Evidence map›Paper›PMID 37532471›Full record

ArticleRMD open2023

Leflunomide/hydroxychloroquine combination therapy targets type I IFN-associated proteins in patients with Sjögren's syndrome that show potential to predict and monitor clinical response.

Safae Hamkour, Eefje Hm van der Heijden, Ana P Lopes, Sofie L M Blokland, Cornelis P J Bekker, Cornelia G Van Helden-Meeuwsen, Marjan A Versnel, Aike A Kruize, Timothy Rdj Radstake, Helen L Leavis and 2 more

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Safae HamkourDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.ORCID 0000-0003-2522-3609
Eefje Hm van der HeijdenDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.
Ana P LopesDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.ORCID 0000-0003-4954-5151
Sofie L M BloklandDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.
Cornelis P J BekkerDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.
Cornelia G Van Helden-MeeuwsenImmunology, Erasmus Medical Center, Rotterdam, The Netherlands.
Marjan A VersnelImmunology, Erasmus Medical Center, Rotterdam, The Netherlands.
Aike A KruizeDepartment of Rheumatology and Clinical Immunology, Utrecht University, Utrecht, The Netherlands.
Timothy Rdj RadstakeDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.
Helen L LeavisDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.
Maarten R HillenDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands.ORCID 0000-0002-9505-3468
Joel Ag van RoonDepartment of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, UMC, Utrecht, The Netherlands J.vanRoon@umcutrecht.nl.
University Medical Center Utrecht · NLErasmus MC · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess to what extent leflunomide (LEF) and hydroxychloroquine (HCQ) therapy in patients with primary Sjögren's syndrome (RepurpSS-I) targets type I IFN-associated responses and to study the potential of several interferon associated RNA-based and protein-based biomarkers to predict and monitor treatment.

methodsIn 21 patients treated with LEF/HCQ and 8 patients treated with placebo, blood was drawn at baseline, 8, 16 and 24 weeks. IFN-signatures based on RNA expression of five IFN-associated genes were quantified in circulating mononuclear cells and in whole blood. MxA protein levels were measured in whole blood, and protein levels of CXCL10 and Galectin-9 were quantified in serum. Differences between responders and non-responders were assessed and receiver operating characteristic analysis was used to determine the capacity of baseline expression and early changes (after 8 weeks of treatment) in biomarkers to predict treatment response at the clinical endpoint.

resultsIFN-signatures in peripheral blood mononuclear cell and whole blood decreased after 24 weeks of LEF/HCQ treatment, however, changes in IFN signatures only poorly correlated with changes in disease activity. In contrast to baseline IFN signatures, baseline protein concentrations of galectin-9 and decreases in circulating MxA and Galectin-9 were robustly associated with clinical response. Early changes in serum Galectin-9 best predicted clinical response at 24 weeks (area under the curve 0.90).

conclusionsLEF/HCQ combination therapy targets type-I IFN-associated proteins that are associated with strongly decreased B cell hyperactivity and disease activity. IFN-associated Galectin-9 is a promising biomarker for treatment prediction and monitoring in pSS patients treated with LEF/HCQ.

Indexed as

Interferon Type ISjogren's SyndromeBiomarkersHumansHydroxychloroquineLeflunomideLeukocytes, MononuclearProteinsRNABiomarkersHydroxychloroquineInterferon Type ILeflunomideProteinsRNAautoimmunityhydroxychloroquineSjogren's syndrometreatment

Identifiers

PMID37532471
PMCPMC10401261
OpenAlexW4385480723

What OpenQuestion holds

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LicenceCC BY-NC
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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.