Journal of neurotrauma
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Journal of neurotrauma · Aug 2023
Traumatic axonal injury in the optic nerve: the selective role of SARM1 in the evolution of distal axonopathy.
Traumatic axonal injury (TAI), thought to be caused by rotational acceleration of the head, is a prevalent neuropathology in traumatic brain injury (TBI). TAI in the optic nerve is a common finding in multiple blunt-force TBI models and hence a great model to study mechanisms and treatments for TAI, especially in view of the compartmentalized anatomy of the visual system. We have previously shown that the somata and the proximal, but not distal, axons of retinal ganglion cells (RGC) respond to DLK/LZK blockade after impact acceleration of the head (IA-TBI). ⋯ Quantitative analyses on proximal and distal axons and RGC somata revealed that different neuronal domains exhibit differential vulnerability, with distal axon segments showing more severe degeneration compared with proximal segments and RGC somata. Importantly, we found that Sarm1 KO had a profound effect in the distal optic nerve by suppressing axonal degeneration by up to 50% in the first 2 weeks after IA-TBI, with a continued but lower effect at 3 weeks, while also suppressing microglial activation. Sarm1 KO had no evident effect on the initial traumatic disconnection and did not ameliorate the proximal optic axonopathy or the subsequent attrition of RGCs, indicating that the fate of different axonal segments in the course of TAI may depend on distinct molecular programs within axons.
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Journal of neurotrauma · Aug 2023
Racial differences in head pain and other pain-related outcomes following mild traumatic brain injury.
Recent research suggests that mild traumatic brain injury (TBI) may exert deleterious effects on endogenous pain modulatory function, potentially underlying the elevated risk for persistent headaches following injury. Accumulating research also shows race differences in clinical and experimental pain, with African Americans (AA) generally reporting more severe pain, worse pain modulation, and greater pain sensitivity compared with Caucasians. However, race differences in pain-related outcomes following mild TBI have rarely been studied. ⋯ These same race differences were not observed among the healthy TBI-free control sample. The mediation analyses showed complete mediation for the relation between race and headache pain intensity by pain catastrophizing at 1-2 weeks and 1-month post-injury. Overall, the results of this study suggest that AAs compared with Caucasians are characterized by psychological and pain modulatory profiles following mild TBI that could increase the risk for the development of intense and persistent headaches following injury.
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Journal of neurotrauma · Aug 2023
Randomized Controlled TrialRandomized evaluation of CDC HEADS UP concussion education materials for youth sport coaches.
The Centers for Disease Control and Prevention (CDC) HEADS UP youth sports coach materials are the most widely adopted form of concussion education for coaches across the United States-reaching millions of youth sports coaches over the last decade. These materials focus on concussion symptom identification, response, and management (e.g., return to school and sports), while also addressing the importance of communicating to athletes and their families about concussion safety. The purpose of this study was to assess the effectiveness of CDC HEADS UP materials on coach knowledge and communication with youth athletes about concussion safety. ⋯ Concussion symptom knowledge and communication intentions also significantly increased in the intervention group but not in the control group. This study provides evidence that CDC HEADS UP materials increase the likelihood that youth sport coaches communicate with their athletes about concussion safety. As youth sports organizations increasingly mandate concussion education for coaches, CDC HEADS UP materials may be considered a leading resource for adoption and setting-relevant implementation.
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Journal of neurotrauma · Aug 2023
Multicenter StudyMachine Learning to Predict Three Types of Outcomes After Traumatic Brain Injury Using Data at Admission: A Multicenter Study for Development and Validation.
The difficulty of accurately identifying patients who would benefit from promising treatments makes it challenging to prove the efficacy of novel treatments for traumatic brain injury (TBI). Although machine learning is being increasingly applied to this task, existing binary outcome prediction models are insufficient for the effective stratification of TBI patients. The aim of this study was to develop an accurate 3-class outcome prediction model to enable appropriate patient stratification. ⋯ As a result, it is expected to be more impactful in the development of appropriate patient stratification methods in future TBI studies than conventional binary prognostic models. Further, outcomes were predicted based on only clinical data obtained from the emergency department. However, developing a robust model with consistent performance in diverse scenarios remains challenging, and further efforts are needed to improve generalization performance.
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Journal of neurotrauma · Aug 2023
Associations of Microvascular Injury-Related Biomarkers with Traumatic Brain Injury Severity and Outcomes: A TRACK-TBI Pilot Study.
Traumatic brain injury (TBI) is characterized by heterogeneity in terms of injury severity, mechanism, outcome, and pathophysiology. A single biomarker alone is unlikely to capture the heterogeneity of even one injury subtype, necessitating the use of panels of biomarkers. Herein, we focus on traumatic cerebrovascular injury and investigate associations of a panel of 16 vascular injury-related biomarkers with indices of TBI severity and outcomes using data from 159 participants in the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Pilot Study. ⋯ In principal components analysis, principal component (PC)1, comprised of Ang1, bFGF, P-selectin, VEGF-C, VEGF-A, and Tie2, was associated with less severe injury (age-adjusted odds ratio [OR]: 0.63, 95% confidence interval [CI]: 0.44-0.88 for head computer tomography [CT] positive vs. negative) and PC2 (Ang-2, E-selectin, Flt-1, placental growth factor, thrombomodulin, and vascular cell adhesion protein 1) was associated with greater injury severity (age-adjusted OR: 2.29, 95% CI: 1.49-3.69 for Glasgow Coma Scale [GCS] 3-12 vs. 13-15 and age-adjusted OR 1.59, 95% CI: 1.11-2.32 for head CT positive vs. negative). Neither individual biomarkers nor PCs were associated with outcomes in adjusted models (all p > 0.05). In conclusion, in this trauma-center based population of acute TBI patients, biomarkers of microvascular injury were associated with TBI severity.