Evidence map›Paper›PMID 40326247›Full record

ArticleDiabetes & vascular disease research

Bioinformatics analyses of potential microRNAs and their target genes in myocardial infarction patients with diabetes.

Fatemeh Mansouri, Mirhosein Seyed Mohammadzad

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Article in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Fatemeh MansouriDepartment of Genetics and Immunology, Faculty of Medicine, Urmia University of Medical Sciences, Iran.ORCID 0000-0002-5743-549X
Mirhosein Seyed MohammadzadDepartment of Cardiology, Seyedoshohada Hospital, Urmia University of Medical Sciences, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivePatients with diabetes are 3-5 times higher at risk for cardiovascular diseases and myocardial infarction (MI). There is a need to find miRNAs and other target genes to reduce mortality rates. The current study aims to find potential miRNAs and target genes among MI patients, MI patients with pre-diabetes (metformin non-users), and MI patients with diabetes (metformin users).MethodThe candidate miRNAs were identified by microarray profiling, and their differential expression was evaluated through real-time polymerase chain reaction (RT-PCR) in control and patient groups. The potential targets for miR-1 and miR-133a were retrieved from the TargetScan, miRWalk, and miRDB databases. The sensitivity and specificity of miRNAs were assessed using receiver operating characteristic (ROC) curve analyses.ResultsMicroarray profiling identified 16 miRNAs with significantly altered expression in all MI patient groups compared with healthy controls. According to this data, two miR-1 and miR-133a (with a high ratio) were selected for further verification. All patient groups exhibited a significant increase in the expression levels of miR-1 and miR-133a. Also, miR-1 and miR-133a levels were lower in metformin-user patients than in non-user patients (

Indexed as

Computational BiologyDiabetes MellitusMicroRNAsMyocardial InfarctionPrediabetic StateAgedCase-Control StudiesFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansHypoglycemic AgentsMaleMetforminMiddle AgedHypoglycemic AgentsMetforminMicroRNAsMIRN133 microRNA, humanMIRN1 microRNA, humanMiR-1MiR-133amyocardial infarctionpatients with diabetes

Identifiers

PMID40326247
PMCPMC12059454

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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.