Evidence map›Paper›PMID 41494737›Full record

ArticleRMD open2026

Sjögren's disease metabolome reveals biomarker signatures to characterise patients and assess disease activity.

Madeleine Suffiotti, Lukas Tanner, Lukasz Kozera, Agata Sebastian, André van Maurik, Daniel Strasser

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In one paragraph

Article in RMD open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Madeleine SuffiottiIdorsia Pharmaceuticals Ltd, Allschwil, Switzerland.
Lukas TannerIdorsia Pharmaceuticals Ltd, Allschwil, Switzerland.
Lukasz KozeraŁukasiewicz Research Network - PORT Polish Center for Technology Development, Wrocław, Poland.
Agata SebastianDepartment and Clinic of Rheumatology and Internal Medicine, Wroclaw Medical University, Wrocław, Lower Silesian Voivodeship, Poland.
André van MaurikClinical Pharmacology and Experimental Medicine, GlaxoSmithKline Research and Development, Stevenage, UK.
Daniel StrasserIdorsia Pharmaceuticals Ltd, Allschwil, Switzerland daniel.stefan.strasser@gmail.com.ORCID 0000-0002-0097-1937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSjögren's disease (SjD) is a chronic systemic autoimmune disease with heterogeneous glandular and extraglandular manifestations. Although aetiology and pathogenesis of SjD remains elusive, emergence of autoreactive T and B lymphocytes is crucial in disease development. In this study, the metabolome of patients with SjD was characterised to improve disease understanding and to identify biomarkers as tools to aid drug development.

methodThe metabolome was investigated in saliva, tears and plasma samples from two independent cohorts from Poland (PL) and the UK using a mass spectrometry screening platform with 4500 reference metabolites. The PL cohort included 30 healthy subjects and 32 patients with SjD. The UK cohort encompassed longitudinal samples from 13 healthy subjects and 12 patients with SjD.

resultsPatient heterogeneity was reflected in the metabolome across all three matrices (plasma, saliva and tears) with consistent disturbances in the amino acid metabolism and transport pathway. A biomarker signature was developed using both cohorts, which allowed to characterise patients with milder and more severe disease activity. The relevance of the biomarker signature was supported by the presence of metabolites linked to pathways such as gamma-glutamyl cycle, pyrimidine metabolism and sex steroid hormones, which have previously been described to be deregulated in patients with SjD and other autoimmune diseases.

conclusionA plasma metabolome biomarker signature was developed that can be implemented in clinical studies by simple blood collection. The biomarker signature allows to characterise disease activity of patients with SjD at baseline and provides a basis for future studies to investigate its potential utility in monitoring therapeutic intervention.

Indexed as

BiomarkersMetabolomeSjogren's SyndromeAdultAgedFemaleHumansMaleMetabolomicsMiddle AgedPolandSalivaTearsBiomarkersautoimmune diseasesbiomarkersSjogren's syndrome

Identifiers

PMID41494737
PMCPMC12778217

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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.