Dataset Information

Subcutaneous adipose tissue transcriptome highlights specific expression profiles in pediatric severe obesity: a pilot study

ABSTRACT: Pediatric obesity prevalence is rapidly rising worldwide and “omic” approaches are helpful in obesity molecular pathophysiology investigation. This work aimed at the identification of transcriptional differences in subcutaneous adipose tissue (scAT) of children with overweight (OW), obesity (OB) or severe obesity (SV) respect those with normal weight (NW). Periumbilical scAT biopsies were collected from 20 male children aged 1-12 years. Considering BMI z-score, chil-dren were stratified into 4 groups: SV, OB, OW, NW. scAT RNA-Seq analyses were performed, differential expression analysis was achieved using the DESeq2 R package. Pathways analysis was performed to gain biological insights on gene expression. Our data highlight the significant deregulation in both coding and non-coding transcripts in the SV group when compared to NW, OW, and OB. KEGG pathway analysis showed involvement for coding transcripts mainly in li-pid metabolism. GSEA analysis revealed upregulation of lipid degradation and metabolism in SV vs OB and SV vs OW. Bioenergetic processes and the catabolism of branched-chain amino acids resulted upregulated in SV when compared to OB, OW, NW. In conclusion, we report for the first time that a significant transcriptional deregulation occurs in periumbilical scAT of children with severe obesity with respect to normal weight, overweight or mild obesity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE228892 | GEO | 2023/05/03

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background and aims: Youth populations with overweight/obesity (OW/OB) exhibit heterogeneity in cardiometabolic health phenotypes (e.g. fasting glucose, serum triglycerides, etc.). The underling mechanisms for those differences are still unclear. This study aimed to analyze the whole blood transcriptome profile (RNA-seq) of children with metabolic healthy overweight/obesity (MHO) and metabolic unhealthy overweight/obesity (MUO) phenotypes. Methods: 27 children with OW/OB (10.14 ± 1.3 years, 59% boys) from the ActiveBrains project were included. MHO was defined as having none of the following criteria for metabolic syndrome: elevated fasting glucose, high serum triglycerides, low high-density lipoprotein cholesterol, and high systolic or diastolic blood pressure, while MUO was defined as presenting one or more of these criteria. Inflammatory markers interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), epidermal growth factor (EGF) and, vascular endothelial growth factor A (VEGF) were additionally determined. Total-blood RNA was analyzed by 5’-end RNA sequencing. Two different bioinformatics approaches were performed: 1) Differential gene expression analyses using Limma R/Bioconductor software package (analyses adjusted by sex and maturational status) and 2) weighted gene coexpression network analyses (WGCNA). Results: Children with MHO had lower values of pro-inflammatory cytokines TNF-α and IL-6 compared to MUO (p < 0.05). 40 genes were differentially expressed (FDR < 0.05) in children with MHO compared to MUO. WGCNA analysis identified 23 gene coexpression modules (i.e. clusters of genes) with low preservation (Zsummary < 2) in children with MHO compared to MUO. Differential and WGCNA gene expression patterns identified 32 genes linked to metabolism, mitochondrial and immune functions. Conclusions: Whole blood transcriptome analysis revealed a distinct pattern of gene expression in children with MHO compared to MUO children. The identified gene expression patterns related to metabolism, mitochondrial and immune functions can promote a better understanding of cardiovascular disease prognosis in individuals with MHO.

Project description:Background - Prepregnancy overweight and obesity promote deleterious health impacts on both mothers during pregnancy and the offspring. Significant changes in the maternal peripheral blood mononuclear cells (PBMCs) gene expression due to obesity are well-known. However, during pregnancy the impact of overweight on immune cell gene expression and its association with maternal and infant outcomes is not well explored. Methods – Blood samples were collected from healthy normal weight (NW, BMI 18.5-24.9) or overweight (OW, BMI 25-29.9) 2nd parity pregnant women at 12, 24 and 36 weeks of pregnancy. PBMCs were isolated from the blood and subjected to mRNA sequencing. Maternal and infant microbiota were analyzed by 16S rRNA gene sequencing. Integrative multi-omics data analysis was performed to evaluate the association of gene expression with maternal diet, gut microbiota, milk composition, and infant gut microbiota. Results - Gene expression analysis revealed that 453 genes were differentially expressed in the OW women compared to NW women at 12 weeks of pregnancy, out of which 354 were upregulated and 99 were downregulated. Several up-regulated genes in the OW group were enriched in inflammatory, chemokine-mediated signaling and regulation of interleukin-8 production-related pathways. At 36 weeks of pregnancy healthy eating index score was positively associated with several genes that include, DTD1, ELOC, GALNT8, ITGA6-AS1, KRT17P2, NPW, POT1-AS1 and RPL26. In addition, at 36 weeks of pregnancy, genes involved in adipocyte functions, such as NG2 and SMTNL1, were negatively correlated to human milk 2’FL and total fucosylated oligosaccharides content collected at 1 month postnatally. Furthermore, infant Akkermansia was positively associated with maternal PBMC anti-inflammatory genes that include CPS1 and RAB7B, at 12 and 36 weeks of pregnancy. Conclusions – These findings suggest that prepregnancy overweight impacts the immune cell gene expression profile, particularly at 12 weeks of pregnancy. Further, deciphering the complex association of PBMC’s gene expression levels with maternal gut microbiome and milk composition and infant gut microbiome may aid in developing strategies to mitigate obesity-mediated effects.

Project description:The expression of adipogenic genes is decreased in obesity and diabetes mellitus ; Samuel T. Nadler*, Jonathan P. Stoehr*, Kathryn L. Schueler*, Gene Tanimoto, Brian S. Yandell, and Alan D. Attie*,Â§ ; Departments of * Biochemistry, and Statistics and Horticulture, University of Wisconsin, Madison, WI, 53706; and Affymetrix, Inc., Santa Clara, CA 95051 ; Communicated by Neal L. First, University of Wisconsin, Madison, WI, July 13, 2000 (received for review April 3, 2000) ; Obesity is strongly correlated with type 2 diabetes mellitus, a common disorder of glucose and lipid metabolism. Although adipocytes are critical in obesity, their role in diabetes has only recently been appreciated. We conducted studies by using DNA microarrays to identify differences in gene expression in adipose tissue from lean, obese, and obese-diabetic mice. The expression level of over 11,000 transcripts was analyzed, and 214 transcripts showed significant differences between lean and obese mice. Surprisingly, the expression of genes normally associated with adipocyte differentiation were down-regulated in obesity. Not all obese individuals will become diabetic; many remain normoglycemic despite profound obesity. Understanding the transition to obesity with concomitant diabetes will provide important clues to the pathogenesis of type 2 diabetes. Therefore, we examined the levels of gene expression in adipose tissue from five groups of obese mice with varying degrees of hyperglycemia, and we identified 88 genes whose expression strongly correlated with diabetes severity. This group included many genes that are known to be involved in signal transduction and energy metabolism as well as genes not previously examined in the context of diabetes. Our data show that a decrease in expression of genes normally involved in adipogenesis is associated with obesity, and we further identify genes important for subsequent development of type 2 diabetes mellitus. Experiment Overall Design: For obesity study, lean samples include C57BL/6J lean, (C57BL/6J X BTBR) F1 and BTBR lean, obese sampples incluse C57BL/6J-ob/ob, (C57BL/6J X BTBR) F2-ob/ob and BTBR-ob/ob. All samples are subjected to Mu11K A and B arrays. Experiment Overall Design: For diabetes study, B6-ob/ob, (C57BL/6J X BTBR) F2-ob/ob low glucose, (C57BL/6J X BTBR) F2-ob/ob medium glucose, (C57BL/6J X BTBR) F2-ob/ob high glucose, and BTBR-ob/ob samples were analyzed for genes whose expression levels changes correlated with the plasma glucose levels in these mice. All samples are subjected to Mu11K A and B arrays.

Dataset Information

Subcutaneous adipose tissue transcriptome highlights specific expression profiles in pediatric severe obesity: a pilot study

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets