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Abstract Number: 1822

Analysis of Differential Activation of Lysophosphatidic Acid Regulated Genes in Diffuse and Limited Cutaneous Systemic Sclerosis

Medha Kanitkar1, Philip Yee2, Stefano Rodolfi1, Kristina Clark3, Voon Ong4 and Christopher Denton5, 1University College London, London, United Kingdom, 2UCL, London, United Kingdom, 3University of Oxford, Oxford, United Kingdom, 4University College London, London, England, United Kingdom, 5University College London, Northwood, United Kingdom

Meeting: ACR Convergence 2024

Keywords: Gene Expression, genomics, Scleroderma, Systemic sclerosis

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Session Information

Date: Monday, November 18, 2024

Title: Systemic Sclerosis & Related Disorders – Basic Science Poster II

Session Type: Poster Session C

Session Time: 10:30AM-12:30PM

Background/Purpose: Lysophosphatidic Acid (LPA) is a lipid mediator implicated in the pathogenesis of SSc and  idiopathic pulmonary fibrosis. Phase 2 clinical trials targeting this biological pathway show potential benefit with attenuation of downstream antifibrotic pathways through inhibition of LPA receptor 1 (LPAR1) or autotaxin. We have performed gene set enrichment analysis of skin biopsies from well characterised systemic sclerosis (SSc) patients and healthy controls using a validated 61 gene set published by the Broad Institute [https://www.gsea-msigdb.org/gsea/msigdb/index.jsp].

Methods: The BIOPSY cohort recruited 68 well characterised SSc patients prospectively from a large tertiary centre over the course of 24 months. 50 SSc skin biopsy samples were collected across disease subsets including early diffuse cutaneous (dc)SSc (n=21), limited cutaneous (lc)SSc (n=15) and established dcSSc (n=14) with 16 matched healthy controls. Bulk RNA sequencing was used to perform analyses including genome-wide transcriptome profiling of whole blood and whole skin samples. Statistical analyses was performed using Morpheus, Microsoft Excel, GraphPad Prism and STRING software packages.

Results: Differential gene expression analysis of the published LPA gene set was used as a reference to interrogate the BIOPSY cohort subsets of SSc compared to healthy controls. Top differentially expressed LPA regulated genes by statistical significance (p value < 0.05) were identified for each SSc subset. Supervised hierarchical clustering analysis revealed distinct gene signatures across the subsets of SSc (figure 1). Unpaired t tests using adjusted p value < 0.05 applied to each SSc subset revealed differential expression between dcSSc, lcSSc and healthy controls (table 1) of certain LPA regulated genes, e.g. PRKCD shown in figure 2.

Functional analysis revealed biological pathways including D5 Dopamine receptor binding (GNA12, GNA13), calcium-independent protein kinase C activity (PRKCD and PRKCE), LPA receptor activity (LPAR1, LPAR2, LPAR3, LPAR4) and G protein-coupled serotonin receptor binding (GNAO1, GNAZ, GNA11, GNA13). 4 genes (ADCY2, LPAR1, LYN and GNAO1) with greatest statistical significance were found across the SSc disease spectrum (early dcSSc, established dcSSc and lcSSc) suggesting novel targets for future therapies.

Conclusion: Our findings confirm differential activation of LPA regulated genes in early dcSSc, established dcSSc and lcSSc that are not present in healthy skin. There is significant heterogeneity across the SSc subsets in the downstream biological pathways mediated by LPA genes in SSc. Our findings support therapeutic targeting of this pathway in SSc and identify subgroups. This may inform future clinical study design and help understand differential treatment response.

Supporting image 1

Figure 1. Significance analysis of microarrays showing supervised hierarchical clustering by differentially activated LPA genes and subsets of SSc and healthy controls. The LPA signature gene set is highlighted on the right and shows differential clustering across the SSc subsets. Figure generated in Morpheus software by the Broad institute

Supporting image 2

Table 1. The greatest differential gene expression of LPA regulated genes across the diffuse SSc subsets (early, established and follow up diffuse cutaneous SSc) showing statistical significance compared to healthy controls. Adjusted p value (<0.05) and fold change is calculated for each gene

Supporting image 3

Figure 2. Scatter plot to show an example gene (PRKCD) differentially expressed in diffuse SSc, limited SSc and healthy control subsets. Data are plotted as mean with Standard Error of Mean, p value 0.0021 across all 3 subsets and R squared 0.1312 using ordinary one-way ANOVA test in GraphPad Prism


Disclosures: M. Kanitkar: None; P. Yee: None; S. Rodolfi: None; K. Clark: None; V. Ong: None; C. Denton: AbbVie, 2, 5, Acceleron, 2, Arxx Therapeutics, 2, 5, Bayer, 2, Boehringer Ingelheim, 2, 6, Certa, 2, Corbus, 2, CSL Behring, 2, 5, Galapagos, 2, GlaxoSmithKline, 2, 5, 6, Horizon, 2, 5, Inventiva, 2, Janssen, 2, 6, Lilly, 2, Novartis, 2, Roche, 2, Sanofi-Aventis, 2, Servier, 5, Zurabio, 2.

To cite this abstract in AMA style:

Kanitkar M, Yee P, Rodolfi S, Clark K, Ong V, Denton C. Analysis of Differential Activation of Lysophosphatidic Acid Regulated Genes in Diffuse and Limited Cutaneous Systemic Sclerosis [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/analysis-of-differential-activation-of-lysophosphatidic-acid-regulated-genes-in-diffuse-and-limited-cutaneous-systemic-sclerosis/. Accessed .
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