PuSH - Publication Server of Helmholtz Zentrum München

Forstner, M.* ; Lin, S. ; Yang, X.* ; Kinting, S.* ; Rothenaigner, I. ; Schorpp, K.K. ; Li, Y.* ; Hadian, K. ; Griese, M.*

High-content screen identifies cyclosporin A as a novel ABCA3-specific molecular corrector.

Am. J. Respir. Cell Mol. Biol. 66, 382-390 (2022)
Publ. Version/Full Text Postprint DOI PMC
Open Access Green
ATP-binding cassette (ABC) subfamily A member 3 (ABCA3) is a lipid transporter expressed in alveolar type II cells and localized in the limiting membrane of lamellar bodies. It is crucial for pulmonary surfactant storage and homeostasis. Mutations in the ABCA3 gene are the most common genetic cause of respiratory distress syndrome in mature newborns and interstitial lung disease in children. Apart from lung transplantation, there is no cure available. To address the lack of causal therapeutic options for ABCA3 deficiency, a rapid and reliable approach is needed to investigate variant-specific molecular mechanisms and to identify pharmacological modulators for mono- or combination therapies. To this end, we developed a phenotypic cell-based assay to autonomously identify ABCA3 wild-type-like or mutant-like cells by using machine-learning algorithms aimed at identifying morphological differences in WT and mutant cells. The assay was subsequently used to identify new drug candidates for ABCA3 specific molecular correction by high-content screening of 1,280 food and drug administration-approved small molecules. Cyclosporin A (CsA) was identified as a potent corrector, specific for some, but not all ABCA3 variants. Results were validated by our previously established functional small format assays. Hence, CsA may be selected for orphan drug evaluation in controlled repurposing trials in patients.
Impact Factor
Scopus SNIP
Scopus
Cited By
Altmetric
7.748
1.181
3
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Abca3 ; Childhood Interstitial Lung Disease ; Cyclosporin A ; High-content Screening ; Machine Learning
Language english
Publication Year 2022
Prepublished in Year 2021
HGF-reported in Year 2021
ISSN (print) / ISBN 1044-1549
e-ISSN 1535-4989
Quellenangaben Volume: 66, Issue: 4, Pages: 382-390 Article Number: , Supplement: ,
Publisher American Thoracic Society
Reviewing status Peer reviewed
Institute(s) Institute of Molecular Toxicology and Pharmacology (TOX)
Research Unit Signaling and Translation (SAT)
POF-Topic(s) 30203 - Molecular Targets and Therapies
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505293-001
G-509800-002
Scopus ID 85128160495
PubMed ID 34936540
Erfassungsdatum 2022-02-02