Integrative Bioinformatics and Exploratory Experimental Validation of Expression Changes in miR-214-3p, miR-1b, miR-133b-3p, and Directionally Concordant mRNAs in a Rat Model of Acute Myocardial Infarction

Background and Objectives: Acute myocardial infarction (AMI) induces inflammatory, cell-death, and fibrotic responses. MicroRNAs modulate these processes by regulating specific mRNA targets, but the contribution of individual miRNA–mRNA axes remains incompletely defined. Materials and Methods: Transcriptomic datasets GSE35088 (mRNA) and GSE95855 (miRNA) were analyzed to identify differentially expressed mRNAs and miRNAs. Pooled predicted targets of upregulated miRNAs were intersected with upregulated mRNAs, and those of downregulated miRNAs with downregulated mRNAs, to prioritize directionally concordant candidate sets. The canonical inverse-direction intersections were computed for comparison. An isoproterenol-induced model of myocardial injury in male Wistar rats, with injury verified by creatine kinase-MB and troponin-I, was used for exploratory RT-qPCR. Results: The analysis yielded 143 differentially expressed mRNAs and 35 miRNAs. The same-direction intersection prioritized Fbn1, Col3a1, Hamp, and Cyp2e1, grouped by direction with the most strongly changed miRNAs: upregulated miR-214-3p and downregulated miR-1b and miR-133b-3p. Among these molecules, only Fbn1 has predicted interactions with these miRNAs in the multiMiR output, with miR-214-3p in the same direction and miR-133b-3p in the inverse direction. The canonical intersection identified 28 upregulated mRNAs as predicted targets of downregulated miRNAs, twelve of which, including Col3a1, are targets of the miR-29 family. RT-qPCR showed directionally concordant, statistically supported changes for miR-214-3p, miR-1b, miR-133b-3p, Col3a1, and Cyp2e1, reported as fold changes with 95% confidence intervals. Hamp and Fbn1 were not statistically supported, with intervals wide enough to include decreases as well as several-fold increases. Conclusions: The candidate sets reflect directional concordance, not demonstrated miRNA–target regulation. The upregulated set (miR-214-3p, Col3a1) and the downregulated set (miR-1b, miR-133b-3p, Cyp2e1) comprise molecules previously implicated in fibrotic and oxidative remodeling, while the canonical analysis nominates the miR-29 family for future testing. These molecules warrant evaluation in circulating samples and larger cohorts.

Authors

Institutions

Publication Details

Journal
Medicina
Published
2026-09-25
DOI
https://doi.org/10.3390/medicina62101860
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Integrative Bioinformatics and Exploratory Experimental Validation of Expression Changes in miR-214-3p, miR-1b, miR-133b-3p, and Directionally Concordant mRNAs in a Rat Model of Acute Myocardial Infarction

Bilge Eren Yamasan, Selçuk Korkmaz, Mustafa Yıldız
Medicina
MicroRNA in disease regulation
article

Integrative Bioinformatics and Exploratory Experimental Validation of Expression Changes in miR-214-3p, miR-1b, miR-133b-3p, and Directionally Concordant mRNAs in a Rat Model of Acute Myocardial Infarction

Bilge Eren Yamasan, Selçuk Korkmaz, Mustafa Yıldız
article en

Abstract

Background and Objectives: Acute myocardial infarction (AMI) induces inflammatory, cell-death, and fibrotic responses. MicroRNAs modulate these processes by regulating specific mRNA targets, but the contribution of individual miRNA–mRNA axes remains incompletely defined. Materials and Methods: Transcriptomic datasets GSE35088 (mRNA) and GSE95855 (miRNA) were analyzed to identify differentially expressed mRNAs and miRNAs. Pooled predicted targets of upregulated miRNAs were intersected with upregulated mRNAs, and those of downregulated miRNAs with downregulated mRNAs, to prioritize directionally concordant candidate sets. The canonical inverse-direction intersections were computed for comparison. An isoproterenol-induced model of myocardial injury in male Wistar rats, with injury verified by creatine kinase-MB and troponin-I, was used for exploratory RT-qPCR. Results: The analysis yielded 143 differentially expressed mRNAs and 35 miRNAs. The same-direction intersection prioritized Fbn1, Col3a1, Hamp, and Cyp2e1, grouped by direction with the most strongly changed miRNAs: upregulated miR-214-3p and downregulated miR-1b and miR-133b-3p. Among these molecules, only Fbn1 has predicted interactions with these miRNAs in the multiMiR output, with miR-214-3p in the same direction and miR-133b-3p in the inverse direction. The canonical intersection identified 28 upregulated mRNAs as predicted targets of downregulated miRNAs, twelve of which, including Col3a1, are targets of the miR-29 family. RT-qPCR showed directionally concordant, statistically supported changes for miR-214-3p, miR-1b, miR-133b-3p, Col3a1, and Cyp2e1, reported as fold changes with 95% confidence intervals. Hamp and Fbn1 were not statistically supported, with intervals wide enough to include decreases as well as several-fold increases. Conclusions: The candidate sets reflect directional concordance, not demonstrated miRNA–target regulation. The upregulated set (miR-214-3p, Col3a1) and the downregulated set (miR-1b, miR-133b-3p, Cyp2e1) comprise molecules previously implicated in fibrotic and oxidative remodeling, while the canonical analysis nominates the miR-29 family for future testing. These molecules warrant evaluation in circulating samples and larger cohorts.

MedicinaVol. 62(10)
Trakya University (TR)
Good health and well-being
Openalex Percentile: Top 15%
MicroRNA in disease regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.