# Loss of miRNA-Mediated VEGFA Regulation by SNP-Induced Impairment: A Bioinformatic Analysis in Diabetic Complications

**Authors:** Raquel Freitas, Stela Felipe, Christina Pacheco, Emmanuelle Faria, Jonathan Martins, Jefferson Fortes, Denner Silva, Paulo Oliveira, Vania Ceccatto

PMC · DOI: 10.3390/biomedicines13051192 · Biomedicines · 2025-05-14

## TL;DR

This study identifies a genetic variant that may impair miRNA regulation of VEGFA, potentially increasing the risk of diabetic complications.

## Contribution

The study identifies a specific SNP (rs371699284) in hsa-miR-654-3p that may impair VEGFA regulation, contributing to diabetic complications.

## Key findings

- The SNP rs371699284 in hsa-miR-654-3p was found to potentially reduce VEGFA silencing efficiency.
- This SNP is associated with increased susceptibility to diabetic microvascular and macrovascular complications.

## Abstract

Background/Objectives: MicroRNAs (miRNAs) are molecules involved in biological regulation processes, including type 2 diabetes and its complications development. Single nucleotide polymorphisms (SNPs) can alter miRNA mechanisms, resulting in loss or gain effects. VEGFA is recognized for its role in angiogenesis. However, its overexpression can lead to deleterious effects, such as disorganized and inefficient vasculature. Under hyperglycemic conditions, VEGFA expression seems to increase, which may contribute to the development of microvascular and macrovascular diabetic complications. Several miRNAs are associated with VEGFA regulation and seem to act in the prevention of dysregulated expression. This study aimed to investigate SNPs in miRNA regions related to the loss effect in VEGFA regulation, examining their frequency and potential physiological effects in the development of diabetic complications. Methods: VEGFA-targeting miRNAs were identified using the R package multimiR, with validated and predicted results. Tissue expression analysis and SNP search were data-mined with Python 3 for miRNASNP-v3 SNP raw databases. Allele frequencies were obtained from dbSNP. The miRNA–mRNA interaction comparison was obtained in the miRmap tool through Python 3. MalaCards were used to infer physiological disease association. Results: The variant rs371699284 was selected in hsa-miR-654-3p among 103 potential VEGFA-targeting miRNAs. This selected SNP demonstrated promising results in bioinformatics predictions, tissue-specific expression, and population frequency, highlighting its potential role in miRNA regulation and the resulting loss in VEGFA-silencing efficiency. Conclusions: Our findings suggest that carriers of rs1238947970 may increase susceptibility to diabetic microvascular and macrovascular complications. Furthermore, in vitro and in silico studies are necessary to better understand these processes.

## Linked entities

- **Genes:** VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422]
- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}
- **Diseases:** type 2 diabetes (MESH:D003924), hyperglycemic (MESH:D006944), diabetic microvascular and macrovascular complications (OMIM:603933), Diabetic Complications (MESH:D048909)
- **Mutations:** rs371699284, rs1238947970

## Full text

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## Figures

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## References

84 references — full list in the complete paper: https://tomesphere.com/paper/PMC12109573/full.md

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Source: https://tomesphere.com/paper/PMC12109573