ArticleRMD open2024
Genes deregulated in giant cell arteritis by Nanostring nCounter gene expression profiling in temporal artery biopsies.
Article in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Normalization of nCounter Gene Expression Data Alters Molecular Diagnostics in Kidney Transplantation.Journal of the American Society of Nephrology : JASN · 2026Article
- Treatment strategies in giant cell arteritis and polymyalgia rheumatica: beyond glucocorticoids.Nature reviews. Rheumatology · 2026Review
- Genome-Wide DNA Methylation Study Reveals Specific Signatures in the Affected Arterial Tissue of Patients With Giant Cell Arteritis.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Increased expression of Toll-like receptors and associated alarmins in temporal arteries of patients with giant cell arteritis.Molecular medicine (Cambridge, Mass.) · 2025Article
- Uncovering the New Biology of Giant Cell Arteritis to Guide Therapeutic Strategies.Journal of clinical medicine · 2025Review
- Does tocilizumab eliminate inflammation in GCA? A cohort study on repeated temporal artery biopsies.RMD open · 2024Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify differentially expressed genes in temporal artery biopsies (TABs) from patients with giant cell arteritis (GCA) with different histological patterns of inflammation: transmural inflammation (TMI) and inflammation limited to adventitia (ILA), compared with normal TABs from patients without GCA.
methodsExpression of 770 immune-related genes was profiled with the NanoString nCounter PanCancer Immune Profiling Panel on formalin-fixed paraffin-embedded TABs from 42 GCA patients with TMI, 7 GCA patients with ILA and 7 non-GCA controls.
resultsUnsupervised clustering of the samples revealed two distinct groups: normal TABs and TABs with ILA in one group, 41/42 TABs with TMI in the other one. TABs with TMI showed 31 downregulated and 256 upregulated genes compared with normal TABs; they displayed 26 downregulated and 187 upregulated genes compared with TABs with ILA (>2.0 fold changes and adjusted p values <0.05). Gene expression in TABs with ILA resembled normal TABs although 38 genes exhibited >2.0 fold changes, but these changes lost statistical significance after Benjamini-Yekutieli correction. Genes encoding TNF superfamily members, immune checkpoints, chemokine and chemokine receptors, toll-like receptors, complement molecules, Fc receptors for IgG antibodies, signalling lymphocytic activation molecules, JAK3, STAT1 and STAT4 resulted upregulated in TMI.
conclusionsTABs with TMI had a distinct transcriptome compared with normal TABs and TABs with ILA. The few genes potentially deregulated in ILA were also deregulated in TMI. Gene profiling allowed to deepen the knowledge of GCA pathogenesis.
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