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Increased SUMO-activating enzyme SAE1/UBA2 promotes glycolysis and pathogenic behavior of rheumatoid fibroblast-like synoviocytes
Cuicui Wang, Youjun Xiao, Minxi Lao, Jingnan Wang, Siqi Xu, Ruiru Li, Xuanxian Xu, Yu Kuang, Maohua Shi, Yaoyao Zou, Qingwen Wang, Liuqin Liang, Song Guo Zheng, Hanshi Xu
Cuicui Wang, Youjun Xiao, Minxi Lao, Jingnan Wang, Siqi Xu, Ruiru Li, Xuanxian Xu, Yu Kuang, Maohua Shi, Yaoyao Zou, Qingwen Wang, Liuqin Liang, Song Guo Zheng, Hanshi Xu
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Research Article Immunology

Increased SUMO-activating enzyme SAE1/UBA2 promotes glycolysis and pathogenic behavior of rheumatoid fibroblast-like synoviocytes

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Abstract

Fibroblast-like synoviocytes (FLSs) are critical to joint inflammation and destruction in rheumatoid arthritis (RA). Increased glycolysis in RA FLSs contributes to persistent joint damage. SUMOylation, a posttranslational modification of proteins, plays an important role in initiation and development of many diseases. However, the role of small ubiquitin-like modifier–activating (SUMO-activating) enzyme 1 (SAE1)/ubiquitin like modifier activating enzyme 2 (UBA2) in regulating the pathogenic FLS behaviors is unknown. Here, we found an increased expression of SAE1 and UBA2 in FLSs and synovial tissues from patients with RA. SAE1 or UBA2 knockdown by siRNA and treatment with GA, an inhibitor of SAE1/UBA2-mediated SUMOylation, resulted in reduced glycolysis, aggressive phenotype, and inflammation. SAE1/UBA2-mediated SUMOylation of pyruvate kinase M2 (PKM2) promoted its phosphorylation and nuclear translocation and decreased PK activity. Moreover, inhibition of PKM2 phosphorylation increased PK activity and suppressed glycolysis, aggressive phenotype, and inflammation. We further demonstrated that STAT5A mediated SUMOylated PKM2-induced glycolysis and biological behaviors. Interestingly, GA treatment attenuated the severity of arthritis in mice with collagen-induced arthritis and human TNF-α transgenic mice. These findings suggest that an increase in synovial SAE1/UBA2 may contribute to synovial glycolysis and joint inflammation in RA and that targeting SAE1/UBA2 may have therapeutic potential in patients with RA.

Authors

Cuicui Wang, Youjun Xiao, Minxi Lao, Jingnan Wang, Siqi Xu, Ruiru Li, Xuanxian Xu, Yu Kuang, Maohua Shi, Yaoyao Zou, Qingwen Wang, Liuqin Liang, Song Guo Zheng, Hanshi Xu

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Figure 5

STAT5A mediates SUMOylated PKM2-induced glycolysis and biological functions of RA FLSs.

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STAT5A mediates SUMOylated PKM2-induced glycolysis and biological functi...
(A) Heatmap with hierarchical clustering of differently expressed genes (P < 0.05) by RNA sequencing in GA-treated (G+T) or SKN-treated (S+T) versus DMSO-treated (D+T) RA FLSs from 3 patients. (B) Venn diagrams showing number of shared and distinct GA- or SKN-treated genes by RNA sequencing in RA FLSs. (C) Expression of STAT5A, AHRR, THAP6, and ARHGAP11A was validated by RT-qPCR. Ct values were normalized to β-actin. Data are presented as the mean ± SD of samples from 5 patients with RA. (D) Expression of STAT5A, AHRR, THAP6, and ARHGAP11A in RA FLSs and HC FLSs measured by RT-qPCR. Data show the mean ± SD of samples from 9 patients with RA and 10 HCs. (E–G) Effect of treatment with GA or SKN (E), SAE1/UBA2 knockdown, or PKM2 knockdown (F and G) on TNF-α–induced STAT5A expression measured by Western blot. Data show the mean ± SD of samples from 3 patients with RA. (H and I) Effect of STAT5A knockdown on migration and invasion of RA FLSs. RA FLSs were transfected with siRNAs for STAT5A (siSTAT5A-2, siSTAT5A-3) or siC. Migration (H) and invasion (I) were measured with a Boyden chamber. The migrated or invaded FLSs were stained violet using a Diff-Quik kit (left; original magnification, ×100). Data show the mean ± SD of samples from 3 patients with RA. (J) Effect of STAT5A knockdown on expression of IL-1β, IL-6, and IL-8. Cytokine expression was measured by RT-qPCR. Data show the mean ± SD of samples from 4 patients with RA. (K) Effect of STAT5A knockdown on lactate secretion, glucose uptake, and expression of LDHA, PDK1, and GLUT1. The data represent at least 4 independent experiments (mean ± SD). *P < 0.05 vs. siC or DMSO or HC; #P < 0.05 vs. TNF-α + siC or TNF-α + DMSO, Student’s t test (D) or 1-way ANOVA (other panels).

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