submitted on 2024-07-08, 11:04 and posted on 2024-07-08, 13:28authored byM. Bourdenx, A. Nioche, S. Dovero, M.-L. Arotcarena, S. Camus, G. Porras, M.-L. Thiolat, N. P. Rougier, A. Prigent, P. Aubert, S. Bohic, C. Sandt, F. Laferrière, E. Doudnikoff, N. Kruse, B. Mollenhauer, S. Novello, M. Morari, T. Leste-Lasserre, I. Trigo-Damas, M. Goillandeau, C. Perier, C. Estrada, N. Garcia-Carrillo, A. Recasens, N. N. Vaikath, O. M. A. El-Agnaf, M. T. Herrero, P. Derkinderen, M. Vila, J. A. Obeso, B. Dehay, E. Bezard
<p dir="ltr">Dopaminergic neuronal cell death, associated with intracellular α-synuclein (α-syn)–rich protein aggregates [termed “Lewy bodies” (LBs)], is a well-established characteristic of Parkinson’s disease (PD). Much evidence, accumulated from multiple experimental models, has suggested that α-syn plays a role in PD pathogenesis, not only as a trigger of pathology but also as a mediator of disease progression through pathological spreading. Here, we have used a machine learning–based approach to identify unique signatures of neurodegeneration in monkeys induced by distinct α-syn pathogenic structures derived from patients with PD. Unexpectedly, our results show that, in nonhuman primates, a small amount of singular α-syn aggregates is as toxic as larger amyloid fibrils present in the LBs, thus reinforcing the need for preclinical research in this species. Furthermore, our results provide evidence supporting the true multifactorial nature of PD, as multiple causes can induce a similar outcome regarding dopaminergic neurodegeneration.</p><h2>Other Information</h2><p dir="ltr">Published in: Science Advances<br>License: <a href="https://creativecommons.org/licenses/by-nc/4.0/" rel="nofollow" target="_blank">https://creativecommons.org/licenses/by-nc/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1126/sciadv.aaz9165" target="_blank">https://dx.doi.org/10.1126/sciadv.aaz9165</a></p>
Funding
Michael J. Fox Foundation (2013-8499).
Fundación Séneca (FS19540/PI/14).
MINECO/AEI/FEDER-UE (SAF2015-67239-P).
National infrastructure France BioImaging, Bordeaux Imaging Center (ANR-10INBS-04-0).