Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 19:11:348.
doi: 10.3389/fneur.2020.00348. eCollection 2020.

Inflammatory Cytokines Associate With Neuroimaging After Acute Mild Traumatic Brain Injury

Affiliations

Inflammatory Cytokines Associate With Neuroimaging After Acute Mild Traumatic Brain Injury

Katie A Edwards et al. Front Neurol. .

Abstract

Introduction: Elevated levels of blood-based proinflammatory cytokines are linked to acute moderate to severe traumatic brain injuries (TBIs), yet less is known in acute mild (m)TBI cohorts. The current study examined whether blood-based cytokines can differentiate patients with mTBI, with and without neuroimaging findings (CT and MRI). Material and Methods: Within 24 h of a mTBI, determined by a Glasgow Coma Scale (GCS) between 13 and 15, participants (n = 250) underwent a computed tomography (CT) and magnetic resonance imaging (MRI) scan and provided a blood sample. Participants were classified into three groups according to imaging findings; (1) CT+, (2) MRI+ (CT-), (3) Controls (CT- MRI-). Plasma levels of circulating cytokines (IL-6, IL-10, TNFα), and vascular endothelial growth factor (VEGF) were measured using an ultra-sensitive immunoassay. Results: Concentrations of inflammatory cytokines (IL-6, TNFα) and VEGF were elevated in CT+, as well as MRI+ groups (p < 0.001), compared to controls, even after controlling for age, sex and cardiovascular disease (CVD)-related risk factors; hypertension, and hyperlipidemia. Post-concussive symptoms were associated with imaging groupings, but not inflammatory cytokines in this cohort. Levels of VEGF, IL-6, and TNFα differentiated patients with CT+ findings from controls, with the combined biomarker model (VEGF, IL-6, TNFα, and IL-10) showing good discriminatory power (AUC 0.92, 95% CI 0.87-0.97). IL-6 was a fair predictor of MRI+ findings compared to controls (AUC 0.70, 95% CI 0.60-0.78). Finally, the combined biomarker model discriminated patients with MRI+ from CT+ with an AUC of 0.71 (95% CI 0.62-0.80). Conclusions: When combined, IL-6, TNFα, and VEGF may provide a promising biomarker cytokine panel to differentiate mTBI patients with CT+ imaging vs. controls. Singularly, IL-6 was a fair discriminator between each of the imaging groups. Future research directions may help elucidate mechanisms related to injury severity and potentially, recovery following an mTBI.

Keywords: cardiovascular disease risk; cytokines; inflammation; mild traumatic brain injury; neuroimaging.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Inflammatory cytokines are associated with neuroimaging. Dot plots showing (A) VEGF, (B) IL-6, (C) TNFα, and (D) IL-10 concentrations in the CT+, MRI+, and control groups. Significant differences are indicated with *p < 0.05, **p < 0.01, and ***p < 0.001. VEGF, vascular endothelial growth factor; IL-6, interleukin 6; TNFα, tumor necrosis factor alpha; IL-10, interleukin 10.
Figure 2
Figure 2
Sensitivity of Acute Cytokines to Predict Imaging Group. Receiver operating characteristic (ROC) curves for VEGF, IL-6, IL-10, and TNFα and combined model which includes all biomarkers (VEGF, IL-6, IL-10, TNFα). (A) ROC stratifying CT+ patients vs. controls (CT– and MRI–) [VEGF (AUC 0.86, 95% CI 0.80–0.92); IL-6 (AUC 0.87, 95% CI 0.81–0.93); TNFα (AUC 0.75, 95% CI 0.67–0.84); model (AUC 0.92, 95% CI 0.87–0.97)], (B) ROC stratifying MRI+ patients vs. controls [VEGF (AUC 0.59, 95% CI 0.49–0.69); IL-6 (AUC 0.70, 95% CI 0.60–0.78); and TNFα (AUC 0.60, 95% CI 0.50–0.73)] (C) ROC stratifying MRI+ patients vs. CT+ [VEGF (AUC 0.63, 95% CI 0.53–0.72), IL-6 (AUC 0.69, 95% CI 0.60–0.78), TNFα (AUC 0.61, 95% CI 0.51–0.71); model (AUC 0.71, 95% CI 0.62–0.80)].

Similar articles

Cited by

References

    1. Gardner RC, Yaffe K. Epidemiology of mild traumatic brain injury and neurodegenerative disease. Mol Cell Neurosci. (2015) 66 (Pt B):75–80. 10.1016/j.mcn.2015.03.001 - DOI - PMC - PubMed
    1. Cassidy JD, Carroll LJ, Peloso PM, Borg J, von Holst H, Holm L, et al. . Incidence, risk factors and prevention of mild traumatic brain injury: results of the WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury. J Rehabil Med. (2004) (43 Suppl):28–60. 10.1080/16501960410023732 - DOI - PubMed
    1. Levin HS, Diaz-Arrastia RR. Diagnosis, prognosis, and clinical management of mild traumatic brain injury. Lancet Neurol. (2015) 14:506–17. 10.1016/s1474-4422(15)00002-2 - DOI - PubMed
    1. Broshek DK, De Marco AP, Freeman JR. A review of post-concussion syndrome and psychological factors associated with concussion. Brain Inj. (2015) 29:228–37. 10.3109/02699052.2014.974674 - DOI - PubMed
    1. McCarthy MT, Kosofsky BE. Clinical features and biomarkers of concussion and mild traumatic brain injury in pediatric patients. Ann N Y Acad Sci. (2015) 1345:89–98. 10.1111/nyas.12736 - DOI - PubMed

LinkOut - more resources