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Abstract Number: 1709

Sex Differences in Serum Proteomic Profiles of Males and Females with Psoriatic Arthritis

Steven Dang1, Xianwei Li2, Liqun Diao2, Joan Wither3, Igor Jurisica4, Vinod Chandran5 and Lihi Eder6, 1Women's College Hospital, Institute of Medical Science, University of Toronto, Toronto, ON, Canada, 2Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada, 3University Health Network, Toronto, ON, Canada, 4Departments of Medical Biophysics and Computer Science and Faculty of Dentistry, University of Toronto and Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia, Toronto, ON, Canada, 5University of Toronto, Toronto, ON, Canada, 6University of Toronto, Women’s College Hospital and Department of Medicine, Toronto, ON, Canada

Meeting: ACR Convergence 2024

Keywords: Biomarkers, gender, proteomics, Psoriatic arthritis

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Session Information

Date: Sunday, November 17, 2024

Title: Abstracts: SpA Including PsA – Basic Science

Session Type: Abstract Session

Session Time: 3:00PM-4:30PM

Background/Purpose: Psoriatic arthritis (PsA) affects males and females equally, but differences exist in the clinical presentation and treatment response. The biological mechanisms driving these differences are unknown. We aimed to identify sex-specific serum proteins and biological pathways in male vs. female patients with PsA compared to controls.

Methods: We analyzed 100 age- and sex-matched active PsA patients and 50 age- and sex-matched healthy controls using an aptamer-based assay to measure over 7,000 serum proteins. Differential analysis was conducted for PsA males vs. PsA females and PsA vs. controls overall and by sex using the Limma package in R. Differentially expressed proteins (DEPs) were identified using a false discovery rate p < 0.05 and a fold change >1.2. We used pathDIP to identify sex-specific enriched pathways from the DEPs among male vs. female PsA and constructed a protein-pathway network using NAViGaTOR. Additionally, we applied various supervised classifiers to identify protein biomarkers contributing to the differences between PsA and controls, including logistic regression with elastic net, linear discriminant analysis, support vector machine, and random forest using the caret package. Using a random forest and variable importance analysis, we report the protein biomarkers that contributed the most to discriminating PsA from controls for male and female patients separately.

Results: The differential analysis revealed a significantly higher number of sex-specific, unique DEPs in PsA males vs. controls (741) compared to PsA females vs. controls (31), and 200 proteins were shared in males and females with PsA compared to controls (Figure 1A-D). Several sex-specific pathways were identified among male vs. female PsA patients, such as Rho GTPase signaling, angiogenesis, focal adhesion, IL-18 signaling, neutrophil extracellular trap (NET) formation, Fc gamma R-mediated phagocytosis, platelet function, ErbB signaling, kit receptor signaling, phosphatidylinositol signaling, and epithelial-mesenchymal transition regulators (Figure 2). More proteins belonging to these pathways that were both sex- and PsA-specific proteins were found in males (10 proteins, e.g., SRC, LYN, PDE5A) than in females (1 protein, PPIF). Lastly, multi-protein biomarker classifiers for PsA status vs. control performed well among males and females (AUC > 0.9 for most classifiers; Figure 3). Random forest analysis identified several mutual proteins to males and females with PsA (e.g., macrophage migration inhibitory factor, C3b) and others that were male-specific (e.g., PI3KCA/PIK3R1, Nek7, IL-36 alpha), and female-specific (e.g., G1/S-specific cyclin E1, mitochondrial fumarate hydratase).

Conclusion: In this untargeted multi-protein analysis, we provide evidence of sex-related biological differences in PsA. More unique proteins and pathways were discovered in male than female PsA patients. These sex-specific pathways are related to immune cell function (e.g., NETosis, phagocytosis), cytokine signaling, and intracellular signaling (e.g., Rho GTPase signaling). These findings offer potential new targets for future sex-based research in PsA.

Supporting image 1

Figure 1: Sex-related differential analysis. Volcano plots (1A-C) show upregulated (green) and downregulated (red) differentially expressed proteins (DEPs) in male PsA vs. male controls (A); female PsA vs. female controls (B); male PsA vs. female PsA (C). A Venn diagram (D) highlights the number of unique and overlapping DEPs among male and female patients with PsA vs. controls.

Supporting image 2

Figure 2: Sex-specific protein-pathway network among patients with PsA. The figure depicts the pathway enrichment analysis results of differentially expressed proteins (DEPs) in male vs. female patients with PsA. Pathway names are bolded and green, and the nodes are colour-coded to represent the number of proteins in the pathway. The edge color depicts whether the protein was differentially expressed in the comparison by disease status and by sex.

Supporting image 3

Figure 3: Performance of multi-protein biomarker classifiers for PsA vs. controls. Discriminative ability of classifiers by AUC in male PsA vs. male controls (A) and female PsA vs. female controls (B). Variable importance analysis of proteins included in the random forest classifiers for males (C) and females (D) depicted as forest plot graphs. Confidence intervals that do not cross 0 indicate proteins significantly contributing to model discriminative ability after internal cross-validation. AUC, area under the curve; LDA, linear discriminant analysis; SVM, support vector machine; Tree, decision tree.


Disclosures: S. Dang: None; X. Li: None; L. Diao: None; J. Wither: AstraZeneca, 1, 2, Pfizer, 5; I. Jurisica: None; V. Chandran: AbbVie/Abbott, 1, 5, AstraZeneca, 12, Spousal employment, Bristol-Myers Squibb(BMS), 1, Eli Lilly, 1, Janssen, 1, Novartis, 1, UCB, 1; L. Eder: AbbVie, 2, 5, 6, Bristol-Myers Squibb (BMS), 2, Eli Lilly, 2, 5, Fresenius Kabi, 5, Johnson & Johnson, 2, 5, Novartis, 1, 5, Pfizer, 5, 6, UCB, 5, 6.

To cite this abstract in AMA style:

Dang S, Li X, Diao L, Wither J, Jurisica I, Chandran V, Eder L. Sex Differences in Serum Proteomic Profiles of Males and Females with Psoriatic Arthritis [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/sex-differences-in-serum-proteomic-profiles-of-males-and-females-with-psoriatic-arthritis/. Accessed .
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