Evidence map›Paper›PMID 30992452›Full record

ArticleNature communications2019

Phenotyping ciliary dynamics and coordination in response to CFTR-modulators in Cystic Fibrosis respiratory epithelial cells.

M Chioccioli, L Feriani, J Kotar, P E Bratcher, P Cicuta

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Preclinical human models of primary ciliary dyskinesia.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. High-throughput Mucus Microrheology for Phenotyping and Disease Modeling.bioRxiv : the preprint server for biology · 2025
    Article
  6. Mucociliary transport in cystic fibrosis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Specialized proresolving mediator resolvin E1 corrects the altered cystic fibrosis nasal epithelium cilia beating dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. The Multifaceted Roles of MicroRNAs in Cystic Fibrosis.Diagnostics (Basel, Switzerland) · 2020
    Review
  20. Article
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

5 authors.

M ChioccioliBiological and Soft Systems Sector, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
L FerianiBiological and Soft Systems Sector, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
J KotarBiological and Soft Systems Sector, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
P E BratcherDivision of Cell Biology, Department of Pediatrics, National Jewish Health, Denver, CO, 80206, USA. BratcherP@NJHealth.org.ORCID http://orcid.org/0000-0003-2240-8632
P CicutaBiological and Soft Systems Sector, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK. pc245@cam.ac.uk.ORCID http://orcid.org/0000-0002-9193-8496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized approaches for systematically assessing ciliary beat dynamics and for drug testing would improve the challenging task of diagnosing and treating respiratory disorders. In this pilot study, we show how multiscale differential dynamic microscopy (multi-DDM) can be used to characterize collective ciliary beating in a non-biased automated manner. We use multi-DDM to assess the efficacy of different CFTR-modulating drugs in human airway epithelial cells derived from subjects with cystic fibrosis (ΔF508/ΔF508 and ∆F508/-) based on ciliary beat frequency and coordination. Similar to clinical observations, drug efficacy is variable across donors, even within the same genotype. We show how our assay can quantitatively identify the most efficient drugs for restoring ciliary beating for each individual donor. Multi-DDM provides insight into ciliary beating responses following treatment with drugs, and has application in the broader context of respiratory disease and for drug screening.

Indexed as

AlgorithmsAminophenolsAminopyridinesBenzodioxolesBronchiCiliaCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDisease ProgressionEpithelial CellsGenotypeHumansMicroscopyOscillometryPhenotypeQuinolonesAminophenolsAminopyridinesBenzodioxolesCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorivacaftorlumacaftorQuinolones

Identifiers

PMID30992452
PMCPMC6467870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.