| Literature DB >> 33512429 |
Nikos Kyritsis1,2,3, Abel Torres-Espín1,2,3, Patrick G Schupp2,4, J Russell Huie1,2,3, Austin Chou1,2,3, Xuan Duong-Fernandez1,2,3, Leigh H Thomas1,2,3, Rachel E Tsolinas1,2,3, Debra D Hemmerle1,2,3, Lisa U Pascual5, Vineeta Singh1,6, Jonathan Z Pan1,7, Jason F Talbott3,8, William D Whetstone9, John F Burke2, Anthony M DiGiorgio1,2,3, Philip R Weinstein2,6,10, Geoffrey T Manley1,2,3, Sanjay S Dhall1,2,3, Adam R Ferguson1,2,3,11, Michael C Oldham2,4, Jacqueline C Bresnahan1,2,3, Michael S Beattie1,2,3,11.
Abstract
Diagnosis of spinal cord injury (SCI) severity at the ultra-acute stage is of great importance for emergency clinical care of patients as well as for potential enrollment into clinical trials. The lack of a diagnostic biomarker for SCI has played a major role in the poor results of clinical trials. We analyzed global gene expression in peripheral white blood cells during the acute injury phase and identified 197 genes whose expression changed after SCI compared with healthy and trauma controls and in direct relation to SCI severity. Unsupervised coexpression network analysis identified several gene modules that predicted injury severity (AIS grades) with an overall accuracy of 72.7% and included signatures of immune cell subtypes. Specifically, for complete SCIs (AIS A), ROC analysis showed impressive specificity and sensitivity (AUC: 0.865). Similar precision was also shown for AIS D SCIs (AUC: 0.938). Our findings indicate that global transcriptomic changes in peripheral blood cells have diagnostic and potentially prognostic value for SCI severity.Entities:
Year: 2021 PMID： 33512429 PMCID： PMC7852457 DOI： 10.1084/jem.20201795
Source DB: PubMed Journal: J Exp Med ISSN： 0022-1007 Impact factor: 14.307