Extracellular vesicles from preeclampsia disrupt the blood-brain barrier via reduced claudin-5: potential role of vascular endothelial growth factor
Sandoval, H.; Ibanez, B.; Contreras, M.; Troncoso, F.; Castro, F. O.; Caamano, D.; Mendez, L.; Escudero-Guevara, E. A.; Mistry, H. D.; Kurlak, L. O.; Vatish, M.; Acurio, J.; Escudero, C.
Show abstract
BackgroundPhysiopathology of life-treating cerebrovascular complications in preeclampsia are yet unknown. We investigated whether disruption of the blood-brain barrier (BBB), generated using circulating small extracellular vesicles (sEVs) from women with preeclampsia or placentae cultured under hypoxic conditions, impairs the expression of tight junction proteins, such as claudin 5 (CLDN5), mediated by VEGF and activation of VEGF receptor 2 (KDR). MethodssEVs were isolated from plasma (normal pregnancy, sEVs-NP, n=9); preeclampsia, sEVs-PE, n=9) or placental explants from normotensive pregnancies, cultured in normoxia (sEVs-Nor, n=10) or hypoxia (sEVs-Hyp, n=10). The integrity of the BBB was evaluated using in vitro (human and mice brain endothelial cell lines) and in vivo (non-pregnant C57BL/6 mice (4 to 5 months old, (n=10) were injected with sEVs-Hyp), models. ResultssEVs-PE and sEVs-Hyp reduced CLND5 levels (p<0.05) in the endothelial cell membrane without affecting other tight junction proteins. These results were negated with sEVs-PE sonication. sEVs-Hyp injected into non-pregnant mice generated neurological deficits and BBB disruption, specifically in the posterior area of the brain, associated with reduction in CLND5 levels in the brain cortex. Furthermore, sEVs-PE and sEVs-sHyp had higher VEGF levels than sEVs-NP and sEVs-Nor, respectively. Human brain endothelial cells exposed to sEVs-PE or sEVs-sHyp exhibited a reduction in the activation of KDR. ConclusionsEVs from hypoxic placentae and plasma from women with preeclampsia disrupt the BBB, via reduction of CLDN5, a phenomenon that may involve VEGF contained within these vesicles. These findings will improve the elucidation of cerebrovascular alterations in women with preeclampsia.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Polarized α-synuclein trafficking and transcytosis across Brain Endothelial Cells via Rab7-decorated carriers 93%
- Human iPSC-derived pericyte-like cells carrying APP Swedish mutation overproduce beta-amyloid and induce cerebral amyloid angiopathy-like changes 93%
- Nuclear receptor ligand screening in an iPSC-derived in vitro blood-brain barrier model identifies new contributors to leptin transport 92%
Similar papers in this journal
- Establishing And Maintaining The Blood-Brain Barrier: Epigenetic And Signaling Determinants. 94%
- ACVR2A Facilitates Trophoblast Cell Invasion through TCF7/c-JUN Pathway in Pre-eclampsia Progression 94%
- Neurons enhance blood-brain barrier function via upregulating claudin-5 and VE-cadherin expression due to GDNF secretion 93%
Similar papers in this journal
Similar papers in this journal
- Distinct lipid profile, low-level inflammation and increased antioxidant defense as a signature in HIV-1 elite control status 92%
- Matrix Metalloproteinase-9 Mediates Endothelial Glycocalyx Degradation and Correlates with Severity of Hemorrhagic Fever with Renal Syndrome 92%
- Minimal mRNA uptake and inflammatory response to COVID-19 mRNA vaccine exposure in human placental explants 92%
Similar papers in this journal
- Metabolic rescue ameliorates mitochondrial encephalo-cardiomyopathy in murine and human iPSC models of Leigh syndrome 90%
- Effect of polymerized type I collagen in hyperinflammation of adult outpatients with symptomatic COVID-19: a double blind, randomised, placebo-controlled clinical trial 90%
- Immunomodulation by intravenous omega-3 fatty acid treatment in older subjects hospitalized for COVID-19: a single-blind randomized controlled trial 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.