Reactive astrocytes transduce blood-brain barrier dysfunction through a TNFα-STAT3 signaling axis and secretion of alpha 1-antichymotrypsin
Kim, H.; Leng, K.; Park, J.; Sorets, A.; Kim, S.; Shostak, A.; Sturgeon, S.; Neal, E.; McMahon, D. G.; Schrag, M.; Kampmann, M.; Lippmann, E.
Show abstract
Astrocytes are critical components of the neurovascular unit that support blood-brain barrier (BBB) function in brain microvascular endothelial cells (BMECs). Transformation of astrocytes to a reactive state in response to injury and disease can be protective or harmful to BBB function, but the underlying mechanisms for these effects remain mostly unclear. Using a human induced pluripotent stem cell (iPSC)-derived coculture model of BMEC-like cells and astrocytes, we found that tumor necrosis factor alpha (TNF) transitions astrocytes to an inflammatory reactive state through activated STAT3 signaling, whereby the resultant astrocytes disrupt passive BBB function and induce vascular cell adhesion molecule 1 (VCAM-1) expression in the BMEC-like cells. These associations between inflammatory reactive astrocytes, STAT3 activation, and vascular VCAM-1 expression were corroborated in human postmortem tissue. Bioinformatic analyses coupled with CRISPR interference techniques in the iPSC model revealed that inflammatory reactive astrocytes transduce BBB disruption in part through SERPINA3, which encodes alpha 1-antichymotrypsin (1ACT), a secreted serine protease inhibitor associated with aging, neuroinflammation, and Alzheimers disease. In murine ex vivo cortical explant cultures, shRNA-mediated silencing of Serpina3n in astrocytes reduced vascular VCAM-1 expression after TNF challenge. Further, direct treatment with recombinant Serpina3n in both ex vivo explant cultures and the brain in vivo (via intracerebroventricular injection into wild-type mice) was sufficient to induce vascular VCAM-1 expression and reduce tight junction integrity. Overall, our results define the TNF-STAT3 signaling axis as a driver of an inflammatory reactive astrocyte subtype responsible for BBB dysfunction. Our results also identify 1ACT as an explicit mediator of BBB damage and suggest that inhibition of 1ACT expression or activity could represent a therapeutic avenue for reversing BBB deficits in aging and neurodegenerative disease.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Lesion environments direct transplanted neural progenitors towards a wound repair astroglial phenotype 97%
- Pericyte-derived fibrotic scarring is conserved across diverse central nervous system lesions 96%
- Xenotransplantation of Human PSC-derived Microglia Creates a Chimeric Mouse Brain Model that Recapitulates Features of Adult Human Microglia 96%
Similar papers in this journal
- Triglyceride metabolism controls inflammation and APOE4-associated disease states in microglia 96%
- ciRS-7 and miR7 regulate ischemia induced neuronal death via glutamatergic signaling 96%
- Jedi-1/MEGF12-mediated phagocytosis controls the pro-neurogenic properties of microglia in the ventricular-subventricular zone 96%
Similar papers in this journal
- Microglia associations with brain pericytes and the vasculature are reduced in Alzheimer's disease 96%
- Contributions of genetic variation in astrocytes to cell and molecular mechanisms of risk and resilience to late onset Alzheimer's disease 96%
- NG2 glia are required for maintaining microglia homeostatic state 95%
Similar papers in this journal
- SARS-CoV-2 promotes microglial synapse elimination in human brain organoids 97%
- Neural stem and progenitor cells support and protect adult hippocampal function via vascular endothelial growth factor secretion. 96%
- Loss of function of the mitochondrial peptidase PITRM1 induces proteotoxic stress and Alzheimer's disease-like pathology in human cerebral organoids 96%
"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.