Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Dec 1.
Published in final edited form as: Neurorehabil Neural Repair. 2019 Nov 13;33(12):975–988. doi: 10.1177/1545968319883879

Models of Traumatic Brain Injury in Aged Animals: a Clinical Perspective

Aiwane Iboaya 1, Janna L Harris 2,3, Alexandra Nielsen Arickx 1, Randolph J Nudo 1,4
PMCID: PMC6920554  NIHMSID: NIHMS1540766  PMID: 31722616

Abstract

Traumatic Brain Injury (TBI) is a major cause of morbidity and mortality in the United States with advanced age being one of the major predictors of poor prognosis. To replicate the mechanisms and multifaceted complexities of human TBI and develop prospective therapeutic treatments, various TBI animal models have been developed. These models have been essential in furthering our understanding of the pathophysiology and biochemical effects on brain mechanisms following TBI. Despite these advances, translating preclinical results to clinical application, particularly in the elderly, continues to be challenging. This review aims to provide a clinical perspective, identifying relevant variables currently not replicated in TBI animal models, to potentially improve translation to clinical practice, especially as it applies to elderly populations. As background for this clinical perspective, we reviewed articles indexed on PubMed from 1970–2019 that employed aged animal models for studying TBI. These studies examined endpoints relevant for clinical translation, such as neurocognitive effects, sensorimotor behavior, physiologic mechanisms, and efficacy of neuroprotective therapies. However, compared to the higher incidence of TBI in older individuals, animal studies on the basic science of aging and TBI remain remarkably scarce. Moreover, a fundamental disconnect remains between experiments in animal models of TBI and successful translation of findings for treating the older TBI population. In this paper we aim to provide a clinical perspective on the unique attributes of TBI in older individuals, as well as a critical appraisal of the research to date on TBI in aged animal models and recommendations for future studies.

Keywords: Traumatic brain injury, aging, animal models, comorbidities, translation

Introduction

Traumatic Brain Injury (TBI) is a major cause of death and disability in the United States. Based on recent surveillance data from the Centers for Disease Control and Prevention, in 2013 there were approximately 2.8 million people treated for TBI-related injuries, including 2.5 million emergency department visits (excluding hospitalizations, deaths and transfers), 282,000 hospitalizations and 56,000 deaths.1 Incidence of TBI displays a bimodal age distribution, with peaks in adolescents to young adults (15–25 years of age) and older adults (65 years of age and older).

Historically, elderly individuals have accounted for a disproportionate fraction of TBI-related injuries. In 2013, those aged ≥ 65 accounted for about 20% of the emergency department visits, 44% of hospitalizations, and 37% of TBI-related deaths. Further, those aged ≥ 75 comprise the largest proportion of hospitalizations and deaths compared with any other age group.1 Of note, TBI rates have increased in all age groups over the period from 2007 to 2013 (total = 638.8 to 884.2 per 100,000, an increase of 38.4%), but the two groups with highest percentage increases were those aged 65–74 (494.1 to 777.0 per 100,000 population, an increase of 57.3%) and those aged ≥ 75 (1,265.2 to 2,232.2 per 100,000 population, an increase of 76.4%). While in the younger age group men are three times more likely than women to sustain TBI, above the age of 65 the incidence is roughly equal in men and women. However, the incidence of TBI has decreased with age in men who were 70 years and older compared to an increase for women aged 70–89.2

In 2003, the aggregate charges for treating a principal diagnosis of TBI in patients aged 65 and older exceeded $2.2 billion3. The National Institute on Aging projects that between 1990 and 2020, the population aged 65 to 74 will grow 74% under middle series projections, while the population under age 65 will grow only 24%.4 With greater life expectancy, there is significant potential for longstanding financial impact of geriatric TBIs, both to survivors and to society at large. As the population continues to age, the costs for care and rehabilitation of those living with TBI have the potential to become a staggering drain on societal resources.

For those who survive TBI, advanced age is one of the strongest predictors of adverse outcome.2,3,5 Older adults are more likely to have complicated TBIs, even with TBIs that would otherwise be classified as mild with a Glasgow Coma Scale score (GCS) of 13–15. For example, elderly patients with GCS of 13–15 had a significantly higher rate of intracranial hemorrhage at 16% versus 5% for younger adults.5 Older adults are more likely to be hospitalized after TBI, have extended hospitalizations, more likely to be severely disabled, and a greater proportion are discharged to a nursing facility. Older adults are disproportionately affected in terms of decreased quality of life due to temporary or permanent cognitive, physical and psychosocial disability. TBI in older adults is more likely to be associated with poor memory, dependence, and slowness of thinking compared with younger adults with TBI.6 Finally, TBI also increases the risk of new onset depression in older adults.7

Beyond the direct impact of TBI on neural function, there is growing evidence that in individuals aged 65 or older, even mild TBI results in an increased risk for the development of dementia, lowers the age of onset, and alters clinical manifestations.8 Literature has described the association of TBI and dementia.9 Most studies suggest that a single moderate-to-severe TBI is the major known environmental risk factor for Alzheimer’s disease, imparting a two- to four-fold increased risk.10 TBI has also been suggested to be a risk factor for other neurodegenerative disorders associated with cognitive impairment and dementia, such as frontotemporal dementia, Parkinson’s disease and amyotrophic lateral sclerosis. Finally, the age at which TBI occurs is directly related to the probability of developing dementia and amyloid-ß plaques.10

At a time when the population continues to age, pharmacological trials for treating TBI have yielded disappointing results. For example, the use of progesterone for treating TBI acutely was based on a long history of study of its neuroprotective effects in animal models of TBI.11 After encouraging results in Phase II trials, over 2,000 patients were enrolled in two large multi-site Phase III trials. One of these was ended prematurely for futility while the other continued to completion, but showed no clinical benefit on the GCS at six months.12,13 While there is still debate regarding the most effective strategies for conducting multi-site Phase III studies for TBI, it is clear that despite strong evidence in preclinical models, translating efficacy to clinical populations remains a major hurdle.

The Problem: Paucity of preclinical TBI studies in aged animals

It is not surprising that the majority of TBI clinical trial participants are relatively young, as under-representation of older participants in clinical trials is a widespread problem.14,15 Often, phase III trials have arbitrary upper age limits and older adults are frequently excluded on the basis of polypharmacy and comorbid conditions.16 Recently, in the ProTECT III progesterone trial, while there were no specific exclusion criteria for older subjects and participants were included up to 94 years of age, the median age was 35.

Despite the high incidence of TBI in older individuals, preclinical studies have focused almost exclusively on relatively young subjects. To summarize the extant literature, we performed a search using PubMed for preclinical animal models of TBI. As TBI studies of non-human primates are exceedingly rare at any age, and other large animal models of TBI (e.g., pigs) have not used aged individuals, this review was restricted to rodents. The following keywords were used: rodent-, rats-, mice-, brain injuries-, aged-, elderly-, and animal model. References from the included studies were also screened. Original research utilizing mice or rats in studies of TBI from 1970 to July 2019 was included. Information pertaining to the TBI injury model, species, age, sex, neuropathological and physiological results and functional outcomes were tabulated.

To restrict this review to the studies most relevant to TBI in aging, we excluded studies that did not include animals at least 20 months of age. While any model of the relationship between rodent and human age is rather arbitrary, for simplicity, human age equivalence is often estimated based on a simple proportion of the total lifespan.1719 The median lifespan for the rat and mouse strains in the included studies ranged from 24 to 30 months. Thus, when human age equivalence is estimated as a fraction of the total lifespan, a mouse or rat at 20 months is equivalent to a human in their mid-50’s to mid-60’s. We excluded methods papers, review papers, in vitro studies, ischemic and hemorrhagic stroke models, and other models not specifically designed to mimic TBI (e.g., cut/stab brain injury, cryogenic lesions, excitotoxic lesions).

Surprisingly, this search resulted in only 33 articles over this period that included rats or mice at least 20 months of age (Table 1). If the criterion age was reduced to 18 months, only four additional studies were found (italicized references in Table 1). Thus, only a tiny fraction of animal model studies of TBI have been conducted in aged animals. The paucity of such studies and the slow translation to clinical practice of the findings highlight a vital need to assess the current research scope of TBI in animal models and their relevance to the elderly population. This perspective paper aims to identify relevant variables of TBI in older individuals that are currently inadequately replicated in animal models, so that we may suggest new directions for research and ultimately improve translation to clinical practice.

Table 1.

Aged Animal studies of TBI

Reference TBI model Species / Strain Age and sex Resultsa - Neuropathology and Physiology Resultsa - Functional Outcomes
Hamm, 199191 Central FPI Rat / Fischer-344 3 mo and 20 mo males No difference in acute hypertension, plasma glucose elevation, or histopathology. Higher mortality and greater acute neurological deficits
Hamm, 199292 Central FPI Rat / Fischer-344 3 mo and 20 mo males No results reported More severe motor and cognitive deficits
Maughan, 200093 Weight drop Rat / not specified 2–3 mo and 20–23 mo males Forebrain synaptosomal choline uptake decreased in aged but not young Greater cognitive deficits and slower recovery
Nakagawa, 200094 Lateral CCI Mouse / heterozygote PDAPP mice and WT littermates 22–24 mo females Decrease in abundance of Ab deposits in hippocampus of PDAPP mice ipsilateral to the site of CCI No results reported
Uryu, 200395 Lateral CCI Mouse / wild type with B6D2F1 background; alpha-synuclein knockout 4 mo and 24 mo (wild type); 16 mo (knockouts); sex not reported. Transient increase of alpha- and beta-synuclein in neuropil and induction of gamma-synuclein in subcortical axons in aged mice No results reported
Shimamura, 200496 Lateral FPI Rat / Sprague-Dawley 3–4 mo and 22–25 mo males Greater hippocampal expression of BDNF and p21, lower expression of regenerative and repair genes No results reported
Moor, 200697 Weight drop Rat / Wistar 5–6 week and 19–20 mo males Lower antioxidant mobilization of ascorbate and urate in hippocampus; more severe cell loss and axonal degeneration No results reported
Shah, 200698 Lateral FPI Mouse / C57BL/6 5–6 mo and 22–25 mo males Higher basal expression of BDNF, IL-1beta, and caspase-3, but no trauma-related differences Higher mortality
Shao, 200699 Lateral CCI Rat / Fischer-344 3 mo, 12 mo, and 22 mo males Higher lipid peroxidation, lower antioxidant activity, and greater tissue loss No results reported
Cutler, 2007100 Bilateral frontal CCI Rat / Fischer-344 20 mo males Progesterone treatment after TBI decreased expression of inflammatory and apoptotic factors (COX-2, IL-6, and NFkappaB) Improved short-term locomotor recovery after TBI and progesterone treatment
Onyszchuk, 200884 Lateral CCI Mouse / C57BL/6 5–6 mo and 21–24 mo males Prolonged cerebral edema, increased opening of BBB, more neurodegeneration Worse sensorimotor recovery
Sandhir, 200884 Lateral CCI Mouse / C57BL/6 5–6 mo and 21–24 mo males Enhanced and prolonged elevation of markers of reactive astrocytes and microglia No results reported
Anderson, 200986 Lateral CCI Mouse / C57BL/6 5–6 mo and 23–24 mo males Attenuated injury response in HIF-1alpha and related neuroprotective genes No results reported
Kasturi, 2009101 Bilateral frontal CCI Rat / Fischer-344 30 mo and 20 mo ovariectomize d females Post-traumatic edema reduction lower in aged rats with progesterone treatment No results reported
Gilmer, 2010102 Lateral CCI Rat / Fischer-344 3–5 mo and 22–24 mo males Greater post-injury dysfunction and oxidative stress in synaptic mitochondrial fraction No results reported
Sandhir, 2010103 Lateral CCI Mouse / C57BL/6 5–6 mo and 22–24 mo males Differential expression of pro-inflammatory regulators C/EBP beta, delta, and CHOP No results reported
Cekic, 2011104 Bilateral frontal CCI Rat / Fischer-344 22 mo males Increased baseline brain inflammation, exacerbated injury response, and attenuated benefits of progesterone after TBI in Vitamin-D deficient rats Progesterone + vitamin D rescued post-injury deficits on open field activity test
Wali, 2011105 Bilateral frontal CCI Rat / Fischer-344 20 mo males Lesion cavity size not affected by progesterone treatment in aged rats Progesterone improved locomotor and cognitive recovery in aged rats after TBI
Lee, 201258 Lateral CCI Mouse / C57BL/6 4–6 mo and 21–14 mo males Greater BBB permeability and matrix metalloproteinase activity, impaired BBB repair responses No results reported
Li, 2012106 Lateral CCI Rat / Wistar 20 mo males Improved hippocampal LTP; increased endothelial progenitor cells, increased blood vessel density after TBI and progesterone treatment Progesterone improved mNSS and water maze performance after TBI in aged rats
Timaru-Kast, 2012107 Lateral CCI Mouse / C57BL/6 2 mo and 21 mo males Greater cerebral edema and altered pattern of neuroinflammation; no difference in contusion volumes Higher mortality and worse mNSS
Itoh, 201387 Lateral CCI Rat / Wistar 10 week and 24 mo males Larger lesion size, greater increase in markers of oxidative damage and apoptosis Greater cognitive deficit on water maze
Itoh, 2013108 Lateral CCI Rat / Wistar 10 week and 24 mo males Decreased NSC proliferation and increased level of lipid peroxidation No results reported
*Gupta, 2013109 Weight drop Mouse (short lifespan AKR strain) 20 week and 70 week malesa Earlier post-TBI decrease in expression of potassium channel and glutamate transporter-1 expression No results reported
Hawkins, 2013110 Lateral FPI plus hemorrhagic hypotension Rat / Sprague-Dawley 4–6 and 20–24 mo males Greater reduction in MAP and CBF; no age difference in hippocampal neuronal injury No results reported
Kumar, 2013111 Lateral CCI Mouse / C57BL/6 3 mo and 24 mo males Pro-inflammatory microglia/macrophage activation state in cortex and sub-cortical regions; larger lesion volume and greater neuronal loss in hippocampus and thalamus No results reported
Sun, 2013112 Lateral FPI Rat / Sprague-Dawley 1mo and 24 mo males Higher number of TUNEL(+) cells in aged hippocampal dentate gyrus No results reported
*Ojo, 2013113 Single or repetitive closed head mild CCI Mouse / Human Tau mice on a C57BL/6 background 18 mo males and females Increased phosphortau immunoreactivity and astrocyte / microglia activation after repetitive mild TBI, but not single mild TBI; no perivascular tau pathology, neuritic threads, orastrocytic tangles No results reported
Tajiri, 2014114 Lateral CCI Rat / Fischer-344 6 mo and 20 mo males Reduced efficacy for sparing cortical damage and hippocampal cell loss in aged rats treated with stem cells Reduced efficacy in motor and cognitive recovery after TBI in aged rats treated with stem cells
Gupta, 2016115 Weight drop Mouse / (short lifespan AKR strain) 20 week and 70 week malesb Interactions of NF-κB and N-myc with GLT-1/EAAT2 promoter sequences in ipsilateral cortex of aged mice initiated immediately No results reported
Morganti, 2016116 Lateral CCI Mouse / C56BL6/J (wild type); Dbl-Het 3mo and 23 mo males and females Greater accumulation of peripherally derived CCR2(+) macrophages No results reported
*Wang, 2016117 Lateral CCI Mouse / C57BL/6 2–4 mo and 16–18 mo males Reduced neuronal damage, oxidative stress response, mitochondrial dysfunction, and SIRT3 expression in aged mice with TBI and treatment with fucoidan Reduced deficits on beam walk and Barnes maze after TBI and treatment with fucoidan
Portbury, 2017118 Lateral CCI Mouse / C57BL/6 24 mo males Elevated iron and copper levels after TBI; delayed reduction in zinc No results reported
Chou, 2018119 Lateral CCI Mouse / Dbl-Het; CCR2RFP/+; CCR2RFP/RFP 3–6 mo and 20–25 mo males Enhanced and prolonged brain elevation of peripherally-derived monocytes after TBI Greater cognitive deficit on radial arm water maze
*Krukowski, 2018120 Lateral CCI Mouse / C57BL6/J (wild type); C3−/− 19 mo males and females Prolonged brain inflammatory response measured at 30 days post TBI Blockade of complement pathway prevented cognitive deficits after TBI in aged mice.
Gupte, 2019121 Lateral CCI Rat / Fischer-344 20–22 mo males Treatment with taurine did not significantly reduce brain tissue damage after TBI Treatment with taurine did not improve sensorimotor function after TBI
*Ritzel, 201955 Lateral CCI Mouse / C57BL/6 3 mo and 18 mo males Exaggerated microglial response and increased leukocyte invasion More severe motor deficits, spontaneous locomotor activity, and anxiety-like behavior
a

In studies with different age groups or with different strains, results refer to older cohorts in comparison to younger cohorts. or transgenic strains in comparison to wild-type strains.

b

While mice in the Gupta, et al., 2013 study were only 70 weeks, this strain has a relatively short lifespan of only 75 ± 5 weeks, and thus, is included.

Abbreviations: BBB: Blood-brain barrier; BDNF: Brain-derived neurotrophic factor; CBF: Cerebral blood flow; CCI: Controlled cortical impact; ; C/EBP: CCAAT/enhancer binding protein; CHOP: CCAAT/enhancer binding protein homologous protein; COX: Cyclooxygenase; Dbl-Het: (mouse strain): CX3CR1GFP/+CCR2RFP/+ (double heterozygous); FPI: Fluid percussion injury; HIF-1alpha: Hypoxia-induced factor-1 alpha; IL: Interleukin; MAP: Mean arterial pressure; mNSS: modified neurological severity score; NFkappaB: Nuclear factor kappa-light-chain-enhancer of activated B cells; NSC: Neural stem cell; PDAPP: transgenic (TG) mice with a mutant human Ab precursor protein (APP) mini-gene driven by a platelet-derived (PD) growth factor promoter resulting in overexpression of mutant APP (V717F); TBI: traumatic brain injury; TNF: Tumor necrosis factor.

*

Studies using animals 18–19 mo of age in italics.

Challenges to modeling TBI in animals

TBI in either humans or non-human animal models induces a complex pathophysiological cascade that results in structural damage and functional deficits due to both primary and secondary injury mechanisms.20 The primary insult results from direct mechanical injury by penetration or rapid acceleration-deceleration that may result in a brain contusion at the site of injury, widespread shearing of axons, vascular injury, and/or focal damage opposite the side of impact (contracoup injury). Primary insult may lead to other sequelae including subdural hematoma from ruptured bridging blood vessels, decreased blood flow following increased intracranial pressure, infarction, and brain edema caused by increased permeability of cerebral blood vessels.21,22 Secondary injury manifests over a period of hours to days23 after the primary injury, and is the result of an additional cascade of metabolic, cellular, and molecular events that ultimately lead to brain cell death, tissue damage, and degeneration.24 Many biochemical derangements occur, including perturbation of cellular calcium homeostasis, increased free radical generation, mitochondrial dysfunction, inflammation,25 and progressive atrophy of gray and white matter.24 These events may result in functional deficits, neurobehavioral disorders, impaired memory and executive function, premature cognitive decline and premature mortality.

Modeling TBI sequalae in aged animals is challenging from a variety of perspectives, including the mechanics of the injury model, species-specific physiologic changes with aging, the interaction of comorbidities seen in human TBI patients, and the feasibility of inducing clinically-relevant brain injuries in aged animals with respect to cost and availability of aged cohorts, survivability after injury, post-injury care, and ethical considerations. As in any animal model, balancing construct validity and experimental control of relevant variables requires some compromise. Nevertheless, the current models are limited, especially with respect to replicating conditions in older populations. The following paragraphs summarize some of the key issues in TBI modeling in aged animals.

Animal models of TBI.

To study the multifaceted complexities of human TBI, animal models were initially developed to replicate certain pathological components of clinical brain trauma.26 Most animal studies of TBI utilize carefully controlled procedures carried out under sterile surgical conditions and general anesthesia. Though less common, closed-head injuries also are sometimes modeled in animals to more closely mimic clinical conditions,27,28 and some of these models utilize conscious animals, though no such studies have been conducted in aged animals.29 Animal models of TBI have enabled detailed evaluation of TBI pathology22 and functional outcomes, as well as the biomechanical, biochemical, and molecular mechanisms underlying brain injury.30 Improving our understanding of the complex molecular and cellular cascades initiated by brain injury has been a primary focus that has resulted in numerous important insights into brain injury mechanisms and potential targets for treatment.

Simulating all aspects of TBI in a single animal model is not feasible and thus, animal models of TBI are selective in their focus.30 Though larger animals may more closely model the mechanical properties of human brain injury, and some models (e.g., non-human primates) may more closely reflect neurophysiological processes and functional impairments seen in humans, rodent models are still by far the most frequently used in TBI research. However, larger, gyrencephalic brains better mimic the biomechanical and physiological conditions of human brain injury. It has been suggested that the presence of gyri influences movement of the brain within the skull, and that gyrencephalic brains experience more deformation and mechanical stress, especially at the depths of the sulci. Brain mass also affects angular acceleration and shearing forces. While rodent models have provided critical information regarding mechanisms of cell death, inflammation and regenerative responses to injury, the limitations of small lissencephalic brains in the context of modeling human TBI are many. While large animal TBI models were once common through the 1980s, they were virtually abandoned due primarily to ethical considerations. However, there has been recent interest in larger animal models, particularly in pigs.31 Translation of results to clinical populations will require renewed consideration of these large animal models for TBI in general, and particularly for developing therapeutic options for TBI in older populations.

Benefits of rodent models include their modest cost, small size, lower regulatory burden, availability of a variety of genetically-modified strains, and well-characterized outcome measurements.32 In addition, the relatively short life span of 2–3 years for most mouse and rat strains is a particular benefit for aging research. Of the numerous rodent brain injury models, the most frequently utilized are fluid percussion injury (FPI), controlled cortical impact injury (CCI), impact acceleration injury, and blast injury. Of these, only FPI and CCI have been employed in studies of aged animal models. These two models, in particular, are advantageous for human translation since it has been shown that they result in delayed seizures, paralleling the long-term clinical problem of post-traumatic epilepsy. But some post-TBI clinical phenomena, such as long-lasting coma, typically are not replicated in rodent TBI models.33

FPI model.

In the FPI model, after exposure of the skull through a craniotomy, the insult is inflicted by a pendulum striking the piston of a reservoir of fluid to generate a pressure pulse onto the intact dura.34 The craniotomy may be made either centrally around the midline, or laterally over the parietal bone. Severity can be altered by varying the height from which the pendulum is dropped, producing a larger or smaller pressure pulse. The advantages of FPI for modeling TBI are based on its ability to produce brief displacement and deformation of brain tissue, resulting in both focal and diffuse injury, intracranial hemorrhage, blood-brain barrier (BBB) disruption, brain swelling, and progressive gray and white matter damage, similar to human TBI.35 Disadvantages of the FPI model include the use of anesthesia, complicating the interpretation of the injury pathology, the requirement of a craniotomy, and the inability to replicate skull fracture and widespread contusions, often seen in moderate to severe TBI in humans. Also, mortality is higher in this model compared with other injury models.

CCI model.

In the CCI model, after exposure of the skull through a craniotomy, the injury is delivered by direct impact to the intact dura, causing deformation of the underlying cortex. A pneumatic or electromagnetic impact device is used to drive a rigid impactor onto the dural surface. This model results in acute subdural hematoma, axonal injury, BBB disruption and edema, cortical tissue loss, neurobehavioral dysfunction and even coma.35 CCI offers precise control of mechanical factors, such as velocity, angle, and depth of impact, which vary the severity of the injury and the resulting histological and functional outcomes. This better control over injury parameters results in somewhat lower mortality compared with the FPI model. It has been emphasized that CCI should not be used at high severity levels, injuring a large portion of the cerebral hemisphere, since in the clinical setting, such an injury would not be compatible with survival.33 Finally, like the FPI model, since a craniotomy is required, skull fracture cannot be replicated in the CCI model. Also, anesthesia is required, thus complicating interpretation of pathology.

Impact acceleration (weight drop) model.

Another widely used model of TBI that thus far has not been used to study aged animals is impact acceleration (weight drop). To model closed head injury, the skull of the animal is exposed to a free-falling guided weight, which generates neuronal and axonal pathology concomitant with BBB disruption36 particularly throughout the major white matter tracts of the cerebrum and brainstem.4 Severity can be altered by adjusting the mass of the weight and the height from which it falls. The sequelae of impact acceleration resemble the clinical conditions of human diffuse TBI due to motor vehicle accidents or falls36. Given that falls are the leading cause of TBI in older adults, this model would seem to have adequate face validity for studying TBI in aged animals. However, the greater difficulty in controlling impact parameters makes this model less than ideal. Like FPI and CCI, anesthesia is also required.

CHIMERA model.

One major disadvantage of current TBI models with respect to replication of the biomechanics of injuries due to falls and motor vehicle accidents is that head motion is typically constrained. In particular, rotational forces are not integrated into the model. Recently a Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA) model was developed at the University of British Columbia.37 In this model, the mouse head is supported on a foam pad in a supine position, with Velcro straps around the torso. Impact from a piston deflects the head, and after impact, the head returns to is original position. TBI induced with the CHIMERA model in mice produced loss of righting reflex, neurological, motor and cognitive deficits, anxiety-like behavior, diffuse axonal injury, and microgliosis in white matter. Development of such models that better replicate the biomechanics of injuries seen in older adults are needed.

Blast exposure model.

A focus on the movement of the brain within the skull in closed head injuries has led to nonimpact TBI models22 of blast exposure. However, the relevance of blast injury models for TBI in older individuals is marginal, since it does not replicate the type of mechanical injury seen in falls and motor vehicle accidents.

In all of these rodent models of TBI, functional deficits can be assessed with a variety of cognitive and sensorimotor behavioral tasks. Cognitive impairment is frequently measured via the Morris water maze, Y maze, and radial-arm maze to determine spatial/contextual deficits, and novel object recognition and avoidance tests for learning and memory.38 Sensorimotor impairments can be measured with the bilateral tactile adhesive removal test, skilled forelimb use (staircase test), Rotarod test, beam walk, grid walk, and grip and reaching tests.39,40

Physiologic changes with aging relevant for recovery after TBI.

Normal aging is associated with cellular, molecular, anatomic, and physiologic changes. An organ system’s ability to effectively regulate and maintain its physiologic reserve is paramount to adapting appropriately to stresses. Diseases and injuries in aging are associated with the reduced ability to properly restore a new steady state that is appropriate for the new set of conditions,41 with increased maladaptive responses to internal and external stresses. In the brain, the hippocampus has been identified as a key component of the stress response, sensing increased glucocorticoid levels and relaying information to the hypothalamus in a negative feedback loop42 to maintain homeostasis following perturbance. This decrease in function of the feedback loop worsens following TBI due to selective hippocampal cell death and is associated with cognitive impairment.43 Understanding how decreased physiologic reserve in older individuals might impact neurocognitive recovery following injury is lacking and this area warrants more research.

Molecular and cellular changes that occur in the brain during normal aging may also naturally contribute to a delayed recovery post injury.44 Aging leads to a decline in dopamine receptor densities associated with declines in cognitive and motor performance.45 Further, expression of neurotrophic factors and neurotransmitters may frequently be altered in the aging brain. In particular, changes in brain-derived neurotrophic factor and serotonin may act in concert to regulate neural plasticity, neurogenesis, and neuronal survival in multiple brain regions.46 Other factors that have been implicated include calcium dysregulation affecting multiple signaling pathways adversely influencing cellular physiology, molecular functions and, cell structure;47 mitochondrial dysfunction leading to the endogenous production of reactive oxygen species and apoptosis;48 and an increase of monoamine oxidase that is associated with the liberation of free radicals49 leading to apoptosis.

Systemic physiologic changes that occur during aging may further predispose older individuals to an exacerbated pathophysiologic response to brain trauma. Integration between brain function and peripheral metabolism is required for homeostasis and proper adaptations to aging, physical activity, or environmental stressors. Increasingly, it is being recognized that disruptions in these brain/periphery links likely play a critical role in the brain’s response to traumatic injuries. Likewise, alterations in centrally mediated processes after TBI can result in peripheral metabolic changes (in cardiac muscle, skeletal muscle and gut) impacting functional outcomes (activity, gait, motor control, postural adaptation) and posttraumatic morbidity.5056 Examples of age-associated changes that could interfere with brain/periphery metabolic links include: 1) reduction in total body water and decreased blood volume leading to a decline in cerebral blood flow which could exacerbate cell damage and/or death, 2) decreased elasticity and increased rigidity of arterial vasculature blunting the carotid baroreceptor sensitivity thus increasing the risk of end organ damage57, 3) BBB disruption that is exacerbated post-injury58 resulting in more severe traumatic edema, decreased cerebral perfusion pressure, and ischemia, 4) progressive brain atrophy leading to increased space in the cranial vault for accumulation of blood,59 and 5) increased adherence of dura to the skull and increased susceptibility of bridging veins to shearing3 leading to a greater chance of subarachnoid hemorrhage and/or subdural hematoma formation.

Comorbidity effects on aged TBI outcomes.

It is estimated that 80% of all adults aged 65 years and older have at least one chronic condition and 50% have at least two,5 compared to 28% of younger adults with a single medical condition.60 Thus, an elderly person with a TBI has a greater likelihood of chronic prescription medication use for these longstanding comorbid conditions compared to the younger TBI population. The Centers of Medicare and Medicaid Services report that the most common chronic conditions among Medicare beneficiaries (aged 65 and older) in the United States were: hypertension (58%), high cholesterol (45%), cardiovascular disease (31%), arthritis (29%), and diabetes (28%). Though it is known that these factors negatively impact clinical recovery, they are generally not modeled in animal studies of TBI in aging.6163 The following examines how common comorbid conditions might negatively impact outcomes in older adults with TBI.

Hypertension.

The incidence and prevalence of most cardiovascular disorders increases with age, and cardiovascular disease is the leading cause of death and major disability in adults ≥75 years of age.64 In a retrospective review of comorbidities in older TBI patients, hypertension was found to be the most prevalent condition.65 Chronic hypertension in the elderly has been shown to disturb the BBB which leads to changes in passage of molecules into the brain, cerebral edema, white matter changes, astrocyte activation exacerbating the neuroinflammatory cascade, and eventual cerebral ischemia and neurodegeneration.66,67 This is pertinent given the fact that brains of aged mice that were injured via moderate lateral CCI had a more prolonged post-acute opening of the BBB than younger mice, with delayed resolution of cerebral edema and greater neurodegeneration that resulted in significant sensorimotor dysfunction.40

Cardiovascular Disease.

Cardiovascular disease, which includes coronary heart disease, peripheral arterial disease, heart failure, valvular heart disease, and stroke, becomes more prevalent with age.68 Up to 66% of adults aged 75 years or older in United States and Europe take daily aspirin and/or other antiplatelet drugs69 to prevent or treat a myocardial infarction, which has a nearly seven-fold higher prevalence among individuals age 65–74 years relative to those age 35–44.68 Intracranial bleeding has been found to progress in 10 % of elderly TBI patients on clopidogrel and these patients were three times more likely to be discharged to long-term inpatient facilities. TBI patients on clopidogrel had a 14 times higher mortality rate as compared with those not on antiplatelets.70

In 2005, atrial fibrillation was estimated to affect 2.2 million Americans.68 Warfarin is frequently used for the prevention of thromboembolic events in atrial fibrillation, but it has also been linked to an exacerbation of secondary injury in the elderly following a TBI. Those on warfarin with minor head injuries (GCS ≥ 13) are 2.7 times more likely to suffer from intracranial hemorrhage,71 a condition that is strongly associated with a 30-day mortality, regardless of age, sex, or coexisting illnesses.72

Cerebrovascular reactivity.

It is well known that impaired autoregulation and cerebrovascular reactivity (CR) are major risk factors for poor functional outcome after TBI.73 Several indices have been used to measure CR, including cerebral blood flow velocity, middle cerebral artery cross-sectional area, mean arterial pressure, the pressure reactivity index, pulse amplitude index, and RAC (correlation between pulse amplitude and cerebral perfusion pressure). The most common protocol to examine CR is response to hypercapnia. Importantly, in a multivariate study of 358 TBI patients, subdural hematomas, thickness of subarachnoid hemorrhage and age were strongly associated with abnormal CR, more so than the gross injury burden.73 While several animal studies have examined CR in TBI models,74,75 very few studies have examined CR endpoints in aged animal models. In one rare study of CR in aged rats, cerebrovascular reactivity to hypercapnia decreased, but there were differences between Wistar and Fischer 344 strains.76 This is a topic that is ripe for further investigation.

Diabetes Mellitus.

Diabetes Mellitus (DM) prevalence continues to grow across the age spectrum but its co-morbidities and mortality are higher in the elderly population. According to Caspersen et al. diagnosed and/or undiagnosed DM affects 10.9 million adults in the U.S. aged 65 and older, with a projection to reach 26.7 million by 2050.77,78 In a registry-based study, the relative risk of low falls in adults with insulin-treated DM was nearly twice the risk in those without insulin-treated DM.79 Of those older adults who fall, up to 10% experience a significant injury such as TBI80. Again, this is important given that falls are the most common cause of TBI in older adults and a single fall is a major risk factor for subsequent falls. Given their lower reserve, older adults who experience repetitive TBI experience poorer cognitive and functional recovery following each subsequent injury with an increased risk of fatal fall-related TBI. Severe TBI with DM has a higher mortality (14%) compared to severe TBI without DM (8.2%) and TBI with insulin-dependent DM has a higher mortality rate (17.1%) than patients without insulin-dependent DM.81 Insulin deficiency may contribute to the increased mortality after TBI81 or it may be due to hyperglycemia, especially persistent hyperglycemia, which has been shown to play a detrimental role in the secondary complications following TBI. Hyperglycemia increases blood viscosity and diffuse small vessel disorders which results in ischemia and hypoxia in the brain tissues. In addition, hyperglycemia has the potential to induces disruption of the BBB, accelerate cerebral vasospasm, exacerbate edema of endothelial cells, and impair glial cell function.81

Aged animal studies of TBI: advances and limitations.

Studies of TBI in aged animals, although limited to a small fraction of basic TBI research, have nonetheless led to important advances in our understanding of how aging interacts with complex cellular and molecular pathways of secondary injury. For example, animal studies have elucidated the critically important role of neuroinflammation in both acute pathological and reconstructive response of the brain to injury, similar to the neuropathology in clinical populations.82 Older brains appear to undergo a homeostatic shift toward a pro-inflammatory state, a phenomenon termed “inflammaging”. This state describes the low-grade, chronic, systemic inflammation in the absence of overt infection (“sterile” inflammation) and is considered a highly significant risk factor for both morbidity and mortality in the elderly83 following brain injury. TBI studies in aged rats and mice have noted that compared to adult subjects, there was: delayed recovery along with prolonged activation of microglia and astrocytes in the hippocampus with chronic activation of microglia being linked with increased neuronal loss84; higher baseline expressions of cytokines, chemokines, and iNOS that was associated with exacerbated responses to injury;85 and a reduced expression of genes in hypoxia-inducible factor-1 alpha pathway that exhibit neurotrophic and neuroprotective properties.86 Thus, it appears that a heightened inflammatory response may contribute to the delayed recovery post injury. These pre-clinical findings have formed a critical foundation for future research. However, we note that the absence of clinical variables in studies to date could limit effective translation of findings to human TBI. For example, aspirin and acetaminophen are two anti-inflammatory medications frequently used in the geriatric population. How might these medications influence TBI in older subjects? Future studies of common anti-inflammatory drugs in aged animal models will be important to determine potential effects of these treatments on the inflammatory response and TBI outcomes.

TBI studies in aged animals have also revealed that worse outcomes in older subjects may be linked with free radical-induced cell death following a depletion of mitochondrial antioxidant enzymes. Itoh and colleagues demonstrated that in the cerebral cortex and hippocampus of aged rats, significantly higher levels of free radicals are produced compared with younger adults after TBI.85 The free radicals induced neuronal and glial cell membrane peroxidation and DNA damage, causing apoptotic cell death and ultimately cognitive impairment.87 It was also observed that in the focal ischemic area, free radical production was increased by facilitation of the arachidonic acid (AA) cascade.87

Non-steroidal anti-inflammatory drugs such as ibuprofen and acetylsalicylic acid (aspirin) are non-selective inhibitors of cyclooxygenase, a key enzyme in the AA metabolic pathway. As previously mentioned, due to the increased risk of cerebrovascular disease with aging, long term antithrombotic therapy is common, and the most widely prescribed antithrombotic medication is aspirin. In 2016, it was reported that nearly 40% of U.S. adults older than 50 years use aspirin for the primary or secondary prevention of cerebrovascular disease.88Consequently, it may be of great importance to determine how inhibition of the AA pathway affects free radical production in the context of TBI in older subjects.

Overall, experimental animal models have clearly been valuable in advancing our understanding of pathophysiological events related to TBI, and essential for the identification of novel therapeutic targets. A recent study from our group showed that treatment with taurine, an anti-inflammatory, anti-oxidant, and anti-apoptotic therapy that had shown promise for TBI in young adult rats, did not show a similar degree of neuroprotection in elderly rats.89 This highlights the likely influence of age on therapeutic efficacy and the critical need for inclusion of aged animal models in the drug development pipeline for TBI.

To date, the findings from aged animal studies have not specifically contributed to improved clinical care, treatment, or rehabilitation of TBI in the geriatric population. We posit that an important reason for this may be an inadequate replication of clinical variables in aged animal studies. Preclinical studies of TBI are carefully designed for reproducibility, to apply a standardized injury across subjects with age, sex, diet, living conditions, genetic background, and injury parameters all carefully controlled.35 In the laboratory, heterogeneous injury has the potential to adversely affect statistical significance of results. On the other hand, limiting so many clinically relevant variables that are known to affect human TBI outcome(s) may limit clinical translation. Certain comorbid conditions that frequently accompany TBI and worsen outcomes have been implemented in adult animal models of TBI. Dual TBI and hypoxia models have been developed in FPI, impact acceleration, and CCI,22 and hypoxia-and-hypotension models have been applied in FPI and CCI.35 However, such combined neurotrauma studies have not yet been implemented in aged animals. Developing these types of studies in aged subjects to determine interactive effects (e.g., between age and hypoxia, age and diet, etc.) may better recapitulate TBI pathophysiology in older humans post-trauma.

Recommendations for Aged Animal Studies of TBI

Animal models serve an essential role in TBI research, allowing elucidation of complex cellular and molecular mechanisms of injury and the identification of targets for therapy. For a variety of practical experimental reasons, these studies have primarily focused on young adult male rodents, and research that emphasizes issues particular to TBI in the aged population continues to be meager. Inbred strains of rodent species are extremely valuable as research subjects due to reduced genetic variability.90 However, the commonly used strains display a limited range of pathology with regard to age-associated comorbidities that exist in humans. For example, normally aged mice do not develop neurodegenerative pathologies and have low prevalence of cerebrovascular disease. Experimental manipulations, such as dietary manipulations, are required to model these conditions in the laboratory.

There is a clear need to improve current practices in regard to the effects of brain injury, particularly in a population that is one of the most vulnerable to the debilitating consequences: the elderly. It is our belief that the development of an interdisciplinary approach that strongly considers clinical perspectives during the pre-clinical research phase is vital to an improvement in translational research. It is clear that older age negatively influences outcome after TBI, and the study of TBI in aged animal models remains an area of considerable opportunity for future research.3 With the elderly contributing greatly to the epidemiology of TBI, modifications to existing preclinical research practices are imperative to bridge the divide between preclinical studies and clinical application.

From the meager body of evidence on TBI in aged animals, it would appear self-evident that our ability to translate animal findings to aged clinical TBI populations would benefit from several extensions of current models:

  1. Utilize more aged animals in TBI research. Generally, this includes rats and mice over 20 months of age. Use a range of “old” animal ages to better understand heterogeneity in the geriatric population.

  2. Utilize injury models that replicate additional mechanical properties of TBI in older humans. This should include studies that model concussion and mild-to-moderate TBI, representing the most common type of clinical injury.

  3. Model TBI in combination with co-morbidities frequently seen in older humans. This includes comorbidities such as hypertension, diabetes mellitus, cardiovascular disease, and impaired cerebrovascular reactivity. Some of these co-morbidities exist in inbred and transgenic animals, but others will need to be induced in the laboratory setting via environmental conditions, such as those that predispose animals to obesity and inactivity. Modeling multiple co-morbidities should also be considered.

  4. Model TBI in combination with chronic medications most commonly taken by older individuals. This might include preinjury antiplatelet therapy (e.g., aspirin) that have been linked to worse outcome after TBI.

  5. Study the TBI response over a comprehensive period from acute to chronic post-TBI period.

  6. Develop better age-specific functional outcome measures for aged animals.

  7. Include biomarkers as outcome measures in animal studies that are translatable to humans. Imaging endpoints that can validate age-related changes in cerebrovascular reactivity, tissue perfusion (arterial spin labeling), brain connectivity (diffusion tensor imaging, resting-state connectivity), brain metabolism (magnetic resonance spectroscopy) will be particularly useful.

  8. Consider the use of larger animal models of TBI, including animals with gyrencephalic brains, such as sheep, pigs, and non-human primates.

  9. Use both sexes in aged animal studies of TBI.

Translation of preclinical research to clinical application continues to be challenging. A variety of animal models of TBI have been developed to reproduce different elements of human TBI. Improving translational success may require remodeling of existing approaches to animal TBI research based on real-world clinical experience, including increased attention to effects of interacting variables and comorbidities on morbidity, mortality, and recovery. Our hope is that the recommendations presented, if fully implemented into research practice for this under-studied population, will ultimately translate to improved patient care and effective strategies to improve outcomes and quality of life for older patients with TBI.

Acknowledgements:

This work was supported by funding from the National Institutes of Health grants R01 NS030853 (RJN) and NIH R21 NS091920 (JLH).

REFERENCE LIST

  • 1.Taylor CA, Bell JM, Breiding MJ, Xu L. Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2007 and 2013. MMWR Surveill Summ. 2017;66(9):1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bruns J Jr., Hauser WA. The epidemiology of traumatic brain injury: a review. Epilepsia. 2003;44 Suppl 10:2–10. [DOI] [PubMed] [Google Scholar]
  • 3.Thompson HJ, McCormick WC, Kagan SH. Traumatic brain injury in older adults: epidemiology, outcomes, and future implications. Journal of the American Geriatrics Society. 2006;54(10):1590–1595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Foda MA, Marmarou A. A new model of diffuse brain injury in rats. Part II: Morphological characterization. Journal of neurosurgery. 1994;80(2):301–313. [DOI] [PubMed] [Google Scholar]
  • 5.Papa L, Mendes ME, Braga CF. Mild Traumatic Brain Injury among the Geriatric Population. Current translational geriatrics and experimental gerontology reports. 2012;1(3):135–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Deb S, Burns J. Neuropsychiatric consequences of traumatic brain injury: a comparison between two age groups. Brain Inj. 2007;21(3):301–307. [DOI] [PubMed] [Google Scholar]
  • 7.Albrecht JS, Kiptanui Z, Tsang Y, et al. Patterns of Depression Treatment in Medicare Beneficiaries with Depression after Traumatic Brain Injury. J Neurotrauma. 2015;32(16):1223–1229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gardner RC, Burke JF, Nettiksimmons J, Kaup A, Barnes DE, Yaffe K. Dementia risk after traumatic brain injury vs nonbrain trauma: the role of age and severity. JAMA Neurol. 2014;71(12):1490–1497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mendez MF. What is the Relationship of Traumatic Brain Injury to Dementia? J Alzheimers Dis. 2017;57(3):667–681. [DOI] [PubMed] [Google Scholar]
  • 10.Perry DC, Sturm VE, Peterson MJ, et al. Association of traumatic brain injury with subsequent neurological and psychiatric disease: a meta-analysis. Journal of neurosurgery. 2016;124(2):511–526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Stein DG. Progesterone in the treatment of acute traumatic brain injury: a clinical perspective and update. Neuroscience. 2011;191:101–106. [DOI] [PubMed] [Google Scholar]
  • 12.Skolnick BE, Maas AI, Narayan RK, et al. A clinical trial of progesterone for severe traumatic brain injury. N Engl J Med. 2014;371(26):2467–2476. [DOI] [PubMed] [Google Scholar]
  • 13.Wright DW, Yeatts SD, Silbergleit R, et al. Very early administration of progesterone for acute traumatic brain injury. N Engl J Med. 2014;371(26):2457–2466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cusack S, O’Toole PW, consortium E. Challenges and implications for biomedical research and intervention studies in older populations: insights from the ELDERMET study. Gerontology. 2013;59(2):114–121. [DOI] [PubMed] [Google Scholar]
  • 15.Mody L, Miller DK, McGloin JM, et al. Recruitment and retention of older adults in aging research. Journal of the American Geriatrics Society. 2008;56(12):2340–2348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kuchel GA. Inclusion of Older Adults in Research: Ensuring Relevance, Feasibility, and Rigor. Journal of the American Geriatrics Society. 2019;67(2):203–204. [DOI] [PubMed] [Google Scholar]
  • 17.Flurkey K, Currier J, Harrison D. The mouse in aging research In: Fox J, al e, eds. The Mouse in Biomedical Research. 2nd Edition ed. Burlington, MA: Elseivier; 2007. [Google Scholar]
  • 18.Dutta S, Sengupta P. Men and mice: Relating their ages. Life Sci. 2016;152:244–248. [DOI] [PubMed] [Google Scholar]
  • 19.Sengupta P The Laboratory Rat: Relating Its Age With Human’s. Int J Prev Med. 2013;4(6):624–630. [PMC free article] [PubMed] [Google Scholar]
  • 20.Davis AE. Mechanisms of traumatic brain injury: biomechanical, structural and cellular considerations. Critical care nursing quarterly. 2000;23(3):1–13. [DOI] [PubMed] [Google Scholar]
  • 21.Gaetz M The neurophysiology of brain injury. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2004;115(1):4–18. [DOI] [PubMed] [Google Scholar]
  • 22.Cernak I Animal models of head trauma. NeuroRx : the journal of the American Society for Experimental NeuroTherapeutics. 2005;2(3):410–422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.McIntosh TK, Smith DH, Meaney DF, Kotapka MJ, Gennarelli TA, Graham DI. Neuropathological sequelae of traumatic brain injury: relationship to neurochemical and biomechanical mechanisms. Laboratory investigation; a journal of technical methods and pathology. 1996;74(2):315–342. [PubMed] [Google Scholar]
  • 24.Bramlett HM, Dietrich WD. Progressive damage after brain and spinal cord injury: pathomechanisms and treatment strategies. Progress in brain research. 2007;161:125–141. [DOI] [PubMed] [Google Scholar]
  • 25.Povlishock JT, Christman CW. The pathobiology of traumatically induced axonal injury in animals and humans: a review of current thoughts. J Neurotrauma. 1995;12(4):555–564. [DOI] [PubMed] [Google Scholar]
  • 26.Morganti-Kossmann MC, Yan E, Bye N. Animal models of traumatic brain injury: is there an optimal model to reproduce human brain injury in the laboratory? Injury. 2010;41 Suppl 1:S10–13. [DOI] [PubMed] [Google Scholar]
  • 27.Perez-Polo JR, Rea HC, Johnson KM, et al. A rodent model of mild traumatic brain blast injury. J Neurosci Res. 2015;93(4):549–561. [DOI] [PubMed] [Google Scholar]
  • 28.Sauerbeck AD, Fanizzi C, Kim JH, et al. modCHIMERA: a novel murine closed-head model of moderate traumatic brain injury. Sci Rep. 2018;8(1):7677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Pham L, Shultz SR, Kim HA, et al. Mild Closed-Head Injury in Conscious Rats Causes Transient Neurobehavioral and Glial Disturbances: A Novel Experimental Model of Concussion. J Neurotrauma. 2019. [DOI] [PubMed] [Google Scholar]
  • 30.Bolouri H, Zetterberg H. Frontiers in Neuroengineering: Animal Models for Concussion: Molecular and Cognitive Assessments-Relevance to Sport and Military Concussions In: Kobeissy FH, ed. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis(c) 2015 by Taylor & Francis Group, LLC.; 2015. [Google Scholar]
  • 31.Dai JX, Ma YB, Le NY, Cao J, Wang Y. Large animal models of traumatic brain injury. Int J Neurosci. 2018;128(3):243–254. [DOI] [PubMed] [Google Scholar]
  • 32.Finnie JW, Blumbergs PC. Traumatic brain injury. Veterinary pathology. 2002;39(6):679–689. [DOI] [PubMed] [Google Scholar]
  • 33.Marklund N Rodent Models of Traumatic Brain Injury: Methods and Challenges. Methods Mol Biol. 2016;1462:29–46. [DOI] [PubMed] [Google Scholar]
  • 34.Thompson HJ, Lifshitz J, Marklund N, et al. Lateral fluid percussion brain injury: a 15-year review and evaluation. J Neurotrauma. 2005;22(1):42–75. [DOI] [PubMed] [Google Scholar]
  • 35.Xiong Y, Mahmood A, Chopp M. Animal models of traumatic brain injury. Nat Rev Neurosci. 2013;14(2):128–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Marmarou CR, Prieto R, Taya K, Young HF, Marmarou A. Marmarou Weight Drop Injury Model In: Chen J, Xu ZC, Xu X-M, Zhang JH, eds. Animal Models of Acute Neurological Injuries. Totowa, NJ: Humana Press; 2009:393–407. [Google Scholar]
  • 37.Namjoshi DR, Cheng WH, McInnes KA, et al. Merging pathology with biomechanics using CHIMERA (Closed-Head Impact Model of Engineered Rotational Acceleration): a novel, surgery-free model of traumatic brain injury. Mol Neurodegener. 2014;9:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Rodriguiz RM, Wetsel WC. Frontiers in Neuroscience: Assessments of Cognitive Deficits in Mutant Mice In: Levin ED, Buccafusco JJ, eds. Animal Models of Cognitive Impairment. Boca Raton (FL): CRC Press/Taylor & Francis Taylor & Francis Group, LLC.; 2006. [PubMed] [Google Scholar]
  • 39.Hoane MR, Lasley LA, Akstulewicz SL. Middle age increases tissue vulnerability and impairs sensorimotor and cognitive recovery following traumatic brain injury in the rat. Behavioural brain research. 2004;153(1):189–197. [DOI] [PubMed] [Google Scholar]
  • 40.Onyszchuk G, He YY, Berman NE, Brooks WM. Detrimental effects of aging on outcome from traumatic brain injury: a behavioral, magnetic resonance imaging, and histological study in mice. J Neurotrauma. 2008;25(2):153–171. [DOI] [PubMed] [Google Scholar]
  • 41.Lipsitz LA. Dynamics of stability: the physiologic basis of functional health and frailty. The journals of gerontology Series A, Biological sciences and medical sciences. 2002;57(3):B115–125. [DOI] [PubMed] [Google Scholar]
  • 42.Miller DB, O’Callaghan JP. Aging, stress and the hippocampus. Ageing research reviews. 2005;4(2):123–140. [DOI] [PubMed] [Google Scholar]
  • 43.Royo NC, Conte V, Saatman KE, et al. Hippocampal vulnerability following traumatic brain injury: a potential role for neurotrophin-4/5 in pyramidal cell neuroprotection. The European journal of neuroscience. 2006;23(5):1089–1102. [DOI] [PubMed] [Google Scholar]
  • 44.Harris JL, Yeh H-W, Swerdlow RH, Choi I-Y, Lee P, Brooks WM. High-field proton magnetic resonance spectroscopy reveals metabolic effects of normal brain aging. Neurobiology of Aging. 2014;35(7):1686–1694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Backman L, Nyberg L, Lindenberger U, Li SC, Farde L. The correlative triad among aging, dopamine, and cognition: current status and future prospects. Neuroscience and biobehavioral reviews. 2006;30(6):791–807. [DOI] [PubMed] [Google Scholar]
  • 46.Mattson MP, Maudsley S, Martin B. BDNF and 5-HT: a dynamic duo in age-related neuronal plasticity and neurodegenerative disorders. Trends in neurosciences. 2004;27(10):589–594. [DOI] [PubMed] [Google Scholar]
  • 47.Toescu EC, Verkhratsky A, Landfield PW. Ca2+ regulation and gene expression in normal brain aging. Trends in neurosciences. 2004;27(10):614–620. [DOI] [PubMed] [Google Scholar]
  • 48.Melov S Modeling mitochondrial function in aging neurons. Trends in neurosciences. 2004;27(10):601–606. [DOI] [PubMed] [Google Scholar]
  • 49.Volchegorskii IA, Shemyakov SE, Turygin VV, Malinovskaya NV. The age dynamics of monoamine oxidase activity and levels of lipid peroxidation products in the human brain. Neuroscience and behavioral physiology. 2004;34(4):303–305. [DOI] [PubMed] [Google Scholar]
  • 50.Narne P, Pandey V, Phanithi PB. Interplay between mitochondrial metabolism and oxidative stress in ischemic stroke: An epigenetic connection. Mol Cell Neurosci. 2017;82:176–194. [DOI] [PubMed] [Google Scholar]
  • 51.Ma EL, Smith AD, Desai N, et al. Bidirectional brain-gut interactions and chronic pathological changes after traumatic brain injury in mice. Brain Behav Immun. 2017;66:56–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Faden AI, Loane DJ. Chronic neurodegeneration after traumatic brain injury: Alzheimer disease, chronic traumatic encephalopathy, or persistent neuroinflammation? Neurotherapeutics. 2015;12(1):143–150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Shahidi B, Shah SB, Esparza M, Head BP, Ward SR. Skeletal Muscle Atrophy and Degeneration in a Mouse Model of Traumatic Brain Injury. J Neurotrauma. 2018;35(2):398–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Sun M, Brady RD, Casillas-Espinosa PM, et al. Aged rats have an altered immune response and worse outcomes after traumatic brain injury. Brain Behav Immun. 2019. [DOI] [PubMed] [Google Scholar]
  • 55.Ritzel RM, Doran SJ, Glaser EP, et al. Old age increases microglial senescence, exacerbates secondary neuroinflammation, and worsens neurological outcomes after acute traumatic brain injury in mice. Neurobiol Aging. 2019;77:194–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Wang J, Su E, Wang H, Guo C, Lawrence DA, Eitzman DT. Traumatic Brain Injury Leads to Accelerated Atherosclerosis in Apolipoprotein E Deficient Mice. Sci Rep. 2018;8(1):5639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.DeWitt DS, Prough DS. Blast-induced brain injury and posttraumatic hypotension and hypoxemia. J Neurotrauma. 2009;26(6):877–887. [DOI] [PubMed] [Google Scholar]
  • 58.Lee P, Kim J, Williams R, et al. Effects of aging on blood brain barrier and matrix metalloproteases following controlled cortical impact in mice. Exp Neurol. 2012;234(1):50–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Peters ME. Traumatic brain injury (TBI) in older adults: aging with a TBI versus incident TBI in the aged. International psychogeriatrics. 2016;28(12):1931–1934. [DOI] [PubMed] [Google Scholar]
  • 60.Mosenthal AC, Livingston DH, Lavery RF, et al. The effect of age on functional outcome in mild traumatic brain injury: 6-month report of a prospective multicenter trial. The Journal of trauma. 2004;56(5):1042–1048. [DOI] [PubMed] [Google Scholar]
  • 61.Davies M, Jacobs A, Brody DL, Friess SH. Delayed Hypoxemia after Traumatic Brain Injury Exacerbates Long-Term Behavioral Deficits. J Neurotrauma. 2018;35(5):790–801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Hill J, Zhao J, Dash PK. High blood glucose does not adversely affect outcome in moderately brain-injured rodents. J Neurotrauma. 2010;27(8):1439–1448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Litofsky NS, Miller DC, Chen Z, et al. Anaemia worsens early functional outcome after traumatic brain injury: a preliminary study. Brain Inj. 2018;32(3):342–349. [DOI] [PubMed] [Google Scholar]
  • 64.Rich MW, Chyun DA, Skolnick AH, et al. Knowledge Gaps in Cardiovascular Care of the Older Adult Population. A Scientific Statement From the American Heart Association, American College of Cardiology, and American Geriatrics Society. 2016. [DOI] [PubMed] [Google Scholar]
  • 65.Thompson HJ, Dikmen S, Temkin N. Prevalence of Comorbidity and its Association with Traumatic Brain Injury and Outcomes in Older Adults. Research in gerontological nursing. 2012;5(1):17–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Pantoni L, Garcia JH. The significance of cerebral white matter abnormalities 100 years after Binswanger’s report. A review. Stroke. 1995;26(7):1293–1301. [DOI] [PubMed] [Google Scholar]
  • 67.Karve IP, Taylor JM, Crack PJ. The contribution of astrocytes and microglia to traumatic brain injury. British journal of pharmacology. 2016;173(4):692–702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Yazdanyar A, Newman AB. The burden of cardiovascular disease in the elderly: morbidity, mortality, and costs. Clinics in geriatric medicine. 2009;25(4):563–577, vii. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Li L, Geraghty OC, Mehta Z, Rothwell PM. Age-specific risks, severity, time course, and outcome of bleeding on long-term antiplatelet treatment after vascular events: a population-based cohort study. The Lancet.390(10093):490–499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Wong DK, Lurie F, Wong LL. The effects of clopidogrel on elderly traumatic brain injured patients. The Journal of trauma. 2008;65(6):1303–1308. [DOI] [PubMed] [Google Scholar]
  • 71.Mak CHK, Wong SKH, Wong GK, et al. Traumatic Brain Injury in the Elderly: Is it as Bad as we Think? Current Translational Geriatrics and Experimental Gerontology Reports. 2012;1(3):171–178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Go AS, Hylek EM, Phillips KA, et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. Jama. 2001;285(18):2370–2375. [DOI] [PubMed] [Google Scholar]
  • 73.Zeiler FA, Donnelly J, Nourallah B, et al. Intracranial and Extracranial Injury Burden as Drivers of Impaired Cerebrovascular Reactivity in Traumatic Brain Injury. J Neurotrauma. 2018;35(14):1569–1577. [DOI] [PubMed] [Google Scholar]
  • 74.Bragin DE, Statom GL, Nemoto EM. Induced Dynamic Intracranial Pressure and Cerebrovascular Reactivity Assessment of Cerebrovascular Autoregulation After Traumatic Brain Injury with High Intracranial Pressure in Rats. Acta Neurochir Suppl. 2018;126:309–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Forbes ML, Hendrich KS, Kochanek PM, et al. Assessment of cerebral blood flow and CO2 reactivity after controlled cortical impact by perfusion magnetic resonance imaging using arterial spin-labeling in rats. J Cereb Blood Flow Metab. 1997;17(8):865–874. [DOI] [PubMed] [Google Scholar]
  • 76.Lartaud I, Bray-des-Boscs L, Chillon JM, Atkinson J, Capdeville-Atkinson C. In vivo cerebrovascular reactivity in Wistar and Fischer 344 rat strains during aging. Am J Physiol. 1993;264(3 Pt 2):H851–858. [DOI] [PubMed] [Google Scholar]
  • 77.Chentli F, Azzoug S, Mahgoun S. Diabetes mellitus in elderly. Indian journal of endocrinology and metabolism. 2015;19(6):744–752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Caspersen CJ, Thomas GD, Boseman LA, Beckles GL, Albright AL. Aging, diabetes, and the public health system in the United States. Am J Public Health. 2012;102(8):1482–1497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Kennedy RL, Henry J, Chapman AJ, Nayar R, Grant P, Morris AD. Accidents in patients with insulin-treated diabetes: increased risk of low-impact falls but not motor vehicle crashes--a prospective register-based study. The Journal of trauma. 2002;52(4):660–666. [DOI] [PubMed] [Google Scholar]
  • 80.Michael YL, Whitlock EP, Lin JS, et al. Primary care-relevant interventions to prevent falling in older adults: a systematic evidence review for the U.S. Preventive Services Task Force. Annals of internal medicine. 2010;153(12):815–825. [DOI] [PubMed] [Google Scholar]
  • 81.Shi J, Dong B, Mao Y, et al. Review: Traumatic brain injury and hyperglycemia, a potentially modifiable risk factor. Oncotarget. 2016;7(43):71052–71061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Williams AJ, Wei HH, Dave JR, Tortella FC. Acute and delayed neuroinflammatory response following experimental penetrating ballistic brain injury in the rat. J Neuroinflammation. 2007;4:17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Franceschi C, Campisi J. Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. The journals of gerontology Series A, Biological sciences and medical sciences. 2014;69 Suppl 1:S4–9. [DOI] [PubMed] [Google Scholar]
  • 84.Sandhir R, Onyszchuk G, Berman NE. Exacerbated glial response in the aged mouse hippocampus following controlled cortical impact injury. Exp Neurol. 2008;213(2):372–380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Sandhir R, Puri V, Klein RM, Berman NEJ. Differential expression of cytokines and chemokines during secondary neuron death following brain injury in old and young mice. Neuroscience Letters. 2004;369(1):28–32. [DOI] [PubMed] [Google Scholar]
  • 86.Anderson J, Sandhir R, Hamilton ES, Berman NE. Impaired expression of neuroprotective molecules in the HIF-1alpha pathway following traumatic brain injury in aged mice. J Neurotrauma. 2009;26(9):1557–1566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Itoh T, Imano M, Nishida S, et al. Increased apoptotic neuronal cell death and cognitive impairment at early phase after traumatic brain injury in aged rats. Brain structure & function. 2013;218(1):209–220. [DOI] [PubMed] [Google Scholar]
  • 88.Bibbins-Domingo K Aspirin Use for the Primary Prevention of Cardiovascular Disease and Colorectal Cancer: U.S. Preventive Services Task Force Recommendation Statement. Annals of internal medicine. 2016;164(12):836–845. [DOI] [PubMed] [Google Scholar]
  • 89.Gupte R, Christian S, Keselman P, Habiger J, Brooks WM, Harris JL. Evaluation of taurine neuroprotection in aged rats with traumatic brain injury. Brain Imaging Behav. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Mitchell SJ, Scheibye-Knudsen M, Longo DL, de Cabo R. Animal models of aging research: implications for human aging and age-related diseases. Annu Rev Anim Biosci. 2015;3:283–303. [DOI] [PubMed] [Google Scholar]
  • 91.Hamm RJ, Jenkins LW, Lyeth BG, White-Gbadebo DM, Hayes RL. The effect of age on outcome following traumatic brain injury in rats. Journal of neurosurgery. 1991;75(6):916–921. [DOI] [PubMed] [Google Scholar]
  • 92.Hamm RJ, White-Gbadebo DM, Lyeth BG, Jenkins LW, Hayes RL. The effect of age on motor and cognitive deficits after traumatic brain injury in rats. Neurosurgery. 1992;31(6):1072–1077; discussion 1078. [DOI] [PubMed] [Google Scholar]
  • 93.Maughan PH, Scholten KJ, Schmidt RH. Recovery of water maze performance in aged versus young rats after brain injury with the impact acceleration model. J Neurotrauma. 2000;17(12):1141–1153. [DOI] [PubMed] [Google Scholar]
  • 94.Nakagawa Y, Reed L, Nakamura M, et al. Brain trauma in aged transgenic mice induces regression of established abeta deposits. Exp Neurol. 2000;163(1):244–252. [DOI] [PubMed] [Google Scholar]
  • 95.Uryu K, Giasson BI, Longhi L, et al. Age-dependent synuclein pathology following traumatic brain injury in mice. Exp Neurol. 2003;184(1):214–224. [DOI] [PubMed] [Google Scholar]
  • 96.Shimamura M, Garcia JM, Prough DS, Hellmich HL. Laser capture microdissection and analysis of amplified antisense RNA from distinct cell populations of the young and aged rat brain: effect of traumatic brain injury on hippocampal gene expression. Brain Res Mol Brain Res. 2004;122(1):47–61. [DOI] [PubMed] [Google Scholar]
  • 97.Moor E, Shohami E, Kanevsky E, Grigoriadis N, Symeonidou C, Kohen R. Impairment of the ability of the injured aged brain in elevating urate and ascorbate. Exp Gerontol. 2006;41(3):303–311. [DOI] [PubMed] [Google Scholar]
  • 98.Shah SA, Prough DS, Garcia JM, DeWitt DS, Hellmich HL. Molecular correlates of age-specific responses to traumatic brain injury in mice. Exp Gerontol. 2006;41(11):1201–1205. [DOI] [PubMed] [Google Scholar]
  • 99.Shao C, Roberts KN, Markesbery WR, Scheff SW, Lovell MA. Oxidative stress in head trauma in aging. Free Radic Biol Med. 2006;41(1):77–85. [DOI] [PubMed] [Google Scholar]
  • 100.Cutler SM, Cekic M, Miller DM, Wali B, VanLandingham JW, Stein DG. Progesterone improves acute recovery after traumatic brain injury in the aged rat. J Neurotrauma. 2007;24(9):1475–1486. [DOI] [PubMed] [Google Scholar]
  • 101.Kasturi BS, Stein DG. Progesterone decreases cortical and sub-cortical edema in young and aged ovariectomized rats with brain injury. Restor Neurol Neurosci. 2009;27(4):265–275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Gilmer LK, Ansari MA, Roberts KN, Scheff SW. Age-related mitochondrial changes after traumatic brain injury. J Neurotrauma. 2010;27(5):939–950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Sandhir R, Berman NE. Age-dependent response of CCAAT/enhancer binding proteins following traumatic brain injury in mice. Neurochem Int. 2010;56(1):188–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Cekic M, Cutler SM, VanLandingham JW, Stein DG. Vitamin D deficiency reduces the benefits of progesterone treatment after brain injury in aged rats. Neurobiol Aging. 2011;32(5):864–874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Wali B, Sayeed I, Stein DG. Improved behavioral outcomes after progesterone administration in aged male rats with traumatic brain injury. Restor Neurol Neurosci. 2011;29(1):61–71. [DOI] [PubMed] [Google Scholar]
  • 106.Li Z, Wang B, Kan Z, et al. Progesterone increases circulating endothelial progenitor cells and induces neural regeneration after traumatic brain injury in aged rats. J Neurotrauma. 2012;29(2):343–353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Timaru-Kast R, Luh C, Gotthardt P, et al. Influence of age on brain edema formation, secondary brain damage and inflammatory response after brain trauma in mice. PLoS One. 2012;7(8):e43829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Itoh T, Imano M, Nishida S, et al. Appearance of neural stem cells around the damaged area following traumatic brain injury in aged rats. J Neural Transm (Vienna). 2013;120(3):361–374. [DOI] [PubMed] [Google Scholar]
  • 109.Gupta RK, Prasad S. Early down regulation of the glial Kir4.1 and GLT-1 expression in pericontusional cortex of the old male mice subjected to traumatic brain injury. Biogerontology. 2013;14(5):531–541. [DOI] [PubMed] [Google Scholar]
  • 110.Hawkins BE, Cowart JC, Parsley MA, et al. Effects of trauma, hemorrhage and resuscitation in aged rats. Brain Res. 2013;1496:28–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Kumar A, Stoica BA, Sabirzhanov B, Burns MP, Faden AI, Loane DJ. Traumatic brain injury in aged animals increases lesion size and chronically alters microglial/macrophage classical and alternative activation states. Neurobiol Aging. 2013;34(5):1397–1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Sun D, McGinn M, Hankins JE, Mays KM, Rolfe A, Colello RJ. Aging- and injury-related differential apoptotic response in the dentate gyrus of the hippocampus in rats following brain trauma. Front Aging Neurosci. 2013;5:95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Ojo JO, Mouzon B, Greenberg MB, Bachmeier C, Mullan M, Crawford F. Repetitive mild traumatic brain injury augments tau pathology and glial activation in aged hTau mice. J Neuropathol Exp Neurol. 2013;72(2):137–151. [DOI] [PubMed] [Google Scholar]
  • 114.Tajiri N, Acosta SA, Shahaduzzaman M, et al. Intravenous transplants of human adipose-derived stem cell protect the brain from traumatic brain injury-induced neurodegeneration and motor and cognitive impairments: cell graft biodistribution and soluble factors in young and aged rats. J Neurosci. 2014;34(1):313–326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Gupta RK, Prasad S. Age-Dependent Alterations in the Interactions of NF-kappaB and N-myc with GLT-1/EAAT2 Promoter in the Pericontusional Cortex of Mice Subjected to Traumatic Brain Injury. Mol Neurobiol. 2016;53(5):3377–3388. [DOI] [PubMed] [Google Scholar]
  • 116.Morganti JM, Riparip LK, Chou A, Liu S, Gupta N, Rosi S. Age exacerbates the CCR2/5-mediated neuroinflammatory response to traumatic brain injury. J Neuroinflammation. 2016;13(1):80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Wang T, Zhu M, He ZZ. Low-Molecular-Weight Fucoidan Attenuates Mitochondrial Dysfunction and Improves Neurological Outcome After Traumatic Brain Injury in Aged Mice: Involvement of Sirt3. Cell Mol Neurobiol. 2016;36(8):1257–1268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Portbury SD, Hare DJ, Sgambelloni CJ, et al. Age modulates the injury-induced metallomic profile in the brain. Metallomics. 2017;9(4):402–410. [DOI] [PubMed] [Google Scholar]
  • 119.Chou A, Krukowski K, Morganti JM, Riparip LK, Rosi S. Persistent Infiltration and Impaired Response of Peripherally-Derived Monocytes after Traumatic Brain Injury in the Aged Brain. Int J Mol Sci. 2018;19(6). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Krukowski K, Chou A, Feng X, et al. Traumatic Brain Injury in Aged Mice Induces Chronic Microglia Activation, Synapse Loss, and Complement-Dependent Memory Deficits. Int J Mol Sci. 2018;19(12). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Gupte R, Christian S, Keselman P, Habiger J, Brooks WM, Harris JL. Evaluation of taurine neuroprotection in aged rats with traumatic brain injury. Brain Imaging Behav. 2019;13(2):461–471. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES