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Suppression of Endothelial AGO1 Promotes Adipose Tissue Browning and Improves Metabolic Dysfunction.

Circulation · 2020 · Vol. 142 (4) · pp. 365-379

Abstract

Metabolic disorders such as obesity and diabetes mellitus can cause dysfunction of endothelial cells (ECs) and vascular rarefaction in adipose tissues. However, the modulatory role of ECs in adipose tissue function is not fully understood. Other than vascular endothelial growth factor-vascular endothelial growth factor receptor-mediated angiogenic signaling, little is known about the EC-derived signals in adipose tissue regulation. We previously identified Argonaute 1 (AGO1; a key component of microRNA-induced silencing complex) as a crucial regulator in hypoxia-induced angiogenesis. In this study, we intend to determine the AGO1-mediated EC transcriptome, the functional importance of AGO1-regulated endothelial function in vivo, and the relevance to adipose tissue function and obesity. We generated and subjected mice with EC-AGO1 deletion (EC-AGO1-knockout [KO]) and their wild-type littermates to a fast food-mimicking, high-fat high-sucrose diet and profiled the metabolic phenotypes. We used crosslinking immunoprecipitation- and RNA-sequencing to identify the AGO1-mediated mechanisms underlying the observed metabolic phenotype of EC-AGO1-KO. We further leveraged cell cultures and mouse models to validate the functional importance of the identified molecular pathway, for which the translational relevance was explored using human endothelium isolated from healthy donors and donors with obesity/type 2 diabetes mellitus. We identified an antiobesity phenotype of EC-AGO1-KO, evident by lower body weight and body fat, improved insulin sensitivity, and enhanced energy expenditure. At the organ level, we observed the most significant phenotype in the subcutaneous and brown adipose tissues of KO mice, with greater vascularity and enhanced browning and thermogenesis. Mechanistically, EC-AGO1 suppression results in inhibition of thrombospondin-1 (<i>THBS1</i>/TSP1), an antiangiogenic and proinflammatory cytokine that promotes insulin resistance. In EC-AGO1-KO mice, overexpression of TSP1 substantially attenuated the beneficial phenotype. In human endothelium isolated from donors with obesity or type 2 diabetes mellitus, AGO1 and THBS1 are expressed at higher levels than the healthy controls, supporting a pathological role of this pathway. Our study suggests a novel mechanism by which ECs, through the AGO1-TSP1 pathway, control vascularization and function of adipose tissues, insulin sensitivity, and whole-body metabolic state.

Publication Types

["Journal Article", "Research Support, N.I.H., Extramural", "Research Support, Non-U.S. Gov't"]

Keywords

MeSH Terms

["Adipose Tissue, Brown", "Adult", "Animals", "Argonaute Proteins", "Diet, High-Fat", "Disease Models, Animal", "Disease Susceptibility", "Endothelium", "Energy Metabolism", "Eukaryotic Initiation Factors", "Female", "Gene Expression Profiling", "Gene Targeting", "Genetic Loci", "Humans", "Insulin Resistance", "Male", "Metabolic Diseases", "Mice", "Mice, Knockout", "Middle Aged", "Models, Biological", "Obesity", "Phenotype"]

Funding

U24 HG009889 NHGRI NIH HHS (United States)
R01 HG004659 NHGRI NIH HHS (United States)
U41 HG009889 NHGRI NIH HHS (United States)
U54 HG007005 NHGRI NIH HHS (United States)
R01 HL145170 NHLBI NIH HHS (United States)
R01 DK081705 NIDDK NIH HHS (United States)
P30 CA033572 NCI NIH HHS (United States)
R00 HL122368 NHLBI NIH HHS (United States)
DP1 HD087990 NICHD NIH HHS (United States)
K99 HL122368 NHLBI NIH HHS (United States)

Linked Datasets (5)

GSE136907 GSE via ncbi_elink
GEO

Individual nucleotide resolution Crosslinking Immunoprecipitation (iCLIP)-seq

Homo sapiens
8 data files
FileTypeSize
ZNH_NoIndex_L008_R1.R09_AGO1_normoxia_LowRNAse_H.fastq.gz RIP-Seq 3.5 GB
ZNH_NoIndex_L008_R1.R10_AGO1_normoxia_HighRNAse_H.fastq.gz RIP-Seq 1.9 GB
ZNH_NoIndex_L008_R1.R11_AGO1_hypoxia_LowRNAse_H.fastq.gz RIP-Seq 804.4 MB
ZNH_NoIndex_L008_R1.R12_AGO1_hypoxia_HighRNase_H.fastq.gz RIP-Seq 310.5 MB
ZNL_NoIndex_L007_R1.R09_AGO1_normoxia_LowRNAse_L.fastq.gz RIP-Seq 2.4 GB
ZNL_NoIndex_L007_R1.R10_AGO1_normoxia_HighRNAse_L.fastq.gz RIP-Seq 1.1 GB
ZNL_NoIndex_L007_R1.R11_AGO1_hypoxia_LowRNAse_L.fastq.gz RIP-Seq 378.5 MB
ZNL_NoIndex_L007_R1.R12_AGO1_hypoxia_HighRNase_L.fastq.gz RIP-Seq 1.9 GB
GSE136908 GSE via ncbi_elink
GEO

RNA Seq of HMVEC under hypoxia

Homo sapiens
8 data files
FileTypeSize
JK_A1_R1_merged.fastq.gz RNA-Seq 957.3 MB
JK_A2_R1_merged.fastq.gz RNA-Seq 1.0 GB
JK_A3_R1_merged.fastq.gz RNA-Seq 1.1 GB
JK_A4_R1_merged.fastq.gz RNA-Seq 1.2 GB
JK_N1_R1_merged.fastq.gz RNA-Seq 1.1 GB
JK_N2_R1_merged.fastq.gz RNA-Seq 995.2 MB
JK_N3_R1_merged.fastq.gz RNA-Seq 1.2 GB
JK_N4_R1_merged.fastq.gz RNA-Seq 1.1 GB
GSE136912 GSE via ncbi_elink
GEO

Endothelial-AGO1-knockout (EC-AGO1-KO) mice and wild-type (WT) littermates

Mus musculus
GSE136910 GSE via ncbi_elink
GEO

RNA Seq of Subcutaneous adipose tissue from endothelial-AGO1-knockout (EC-AGO1-KO) mice and wild-type (WT) littermates

Mus musculus
10 data files
FileTypeSize
AGO_1_Hete_SAT_S21_R1_001.fastq.gz RNA-Seq 5.8 GB
AGO_1_Homo_SAT_S19_R1_001.fastq.gz RNA-Seq 4.8 GB
AGO_2_Hete_SAT_S24_R1_001.fastq.gz RNA-Seq 5.6 GB
AGO_2_Homo_SAT_S25_R1_001.fastq.gz RNA-Seq 5.2 GB
AGO_3_Hete_SAT_S27_R1_001.fastq.gz RNA-Seq 4.7 GB
AGO_3_Homo_SAT_S22_R1_001.fastq.gz RNA-Seq 5.3 GB
SRR10071346 RNA-Seq 4.7 GB
WT_1_SAT_S26_R1_001.fastq.gz RNA-Seq 5.0 GB
WT_2_SAT_S23_R1_001.fastq.gz RNA-Seq 5.4 GB
WT_3_SAT_S20_R1_001.fastq.gz RNA-Seq 6.0 GB
GSE136911 GSE via ncbi_elink
GEO

small RNA Seq of Subcutaneous adipose tissue from endothelial-AGO1-knockout (EC-AGO1-KO) mice and wild-type (WT) littermates fed 16 week of high fat high sucrose diet

Mus musculus
9 data files
FileTypeSize
AGO_1_Hete_SAT_S54_R1_001.fastq.gz miRNA-Seq 851.9 MB
AGO_1_Homo_SAT_S59_R1_001.fastq.gz miRNA-Seq 591.8 MB
AGO_2_Hete_SAT_S56_R1_001.fastq.gz miRNA-Seq 356.6 MB
AGO_2_Homo_SAT_S57_R1_001.fastq.gz miRNA-Seq 508.8 MB
AGO_3_Hete_SAT_S55_R1_001.fastq.gz miRNA-Seq 638.7 MB
AGO_3_Homo_SAT_S58_R1_001.fastq.gz miRNA-Seq 723.1 MB
WT_1_SAT_S52_R1_001.fastq.gz miRNA-Seq 552.5 MB
WT_2_SAT_S51_R1_001.fastq.gz miRNA-Seq 458.5 MB
WT_3_SAT_S74_R1_001.fastq.gz miRNA-Seq 626.0 MB

Analysis Pipelines (5)

iCLIP geo_data_processing GSE136907
geo_data_processing GSE136908
geo_data_processing GSE136910
geo_data_processing GSE136911
geo_data_processing GSE136912