The immunoproteasome inhibitor ONX-0914 regulates inflammation and expression of contraction associated proteins in myometrium.
Stella LiongRatana LimCaitlyn Nguyen-NgoGillian BarkerHelena C ParkingtonMartha LappasPublished in: European journal of immunology (2018)
There are currently no effective treatments to prevent spontaneous preterm labor. The precise upstream biochemical pathways that regulate the transition between uterine quiescence during pregnancy and contractility during labor remain unclear. It is well known however that intrauterine inflammation, including infection, is commonly associated with preterm labor. In this study, we identified the immunoproteasome subunit low-molecular-mass protein (LMP)7 mRNA expression to be significantly upregulated in laboring human myometrium. Silencing LMP7 using siRNA-targeted knockdown of LMP7 and its inhibitor ONX-0914 in human myometrial cells and tissues decreased proinflammatory cytokines (IL-6), cell chemotaxis (CXCL8, CCL2 expression, and THP-1 migration), cell to cell adhesion (ICAM1 expression and myometrial adhesion), contraction-associated proteins (PTGS2, FP, PGE2, and PGF2α), as well as suppressing contractions in myometrial cells and in myometrial tissues obtained from laboring women. In addition, LMP7 silencing reduced NF-κB RelA activity. ONX-0914 alleviated inflammation (CCL3, CXCL1, PTGS2, and IL-6) in myometrium, placenta, fetal brain, amniotic fluid, and maternal serum induced by LPS in pregnant mice. Collectively, our data suggest a novel role for ONX-014 to suppress uterine activation and contractility associated with preterm labor.
Keyphrases
- epstein barr virus
- oxidative stress
- poor prognosis
- induced apoptosis
- endothelial cells
- cell adhesion
- smooth muscle
- preterm birth
- signaling pathway
- low birth weight
- binding protein
- cell cycle arrest
- gene expression
- gestational age
- single cell
- cell therapy
- cancer therapy
- induced pluripotent stem cells
- birth weight
- endoplasmic reticulum stress
- stem cells
- pregnancy outcomes
- diffuse large b cell lymphoma
- anti inflammatory
- type diabetes
- pi k akt
- long non coding rna
- electronic health record
- machine learning
- liver injury
- artificial intelligence
- staphylococcus aureus
- drug delivery
- metabolic syndrome
- cell proliferation
- mesenchymal stem cells
- small molecule
- deep learning
- weight gain
- subarachnoid hemorrhage
- physical activity
- insulin resistance
- blood brain barrier
- breast cancer risk