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Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis

ABSTRACT: To identify the key coding genes underlying the biomarkers and pathways associated with giant cell arteritis (GCA), we performed in situ spatial profiling of molecules involved in the temporal arteries of GCA patients and controls

ORGANISM(S): Homo sapiens

PROVIDER: GSE237441 | GEO | 2023/08/24

REPOSITORIES: GEO

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Single-cell RNA sequencing on peripheral blood cells of patients with giant cell arteritis

Project description:Vasculitis is characterized by the inflammation of blood vessels. In patients with giant cell arteritis (GCA) large- to medium-sized vessels are affected. Single-cell RNA sequencing was performed on GCA patients and healthy controls (HC) to study the transcriptome of peripheral blood mononuclear cells of patients and controls.

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CTLA-4 pathway is instrumental in Giant Cell Arteritis

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Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis

Project description:Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis

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Methylome and transcriptome profiling of giant cell arteritis monocytes reveals novel pathways involved in disease pathogenesis and molecular response to glucocorticoids [array]

Project description:Giant cell arteritis (GCA) is a complex systemic vasculitis mediated by the interplay between both genetic and epigenetic factors. Monocytes are crucial players of the inflammation occurring in GCA. Therefore, characterization of the monocyte methylome and transcriptome in GCA would be helpful to better understand disease pathogenesis. We performed an integrated epigenome- and transcriptome-wide association study in CD14+ monocytes from 82 patients with GCA, cross-sectionally classified into three different clinical status (active, in remission with or without glucocorticoid (GC)-treatment), and 31 healthy controls. We identified a global methylation and gene expression dysregulation in GCA monocytes. Specifically, monocytes from active patients showed a more pro-inflammatory phenotype compared with healthy controls and patients in remission. In addition to inflammatory pathways known to be involved in active GCA, such as response to interleukin (IL)-6 and IL-1, we identified a significant number of chemokines, such as CCRL2, and integrins. Furthermore, monocytes from patients in remission with treatment showed downregulation of genes involved in inflammatory processes as well as overexpression of GC receptor-target genes. Finally, we identified changes in DNA methylation correlating with alterations in expression levels of genes with a potential role in GCA pathogenesis, such as ITGA7 and CD63, as well as genes mediating the molecular response to GC, including FKBP5, ETS2, ZBTB16, and ADAMTS2. Our results revealed profound alterations in the methylation and transcriptomic profiles of monocytes from GCA patients, uncovering novel genes and pathways involved in GCA pathogenesis and in the molecular response to GC treatment.

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Methylome and transcriptome profiling of giant cell arteritis monocytes reveals novel pathways involved in disease pathogenesis and molecular response to glucocorticoids [RNA-Seq]

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Use of high-plex data provides novel insights into the temporal artery processes of giant cell arteritis.

Project description:ObjectiveTo identify the key coding genes underlying the biomarkers and pathways associated with giant cell arteritis (GCA), we performed an in situ spatial profiling of molecules involved in the temporal arteries of GCA patients and controls. Furthermore, we performed pharmacogenomic network analysis to identify potential treatment targets.MethodsUsing human formalin-fixed paraffin-embedded temporal artery biopsy samples (GCA, n = 9; controls, n = 7), we performed a whole transcriptome analysis using the NanoString GeoMx Digital Spatial Profiler. In total, 59 regions of interest were selected in the intima, media, adventitia, and perivascular adipose tissue (PVAT). Differentially expressed genes (DEGs) (fold-change > 2 or < -2, p-adjusted < 0.01) were compared across each layer to build a spatial and pharmacogenomic network and to explore the pathophysiological mechanisms of GCA.ResultsMost of the transcriptome (12,076 genes) was upregulated in GCA arteries, compared to control arteries. Among the screened genes, 282, 227, 40, and 5 DEGs were identified in the intima, media, adventitia, and PVAT, respectively. Genes involved in the immune process and vascular remodeling were upregulated within GCA temporal arteries but differed across the arterial layers. The immune-related functions and vascular remodeling were limited to the intima and media.ConclusionThis study is the first to perform an in situ spatial profiling characterization of the molecules involved in GCA. The pharmacogenomic network analysis identified potential target genes for approved and novel immunotherapies.

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Project description:CD4 T cells in Giant Cell Arteritis (scRNA-Seq)