Evidence map›Paper›PMID 41814068›Full record

ArticleMolecular systems biology2026

Structure-function relationship of alpha-synuclein fibrillar polymorphs derived from distinct synucleinopathies.

Tetiana Serdiuk, Virginie Redeker, Jimmy Savistchenko, Sandesh Neupane, Walther Haenseler, Yanick Fleischmann, Viviane Reber, Sabrina Keller, Cinzia Tiberi, Ruxandra Bachmann-Gagescu and 8 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Differential proteostasis imbalance and the molecular basis of distinct synucleinopathies and tauopathies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  2. Article
  3. Reverse-engineering amyloid strains with generative protein design.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Tetiana SerdiukInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3706-5911
Virginie RedekerInstitut Francois Jacob (MIRCen), CEA, and Laboratory of Neurodegenerative Diseases, CNRS, Université Paris-Saclay, Fontenay-Aux-Roses, France.ORCID http://orcid.org/0000-0003-2694-8388
Jimmy SavistchenkoInstitut Francois Jacob (MIRCen), CEA, and Laboratory of Neurodegenerative Diseases, CNRS, Université Paris-Saclay, Fontenay-Aux-Roses, France.
Sandesh NeupaneInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-0677-8289
Walther HaenselerURPP Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
Yanick FleischmannLaboratory of Physical Chemistry, ETH Zurich, Zurich, Switzerland.
Viviane ReberInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7653-6918
Sabrina KellerInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8976-9208
Cinzia TiberiBiozentrum, University of Basel, Basel, Switzerland.
Ruxandra Bachmann-GagescuURPP Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
Matthias GstaigerInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3245-3253
Thomas BraunBiozentrum, University of Basel, Basel, Switzerland.
Roland RiekLaboratory of Physical Chemistry, ETH Zurich, Zurich, Switzerland.
Steve GentlemanDepartment of Brain Sciences, Hammersmith Hospital, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-7131-4643
Adriano AguzziInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0344-6708
Natalie de SouzaInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4286-8951
Ronald Melki *Institut Francois Jacob (MIRCen), CEA, and Laboratory of Neurodegenerative Diseases, CNRS, Université Paris-Saclay, Fontenay-Aux-Roses, France. ronald.melki@cnrs.fr.ORCID http://orcid.org/0000-0003-0000-7096
Paola Picotti *Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland. picotti@imsb.biol.ethz.ch.ORCID http://orcid.org/0000-0002-4109-3552

Funding

EC | Horizon Europe | Excellent Science | HORIZON EUROPE European Research Council (ERC) 866004EMPIRIS Foundation 2022-FS-353ERA PerMed Era-Net Cofund ANR-22-PERM-0006EU/EFPIA/OICR/McGill/KTH/Diamond Innovative Medicines Initiative 2 Joint Undertaking 875510Fondation pour la Recherche Médicale (FRM) ALZ201912009776Personalized Health and Related Technologies PHRT-506Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) CRSII5_177195Stiftung Synapsis - Alzheimer Forschung Schweiz AFS (Stiftung Synapsis - AFS) 2023-CDA02
6 · The paper itself

Abstract

The aggregation of the protein alpha-synuclein (αSyn) is a common feature of multiple neurodegenerative diseases collectively called synucleinopathies, for which the pathobiology is not well understood. The different phenotypic characteristics of the synucleinopathies Parkinson's disease (PD), Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA) have been proposed to originate from the distinct structures adopted by αSyn in its amyloid forms. Here, using covalent labeling and limited proteolysis coupled to mass spectrometry (LiP-MS) in vitro and in situ within neuronal cells and directly in native patient brain homogenates, we show that pathogenic αSyn from distinct synucleinopathies (PD, DLB and MSA) are structurally different. Further, we found that fibril structural differences are associated with different putative fibril interactomes and neuronal responses. We discovered disease-specific ubiquitination patterns and turnover profiles for pathogenic αSyn species, detected molecular pathways responding specifically to the uptake of different αSyn fibrillar polymorphs, and identified a subset of the involved proteins as putative interactors of αSyn. In particular, components of the ubiquitin-proteasomal System (UPS), including E3 ubiquitin ligases, chaperones, and deubiquitinating proteins, showed disease/polymorph-specific putative interaction patterns, possibly accounting for different resistance of patient-derived αSyn fibrils to degradation. Genetic modulation with CRISPR-based tools showed that members of the UPS degradation pathway (three E3 ligases: UBE3A, TRIM25, HUWE1 and the AAA+ ATPase VCP) reduced αSyn inclusions, in a strain-specific manner. LiP-MS also identified sets of proteins with altered protease susceptibility in postmortem brain homogenates of PD, DLB, and MSA patients. These sets were largely disease-specific and included proteins altered in cells treated with fibrils derived from patients with the matching disease. Our findings provide insight into cellular processes involved in the accumulation and turnover of αSyn pathogenic aggregates in PD, DLB and MSA in a disease/specific manner and constitutes a resource of potential novel drug targets in these synucleinopathies.

Indexed as

alpha-SynucleinAmyloidSynucleinopathiesBrainHumansMass SpectrometryMultiple System AtrophyNeuronsParkinson DiseaseProteolysisStructure-Activity RelationshipUbiquitinationUbiquitin-Protein Ligasesalpha-SynucleinAmyloidUbiquitin-Protein LigasesAlpha-SynucleinAmyloid StrainsLimited Proteolysis-Coupled to Mass SpectrometryParkinson’s DiseaseStructural Proteomics

Identifiers

PMID41814068
PMCPMC13230553

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.