Evidence map›Paper›PMID 39764003›Full record

ArticlebioRxiv : the preprint server for biology2024

Patient-derived Induced Pluripotent Stem Cells as a Model to Study Frontotemporal Dementia Pathologies.

Sonia Infante-Tadeo, Diane L Barber

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Sonia Infante-TadeoORCID 0000-0001-9476-886X
Diane L Barber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neurodegenerative disorder Frontotemporal Dementia (FTD) can be caused by a repeat expansion (GGGGCC; G4C2) in C9orf72. The function of wild-type C9orf72 and the mechanism by which the C9orf72-G4C2 mutation causes FTD, however, remain unresolved. Diverse disease models including human brain samples and differentiated neurons from patient-derived induced pluripotent stem cells (iPSCs) identified some hallmarks associated with FTD, but these models have limitations, including biopsies capturing only a static snapshot of dynamic processes and differentiated neurons being labor-intensive, costly, and post-mitotic. We find that patient-derived iPSCs, without being differentiated into neurons, exhibit established FTD hallmarks, including increased lysosome pH, decreased lysosomal cathepsin activity, cytosolic TDP-43 proteinopathy, and increased nuclear TFEB. Moreover, lowering lysosome pH in FTD iPSCs mitigates TDP-43 proteinopathy, suggesting a key role for lysosome dysfunction. RNA-seq reveals dysregulated transcripts in FTD iPSCs affecting calcium signaling, cell death, synaptic function, and neuronal development. We confirm differences in protein expression for some dysregulated genes not previously linked to FTD, including CNTFR (neuronal survival), Annexin A2 (anti-apoptotic), NANOG (neuronal development), and moesin (cytoskeletal dynamics). Our findings underscore the potential of FTD iPSCs as a model for studying FTD cellular pathology and for drug screening to identify therapeutics. SIGNIFICANCE STATEMENT: Understanding the cellular pathology of Frontotemporal Dementia linked to a GGGGCC expansion in the C9orf72 gene remains a challenge.This study shows that undifferentiated patient-derived iPSCs exhibit hallmark FTD characteristics, including lysosome dysfunction and TDP-43 proteinopathy, and identifies dysregulated genes related to neurodegeneration.These findings highlight patient-derived iPSCs as a valuable model for studying FTD pathology and for drug screening, potentially guiding future research in therapeutic development.

Identifiers

PMID39764003
PMCPMC11702718

What Socratic 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 Socratic graph.