Evidence map›Paper›PMID 29643425›Full record

ArticleScientific reports2018

A novel two-score system for interferon status segregates autoimmune diseases and correlates with clinical features.

Y M El-Sherbiny, A Psarras, M Y Md Yusof, E M A Hensor, R Tooze, G Doody, A A A Mohamed, D McGonagle, M Wittmann, P Emery and 1 more

Erratum issuedOpen access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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  8. Microheterogeneity in the Kinetics and Sex-Specific Response to Type I IFN.Journal of immunology (Baltimore, Md. : 1950) · 2024
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  20. Stochastic dynamics of Type-I interferon responses.PLoS computational biology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Y M El-SherbinyNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
A PsarrasNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
M Y Md YusofNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
E M A HensorNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
R ToozeExperimental Haematology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.ORCID 0000-0003-2915-7119
G DoodyExperimental Haematology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.ORCID 0000-0003-0665-6759
A A A MohamedNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
D McGonagleNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
M WittmannNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
P EmeryNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
E M VitalNational Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK. e.m.j.vital@leeds.ac.uk.ORCID 0000-0003-1637-4755
University of Leeds · GB

Funding

Cancer Research UK 17723Department of Health CS-2013-13-032Department of Health DRF-2014-07-155Department of Health RTF/01/097Medical Research Council MR/M01665X/1MRF_ MRF-159-0003-ELP-VITAL
6 · The paper itself

Abstract

Measurement of type I interferon (IFN-I) has potential to diagnose and stratify autoimmune diseases, but existing results have been inconsistent. Interferon-stimulated-gene (ISG) based methods may be affected by the modularity of the ISG transcriptome, cell-specific expression, response to IFN-subtypes and bimodality of expression. We developed and clinically validated a 2-score system (IFN-Score-A and -B) using Factor Analysis of 31 ISGs measured by TaqMan selected from 3-IFN-annotated modules. We evaluated these scores using in-vitro IFN stimulation as well as in sorted cells then clinically validated in a cohort of 328 autoimmune disease patients and healthy controls. ISGs varied in response to IFN-subtypes and both scores varied between cell subsets. IFN-Score-A differentiated Systemic Lupus Erythematosus (SLE) from both Rheumatoid Arthritis (RA) and Healthy Controls (HC) (both p < 0.001), while IFN-Score-B differentiated SLE and RA from HC (both p < 0.001). In SLE, both scores were associated with cutaneous and hematological (all p < 0.05) but not musculoskeletal disease activity. Comparing with bimodal (IFN-high/low) classification, significant differences in IFN-scores were found between diagnostic groups within the IFN-high group. Our continuous 2-score system is more clinically relevant than a simple bimodal classification of IFN status. This system should allow improvement in diagnosis, stratification, and therapy in IFN-mediated autoimmunity.

Indexed as

Arthritis, RheumatoidGene Expression ProfilingGene Expression RegulationHumansImmunologic FactorsInterferonsLupus Erythematosus, SystemicMolecular Diagnostic TechniquesImmunologic FactorsInterferons

Identifiers

PMID29643425
PMCPMC5895784
OpenAlexW2802762846

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LicenceCC BY
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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.