Evidence map›Paper›PMID 41929488›Full record

ArticleFrontiers in immunology2026

Deciphering the interferon gene signature spectrum: association with the clinical heterogeneity of Sjögren's disease.

Ziyue Luo, Ai Chen, Yue Huang, Kaiyuan Zhang, Muzhi Chen, Xinchang Wang

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ziyue Luo *School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Ai Chen *Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yue Huang *Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Kaiyuan ZhangSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Muzhi ChenDepartment of Rheumatology, The Second Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinchang WangDepartment of Rheumatology, The Second Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to identify interferon (IFN)-related key genes in patients with Sjögren's Disease (SjD) and to elucidate their specific associations with the heterogeneous clinical phenotypes and laboratory parameters of the disease. Methods: Bioinformatics analyses, including differentially expressed gene (DEG) screening, weighted gene co-expression network analysis (WGCNA), and machine learning, were conducted on dataset GSE84844 to identify IFN-related key genes. Based on the EULAR Sjögren's syndrome disease activity index (ESSDAI), SjD patients with low, moderate, and high disease activity were enrolled, with 20 in each subgroup. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed on peripheral blood mononuclear cells (PBMCs) from the 60 SjD patients and 15 healthy controls (HCs). Expression levels were compared between SjD patients and HCs, across disease activity subgroups, and correlated with clinical phenotypes and laboratory indicators. Results: DEGs in SjD were significantly enriched in IFN-related signaling pathways. Five IFN-related hub genes were identified: CXCL10, DDX60L, IFIH1, JAK2, and NMI. qRT-PCR validation confirmed that all five genes were significantly upregulated in SjD patients compared to HCs ( Conclusion: This study identifies five IFN-related key genes (CXCL10, DDX60L, IFIH1, JAK2, and NMI) that are upregulated in SjD. Their expression patterns are not generalized markers of disease activity but are specifically linked to distinct clinical phenotypes and serological abnormalities. These findings provide novel mechanistic insights into the clinical heterogeneity of SjD and highlight CXCL10, JAK2, and IFIH1 as potential biomarkers for specific disease complications and promising candidates for targeted therapeutic strategies.

Indexed as

InterferonsSjogren's SyndromeTranscriptomeComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansInterferon-Induced Helicase, IFIH1MaleMiddle AgedPhenotypeSignal TransductionIFIH1 protein, humanInterferon-Induced Helicase, IFIH1Interferonsdisease activityheterogeneousinterferonSjögren’s diseasetranscriptomics

Identifiers

PMID41929488
PMCPMC13038951

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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.