| Literature DB >> 26016501 |
Cesar Reis1, Yuechun Wang2,3, Onat Akyol4, Wing Mann Ho5,6, Richard Applegate Ii7, Gary Stier8, Robert Martin9, John H Zhang10,11,12.
Abstract
Traumatic brain injury (TBI), defined as an alteration in brain functions caused by an external force, is responsible for high morbidity and mortality around the world. It is important to identify and treat TBI victims as early as possible. Tracking and monitoring TBI with neuroimaging technologies, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), positron emission tomography (PET), and high definition fiber tracking (HDFT) show increasing sensitivity and specificity. Classical electrophysiological monitoring, together with newly established brain-on-chip, cerebral microdialysis techniques, both benefit TBI. First generation molecular biomarkers, based on genomic and proteomic changes following TBI, have proven effective and economical. It is conceivable that TBI-specific biomarkers will be developed with the combination of systems biology and bioinformation strategies. Advances in treatment of TBI include stem cell-based and nanotechnology-based therapy, physical and pharmaceutical interventions and also new use in TBI for approved drugs which all present favorable promise in preventing and reversing TBI.Entities:
Keywords: biomarker; electrophysiology; genomic; hypothermia; microdialysis; nano particle; neuroimaging; proteomic; stem cell; traumatic brain injury
Mesh:
Substances:
Year: 2015 PMID: 26016501 PMCID: PMC4490422 DOI: 10.3390/ijms160611903
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Auto-antibodies as diagnostic marker and/or prognostic factor in traumatic brain injuries (TBI).
| Serum Auto-Antibodies | Significance | Reference |
|---|---|---|
| Anti-GFAP and GFAP break down products (BDPs) | Strong diagnostic marker and prognostic factor | Zhang |
| Anti-BMP (basic myelinprotein) | Weak diagnostic marker and prognostic factor | Ngankam |
| Anti-PL (phospholipid) | Weak diagnostic marker and prognostic factor | Ngankam |
| Anti-NMDA and Anti-AMPA | Moderate prognostic factor | Goryunova |
Potential molecular biomarkers in TBI.
| Candidate Marker | Marker Origins | Attributes | References |
|---|---|---|---|
| pNF-H (Phosphorylated Neurofilament H) | Neuron | Neuronal injury Blood levels of pNF-H levels showed significant correlations with the level of consciousness and CT findings | Ghonemi |
| NSE (neuron-specific enolase) | Neuron | Neuronal injury Neuron-specific Elevated blood NSE levels have been linked to poor outcome in severe and mild TBI | Topolovec-Vranic |
| SBDP150/SBDP145 (spectrin breakdown products) (Calpain-generated) αII-spectrin proteolysis | Axons and presynaptic terminals | Acute necrosis High level is associated with worse Glasgow Coma Scale (GCS), longer ICP elevation, and poor outcome following TBI | Mondello |
| SBDP120 (caspase-3-generated) | Axons and presynaptic terminals | Delayed apoptosis Underlying cell death mechanisms | Brophy |
| UCH-L1 (ubiquitin carboxyl-terminalhydrolase-L1) | Neuronal cell body | Neuronal cell body injury sensitive and specific biomarker elevated UCH-L1 levels are associated with lower Glasgow Coma Scale (GCS) and poor outcome after TBI | Papa |
| MAP2 (microtubule-associated protein 2) | Dendrites | Dendritic injury | Kobeissy |
| MBP (myelin basic protein) | Oligoden-drocytes/Schwann cells | Demyelination Excellent specificity, limited sensitivity | Berger |
| S100B (Calcium-Binding Protein B) and its isoforms s100A1B and s100BB | Glia cells | Glial injury Elevated blood and urine levels of s100b, 100A1B and s100BB are associated with poor outcome in TBI | Rodriguez |
| GFAP (glialfibrillary acidic protein) | Glia cells | Glial injury CNS-specificity Elevated blood GFAP levels to predict TBI outcome | Vos |
| GFAP breakdown products (GFAP-BDP) | Glia cells | Specific marker of brain damage GFAPBDP >0.68 lg/L within 24 h of injury was associated with acute traumatic lesions on the CT and with unfavorable 6-month outcome | Okonkwo |
| Angiopoietins-1/2(Ang-1/2) | Endothelia cells | Vascular injury and regeneration evaluation in plasma, serum and cerebrospinal fluid | Chittiboina |
Neuroimaging.
| Neuroimaging Techniques | Attributes | Limitation |
|---|---|---|
| Susceptibility-weighted imaging (SWI) | Microbleeding in diffuse axonal injury | Long acquisition time and sensitivity to motion artifacts |
| Diffusion-weighted imaging (DWI) | Non hemorrhagic diffuse axonal injury | Heterogeneity with large standard deviation of the ADC changes |
| Diffusion tensor imaging (DTI) | White matter integrity | FA measurement is compromised by interstitial fluid content |
| High definition fiber tractography (HDFT) | Structural brain connectivity | Restricted ability to determine crossing of fibers within a voxel |
| Functional MRI (fMRI) | Neuronal activity with cerebral oxygen consumption | Physics based factors of signal and the field inhomogeneity generated by deoxyhemoglobin |
| Magnetoencephalography (MEG) | Magnetic fields of postsynaptic ionic currents | Variety of incomparable approaches and absence of standard analyzing protocols |
| Magnetic resonance spectroscopy (MRS) | Intracellular neuronal metabolic status | Limited spatiotemporal resolution and small brain fields are challenging to analyze |
| Single-photon emission computed tomography (SPECT) | Regional cerebral blood flow | Regional cerebral blood flow changes after TBI do not always correspond to metabolism |
Indices of cerebral autoregulation.
| Index | Reference | Title |
|---|---|---|
| PRx (pressure reactivity index) | Howells | An optimal frequency range for assessing the pressure reactivity index in patients with traumatic brain injury |
| L-PRx (low-frequency pressure reactivity index) | Depreitere | Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data |
| Mx (mean index, TCD-derived) | Zweifel | Continuous monitoring of cerebrovascular pressure reactivity in patients with head injury |
| Sx (systolic flow index, TCD-derived) | Budohoski | Monitoring cerebral autoregulation after head injury. Which component of transcranial Doppler flow velocity is optimal |
| PAx (pressure-amplitude index, TCD-derived) | Radolovich | Pulsatile intracranial pressure and cerebral autoregulation after traumatic brain injury |
| PI (pulsatility index, TCD-derived) | Melo | Transcranial Doppler can predict intracranial hypertension in children with severe traumatic brain injuries |
| COx (cerebral oximetry index, NIRS-derived, Somanetics) | Brady | Continuous time-domain analysis of cerebrovascular autoregulation using NIRS |
| TOx (tissue oxygenation index, NIRS-derived, Hämamatsu) | Steiner | NIRS can monitor dynamic cerebral autoregulation in adults |
| HVx (haemoglobin volume index, NIRS-derived, Somanetics) | Lee | Noninvasive autoregulation monitoring in a swine model of pediatric cardiac arrest |
| THx (total haemoglobin reactivity index, IRS-derived, Hämamatsu) | Zweifel | Noninvasive monitoring of cerebrovascular reactivity with NIRS in head-injured patients |
| ORx (brain tissue oxygen reactivity index) | Lang | Changes in cerebral partial oxygen pressure and cerebrovascular reactivity during intracranial pressure plateau waves |
Abbrev.: TCD = Transcranial Doppler.
Clinically used microdialysis biomarkers [203].
| Marker for | Biomarker | Clinical Significance |
|---|---|---|
| Energy metabolism | Glucose | ↓ in hypoxia/ischemia |
| Lactate | ↑ in hypoxia/ischemia | |
| Pyruvate | ↓ in hypoxia/ischemia | |
| Lactate/Pyruvate Ratio | ↑ in hypoxia/ischemia = best marker for anaerobic metabolism | |
| Cellular distress | Glycerol | ↑ with destruction of cell membrane structure and generation of free radicals |
| Glutamate | ↑ in hypoxia/ischemia and excitotoxicity |
Potenial microdialysis biomarkers.
| Biomarker | Significance | Reference |
|---|---|---|
| Serum albumin | BBB disruption | Blyth |
| Hemoglobin subunit α and ß | Red blood cell degradation | Babu |
| Serotransferrin | Free iron in the brain tissue | Park |
| Creatine kinase B-type | Enhancing predictive sensitivity of S100B as a biomarker | Bazarian |
| Cystatin C | Increased autophagy | Liu |
| Apolipoprotein A-1 and E | Membrane remodeling due to cellular trauma | Mahley |
| α-2-HS-glycoprotein (Fetuin-A) | Systemic response to cerebral injury | Wang and Sama |
| Complement C3 | Activation of the innate immune response to injury | Ducruet |