Evidence map›Paper›PMID 28474961›Full record

ArticleLupus2018

Urine peptidomic biomarkers for diagnosis of patients with systematic lupus erythematosus.

M Pejchinovski, J Siwy, W Mullen, H Mischak, M A Petri, L C Burkly, R Wei

Open access · greenAbstract read
In one paragraph

Article in Lupus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. CE-MS for Proteomics and Intact Protein Analysis.Advances in experimental medicine and biology · 2021
    Article
  11. Peptidomics and Capillary Electrophoresis.Advances in experimental medicine and biology · 2021
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Diagnostic and prognostic tests in systemic lupus erythematosus.Best practice & research. Clinical rheumatology · 2017
    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

7 authors at 4 institutions in 3 countries.

M Pejchinovski1 Mosaiques Diagnostics GmbH, Hannover, Germany.
J Siwy1 Mosaiques Diagnostics GmbH, Hannover, Germany.
W Mullen2 BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.
H Mischak1 Mosaiques Diagnostics GmbH, Hannover, Germany.
M A Petri3 Johns Hopkins School of Medicine, Baltimore, MD, USA.
L C Burkly4 Biogen Inc, Cambridge, Cambridge, MA, USA.
R Wei4 Biogen Inc, Cambridge, Cambridge, MA, USA.
Mosaiques Diagnostics and Therapeutics (Germany) · DEBiogen (United States) · USJohns Hopkins University · USUniversity of Glasgow · GB

Funding

Lupus CohortR01AR043727 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 1997 to 2015
$8.2M
Hopkins Lupus CohortR01AR069572 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 2016 to 2020
$3.4M
NIAMS NIH HHS R01 AR043727NIAMS NIH HHS R01 AR069572
6 · The paper itself

Abstract

Background Systematic lupus erythematosus (SLE) is characterized with various complications which can cause serious organ damage in the human body. Despite the significant improvements in disease management of SLE patients, the non-invasive diagnosis is entirely missing. In this study, we used urinary peptidomic biomarkers for early diagnosis of disease onset to improve patient risk stratification, vital for effective drug treatment. Methods Urine samples from patients with SLE, lupus nephritis (LN) and healthy controls (HCs) were analyzed using capillary electrophoresis coupled to mass spectrometry (CE-MS) for state-of-the-art biomarker discovery. Results A biomarker panel made up of 65 urinary peptides was developed that accurately discriminated SLE without renal involvement from HC patients. The performance of the SLE-specific panel was validated in a multicentric independent cohort consisting of patients without SLE but with different renal disease and LN. This resulted in an area under the receiver operating characteristic (ROC) curve (AUC) of 0.80 ( p < 0.0001, 95% confidence interval (CI) 0.65-0.90) corresponding to a sensitivity and a specificity of 83% and 73%, respectively. Based on the end terminal amino acid sequences of the biomarker peptides, an in silico methodology was used to identify the proteases that were up or down-regulated. This identified matrix metalloproteinases (MMPs) as being mainly responsible for the peptides fragmentation. Conclusions A laboratory-based urine test was successfully established for early diagnosis of SLE patients. Our approach determined the activity of several proteases and provided novel molecular information that could potentially influence treatment efficacy.

Indexed as

BiomarkersCase-Control StudiesElectrophoresis, CapillaryHumansLupus Erythematosus, SystemicMass SpectrometryPeptidesProteomeBiomarkersPeptidesProteomeprotease predictionSLEurine peptide biomarkers

Identifiers

PMID28474961
PMCPMC6037307
OpenAlexW2611550882

What OpenQuestion holds

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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.