Evidence map›Paper›PMID 37324511›Full record

ArticleExperimental and therapeutic medicine2023

Genetic associations between miR‑200bT>C and miR‑495A>C polymorphisms and hypertension susceptibility.

Youngmi Choi, Seung-Ho Hong

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2023. 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
0.2field-weighted citation impact, top 32% 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

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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, 1 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Youngmi ChoiCreative Education Center, Jeju National University, Jeju 63294, Republic of Korea.
Seung-Ho HongDepartment of Science Education, Teachers College, Jeju National University, Jeju 63294, Republic of Korea.
Jeju National University · KRJeonju National University of Education · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although microRNA (miRNA)-mediated functions and gene expression regulation are involved in the susceptibility to vascular diseases, the potential effect of miRNA polymorphisms on the susceptibility of patients to hypertension (HTN) remains to be sufficiently elucidated. Therefore, the present study aimed to identify the potential association between miRNA (miR)-200bT>C (rs7549819) and miR-495A>C (rs2281611) polymorphisms, which may be implicated in stroke and vascular pathogenesis, and the susceptibility to HTN and relevant risk factors in a Korean cohort recruited from Jeju National University Hospital (Jeju, South Korea). Using an analysis of PCR-restriction fragment length polymorphism, genotype analysis was conducted to assess the frequency of miR-200bT>C and miR-495A>C gene polymorphisms in the HTN group (n=232) and the non-HTN healthy control group (n=247). The results showed significant differences in the genotype distributions of the miR-495A>C polymorphism between the HTN and control groups, specifically with the CC genotype and C allele. However, neither the miR-200bT>C nor the dominant and recessive models were found to be distributed differently between the two groups. Following analysis of the genotype combination of the single nucleotide polymorphisms, the TC/CC and CC/CC combined genotypes of the miR-200bT>C and miR-495A>C polymorphisms were observed to be associated with susceptibility to HTN. The haplotype results demonstrated that the allele combination frequency of haplotype C-A was significantly different between the two groups. The stratified analysis revealed that the miR-200b and miR-495 polymorphisms are associated with the risk of HTN, exhibiting differences in the levels of body-mass index (<28.12 kg/m

Indexed as

associationhypertensionmicroRNA-200bT>C rs7549819microRNA-495A>C rs2281611polymorphism

Identifiers

PMID37324511
PMCPMC10267559
OpenAlexW4378901378

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.