Evidence map›Paper›PMID 36703984›Full record

ArticleFrontiers in immunology2022

DNA methylation change of HIPK3 in Chinese rheumatoid arthritis and its effect on inflammation.

Ping Jiang, Kai Wei, Lingxia Xu, Cen Chang, Runrun Zhang, Jianan Zhao, Yehua Jin, Linshuai Xu, Yiming Shi, Yi Qian and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Hypomethylation of the HumanArchives of Iranian medicine · 2026
    Article
  2. Review
  3. Article
  4. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
  5. Epigenomics · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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

15 authors at 5 institutions in 2 countries.

Ping JiangGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Kai WeiGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lingxia XuGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Cen ChangShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Runrun ZhangThe Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Jianan ZhaoGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yehua JinShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Linshuai XuShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Yiming ShiGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yi QianShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Songtao SunShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Shicheng GuoDepartment of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Rongsheng WangShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Yingying QinShanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.
Dongyi HeGuanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine · CNShanghai Innovative Research Center of Traditional Chinese Medicine · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CNUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Homeodomain-interacting protein kinase 3 (HIPK3) plays an important role in cell proliferation, apoptosis, and inflammation. Over-expression of HIPK3 in immune cells in rheumatoid arthritis (RA) has been reported. In this study, we investigated blood methylation levels and clinical characteristics of RA in a Chinese population. Methods: A total of 235 patients with RA, 30 with osteoarthritis (OA), and 30 matched healthy controls were recruited. The methylation status of seven CpGs in the differentially methylated region of HIPK3 (cg05501357) was measured using targeted methylation-sequencing technology. The association between methylation haplotypes and the overall methylation status of HIPK3 with clinical characteristics was assessed using generalized linear regression. Results: All seven CpGs showed hypomethylation status in RA blood compared with OA and normal individuals (overall p= 1.143×10 Conclusion: Circulating blood methylation levels in the protein region of HIPK3 can be utilized as a supportive diagnostic biomarker and CRP level indicator for RA.

Indexed as

Arthritis, RheumatoidOsteoarthritisDNA MethylationEast Asian PeopleHumansInflammationIntracellular Signaling Peptides and ProteinsProtein Serine-Threonine KinasesRheumatoid FactorHIPK3 protein, humanIntracellular Signaling Peptides and ProteinsProtein Serine-Threonine KinasesRheumatoid FactorDNA methylationHIPK3inflammationmethylation haplotypesrheumatoid arthritis

Identifiers

PMID36703984
PMCPMC9872787
OpenAlexW4315433157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.