As the main constituent cells of the human placenta, trophoblasts proliferate, differentiate, and invade the uterine endometrium via a series of processes, which are regulated exquisitely through intercellular signaling mediated by hormones, cytokines, and growth factors. Programmed cell death ligand 1 (PD-L1) is a biomarker of the response to immune checkpoint inhibitors and can regulate maternal-fetal immune tolerance during pregnancy progression. Recently, it was found that PD-L1 may regulate obstetric complications by affecting the function of trophoblasts. Therefore, we examined the expression and localization of PD-L1 in the human placenta and observed the effects of PD-L1 on trophoblasts migration and invasion in both the trophoblasts line HTR-8/SVneo and an extravillous explant culture model. Finally, we explored the molecular mechanisms underlying PD-L1-regulated trophoblasts migration and invasion through RNA sequencing and bioinformatics analysis. Our data showed that PD-L1 was mainly expressed in syncytiotrophoblasts and that its protein levels increased with gestational age. Interestingly, the protein expression of PD-L1 was significantly decreased in placentas from pregnancies with preeclampsia compared with normal placentas. Importantly, the migration and invasion abilities of trophoblasts were significantly changed after knockdown or overexpression of PD-L1 in HTR-8/SVneo cells and an extravillous explant culture model, which was partially mediated through the transcription factor PU.1 (encoded by Spi1)-regulated Rho GDP-dissociation inhibitor beta (ARHGDIB) expression. These results suggested that PD-L1 was highly involved in the regulation of trophoblasts migration and invasion, providing a potential target for the diagnosis and treatment of placenta-derived pregnancy disorders.
Keyphrases
- transcription factor
- gestational age
- induced apoptosis
- preterm birth
- endothelial cells
- birth weight
- poor prognosis
- pregnancy outcomes
- cell cycle arrest
- binding protein
- oxidative stress
- single cell
- climate change
- risk factors
- endoplasmic reticulum stress
- signaling pathway
- deep learning
- body mass index
- single molecule
- genome wide identification
- protein protein
- smooth muscle
- data analysis