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Seeded aggregation of TDP-43 induces its loss of function and reveals early pathological signatures
Carlo Scialò, Weijia Zhong, Somanath Jagannath, Oscar G. Wilkins, Davide Caredio, Marián Hruška-Plocháň, Flavio Lurati, Martina Peter et al.. Neuron, 2025-03-31
Topic: Brain proteins, microglia and lab models
Neurodegeneration in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) results from both gain of toxicity and loss of normal function of the RNA-binding protein TDP-43, but their mechanistic connection remains unclear. Increasing evidence suggests that TDP-43 aggregates act as self-templating seeds, propagating pathology through the central nervous system via a prion-like cascade. We developed a robust TDP-43-seeding platform for quantitative assessment of TDP-43 aggregate uptake, cell-to-cell spreading, and loss of function within living cells, while they progress toward pathology. We show that both patient-derived and recombinant TDP-43 pathological aggregates were abundantly internalized by human neuron-like cells, efficiently recruited endogenous TDP-43, and formed cytoplasmic inclusions reminiscent of ALS/FTD pathology. Combining a fluorescent reporter of TDP-43 function with RNA sequencing and proteomics, we demonstrated aberrant cryptic splicing and a loss-of-function profile resulting from TDP-43-templated aggregation. Our data highlight known and novel pathological signatures in the context of seed-induced TDP-43 loss of function.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Scialò, C., Zhong, W., Jagannath, S., Wilkins, O. G., Caredio, D., Hruška-Plocháň, M., et al. (2025). Seeded aggregation of TDP-43 induces its loss of function and reveals early pathological signatures. Neuron. https://doi.org/10.1016/j.neuron.2025.03.008
Vancouver
Scialò C, Zhong W, Jagannath S, Wilkins OG, Caredio D, Hruška-Plocháň M, et al. Seeded aggregation of TDP-43 induces its loss of function and reveals early pathological signatures. Neuron. 2025. doi:10.1016/j.neuron.2025.03.008. PMID: 40157355.
BibTeX
@article{scialo2025-40157355,
author = {Scialò, Carlo and Zhong, Weijia and Jagannath, Somanath and Wilkins, Oscar G. and Caredio, Davide and Hruška-Plocháň, Marián and Lurati, Flavio and Peter, Martina and others},
title = {{Seeded aggregation of TDP-43 induces its loss of function and reveals early pathological signatures}},
journal = {Neuron},
year = {2025},
doi = {10.1016/j.neuron.2025.03.008},
pmid = {40157355},
url = {https://doi.org/10.1016/j.neuron.2025.03.008}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- Neurodegeneration in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) results from both gain of toxicity and loss of normal function of the RNA-binding protein TDP-43, but their mechanistic connection remains unclear.
- Increasing evidence suggests that TDP-43 aggregates act as self-templating seeds, propagating pathology through the central nervous system via a prion-like cascade.
- Combining a fluorescent reporter of TDP-43 function with RNA sequencing and proteomics, we demonstrated aberrant cryptic splicing and a loss-of-function profile resulting from TDP-43-templated aggregation.
Why it matters
Using a cell-based seeding platform, this study showed that TDP-43 aggregates can be taken up by human neuron-like cells, recruit normal TDP-43 and cause loss of function. These are laboratory findings about how pathology may spread, not a treatment or prevention for patients.
Study details
- Evidence strengthLow
How this study scored 35/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it. We have no data on journal's citation record and institution's track record, so those were left out: it earned 33 of the 93 points we could judge it on, which is 35 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Neuron) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 4 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 2 / 6 | Cited 2.2× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Magdalini Polymenidou: h-index 42 (OpenAlex, whole career) |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | 0 / 3 | OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40157355) |
| Free to read | 2 / 2 | Free to read |
| Points | 33 / 93 | Scored on 18 of 20 parts. We have no data for the rest, so they are left out: 33 of the 93 points we could judge it on is 35 out of 100. |
| Total | 35 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neuron.2025.03.008
- PubMed: 40157355
- Original source →
- Free full text: Zurich Open Repository and Archive (University of Zurich) →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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