Novel severe traumatic brain injury blood outcome biomarkers identified with proximity extension assay.

Abstract

OBJECTIVES:

Severe traumatic brain injury (sTBI) patients suffer high mortality. Accurate prognostic biomarkers have not been identified. In this exploratory study, we performed targeted proteomics on plasma obtained from sTBI patients to identify potential outcome biomarkers.

METHODS:

Blood sample was collected from patients admitted to the ICU suffering a sTBI, using standardized clinical and computerized tomography (CT) imaging criteria. Age- and sex-matched healthy control subjects and sTBI patients were enrolled. Targeted proteomics was performed on plasma with proximity extension assays (1,161 proteins).

RESULTS:

Cohorts were well-balanced for age and sex. The majority of sTBI patients were injured in motor vehicle collisions and the most frequent head CT finding was subarachnoid hemorrhage. Mortality rate for sTBI patients was 40%. Feature selection identified the top performing 15 proteins for identifying sTBI patients from healthy control subjects with a classification accuracy of 100%. The sTBI proteome was dominated by markers of vascular pathology, immunity/inflammation, cell survival and macrophage/microglia activation. Receiver operating characteristic (ROC) curve analyses demonstrated areas-under-the-curves (AUC) for identifying sTBI that ranged from 0.870-1.000 (p≤0.005). When mortality was used as outcome, ROC curve analyses identified the top 3 proteins as Willebrand factor (vWF), Wnt inhibitory factor-1 (WIF-1), and colony stimulating factor-1 (CSF-1). Combining vWF with either WIF-1 or CSF-1 resulted in excellent mortality prediction with AUC of 1.000 for both combinations (p=0.011).

CONCLUSIONS:

Targeted proteomics with feature classification and selection distinguished sTBI patients from matched healthy control subjects. Two protein combinations were identified that accurately predicted sTBI patient mortality. Our exploratory findings require confirmation in larger sTBI patient populations.

• Authors: Douglas D Fraser, Michelle Chen, Annie Ren, Michael R Miller, Claudio Martin, Mark Daley, Eleftherios P Diamandis, Ioannis Prassas
• Journal: Clinical chemistry and laboratory medicine (Clin Chem Lab Med) Vol. 59 Issue 10 Pg. 1662-1669 (09 27 2021) ISSN: 1437-4331 [Electronic] Germany
• PMID: 34144643 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2021 Walter de Gruyter GmbH, Berlin/Boston.

Chemical References

• Biomarkers

Topics

• Biomarkers
• Brain Injuries
• Brain Injuries, Traumatic (diagnosis)
• Humans
• Prognosis
• Tomography, X-Ray Computed