Evidence map›Paper›PMID 41416220›Full record

ArticleFrontiers in systems biology2025

Towards effective cystic fibrosis gene therapy by optimizing prime editing and pulmonary-targeted LNPs.

Kaya Sophie Lange, Lisa Marie Wiesner, Kathleen Susat, Vera Köhler, Malte Lenger, Christian Alexander Michalek, Anna-Lena Baack, Philip Frederic Mundt, Kai Kanthak, Isabell Alexandra Guckes and 9 more

Abstract read
In one paragraph

Article in Frontiers in systems biology, 2025. 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

19 authors.

Kaya Sophie Lange *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Lisa Marie Wiesner *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Kathleen Susat *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Vera Köhler *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Malte Lenger *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Christian Alexander Michalek *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Anna-Lena Baack *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Philip Frederic Mundt *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Kai Kanthak *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Isabell Alexandra Guckes *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Liliana Sanfilippo *iGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Lucas HaverkampiGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Utkarsh Anil MahajaniGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Felicitas Helena ZimmeriGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Sinan ZimmermanniGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Marco Tobias RadukicCellular and Molecular Biotechnology, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
Levin Joe KlagesMicrobial Genomic and Biotechnology, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Jörn KalinowskiiGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Kristian Mark MülleriGEM Bielefeld-CeBiTec, Center for Biotechnology, Bielefeld University, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis (CF) is the most prevalent inherited disease. Inactivating mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene lead to the accumulation of viscous mucus and subsequent respiratory complications. This study optimized a prime editing (PE) approach to correct CFTR mutations focusing on the F508del mutation. Prime editing allowed to introduce missing bases without double-strand breaks using a Cas9-nickase fused with a reverse transcriptase in combination with a prime editing guide RNA (pegRNA). Various self-designed pegRNAs were compared. For delivery, various lipid nanoparticles (LNP) were tested, which were optimized for stability and lung cells targeting based on lipid selection or chitosan complexion. A fluorescence reporter system, pPEAR_CFTR, was developed mimicking F508del for validation. The five pegRNAs yielding the highest efficiency were used for genomic CFTR correction in a CF bronchial cell line. Nanopore sequencing of genomic DNA revealed approximate 5% edited reads. These results highlight the promise of prime editing-LNP systems for precise and lung-specific gene correction, paving the way for novel therapies in cystic fibrosis and other pulmonary genetic disorders.

Indexed as

cystic fibrosisgene editinggene therapyin vitro prime editinglipid nanoparticlesmucociliary clearanceprime editing

Identifiers

PMID41416220
PMCPMC12710416

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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 OpenQuestion graph.