Microarray analyses of peripheral blood cells identifies unique gene expression signature in psoriatic arthritis

被引:110
作者
Batliwalla, FM
Li, W
Ritchlin, CT
Xiao, X
Brenner, M
Laragione, T
Shao, T
Durham, R
Kemshetti, S
Schwarz, E
Coe, R
Kern, M
Baechler, EC
Behrens, TW
Gregersen, PK
Gulko, PS
机构
[1] Feinstein Inst Med Res, Robert S Baas Ctr Genom & Human Genet, Manhasset, NY 11030 USA
[2] Univ Rochester, Dept Med, Div Rheumatol, Rochester, NY USA
[3] N Shore LIJ Grad Sch Mol Med, Manhasset, NY USA
[4] Univ Minnesota, Dept Med, Minneapolis, MN 55455 USA
[5] N Shore Univ Hosp, Dept Med, Manhasset, NY USA
[6] NYU, Sch Med, Dept Med, New York, NY USA
关键词
D O I
10.2119/2006-00003.Gulko
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Psoriatic arthritis (PsA) is a chronic and erosive form of arthritis of unknown cause. We aimed to characterize the PsA phenotype using gene expression profiling and comparing if with healthy control subjects and patients rheumatoid arthritis (RA). Peripheral blood cells (PBCs) of 19 patients with active PsA and 19 age- and sex-matched control subjects were used in the analyses of PsA, with blood samples collected in PaxGene tubes. A significant alteration in the pattern of expression of 313 genes was noted in the PBCs of PsA patients on Affymetrix U133A arrays: 257 genes were expressed at reduced levels in PsA, and 56 genes were expressed at increased levels, compared with controls. Downregulated genes tended to cluster to certain chromosomal regions, including those containing the psoriasis susceptibility loci PSORS1 and PSORS2. Among the genes with the most significantly reduced expression were those involved in downregulation or suppression of innate and acquired immune responses, such as SIGIRR, STAT3, SHP1, IKBKB, IL-11RA, and TCF7, suggesting inappropriate control that favors proinflammatory responses. Several members of the MAPK signaling pathway and tumor suppressor genes showed reduced expression. Three proinflammatory genes - S100A8, S100A12, and thioredoxin - showed increased expression. Logistic regression and recursive partitioning analysis determined that one gene, nucleoporin 62 kDa, could correctly classify all controls and 94.7% of the PsA patients. Using a dataset of 48 RA samples for comparison, the combination of two genes, MAP3K3 followed by CACNA1S, was enough to correctly classify all RA and PsA patients. Thus, PBC gene expression profiling identified a gene expression signature that differentiated PsA from RA, and PsA from controls. Several novel genes were differentially expressed in PsA and may prove to be diagnostic biomarkers or serve as new targets for the development of therapies.
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收藏
页码:21 / 29
页数:9
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