The inhibition of the JNK2-Syntaxin-1A interaction neuroprotects against retinal degeneration
Cimino, M.; Serkiz, J.; Konstantopoulos, J. K.; Tisi, A.; Cappelletti, P.; Maccarone, R.; Sappington, R. M.; Feligioni, M.
Show abstract
Retinal diseases (RDs) involve the degeneration of retinal cells, particularly retinal ganglion cells (RGCs), often driven by glutamate imbalance and aberrant signaling. We previously identified a presynaptic self-amplifying mechanism of glutamate overflow, where NMDA overstimulation activates JNK2-mediated phosphorylation of STX1A. To block this mechanism, a cell-permeable peptide, called JGRi1, was previously developed to disrupt the JNK2-STX1A interaction. Here, we investigated whether inhibition of this pathway by JGRi1 could provide neuroprotection in retinal degeneration. Here we showed that JGRi1 efficiently reached the mouse retina upon topical administration as eye drops and granted retinal protection. Using an ex vivo optic nerve cut (evONC) model, we demonstrated that JGRi1 preserved RGC viability, reduced phosphorylation of JNK and STX1A, and lowered glutamate release. In retinal wholemounts, JGRi1 similarly preserved RGC survival. Furthermore, in an NMDA-induced degeneration model, JGRi1 protected RGCs, reduced glutamate levels, disrupted the JNK2-STX1A interaction, and limited microglial infiltration. Collectively, our findings highlight the central role of the JNK2-STX1A pathway in retinal degeneration and identify JGRi1 as a promising neuroprotective tool. SYNOPSISGlutamate excitotoxicity drives retinal diseases via JNK2-dependent phosphorylation of STX1A, causing non-canonical presynaptic glutamate spillover (nPING). We developed JGRi1, a cell-permeable peptide that blocks the JNK2-STX1A interaction and prevents spillover. O_LIJGRi1 effectively reaches the retina via both ex vivo and in vivo topical administration, accumulating in the ganglion cell layer (GCL) and other retinal layers in a dose-dependent manner. C_LIO_LIJGRi1 protects retinal ganglion cells (RGCs) from degeneration in both evONC- and NMDA-induced models, reducing apoptosis, preserving retinal cytoarchitecture and axonal connectivity, and lowering glutamate spillover. C_LIO_LIJGRi1 counteracts the excitotoxic cascade by reducing JNK2 upregulation, STX1A phosphorylation, their interaction and co-localization, limiting SNARE complex formation, and dampening microglial activation. C_LI
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Ibudilast Protects Retinal Bipolar Cells from Excitotoxic Retinal Damage and Activates the mTOR Pathway 97%
- Midkine in chick and mouse retinas: neuroprotection, glial reactivity and the formation of Müller glia-derived progenitor cells 97%
- Chromatin access regulates the formation of Muller glia-derived progenitor cells in the retina 96%
Similar papers in this journal
- Nr2e3 functional domain ablation by CRISPR-Cas9D10A identifies a new isoform and generates Retinitis Pigmentosa and Enhanced S-cone Syndrome models 95%
- MCT2 Overexpression Rescues Metabolic Vulnerability and Protects Retinal Ganglion Cells in Two Models of Glaucoma 95%
- Specific photoreceptor cell fate pathways are differentially altered in NR2E3-associated diseases 94%
Similar papers in this journal
- Sphingosine-1-phosphate signaling regulates the ability of Müller glia to become neurogenic, proliferating progenitor-like cells 96%
- MCT1-dependent energetic failure and neuroinflammation underlie optic nerve degeneration in Wolfram syndrome mice 96%
- KIT ligand protects against both light-induced and genetic photoreceptor degeneration 95%
Similar papers in this journal
- Age-related macular degeneration-like phenotypic features develop at the early ages of Cxcr5/Nrf2 double knockout mice: An accelerated AMD model 96%
- Imaging of lactate metabolism in retinal Müller cells with a FRET nanosensor 95%
- Comparative Proteomic Study of Retinal Ganglion Cells Undergoing Various Types of Cellular Stressors 94%
"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.