A new trauma frontier: Exploratory pilot study of platelet transcriptomics in trauma patients
| Autor: | Alexander T. Fields, Nasima Mayer, Lucy Z. Kornblith, Joseph Cuschieri, Yale A. Santos, Zachary A. Matthay, Rachael A. Callcut, Kord M. Kober, Man-Cheung Lee, Cedric M.V. Bainton, Roland J. Bainton, Fahima Mayer |
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| Rok vydání: | 2021 |
| Předmět: |
Blood Platelets
Male Platelet Aggregation sequence analysis Clinical Sciences Pilot Projects Nursing wounds and injuries Cardiorespiratory Medicine and Haematology 2021 Aast Podium Papers Critical Care and Intensive Care Medicine Bioinformatics Transcriptome Clinical Research Gene expression Genetics Medicine Humans Platelet Gene medicine.diagnostic_test business.industry Gene Expression Profiling Alternative splicing Human Genome RNA Hematology Blood Coagulation Disorders Platelet Activation Emergency & Critical Care Medicine Thromboelastography Thrombelastography Good Health and Well Being RNA splicing ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Surgery Female business |
| Zdroj: | The Journal of Trauma and Acute Care Surgery The journal of trauma and acute care surgery, vol 92, iss 2 |
| ISSN: | 2163-0763 |
| Popis: | Supplemental digital content is available in the text. BACKGROUND The earliest measurable changes to postinjury platelet biology may be in the platelet transcriptome, as platelets are known to carry messenger ribonucleic acids (RNAs), and there is evidence in other inflammatory and infectious disease states of differential and alternative platelet RNA splicing in response to changing physiology. Thus, the aim of this exploratory pilot study was to examine the platelet transcriptome and platelet RNA splicing signatures in trauma patients compared with healthy donors. METHODS Preresuscitation platelets purified from trauma patients (n = 9) and healthy donors (n = 5) were assayed using deep RNA sequencing. Differential gene expression analysis, weighted gene coexpression network analysis, and differential alternative splicing analyses were performed. In parallel samples, platelet function was measured with platelet aggregometry, and clot formation was measured with thromboelastography. RESULTS Differential gene expression analysis identified 49 platelet RNAs to have differing abundance between trauma patients and healthy donors. Weighted gene coexpression network analysis identified coexpressed platelet RNAs that correlated with platelet aggregation. Differential alternative splicing analyses revealed 1,188 splicing events across 462 platelet RNAs that were highly statistically significant (false discovery rate |
| Databáze: | OpenAIRE |
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