ArticleHuman genetics2016
New molecular insights into modulation of platelet reactivity in aspirin-treated patients using a network-based approach.
Article in Human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- MicroRNAs in Kawasaki disease: An update on diagnosis, therapy and monitoring.Frontiers in immunology · 2022Pooled it
- The zebrafish model tackles anti-P2Y12 variability in humans: a translational approach.Blood advances · 2026Article
- Mechanisms and recent advances in non-coding RNAs and RNA modifications in antiplatelet drug resistance.Frontiers in genetics · 2025Review
- Cardiovascular complications of diabetes: role of non-coding RNAs in the crosstalk between immune and cardiovascular systems.Cardiovascular diabetology · 2023Review
- The Novel Role of Noncoding RNAs in Modulating Platelet Function: Implications in Activation and Aggregation.International journal of molecular sciences · 2023Review
- A simplified machine learning model utilizing platelet-related genes for predicting poor prognosis in sepsis.Frontiers in immunology · 2023Article
- Heterogeneous data integration methods for patient similarity networks.Briefings in bioinformatics · 2022Review
- Molecular Proteomics and Signalling of Human Platelets in Health and Disease.International journal of molecular sciences · 2021Review
- miR-204-5p and Platelet Function Regulation: Insight into a Mechanism Mediated by CDC42 and GPIIbIIIa.Thrombosis and haemostasis · 2021Article
- An Ex Vivo and In Silico Study Providing Insights into the Interplay of Circulating miRNAs Level, Platelet Reactivity and Thrombin Generation: Looking beyond Traditional Pharmacogenetics.Journal of personalized medicine · 2021Article
- Methods to Investigate miRNA Function: Focus on Platelet Reactivity.Thrombosis and haemostasis · 2021Review
- Noncoding RNA Roles in Pharmacogenomic Responses to Aspirin: New Molecular Mechanisms for an Old Drug.BioMed research international · 2021Review
- MicroRNA as Potential Biomarkers of Platelet Function on Antiplatelet Therapy: A Review.Frontiers in physiology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Platelet reactivity (PR) is variable between individuals and modulates clinical outcome in cardiovascular (CV) patients treated with antiplatelet drugs. Although several data point to a genetic control of platelet reactivity, the genes contributing to the modulation of this phenotype are not clearly identified. Integration of data derived from high-throughput technologies may yield novel insights into the molecular mechanisms that govern platelet reactivity. The aim of this study is to identify candidate genes modulating platelet reactivity in aspirin-treated CV patients using an integrative network-based approach. Patients with extreme high (n = 6) or low PR (n = 6) were selected and data derived from quantitative proteomic of platelets and platelet sub-cellular fractions, as well as from transcriptomic analysis were integrated with a network biology approach. Two modules within the network containing 123 and 182 genes were identified. We then specifically assessed the level of miRNAs in these two groups of patients. Among the 12 miRNAs differentially expressed, 2 (miR-135a-5p and miR-204-5p) correlated with PR. The predicted targets of these miRNAs were mapped onto the network, allowing the identification of seven overlapping genes (THBS1, CDC42, CORO1C, SPTBN1, TPM3, GTPBP2, and MAPRE2), suggesting a synergistic effect of these two miRNAs on these predicted targets. Integration of several omics data sets allowed the identification of 2 candidate miRNAs and 7 candidate genes regulating platelet reactivity in aspirin-treated CV patients.
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Registered trials
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.