Transcriptome analysis of the adipose tissue in a mouse model of metabolic syndrome identifies gene signatures related to disease pathogenesis
| Autor: | Giorgos Papagiannakis, Katerina Dalakoura-Karagkouni, Ariadni Papadaki, Dimitris Kardassis, Despoina Vassou, Dimitris Nasias |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Chemokine Adipose Tissue White Apolipoprotein E3 Adipose tissue Mice Transgenic Inflammation White adipose tissue Diet High-Fat 01 natural sciences Transcriptome Extracellular matrix 03 medical and health sciences Immune system Genetics medicine Animals Oligonucleotide Array Sequence Analysis 030304 developmental biology Metabolic Syndrome 0303 health sciences biology Gene Expression Profiling medicine.disease Cholesterol Ester Transfer Proteins Cell biology Disease Models Animal Liver biology.protein medicine.symptom Metabolic syndrome Algorithms Metabolic Networks and Pathways Signal Transduction 010606 plant biology & botany |
| Zdroj: | Genomics. 112:4053-4062 |
| ISSN: | 0888-7543 |
| DOI: | 10.1016/j.ygeno.2020.06.053 |
| Popis: | The white adipose tissue (WAT) contributes to the metabolic imbalance observed in obesity and the metabolic syndrome (MetS) by mechanisms that are poorly understood. The aim of this study was to monitor changes in the transcriptome of epididymal WAT during the development of MetS. ApoE3L.CETP mice were fed a high fat (HFD) or a low-fat (LFD) diet for different time periods. Adipose RNA was analyzed by microarrays. We found an increasing number of differentially expressed transcripts during MetS development. In mice with MetS, 1396 transcripts were differentially expressed including transcripts related to immune/inflammatory responses and extracellular matrix enzymes, suggesting significant inflammation and tissue remodeling. The top list of pathways included focal adhesion, chemokine, B and T cell receptor and MAPK signaling. The data identify for the first time adipose gene signatures in apoE3L.CETP mice with diet-induced MetS and might open new avenues for investigation of potential biomarkers or therapeutic targets. |
| Databáze: | OpenAIRE |
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