Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease

Autoinflammation of unknown origin remains amongst the most enigmatic of systemic autoinflammatory disorders (SAID), with systemic autoinflammatory symptoms in the absence of a molecular or clinical diagnosis with a recognized SAID. Here, we aim to understand the immunological process behind patients with autoinflammation of unknown origin. We collect samples from 36 patients manifesting recent disease activity across 30 European medical centers, and employ deep immunophenotyping and plasma proteomics to compare to 58 healthy controls and an additional demographically similar cohort comprising 92 SAID patients. Machine-learning approaches identify key immunological changes, including the upregulation of CD38 and HLA across T cell subsets and the upregulation of acute-phase plasma proteins in autoinflammation of unknown origin patients. The immunological traits of these previously poorly characterised patients partially phenocopy Still's disease presentation. Thus, this study identifies potential biomarkers and disease mediators in autoinflammation of unknown origin.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-04-01
DOI
https://doi.org/10.1038/s41467-026-70895-1
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease

Carine Wouters, S. Vanderschueren, Mathijs Willemsen, Gabriel Mazzucchelli et al.
Nature Communications
Autoimmune and Inflammatory Disorders Research
article

Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease

Carine Wouters, S. Vanderschueren, Mathijs Willemsen, Gabriel Mazzucchelli, Emna Chabaane, Dominique de Seny, Leoni Bücken, Teresa Prezzemolo, Patrick Matthys, Dominique Baiwir, Julika Neumann, Gaël Cobraiville, Christophe Poulet, Leana De Vuyst, Maximilien Fléron, Rafael Veiga, Stephanie Humblet-Baron, Adrian Liston, Bruno Fautrel
article en

Abstract

Autoinflammation of unknown origin remains amongst the most enigmatic of systemic autoinflammatory disorders (SAID), with systemic autoinflammatory symptoms in the absence of a molecular or clinical diagnosis with a recognized SAID. Here, we aim to understand the immunological process behind patients with autoinflammation of unknown origin. We collect samples from 36 patients manifesting recent disease activity across 30 European medical centers, and employ deep immunophenotyping and plasma proteomics to compare to 58 healthy controls and an additional demographically similar cohort comprising 92 SAID patients. Machine-learning approaches identify key immunological changes, including the upregulation of CD38 and HLA across T cell subsets and the upregulation of acute-phase plasma proteins in autoinflammation of unknown origin patients. The immunological traits of these previously poorly characterised patients partially phenocopy Still's disease presentation. Thus, this study identifies potential biomarkers and disease mediators in autoinflammation of unknown origin.

Nature Communications
Babraham Institute (GB), University of Liège (BE), Université Paris Cité (FR), University of Cambridge (GB), Universitair Ziekenhuis Leuven (BE), Sorbonne Université (FR), Centre Hospitalier Universitaire de Liège (BE), VIB-KU Leuven Center for Brain & Disease Research (BE), KU Leuven (BE)
Horizon 2020 Framework Programme
Good health and well-being
Openalex Percentile: Top 31%
Autoimmune and Inflammatory Disorders Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.