DNA methylation markers in peripheral blood for psoriatic arthritis

The clinical manifestations of psoriatic arthritis (PsA) are highly heterogeneous and no reliable diagnostic biomarkers exist. We explored the role of DNA methylation CpG markers in the diagnosis of PsA. DNA methylation array was used to screen for differentially methylated sites (DMSs) in the disco...

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Veröffentlicht in:Journal of dermatological science 2022-10, Vol.108 (1), p.39-47
Hauptverfasser: Deng, Min, Su, Yuwen, Wu, Ruifang, Li, Siying, Zhu, Yanshan, Tang, Guishao, Shi, Xiaoli, Zhou, Tian, Zhao, Ming, Lu, Qianjin
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container_end_page 47
container_issue 1
container_start_page 39
container_title Journal of dermatological science
container_volume 108
creator Deng, Min
Su, Yuwen
Wu, Ruifang
Li, Siying
Zhu, Yanshan
Tang, Guishao
Shi, Xiaoli
Zhou, Tian
Zhao, Ming
Lu, Qianjin
description The clinical manifestations of psoriatic arthritis (PsA) are highly heterogeneous and no reliable diagnostic biomarkers exist. We explored the role of DNA methylation CpG markers in the diagnosis of PsA. DNA methylation array was used to screen for differentially methylated sites (DMSs) in the discovery 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. 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 pyrosequencing. 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). 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. •DNA methylation markers distinguish psoriatic arthritis from psoriasis vulgaris.•DNA methylation plays a crucial role in psoriasis and psoriatic arthritis.•DNA methylation serves as a good biomarker for the diagnosis of psoriatic arthritis.
doi_str_mv 10.1016/j.jdermsci.2022.11.001
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We explored the role of DNA methylation CpG markers in the diagnosis of PsA. DNA methylation array was used to screen for differentially methylated sites (DMSs) in the discovery 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. 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 pyrosequencing. Three logistic regression prediction models were established based on the identified DMSs, which distinguished PsA, RA, PsV, and HCs (P &lt; 0.001). The models performed well in differentiating PsA from HCs, RA, and PsV (AUC: 0.858, 0.851, and 0.976, respectively). 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. •DNA methylation markers distinguish psoriatic arthritis from psoriasis vulgaris.•DNA methylation plays a crucial role in psoriasis and psoriatic arthritis.•DNA methylation serves as a good biomarker for the diagnosis of psoriatic arthritis.</description><identifier>ISSN: 0923-1811</identifier><identifier>EISSN: 1873-569X</identifier><identifier>DOI: 10.1016/j.jdermsci.2022.11.001</identifier><identifier>PMID: 36404219</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Arthritis, Psoriatic - diagnosis ; Arthritis, Psoriatic - genetics ; biomarkers ; CpG methylation ; DNA Methylation ; Humans ; Psoriasis ; psoriatic arthritis</subject><ispartof>Journal of dermatological science, 2022-10, Vol.108 (1), p.39-47</ispartof><rights>2022</rights><rights>Copyright © 2022 Japanese Society for Investigative Dermatology. 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Three logistic regression prediction models were established based on the identified DMSs, which distinguished PsA, RA, PsV, and HCs (P &lt; 0.001). The models performed well in differentiating PsA from HCs, RA, and PsV (AUC: 0.858, 0.851, and 0.976, respectively). 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subjects Arthritis, Psoriatic - diagnosis
Arthritis, Psoriatic - genetics
biomarkers
CpG methylation
DNA Methylation
Humans
Psoriasis
psoriatic arthritis
title DNA methylation markers in peripheral blood for psoriatic arthritis
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