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A new trauma frontier: Exploratory pilot study of platelet transcriptomics in trauma patients. | LitMetric

A new trauma frontier: Exploratory pilot study of platelet transcriptomics in trauma patients.

J Trauma Acute Care Surg

From the Department of Surgery (A.T.F., Y.A.S., Z.A.M., J.C., L.Z.K.), Department of Anesthesia (M.-C.L., F.M., C.M.V.B., N.M., R.J.B.), Zuckerberg San Francisco General Hospital and the University of California, San Francisco; and Bakar Computational Health Sciences Institute (R.A.C., K.M.K.), University of California, San Francisco, San Francisco, California.

Published: February 2022

AI Article Synopsis

  • - This study explores changes in the platelet transcriptome (the complete set of RNA transcripts) in trauma patients compared to healthy individuals, focusing on how platelet RNA splicing might differ after injury.
  • - Researchers collected platelet samples from 9 trauma patients and 5 healthy donors, utilizing deep RNA sequencing to analyze gene expression and alternative splicing, finding significant differences in RNA abundance and splicing events between the two groups.
  • - Results indicated that trauma patients display unique platelet RNA splicing signatures and coexpressed RNAs linked to platelet function, suggesting that these changes may affect how platelets respond post-injury and warrant further investigation.

Article Abstract

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 <0.001) in trauma patients compared with healthy donors. Unsupervised principal component analysis of these platelet RNA splicing signatures segregated trauma patients in two main clusters separate from healthy controls.

Conclusion: Our findings provide evidence of finetuning of the platelet transcriptome through differential alternative splicing of platelet RNA in trauma patients and that this finetuning may have relevance to downstream platelet signaling. Additional investigations of the trauma platelet transcriptome should be pursued to improve our understanding of the platelet functional responses to trauma on a molecular level.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781218PMC
http://dx.doi.org/10.1097/TA.0000000000003450DOI Listing

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