| Title |
PGK1, a glucose metabolism enzyme, may play an important role in rheumatoid arthritis
|
|---|---|
| Published in |
Inflammation Research, June 2016
|
| DOI | 10.1007/s00011-016-0965-7 |
| Pubmed ID | |
| Authors |
Yan Zhao, Xinfeng Yan, Xia Li, Yabing Zheng, Shufeng Li, Xiaotian Chang |
| Abstract |
Some studies have indicated that glucose metabolism plays an important role in the pathogenesis of rheumatoid arthritis (RA). This study aimed to find the novel genes affecting glucose metabolism in RA. Synovial tissues of collagen-induced arthritis (CIA) were analyzed with Rat Glucose Metabolism RT(2) Profiler™ PCR Array to screen those genes with special expressions in glucose metabolism. Real-time PCR, western blotting, and ELISA were used to confirm the result in synovial tissues and blood of human RA. Culture synovial fibroblast cells (RASF) was treated with siRNA to suppress expressions of the target genes. CCK-8 cell proliferation assay and two-compartment transwell system were performed to examine cell proliferation and cell migration of the treated RASF. Both PCR array and real-time PCR detected the up-regulation of ENO1, HK2, and PGK1 and the down-regulation of PCK1 and PDK4 in synovial tissues of CIA rats. Real-time PCR and western blotting detected the increased expression of ENO1 and PGK1 in RA synovial tissues. ELISA detected a high level of PGK1 in the blood of RA patients. Decreased cell proliferation and cell migration capabilities were significantly detected in RASF following treatment of anti-PGK1 siRNA. IL-1β and IFN-γ rather than TNF-α and IL-1α levels were significantly declined in supernatants of the treated RASF. PGK1, a glycolytic enzyme catalyzing the conversion of 3-phosphoglycerate into 2-phosphoglycerate, has increased expression in synovial tissues and blood of RA, which may be involved in pro-inflammation and synovial hyperplasia of the disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 26% |
| Student > Bachelor | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 26% |
| Medicine and Dentistry | 5 | 19% |
| Agricultural and Biological Sciences | 3 | 11% |
| Immunology and Microbiology | 2 | 7% |
| Neuroscience | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from Inflammation Research
#698
of 958 outputs
Outputs of similar age
#267,642
of 352,728 outputs
Outputs of similar age from Inflammation Research
#10
of 13 outputs
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