Evidence map›Paper›PMID 30092845›Full record

ArticleArthritis research & therapy2018

Cytokine profiling in active and quiescent SLE reveals distinct patient subpopulations.

John A Reynolds, Eoghan M McCarthy, Sahena Haque, Pintip Ngamjanyaporn, Jamie C Sergeant, Elaine Lee, Eileen Lee, Stephen A Kilfeather, Ben Parker, Ian N Bruce

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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

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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Application of Machine Learning Models in Systemic Lupus Erythematosus.International journal of molecular sciences · 2023
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  17. AlteredDiagnostics (Basel, Switzerland) · 2022
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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

10 authors.

John A ReynoldsArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Eoghan M McCarthyThe Kellgren Centre for Rheumatology, NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Sahena HaqueRheumatology Department, Wythenshawe Hospital, Manchester University Hospitals NHS Foundation, Manchester, UK.
Pintip NgamjanyapornArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Jamie C SergeantArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Elaine LeeAeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK.
Eileen LeeAeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK.
Stephen A KilfeatherAeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK.
Ben ParkerArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Ian N BruceArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK. ian.bruce@manchester.ac.uk.

Funding

Arthritis Research UK 20380Medical Research Council MR/M01665X/1Medical Research Council MR/N00583X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundPatients with SLE display marked clinical and immunlogical heterogeneity. The purpose of the study was to investigate patterns of serum cytokines in patients with active and stable systemic lupus erythematosus (SLE) and to determine how they relate to clinical phenotype.

methodsSerum levels of 10 cytokines were measured retrospectively in a cohort of patients with SLE and in healthy controls using a high-sensitivity multiplex bead array. Disease activity was determined using the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) and British Isles Lupus Assessment Group (BILAG-2004) indices. Logistic regression models were used to determine the association between cytokine levels and active SLE. Principal component analysis (PCA) and cluster analysis was then used to identify subgroups of patients on the basis of cytokine levels.

resultsSerum chemokine (C-X-C motif) ligand 10 (CXCL10) and CXCL13 were significantly higher in patients with SLE compared to healthy controls. Two cytokines (pentraxin-related protein (PTX3) and CXCL10) were significantly higher in patients with active disease after adjustment for potential confounding factors. Measurement of four cytokines (CXCL10, IL-10, IL-21 and PTX3) significantly improved the performance of a model to identify patients with clinically active disease. Cluster analysis revealed that the patients formed 3 distinct groups, characterised by higher levels of interferon alpha (IFNα) and B lymphocyte stimulator (BLyS) (group 1), increased CXCL10 and CXCL13 (group 2) or low levels of cytokines (group 3). Group 2 had significantly lower serum complement and higher anti-double-stranded DNA antibodies and increased prevalence of inflammatory arthritis.

conclusionsMultiplex analysis has identified a serum cytokine signature for active SLE. Within the SLE population distinct cytokine subgroups were identified, with differing clinical and immunological phenotypes that appeared stable over time. Assessment of cytokine profiles may reveal unique insights into disease heterogeneity.

Indexed as

AdultCytokinesFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedRetrospective StudiesCytokinesBiomarkersCluster analysisCytokinesDisease activitySystemic lupus erythematosus

Identifiers

PMID30092845
PMCPMC6085716

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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.