Mechanisms of the Innate Defense Regulator Peptide-1002 Anti-Inflammatory Activity in a Sterile Inflammation Mouse Model.
Bing Catherine WuAmy Huei-Yi LeeRobert E W HancockPublished in: Journal of immunology (Baltimore, Md. : 1950) (2017)
Innate defense regulator (IDR) peptide-1002 is a synthetic host defense peptide derivative with strong anti-inflammatory properties. Extending previous data, IDR-1002 suppressed in vitro inflammatory responses in RAW 264.7 murine monocyte/macrophage cells challenged with the TLR4 agonist LPS and TLR2 agonists lipoteichoic acid and zymosan. To investigate the anti-inflammatory mechanisms of IDR-1002 in vivo, the PMA-induced mouse ear inflammation model was used. Topical IDR-1002 treatment successfully dampened PMA-induced ear edema, proinflammatory cytokine production, reactive oxygen and nitrogen species release, and neutrophil recruitment in the ears of CD1 mice. Advanced RNA transcriptomic analysis on the mouse ear transcriptome revealed that IDR-1002 reduced sterile inflammation by suppressing the expression of transmembrane G protein-coupled receptors (class A/1 rhodopsin-like), including receptors for chemokines, PGs, histamine, platelet activating factor, and anaphylatoxin. IDR-1002 also dampened the IFN-γ response and repressed the IFN regulatory factor 8-regulated network that controls central inflammatory pathways. This study demonstrates that IDR-1002 exhibits strong in vitro and in vivo anti-inflammatory activities, informs the underlying anti-inflammatory mechanisms, and reveals its potential as a novel therapeutic for inflammatory diseases.
Keyphrases
- anti inflammatory
- immune response
- oxidative stress
- diabetic rats
- dendritic cells
- transcription factor
- induced apoptosis
- inflammatory response
- high glucose
- mouse model
- toll like receptor
- poor prognosis
- single cell
- signaling pathway
- gene expression
- endothelial cells
- adipose tissue
- innate immune
- type diabetes
- drug induced
- machine learning
- rna seq
- skeletal muscle
- endoplasmic reticulum stress
- metabolic syndrome
- deep learning
- dna methylation
- big data
- nucleic acid
- replacement therapy
- genetic diversity