Early depletion of gut microbiota shape oligodendrocyte response after traumatic brain injury.

White matter injury (WMI) is thought to be a major contributor to long-term cognitive dysfunctions after traumatic brain injury (TBI). This damage occurs partly due to apoptotic death of oligodendrocyte lineage cells (OLCs) after the injury, triggered directly by the trauma or in response to degenerating axons. Recent research suggests that the gut microbiota modulates the inflammatory response through the regulation of peripheral immune cell infiltration after TBI. Additionally, T-cells directly impact OLCs differentiation and proliferation. Therefore, we hypothesized that the gut microbiota plays a critical role in regulating the OLC response to WMI influencing T-cells differentiation and activation. Gut microbial depletion early after TBI chronically reduced re-myelination, acutely decreased OLCs proliferation, and was associated with increased myelin debris accumulation. Surprisingly, the absence of T-cells in gut microbiota depleted mice restored OLC proliferation and remyelination after TBI. OLCs co-cultured with T-cells derived from gut microbiota depleted mice resulted in impaired proliferation and increased expression of MHC-II compared with T cells from control-injured mice. Furthermore, MHC-II expression in OLCs appears to be linked to impaired proliferation under gut microbiota depletion and TBI conditions. Collectively our data indicates that depletion of the gut microbiota after TBI impaired remyelination, reduced OLCs proliferation with concomitantly increased OLC MHCII expression, and required the presence of T cells. This data suggests that T cells are an important mechanistic link by which the gut microbiota modulate the oligodendrocyte response and white matter recovery after TBI.

Cervical spine proprioception and vestibular/oculomotor function: An observational study comparing young adults with and without a concussion history.

OBJECTIVE: To investigate dizziness, vestibular/oculomotor symptoms, and cervical spine proprioception among adults with/without a concussion history. METHODS: Adults ages 18-40 years with/without a concussion history completed: dizziness handicap inventory (DHI), visio-vestibular exam (VVE), and head repositioning accuracy (HRA, assesses cervical spine proprioception). Linear regression models were used to assess relationships between (1) concussion/no concussion history group and VVE, HRA, and DHI, and (2) DHI with HRA and VVE for the concussion history group. RESULTS: We enrolled 42 participants with concussion history (age = 26.5 ± 4.5 years, 79% female, mean = 1.4± 0.8 years post-concussion) and 46 without (age = 27.0± 3.8 years, 74% female). Concussion history was associated with worse HRA (ß = 1.23, 95% confidence interval [CI]: 0.77, 1.68; p < 0.001), more positive VVE subtests (ß = 3.01, 95%CI: 2.32, 3.70; p < 0.001), and higher DHI scores (ß = 9.79, 95%CI: 6.27, 13.32; p < 0.001) after covariate adjustment. For the concussion history group, number of positive VVE subtests was significantly associated with DHI score (ß = 3.78, 95%CI: 2.30, 5.26; p < 0.001) after covariate adjustment, while HRA error was not (ß = 1.10, 95%CI: -2.32, 4.51; p = 0.52). CONCLUSIONS: Vestibular/oculomotor symptom provocation and cervical spine proprioception impairments may persist chronically (i.e., 3 years) after concussion. Assessing dizziness, vestibular/oculomotor and cervical spine function after concussion may inform patient-specific treatments to address ongoing dysfunction.

Pre-injury psychiatric history, subacute symptoms and personality traits predict social reintegration at 3-month post-mild traumatic brain injury.

BACKGROUND: The purpose of the study was to identify whether the presence of a pre-injury psychiatric history, subacute post-concussive symptoms (PCS) and personality traits were predictive of less favorable social reintegration for 3 months following a mild traumatic brain injury (mTBI). METHOD: A total of 76 patients with mTBI were included, and the presence of a pre-injury psychiatric history was identified from the medical chart. One-month post-accident, these patients completed the Millon Multiaxial Clinical Inventory, 3rd Edition assessing personality traits and the Rivermead Post-Concussion Symptoms Questionnaire to measure subacute PCS. Social reintegration was measured using the Mayo-Portland Adaptability Inventory, 4th Edition at 3-month post-accident. RESULTS: The presence of pre-injury psychiatric history, high levels of subacute PCS and Cluster B personality traits such as histrionic and borderline features were significant predictors of social reintegration quality at 3-month post injury. CONCLUSION: This study provides new insights on cluster B personality traits and its influence on recovery and social reintegration at 3-month post mTBI.

Morbid hunger and hyperphagia post-traumatic brain injury in a young male: good prognosis with escitalopram and multidisciplinary rehabilitation.

OBJECTIVE: Morbid hunger and hyperphagia (MHH) is a rare neurological disorder that can manifest following damage to the right frontal and temporal lobes. It can lead to detrimental short and long-term complications such as electrolyte imbalances, obesity, and cardiovascular diseases. This report details the case of a young male patient who developed MHH five months post-traumatic brain injury. METHOD: Single-case report. The patient exhibited colossal appetite, overeating, food-demanding behavior, and rapid weight gain. The prescription of quetiapine to manage his visual and auditory hallucinations was suspected of exacerbating the hyperphagia. A comprehensive, multidisciplinary rehabilitation approach was implemented, encompassing a meticulous dietary regime, environmental modifications, behavioral management, physical activities, therapeutic exercises, and pharmacological interventions, which included switching the anti-psychotics and introducing low-dose escitalopram. RESULTS: Over the course of 6 months, the MHH gradually subsided, and the patient achieved the target bodyweight. The Glasgow Outcome Scale-Extended improved from 3 to 5. CONCLUSION: This is the first report on the use of escitalopram to manage secondary eating disorders. Our findings underscore the necessity to formally catalog and recognize disorders like MHH in diagnostic classifications to facilitate the systematic study of their pathophysiology, natural history, prognosis, and management strategies.

A systematic review of reported outcomes in randomized controlled trials targeting early interventions in moderate-to-severe traumatic brain injury.

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. Randomized controlled trials (RCTs) are the cornerstone to evaluate the efficacy of an intervention. In order to assess the methodology of clinical research, we performed a systematic review which evaluated the different outcomes used in RCTs targeting the early phase of moderate to severe adult TBI from 1983 to October 31, 2023. We extracted each outcome and organized them according to the COMET and OMERACT framework (core area, broad domains, target domains and finally outcomes). 190 RCTs were included, including 52,010 participants. 557 outcomes were reported and classified between the following core areas: pathophysiological manifestations (169 RCTs (88.9%)), life impact (117 RCTs (61.6%)), death (94 RCTs (49.5%)), resource use (72 RCTs (37.9%)) and adverse events (41 RCTs (21.6%)). We identified 29 broad domains and 89 target domains. Among target domains, physical functioning (111 (58.4%)), mortality (94 (49.5%)), intra-cranial pressure target domain (68 (35.8%)), hemodynamics (53 (27.9%)) were the most frequent. Outcomes were mostly clinician-reported (177 (93.2%)) while patient-reported outcomes were rarely reported (11 (5.8%)). In our review, there was significant heterogeneity in the choice of endpoints in TBI clinical research. There is an urgent need for consensus and homogeneity in order to improve the quality of clinical research in this area.

Developmental Functions of Microglia: Impact of Psychosocial and Physiological Early Life Stress.

Microglia play numerous important roles in brain development. From early embryonic stages through adolescence, these immune cells influence neuronal genesis and maturation, guide connectivity, and shape brain circuits. They also interact with other glial cells and structures, influencing the brain's supportive microenvironment. While this central role makes microglia essential, it means that early life perturbations to microglia can have widespread effects on brain development, potentially resulting in long-lasting behavioral impairments. Here, we will focus on the effects of early life psychosocial versus physiological stressors in rodent models. Psychosocial stress refers to perceived threats that lead to stress axes activation, including prenatal stress, or chronic postnatal stress, including maternal separation and resource scarcity. Physiological stress refers to with physical threats, including maternal immune activation, postnatal infection, and traumatic brain injury. Differing sources of early life stress have varied impacts on microglia, and these effects are moderated by factors such as developmental age, brain region, and sex. Overall, these stressors appear to either 1) upregulate basal microglia numbers and activity throughout the lifespan, while possibly blunting their responsivity to subsequent stressors, or 2) shift the developmental curve of microglia, resulting in differential timing and function, impacting the critical periods they govern. Either could contribute to behavioral dysfunctions that occur after the resolution of early life stress. Exploring how different stressors impact microglia, as well as how the experience of multiple stressors interacts to alter microglia's developmental functions, could deepen our understanding of how early life stress changes the brain's developmental trajectory.

A Transdiagnostic, Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI).

Psychopathology, including depression, anxiety, and post-traumatic stress, is a significant yet inadequately addressed feature of moderate-severe traumatic brain injury (TBI). Progress in understanding and treating post-TBI psychopathology may be hindered by limitations associated with conventional diagnostic approaches, specifically the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). The Hierarchical Taxonomy of Psychopathology (HiTOP) offers a promising, transdiagnostic alternative to psychiatric classification that may more effectively capture the experiences of individuals with TBI. However, HiTOP lacks validation in the TBI population. To address this gap, we administered a comprehensive questionnaire battery, including 56 scales assessing homogeneous symptom components and maladaptive traits within HiTOP, to 410 individuals with moderate-severe TBI. We evaluated the reliability and unidimensionality of each scale and revised those with psychometric problems. Using a top-down, exploratory latent variable approach (bass-ackwards modeling), we subsequently constructed a hierarchical model of psychopathological dimensions tailored to TBI. The results showed that, relative to norms, participants with moderate-severe TBI experienced greater problems in the established HiTOP internalizing and detachment spectra, but fewer problems with thought disorder and antagonism. Fourteen of the 56 scales demonstrated psychometric problems, which often appeared reflective of the TBI experience and associated disability. The Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI) model encompassed broad internalizing and externalizing spectra, splitting into seven narrower dimensions: Detachment, Dysregulated Negative Emotionality, Somatic Symptoms, Compensatory and Phobic Reactions, Self-Harm and Psychoticism, Rigid Constraint, and Harmful Substance Use. This study presents the most comprehensive empirical classification of psychopathology after TBI to date. It introduces a novel, TBI-specific transdiagnostic questionnaire battery and model, which addresses the limitations of conventional DSM and ICD diagnoses. The empirical structure of psychopathology after TBI largely aligned with the established HiTOP model (e.g., a detachment spectrum). However, these constructs need to be interpreted in relation to the unique experiences associated with TBI (e.g., considering the injury's impact on the person's social functioning). By overcoming limitations of conventional diagnostic approaches, the HiTOP-TBI model has the potential to accelerate our understanding of the causes, correlates, consequences, and treatment of psychopathology after TBI.

Evaluating and Updating the IMPACT model to predict outcomes in two contemporary North American TBI cohorts.

The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) model is a widely recognized prognostic model applied after traumatic brain injury (TBI). However, it was developed with patient cohorts that may not reflect modern practice patterns in North America. We analyzed data from two sources: the placebo arm of the phase II double-blind, multicenter randomized controlled trial Prehospital Tranexamic Acid for TBI (TXA) cohort and data from an observational cohort with similar inclusion/exclusion criteria (Predictors of Low-risk Phenotypes after Traumatic Brain Injury Incorporating Proteomic Biomarker Signatures (PROTIPS) cohort). All three versions of the IMPACT model - core, extended, and laboratory - were evaluated for 6-month mortality (GOSE=1) and unfavorable outcomes (GOSE=1-4). Calibration (intercept and slope) and discrimination (ROC-AUC) were used to assess model performance. We then compared three model updating methods - recalibration in the large, logistic recalibration, and coefficient update - with the best update method determined by likelihood ratio tests.　 In our calibration analysis, recalibration improved both intercepts and slopes, indicating more accurate predicted probabilities when recalibration was done. Discriminative performance of the IMPACT models, measured by AUC, showed mortality prediction ROCs between 0.61 to 0.82 for the TXA cohort, with the coefficient updated Lab model achieving the highest at 0.84. Unfavorable outcomes had lower AUCs, ranging from 0.60 to 0.79. Similarly, in the PROTIPS cohort, AUCs for mortality ranged from 0.75 to 0.82, with the coefficient updated Lab model also showing superior performance (AUC 0.84). Unfavorable outcomes in this cohort presented AUCs from 0.67 to 0.73, consistently lower than mortality predictions. The closed testing procedure using likelihood ratio tests consistently identified the coefficient update model as superior, outperforming the original and recalibrated models across all cohorts. In our comprehensive evaluation of the IMPACT model, the coefficient updated models were the best-performing across all cohorts through a structured closed testing procedure. Thus, standardization of model updating procedures is needed to reproducibly determine the best performing versions of IMPACT that reflect the specific characteristics of a dataset.

Who is seeking information about traumatic brain injury? Characterizing online course participants.

Accessible, up-to-date information on traumatic brain injury (TBI) can be challenging to find and is needed to address TBI knowledge gaps and improve outcomes for people who experience a TBI. The Understanding TBI Massive Open Online Course (TBI MOOC) was developed to increase TBI knowledge across a diverse global audience. We sought to characterize the TBI MOOC participant cohort, to understand the reach of the course among this target audience. Examining the characteristics of TBI MOOC enrollees showed that participants came from a wide range of demographic backgrounds, had a variety of TBI experiences and had multiple reasons for enrolling in the MOOC. The majority of course participants shared some characteristics with other groups of health information seekers. Four distinct demographic profiles were identified among TBI MOOC participants (education seekers, TBI-aware participants, TBI care providers and retirees) using a novel approach combining chi-squared tests and network modularity. Participants assigned to the TBI-aware and retiree profiles were most likely to complete all modules of the MOOC, and the TBI-aware profile was more highly represented in more recent iterations of the MOOC. Together, these data indicate that the TBI MOOC provided information to a wide range of people, and particularly engaged participants with personal or family experience of TBI. However, engagement with this course was minimal among some hard-to-reach populations, including men and people with low levels of education, indicating that additional strategies are needed to ensure equity in health promotion.

Traumatic brain injury in elderly population: A global systematic review and meta-analysis of in-hospital mortality and risk factors among 2.22 million individuals.

BACKGROUND: Traumatic brain injury (TBI) among elderly individuals poses a significant global health concern due to the increasing ageing population. METHODS: We searched PubMed, Cochrane Library, and Embase from database inception to Feb 1, 2024. Studies performed in inpatient settings reporting in-hospital mortality of elderly people (≥60 years) with TBI and/or identifying risk factors predictive of such outcomes, were included. Data were extracted from published reports, in-hospital mortality as our main outcome was synthesized in the form of rates, and risk factors predicting in-hospital mortality was synthesized in the form of odds ratios. Subgroup analyses, meta-regression and dose-response meta-analysis were used in our analyses. FINDINGS: We included 105 studies covering 2217,964 patients from 30 countries/regions. The overall in-hospital mortality of elderly patients with TBI was 16 % (95 % CI 15 %-17 %) from 70 studies. In-hospital mortality was 5 % (95 % CI, 3 %-7 %), 18 % (95 % CI, 12 %-24 %), 65 % (95 % CI, 59 %-70 %) for mild, moderate and severe subgroups from 10, 7, and 23 studies, respectively. A decrease in in-hospital mortality over years was observed in overall (1981-2022) and in severe (1986-2022) elderly patients with TBI. Older age 1.69 (95 % CI, 1.58-1.82, P < 0.001), male gender 1.34 (95 % CI, 1.25-1.42, P < 0.001), clinical conditions including traffic-related cause of injury 1.22 (95 % CI, 1.02-1.45, P = 0.029), GCS moderate (GCS 9-12 compared to GCS 13-15) 4.33 (95 % CI, 3.13-5.99, P < 0.001), GCS severe (GCS 3-8 compared to GCS 13-15) 23.09 (95 % CI, 13.80-38.63, P < 0.001), abnormal pupillary light reflex 3.22 (95 % CI, 2.09-4.96, P < 0.001), hypotension after injury 2.88 (95 % CI, 1.06-7.81, P = 0.038), polytrauma 2.31 (95 % CI, 2.03-2.62, P < 0.001), surgical intervention 2.21 (95 % CI, 1.22-4.01, P = 0.009), pre-injury health conditions including pre-injury comorbidity 1.52 (95 % CI, 1.24-1.86, P = 0.0020), and pre-injury anti-thrombotic therapy 1.51 (95 % CI, 1.23-1.84, P < 0.001) were related to higher in-hospital mortality in elderly patients with TBI. Subgroup analyses according to multiple types of anti-thrombotic drugs with at least two included studies showed that anticoagulant therapy 1.70 (95 % CI, 1.04-2.76, P = 0.032), Warfarin 2.26 (95 % CI, 2.05-2.51, P < 0.001), DOACs 1.99 (95 % CI, 1.43-2.76, P < 0.001) were related to elevated mortality. Dose-response meta-analysis of age found an odds ratio of 1.029 (95 % CI, 1.024-1.034, P < 0.001) for every 1-year increase in age on in-hospital mortality. CONCLUSIONS: In the field of elderly patients with TBI, the overall in-hospital mortality and its temporal-spatial feature, the subgroup in-hospital mortalities according to injury severity, and dose-response meta-analysis of age were firstly comprehensively summarized. Substantial key risk factors, including the ones previously not elucidated, were identified. Our study is thus of help in underlining the importance of treating elderly TBI, providing useful information for healthcare providers, and initiating future management guidelines. This work underscores the necessity of integrating elderly TBI treatment and management into broader health strategies to address the challenges posed by the aging global population. REVIEW REGISTRATION: PROSPERO CRD42022323231.

Traumatic brain injury and long-term associations with work, divorce and academic achievement.

OBJECTIVE: Traumatic brain injuries (TBI), irrespective of severity, may have long-term social implications. This study explores the relationships between TBI severity and outcomes related to work stability, divorce, and academic achievement. METHODS: Using a Danish nationwide sample of persons with and without TBI, we employed case-control and longitudinal cohort designs. The case-control design utilized individuals aged 18 to 60 years and examined work stability. Each case, employed at time of TBI, was compared with 10 matched controls. The cohort design utilized individuals alive from 1980 to 2016 with and without TBI and assessed the likelihood of 1) divorce and 2) higher-level education. TBI exposures included concussion, skull fractures, or confirmed TBI. RESULTS: TBI cases exhibited higher odds ratios (OR) for work instability at all follow-ups compared to controls. Increased TBI severity was associated with a higher risk of work instability at 2-year follow-up (concussion: OR = 1.83; skull fracture: OR = 2.22; confirmed TBI: OR = 4.55), and with a higher risk of not working at 10-year follow-up (confirmed TBI: OR = 2.82; concussion: OR = 1.63). The divorce incidence rate ratio (IRR) was elevated in individuals with TBI (males: IRR = 1.52; females: IRR = 1.48) compared to those without TBI. Individuals with childhood TBI had reduced chances of attaining high school degree or higher (males: IRR = 0.79; females: IRR = 0.85) compared to those without TBI. CONCLUSION: TBI is associated with an increased long-term risk of social consequences, including work instability, divorce, and diminished chances of higher education, even in cases with concussion.

Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

AIMS: To assess the predictive value of early-stage physiological time-series (PTS) data and non-interrogative electronic health record (EHR) signals, collected within 24 h of ICU admission, for traumatic brain injury (TBI) patient outcomes. METHODS: Using data from TBI patients in the multi-center eICU database, we focused on in-hospital mortality, neurological status based on the Glasgow Coma Score (mGCS) motor subscore at discharge, and prolonged ICU stay (PLOS). Three machine learning (ML) models were developed, utilizing EHR features, PTS signals collected 24 h after ICU admission, and their combination. External validation was performed using the MIMIC III dataset, and interpretability was enhanced using the Shapley Additive Explanations (SHAP) algorithm. RESULTS: The analysis included 1085 TBI patients. Compared to individual models and existing scoring systems, the combination of EHR and PTS features demonstrated comparable or even superior performance in predicting in-hospital mortality (AUROC = 0.878), neurological outcomes (AUROC = 0.877), and PLOS (AUROC = 0.835). The model's performance was validated in the MIMIC III dataset, and SHAP algorithms identified six key intervention points for EHR features related to prognostic outcomes. Moreover, the EHR results (All AUROC >0.8) were translated into online tools for clinical use. CONCLUSION: Our study highlights the importance of early-stage PTS signals in predicting TBI patient outcomes. The integration of interpretable algorithms and simplified prediction tools can support treatment decision-making, contributing to the development of accurate prediction models and timely clinical intervention.

Local Delivery of Dual Stem Cell-Derived Exosomes Using an Electrospun Nanofibrous Platform for the Treatment of Traumatic Brain Injury.

Traumatic brain injury poses serious physical, psychosocial, and economic threats. Although systemic administration of stem cell-derived exosomes has recently been proven to be a promising modality for traumatic brain injury treatment, they come with distinct drawbacks. Luckily, various biomaterials have been developed to assist local delivery of exosomes to improve the targeting of organs, minimize nonspecific accumulation in vital organs, and ensure the protection and release of exosomes. In this study, we developed an electrospun nanofibrous scaffold to provide sustained delivery of dual exosomes derived from mesenchymal stem cells and neural stem cells for traumatic brain injury treatment. The electrospun nanofibrous scaffold employed a functionalized layer of polydopamine on electrospun poly(ε-caprolactone) nanofibers, thereby enhancing the efficient incorporation of exosomes through a synergistic interplay of adhesive forces, hydrogen bonding, and electrostatic interactions. First, the mesenchymal stem cell-derived exosomes and the neural stem cell-derived exosomes were found to modulate microglial polarization toward M2 phenotype, play an important role in the modulation of inflammatory responses, and augment axonal outgrowth and neural repair in PC12 cells. Second, the nanofibrous scaffold loaded with dual stem cell-derived exosomes (Duo-Exo@NF) accelerated functional recovery in a murine traumatic brain injury model, as it mitigated the presence of reactive astrocytes and microglia while elevating the levels of growth associated protein-43 and doublecortin. Additionally, multiomics analysis provided mechanistic insights into how dual stem cell-derived exosomes exerted its therapeutic effects. These findings collectively suggest that our novel Duo-Exo@NF system could function as an effective treatment modality for traumatic brain injury using sustained local delivery of dual exosomes from stem cells.

How to Define and Meet Blood Pressure Targets After Traumatic Brain Injury: A Narrative Review.

BACKGROUND: Traumatic brain injury (TBI) poses a significant challenge to healthcare providers, necessitating meticulous management of hemodynamic parameters to optimize patient outcomes. This article delves into the critical task of defining and meeting continuous arterial blood pressure (ABP) and cerebral perfusion pressure (CPP) targets in the context of severe TBI in neurocritical care settings. METHODS: We narratively reviewed existing literature, clinical guidelines, and emerging technologies to propose a comprehensive approach that integrates real-time monitoring, individualized cerebral perfusion target setting, and dynamic interventions. RESULTS: Our findings emphasize the need for personalized hemodynamic management, considering the heterogeneity of patients with TBI and the evolving nature of their condition. We describe the latest advancements in monitoring technologies, such as autoregulation-guided ABP/CPP treatment, which enable a more nuanced understanding of cerebral perfusion dynamics. By incorporating these tools into a proactive monitoring strategy, clinicians can tailor interventions to optimize ABP/CPP and mitigate secondary brain injury. DISCUSSION: Challenges in this field include the lack of standardized protocols for interpreting multimodal neuromonitoring data, potential variability in clinical decision-making, understanding the role of cardiac output, and the need for specialized expertise and customized software to have individualized ABP/CPP targets regularly available. The patient outcome benefit of monitoring-guided ABP/CPP target definitions still needs to be proven in patients with TBI. CONCLUSIONS: We recommend that the TBI community take proactive steps to translate the potential benefits of personalized ABP/CPP targets, which have been implemented in certain centers, into a standardized and clinically validated reality through randomized controlled trials.

Early biomarkers in the presymptomatic phase of cognitive impairment: changes in the endocannabinoidome and serotonergic pathways in Alzheimer's-prone mice after mTBI.

BACKGROUND: Despite extensive studies on the neurobiological correlates of traumatic brain injury (TBI), little is known about its molecular determinants on long-term consequences, such as dementia and Alzheimer's disease (AD). METHODS: Here, we carried out behavioural studies and an extensive biomolecular analysis, including inflammatory cytokines, gene expression and the combination of LC-HRMS and MALDI-MS Imaging to elucidate the targeted metabolomics and lipidomics spatiotemporal alterations of brains from wild-type and APP-SWE mice, a genetic model of AD, at the presymptomatic stage, subjected to mild TBI. RESULTS: We found that brain injury does not affect cognitive performance in APP-SWE mice. However, we detected an increase of key hallmarks of AD, including Aß1-42 levels and BACE1 expression, in the cortices of traumatized transgenic mice. Moreover, significant changes in the expanded endocannabinoid (eCB) system, or endocannabinoidome (eCBome), occurred, including increased levels of the endocannabinoid 2-AG in APP-SWE mice in both the cortex and hippocampus, and N-acylserotonins, detected for the first time in the brain. The gene expression of enzymes for the biosynthesis and inactivation of eCBs and eCB-like mediators, and some of their main molecular targets, also underwent significant changes. We also identified the formation of heteromers between cannabinoid 1 (CB1) and serotonergic 2A (5HT2A) receptors, whose levels increased in the cortex of APP-SWE mTBI mice, possibly contributing to the exacerbated pathophysiology of AD induced by the trauma. CONCLUSIONS: Mild TBI induces biochemical changes in AD genetically predisposed mice and the eCBome may play a role in the pathogenetic link between brain injury and neurodegenerative disorders also by interacting with the serotonergic system.

Traumatic brain injury inducing swift transition from syndrome of inappropriate antidiuretic hormone secretion to central diabetes insipidus: a case report.

Heavy traumatic brain injury (TBI) may lead to the manifestation of either syndrome of inappropriate secretion of antidiuretic hormones (SIADH) or central diabetes insipidus (CDI). We present a case of TBI where SIADH transformed into CDI within a remarkably short timeframe. A previously healthy 4-yr-old boy was admitted to our hospital with hyponatremia and elevated urinary sodium level on the day following a traumatic head injury. Within 150 min after initiating SIADH treatment, a significant increase in urine volume and a decrease in urinary sodium levels were observed. Therefore, the treatment plan was modified to include desmopressin. By the 5th day of admission, the urine volume gradually stabilized and normalized without the need for further desmopressin treatment. Mild TBI can give rise to various conditions that may undergo rapid changes. Closely monitoring serum and urine electrolytes, along with urine volume, is imperative for the administration of appropriate and timely treatment.

Bezafibrate protects blood-brain barrier (BBB) integrity against traumatic brain injury mediated by AMPK.

Bezafibrate (BEZ) has displayed a wide range of neuroprotective effects in different types of neurological diseases. However, its pharmacological function in traumatic brain injury (TBI) is still unknown. In the current study, a TBI model was constructed in mice to examine the potential beneficial roles of BEZ. After TBI, mice were daily dieted with BEZ or vehicle solution. The motor function, learning and memory, brain edema, vascular inflammatory factors, the integrity of the blood-brain barrier (BBB), and the expression of the tight junction zona occludens 1 (ZO-1) were assessed. The findings demonstrate that after TBI, BEZ treatment significantly promoted the recovery of motor function and cognitive function deficits. Moreover, BEZ attenuated brain edema by reducing the levels of brain water content. We also found that administration of BEZ alleviated cerebral vascular pro-inflammation by suppressing the expression of ICAM-1, VCAM-1, and E-selectin. Notably, BEZ improved the impaired BBB integrity in TBI mice by restoring the expression of the tight junction (TJ) protein ZO-1. Further in vitro experiments show that treatment with BEZ prevented the aggravation of endothelial permeability and restored the reduction of trans-epithelial electrical resistance (TEER) as well as the expression of ZO-1 in TBI-exposed brain bEnd.3 cells. Mechanistically, we prove that the protective effects of BEZ are mediated by AMPK. Based on these findings, we conclude that BEZ improves TBI-induced BBB injury and it might be considered for the treatment or management of TBI.

Intervention-Induced Changes in Balance and Task-Dependent Neural Activity in Adults with Acquired Brain Injury: A Pilot Randomized Control Trial.

Advances in neuroimaging technology, like functional near-infrared spectroscopy (fNIRS), support the evaluation of task-dependent brain activity during functional tasks, like balance, in healthy and clinical populations. To date, there have been no studies examining how interventions, like yoga, impact task-dependent brain activity in adults with chronic acquired brain injury (ABI). This pilot study compared eight weeks of group yoga (active) to group exercise (control) on balance and task-dependent neural activity outcomes. Twenty-three participants were randomized to yoga (n = 13) or exercise groups (n = 10). Neuroimaging and balance performance data were collected simultaneously using a force plate and mobile fNIRS device before and after interventions. Linear mixed-effects models were used to evaluate the effect of time, time x group interactions, and simple (i.e., within-group) effects. Regardless of group, all participants had significant balance improvements after the interventions. Additionally, regardless of group, there were significant changes in task-dependent neural activity, as well as distinct changes in neural activity within each group. In summary, using advances in sensor technology, we were able to demonstrate preliminary evidence of intervention-induced changes in balance and neural activity in adults with ABI. These preliminary results may provide an important foundation for future neurorehabilitation studies that leverage neuroimaging methods, like fNIRS.