Evidence map›Paper›PMID 41467409›Full record

ArticleNeural regeneration research2026

Stem cell models in ataxia-telangiectasia.

Maria Talmon, Giulia Lecchi, Luigia G Fresu

Abstract read
In one paragraph

Article in Neural regeneration research, 2026. 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

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

3 authors.

Maria TalmonDepartment of Pharmaceutical Sciences, University of Piemonte Orientale, Novara, Italy.
Giulia LecchiDepartment of Health Sciences, School of Medicine, University of Piemonte Orientale, Novara, Italy.
Luigia G FresuDepartment of Health Sciences, School of Medicine, University of Piemonte Orientale, Novara, Italy.ORCID 0000-0002-8605-9040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ataxia-telangiectasia is a rare neurodegenerative disease with a complex phenotype, which has recently been associated with alterations in metabolism, inadequate responses to oxidative stress and inflammation, as well as increased cardiovascular and tumor risk. All of these appear to be attributable to genetic mutations/variants in the ataxia-telangiectasia mutated gene, which encodes the ataxia-telangiectasia mutated protein. The possibility of a better phenotypic definition provides a basis for timely, personalized therapeutic intervention to reduce or prevent worsening of clinical symptoms. Several ataxia-telangiectasia mutated knock-out murine models were created, but none efficiently developed progressive ataxia, failing to recapitulate human neurodegeneration following ataxia-telangiectasia mutated deficiency. Furthermore, considering the strong awareness of the ban on the use of animals in scientific research, a great effort has been made and is still ongoing to create human cellular models of ataxia-telangiectasia with the aim of understanding in detail the molecular mechanisms of neurodegeneration and skeletal muscle defect, of being able to identify specific therapies. This review highlights human stem cell approaches as in vitro models that have been established as attempts to study the outcomes of ataxia-telangiectasia mutated inactivation regarding neurogenic and myogenic differentiation. The first attempts at differentiation from fetal tissues, through the induced pluripotent stem cell revolution and the latest urine-derived stem cells will be reviewed.

Indexed as

ataxia-telangiectasiaataxia-telangiectasia mutatedgenetic diseaseneurodegenerative disordersneuronsrare diseaseskeletal muscle cellstem cellsurine-derived stem cell

Identifiers

PMID41467409
PMCPMC13568614

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.