jci.insight.87460.
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Research Article Development

Gene pathway development in human epicardial adipose tissue during early life

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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.

Authors

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

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Figure 3

Comparison of gene expression analysis in epicardial adipose tissue (EAT) between age groups.

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Comparison of gene expression analysis in epicardial adipose tissue (EAT...
(A) Heat map and unsupervised hierarchical clustering dendrogram for the top 100 differentially expressed gene transcript comparisons identified on microarray analyses of EAT samples from neonates (blue, n = 11), infants (red, n = 28), and children (green, n = 11) (average linkage, Euclidean distance metric; eBayes moderated t statistics, q < 0.05). Gene expression was transformed to a Z score. Blue indicates an increase and red a decrease in gene expression by age. Principal component analysis (PCA) of EAT gene expression patterns for (B) 3 age groups and individual interactions between (C) neonatal and infant EAT samples and (D) neonatal and child EAT samples. Every participant is represented by a sphere, and the specific age group of each participant is indicated by color coding. The PCA was performed using probes (n = 2,454), with P < 0.05 (without FDR correction).

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