Evidence map›Paper›PMID 34484198›Full record

ArticleFrontiers in immunology2021

Genome-Wide DNA Methylation Pattern in Whole Blood Associated With Primary Intracerebral Hemorrhage.

Yupeng Zhang, Hongyu Long, Sai Wang, Wenbiao Xiao, Meishan Xiong, Jianyi Liu, Lei Chen, Ruijuan Chen, Xueli Wei, Yi Shu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Genetics of intracerebral hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  3. Patient Blood Management (PBM) as a Pillar in Surgical Safety and Care.Revista do Colegio Brasileiro de Cirurgioes · 2026
    Article
  4. Review
  5. Article
  6. Loss of function inGenetics in medicine open · 2024
    Article
  7. Article
  8. Review
  9. Review
  10. Epigenetic mechanisms and potential therapeutic targets in stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Review
  11. Genetics and Epigenetics of Spontaneous Intracerebral Hemorrhage.International journal of molecular sciences · 2022
    Review
  12. Review
  13. DNA methylation marker to estimate ovarian cancer cell fraction.Medical oncology (Northwood, London, England) · 2022
    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

12 authors at 3 institutions in 1 country.

Yupeng ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Hongyu LongDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Sai WangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Wenbiao XiaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Meishan XiongDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Jianyi LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Lei ChenDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Ruijuan ChenDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, China.
Xueli WeiDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, China.
Yi ShuDepartment of Neurology, Second Xiangya Hospital, Central South University, Changsha, China.
Yi ZengDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, China.
Le ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary intracerebral hemorrhage (ICH) is a significant cause of morbidity and mortality throughout the world. ICH is a multifactorial disease that emerges from interactions among multiple genetic and environmental factors. DNA methylation plays an important role in the etiology of complex traits and diseases. We used the Illumina Infinium Human Methylation 850k BeadChip to detect changes in DNA methylation in peripheral blood samples from patients with ICH and healthy controls to explore DNA methylation patterns in ICH. Here, we compared genomic DNA methylation patterns in whole blood from ICH patients (n = 30) and controls (n = 34). The ICH and control groups showed significantly different DNA methylation patterns at 1530 sites (p-value < 5.92E-08), with 1377 hypermethylated sites and 153 hypomethylated sites in ICH patients compared to the methylation status in healthy controls. A total of 371 hypermethylated sites and 35 hypomethylated sites were in promoters, while 738 hypermethylated sites and 67 hypomethylated sites were in coding regions. Furthermore, the differentially methylated genes between ICH patients and controls were largely related to inflammatory pathways. Abnormalities in the DNA methylation pattern identified in the peripheral blood of ICH patients may play an important role in the development of ICH and warranted further investigation.

Indexed as

AdultAgedAsian PeopleBiomarkersCase-Control StudiesCerebral HemorrhageDNA MethylationFemaleGenome-Wide Association StudyHumansMaleMiddle AgedBiomarkersDNA methylationepigeneticsepigenome-wide association studyintracerebral hemorrhagestroke

Identifiers

PMID34484198
PMCPMC8414634
OpenAlexW3193963719

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.