"Omics" in traumatic brain injury: novel approaches to a complex disease

Background: To date, there is neither any pharmacological treatment with efficacy in traumatic brain injury (TBI) nor any method to halt the disease progress. This is due to an incomplete understanding of the vast complexity of the biological cascades and failure to appreciate the diversity of secondary injury mechanisms in TBI. In recent years, techniques for high-throughput characterization and quantification of biological molecules that include genomics, proteomics, and metabolomics have evolved and referred to as omics.Methods: In this narrative review, we highlight how omics technology can be applied to potentiate diagnostics and prognostication as well as to advance our understanding of injury mechanisms in TBI.Results: The omics platforms provide possibilities to study function, dynamics, and alterations of molecular pathways of normal and TBI disease states. Through advanced bioinformatics, large datasets of molecular information from small biological samples can be analyzed in detail and provide valuable knowledge of pathophysiological mechanisms, to include in prognostic modeling when connected to clinically relevant data. In such a complex disease as TBI, omics enables broad categories of studies from gene compositions associated with susceptibility to secondary injury or poor outcome, to potential alterations in metabolites following TBI.Conclusion: The field of omics in TBI research is rapidly evolving. The recent data and novel methods reviewed herein may form the basis for improved precision medicine approaches, development of pharmacological approaches, and individualization of therapeutic efforts by implementing mathematical "big data" predictive modeling in the near future.</p

Endoscopic third ventriculostomy for adults with hydrocephalus : creating a prognostic model for success: protocol for a retrospective multicentre study (Nordic ETV)

Introduction Endoscopic third ventriculostomy (ETV) is becoming an increasingly widespread treatment for hydrocephalus, but research is primarily based on paediatric populations. In 2009, Kulkarni et al created the ETV Success score to predict the outcome of ETV in children. The purpose of this study is to create a prognostic model to predict the success of ETV for adult patients with hydrocephalus. The ability to predict who will benefit from an ETV will allow better primary patient selection both for EN and shunting. This would reduce additional second procedures due to primary treatment failure. A success score specific for adults could also be used as a communication tool to provide better information and guidance to patients. Methods and analysis The study will adhere to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis reporting guidelines and conducted as a retrospective chart review of all patients >= 18 years of age treated with EN at the participating centres between 1 January 2010 and 31 December 2018. Data collection is conducted locally in a standardised database. Univariate analysis will be used to identify several strong predictors to be included in a multivariate logistic regression model. The model will be validated using K-fold cross validation. Discrimination will be assessed using area under the receiver operating characteristic curve (AUROC) and calibration with calibration belt plots. Ethics and dissemination The study is approved by appropriate ethics or patient safety boards in all participating countries.Peer reviewe

Endoscopic third ventriculostomy for adults with hydrocephalus: creating a prognostic model for success: protocol for a retrospective multicentre study (Nordic ETV)

Introduction Endoscopic third ventriculostomy (ETV) is becoming an increasingly widespread treatment for hydrocephalus, but research is primarily based on paediatric populations. In 2009, Kulkarni et al created the ETV Success score to predict the outcome of ETV in children. The purpose of this study is to create a prognostic model to predict the success of ETV for adult patients with hydrocephalus. The ability to predict who will benefit from an ETV will allow better primary patient selection both for EN and shunting. This would reduce additional second procedures due to primary treatment failure. A success score specific for adults could also be used as a communication tool to provide better information and guidance to patients.Methods and analysis The study will adhere to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis reporting guidelines and conducted as a retrospective chart review of all patients >= 18 years of age treated with EN at the participating centres between 1 January 2010 and 31 December 2018. Data collection is conducted locally in a standardised database. Univariate analysis will be used to identify several strong predictors to be included in a multivariate logistic regression model. The model will be validated using K-fold cross validation. Discrimination will be assessed using area under the receiver operating characteristic curve (AUROC) and calibration with calibration belt plots.Ethics and dissemination The study is approved by appropriate ethics or patient safety boards in all participating countries.</p

Clinical Consequences of Axonal Injury in Traumatic Brain Injury

Traumatic brain injury (TBI), mainly caused by road-traffic accidents and falls, is a leading cause of mortality. Survivors often display debilitating motor, sensory and cognitive symptoms, leading to reduced quality of life and a profound economic burden to society. Additionally, TBI is a risk factor for future neurodegenerative disorders including Alzheimer’s disease (AD). Commonly, TBI is categorized into focal and diffuse injuries, and based on symptom severity into mild, moderate and severe TBI. Diffuse axonal injury (DAI), biomechanically caused by rotational acceleration-deceleration forces at impact, is characterized by widespread axonal injury in superficial and deep white substance. DAI comprises a clinical challenge due to its variable course and unreliable prognostic methods. Furthermore, axonal injury may convey the link to neurodegeneration since molecules associated with neurodegenerative events aggregate in injured axons. The aim of this thesis was to study clinical consequences of axonal injury, its detection and pathological features, and potential link to neurodegeneration in severe TBI patients treated at the neurointensive care unit at Uppsala University Hospital. In paper I and IV DAI patients were studied for the relation of elevated intracranial pressure (ICP) and poor outcome to axonal injury on magnetic resonance imaging. In paper II, soluble amyloid-beta aggregates (oligomers and protofibrils), characteristic of AD pathology, were investigated in surgically resected brain tissue from severe TBI patients, using highly-selective Enzyme-Linked ImmunoSorbent Assays. In paper III, brain tissue biopsy samples from TBI patients with either focal injury or DAI were examined for differential proteome profiles using mass spectrometry-based proteomics. The results provide evidence that axonal injury, located in the central brain stem, in substantia nigra and the mesencephalic tegmentum, is particularly related to poor outcome and increased ICP during neurointensive care of DAI patients. A novel classification system for prognostication after DAI is proposed. Furthermore, the thesis shows that severe TBI induces rapid accumulation of neurotoxic soluble amyloid-beta oligomers and protofibrils. In addition, DAI initiates unique proteome profiles different from that of focal TBI in structurally normal-appearing brain. These findings have implication for the clinical management of DAI patients, and provide new insight in the neuropathological consequences of axonal injury

Clinical Consequences of Axonal Injury in Traumatic Brain Injury

Traumatic brain injury (TBI), mainly caused by road-traffic accidents and falls, is a leading cause of mortality. Survivors often display debilitating motor, sensory and cognitive symptoms, leading to reduced quality of life and a profound economic burden to society. Additionally, TBI is a risk factor for future neurodegenerative disorders including Alzheimer’s disease (AD). Commonly, TBI is categorized into focal and diffuse injuries, and based on symptom severity into mild, moderate and severe TBI. Diffuse axonal injury (DAI), biomechanically caused by rotational acceleration-deceleration forces at impact, is characterized by widespread axonal injury in superficial and deep white substance. DAI comprises a clinical challenge due to its variable course and unreliable prognostic methods. Furthermore, axonal injury may convey the link to neurodegeneration since molecules associated with neurodegenerative events aggregate in injured axons. The aim of this thesis was to study clinical consequences of axonal injury, its detection and pathological features, and potential link to neurodegeneration in severe TBI patients treated at the neurointensive care unit at Uppsala University Hospital. In paper I and IV DAI patients were studied for the relation of elevated intracranial pressure (ICP) and poor outcome to axonal injury on magnetic resonance imaging. In paper II, soluble amyloid-beta aggregates (oligomers and protofibrils), characteristic of AD pathology, were investigated in surgically resected brain tissue from severe TBI patients, using highly-selective Enzyme-Linked ImmunoSorbent Assays. In paper III, brain tissue biopsy samples from TBI patients with either focal injury or DAI were examined for differential proteome profiles using mass spectrometry-based proteomics. The results provide evidence that axonal injury, located in the central brain stem, in substantia nigra and the mesencephalic tegmentum, is particularly related to poor outcome and increased ICP during neurointensive care of DAI patients. A novel classification system for prognostication after DAI is proposed. Furthermore, the thesis shows that severe TBI induces rapid accumulation of neurotoxic soluble amyloid-beta oligomers and protofibrils. In addition, DAI initiates unique proteome profiles different from that of focal TBI in structurally normal-appearing brain. These findings have implication for the clinical management of DAI patients, and provide new insight in the neuropathological consequences of axonal injury

Current Opportunities for Clinical Monitoring of Axonal Pathology in Traumatic Brain injury

Traumatic brain injury (TBI) is a multidimensional and highly complex disease commonly resulting in widespread injury to axons, due to rapid inertial acceleration/deceleration forces transmitted to the brain during impact. Axonal injury leads to brain network dysfunction, significantly contributing to cognitive and functional impairments frequently observed in TBI survivors. Diffuse axonal injury (DAI) is a clinical entity suggested by impaired level of consciousness and coma on clinical examination and characterized by widespread injury to the hemispheric white matter tracts, the corpus callosum and the brain stem. The clinical course of DAI is commonly unpredictable and it remains a challenging entity with limited therapeutic options, to date. Although axonal integrity may be disrupted at impact, the majority of axonal pathology evolves over time, resulting from delayed activation of complex intracellular biochemical cascades. Activation of these secondary biochemical pathways may lead to axonal transection, named secondary axotomy, and be responsible for the clinical decline of DAI patients. Advances in the neurocritical care of TBI patients have been achieved by refinements in multimodality monitoring for prevention and early detection of secondary injury factors, which can be applied also to DAI. There is an emerging role for biomarkers in blood, cerebrospinal fluid, and interstitial fluid using microdialysis in the evaluation of axonal injury in TBI. These biomarker studies have assessed various axonal and neuroglial markers as well as inflammatory mediators, such as cytokines and chemokines. Moreover, modern neuroimaging can detect subtle or overt DAI/white matter changes in diffuse TBI patients across all injury severities using magnetic resonance spectroscopy, diffusion tensor imaging, and positron emission tomography. Importantly, serial neuroimaging studies provide evidence for evolving axonal injury. Since axonal injury may be a key risk factor for neurodegeneration and dementias at long-term following TBI, the secondary injury processes may require prolonged monitoring. The aim of the present review is to summarize the clinical short-and long-term monitoring possibilities of axonal injury in TBI. Increased knowledge of the underlying pathophysiology achieved by advanced clinical monitoring raises hope for the development of novel treatment strategies for axonal injury in TBI

"Omics" in traumatic brain injury : novel approaches to a complex disease

Background To date, there is neither any pharmacological treatment with efficacy in traumatic brain injury (TBI) nor any method to halt the disease progress. This is due to an incomplete understanding of the vast complexity of the biological cascades and failure to appreciate the diversity of secondary injury mechanisms in TBI. In recent years, techniques for high-throughput characterization and quantification of biological molecules that include genomics, proteomics, and metabolomics have evolved and referred to as omics. Methods In this narrative review, we highlight how omics technology can be applied to potentiate diagnostics and prognostication as well as to advance our understanding of injury mechanisms in TBI. Results The omics platforms provide possibilities to study function, dynamics, and alterations of molecular pathways of normal and TBI disease states. Through advanced bioinformatics, large datasets of molecular information from small biological samples can be analyzed in detail and provide valuable knowledge of pathophysiological mechanisms, to include in prognostic modeling when connected to clinically relevant data. In such a complex disease as TBI, omics enables broad categories of studies from gene compositions associated with susceptibility to secondary injury or poor outcome, to potential alterations in metabolites following TBI. Conclusion The field of omics in TBI research is rapidly evolving. The recent data and novel methods reviewed herein may form the basis for improved precision medicine approaches, development of pharmacological approaches, and individualization of therapeutic efforts by implementing mathematical “big data” predictive modeling in the near future

Incidence of trigeminal neuralgia : A population-based study in Central Sweden

Background The primary aim of this observational study was to determine the incidence of trigeminal neuralgia (TN) in a county in central Sweden. The secondary aim was to investigate TN characteristics including the affected side and nerve branches. Methods Patients that received the ICD-10 diagnostic codes TN (G50.0), atypical facial pain (G50.1) and other/unspecified disorder of the trigeminal nerve (G50.8 and G50.9) in Uppsala County, between 2009 and 2017, were eligible for inclusion. Case ascertainment was conducted by the authors by review of the medical records. Results The incidence of TN was estimated to be 5.5 (95% confidence interval 4.7–6.4) per 100,000 person-years. The incidence increased with age, from 0.1 in 0- to 19-year-olds to 23.1 per 100,000 person-years in 80+-year-olds. Females exhibited a higher incidence at 7.3 than males at 3.7 per 100,000 person-years. Most of the trigeminal neuralgia cases were diagnosed in the Neurology department (47%). Trigeminal neuralgia was most frequently right sided (59%) and limited to one cranial nerve V-branch, of which V2 was the most common. Conclusions Trigeminal neuralgia incidence was estimated to be 5.5 per 100,000 person-years. The incidence was higher for females and increased with older age. Significance There is limited knowledge about the true incidence of trigeminal neuralgia. This manuscript provides an estimate of 5.5 cases per 100,000 person-years, by using a thorough case ascertainment methodology

Outcome after microvascular decompression for trigeminal neuralgia in a single center : relation to sex and severity of neurovascular conflict

BACKGROUND: Trigeminal neuralgia (TN), a severe type of facial pain, is mainly caused by a neurovascular conflict (NVC). The severity of the NVC seems associated with the outcome following microvascular decompression (MVD) surgery. This study aimed to investigate the outcome after MVD and whether it is affected by NVC severity and sex. METHODS: TN patients (n = 109) were followed for 5 to 10 years after MVD. Barrow Neurology Index (BNI), Patients Global Impression of Change (PGIC), complications, and time to relapse were evaluated. The NVC severity was retrospectively reviewed from presurgical MRI. Demographic and clinical factors and NVC severity were analyzed for potential association with outcome after MVD. RESULTS: The success rate (BNI ≤ 2) was 80% after 5 to 10 years follow-up for TN patients with severe NVC (grade 2-3) and 56% for TN patients with mild NVC (grade 0-1, P = 0.003). No sex difference was observed in outcome for patients with both mild (P = 0.924) and severe NVC (P = 0.883) respectively. Three patients (2.8%) during the hospital stay, and two patients (1.8%) at 6 weeks, experienced a complication requiring invasive treatment. At long-term 52/109 patients (47.7%) reported some type of persistent adverse event, of which the majority were mild and required no treatment. CONCLUSIONS: MVD offers an 80% probability of long-term pain relief in TN patients with severe NVC, with low frequency of serious complications. NVC severity significantly affects outcome after MVD, while no sex differences in outcome were found. In consistency with previous work, the results stress the importance of adequate neuroradiological assessment of the NVC for preoperative patient selection

Proteomic differences between focal and diffuse traumatic brain injury in human brain tissue

The early molecular response to severe traumatic brain injury (TBI) was evaluated using biopsies of structurally normal-appearing cortex, obtained at location for intracranial pressure (ICP) monitoring, from 16 severe TBI patients. Mass spectrometry (MS; label free and stable isotope dimethyl labeling) quantitation proteomics showed a strikingly different molecular pattern in TBI in comparison to cortical biopsies from 11 idiopathic normal pressure hydrocephalus patients. Diffuse TBI showed increased expression of peptides related to neurodegeneration (Tau and Fascin, p &lt; 0.05), reduced expression related to antioxidant defense (Glutathione S-transferase Mu 3, Peroxiredoxin-6, Thioredoxin-dependent peroxide reductase; p &lt; 0.05) and increased expression of potential biomarkers (e.g. Neurogranin, Fatty acid-binding protein, heart p &lt; 0.05) compared to focal TBI. Proteomics of human brain biopsies displayed considerable molecular heterogeneity among the different TBI subtypes with consequences for the pathophysiology and development of targeted treatments for TBI