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Results for “miR-126”

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PubMed2018

Long non-coding RNA metallothionein 1 pseudogene 3 promotes p2y12 expression by sponging miR-126 to activate platelet in diabetic animal model.

Platelet hyperaggregation and hypercoagulation are associated with increase of thrombogenic risk, especially in patients with type 2 diabetes (T2D). High activity of P2Y12 receptor is found in T2D patients, exposing such patients to a prothrombotic condition. P2Y12 is a promising target for antiplatelet, but due to P2Y12 receptor constitutive activation, the clinical practical phenomena such as "clopidogrel resistance" are commonly occurring. In this study, we investigate the role of lncRNA on platelet activation. By lncRNA array, we screened thousands of differentially expressed lncRNA in megakaryocytes from T2D patients and confirmed that lncRNA metallothionein 1 pseudogene 3 (MT1P3) was significantly upregulated in megakaryocytes from T2D patients than in healthy controls. And we further investigate the biofunction of MT1P3 on platelet activation and the regulatory mechanism on p2y12. MT1P3 was positively correlated with p2y12 mRNA levels and promoted p2y12 expression by sponging miR-126. Knockdown of MT1P3 by siRNA reduced p2y12 expression, inhibiting platelet activation and aggregation in diabetes animal model. In conclusion, our findings identify MT1P3 as a key regulator in platelet activation by increasing p2y12 expression through sponging miR-126 under T2D condition. These findings may provide a new insight for managing platelet hyperactivity-related diseases.

Animals↗

PubMed2026

Systematic review and meta-analysis of circulating microRNAs in dengue infection: biomarkers, pathogenesis, and clinical implications.

Dengue infection is a mosquito-borne disease that can cause mild illness or severe haemorrhagic fever. Predictive biomarkers for severe cases, especially those with bleeding manifestations or plasma leakage, are currently lacking. This systematic review and meta-analysis synthesises findings from studies on circulating miRNAs in dengue infection, sourced from PubMed, Scopus, Science Direct, and Web of Science, with quality assessed by the Newcastle-Ottawa Scale (PROSPERO: CRD42024521685). Quantitative meta-analyses were conducted using RStudio to evaluate diagnostic Area Under the Curve (AUC) metrics across five eligible studies and Standardised Mean Differences (SMD) for differential miRNA expression. Key miRNAs, such as miR-146a, miR-150, miR-378, miR-21-5p, and miR-1246, were found to regulate immune responses, inflammation, and viral replication. Meta-analysis demonstrated high overall diagnostic accuracy for circulating miRNAs, with individual reported AUC values ranging from 0.79 to 1.00; however, substantial statistical heterogeneity was observed across pooled metrics (I-squared exceeding 89%). SMD analysis highlighted significant upregulation of acute inflammatory drivers, including miR-21-5p (SMD = 4.67) and miR-450b-5p (SMD = 6.76), alongside marked downregulation of endothelial-protective markers such as miR-126-3p (SMD = -1.31). Rather than viewing dysregulated microRNAs as a uniform class of clinical tools, this review highlights that candidate microRNAs span distinct translational tiers. Recognising these validation levels alongside pre-analytical and biological heterogeneity is essential for prioritising the most viable microRNA candidates for future prospective clinical translation and targeted therapies in dengue management.

Humans↗