Evidence map›Paper›PMID 41023157›Full record

ArticleScientific reports2025

Genome editing strategies to generate working models of polycystic kidney disease.

Martina Migliorero, Donatella Marsalla, Francesco Edoardo Vallone, Alessandro Ragone, Claudia Saglia, Caterina Scolari, Valeria Bracciamà, Francesca Arruga, Monica Sorbini, Angelo Corso Faini and 3 more

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Role of Mitochondria in Polycystic Kidney Disease.International journal of molecular sciences · 2026
    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

13 authors.

Martina Migliorero¹Department of Medical Sciences, University of Turin, Turin, Italy.
Donatella Marsalla¹Department of Medical Sciences, University of Turin, Turin, Italy.
Francesco Edoardo Vallone¹Department of Medical Sciences, University of Turin, Turin, Italy.
Alessandro Ragone¹Department of Medical Sciences, University of Turin, Turin, Italy.
Claudia Saglia¹Department of Medical Sciences, University of Turin, Turin, Italy.
Caterina Scolari¹Department of Medical Sciences, University of Turin, Turin, Italy.
Valeria Bracciamà¹Department of Medical Sciences, University of Turin, Turin, Italy.
Francesca Arruga²Immunogenetics and Transplant Biology Service, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy.
Monica Sorbini¹Department of Medical Sciences, University of Turin, Turin, Italy.
Angelo Corso Faini¹Department of Medical Sciences, University of Turin, Turin, Italy.
Licia PeruzziPediatric Nephrology Unit, Regina Margherita Department, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy.
Tiziana Vaisitti¹Department of Medical Sciences, University of Turin, Turin, Italy.
Silvia Deaglio¹Department of Medical Sciences, University of Turin, Turin, Italy. silvia.deaglio@unito.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is predominantly caused by pathogenic variants in PKD1 with truncating variants generally associated with more rapid cyst formation. However, it is difficult to predict disease progression, particularly in the case of missense variants. In this context, our aim was to provide a proof of principle that it is possible to generate cellular models carrying specific PKD1 variants. We generated homozygous (Ex15

Indexed as

Gene EditingPolycystic Kidney, Autosomal DominantPolycystic Kidney DiseasesTRPP Cation ChannelsHEK293 CellsHeterozygoteHumansMitochondriaMutationTRPP Cation ChannelsAutosomal dominant polycystic kidney diseaseGenome editingGenotype-phenotype correlation

Identifiers

PMID41023157
PMCPMC12480119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.