Evidence map›Paper›PMID 36261424›Full record

ArticleCell death & disease2022

Modeling native and seeded Synuclein aggregation and related cellular dysfunctions in dopaminergic neurons derived by a new set of isogenic iPSC lines with SNCA multiplications.

Angelo Iannielli, Mirko Luoni, Serena Gea Giannelli, Rosangela Ferese, Gabriele Ordazzo, Matteo Fossati, Andrea Raimondi, Felipe Opazo, Olga Corti, Jochen H M Prehn and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Frontiers in molecular neuroscience · 2024
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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

13 authors at 8 institutions in 4 countries.

Angelo Iannielli *National Research Council (CNR), Institute of Neuroscience, 20129, Milan, Italy.
Mirko Luoni *Division of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy.
Serena Gea Giannelli *Division of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy.
Rosangela FereseIRCCS Neuromed, Pozzilli, Italy.
Gabriele OrdazzoDivision of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy.
Matteo FossatiNational Research Council (CNR), Institute of Neuroscience, 20129, Milan, Italy.
Andrea RaimondiExperimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.
Felipe OpazoUniversity Medical Center Göttingen, D-37073, Göttingen, Germany.
Olga CortiSorbonne Université, Institut du Cerveau (ICM), Inserm U1127, CNRS, UMR 7225, Paris, France.
Jochen H M PrehnRoyal College of Surgeons in Ireland University of Medicine and Health Sciences, Department of Physiology and Medical Physics and SFI FutureNeuro Research Centre, 123 St. Stephen's Green, Dublin, Ireland.ORCID 0000-0003-3479-7794
Stefano GambardellaIRCCS Neuromed, Pozzilli, Italy.
Ronald MelkiInstitut Francois Jacob, Molecular Imaging Center (MIRCen), Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA) and Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Fontenay-aux-Roses, France.
Vania BroccoliNational Research Council (CNR), Institute of Neuroscience, 20129, Milan, Italy. broccoli.vania@hsr.it.ORCID 0000-0003-4050-0926
San Raffaele University of Rome · ITCentre National de la Recherche Scientifique · FRIstituto Neurologico Mediterraneo · ITNational Research Council · ITRoyal College of Surgeons in Ireland · IEUniversitätsmedizin Göttingen · DEUniversity of Urbino · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triplication of the SNCA gene, encoding the protein alpha-Synuclein (αSyn), is a rare cause of aggressive and early-onset parkinsonism. Herein, we generated iPSCs from two siblings with a recently described compact SNCA gene triplication and suffering from severe motor impairments, psychiatric symptoms, and cognitive deterioration. Using CRISPR/Cas9 gene editing, each SNCA copy was inactivated by targeted indel mutations generating a panel of isogenic iPSCs with a decremental number from 4 down to none of functional SNCA gene alleles. We differentiated these iPSC lines in midbrain dopaminergic (DA) neuronal cultures to characterize αSyn aggregation in native and seeded conditions and evaluate its associated cellular dysfunctions. Utilizing a new nanobody-based biosensor combined with super-resolved imaging, we were able to visualize and measure αSyn aggregates in early DA neurons in unstimulated conditions. Calcium dysregulation and mitochondrial alterations were the first pathological signs detectable in early differentiated DA neuronal cultures. Accelerated αSyn aggregation was induced by exposing neurons to structurally well-characterized synthetic αSyn fibrils. 4xSNCA DA neurons showed the highest vulnerability, which was associated with high levels of oxidized DA and amplified by TAX1BP1 gene disruption. Seeded DA neurons developed large αSyn deposits whose morphology and internal constituents resembled Lewy bodies commonly observed in Parkinson's disease (PD) patient brain tissues. These findings provide strong evidence that this isogenic panel of iPSCs with SNCA multiplications offers a remarkable cellular platform to investigate mechanisms of PD and validate candidate inhibitors of native and seeded αSyn aggregation.

Indexed as

Induced Pluripotent Stem CellsParkinson Diseasealpha-SynucleinCalciumDopaminergic NeuronsHumansalpha-SynucleinCalciumSNCA protein, human

Identifiers

PMID36261424
PMCPMC9581971
OpenAlexW4306784411

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.