Evidence map›Paper›PMID 41993165›Full record

ReviewFrontiers in immunology2026

Research advancements in DNA methylation pertaining to ankylosing spondylitis.

Ruibo Xia, Zhihao Qiu, Shuting Kong, Yuhui Ning, Wenhui Zhu, Kepeng Yang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ruibo XiaThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Zhihao QiuThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shuting KongThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yuhui NingThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Wenhui ZhuThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Kepeng YangThe Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankylosing spondylitis (AS) is a persistent autoimmune disorder marked by inflammation of the spine and sacroiliac joints, along with atypical bone development. In recent years, DNA methylation, a significant epigenetic modification, has become a pivotal element affecting AS pathogenesis, disease progression, and clinical diagnosis. This review summarizes what we know so far about abnormal DNA methylation patterns in AS-related genes like DKK1, ERAP1, PDCD1, FOXO1/3a, LGR6, and IRF5, as well as how these patterns affect gene expression. It examines the interaction between DNA methylation and essential pathological processes such as inflammatory responses, immune regulation, and bone metabolism. Additionally, the prospective utilization of DNA methylation as a biomarker for the diagnosis and prognosis of AS is analyzed. Finally, we talk about new ways to treat AS that focus on DNA methylation mechanisms. This review seeks to amalgamate recent methylome and transcriptome studies to establish a comprehensive theoretical framework and delineate future research directions aimed at elucidating epigenetic mechanisms in AS and promoting clinical translation.

Indexed as

DNA MethylationEpigenesis, GeneticSpondylitis, AnkylosingAnimalsBiomarkersGene Expression RegulationHumansBiomarkersankylosing spondylitisbiomarkersbone metabolismDNA methylationepigeneticsgene expressionimmune regulation

Identifiers

PMID41993165
PMCPMC13079345

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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.