| Literature DB >> 33755911 |
Kyle B Walsh1,2, Kip D Zimmerman3, Xiang Zhang4, Stacie L Demel5,6, Yu Luo7, Carl D Langefeld3, Eric Wohleb8,9, Grant Schulert10, Daniel Woo5,6, Opeolu Adeoye11.
Abstract
Intracerebral hemorrhage (ICH) is a severe neurological disorder with no proven treatment. Inflammation after ICH contributes to clinical outcomes, but the relevant molecular mechanisms remain poorly understood. In studies of peripheral leukocyte counts and mRNA-sequencing (mRNA-seq), our group previously reported that monocytes and Interleukin-8 (IL-8) were important contributors to post-ICH inflammation. microRNA (miRNA) are powerful regulators of gene expression and promising therapeutic targets. We now report findings from an integrated analysis of miRNA-seq and mRNA-seq in peripheral blood mononuclear cells (PBMCs) from a swine ICH model. In 10 pigs, one PBMC sample was collected immediately prior to ICH induction and a second 6 h later; miRNA-seq and mRNA-seq were completed for each sample. An aggregate score calculation determined which miRNA regulated the differentially expressed mRNA. Networks of molecular interactions were generated for the combined miRNA/target mRNA. A total of 227 miRNA were identified, and 46 were differentially expressed after ICH (FDR < 0.05). The anti-inflammatory miR-181a was decreased post-ICH, and it was the most highly connected miRNA in the miRNA/mRNA bioinformatic network analysis. miR-181a has interconnected pathophysiology with IL-8 and monocytes; in prior studies, we found that IL-8 and monocytes contributed to post-ICH inflammation and ICH clinical outcome, respectively. miR-181a was a significant mediator of post-ICH inflammation and is promising for further study, including as a potential therapeutic target. This investigation also demonstrated feasible methodology for miRNA-seq/mRNA-seq analysis in swine that is innovative, and with unique challenges, compared with transcriptomics research in more established species.Entities:
Keywords: Inflammation; Intracerebral hemorrhage; Preclinical models; RNA-seq; Stroke; Transcriptomics
Mesh:
Substances:
Year: 2021 PMID: 33755911 DOI: 10.1007/s12031-021-01815-9
Source DB: PubMed Journal: J Mol Neurosci ISSN: 0895-8696 Impact factor: 3.444