Evidence map›Paper›PMID 25144639›Full record

ArticlePloS one2014

Identification of urinary peptide biomarkers associated with rheumatoid arthritis.

Angelique Stalmach, Hanna Johnsson, Iain B McInnes, Holger Husi, Julie Klein, Mohammed Dakna, William Mullen, Harald Mischak, Duncan Porter

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 37 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

9 authors at 3 institutions in 2 countries.

Angelique StalmachUniversity of Glasgow, Institute of Cardiovascular and Medical Sciences, Glasgow, United Kingdom.
Hanna JohnssonWestern General Infirmary, Edinburgh, United Kingdom.
Iain B McInnesUniversity of Glasgow, Institute of Infection, Immunity and Inflammation, Glasgow, United Kingdom.
Holger HusiUniversity of Glasgow, Institute of Cardiovascular and Medical Sciences, Glasgow, United Kingdom.
Julie KleinMosaiques-Diagnostics GmbH, Hannover, Germany.
Mohammed DaknaMosaiques-Diagnostics GmbH, Hannover, Germany.
William MullenUniversity of Glasgow, Institute of Cardiovascular and Medical Sciences, Glasgow, United Kingdom.
Harald MischakUniversity of Glasgow, Institute of Cardiovascular and Medical Sciences, Glasgow, United Kingdom; Mosaiques-Diagnostics GmbH, Hannover, Germany.
Duncan PorterUniversity of Glasgow, Institute of Infection, Immunity and Inflammation, Glasgow, United Kingdom.
University of Glasgow · GBMosaiques Diagnostics and Therapeutics (Germany) · DEWestern Infirmary · GB

Funding

Chief Scientist Office
6 · The paper itself

Abstract

Early diagnosis and treatment of rheumatoid arthritis are associated with improved outcomes but current diagnostic tools such as rheumatoid factor or anti-citrullinated protein antibodies have shown limited sensitivity. In this pilot study we set out to establish a panel of urinary biomarkers associated with rheumatoid arthritis using capillary electrophoresis coupled to mass spectrometry. We compared the urinary proteome of 33 participants of the Scottish Early Rheumatoid Arthritis inception cohort study with 30 healthy controls and identified 292 potential rheumatoid arthritis-specific peptides. Amongst them, 39 were used to create a classifier model using support vector machine algorithms. Specific peptidic fragments were differentially excreted between groups; fragments of protein S100-A9 and gelsolin were less abundant in rheumatoid arthritis while fragments of uromodulin, complement C3 and fibrinogen were all increasingly excreted. The model generated was subsequently tested in an independent test-set of 31 samples. The classifier demonstrated a sensitivity of 88% and a specificity of 93% in diagnosing the condition, with an area under the receiver operating characteristic curve of 0.93 (p<0.0001). These preliminary results suggest that urinary biomarkers could be useful in the early diagnosis of rheumatoid arthritis. Further studies are currently being undertaken in larger cohorts of patients with rheumatoid arthritis and other athridities to assess the potential of the urinary peptide based classifier in the early detection of rheumatoid arthritis.

Indexed as

AdultAgedArthritis, RheumatoidBiomarkersComplement C3FemaleFibrinogenHumansMaleMiddle AgedPeptidesYoung AdultBiomarkersComplement C3FibrinogenPeptides

Identifiers

PMID25144639
PMCPMC4140712
OpenAlexW2084048381

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.