Head Kinematics, Blood Biomarkers and Histology in Large Animal Models of Traumatic Brain Injury and Hemorrhagic Shock.

Traumatic brain injury (TBI) and severe blood loss resulting in hemorrhagic shock (HS) are each leading causes of mortality and morbidity worldwide, and present additional treatment considerations when comorbid (TBI+HS) due to competing pathophysiological responses. The current study rigorously quantified injury biomechanics with high precision sensors and examined whether blood-based surrogate markers were altered in general trauma as well as post-neurotrauma. Eighty-nine sexually mature male and female Yucatan swine were subjected to a closed-head TBI+HS (40% of circulating blood volume; N=68), HS only (N=9), or sham trauma (N=12). Markers of systemic (e.g., glucose, lactate) and neural functioning were obtained at baseline, 35 and 295 minutes post-trauma. Opposite and approximately two-fold differences existed for both magnitude (device>head) and duration (head>device) of quantified injury biomechanics. Circulating levels of neurofilament light chain (NFL), glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) demonstrated differential sensitivity for both general trauma (HS) and neurotrauma (TBI+HS) relative to shams in a temporally dynamic fashion. GFAP and NFL were both strongly associated with changes in systemic markers during general trauma, and exhibited consistent time-dependent changes in individual sham animals. Finally, circulating GFAP was associated with histopathological markers of diffuse axonal injury and blood-brain barrier breach, as well as variations in device kinematics following TBI+HS. Current findings therefore highlight the need to directly quantify injury biomechanics with head mounted sensors and suggest that GFAP, NFL and UCH-L1 are sensitive to multiple forms of trauma rather than having a single pathological indication (e.g., GFAP=astrogliosis).

[1]  D. K. Cullen,et al.  Non-Linear Device Head Coupling and Temporal Delays in Large Animal Acceleration Models of Traumatic Brain Injury , 2022, Annals of Biomedical Engineering.

[2]  Lee F. Gabler,et al.  Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury. , 2021, Journal of Biomechanical Engineering.

[3]  A. Mayer,et al.  17α-Ethinyl estradiol-3-sulfate increases survival and hemodynamic functioning in a large animal model of combined traumatic brain injury and hemorrhagic shock: a randomized control trial , 2021, Critical Care.

[4]  D. Wunsch,et al.  Blood biomarkers for mild traumatic brain injury: a selective review of unresolved issues , 2021, Biomarker Research.

[5]  P. Kochanek,et al.  Roadmap for Advancing Pre-Clinical Science in Traumatic Brain Injury , 2021, Journal of neurotrauma.

[6]  D. K. Cullen,et al.  Reproducibility and Characterization of Head Kinematics During a Large Animal Acceleration Model of Traumatic Brain Injury , 2021, Frontiers in Neurology.

[7]  S. Shultz,et al.  The Known Unknowns: An Overview of the State of Blood-based Protein Biomarkers of Mild Traumatic Brain Injury. , 2021, Journal of neurotrauma.

[8]  R. Mychasiuk,et al.  Temporal profile and utility of serum neurofilament light in a rat model of mild traumatic brain injury , 2021, Experimental Neurology.

[9]  Julia J. Mack,et al.  ENDOTHELIAL CONTROL OF CEREBRAL BLOOD FLOW. , 2021, The American journal of pathology.

[10]  S. Margulies,et al.  Sport- and Gender-Based Differences in Head Impact Exposure and Mechanism in High School Sports , 2021, Orthopaedic journal of sports medicine.

[11]  Kevin F. Bieniek,et al.  The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy , 2021, Journal of neuropathology and experimental neurology.

[12]  S. Lehmann,et al.  Peripheral Blood and Salivary Biomarkers of Blood–Brain Barrier Permeability and Neuronal Damage: Clinical and Applied Concepts , 2021, Frontiers in Neurology.

[13]  Taotao Wu,et al.  Evaluation of Tissue-Level Brain Injury Metrics Using Species-Specific Simulations. , 2021, Journal of neurotrauma.

[14]  I. Shimomura,et al.  Renal function is associated with blood neurofilament light chain level in older adults , 2020, Scientific Reports.

[15]  B. Pukenas,et al.  Evaluation of Diffusion Tensor Imaging and Fluid Based Biomarkers in a Large Animal Trial of Cyclosporine in Focal Traumatic Brain Injury. , 2020, Journal of neurotrauma.

[16]  S. Margulies,et al.  Head Impact Sensor Studies In Sports: A Systematic Review Of Exposure Confirmation Methods , 2020, Annals of Biomedical Engineering.

[17]  D. K. Cullen,et al.  Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics. , 2020, Journal of biomechanical engineering.

[18]  P. Kochanek,et al.  Circulating GFAP and Iba-1 levels are associated with pathophysiological sequelae in the thalamus in a pig model of mild TBI , 2020, Scientific Reports.

[19]  A. Mayer,et al.  Fluid Biomarkers of Pediatric Mild Traumatic Brain Injury: A Systematic Review. , 2020, Journal of neurotrauma.

[20]  Alexander T. Williams,et al.  Resuscitation from hemorrhagic shock after traumatic brain injury with polymerized hemoglobin , 2020, Scientific Reports.

[21]  J. Savitz,et al.  A Prospective Study of Acute Blood‐Based Biomarkers for Sport‐Related Concussion , 2020, Annals of neurology.

[22]  S. Margulies,et al.  Head Rotational Kinematics, Tissue Deformations, and Their Relationships to the Acute Traumatic Axonal Injury , 2020, Journal of biomechanical engineering.

[23]  C. Enzinger,et al.  Serum neurofilament light levels in normal aging and their association with morphologic brain changes , 2020, Nature Communications.

[24]  A. Saykin,et al.  Association of Blood Biomarkers With Acute Sport-Related Concussion in Collegiate Athletes , 2020, JAMA network open.

[25]  E. Kuhl,et al.  Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models , 2019, Computational Mechanics.

[26]  A. Mayer,et al.  A systematic review of large animal models of combined traumatic brain injury and hemorrhagic shock , 2019, Neuroscience & Biobehavioral Reviews.

[27]  Eamon T. Campolettano,et al.  Accounting for Variance in Concussion Tolerance Between Individuals: Comparing Head Accelerations Between Concussed and Physically Matched Control Subjects , 2019, Annals of Biomedical Engineering.

[28]  K. Roberts,et al.  A Systematic Review of Closed Head Injury Models of Mild Traumatic Brain Injury in Mice and Rats , 2019, Journal of neurotrauma.

[29]  J. Bavaria,et al.  Observational study of long-term persistent elevation of neurodegeneration markers after cardiac surgery , 2019, Scientific Reports.

[30]  I. Chaudry,et al.  Gender differences in trauma, shock and sepsis , 2018, Military Medical Research.

[31]  Aaron M Williams,et al.  Valproic Acid Treatment Decreases Serum Glial Fibrillary Acidic Protein and Neurofilament Light Chain Levels in Swine Subjected to Traumatic Brain Injury. , 2018, Journal of Neurotrauma.

[32]  K. Blennow,et al.  Association of Changes in Plasma Neurofilament Light and Tau Levels With Anesthesia and Surgery: Results From the CAPACITY and ARCADIAN Studies , 2018, JAMA neurology.

[33]  S. Margulies,et al.  Improved prediction of direction‐dependent, acute axonal injury in piglets , 2018, Journal of neuroscience research.

[34]  David B. Camarillo,et al.  Comparison of video-based and sensor-based head impact exposure , 2018, bioRxiv.

[35]  D. K. Cullen,et al.  Mechanical disruption of the blood–brain barrier following experimental concussion , 2018, Acta Neuropathologica.

[36]  G. Manley,et al.  An update on diagnostic and prognostic biomarkers for traumatic brain injury , 2018, Expert review of molecular diagnostics.

[37]  Mayur B. Patel,et al.  Acute Management of Traumatic Brain Injury. , 2017, The Surgical clinics of North America.

[38]  Christine M Baugh,et al.  Clinicopathological Evaluation of Chronic Traumatic Encephalopathy in Players of American Football , 2017, JAMA.

[39]  Olga Minaeva,et al.  Considerations for Experimental Animal Models of Concussion, Traumatic Brain Injury, and Chronic Traumatic Encephalopathy—These Matters Matter , 2017, Front. Neurol..

[40]  D. K. Cullen,et al.  Rapid neuroinflammatory response localized to injured neurons after diffuse traumatic brain injury in swine , 2017, Experimental Neurology.

[41]  William R. Bussone,et al.  Six-Degree-of-Freedom Accelerations: Linear Arrays Compared with Angular Rate Sensors in Impact Events , 2017 .

[42]  Peter J Hellyer,et al.  Computational modelling of traumatic brain injury predicts the location of chronic traumatic encephalopathy pathology , 2017, Brain : a journal of neurology.

[43]  K. Blennow,et al.  Fluid biomarkers for mild traumatic brain injury and related conditions , 2016, Nature Reviews Neurology.

[44]  Jason F Luck,et al.  Bandwidth and sample rate requirements for wearable head impact sensors. , 2016, Journal of biomechanics.

[45]  D. A. Bergstrom,et al.  Pre-Clinical Traumatic Brain Injury Common Data Elements: Toward a Common Language Across Laboratories. , 2015, Journal of neurotrauma.

[46]  Robert G. Nagele,et al.  Sevoflurane and Isoflurane induce structural changes in brain vascular endothelial cells and increase blood−brain barrier permeability: Possible link to postoperative delirium and cognitive decline , 2015, Brain Research.

[47]  D. Agoston,et al.  The Temporal Pattern of Changes in Serum Biomarker Levels Reveals Complex and Dynamically Changing Pathologies after Exposure to a Single Low-Intensity Blast in Mice , 2015, Front. Neurol..

[48]  David B. Camarillo,et al.  In Vivo Evaluation of Wearable Head Impact Sensors , 2015, Annals of Biomedical Engineering.

[49]  Douglas H. Smith,et al.  Axonal pathology in traumatic brain injury , 2013, Experimental Neurology.

[50]  Michael Chopp,et al.  Animal models of traumatic brain injury , 2013, Nature Reviews Neuroscience.

[51]  Douglas H. Smith,et al.  Traumatic brain injury and amyloid-β pathology: a link to Alzheimer's disease? , 2010, Nature Reviews Neuroscience.

[52]  R.J.H. Cloots,et al.  Biomechanics of Traumatic Brain Injury: Influences of the Morphologic Heterogeneities of the Cerebral Cortex , 2008, Annals of Biomedical Engineering.

[53]  M. Eckenhoff,et al.  Inhaled Anesthetic Enhancement of Amyloid-&bgr; Oligomerization and Cytotoxicity , 2004, Anesthesiology.

[54]  H. Bramlett,et al.  Delayed Hemorrhagic Hypotension Exacerbates the Hemodynamic and Histopathologic Consequences of Traumatic Brain Injury in Rats , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[55]  T A Gennarelli,et al.  Biomechanical analysis of experimental diffuse axonal injury. , 1995, Journal of neurotrauma.

[56]  E. Nemoto,et al.  Glucose Transport across the Rat Blood—Brain Barrier during Anesthesia , 1978, Anesthesiology.

[57]  D. K. Cullen,et al.  SNTF immunostaining reveals previously undetected axonal pathology in traumatic brain injury , 2015, Acta Neuropathologica.

[58]  A. McKee,et al.  The spectrum of disease in chronic traumatic encephalopathy. , 2013, Brain : a journal of neurology.