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Enregistrement W4413120893 · doi:10.1101/2025.08.06.668845

Decades-long elevation of interferon-α drives a Sjögren disease endotype: an interdisciplinary study

2025· preprint· en· W4413120893 sur OpenAlexfundno aff
Deborah Forbes, Ivana Jorgacevic, Jessica Tarn, Bastien Rioux, Kyle Thompson, Kilian Kleemann, Sarah McGlasson, John Casement, J. Berry, Patrick Müller, Hannah Eberle-Reece, Christa Haase, Brendan Conn, Louis Boon, Karina McDade, William Whiteley, Axel Roers, Wan‐Fai Ng, Rayk Behrendt, David Hunt

Notice bibliographique

RevuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Langueen
DomaineMedicine
ThématiqueSalivary Gland Disorders and Functions
Établissements canadiensnon disponible
Organismes subventionnairesMedical Research CouncilCanadian Institutes of Health ResearchUK Dementia Research InstituteDeutsche ForschungsgemeinschaftUniversity of EdinburghWellcome Trust
Mots-clésEndotypeImmunologyAutoantibodyBiobankMedicineDiseaseInterferonAutoimmunityAutoimmune diseaseImmune systemAntibodyInternal medicineBiologyBioinformatics

Résumé

récupéré en direct d'OpenAlex

SUMMARY BACKGROUND Mechanistic heterogeneity is a major obstacle to the development of effective treatment for Sjögren disease (SjD) and there is a pressing need to stratify SjD according to precision medicine principles. Aberrant activation of the type I interferon (IFN) pathway represents a leading candidate pathway, but a causal role of elevated IFN-α in driving a Sjögren disease endotype remains to be established. METHODS We used ultrasensitive single molecule ELISA, and an oligoprotein interferon signature score (derived from broad capture proteomics), to study the role of IFN-α in Sjögren disease. We analysed samples from the UK Primary Sjögren Syndrome Registry (UKPSSR, n=177) and UK Biobank Plasma Proteomics Project (n=47606 without Sjögren, n=257 with Sjögren, including 137 individuals sampled prior to diagnosis) to determine the timecourse and immune endotype associated with elevated IFN-α. To address causality we created a new transgenic mouse model of IFN-α overexpression to establish whether chronically elevated IFN-α drives this immune endotype. FINDINGS Oligoprotein interferon signatures can be detected at least 14 years prior to diagnosis of Sjögren disease in the UK Biobank-PPP. IFN-α concentrations are elevated in 60% of Sjögren disease patients in the UKPSSR. Individuals with elevated IFN-α display a distinct immunological endotype characterised by cytopenias, hypergammaglobulinaemia, multiple autoantibodies and autoimmunity against the Sjögren autoantigen TRIM21/Ro52. To address the key question of causal direction, we created a new mouse model of systemic chronic IFN-α elevation, in which Ifn α 4 is overexpressed by conventional dendritic cells. This model recapitulates key features of the endotype and can be partially reversed by IFNAR1 blockade. INTERPRETATION Elevation of IFN-α drives an immune endotype of Sjögren disease, originating over a decade prior to diagnosis. SjD patients with elevated IFN-α concentrations are broadly clinically similar to those with normal IFN-α concentrations, yet are immunologically distinct. This highlights the mechanistic heterogeneity of SjD and the need for immunological stratification along precision medicine principles, using high resolution biomarkers. As well as demonstrating causal direction, biological modelling shows that chronic IFN-α elevation over the lifecourse has the potential to establish persistent immune dysregulation which responds only partially to interferon receptor blockade. These findings provide insights into SjD and other “interferonopathic” rheumatological disorders. Research in context Evidence before this study We searched MEDLINE for “Sjögren’s Syndrome/Disease” and “interferon”, including the terms “subsets”, “sub-groups”, “phenotypes”, and “endotypes”, filtering by “clinical trial”, “stratification”, and “immune-mediated inflammatory”. We also included major review articles from noted experts. We identified reports of associations between IFN-α and SjD, usually using indirect or imprecise measures of IFN-α. None of these studies included prediagnostic samples and causal inference was limited. Added value of this study This study shows that IFN-α, when measured directly using ultrasensitive single molecule ELISA approaches (uniquely optimised to determine healthy control concentrations), is elevated in a subset of people with SjD with a specific immunological endotype. Analysis of prediagnostic proteomics shows this elevation can be detected up to 14 years before diagnosis. We show that IFN-α drives this endotype (as opposed to vice versa) by recapitulating key endotype features in a novel and unambiguous experimental mouse model of chronic IFN-α elevation. We also show that the pathogenic consequences of IFN-α elevation over long periods of time can only be partially reversed using IFNAR blockade. Implications of all the available evidence These data have important implications for future research, clinical practice, trial design, and therapeutic development. First, our findings provide clinical evidence, supported by unambiguous preclinical evidence, that decades-long elevated IFNα can cause and drive a SjD endotype – and accurately defines the level of heterogeneity. Secondly, we provide biomarkers which may be of use in stratifying clinical trial design and also for early identification of at-risk individuals. Thirdly we provide biological proof of principle that longstanding and potentially undiagnosed elevation of IFN-α can establish persistent immune dysregulation which may respond only partially to IFNAR blockade. Together these findings inform precision medicine approaches and future trial design.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,292
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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