Evidence map›Paper›PMID 37291547›Full record

ArticleBMC medical genomics2023

Genome-wide DNA methylation profiling of CD4

Hanzhi Du, Qinghua Tang, Jian Yang, Bin Yan, Lihong Yang, Mengchang Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-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

4 citing papers in PubMed, 6 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

6 authors at 2 institutions in 1 country.

Hanzhi DuDepartment of Haematology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qinghua TangDepartment of Osteoporosis, Xi'an Jiaotong University Affiliated HongHui Hospital, Xi'an, China.
Jian YangDepartment of Clinical Research Centre, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Bin YanDepartment of Clinical Research Centre, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lihong YangDepartment of Clinical Research Centre, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Mengchang WangDepartment of Haematology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. swallow3956@sina.com.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation played a crucial role in the pathogenesis of immune thrombocytopenia (ITP). However, genome-wide DNA methylation analysis has not been applied thus far. The present study aimed to provide the first DNA methylation profiling for ITP.

methodsPeripheral blood CD4

resultsThe DNA methylome profiling identified a total of 260 differentially methylated CpG sites mapping to 72 hypermethylated and 64 hypomethylated genes. These genes were mainly enriched in the actin nucleation of the Arp2/3 complex, vesicle transport, histone H3-K36 demethylation, Th1 and Th2 cell differentiation, and Notch signaling pathway according to the GO and KEGG databases. The mRNA expression of CASP9, C1orf109, and AMD1 were significantly different.

conclusionsGiven the altered DNA methylation profiling of ITP, our study provides new insights into its genetic mechanism and suggests candidate biomarkers for the diagnosis and treatment of ITP.

Indexed as

DNA MethylationPurpura, Thrombocytopenic, IdiopathicAdultCD4-Positive T-LymphocytesCpG IslandsEpigenesis, GeneticGenomeHumansPhosphoproteinsT-LymphocytesAIRIM protein, humanPhosphoproteinsCD4+ T lymphocytesDNA methylationPrimary refractory ITP

Identifiers

PMID37291547
PMCPMC10251572
OpenAlexW4379967506

What OpenQuestion holds

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LicenceCC BY
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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.