| Title |
Microarray Analyses of Peripheral Blood Cells Identifies Unique Gene Expression Signature in Psoriatic Arthritis
|
|---|---|
| Published in |
Molecular Medicine, March 2006
|
| DOI | 10.2119/2006-00003.gulko |
| Pubmed ID | |
| Authors |
Franak M. Batliwalla, Wentian Li, Christopher T. Ritchlin, Xiangli Xiao, Max Brenner, Teresina Laragione, Tianmeng Shao, Robert Durham, Sunil Kemshetti, Edward Schwarz, Rodney Coe, Marlena Kern, Emily C. Baechler, Timothy W. Behrens, Peter K. Gregersen, Pércio S. Gulko |
| Abstract |
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 it 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 proin-flammatory 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 76 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 30% |
| Student > Ph. D. Student | 13 | 16% |
| Professor | 8 | 10% |
| Student > Master | 6 | 7% |
| Professor > Associate Professor | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 30% |
| Agricultural and Biological Sciences | 23 | 28% |
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2020.
All research outputs
#7,536,586
of 22,994,508 outputs
Outputs from Molecular Medicine
#367
of 1,145 outputs
Outputs of similar age
#23,657
of 67,250 outputs
Outputs of similar age from Molecular Medicine
#2
of 6 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 67,250 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.