Evidence map›Paper›PMID 35080155›Full record

ArticleActa physiologica (Oxford, England)2022

Multiplex analysis of mass imaging data: Application to the pathology of experimental myocardial infarction.

Han Shi, Mary El Kazzi, Yuyang Liu, Antony Gao, Angie L Schroder, Sally Vuong, Pamela A Young, Benjamin S Rayner, Caryn van Vreden, Nicholas J C King and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta physiologica (Oxford, England), 2022. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Han ShiRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Mary El KazziRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Yuyang LiuRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Antony GaoRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Angie L SchroderRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Sally VuongThe Heart Research Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-2295-7893
Pamela A YoungAustralian Centre for Microscopy & Microanalysis, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Benjamin S RaynerThe Heart Research Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Caryn van VredenImmunopathology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Nicholas J C KingImmunopathology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-3877-9772
Paul K WittingRedox Biology Group, Discipline of Pathology, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-2237-7004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimImaging mass cytometry (IMC) affords simultaneous immune-labelling/imaging of multiple antigens in the same tissue. Methods utilizing multiplex data beyond co-registration are lacking. This study developed and applied an innovative spatial analysis workflow for multiplex imaging data to IMC data determined from cardiac tissues and revealed the mechanism(s) of neutrophil-mediated post-myocardial-infarction damage.

methodsIMC produced multiplex images with various redox/inflammatory markers. The cardiac peri-infarct zone (PIZ) was determined to be up to 240 µm from the infarct border based on the presence of neutrophils. The tissue region beyond the infarct was defined as the remote area (RA). ImageJ was used to quantify the immunoreactivity. Functional assessments included infarct size, cell necro/apoptosis, total thiol assay and echocardiogram.

resultsExpression of damage markers decreased in order from the infarct area to PIZ and then RA, reflecting the neutrophil density in the regions. Concentrically spaced "shoreline contour analysis" around the cardiac infarct extending into the PIZ showed that immunoreactivity for damage markers decreased linearly with increasing distance from the infarct, concomitant with a decreasing neutrophil-myeloperoxidase (MPO) gradient from the infarct to the PIZ. Stratifying by concentric bands around individual MPO

conclusionThis image-based quantitative protocol revealed the spatial association and provided potential molecular pathways responsible for neutrophil-mediated damage post-infarction.

Indexed as

Myocardial InfarctionDiagnostic ImagingHumansMyocardiumNeutrophilsPeroxidasePeroxidaseimaging mass cytometrymyeloperoxidasemyocardial infarctneutrophiloxidative damage

Identifiers

PMID35080155
PMCPMC9286669

What OpenQuestion holds

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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.