Evidence map›Paper›PMID 40410297›Full record

ArticleScientific reports2025

Correlation analysis of circulating PCDH17 DNA methylation changes with rheumatoid arthritis patients.

Fuyu Zhao, Mi Zhou, Jia Liu, Cen Chang, Ping Jiang, Kai Wei, Jianan Zhao, Yu Shan, Yixin Zheng, Yiming Shi and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Fuyu Zhao *Department of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Mi Zhou *Department of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Jia Liu *Department of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Cen ChangDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Ping JiangDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Kai WeiDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Jianan ZhaoDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Yu ShanDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Yixin ZhengDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Yiming ShiDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Yunshen LiDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Yuejuan ZhengThe Research Center for Traditional Chinese Medicine, Shanghai Institute of Infectious Diseases and Biosecurity, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Qianqian LiDepartment of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 145 Middle Shandong Rd, Shanghai, 200001, P. R. China.
Lei WangDepartment of Rheumatology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional, Chinese Medicine, Shanghai, 200082, P. R. China.
Huanru QuDepartment of Rheumatology, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Longhua, 200032, P. R. China.
Liangjing LvDepartment of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 145 Middle Shandong Rd, Shanghai, 200001, P. R. China.
Shicheng GuoDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China.
Xinliang LvTraditional Chinese Medicine Hospital of Inner Mongolia Autonomous Region, Hohhot, 010020, Inner Mongolia Autonomous Region, P.R. China. lxl230081@sina.com.
Qi ZhuDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China. zhuqigh540@126.com.
Dongyi HeDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Guanghua, China. dongyihe@medmail.com.cn.

Funding

Shanghai Municipal Health Commission 202340274the National Natural Science Funds of China 82074234
6 · The paper itself

Abstract

Analyze the correlation between the DNA methylation levels of Protocadherin 17 (PCDH17) cg03865667 and rheumatoid arthritis (RA), and evaluate its potential as a biomarker for diagnosing RA. Peripheral blood samples were collected from a cohort of 370 individuals, comprising patients diagnosed with RA, ankylosing spondylitis (AS), psoriatic arthritis (PsA), gout, systemic lupus erythematosus (SLE), dermatomyositis (DM), primary Sjögren's syndrome (SS), and healthy controls (HC), for subsequent analysis.DNA methylation sequencing techniques were employed to evaluate the methylation levels of the PCDH17 cg03865667 locus. Relative to the HC, AS, and SS groups, PCDH17 cg03865667 was significantly downregulated in RA patients (P = 0.0403; p = 0.0290; p = 0.044). Compared to the HC group, the methylation levels at CpG sites 57,631,544, 57,631,571, and 57,631,581 were significantly downregulated in RA patients (p = 0.0078; p = 0.0123; p = 0.0309). For the TTCCTT and TTTCTT haplotypes, methylation levels were significantly lower in RA patients than in HC (p = 0.0188; p = 0.0053), particularly for the TTTCTT haplotype. Significant differences were observed between the CCP(-) RF(-) group, the CCP(+) / RF(+) group, and the HC group among the RA subgroups. No significant differences were found within the double-positive subgroup.The average methylation level of PCDH17 was negatively correlated with C-reactive protein (CRP) (r=-0.28, p = 6.9e-4). This study indicates that PCDH17 cg03865667 methylation may function as a potential biomarker for RA diagnosis. The subgroup analysis suggests that it may serve as a potential biomarker for diagnosing RA, indicating a capacity to enhance the diagnostic accuracy for seronegative RA and reduce the likelihood of missed and incorrect diagnoses.

Indexed as

Arthritis, RheumatoidCadherinsDNA MethylationAdultAgedBiomarkersCase-Control StudiesCpG IslandsFemaleHumansMaleMiddle AgedProtocadherinsBiomarkersCadherinsPCDH17 protein, humanProtocadherinsBiomarkerCorrelation analysisDNA methylationProtocadherin 17Rheumatoid arthritis

Identifiers

PMID40410297
PMCPMC12102364

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