From multi-omics approaches to personalized medicine in myocardial infarction

Frontiers in Cardiovascular Medicine, Journal Year: 2023, Volume and Issue: 10

Published: Oct. 30, 2023

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, sudden death. Despite being research hotspot, the etiological mechanism of MI remains unclear. The emergence widespread use omics technologies, including genomics, transcriptomics, proteomics, metabolomics, other omics, have provided new opportunities for exploring molecular identifying large number biomarkers. However, single-omics approach has limitations in understanding complex biological pathways diseases. multi-omics reveal interaction network among molecules at various levels overcome approaches. This review focuses on studies MI, epigenomics, omics. exploration extended into domain integrative analysis, accompanied compilation diverse online resources, databases, tools conducive these investigations. Additionally, we discussed role prospects approaches personalized medicine, highlighting potential improving diagnosis, treatment, prognosis MI.

Language: Английский

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The diagnostic and prognostic value of serum miR-199a-5p combined with echocardiography in acute myocardial infarction

Journal of Cardiothoracic Surgery, Journal Year: 2025, Volume and Issue: 20(1)

Published: Jan. 7, 2025

Diagnosis and prognostic evaluation of acute myocardial infarction (AMI) are crucial for patients. The clinical significance serum miR-199a-5p combined with echocardiography in AMI was investigated to provide some reference treatment. study subjects were 90 patients 50 chest pain (control). All examined by recorded LVEDV, LVESV, LVEF. RT-qPCR performed detect the level. Pearson analysis used analyze correlation LVEF cTnI. diagnostic value assessed ROC curve. occurrence major adverse cardiovascular events (MACE) Kaplan-Meier curve Cox regression. Serum elevated AMI, positively correlated cTnI negatively combination enhanced sensitivity specificity diagnosis AMI. Patients high expression more likely develop MACE. improved prediction efficiency provided information.

Language: Английский

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Serum Extracellular Vesicle-derived microRNA Profiles in Patients with ST-segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

Cardiovascular Innovations and Applications, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Objective: In this study, we sought to determine the potential of extracellular vesicle (EV) microRNAs (miRNAs) serve as early diagnostic biomarkers for AMI. Method: Peripheral blood samples were collected from three patients with AMI and healthy individuals, serum EV total RNA was extracted. The miRNA differential expression profiles EVs obtained through next-generation sequencing combined bioinformatics analysis. Results: AMI, compared controls without 15 differentially expressed miRNAs (11 upregulated 4 downregulated) identified. GO analysis predicted 842 target genes. Enrichment revealed 639 genes involved in biological processes, 592 molecular function, 692 cellular components. KEGG indicated that protein processing endoplasmic reticulum pathway, P53 mRNA surveillance signaling pathway significantly correlated PPI network proteins 10 hub associated miRNAs. Conclusion: We identified whose pathway. Our results provide a reference use

Language: Английский

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Luminescence “on-off-on” sensing of acute myocardial infarction biomarker miRNA-208a based on copper nanoclusters-MoS2 FRET system

Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(3)

Published: Feb. 15, 2025

Language: Английский

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MicroRNAs in acute kidney injury

Clinica Chimica Acta, Journal Year: 2025, Volume and Issue: unknown, P. 120301 - 120301

Published: April 1, 2025

Language: Английский

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Genetic–epigenetic targets for PCOS-associated diabesity

Drug Discovery Today, Journal Year: 2025, Volume and Issue: 30(6), P. 104373 - 104373

Published: May 8, 2025

Language: Английский

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Integrative experimental validation of concomitant miRNAs and transcription factors with differentially expressed genes in acute myocardial infarction.

European Journal of Pharmacology, Journal Year: 2024, Volume and Issue: 971, P. 176540 - 176540

Published: March 27, 2024

Language: Английский

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Validating the temporal performance of genetic biomarkers in an animal model of recurrence/ non-recurrence myocardial infarction persuades by bioinformatics tools

European Journal of Pharmacology, Journal Year: 2024, Volume and Issue: 978, P. 176795 - 176795

Published: June 29, 2024

Language: Английский

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DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation

BMC Bioinformatics, Journal Year: 2024, Volume and Issue: 25(1)

Published: March 29, 2024

Abstract Background MicroRNA (miRNA) has been shown to play a key role in the occurrence and progression of diseases, making uncovering miRNA-disease associations vital for disease prevention therapy. However, traditional laboratory methods detecting these are slow, strenuous, expensive, uncertain. Although numerous advanced algorithms have emerged, it is still challenge develop more effective explore underlying associations. Results In study, we designed novel approach on basis deep autoencoder combined feature representation (DAE-CFR) predict possible We began by creating integrated similarity matrices miRNAs performing logistic function transformation, balancing positive negative samples with k -means clustering, constructing training samples. Then, was used extract low-dimensional from two kinds representations namely, original association information-based information-based. Next, resulting features each pair regression (LR) classifier infer all unknown interactions. Under five tenfold cross-validation (CV) frameworks, DAE-CFR not only outperformed six popular nine classifiers, but also demonstrated superior performance an additional dataset. Furthermore, case studies three diseases (myocardial infarction, hypertension stroke) confirmed validity practice. Conclusions achieved outstanding predicting can provide evidence inform biological experiments clinical

Language: Английский

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Drug Repurposing and Molecular Insights in the Fight Against Breast Cancer

Biomedical & Pharmacology Journal, Journal Year: 2024, Volume and Issue: 17(2), P. 831 - 861

Published: June 25, 2024

Breast Cancer (BC) is a complex disease with high incidence in developed countries. According to the World Health Organization (WHO), it accounted for 11.7% of all new cancer cases worldwide 2020, an estimated 2.3 million diagnosis every year. A 2.5% annual reduction mortality could prevent 2.5 deaths between 2020 and 2040. In current work systematic review was conducted drugs under clinical trials or approved treatment BC. It observed that many were repurposed BC over course time even though they originally some other disease. This called as Drug Repurposing. approach has gained significant attention recent years promising alternative traditional drug discovery, which often costly, time-consuming, failure rate. Thirteen be we dig deep into their molecular background reasons efficacies treatment. Molecular targets these human system predicted protein interaction networks analysed out genes responsible events. Few seen progression, BRCA1, BRCA2, PALB-2, ATM, TP53, PTEN, HER2/neu participate various biological pathways, such PI3K/Akt/mTOR ER processes tumor microenvironment, epithelial-mesenchymal transition, DNA damage response pathways. Mutations alterations pathways can lead development understanding roles help diagnostic therapeutic strategies. study offers in-silico perspective powerful tool find potentially effective by analysing mechanisms signalling involved progression.

Language: Английский

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