Evidence map›Paper›PMID 39614107›Full record

ArticleScientific reports2024

Using X-ray velocimetry to measure lung function and assess the efficacy of a pseudomonas aeruginosa bacteriophage therapy for cystic fibrosis.

Stephanie A Harker, Melissa Preissner, Rachel Yoon Chang, David Trevascus, Chengxi Liu, Yuncheng Wang, Michael Y T Chow, Patricia Cmielewski, Nicole Reyne, Ying Ying How and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

17 authors.

Stephanie A HarkerSchool of Clinical Sciences, Monash University, Melbourne, VIC, 3800, Australia. sah.corr@gmail.com.
Melissa PreissnerFaculty of Engineering, Monash University, Melbourne, VIC, 3800, Australia.
Rachel Yoon ChangAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, 4072, Australia.
David TrevascusSchool of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia.
Chengxi LiuAdvanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia.
Yuncheng WangAdvanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia.
Michael Y T ChowAdvanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia.
Patricia CmielewskiAdelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia.
Nicole ReyneAdelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia.
Ying Ying HowSchool of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia.
James A PollockSchool of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia.
Mitzi KleinANSTO, Australian Synchrotron, Melbourne, VIC, 3168, Australia.
Christopher A WrightSchool of Clinical Sciences, Monash University, Melbourne, VIC, 3800, Australia.
Stephen DubskyFaculty of Engineering, Monash University, Melbourne, VIC, 3800, Australia.
Martin DonnelleyAdelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia.
Hak-Kim ChanAdvanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia.
Kaye S MorganSchool of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia.

Funding

Australian Research Council DE180101133Australian Research Council FT180100374National Health, Medical Research Council (NHMRC) of Australia APP1140617
6 · The paper itself

Abstract

Phase contrast x-ray imaging (PCXI) provides high-contrast images of weakly-attenuating structures like the lungs. PCXI, when paired with 4D X-ray Velocimetry (XV), can measure regional lung function and non-invasively assess the efficacy of emerging therapeutics. Bacteriophage therapy is an emerging antimicrobial treatment option for lung diseases such as cystic fibrosis (CF), particularly with increasing rates of multi-drug-resistant infections. Current efficacy assessment in animal models is highly invasive, typically requiring histological assessment. We aim to use XV techniques as non-invasive alternatives to demonstrate efficacy of bacteriophage therapy for treating Pseudomonas aeruginosa CF lung infections, measuring functional changes post-treatment. Time-resolved in vivo PCXI-CT scans of control, Pseudomonas-infected, and phage-treated mouse lungs were taken at the Australian Synchrotron Imaging and Medical Beamline. Using XV we measured local lung expansion and ventilation throughout the breath cycle, analysing the skew of the lung expansion distribution. CT images allowed visualisation of the projected air volume in the lungs, assessing structural lung damage. XV analysis demonstrated changes in lung expansion between infection and control groups, however there were no statistically significant differences between treated and placebo groups. In some cases where structural changes were not evident in the CT scans, XV successfully detected changes in lung function.

Indexed as

Cystic FibrosisLungPhage TherapyPseudomonas aeruginosaPseudomonas InfectionsAnimalsBacteriophagesDisease Models, AnimalFemaleMicePseudomonas PhagesRespiratory Function TestsRheologyTomography, X-Ray ComputedBacteriophageComputed tomographyCystic FibrosisPhase contrastX-ray Velocimetry

Identifiers

PMID39614107
PMCPMC11607086

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.