Tissue-specific RNA-Seq in human evoked inflammation identifies blood and adipose LincRNA signatures of cardiometabolic diseases.
Arterioscler Thromb Vasc Biol
; 34(4): 902-12, 2014 Apr.
Article
in En
| MEDLINE
| ID: mdl-24504737
OBJECTIVE: Inappropriate transcriptional activation of innate immunity is a pathological feature of several cardiometabolic disorders, but little is known about inflammatory modulation of long intergenic noncoding RNAs (lincRNAs) in disease-relevant human tissues. APPROACH AND RESULTS: We applied deep RNA sequencing (>500 million filtered reads per sample) to blood and adipose during low-dose experimental endotoxemia (lipopolysaccharide) in a healthy human, with targeted replication in separate individuals undergoing endotoxemia (n=6), to identify inflammatory lincRNAs. A subset of these lincRNAs was examined for expression in adipocytes and monocytes, modulation in adipose of obese humans, and overlap with genome-wide association study signals for inflammatory and cardiometabolic traits. Of a stringent set of 4284 lincRNAs, ≈11% to 22% were expressed with 201 and 56 lincRNAs modulated by lipopolysaccharide in blood or adipose, respectively. Tissue-specific expression of a subset of 6 lipopolysaccharide-lincRNAs was replicated with lipopolysaccharide modulation confirmed for all 3 expressed in blood and 2 of 4 expressed in adipose. The broader generalizability of findings in blood of subject A was confirmed by RNA sequencing in 7 additional subjects. We confirmed adipocytes and monocytes as potential cell-sources of selective lipopolysaccharide-regulated lincRNAs, and 2 of these, linc-DMRT2 (P=0.002) and linc-TP53I13 (P=0.01), were suppressed in adipose of obese humans. Finally, we provide examples of lipopolysaccharide-modulated lincRNAs that overlap single nucleotide polymorphisms that are associated with cardiometabolic traits. CONCLUSIONS: Our findings provide novel insights into tissue-level, inflammatory transcriptome regulation in cardiometabolic diseases. These are complementary to more usual approaches limited to interrogation of DNA variations.
Key words
Full text:
1
Database:
MEDLINE
Main subject:
Sequence Analysis, RNA
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Endotoxemia
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Gene Expression Profiling
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Metabolic Syndrome
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Subcutaneous Fat
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High-Throughput Nucleotide Sequencing
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RNA, Long Noncoding
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Inflammation
Type of study:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limits:
Adult
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Female
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Humans
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Male
Language:
En
Journal:
Arterioscler Thromb Vasc Biol
Journal subject:
ANGIOLOGIA
Year:
2014
Type:
Article