Back

Designed NGF mimetics with reduced nociceptive signatures in neurons

Schlichthaerle, T.; Yang, A.; Detraux, D.; Johnson, D. E.; Peach, C. J.; Edman, N. I.; Sniezek, C.; Williams, C. A.; Arora, S.; Katiyar, N.; Chen, I.; Etemadi, A.; Favor, A.; Lee, D.; Kubo, C.; Coventry, B.; Huang, B.; Gerben, S.; Ennist, N. M.; Milles, L.; Sankaran, B.; Kang, A.; Nguyen, H.; Bera, A. K.; Negahdari, B.; Hamazaki, N.; Schweppe, D. K.; Stewart, L.; Young, J. E.; Bunnett, N. W.; Ruohola-Baker, H.; Mathieu, J.; Pattwell, S.; Garcia, K. C.; Baker, D.

2025-04-14 biochemistry
10.1101/2025.04.14.648806 bioRxiv
Show abstract

The clinical use of Nerve Growth Factor (NGF) for neuronal regeneration has been hampered by pain sensitization side effects. NGF signals through the receptor tyrosine kinase TrkA and the co-receptor p75NTR; pain sensitization is thought to involve p75NTR. We sought to overcome this limitation by de novo design of a TrkA agonist that does not bind p75NTR. We designed homodimeric TrkA engaging constructs that dimerize TrkA subunits in a variety of geometries, and identified those eliciting the strongest signaling. The resulting designed agonists are able to stimulate transdifferentiated neurons and neuroblastoma cell lines, leading to neurite outgrowth and neuronal differentiation, with considerably reduced transcription of inflammation and pain related genes. These agonists are promising candidates for promoting neuronal regeneration without adverse side effects. HighlightsO_LIDe novo designed TrkA agonists activate MAPK and PI3K-AKT signaling C_LIO_LIRigid fusions allow for highly tunable signaling signatures C_LIO_LITrkA agonists lead to neurite outgrowth in neuroblastoma cells comparable to retinoic acid C_LIO_LIModulation of the TrkA pathway without co-stimulating p75NTR leads to a downregulation of inflammatory and nociceptive signature in neurons. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/648806v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@c48066org.highwire.dtl.DTLVardef@c9c5a7org.highwire.dtl.DTLVardef@cf8ebdorg.highwire.dtl.DTLVardef@a4345a_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.