Expression and Clinical Significance of the m6A RNA-Binding Proteins YTHDF2 in Peripheral Blood Mononuclear Cells From New-Onset Ankylosing Spondylitis

被引:11
|
作者
Luo, Qing [1 ]
Guo, Yongqin [2 ]
Xiao, Qiuyun [2 ]
Fu, Biqi [3 ]
Zhang, Lu [1 ]
Guo, Yang [1 ]
Huang, Zikun [1 ]
Li, Junming [1 ]
机构
[1] Nanchang Univ, Dept Clin Lab, Affiliated Hosp 1, Nanchang, Peoples R China
[2] Nanchang Univ, Med Coll, Nanchang, Peoples R China
[3] Nanchang Univ, Dept Rheumatol, Affiliated Hosp 1, Nanchang, Peoples R China
基金
中国国家自然科学基金;
关键词
N6-methyladenosine; YTHDF2; ankylosing spondylitis; diagnosis; predictive model; GENE-EXPRESSION; NUCLEAR-RNA; N6-METHYLADENOSINE; METABOLISM; ALKBH5;
D O I
10.3389/fmed.2022.922219
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This study has focused on determining the association of m6A methyltransferase [methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14), and Wilms tumor 1-associating protein (WTAP)], demethylase [fat mass and obesity-associated protein (FTO) and alkylation repair homolog protein 5 (ALKBH5)], RNA-binding proteins [YT521-B homology domains 2 (YTHDF2)], and ankylosing spondylitis (AS). A total of 154 specimens, containing 79 patients with new-onset AS and 75 healthy controls (HCs), participated in the study. The mRNA expressions of these m6A methyltransferase, demethylase, and RNA-binding protein in peripheral blood mononuclear cells (PBMCs) were detected by quantitative real-time PCR (qRT-PCR). The data showed that the mRNA expressions of YTHDF2 and ALKBH5 in PBMC from patients with new-onset AS were significantly decreased, and there was a positive correlation between RNA-binding proteins (YTHDF2) and demethylase (ALKBH5) in patients with new-onset AS. Logistic regression analysis demonstrated that the expression of YTHDF2 mRNA in PBMC is a risk factor of AS. Receiver operating characteristic (ROC) analysis of the area under the curve (AUC) for mRNA YTHDF2 in new-onset AS and HC was 0.692, with a cutoff value of <0.8724, a sensitivity of 67%, and a specificity of 63%. Moreover, we constructed a novel predictive model based on a combination of mRNA YTHDF2 and systemic immune-inflammation index (SII) for AS diagnosis (AUC = 0.865, sensitivity = 79.45%, specificity = 84.00%), and the predictive model correlated with the activity and severity of AS. This study indicates that the mRNA expression of YTHDF2 in PBMC may be involved in AS pathogenesis and a predictive model based on a combination of mRNA YTHDF2 and SII acts as a marker for diagnosis and progression of diseases.
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页数:10
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