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Abstract Number: 2501

Validation Of Gene Expression Biomarkers Of Psoriatic Arthritis

Fatima Abji1, Remy Pollock1, Fawnda Pellett2, Kun Liang3, Vinod Chandran2 and Dafna D. Gladman2, 1University of Toronto, Toronto Western Hospital, Toronto, ON, Canada, 2Division of Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, ON, Canada, 3Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Biomarkers and psoriatic arthritis, Gene Expression

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Session Information

Title: Spondyloarthropathies and Psoriatic Arthritis: Pathogenesis, Etiology, Animal Models II

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Psoriatic arthritis (PsA) is a seronegative immune mediated arthritis that develops in about a third of patients with cutaneous psoriasis (PsC). The cellular pathways which distinguish the skin and joint manifestations in PsA are poorly understood. Through microarray and qPCR array studies, we have identified several genes which are dysregulated in PsA. The goal of this study was to validate the expression of these genes and associated signaling pathways in a large cohort of patients.

Methods:

Total RNA was isolated from peripheral blood of PsA patients satisfying CASPAR criteria and PsC patients. All patients were Caucasian and were not receiving treatment with biological agents. Quantification of mRNA expression of 49 genes was completed using the Nanostring nCounter® system (NanoString Technologies). Fold change differences between PsA and PsC patients were determined from normalized results. Significance was determined by performing multivariate logistic regression analyses and controlling for clinical variables (FDR<0.05).

Results:

Gene expression was computed in 48 PsA patients (mean age 46 years, 52% males, psoriasis duration 17 years, PASI 7.5, active joint count 6.3) and 48 PsC patients (mean age 46 years, 50% males, psoriasis duration 17 years, PASI 4.9). Twenty-nine genes were found to be significantly altered (FDR < 0.05) in PsA patients compared to PsC patients (Table 1), including several genes linking the innate immune system and chromatin modification. Downstream signaling molecules in the toll like receptor pathway, such as CXCL10, EZR, MyD88, and CD14, were upregulated in PsA. SMARCA4 is a component of the BAF complex linked to chromatin modification upon TLR4 activation which was also over-expressed in our PsA cohort. Out of these genes, 21 genes were upregulated and 8 genes were downregulated. No significant differences in clinical covariates for any gene were found. Cluster analysis revealed 19 PsA patients that grouped together.

Conclusion:

We validated genes involved in the regulation and activation of signaling pathways of the innate immune system that were dysregulated in PsA compared to PsC patients. Future studies will focus on understanding how expression of these genes is linked to clinical variables and progression of PsA, and distinguish whether these genes can serve as biomarkers of PsA susceptibility in patients with PsC.

Table 1: Significantly altered genes (FDR<0.05) in PsA patients compared to PsC

 

Gene

Description

Fold Change

OR (95% CI)

FDR

TLR7

Toll-like receptor 7

1.62

4.03 (1.82, 8.90)

0.0008

CXCL10 (IP10)

Chemokine (C-X-C motif) ligand 10

1.45

1.46 (0.95, 2.24)

0.0420

PARP1

Poly (ADP-ribose) polymerase 1

1.41

2.91 (1.44, 5.88)

0.0028

XRCC6

X-ray repair complementing defective repair in Chinese hamster cells 6

1.36

5.23 (2.37, 11.58)

0.0004

SMARCA4

SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member 4

1.35

4.28 (2.03, 9.01)

0.0005

EZR

Ezrin

1.35

2.01 (1.07, 3.77)

0.0196

SYNCRIP

Synaptotagmin binding, cytoplasmic RNA interacting protein

1.34

4.10 (1.87, 9.03)

0.0007

EHMT2

Euchromatic histone-lysine N-methyltransferase 2

1.31

4.12 (1.95, 8.95)

0.0006

TICAM1 (TRIF)

Toll-like receptor adaptor molecule 1

1.31

3.36 (1.72, 6.53)

0.0006

SETD1A

SET domain containing 1A

1.31

2.28 (1.27, 4.09)

0.0049

RP11-94I2.2

NBPF11 neuroblastoma breakpoint family, member 11

1.30

2.33 (1.33, 4.10)

0.0028

IFNA1

Interferon, alpha 1

1.29

1.77 (1.02, 3.09)

0.0261

CD14

CD14 molecule

1.27

2.16 (1.21, 3.86)

0.0072

PRMT6

Protein arginine methyltransferase 6

1.24

2.13 (1.15, 3.96)

0.0120

TRAM1

Translocation associated membrane protein 1

1.22

3.23 (1.60, 6.51)

0.0011

PUM1

Pumilio homolog 1 (Drosophila)

1.20

3.28 (1.66, 6.50)

0.0008

MSN

Moesin

1.16

2.02 (1.06, 3.85)

0.0201

IL15

Interleukin 15

1.16

1.81 (1.01, 3.26)

0.0278

SMYD3

SET and MYND domain containing 3

1.15

1.57 (0.96, 2.57)

0.0352

HAT1

Histone acetyltransferase 1

1.12

1.99 (1.08, 3.67)

0.0196

MyD88

Myeloid differentiation primary response 88

1.07

1.83 (0.95, 3.50)

0.0352

CXCL1

Chemokine (C-X-C motif) ligand 1 (melanoma growth stimulating activity, alpha)

0.61

0.27 (0.13, 0.54)

0.0006

LY96 (MD2)

Lymphocyte antigen 96

0.69

0.23 (0.11, 0.48)

0.0005

BCL2A1

BCL2-related protein A1

0.73

0.24 (0.11, 0.52)

0.0006

CD58

CD58 molecule

0.77

0.24 (0.12, 0.48)

0.0004

CLEC2B

C-type lectin domain family 2, member B

0.79

0.40 (0.22, 0.74)

0.0028

N2N

NOTCH2NL notch 2 N-terminal like

0.80

0.35 (0.19, 0.64)

0.0009

TLR2

Toll-like receptor 2

0.88

0.59 (0.33, 1.05)

0.0352

SETD2

SET domain containing 2

0.92

0.62 (0.38, 1.01)

0.0317


Disclosure:

F. Abji,
None;

R. Pollock,
None;

F. Pellett,
None;

K. Liang,
None;

V. Chandran,
None;

D. D. Gladman,
None.

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