Novel Long Noncoding RNA, Macrophage Inflammation-Suppressing Transcript ( MIST ), Regulates Macrophage Activation During Obesity

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

Objective Systemic low-grade inflammation associated with obesity and metabolic syndrome is a strong risk factor for the development of diabetes mellitus and associated cardiovascular complications. This inflammatory state is caused by release of proinflammatory cytokines by macrophages, especially in adipose tissue. Long noncoding RNAs regulate macrophage activation and inflammatory gene networks, but their role in macrophage dysfunction during diet-induced obesity has been largely unexplored. Approach and Results: We sequenced total RNA from peritoneal macrophages isolated from mice fed either high-fat diet or standard diet and performed de novo transcriptome assembly to identify novel differentially expressed mRNAs and long noncoding RNAs. A top candidate long noncoding RNA, macrophage inflammation-suppressing transcript ( Mist ), was downregulated in both peritoneal macrophages and adipose tissue macrophages from high-fat diet-fed mice. GapmeR-mediated Mist knockdown in vitro and in vivo upregulated expression of genes associated with immune response and inflammation and increased modified LDL (low-density lipoprotein) uptake in macrophages. Conversely, Mist overexpression decreased basal and LPS (lipopolysaccharide)-induced expression of inflammatory response genes and decreased modified LDL uptake. RNA-pull down coupled with mass spectrometry showed that Mist interacts wi

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

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