Evidence map›Paper›PMID 23516448›Full record

ArticlePloS one2013

An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.

Ming-Wei Lin, Joshua W K Ho, Leonard C Harrison, Cristobal G dos Remedios, Stephen Adelstein

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Systemic lupus erythematosus diagnostics in the 'omics' era.International journal of clinical rheumatology · 2013
    Article
  6. Current status of biomarkers for prostate cancer.International journal of molecular sciences · 2013
    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

5 authors.

Ming-Wei LinDepartment of Clinical Immunology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Joshua W K Ho
Leonard C Harrison
Cristobal G dos Remedios
Stephen Adelstein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and the lack of robust biomarkers to distinguish it from other autoimmune diseases. Further, currently used laboratory tests do not readily distinguish active and inactive disease. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose and monitor SLE. Despite showing promise, many are expensive and technically challenging for routine clinical use. The goal of this work is to develop a better diagnostic and monitoring tool for SLE. We report a highly customisable antibody microarray that consists of a duplicate arrangement of 82 antibodies directed against surface antigens on peripheral blood mononuclear cells (PMBCs). This high-throughput array was used to profile SLE patients (n = 60) with varying disease activity, compared to healthy controls (n = 24), patients with rheumatoid arthritis (n = 25), and other autoimmune diseases (n = 28). We used a computational algorithm to calculate a score from the entire microarray profile and correlated it with SLE disease activity. Our results demonstrate that leukocyte-capture microarray profiles can readily distinguish active SLE patients from healthy controls (AUROC = 0.84). When combined with the standard laboratory tests (serum anti-dsDNA, complements C3 and C4), the microarrays provide significantly increased discrimination. The antibody microarrays can be enhanced by the addition of other markers for potential application to the diagnosis and stratification of SLE, paving the way for the customised and accurate diagnosis and monitoring of SLE.

Indexed as

Tissue Array AnalysisAdultAgedAged, 80 and overAntibodiesAntigens, CDBiomarkersCluster AnalysisFemaleHumansLeukocytesLupus Erythematosus, SystemicMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityAntibodiesAntigens, CDBiomarkers

Identifiers

PMID23516448
PMCPMC3596412

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Registered trials

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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.