Extracellular RNA Profile in Mesenteric Lymph from Exemplar Rat Models of Acute and Critical Illness.

LYMPHATIC RESEARCH AND BIOLOGY(2019)

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摘要
Background: Mesenteric lymph (ML) has been implicated in the development of multiple organ dysfunction syndrome in critical illness. Extracellular RNAs play a role in cell-to-cell communication during physiological and disease processes but they are rarely studied in ML. We aimed at examining the RNA profiles of peripheral plasma, ML, and ML's extracellular vesicle (ML-EV) and triglyceride-rich lipoprotein (ML-TRL) fractions, obtained from rodent models of critical illness. Methods and Results: We collected ML for 5 hours from rodent models of critical illness [Acute Pancreatitis, Cecal Ligation and Incision (CLI), Gut Ischemia-Reperfusion (IR)] and matching Sham control rats. ML-EV and ML-TRL fractions were also isolated. RNA sequencing was performed on the RNA extracted from ML, ML-EV, ML-TRL, and plasma by using the Ion Torrent Personal Genome Machine platform. RNA sequences were searched using the Basic Local Alignment Search Tool against rat genome and RefSeq, microRNA (miRNA), genomic tRNA, functional RNA, and Genbank nucleotide databases, and the read counts were analyzed. Each sample type had a distinct RNA profile. ML contained more RNA per volume and a larger proportion of tRNA fragments than plasma. ML-EVs were enriched with miRNA, whereas ML-TRLs contained low absolute amounts of RNA. The RNA size profiles for CLI and Gut IR were different from Sham. ML carried intestinal RNAs and in a CLI model it was significantly enriched with bacterial RNA sequences. Conclusions: We found the distinct but diverse RNA profiles of ML and its compartments, and their different profiles in critical illness. Intestinal-derived small RNAs in ML may have a direct role in critical illness and utility as potential biomarkers.
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关键词
extracellular RNA,mesenteric lymph,critical illness,cecal ligation and incision,pancreatitis,gut ischemia,extracellular vesicle,triglyceride-rich lipoprotein
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