As an astrocytic protein specific to the central nervous system, S100b is a potentially useful marker in outcome prediction after traumatic brain injury (TBI). Some studies have questioned the validity of S100b, citing the extracerebral origins of the protein as reducing the specificity of the marker. This study evaluated S100b as a prognostic biomarker in adult subjects with severe TBI (sTBI) by comparing outcomes with S100b temporal profiles generated from both cerebrospinal fluid (CSF) (n = 138 subjects) and serum (n = 80 subjects) samples across a 6-day time course. Long-bone fracture, Injury Severity Score (ISS), and isolated head injury status were variables used to assess extracerebral sources of S100b in serum. After TBI, CSF and serum S100b levels were increased over healthy controls across the first 6 days post-TBI (p ≤ 0.005 and p ≤ 0.031). Though CSF and serum levels were highly correlated during early time points post-TBI, this association diminished over time. Bivariate analysis showed that subjects who had temporal CSF profiles with higher S100b concentrations had higher acute mortality (p < 0.001) and worse Glasgow Outcome Scale (GOS; p = 0.002) and Disability Rating Scale (DRS) scores (p = 0.039) 6 months post-injury. Possibly as a result of extracerebral sources of S100b in serum, as represented by high ISS scores (p = 0.032), temporal serum profiles were associated with acute mortality (p = 0.015). High CSF S100b levels were observed in women (p = 0.022) and older subjects (p = 0.004). Multivariate logistic regression confirmed CSF S100b profiles in predicting GOS and DRS and showed mean and peak serum S100b as acute mortality predictors after sTBI.

SUMMARYObjective: Posttraumatic epilepsy (PTE) is a significant complication following traumatic brain injury (TBI), yet the role of genetic variation in modulating PTE onset is unclear. We hypothesized that TBI-induced inflammation likely contributes to seizure development. We assessed whether genetic variation in the interleukin-1beta (IL-1b) gene, Il-1b levels in cerebral spinal fluid (CSF) and serum, and CSF/serum IL-1b ratios would predict PTE development post-TBI. Methods: We investigated PTE development in 256 Caucasian adults with moderateto-severe TBI. IL-1b tagging and functional single nucleotide polymorphisms (SNPs) were genotyped. Genetic variance and PTE development were assessed. Serum and CSF IL-1b levels were collected from a subset of subjects (n = 59) during the first week postinjury and evaluated for their associations with IL-1b gene variants, and also PTE. Temporally matched CSF/serum IL-1b ratios were also generated to reflect the relative contribution of serum IL-1b to CSF IL-1b. Results: Multivariate analysis showed that higher CSF/serum IL-1b ratios were associated with increased risk for PTE over time (p = 0.008). Multivariate analysis for rs1143634 revealed an association between the CT genotype and increased PTE risk over time (p = 0.005). The CT genotype group also had lower serum IL-1b levels (p = 0.014) and higher IL-1b CSF/serum ratios (p = 0.093). Significance: This is the first report implicating IL-1b gene variability in PTE risk and linking (1) IL-1b gene variation with serum IL-1b levels observed after TBI and (2) IL-1b ratios with PTE risk. Given these findings, we propose that genetic and IL-1b ratio associations with PTE may be attributable to biologic variability with blood-brain barrier integrity during TBI recovery. These results provide a rationale for further studies (1) validating the impact of genetic variability on IL-1b production after TBI, (2) assessing genetically mediated signaling mechanisms that contribute to IL-1b CSF/serum associations with PTE, and (3) evaluating targeted IL-1b therapies that reduce PTE.

Background Mortality predictions following traumatic brain injury (TBI) may be improved by including genetic risk in addition to traditional prognostic variables. One promising target is the gene coding for brain-derived neurotrophic factor (BDNF), a ubiquitous neurotrophin important for neuronal survival and neurogenesis. Objective We hypothesized the addition of BDNF genetic variation would improve mortality prediction models and that BDNF Met-carriers (rs6265) and C-carriers (rs7124442) would have the highest mortality rates post-TBI. Methods This study examined BDNF functional single nucleotide polymorphisms (SNPs) rs6265r (val66met) and rs7124442 (T>C) in relation to mortality in a prospective, longitudinal cohort with severe TBI. We examined 315 individuals receiving care for a closed head injury within the University of Pittsburgh Medical Center, aged 16–79. Mortality was examined acutely (0–7 days post-injury) and post-acutely (8–365 days post-injury). A gene risk score (GRS) was developed to examine both BDNF loci. Cox proportional hazards models were used to calculate hazard ratios for survivability post-TBI while controlling for covariates. Results BDNF GRS was significantly associated with acute mortality, regardless of age. Interestingly, subjects in the hypothesized no-risk allele group had the lowest survival probability. Post-acutely, BDNF-GRS interacted with age such that younger participants in the no-risk group had the highest survival probability, while older participants in the hypothesized no-risk group had the lowest probability of survival. Conclusions These data suggest complex relationships between BDNF and TBI mortality that interact with age to influence survival predictions beyond clinical variables alone. Evidence supporting dynamic, temporal balances of pro-survival/pro-apoptotic target receptors may explain injury and age-related gene associations.

Acute CSF IBR scores show promise for identifying individuals at risk for PTD. Further research should assess acute CSF inflammatory biomarkers' relationships to chronic inflammation as a mechanism of PTD and should explore anti-inflammatory treatments for PTD, as well as prevention and screening protocols, and link inflammatory biomarkers to symptom tracking.

Objective Post-traumatic epilepsy (PTE) is a significant complication following traumatic brain injury (TBI), yet the role of genetic variation in modulating PTE onset is unclear. We hypothesized that TBI-induced inflammation likely contributes to seizure development. We assessed whether genetic variation in the IL-1β gene, Il-1β levels in cerebral spinal fluid (CSF) and serum, and CSF/serum IL-1β ratios would predict PTE development post-TBI. Methods We investigated PTE development in 256 Caucasian adults with moderate to severe TBI. IL-1β tagging and functional single nucleotide polymorphisms (SNPs) were genotyped. Genetic variance and PTE development were assessed. Serum and CSF IL-1β levels were collected from a subset of subjects (n=59) during first week post injury and evaluated for their associations with IL-1β gene variants and also PTE. Temporally matched CSF/serum IL-1β ratios were also generated to reflect the relative contribution of serum IL-1β to CSF IL-1β. Results Multivariate analysis showed that higher CSF/serum IL-1β ratios were associated with increased risk for PTE over time (p=0.008). Multivariate analysis for rs1143634 revealed an association between the CT genotype and increased PTE risk over time (p=0.005). The CT genotype group also had lower serum IL-1β levels (p=0.014) and higher IL-1β CSF/serum ratios (p=0.093). Significance This is the first report implicating IL-1β gene variability with PTE risk and linking 1) IL-1β gene variation with serum IL-1β levels observed after TBI and 2) IL-1β ratios with PTE risk. Given these findings, we propose that genetic and IL-1β ratio associations with PTE may be attributable to biological variability with blood brain barrier integrity during TBI recovery. These results provide a rationale for further studies 1) validating the impact of genetic variability on IL-1β production after TBI, 2) assessing genetically mediated signaling mechanisms that contribute to IL-1β CSF/serum associations with PTE, and 3) evaluating targeted IL-1β therapies that reduce PTE.

Background Older adults have higher mortality rates after severe traumatic brain injury (TBI) compared to younger adults. Brain derived neurotrophic factor (BDNF) signaling is altered in aging and is important to TBI given its role in neuronal survival/plasticity and autonomic function. Following experimental TBI, acute BDNF administration has not been efficacious. Clinically, genetic variation in BDNF (reduced signaling alleles: rs6265, Met-carriers; rs7124442, C-carriers) were protective in acute mortality. Post-acutely, these genotypes carried lower mortality risk in older adults, and greater mortality risk among younger adults. Objective Investigate BDNF levels in mortality/outcome following severe TBI in the context of age and genetic risk. Methods CSF and serum BDNF were assessed prospectively during the first week following severe TBI (n=203), and in controls (n=10). Age, BDNF genotype, and BDNF levels were assessed as mortality/outcome predictors. Results CSF BDNF levels tended to be higher post-TBI (p=0.061) versus controls and were associated with time until death (p=0.042). In contrast, serum BDNF levels were reduced post-TBI versus controls (p<0.0001). Both gene*BDNF serum and gene*age interactions were mortality predictors post-TBI in the same multivariate model. CSF and serum BDNF tended to be negatively correlated post-TBI (p=0.07). Conclusions BDNF levels predicted mortality, in addition to gene*age interactions, suggesting levels capture additional mortality risk. Higher CSF BDNF post-TBI may be detrimental due to injury and age-related increases in pro-apoptotic BDNF target receptors. Negative CSF and serum BDNF correlations post-TBI suggest blood-brain barrier transit alterations. Understanding BDNF signaling in neuronal survival, plasticity, and autonomic function may inform treatment.

The Short Sensory Profile (SSP) is one of the most commonly used measures of sensory features in children with autism spectrum disorder (ASD), but psychometric studies in this population are limited. Using confirmatory factor analysis, we evaluated the structural validity of the SSP subscales in ASD children. Confirmatory factor models exhibited poor fit, and a follow-up exploratory factor analysis suggested a 9-factor structure that only replicated three of the seven original subscales. Secondary analyses suggest that while reliable, the SSP total score is substantially biased by individual differences on dimensions other than the general factor. Overall, our findings discourage the use of the SSP total score and most subscale scores in children with ASD. Implications for future research are discussed.

Distinct regulatory signaling mechanisms exist between cortisol and brain derived neurotrophic factor (BDNF) that may influence secondary injury cascades associated with traumatic brain injury (TBI) and predict outcome. We investigated concurrent CSF BDNF and cortisol relationships in 117 patients sampled days 0–6 after severe TBI while accounting for BDNF genetics and age. We also determined associations between CSF BDNF and cortisol with 6-month mortality. BDNF variants, rs6265 and rs7124442, were used to create a gene risk score (GRS) in reference to previously published hypothesized risk for mortality in “younger patients” (<48 years) and hypothesized BDNF production/secretion capacity with these variants. Group based trajectory analysis (TRAJ) was used to create two cortisol groups (high and low trajectories). A Bayesian estimation approach informed the mediation models. Results show CSF BDNF predicted patient cortisol TRAJ group (P = 0.001). Also, GRS moderated BDNF associations with cortisol TRAJ group. Additionally, cortisol TRAJ predicted 6-month mortality (P = 0.001). In a mediation analysis, BDNF predicted mortality, with cortisol acting as the mediator (P = 0.011), yielding a mediation percentage of 29.92%. Mediation effects increased to 45.45% among younger patients. A BDNF*GRS interaction predicted mortality in younger patients (P = 0.004). Thus, we conclude 6-month mortality after severe TBI can be predicted through a mediation model with CSF cortisol and BDNF, suggesting a regulatory role for cortisol with BDNF's contribution to TBI pathophysiology and mortality, particularly among younger individuals with severe TBI. Based on the literature, cortisol modulated BDNF effects on mortality after TBI may be related to known hormone and neurotrophin relationships to neurological injury severity and autonomic nervous system imbalance.