DNA methylation markers in peripheral blood for psoriatic arthritis

被引:12
作者
Deng, Min [1 ]
Su, Yuwen [1 ]
Wu, Ruifang [1 ]
Li, Siying [1 ]
Zhu, Yanshan [1 ]
Tang, Guishao [1 ]
Shi, Xiaoli [1 ]
Zhou, Tian [1 ]
Zhao, Ming [1 ,6 ]
Lu, Qianjin [2 ,3 ,4 ,5 ,7 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Dermatol, Changsha, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Inst Dermatol, Nanjing, Peoples R China
[3] Chinese Acad Med Sci, Key Lab Basic & Translat Res Immune Mediated Skin, Nanjing, Peoples R China
[4] Jiangsu Key Lab Mol Biol Skin Dis & STIs, Nanjing, Peoples R China
[5] Cent South Univ, Xiangya Hosp 2, Hunan Key Lab Med Epigen, Changsha, Peoples R China
[6] Cent South Univ, Xiangya Hosp 2, Dept Dermatol, Hunan Key Lab Med Epigen, 139 Renmin Middle Rd, Changsha 410011, Hunan, Peoples R China
[7] Chinese Acad Med Sci & Peking Union Med Coll, Inst Dermatol, Xuanwu Lake St, Nanjing 210042, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Psoriasis; Psoriatic arthritis; CpG methylation; Biomarkers; DISEASE; ASSOCIATION; CLASSIFICATION; PATHOGENESIS; PREVALENCE; BIOMARKER; CRITERIA;
D O I
10.1016/j.jdermsci.2022.11.001
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Background: The clinical manifestations of psoriatic arthritis (PsA) are highly heterogeneous and no reliable diagnostic biomarkers exist.Objective: We explored the role of DNA methylation CpG markers in the diagnosis of PsA.Methods: DNA methylation array was used to screen for differentially methylated sites (DMSs) in the dis-covery phase (PsA, n = 25; healthy controls [HCs], n = 19; psoriasis vulgaris [PsV], n = 20). In the validation phase, pyrosequencing was used to identify the DMSs in an expanded cohort (PsA, n = 60; HCs, n = 91; PsV, n = 48; rheumatoid arthritis [RA], n = 60). Logistic regression prediction models were established based on the identified DMSs for the diagnosis of PsA.Results: A total of 17 DMSs differentiating PsA and HCs as well as 11 DMSs differentiating PsA and PsV were screened in the discovery phase. A total of six DMSs (chr14: cg07940072, chr14: 38061320, chr9: cg15734589, chr6: cg12800266, chr3: cg12992827, chr6: cg24500972) differentiating PsA and HCs and two DMSs (chr12: cg16459382, chr2: cg16348668) differentiating PsA and PsV were identified using pyr-osequencing. Three logistic regression prediction models were established based on the identified DMSs, which distinguished PsA, RA, PsV, and HCs (P < 0.001). The models performed well in differentiating PsA from HCs, RA, and PsV (AUC: 0.858, 0.851, and 0.976, respectively).Conclusions: The models based on methylated CpG sites are useful for distinguishing patients with PsA from HCs and those with RA or PsV and are a highly sensitive and specific diagnostic biomarker for PsA.(c) 2022 Japanese Society for Investigative Dermatology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:39 / 47
页数:9
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