Evidence map›Paper›PMID 32899238›Full record

ReviewInternational journal of molecular sciences2020

Mass Spectrometry Imaging as a Potential Tool to Investigate Human Osteoarthritis at the Tissue Level.

Yea-Rin Lee, Matthew T Briggs, Mark R Condina, Hamish Puddy, Paul H Anderson, Peter Hoffmann, Julia S Kuliwaba

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Yea-Rin LeeClinical and Health Sciences, Health and Biomedical Innovation, University of South Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-9614-0686
Matthew T BriggsFuture Industries Institute, Mawson Lakes Campus, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-6601-2552
Mark R CondinaFuture Industries Institute, Mawson Lakes Campus, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-1375-9820
Hamish PuddySchool of Medicine, Flinders University, Bedford Park, SA 5042, Australia.
Paul H AndersonClinical and Health Sciences, Health and Biomedical Innovation, University of South Australia, Adelaide, SA 5000, Australia.
Peter HoffmannFuture Industries Institute, Mawson Lakes Campus, University of South Australia, Mawson Lakes, SA 5095, Australia.
Julia S KuliwabaDiscipline of Orthopaedics and Trauma, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia.
University of South Australia · AUFlinders University · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is the most common degenerative joint disease, predicted to increase in incidence year by year due to an ageing population. Due to the biological complexity of the disease, OA remains highly heterogeneous. Although much work has been undertaken in the past few years, underlying molecular mechanisms leading to joint tissue structural deterioration are not fully understood, with only few validated markers for disease diagnosis and progression being available. Discovery and quantitation of various OA-specific biomarkers is still largely focused on the bodily fluids which does not appear to be reliable and sensitive enough. However, with the advancement of spatial proteomic techniques, several novel peptides and proteins, as well as N-glycans, can be identified and localised in a reliable and sensitive manner. To summarise the important findings from OA biomarker studies, papers published between 2000 and 2020 were searched via Google Scholar and PubMed. Medical subject heading (MeSH) terms 'osteoarthritis', 'biomarker', 'synovial fluid', 'serum', 'urine', 'matrix-assisted laser desorption/ionisation', 'mass spectrometry imaging', 'proteomic', 'glycomic', 'cartilage', 'synovium' AND 'subchondral bone' were selectively used. The literature search was restricted to full-text original research articles and written only in English. Two main areas were reviewed for OA biomarker studies: (1) an overview of disease-specific markers detected from different types of OA bio-samples, and (2) an up-to-date summary of the tissue-specific OA studies that have utilised matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). Overall, these OA biomarkers could provide clinicians with information for better the diagnosis, and prognosis of individual patients, and ultimately help facilitate the development of disease-modifying treatments.

Indexed as

BiomarkersCartilage, ArticularHumansOsteoarthritisProteomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSynovial MembraneBiomarkersProteomebiomarkersmatrix-assisted laser desorption/ionisation mass spectrometry imagingosteoarthritisproteomics

Identifiers

PMID32899238
PMCPMC7503948
OpenAlexW3081615279

What OpenQuestion holds

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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.