Evidence map›Paper›PMID 35368875›Full record

ArticleOxidative medicine and cellular longevity2022

Epigenome-Wide Association Study Reveals Differential Methylation Sites and Association of Gene Expression Regulation with Ischemic Moyamoya Disease in Adults.

Shihao He, Xun Ye, Ran Duan, Yahui Zhao, Yanchang Wei, Yanru Wang, Ziqi Liu, Xiaokuan Hao, Xiaolin Chen, Qiang Hao and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 12 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Shihao HeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-2522-8656
Xun YeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-3789-5819
Ran DuanDepartment of Neurosurgery, Peking University International Hospital, Beijing 102206, China.ORCID https://orcid.org/0000-0003-1475-2193
Yahui ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-8309-2104
Yanchang WeiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-6412-5505
Yanru WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-8357-7926
Ziqi LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-7447-918X
Xiaokuan HaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-9150-5455
Xiaolin ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-6756-3391
Qiang HaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-7075-8237
Hao WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0001-8428-9494
Yuanli ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-3263-6797
Rong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 10070, China.ORCID https://orcid.org/0000-0002-0669-9321
Capital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association of DNA methylation with the pathogenesis of adult ischemic moyamoya disease (MMD) is unknown. Here, we investigated the genome-wide DNA methylation profiles in patients with MMD and identified the genes related to the pathogenesis of MMD. Methods: Whole blood samples were collected from 20 individuals, including 10 patients with ischemic moyamoya disease without any underlying disease and 10 healthy individuals. Genome-wide DNA methylation analysis was performed using Illumina 850K microarrays. Transcriptional correlation was verified using quantitative reverse transcription-polymerase chain reaction. In vitro experiments were used to analyze the association of functional defects with candidate epigenetic markers. Results: The genome-wide methylation level in the whole blood of adults with ischemic MMD was higher than that in the healthy individuals. In total, 759 methylation probes differed significantly between the case and control. The hypermethylated regions were mostly concentrated in the gene spacer regions. Among genes with the highest degree of the differential expression, KCNMA1 and GALNT2 were upregulated, whereas SOX6 and RBM33 were downregulated. Conclusions: This is the first study showing that the low expression of genes associated with epigenetic regulation, such as SOX6 and RBM33, may be related to vascular occlusion in MMD, whereas the overexpression of KCNMA1 and GALNT2 may be related to the vascular hyperplasia. The results suggest that DNA methylation was involved in the pathogenesis of MMD, and new pathogenic genes were proposed as biological markers.

Indexed as

EpigenomeMoyamoya DiseaseAdultBiomarkersDNA MethylationEpigenesis, GeneticHumansBiomarkers

Identifiers

PMID35368875
PMCPMC8970806
OpenAlexW4220941196

What OpenQuestion holds

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Registered trials

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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.