Type 1 interferon signature and allograft inflammatory factor-1 contribute to refractoriness to TNF inhibition in ankylosing spondylitis
Woogil Song,
Eunyoung Emily Lee,
Seongwan Park,
Baekgyu Choi,
Min-Gang Kim,
Seo Yoon Ban,
Se Rim Choi,
Jeong Yeon Kim,
Seon Uk Kim,
Jong-Il Kim,
Eui-Cheol Shin,
Inkyung Jung (),
Jeong Seok Lee () and
Eun Young Lee ()
Additional contact information
Woogil Song: Korea Advanced Institute of Science and Technology (KAIST)
Eunyoung Emily Lee: Korea Institute of Radiological and Medical Sciences
Seongwan Park: Korea Advanced Institute of Science and Technology (KAIST)
Baekgyu Choi: Korea Advanced Institute of Science and Technology (KAIST)
Min-Gang Kim: Seoul National University College of Medicine
Seo Yoon Ban: Seoul National University College of Medicine
Se Rim Choi: Hanyang University Hospital for Rheumatic Diseases
Jeong Yeon Kim: Seoul National University College of Medicine
Seon Uk Kim: Seoul National University College of Medicine
Jong-Il Kim: Seoul National University College of Medicine
Eui-Cheol Shin: Korea Advanced Institute of Science and Technology (KAIST)
Inkyung Jung: Korea Advanced Institute of Science and Technology (KAIST)
Jeong Seok Lee: Korea Advanced Institute of Science and Technology (KAIST)
Eun Young Lee: Seoul National University College of Medicine
Nature Communications, 2025, vol. 16, issue 1, 1-18
Abstract:
Abstract Ankylosing spondylitis (AS) is a chronic inflammatory arthritis that primarily affects the enthesis and may culminate in bony ankylosis of the spine. Despite TNF inhibitor (TNFi) being foundational in managing active inflammation, 30-40% of patients with AS remain non-responsive. Through longitudinal and multi-omics profiling of peripheral blood mononuclear cells from TNFi-receiving patients with AS, here we reveal that elevated type I IFN signatures at baseline are associated with poor TNFi response, leading to a paradoxical enhancement of IFN signatures and Th17 responses following TNFi therapy. Among type I IFN-related genes, we identify and validate AIF-1 as a predictive biomarker reflecting the inherent IFN signature that differentiates responders from non-responders. AIF-1 also contributes to an inflammatory cycle by increasing IFNα receptor expression and Th17 responses. In summary, our findings advocate for a personalized approach to managing AS by considering individual variations in AIF-1 levels and IFN signatures.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-025-60445-6 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60445-6
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-025-60445-6
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().