Evidence map›Paper›PMID 27716443›Full record

ArticleArthritis research & therapy2016

A discrete cluster of urinary biomarkers discriminates between active systemic lupus erythematosus patients with and without glomerulonephritis.

Carolina Landolt-Marticorena, Stephenie D Prokopec, Stacey Morrison, Babak Noamani, Dennisse Bonilla, Heather Reich, James Scholey, Carmen Avila-Casado, Paul R Fortin, Paul C Boutros and 1 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Biomarkers of Lupus Nephritis Histopathology: Where Do We Stand?Arthritis & rheumatology (Hoboken, N.J.) · 2026
    Pooled it
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  14. Adiponectin Deregulation in Systemic Autoimmune Rheumatic Diseases.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Urinary biomarkers in lupus nephritis.Journal of translational autoimmunity · 2020
    Review
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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

11 authors at 3 institutions in 1 country.

Carolina Landolt-MarticorenaKrembil Research Institute, University Health Network, Toronto, Canada.
Stephenie D ProkopecInformatics and Bio-computing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Stacey MorrisonKrembil Research Institute, University Health Network, Toronto, Canada.
Babak NoamaniKrembil Research Institute, University Health Network, Toronto, Canada.
Dennisse BonillaKrembil Research Institute, University Health Network, Toronto, Canada.
Heather ReichDepartment of Nephrology, University Health Network, University of Toronto Faculty of Medicine, Toronto, Canada.
James ScholeyDepartment of Nephrology, University Health Network, University of Toronto Faculty of Medicine, Toronto, Canada.
Carmen Avila-CasadoDepartment of Pathology, University of Toronto, Toronto General Hospital, University Health Network, Toronto, Canada.
Paul R FortinCentre de recherche du CHU de Québec - Université Laval and Department of Medicine, CHU de Québec - Université Laval, Quebec City, Canada.
Paul C BoutrosInformatics and Bio-computing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Joan WitherKrembil Research Institute, University Health Network, Toronto, Canada. jwither@uhnres.utoronto.ca.ORCID 0000-0001-5961-9228
University Health Network · CAOntario Institute for Cancer Research · CACentre hospitalier de l'Université Laval · CA

Funding

CIHR QNT 78341
6 · The paper itself

Abstract

backgroundManagement of lupus nephritis (LN) would be greatly aided by the discovery of biomarkers that accurately reflect changes in disease activity. Here, we used a proteomics approach to identify potential urinary biomarkers associated with LN.

methodsUrine was obtained from 60 LN patients with paired renal biopsies, 25 active non-LN SLE patients, and 24 healthy controls. Using Luminex, 128 analytes were quantified and normalized to urinary creatinine levels. Data were analyzed by linear modeling and non-parametric statistics, with corrections for multiple comparisons. A second cohort of 33 active LN, 16 active non-LN, and 30 remission LN SLE patients was used to validate the results.

resultsForty-four analytes were identified that were significantly increased in active LN as compared to active non-LN. This included a number of unique proteins (e.g., TIMP-1, PAI-1, PF4, vWF, and IL-15) as well as known candidate LN biomarkers (e.g., adiponectin, sVCAM-1, and IL-6), that differed markedly (>4-fold) between active LN and non-LN, all of which were confirmed in the validation cohort and normalized in remission LN patients. These proteins demonstrated an enhanced ability to discriminate between active LN and non-LN patients over several previously reported biomarkers. Ten proteins were found to significantly correlate with the activity score on renal biopsy, eight of which strongly discriminated between active proliferative and non-proliferative/chronic renal lesions.

conclusionsA number of promising urinary biomarkers that correlate with the presence of active renal disease and/or renal biopsy changes were identified and appear to outperform many of the existing proposed biomarkers.

Indexed as

AdolescentAdultAgedArea Under CurveBiomarkersFemaleHumansLupus Erythematosus, SystemicLupus NephritisMaleMiddle AgedProteomicsROC CurveYoung AdultBiomarkersGlomerulonephritisRenal biopsySystemic lupus erythematosusUrinary biomarkers

Identifiers

PMID27716443
PMCPMC5050957
OpenAlexW2528019479

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.