Blood RNA Profiles are Diagnostic for Severity in Human Acute Spinal Cord Injury

Nikos Kyritsis; Abel Torres Espin; Patrick G. Schupp; John Russell Huie; Austin Chou; Xuan Duong Fernandez; Leigh H. Thomas; Rachel E. Tsolinas; Debra D. Hemmerle; Lisa U. Pascual; Vineeta Singh; Jonathan Z. Pan; Jason F. Talbott; William D. Whetstone; John F. Burke; Anthony Michael DiGiorgio; Philip R. Weinstein; Geoffrey T. Manley; Sanjay S. Dhall; Adam R. Ferguson; Michael C. Oldham; Jacqueline C. Bresnahan; Michael S. Beattie

doi:10.1084/jem.20201795

NeuroscienceThe Journal of Experimental MedicineDec 23, 2020

Peer-reviewed journal article

Blood RNA Profiles are Diagnostic for Severity in Human Acute Spinal Cord Injury

Nikos Kyritsis iD, Abel Torres Espin iD, Patrick G. Schupp iD, John Russell Huie iD, Austin Chou iD, Xuan Duong Fernandez iD, Leigh H. Thomas iD, Rachel E. Tsolinas iD, Debra D. Hemmerle iD, Lisa U. Pascual iD, Vineeta Singh iD, Jonathan Z. Pan iD, Jason F. Talbott iD, William D. Whetstone iD, John F. Burke iD, Anthony Michael DiGiorgio iD, Philip R. Weinstein iD, Geoffrey T. Manley iD, Sanjay S. Dhall iD, Adam R. Ferguson iD, Michael C. Oldham iD, Jacqueline C. Bresnahan iD, Michael S. Beattie iD

Abstract

Biomarkers of spinal cord injury (SCI) could help determine the severity of the injury and facilitate early critical care decision making. 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 to healthy and trauma controls and in direct relation to SCI severity. Unsupervised co-expression 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. Our findings indicate that global transcriptomic changes in peripheral blood cells have diagnostic and potentially prognostic value for SCI severity.

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