Evidence map›Paper›PMID 36557277›Full record

ArticleMetabolites2022

Multiomic Mass Spectrometry Imaging to Advance Future Pathological Understanding of Ocular Disease.

Joshua Millar, Ema Ozaki, Susan Campbell, Catherine Duckett, Sarah Doyle, Laura M Cole

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Joshua MillarCentre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.ORCID 0000-0002-1520-348X
Ema OzakiImmunobiology Research Group, Department of Clinical Medicine, Trinity College Institute of Neuroscience (TCIN), School of Medicine, Trinity College Dublin (TCD), D02 R590 Dublin 2, Ireland.
Susan CampbellCentre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.
Catherine DuckettCentre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.
Sarah DoyleImmunobiology Research Group, Department of Clinical Medicine, Trinity College Institute of Neuroscience (TCIN), School of Medicine, Trinity College Dublin (TCD), D02 R590 Dublin 2, Ireland.
Laura M ColeCentre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.ORCID 0000-0002-2538-6291
Sheffield Hallam University · GBTrinity College Dublin · IE

Funding

Sheffield Hallam University L543
6 · The paper itself

Abstract

Determining the locations of proteins within the eye thought to be involved in ocular pathogenesis is important to determine how best to target them for therapeutic benefits. However, immunohistochemistry is limited by the availability and specificity of antibodies. Additionally, the perceived role of both essential and non-essential metals within ocular tissue has been at the forefront of age-related macular degeneration (AMD) pathology for decades, yet even key metals such as copper and zinc have yet to have their roles deconvoluted. Here, mass spectrometry imaging (MSI) is employed to identify and spatially characterize both proteomic and metallomic species within ocular tissue to advance the application of a multiomic imaging methodology for the investigation of ocular diseases.

Indexed as

age-related macular degenerationcopperLA-ICP-MSIMALDI-MSImultimodalocular diseaseSARM1zinc

Identifiers

PMID36557277
PMCPMC9786289
OpenAlexW4311975193

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.