Evidence map›Paper›PMID 41601685›Full record

ArticleFrontiers in immunology2025

Potential benefits of JAK inhibitor therapy in Blau syndrome: a case report.

Yu Wang, Xiao-Juan Yu, Zhuoli Zhang

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yu WangDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.
Xiao-Juan YuDepartment of Nephrology, Peking University First Hospital, Beijing, China.
Zhuoli ZhangDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blau syndrome is a rare autoinflammatory disorder caused by gain-of-function mutations in the NOD2 (nucleotide binding oligomerization domain containing 2 receptor) gene. Blau Syndrome presents with the diagnostic triad of chronic polyarticular synovitis, recurrent uveitis, and dermatitis. Notably, patients often develop systemic granulomatous inflammation affecting multiple organs, particularly the kidney and liver. Here we report a case of Blau syndrome presented with early-onset arthritis, uveitis, and renal involvement, evidenced by granulomas tubulointerstitial nephritis. Genetic testing showed a pathogenic p.R334W NOD2 mutation demonstrating constitutive NF-κB activation and excessive proinflammatory cytokine production. While initial corticosteroid therapy improved articular and ocular symptoms, renal dysfunction persisted until baricitinib (4 mg/day) initiation, which rapidly normalized renal function and permitted steroid tapering. Granulomatous inflammation in Blau syndrome is mediated by IFN-γ and sustained JAK-STAT activation, making JAK1/2 inhibition a rational therapeutic target. Although TNF-α inhibitors show efficacy in some cases, our experience supports baricitinib's potential for refractory disease, particularly with renal involvement. Baricitinib can offer distinct advantages over biologics and effectively downregulates inflammation in Blau syndrome.

Indexed as

ArthritisAzetidinesJanus Kinase InhibitorsPyrazolesSulfonamidesSynovitisUveitisHereditary Autoinflammatory DiseasesHumansMutationNod2 Signaling Adaptor ProteinPurinesSarcoidosisTreatment OutcomeAzetidinesbaricitinibJanus Kinase InhibitorsNOD2 protein, humanNod2 Signaling Adaptor ProteinPurinesPyrazolesSulfonamidesBlau syndromeJAK inhibitornephrologypathologyrare

Identifiers

PMID41601685
PMCPMC12832996

What OpenQuestion holds

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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.