4.5 Article

Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus

Journal

BMC MEDICAL GENOMICS
Volume 15, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12920-022-01306-9

Keywords

Autoimmune disease; Systemic lupus erythematosus; Biomarker; Immunotherapy

Funding

  1. foundation from the Chinese National Key Technology RD Program [2021YFC2501303]
  2. Project for Construction of Key Platform, Shenyang, China [19-109-4-15]
  3. foundation from Clinical Research Center for Immune diseases of Shenyang, Liaoning, China [20-204-443]
  4. Program of the Distinguished Professor of Liaoning Province [28020]
  5. Major Social Development Projects of Liaoning, China [2020JH1/1030002]

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This study analyzed SLE expression data and identified modules associated with neutrophils. Two molecular subtypes of SLE were reclassified based on identified biomarkers, revealing significant differences in immunological characteristics and potential gene targets. The study also revealed associations between biomarkers and metabolic pathways, providing insights for immunotherapy.
Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women's health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases.

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