Back

Extracellular matrix protein anosmin-1 overexpression regulates dopaminergic phenotype in the CNS and the PNS with no pathogenic consequences in MPTP model of Parkinson disease

Villadiego, J.; Garcia-Swinburn, R.; Garcia-Gonzalez, D.; Lebron-Galan, R.; Murcia-Belmonte, V.; Garcia-Roldan, E.; Suarez-Luna, N.; Nombela, C.; Marchena, M.; de Castro, F.; Toledo-Aral, J. J.

2022-11-26 neuroscience
10.1101/2022.11.25.517917 bioRxiv
Show abstract

The development and survival of dopaminergic neurons are influenced by the fibroblast growth factor (FGF) pathway. Anosmin-1 (A1) is an extracellular matrix protein that acts as a major regulator of this signaling pathway, controlling FGF diffusion, and receptor interaction and shuttling. Furthermore, overexpression of A1 in vivo gives rise to higher number of dopaminergic neurons in the olfactory bulb. Here, using A1 overexpressing mice (A1-mice), we studied the effects of A1 on different populations of catecholaminergic neurons in the central (CNS) and the peripheral nervous systems (PNS). A1 overexpression increases the number of dopaminergic SNpc neurons and alters the striosome/matrix organization of the striatum. Interestingly, these numerical and morphological changes in the nigrostriatal pathway of A1-mice do not confer an altered susceptibility to experimental MPTP-parkinsonism with respect to wild type controls. Moreover, the study of the effects of A1 overexpression was extended to different dopaminergic tissues associated with the PNS, detecting a significant reduction in the number of dopaminergic chemosensitive carotid body glomus cells in A1-mice. Overall, these analyses confirm A1 as a principal regulator of the FGF pathway in the development and survival of dopaminergic neurons in different nuclei of the mammalian nervous system.

Matching journals

The top 9 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.