ArticleClinical and experimental immunology2025
Multiomics analysis of neutrophils in SLE: insights from adult and paediatric disease.
Article in Clinical and experimental immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Adventitial root extract of oplopanax elatus alleviates rheumatoid arthritis via inhibiting NETosis.Clinical rheumatology · 2026Article
- Metabolic Mechanisms of Neutrophil Phagocytic Activity in Patients with Widespread Purulent Peritonitis Bacterial Peritonitis Before and After Surgery.International journal of molecular sciences · 2026Article
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Authors and funding
11 authors.
Funding
Abstract
Neutrophils contribute to systemic lupus erythematosus (SLE) pathogenesis through reactive oxygen species and neutrophil extracellular trap (NET) production, and increased apoptotic debris which causes autoantibody production and immune complex formation. These processes drive inflammation and tissue damage. The aim of this study was to perform integrated transcriptomic and metabolomic analyses comparing paediatric and adult SLE neutrophils. Adult (aSLE) and paediatric (jSLE) patient and healthy adult (HA) and juvenile (HJ) control neutrophils were subjected to RNAseq and 1H-NMR metabolomics. Univariate, multivariate and multiomics enrichment analyses were conducted in R and with ingenuity pathway analysis (IPA). Transcriptomic analysis revealed distinct gene expression profiles. Adult and juvenile SLE neutrophils were enriched for genes regulating interferon (IFN)-α/β signalling, neutrophil degranulation and NET signalling pathways (IPA, adj.P-value <0.01). Gene Ontology analysis revealed enrichment in cell cycle and interferon signalling in aSLE and angiogenesis and tissue-specific development in jSLE. Metabolomic profiling identified distinct metabolic alterations in aSLE, with a greater complexity of metabolic changes in jSLE. Multivariate PLS-DA demonstrated group discrimination, particularly in aSLE (balanced accuracy 80%, sensitivity 80%). Variable importance in the projection >1 metabolites were enriched in taurine/hypotaurine and amino acid metabolism in aSLE. Integrating transcriptomic and metabolomic data strengthened IFN-α/β signalling, neutrophil degranulation and NET signalling (adj. P < 0.001). Additional metabolic pathways uniquely down-regulated in aSLE included glutamate and glutamine metabolism, nucleotide biosynthesis and tryptophan catabolism (adj.P< 0.01). In summary, neutrophils from SLE patients, especially in jSLE, displayed complex transcriptomic and metabolic profiles, with aberrant IFN responses and neutrophil activation.
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