Abstract
Penetrating traumatic brain injury (PTBI) is one of the major cause of death and disability worldwide. Previous studies with penetrating ballistic-like brain injury (PBBI), a PTBI rat model revealed widespread perilesional neurodegeneration, similar to that seen in humans following gunshot wound to the head, which is unmitigated by any available therapies to date. Therefore, we evaluated human neural stem cell (hNSC) engraftment to putatively exploit the potential of cell therapy that has been seen in other central nervous system injury models. Toward this objective, green fluorescent protein (GFP) labeled hNSC (400,000 per animal) were transplanted in immunosuppressed Sprague–Dawley (SD), Fisher, and athymic (ATN) PBBI rats 1 week after injury. Tacrolimus (3 mg/kg 2 days prior to transplantation, then 1 mg/kg/day), methylprednisolone (10 mg/kg on the day of transplant, 1 mg/kg/week thereafter), and mycophenolate mofetil (30 mg/kg/day) for 7 days following transplantation were used to confer immunosuppression. Engraftment in SD and ATN was comparable at 8 weeks post-transplantation. Evaluation of hNSC differentiation and distribution revealed increased neuronal differentiation of transplanted cells with time. At 16 weeks post-transplantation, neither cell proliferation nor glial lineage markers were detected. Transplanted cell morphology was similar to that of neighboring host neurons, and there was relatively little migration of cells from the peritransplant site. By 16 weeks, GFP-positive processes extended both rostrocaudally and bilaterally into parenchyma, spreading along host white matter tracts, traversing the internal capsule, and extending ∼13 mm caudally from transplantation site reaching into the brainstem. In a Morris water maze test at 8 weeks post-transplantation, animals with transplants had shorter latency to platform than vehicle-treated animals. However, weak injury-induced cognitive deficits in the control group at the delayed time point confounded benefits of durable engraftment and neuronal differentiation. Therefore, these results justify further studies to progress towards clinical translation of hNSC therapy for PTBI.
Keywords: : behavior deficit, cell transplantation, hNSC, neuronal differentiation, PBBI, TBI
Introduction
Traumatic brain injury (TBI) is a critical public health problem worldwide.1 TBI involving firearm injury is an increasingly serious issue in the United States, costing > $70–75 billion annually.2,3 Timely neurosurgical intervention aided by improved neuroimaging and advances in acute trauma management have lowered the firearm fatality rate.4–6 The proportion of gunshot wound survivors among disabled TBI patients has been rising steadily.7–12 Among brain injuries, penetrating traumatic brain injuries (PTBI) are associated with the worst outcomes,13–15 and no effective restorative treatment beyond physical therapy is currently available to mitigate post-TBI disability and associated cognitive deficits.16–18 Therefore, there is an urgent need to explore additional treatment options to address long-term TBI-related disabilities.
Failure of injury-induced regenerative neurogenesis, chronic inflammation, and atrophy underlie poor outcomes.19–21 Loss of neurons and consequent brain atrophy in TBI survivors22–25 has been recapitulated in a survivable rat model: penetrating ballistic-like brain injury (PBBI)26–28 Because of the extremely rapid cell loss following PBBI, acute neuroprotection alone has had limited success in mitigating damage.29,30 Therefore, exploration of exogenous cell transplantation to aid recovery is necessary.
Human amniotic membrane placental stem cells (AMP) have been used in PBBI.26,31 AMP secreted trophic factor releases significantly attenuated axonal degeneration.26,31,32 Among the non-neural stem cells from which neural stem cells (NSC) have been derived, AMP have exhibited the best potential and ability to alleviate TBI-related cognitive deficits.33,34 In contrast to few reports of mesenchyme-derived NSC integration,35–38 neural precursors have been the subject of several successful studies.39–44 Immunodeficient rodents or host immunosuppression with allografting45,46 provide the best-case scenario for engraftment. Upon engraftment, xenografted NSC aid endogenous repair and behavior modification.47–50 In contrast, first trimester (8–15 weeks) human fetal neural stem cells conferred only early, transient alleviation of TBI deficits.51–60 In spite of xenotransplantation, there was no consensus on necessity or duration of immunosuppression59,61,62 The resulting immunorejection hindered engraftment and long-term survival in rodent models of TBI.63 Poor transient engraftment was marked by low neuronal differentiation of transplanted cells.52,55,64 Such confounding data dampened enthusiasm for clinical translation. Only recently, to overcome these shortfalls, a novel TBI xenotransplantation model with athymic (ATN) rats was developed, and brain repair was tested with long-term (≥ 2 months) human embryonic stem cell (hESC) derived NSC (hNSC) transplantation. Transplanted hNSC survived for at least 5 months post-transplantation and differentiated into mature neurons, astrocytes, and oligodendrocytes. The hNSC transplantation facilitated cognitive recovery without affecting either lesion volume or tissue volume.65 Similar to rat NSC, an overall increase in host hippocampal neuron survival was observed.47,65 The authors concluded that hNSC transplantation may be a viable, long-term therapy to restore cognition after brain injury.65 The United States Food and Drug Administration (FDA) (Rockville, MD) recommends that evidence of cell fate post-administration is necessary to uncover the activity and safety profile of the investigational cell therapy product. This can be achieved by demonstration of robust durable engraftment.66,67
In the past decade, Neuralstem Inc. had developed NSI-566, an epigenetically expanded bank of NSC derived from the 8-week-old human fetal spinal cord, which is not on the federal moratorium list for funding.68 These cells have been subject to extensive pre-clinical safety testing and characterization, by multiple independent laboratories with multiple immunosuppression regimens.69–76 The cells are produced under Current Good Manufacturing Practice (CGMP) regulations enforced by the FDA, and have been recently tested in several animal models. The FDA has approved the use of these cells in amyotrophic lateral sclerosis (ALS) and chronic spinal cord injury clinical trials.
In this proof-of-concept study, we evaluated the aforementioned fetal spinal cord-derived human neural stem cell line (NSI-566) in three strains of rats subjected to PBBI, and assessed survival, differentiation, distribution, and long-term effect on injury-deficit.
Methods
Study design and animals
All animal procedures followed guidelines established by the National Institute of Health (NIH) Guide for the Care and Use of Laboratory Animals, Animal Research: Reporting of In Vivo Experiments (ARRIVE), and were approved by the Walter Reed Army Institute of Research (WRAIR) and University of Miami's Institutional Animal Care and Use Committees. Animals were randomized to experimental groups. Surgical procedures were performed under aseptic conditions. To identify which rodent strain best supported xenotransplantation, Fisher 344 and Sprague–Dawley (SD) with unilateral PBBI were produced. SD and Fisher 344 animals served as test strains to establish efficacy of a chemical immunosuppression regimen. The ATN SD “nude” rats served as positive control, as they lack T-cell-mediated immunity (see Table 1 for animal use). All animals were acquired from Envigo (Indianapolis, IN) at 2–3 months of age, and were operated on at an initial weight of ≥280 g. Following establishment of the transplant paradigm, behavioral assessments were evaluated in a separate study with immunosuppressed SD rats. The sample size calculations are described in the subsequent behavior testing section. Digitizing behavioral data from recorded video tapes, green fluorescent protein (GFP) cell number quantitation in histological sections using unbiased stereology was performed by investigators blinded to the study design and experimental groups. They were also not involved in surgeries, behavior testing, or planning of the experiments.
Table 1.
Exp no. | Measurement | Experimental group | n/group | Results |
---|---|---|---|---|
1 | Engraftment | |||
Week 1 post-transplantation | Athymic SD PBBI+hNSC | 1 | ||
Week 1 post-transplantation | SD PBBI+hNSC | 2 | Fig. 2 | |
Week 2 post-transplantation | Athymic SD PBBI+hNSC | 1 | ||
Week 2 post-transplantation | SD PBBI+hNSC | 2 | Fig. 3 | |
Week 5 post-transplantation | Athymic SD PBBI+hNSC | 1 | ||
Week 5 post-transplantation | SD PBBI+hNSC | 2 | Fig. 1 | |
Week 8 post-transplantation | Athymic SD PBBI+hNSC | 7 | ||
Week 8 post-transplantation | Fisher PBBI+hNSC | 6 | ||
Week 8 post-transplantation | SD PBBI+hNSC | 10 | Figs. 1–3 | |
2 | Morris Water Maze | SD-Sham | 11 | Fig. 7A and B |
SD-PBBI-Vehicle | 9 | |||
SD-PBBI+hNSC | 9a | |||
Week 8 post-transplantation | SD-PBBI+hNSC | 6/9a | Figs. 4 and 6 | |
Week 16 post-transplantation | SD-PBBI+hNSC | 3/9a | Figs. 1,3,4–6 |
Three animals from this group were allowed to survive for 16 weeks post-transplantation histology.
The first column lists the major experiment. The subsequent columns lists outcome measured, experimental groups, and number of rats per group, and in which figures the results are presented.
PBBI, penetrating ballistic-like brain injury; hNSC, human neural stem cell.
Anesthesia
Anesthesia was induced with isoflurane (2–5%) delivered in a mixture of 70% nitrogen and 30% oxygen. Body temperature was maintained at normothermia (37 ± 1°C) throughout all surgical procedures by means of a homeothermic heating system (Harvard Apparatus, South Natick, MA).
PBBI
The PBBI apparatus consists of a penetrating probe (Kadence Science, Lake Success, NY), a stereotaxic frame (Kopf, Tujunga, CA) equipped with a probe holder, and a hydraulic pressure-pulse generator (4B080; MITRE, MA). The penetrating probe is made of a 20G stainless steel tube with fixed perforations along one end that are sealed by a piece of airtight elastic tubing. The anesthetized rat was secured in a stereotaxic frame, and an incision was made along the midline to expose the dorsal surface of the skull. A cranial window was made at +4.5 mm anterior-posterior (AP) and +2mm medial-lateral (ML) from bregma on the right frontal pole. The multi-port balloon-tipped probe was inserted through the burr hole 12 mm into the brain at an angle 25 degrees lateral from midline and 50 degrees deep from the surface. The balloon was then rapidly expanded with water to 6.33 mm diameter for 40 ms by activating the HPD-1700 generator to induce a unilateral PBBI at 10% brain volume. This level of expansion produced a severe but survivable (< 10% mortality) temporary cavity mimicking a ballistic shockwave. The probe was retracted from the rat, the wound was closed with 9 mm wound clips, and the incision site was treated with topical antibiotic.77
Cell transplantation
Transplants were performed 7–10 days following injury. This time point was selected based on the expected abatement of the initial injury-induced inflammatory response and the scheduled immunosuppression regimen, and to avoid freezing or prolonged storage of cells. The anesthetized rat was secured in a stereotaxic frame, and the scalp was reopened along the midline to expose the skull surface. A Hamilton 8000 Gastight 10 μL micro syringe was backfilled and flushed with suspension media and then attached to a World Precision Instruments UMP3 micro syringe injector and micro4 controller. The syringe was filled with NSI-566 cells in suspension media (concentration of 100,000 cells/μL).47 A burr hole was made at −2.5 mm AP and +3 mm ML from bregma, ipsilateral to the injury. The micro syringe was lined up at −2.5 mm AP and +3 mm ML from bregma and advanced vertically 6 mm deep into the brain. Using the micro pump preset, 2 μL were injected at a rate of 1 μL/min. The needle was then retracted to 4 mm depth from the brain surface, and another 2 μL were injected. The transplant locations were within the perilesional zone (PLZ) of the injury, adjacent to the primary injury cavity. This PLZ was previously determined by autoradiographically mapping regional metabolic disruption and secondary cell death in this region following injury.78
Immune suppression
Tacrolimus was administered intraperitoneally (i.p.) at 3 mg/kg beginning 2 days prior to transplantation and continued daily for 2 weeks, then switched to 1 mg/kg/day for the rest of the survival period. Methylprednisolone was injected i.p. weekly beginning on the day of transplant at 10 mg/kg, continuing thereafter at 1 mg/kg throughout the course of survival. Mycophenolate mofetil in 5% dextrose was injected i.p. 30 mg/kg daily, only for the 1st week following transplantation.71,79,80 The animals were maintained on a 12 h/12 h light/dark cycle and given food ad libitum. They were provided an enhanced recovery diet following surgical procedures until baseline weight was re-established. Immune-deficient animals were handled under a laminar airflow hood, in a dedicated closed vivarium room, with sterile gloves for all long-term care procedures.
Behavior testing with the Morris water maze (MWM) test
Sample size calculations for behavioral outcome in this model were computed a priori with software “G*Power 3.1” with type I error α set at 0.05 with power (1-type II error β) 0.8 and estimated effect size (Cohen's d) d = 0.66.77 Learning and memory were assessed at 8 weeks following transplant using the MWM with video tracking system. A platform was placed in a pool (75 cm deep; 175 cm diameter filled to a depth of 60 cm with water maintained at temperature of 22°C) just under the water level at a fixed location 35 cm from the wall of the pool in the northeast quadrant. For each trial, the rat was released into the pool facing the wall from north, south, east, or west starting positions. The north and east start positions were designated short arms and the south and west positions were designated long arms. Start position of each trial was semi-random, alternating short and long, with each start point used once daily. Once released, the rat was allowed to swim until it reached the platform, or until a period of 60 sec had elapsed. If the rat failed to reach the target in the given period, it was manually placed on the platform. Once on the platform, the rat was allowed 10 sec rest before being returned to the cage for a 4–5 min inter-trial rest. Four trials (one at each start position) were performed daily over the course of the first 4 days. Latency to platform presented as the mean ± standard deviation in contrast to previously used methods with the TBI, PBBI models with cell transplantation, where the deficit persisted at least 10 weeks following injury.47,65,77,81 The EthoVision Video Tracking Software (Noldus EthoVision XT) was used to confirm latency to reach platform (which was manually recorded with a stopwatch immediately after the trial); path length and swim speed were traced from video using EthoVision. Animals with evidence of far greater than average transplant rejection (criteria such as surviving transplant cell counts at 8 weeks below one third of average cell survival, and the presence of immune cells) were excluded from behavior analyses.
Specimen collection and histology
Rats were perfused transcardially with 0.1 M phosphate-buffered saline (PBS), followed by cold 4% paraformaldehyde (PFA) in 0.1M phosphate buffer. Brains were dissected out and post-fixed in 4% PFA for 12 h, then transferred to a 30% sucrose solution for 24 h. Brains were frozen in M-1 embedding matrix using dry ice, and stored at −20°C before being sectioned on a cryostat at 40 μm thickness. Sections were stored free floating in 0.02% sodium azide in PBS prior to immunohistochemistry. Samples were assessed with the following primary antibodies: anti-GFP (Millipore MAB1083), NeuN (Millipore MAB377), doublecortin (DCX) (Millipore AB2253), glial fibrillary acidic protein (GFAP) (Dako Z0334), Olig2 (Millipore AB9610), HuNu (Millipore MAB1281), Ki67 (Millipore AB9260), nestin (Millipore ABD60), MBP (Covance, SMI 94), and Calbindin (Cell Signaling #2136X). Appropriate fluorescent secondary antibodies were used (Life Technologies) with 2-(4-amidinophenyl)-1H-indole-6-carboxamidine (DAPI) prior to mounting and imaging.
Imaging and analysis
Volumetric GFP cell counts were generated using the physical fractionator method in StereoInvestigator (version 10.6 Stereo Investigator, MBF Bioscience, Williston, VT) on evenly spaced (0.2 mm apart) brain sections, and used to calculate estimated total cell survival. The percentage of NeuN and GFP double-positive cells in grafts was determined by analysis of raw image files with Imaris 6.0.0.1 software. High-resolution fluorescent images were generated on a confocal microscope (n = 3–5 sections/brain; 3 brains/group). Using Imaris analysis software (version 8.0.1), and based on NeuN-positive host hippocampal neurons, the fluorescence intensity and object diameter were estimated. This served as the threshold for NeuN signal; similarly, a GFP limit was set using the transplanted cells. Points of NeuN-positive signal were automatically counted by approximate diameter and intensity based on host neurons (using the Spots tool). Similarly, GFP-positive points were counted based on diameter and relative background subtraction. The co-occurrence of both signals as calculated by the Imaris software was used to estimate NeuN positivity of grafts at 8 and 16 week time points. The synaptophysin signal was similarly analyzed in Imaris by comparing the occurrence of synaptophysin-positive spots at a set signal threshold in sample sites from transplant location versus contralateral regions of host brain expressing no GFP signal. The incidence of synaptophysin signal was compared overall between GFP-negative and GFP-positive tissue.
Statistical analysis
Histopathological and behavioral end-points were compared by independent samples t tests or analysis of variance (ANOVA) followed by Fisher protected least significant difference (PLSD) post-hoc and paired t test analyses when appropriate (SigmaStat). All data are presented as the mean ± standard deviation, and p values <0.05 were considered significant.77,82 For all experiments, the trained investigators performing the behavioral and neuropathological assessments were blinded to the experimental groups. MWM results were compared using two way repeated measures ANOVA followed by Tukey's test. Data were graphed using GraphPad version 6.0.
Results
Survival
Following PBBI expansion, ∼6mm lesion is produced, spanning the dorsal frontal cortex (+3.0 mm Bregma), anterior striatum, anterior-lateral edge of the caudate nucleus, corpus callosum, and anterior caudate-putamen, and terminating near the amygdala (−3.0 mm Bregma). The injury core and PLZ release a host of inflammatory cytokines including IL-1β, and thus contribute to secondary injury propagation.28,83 It was not known to what extent the toxic PBBI milieu would impede survival of a human cell transplant. Therefore, the human NSI-566 NSCs were transplanted into three different rat strains subjected to PBBI: 1) outbred SD standard laboratory rats, 2) relatively less immunocompetent Fischer 344 rats, and 3) immunocompromised SD ATN rats. The SD and Fischer animals were treated with an immunosuppression regimen as per the protocol previously described.71,79,80 ATN rats were treated with only methylprednisolone weekly, to reduce injury-induced inflammation. Rats were euthanized at specific time points to track graft survival (1, 5, 8, and 16 weeks following transplantation). Robust engraftment could be seen as far as 16 weeks post-transplantation, the last time pointed tested. In the first set of experiments, at 8 weeks, grafts were present in 15/16 SDs, 9/10 ATNs, and 4/6 Fischer 344 (28/32 total). The number of GFP-positive cells was quantitated using unbiased stereological counting, and supplemented with manual counts of confocal images when necessary. No significant difference between ATN and immunosuppressed SD or Fischer rats with PBBI was found in the number of surviving graft cells, which averaged 150% of the original transplanted cell numbers (SD = 6.5 × 105, ATN = 6.2 × 105, Fischer = 5.7 × 105 cells). In next set of experiments for behavioral analysis, following stable immunosuppression of SD rats 3.7 × 105 ± 1.1 × 105 cells could be counted at 8 weeks post- transplantation. This suggests that the immunosuppression regimen is effective in supporting xenogeneic human cell graft survival for the majority of the animals (9/12), in the rodent PBBI model. The transplant size did not vary between 5 and 16 weeks post-transplantation (Fig. 1).
Differentiation
The following results were produced in immunosuppressed SD rats. The human origin of the GFP-positive xenograft was confirmed with HuNu, a marker for human cell nuclei (Fig. 2B, E, and H). At 1 week post-transplant, the cells appeared rounded, undifferentiated, and <5 μm in diameter (Fig. 2A–C). By 8 weeks, the cells had hypertrophied to >10 μm across with extended neuronal-like processes (Fig. 2 D–I). Processes extending from the central soma spread out to into the host tissue, lending support to the development of multipolar neurons. The process of transplanted NSC differentiation was evident based on the decreasing nestin-immunoreactivity over time. Nestin expression was high in transplanted cells at 2 weeks, but reduced by 8 weeks, and was almost absent by 16 weeks (Fig. 3A–L). A similar pattern was observed with nuclear Ki67, where expression at 2 weeks had diminished by 16 weeks (Fig. 3M–T). In brain sections (∼−4.0 mm bregma, 1 mm caudal to lesion) from a representative immunosuppressed SD rat shown in Figure 4 A, The DAPI-stained nucleus (Fig. 4B) indicated by a white arrow belongs to transplanted GFP-positive cells (Fig. 4C) that expressed the immature neuronal lineage marker DCX at 8 weeks (Fig. 4D). A 27 ± 12% fraction of GFP+ cells also expressed NeuN, a marker for mature neurons (1729 NeuN+ out of 6489 GFP+ cells) (Fig. 4E). The combined fluorescence of GFP and DCX (Fig. 4F) dilutes the GFP intensity (compare C with F). Overlay of DCX and NeuN (Fig. 4G) shows different localization of the two antigens. The cell appears yellow (Fig. 4H) because of the combined fluorescence of GFP and NeuN. Corresponding images for the 16 week post-transplantation time point show diffuse DCX expression because of the greater fragmentation into number of processes (Fig. 4D’). At this time, the fraction of NeuN-immunoreactivity of GFP+ cells increased to 43 ± 17% (2791 NeuN+ out of 6357 GFP+ cells), indicating prolonged neuronal differentiation (Fig. 4H’). Overlays confirm the co-expression of DCX with GFP (Fig. 4F’) and NeuN with GFP (Fig. 4H’), and lowered DCX in NeuN cells (Fig. 4G’) (compare G with G’). Further, by week 16 post- transplantation, Calbindin immunoreactivity could be observed in tranplant-derived cells with neuronal morphology (Fig. 4I–K and 4I’–K’). Robust expression of presynaptic protein synaptophysin could be seen in the transplant compared with the host (Fig. 4L), whereas there was no difference in the expression of the postsynaptic protein gephyrin (data not shown). Quantitative analysis of synaptophysin expression in GFP+ tissue and in contralateral GFP- host tissue indicated a significant increase in expression at the site of transplantation. (GFP+ synaptophysin = 350.6 ± 20.7 puncta/mm2 n = 8, GFP- synaptophysin = 251.4 ± 21.9 puncta/mm2 n = 9; p = 0.005) (Fig. 4M). Further orgthogonal analysis confirmed transplant- derived synpatophsin via demonstration of fluorescence overlap (Fig. 4N–P).
The transplant cells did not express GFAP, a marker for astrocytes (Fig. 5A–C), or Olig2, a marker for oligodendrocytes as the human ubiquitin C promoter-driven GFP signal did not overlap with that from antibodies (Fig. 5D–F), as determined by evaluation of confocal imaging of transplant sites. Further, the GFP processes extending from the transplanted cells did not overlap with myelin basic protein from the host, indicating lack of transplant-derived myelination even at 16 weeks (Fig. 5G–I).
Distribution
The GFP cell bodies could be seen up to 1 mm from the initial transplant sites at 8 weeks and even at 16 weeks, indicating little migration of the cells from injection sites. Cells extended processes up to ∼0.5–1 mm from the site of transplantation, by 8 weeks, and those on the edges of the site extended these processes farther into host tissue The transplant-derived processes, however, extended 5 mm rostral and 13 mm caudal to transplant site. Transplanted cells could be seen all along the injection tracts in the thalamus, cortex, and hippocampus and bordering the lateral ventricle. Examples of transplant cell morphology were consistent with pyramidal cells in the cortex (Fig. 6A), hippocampus (Fig. 6B), and both bipolar and multipolar interneuron-like cells in the thalamus (Fig. 6C). This suggests that transplant cells responded to regional cues to determine differentiation patterns. Distally, processes were seen in the ventral brainstem into the spinal cord, extending over 13 mm from the primary transplant site (Fig. 6D–H). These GFP processes extended around the ipsilateral thalamus into the internal capsule (Fig. 6 D, L, and N), along host white matter tracts, crossing the midline (Fig. 6J) and periaqueductal gray (Fig. 6M), and emerged along the contralateral white matter tracts (Fig. 6L and N). Shorter processes were observed throughout the cortex and parts of the hippocampus from the transplant tract.
Behavior
Significant impairment of spatial memory in SD rats with PBBI has been reported previously.77 The effect of transplants on the PBBI-induced deficit was assessed using the MWM at 8 weeks post-transplantation. This time point was deemed the minimum duration needed for differentiation and integration of human neural stem cells.2,79 For latency to platform, a two way repeated measures ANOVA (one factor repetition) revealed a statistically significant interaction between groups and acquisition days (F2,84 = 2.689, p = 0.019). Experimental groups were sham (no PBBI, no cells, n = 12), vehicle (PBBI, no cells, n = 11), and transplant (PBBI, cell transplant, n = 9). The main effect was with acquisition days (F2,84 = 34.505, p ≤ 0.001) but not experimental groups (F2,84 = 1.861, p = 0.174). Next all pairwise multiple comparison procedures (Tukey test) showed that latency to platform was reduced significantly in all experimental groups from day 1 to day 4 of testing (sham p < 0.001, vehicle p = 0.011, transplant p < 0.001). This decrease in latency to platform was not uniform in all groups (sham = 63%, vehicle = 33%, and transplant = 72%). It plateaued from acquisition day 2 to day 4 in the vehicle group (PBBI+vehicle) while continuing to decline in both the sham and transplant groups (sham p = 0.011, vehicle p = 0.259, transplant p < 0.001). Latency was not significantly different between sham and treatment groups (p = 0.676) (Fig. 7A). However, a one way ANOVA conducted on the day 4 data revealed significant between-group differences (F2,30 = 5.952 and p = 0.0067), with post-hoc analysis showing significant improvement on latency to the hidden platform versus PBBI+vehicle (Fig. 7B). The effect size (Hedge's g) for latency to platform at 8 weeks post-transplantation was −1.33 for PBBI+vehicle versus sham, whereas that for PBBI+vehicle vesus PBBI+transplant was −1.0.
For path length, with experimental groups sham (no PBBI, no cells, n = 12), vehicle (PBBI, no cells, n = 10), and transplant (PBBI, cell transplant, n = 9), two way repeated measures ANOVA (one factor repetition) did not reveal a statistically significant interaction between groups and acquisition days (F2,81 = 2.022, p = 0.072). Albeit, the main effect was with acquisition days (F2,81 = 20.319, p ≤ 0.001) but not experimental groups (F2,81 = 1.736, p = 0.195) (Fig. 7C). One way ANOVA of the day 4 path length was also significant (F2, 28 = 6.791 and p = 0.0039) (Fig. 7D). The path length tracings of a representative animal of each group from four release points are shown in Figure 7E. The differences in swim speeds were not statistically significant (data not shown).
Discussion
This study shows human fetal NSC survival, engraftment, and associated functional outcome at 8 weeks post-transplantation following PBBI in rats. This report of durable engraftment of CGMP hNSCs with coincident amelioration of TBI-induced behavioral deficit extends the pioneering efforts exploring the use of human fetal neural cells for TBI.59,64 These results are comparable to previous studies in uninjured or TBI rodent models.45,46,59,64,84,85 Further, we have shown survival with evidence of neuronal differentiation as far out as 4 months, thus meeting the criteria for durability.84 The findings reported here are consistent with those on human fetal neural cell transplants in central nervous system (CNS) injury by Wu's52 and Tuszynki's72 groups. In both studies, engrafted hNSC in injured CNS projected over long distances covering almost the entire neuraxis,72,86 and in particular, the fetal spinal cord-derived NSI-566 cells used in this study have been shown to support functional recovery after spinal cord injury.72 It is a common trend to report the cell counts as percentage survival without direct evidence of lineage. The cells present at latter time points have not conclusively been shown to be the same at the time of transplantation. Therefore, we report quantitation of cells at the time point rather than percentage of transplanted cell survival. The NSI-566 cell transplant morphology and neuronal antibody reactivity of the transplanted cells at 8 and 16 weeks suggests robust neuronal differentiation of transplanted NSCs in PBBI. The number of transplant-derived neurons reported in this study (43%) is much higher than that reported (1%) in other studies,59,64 which could in part be the result of differences in immunosuppression protocol.71,79 The combination of agents is critical for engraftment; previous studies showed complete rejection when only one agent was used.71,79,80
The protcol used in this study renders the animals as immunocompromised as ATN; therefore, the numbers reported here bear similarity to those with TBI ATN, in which ∼38% of the transplanted cells expressed NeuN.65 The duration of differentiation of hNSCs into NeuN-positive cells is consistent with a published report that showed that ∼6–8 weeks were sufficient to induce transplant-derived neurogenesis.2,79,85 The length of processes derived from hNSCs as a function of time is similar to that reported in the literature.59,85 The lack of astrocyte or oligodendrocyte markers is consistent with previous reports at 12 weeks post-transplantation in TBI rats,59,64 and could in part be the result of the short duration of the experiment (16 weeks). Human glial differentiation may occur at a slower rate following transplantation in rodents.
This conclusion is supported by the observation that in the spinal cord injury model, rat NSCs gave rise to 27% neurons and the rest glia, whereas fetal hNSC (NSI-566RSC) gave rise to 57% neurons with no gliogenesis 7 weeks post-transplantation,72 although with longer transplant survival times (5 months) hESC-derived hNSC transplants differentiated 18–38% into neurons, 13–16% into astrocytes, and 11–13% into oligodendrocytes.65 Alternatively, the location of the transplant could affect their potential, and studies are in progress to gather evidence to test this hypothesis. The downregulation of neural stemness markers such as nestin and cell proliferation marker nuclear Ki67 is consistent with the observed neuronal differentiation. The diminishing of nuclear Ki-67 immunoreactivity has been reported earlier with these cells in a spinal cord injury model.72 The distribution of the transplanted GFP cells and axonal processes suggests that they respond to the PBBI milieu, reminiscent of human amniotic membrane placental stem cells (AMPs) in this model. The NSI-566 cells are known to secrete neuroprotective factors such as insulin-like growth factor (IGF)-1.87 Therefore, hNSCs and AMPs could mitigate PBBI-induced remote axonal damage via similar mechanisms.26,31,32 Further, extension of transplant processes along existing host white matter tracts indicates the ability to recapitulate host neural pathways. Extensions through the internal capsule adjacent to the lesion into the host spinal cord suggest that these axons follow motor system pathways, which are usually disrupted in the PBBI model. In addition, presence of GFP processes in the hippocampus suggests that the transplanted cells have potential to interact with memory and learning pathways, which are known to be impaired in PBBI.26 Unlike AMPs that did not need immunosuppression and were not expected to integrate, hNSCs require immunosuppression for engraftment and to differentiate into neurons in the rat host. The three-dimensional environment provided by type I collagen scaffold seemed to be required for AMP cell survival in the injury core,26 whereas the hNSCs survived without any scaffold up to the latest time point tested, that is, 16 weeks post-transplantation. Similar to AMPs, a small fraction of hNSC cells migrated into the subventricular zone and the corpus callosum. The fetal spinal cord-derived hNSCs had greater survival, engraftment, and neuronal differentiation than scaffolded adult rat hippocampal neural progenitor cells in this model.
Unlike rat adult progenitors that migrated into the surrounding brain and differentiated into phenotypes including astrocytes and oligodendrocytes,88 hNSCs did not differentiate into non-neuronal lineages. Further, hNSCs did not need additional factors such as the soluble Nogo receptor (sNgR) to integrate with surrounding viable PBBI tissue. In this model, substantial axon formation was detected with NSI-566 hNSCs, but not with adult rat hippocampal progenitors.89 Taken together, these studies suggest that with delayed transplantation with adequate immunosuppression, the PBBI milieu is conducive to hNSC engraftment.
Transplantation of viable fetal neural progenitor cells (as early as 24 h post-TBI) attenuated host neuronal degeneration (as assessed on day 6 post-transplantation), and also guided host microglia/macrophages toward an anti-inflammation phenotype, indicating a potentially beneficial effect of progenitor cell transplantation on adjacent host cells.43,47,52,53 A similar mechanism needs to be investigated in this model with these cells.
In other TBI and stroke models, cells have been delivered via intravenous (IV), intra-arterial carotid (IAC), or intraparenchymal (IP) injections. However, IV administration causes loss of the majority (∼95%) of the cells during lung passage,48,63,64,84,90 whereas IAC injection carries the risk of causing embolic brain infarction and fails to deliver sufficient cells across the vascular wall barrier to the brain parenchyma, which is the major barrier for putative clinical use of this route. Engraftment after IAC injection is also dependent on cell type and adhesion molecule expression. IAC has been developed with bone marrow MSCs into a clinical trial for stroke.91,92 However, in all TBI studies exploring human cell therapies with neural or non-neural origin hNSCs/progenitors, no engraftment has yet been detected with either IV or IAC.56,64,89,93 Especially in PBBI, where vascular damage is characterized by hemorrhage and reduced perfusion to the lesion,27,28,78,94 vascular approaches may be technically challenging. Together, these data show that direct transplantation of hNSCs to replace damaged neural networks may be a viable approach in the treatment of severe TBI.
Longitudinal characterization of enduring cognitive deficits in PBBI is well documented.77 Amelioration of injury-induced cognitive deficits following human cell transplantation has been extensively reviewed recently.84 These studies have quantified long-term cell survival and neuronal differentiation,59,64 or measured cognitive outcomes,26,31 but not both. The few studies that reported cognitive benefit of human neural stem cell therapy did not exceede 8 weeks;84 therefore, the time required to allow for neuronal differentiation could not demonstrate lasting benefits. In this study, the MWM revealed a PBBI effect, albeit to a lesser extent, consistent with previous work,77,95 and its amelioration at 8 weeks post-transplantation was coincident with neuronal differentiation of hNSCs. The vehicle- treated PBBI animals' learning plateaued (injury effect), whereas that of transplanted PBBI animals continued to improve (reversal of injury effect). These results were both surprising and disappointing, and may be the result of a number of factors. In the absence of significant MWM deficits, we cannot state that we observed significant therapeutic benefits. However, hNSCs did no harm. The animals that received cell transplants did not perform any worse than the PBBI+vehicle group, and showed a trend on day 4 toward performing better. Taken together the data support the conclusion that there is a beneficial, but not a therapeutic, effect of transplant at 8 weeks post-transplantation. As repeated testing of the same animals abrogates the differences between groups,77 future behavioral assessments at different times in separate groups can establish a time dependency of the transplant effect, and determine whether using a working memory testing paradigm would provide more injury-sensitive results for delayed testing.
To enable replication and standardization, we suggested use of quality criteria and rigor. The effect size of PBBI (difference in mean latency to platform between sham and PBBI +vehicle/standard deviation) in this study is comparable with that published for PBBI,77 and the effect size of cell therapy benefit is also comparable with other studies with rat or human NSC transplants.47,59 To our knowledge, this is the first study of human fetal neural stem cell transplant in an immunosuppressed TBI model with a duration of 16 weeks for histology, reporting robust engraftment and neuronal differentiation as well as amelioration of injury-induced cognitive impairment at 8 weeks. According to “The International Society for Stem Cell Research and Center for Biologics Evaluation and Research/Office of Cellular, Tissue and Gene Therapies”67 FDA guidelines, translation of cell transplantation approach in TBI requires evidence supporting: 1) lack of hNSCs tumorigenecity in TBI models, 2) cell dose dependence of behavior alterations in TBI, 3) best site and time for transplantation after TBI, and 4) establishing feasibility and scalability of the approach to both normal and TBI animals with longer gyrencephalic brains, such as the pig or primate.66,67,96 We have, therefore, embarked on a program of dose refinement and safety testing for these cells, as a prelude to human severe TBI clinical trials. Previous human NSC transplants have been shown to be safe.64
Conclusion
This study demonstrates durable engraftment and increasing neuronal differentiation with time for hNSCs in PBBI. The immunohistochemical analysis reveals transition of proliferating hNSCs into differentiated neurons accompanied by homologous morphological changes between 8 and 16 weeks post-transplantation. Presence of presynaptic structural protein in transplant cells suggests that behavior modification is attributable to integration into host tissue. The relatively weak injury effect at the delayed time point confounds the benefits of durable engraftment and neuronal differentiation. Whether the development of these interactions between transplant and host can be evaluated by electrophysiological means needs to be determined. Nevertheless, the propensity for these cells to develop neuronal phenotype, to project extensive processes into the host brain, and to express structural components of synapse, with co-incident absence of a harmful effect on cognitive deficits provides rational and feasibility data for further studies exploring the translatability of the cell therapy.
Acknowledgments
These studies were supported in part by W81XWH-16-2-0008-BAA-150111 to R.M.B. and by the Department of Health State of Florida General Revenue Funds to The Miami Project to Cure Paralysis. P.N.S., a student volunteer from San Francisco State University (SFSU), was supported by an NIH Morehouse College Minority Biomedical Research Support – Research Initiative for Scientific Enhancement (MBRS-RISE) Fellowship and in part by an NIH Summer Student Fellowship. The authors thank Dr. Khadil Hosein, Dr. Meghan O Blaya, Dr. Lai Yee Leung, Dr. Ying Deng-Bryant, Dr. Stanislava Jergova, Dr. Melissa Carballosa-Gautam, Dr. Guobin Zhang, Dr. Adaikkalasamy David (Titus), Dr. Philip Ruiz, Dr. Alex Marcillo, Dr. Donna Avison, David Joel Sequeira, Yoelvis Hernandez, Jessica Monterrosa Mena, Nuan Song, Matthew Aguirre, and Julia Janecki for technical contributions to this study, and Nathan Bryant Schoen, Dr. Meghan O Blaya, and Maria Muniz for proofreading the manuscript.
Author Disclosure Statement
MPH, TGH, and KKJ are employees of Neuralstem, Inc. All other authors have no competing interests to declare.
References
- 1.Hyder A.A., Wunderlich C.A., Puvanachandra P., Gururaj G., and Kobusingye O.C. (2007). The impact of traumatic brain injuries: a global perspective. NeuroRehabilitation 22, 341–353 [PubMed] [Google Scholar]
- 2.Gold E.M., Su D., Lopez–Velazquez L., Haus D.L., Perez H., Lacuesta G.A., Anderson A.J., and Cummings B.J. (2013). Functional assessment of long-term deficits in rodent models of traumatic brain injury. Regen. Med. 8, 483–516 [DOI] [PubMed] [Google Scholar]
- 3.Tasigiorgos S., Economopoulos K.P., Winfield R.D., and Sakran J.V. (2015). Firearm injury in the United States: an overview of an evolving public health problem. J. Am. Coll. Surg. 221, 1005–1014 [DOI] [PubMed] [Google Scholar]
- 4.Joseph B., Aziz H., Pandit V., Kulvatunyou N., O'Keeffe T., Wynne J., Tang A., Friese R.S., and Rhee P. (2014). Improving survival rates after civilian gunshot wounds to the brain. J. Am. Coll. Surg. 218, 58–65 [DOI] [PubMed] [Google Scholar]
- 5.Lin D.J., Lam F.C., Siracuse J.J., Thomas A., and Kasper E.M. (2012). “Time is brain” the Gifford factor – or: Why do some civilian gunshot wounds to the head do unexpectedly well? A case series with outcomes analysis and a management guide. Surg. Neurol. int. 3, 98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Young N.H., and Andrews P.J. (2008). Developing a prognostic model for traumatic brain injury—a missed opportunity? PLoS medicine 5, e168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Corrigan J.D., Selassie A.W., and Orman J.A. (2010). The epidemiology of traumatic brain injury. J. Head Trauma Rehabil. 25, 72–80 [DOI] [PubMed] [Google Scholar]
- 8.Faul M., Xu L., Wald M.M., Coronado V.G. (2010). Traumatic Brain Injury in the United States: Emergency Department Visits, Hospitalizations, and Deaths. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control: Atlanta [Google Scholar]
- 9.Gressot L.V., Chamoun R.B., Patel A.J., Valadka A.B., Suki D., Robertson C.S., and Gopinath S.P. (2014). Predictors of outcome in civilians with gunshot wounds to the head upon presentation. J. Neurosurg. 121, 645–652 [DOI] [PubMed] [Google Scholar]
- 10.Jena A.B., Sun E.C., and Prasad V. (2014). Does the declining lethality of gunshot injuries mask a rising epidemic of gun violence in the United States? J. Gen. Intern. Med. 29, 1065–1069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Langlois J.A., Rutland–Brown W., and Wald M.M. (2006). The epidemiology and impact of traumatic brain injury: a brief overview. J. Head Trauma Rehabil. 21, 375–378 [DOI] [PubMed] [Google Scholar]
- 12.Rosenfeld J.V., Bell R.S., and Armonda R. (2015). Current concepts in penetrating and blast injury to the central nervous system. World J. Surg. 39, 1352–1362 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Defense and Veterans Brain Injury Center, Department of Defense (2016). DoD Worldwide Numbers for TBI. Defense and Veterans Brain Injury Center, Silver Spring, Maryland [Google Scholar]
- 14.Khan M.B., Kumar R., Irfan F.B., Irfan A.B., and Bari M.E. (2014). Civilian craniocerebral gunshot injuries in a developing country: presentation, injury characteristics, prognostic indicators, and complications. World Neurosurg. 82, 14–19 [DOI] [PubMed] [Google Scholar]
- 15.Pruitt B. (2001). Part 2: Prognosis in penetrating brain injury. J. Trauma 51, S44–86 [PubMed] [Google Scholar]
- 16.Guevara A.B., Demonet J.F., Polejaeva E., Knutson K.M., Wassermann E.M., Grafman J., and Krueger F. (2016). Association between traumatic brain injury-related brain lesions and long-term caregiver burden. J. Head Trauma Rehabil. 31, E48–58 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Winn H.R. (2011). Youmans Neurological Surgery, 4-Volume Set, 6th ed. Elsevier: New York [Google Scholar]
- 18.Streib E., Blake D., Christmas A.B., Clancy K., Cocanour C., Cooper C., Driscoll R.P., Eastman A.L., Ekeh A.P., Gonzalez R., Hinsdale J.G., Joseph K., Kuhls D.A., Thomas S.G., Cooper Z., and AAST Prevention Committee (2016). American Association for the Surgery of Trauma statement on firearm injuries. J. Trauma Acute Care Surg. 80, 849. [DOI] [PubMed] [Google Scholar]
- 19.Bramlett H.M., and Dietrich W.D. (2002). Quantitative structural changes in white and gray matter 1 year following traumatic brain injury in rats. Acta Neuropathol. 103, 607–614 [DOI] [PubMed] [Google Scholar]
- 20.Kernie S.G., and Parent J.M. (2010). Forebrain neurogenesis after focal Ischemic and traumatic brain injury. Neurobiol. Dis. 37, 267–274 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Richardson R.M., Sun D., and Bullock M.R. (2007). Neurogenesis after traumatic brain injury. Neurosurg. Clin. N. Am. 18, 169–181, xi. [DOI] [PubMed] [Google Scholar]
- 22.Lozano D., Gonzales–Portillo G.S., Acosta S., de la Pena I., Tajiri N., Kaneko Y., and Borlongan C.V. (2015). Neuroinflammatory responses to traumatic brain injury: etiology, clinical consequences, and therapeutic opportunities. Neuropsychiatr. Dis. Treat. 11, 97–106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Maxwell W.L., MacKinnon M.A., Stewart J.E., and Graham D.I. (2010). Stereology of cerebral cortex after traumatic brain injury matched to the Glasgow outcome score. Brain 133, 139–160 [DOI] [PubMed] [Google Scholar]
- 24.Ramlackhansingh A.F., Brooks D.J., Greenwood R.J., Bose S.K., Turkheimer F.E., Kinnunen K.M., Gentleman S., Heckemann R.A., Gunanayagam K., Gelosa G., and Sharp D.J. (2011). Inflammation after trauma: microglial activation and traumatic brain injury. Ann. Neurol. 70, 374–383 [DOI] [PubMed] [Google Scholar]
- 25.Oehmichen M., and Meissner C. (2009). Routine techniques in forensic neuropathology as demonstrated by gunshot injury to the head. Leg. Med. 11, Suppl. 1, S50–53 [DOI] [PubMed] [Google Scholar]
- 26.Chen Z., Lu X.C., Shear D.A., Dave J.R., Davis A.R., Evangelista C.A., Duffy D., and Tortella F.C. (2011). Synergism of human amnion-derived multipotent progenitor (AMP) cells and a collagen scaffold in promoting brain wound recovery: pre-clinical studies in an experimental model of penetrating ballistic-like brain injury. Brain Res. 1368, 71–81 [DOI] [PubMed] [Google Scholar]
- 27.Williams A.J., Hartings J.A., Lu X.C., Rolli M.L., Dave J.R., and Tortella F.C. (2005). Characterization of a new rat model of penetrating ballistic brain injury. J. Neurotrauma 22, 313–331 [DOI] [PubMed] [Google Scholar]
- 28.Williams A.J., Wei H.H., Dave J.R., and Tortella F.C. (2007). Acute and delayed neuroinflammatory response following experimental penetrating ballistic brain injury in the rat. J. Neuroinflammation 4, 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lu X.C., Shear D.A., Graham P.B., Bridson G.W., Uttamsingh V., Chen Z., Leung L.Y., and Tortella F.C. (2015). Dual therapeutic effects of C-10068, a dextromethorphan derivative, against post-traumatic nonconvulsive seizures and neuroinflammation in a rat model of penetrating ballistic-like brain injury. J. Neurotrauma [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Shear D.A., and Tortella F.C. (2013). A military-centered approach to neuroprotection for traumatic brain injury. Front. Neurol. 4, 73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chen Z., Tortella F.C., Dave J.R., Marshall V.S., Clarke D.L., Sing G., Du F., and Lu X.C. (2009). Human amnion-derived multipotent progenitor cell treatment alleviates traumatic brain injury-induced axonal degeneration. J. Neurotrauma 26, 1987–1997 [DOI] [PubMed] [Google Scholar]
- 32.Deng–Bryant Y., Readnower R.D., Leung L.Y., Cunningham T.L., Shear D.A., and Tortella F.C. (2015). Treatment with amnion-derived cellular cytokine solution (ACCS) induces persistent motor improvement and ameliorates neuroinflammation in a rat model of penetrating ballistic-like brain injury. Restor. Neurol. Neurosci. 33, 189–203 [DOI] [PubMed] [Google Scholar]
- 33.Bonaventura G., Chamayou S., Liprino A., Guglielmino A., Fichera M., Caruso M., and Barcellona M.L. (2015). Different tissue-derived stem cells: a comparison of neural differentiation capability. PloS one 10, e0140790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Yan Z.J., Zhang P., Hu Y.Q., Zhang H.T., Hong S.Q., Zhou H.L., Zhang M.Y., and Xu R.X. (2013). Neural stem-like cells derived from human amnion tissue are effective in treating traumatic brain injury in rat. Neurochem. Res. 38, 1022–1033 [DOI] [PubMed] [Google Scholar]
- 35.Kopen G.C., Prockop D.J., and Phinney D.G. (1999). Marrow stromal cells migrate throughout forebrain and cerebellum, and they differentiate into astrocytes after injection into neonatal mouse brains. Proc. Natl. Acad. Sci. U. S. A. 96, 10711–10716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Peng W., Sun J., Sheng C., Wang Z., Wang Y., Zhang C., and Fan R. (2015). Systematic review and meta-analysis of efficacy of mesenchymal stem cells on locomotor recovery in animal models of traumatic brain injury. Stem Cell Res. Ther. 6, 47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Xiong Y., Mahmood A., and Chopp M. (2010). Neurorestorative treatments for traumatic brain injury. Discov. Med. 10, 434–442 [PMC free article] [PubMed] [Google Scholar]
- 38.Zhang Y., Chopp M., Meng Y., Katakowski M., Xin H., Mahmood A., and Xiong Y. (2015). Effect of exosomes derived from multipluripotent mesenchymal stromal cells on functional recovery and neurovascular plasticity in rats after traumatic brain injury. J. Neurosurg. 122, 856–867 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Steinbeck J.A., and Studer L. (2015). Moving stem cells to the clinic: potential and limitations for brain repair. Neuron 86, 187–206 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Rolfe A., and Sun D. (2015). Stem cell therapy in brain trauma: implications for repair and regeneration of injured brain in experimental TBI models, in: Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Kobeissy F.H. (ed.). CRC Press, Boca Raton, FL, pp. 587–596 [PubMed] [Google Scholar]
- 41.Kochanek P.M., Jackson T.C., Ferguson N.M., Carlson S.W., Simon D.W., Brockman E.C., Ji J., Bayir H., Poloyac S.M., Wagner A.K., Kline A.E., Empey P.E., Clark R.S., Jackson E.K., and Dixon C.E. (2015). Emerging therapies in traumatic brain injury. Semin. Neurol. 35, 83–100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gennai S., Monsel A., Hao Q., Liu J., Gudapati V., Barbier E.L., and Lee J.W. (2015). Cell-based therapy for traumatic brain injury. Br. J. Anaesth. 115, 203–212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Gao J., Grill R.J., Dunn T.J., Bedi S., Labastida J.A., Hetz R.A., Xue H., Thonhoff J.R., DeWitt D.S., Prough D.S., Cox C.S., Jr., and Wu P. (2016). Human neural stem cell transplantation-mediated alteration of microglial/macrophage phenotypes after traumatic brain injury. Cell Transplant. 25, 1863–1877 [DOI] [PubMed] [Google Scholar]
- 44.Gage F.H., and Temple S. (2013). Neural stem cells: generating and regenerating the brain. Neuron 80, 588–601 [DOI] [PubMed] [Google Scholar]
- 45.Anderson A.J., Haus D.L., Hooshmand M.J., Perez H., Sontag C.J., and Cummings B.J. (2011). Achieving stable human stem cell engraftment and survival in the CNS: is the future of regenerative medicine immunodeficient? Regen. Med. 6, 367–406 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Giusto E., Donega M., Cossetti C., and Pluchino S. (2014). Neuro-immune interactions of neural stem cell transplants: from animal disease models to human trials. Exp. Neurol. 260, 19–32 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Blaya M.O., Tsoulfas P., Bramlett H.M., and Dietrich W.D. (2015). Neural progenitor cell transplantation promotes neuroprotection, enhances hippocampal neurogenesis, and improves cognitive outcomes after traumatic brain injury. Exp. Neurol. 264, 67–81 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Harting M.T., Sloan L.E., Jimenez F., Baumgartner J., and Cox C.S., Jr. (2009). Subacute neural stem cell therapy for traumatic brain injury. J. Surg. Res. 153, 188–194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ma H., Yu B., Kong L., Zhang Y., and Shi Y. (2011). Transplantation of neural stem cells enhances expression of synaptic protein and promotes functional recovery in a rat model of traumatic brain injury. Mol. Med. Rep. 4, 849–856 [DOI] [PubMed] [Google Scholar]
- 50.Ma H., Yu B., Kong L., Zhang Y., and Shi Y. (2012). Neural stem cells over-expressing brain-derived neurotrophic factor (BDNF) stimulate synaptic protein expression and promote functional recovery following transplantation in rat model of traumatic brain injury. Neurochem. Res. 37, 69–83 [DOI] [PubMed] [Google Scholar]
- 51.Al Nimer F., Wennersten A., Holmin S., Meijer X., Wahlberg L., and Mathiesen T. (2004). MHC expression after human neural stem cell transplantation to brain contused rats. Neuroreport 15, 1871–1875 [DOI] [PubMed] [Google Scholar]
- 52.Gao J., Prough D.S., McAdoo D.J., Grady J.J., Parsley M.O., Ma L., Tarensenko Y.I., and Wu P. (2006). Transplantation of primed human fetal neural stem cells improves cognitive function in rats after traumatic brain injury. Exp. Neurol. 201, 281–292 [DOI] [PubMed] [Google Scholar]
- 53.Hagan M., Wennersten A., Meijer X., Holmin S., Wahlberg L., and Mathiesen T. (2003). Neuroprotection by human neural progenitor cells after experimental contusion in rats. Neurosci. Lett. 351, 149–152 [DOI] [PubMed] [Google Scholar]
- 54.Hwang do W., Jin Y., Lee do H., Kim H.Y., Cho H.N., Chung H.J., Park Y., Youn H., Lee S.J., Lee H.J., Kim S.U., Wang K.C., and Lee D.S. (2014). In vivo bioluminescence imaging for prolonged survival of transplanted human neural stem cells using 3D biocompatible scaffold in corticectomized rat model. PloS One 9, e105129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Lee D.H., Lee J.Y., Oh B.M., Phi J.H., Kim S.K., Bang M.S., Kim S.U., and Wang K.C. (2013). Functional recovery after injury of motor cortex in rats: effects of rehabilitation and stem cell transplantation in a traumatic brain injury model of cortical resection. Child Nerv. Syst. 29, 403–411 [DOI] [PubMed] [Google Scholar]
- 56.Lundberg J., Sodersten E., Sundstrom E., Le Blanc K., Andersson T., Hermanson O., and Holmin S. (2012). Targeted intra-arterial transplantation of stem cells to the injured CNS is more effective than intravenous administration: engraftment is dependent on cell type and adhesion molecule expression. Cell Transplant. 21, 333–343 [DOI] [PubMed] [Google Scholar]
- 57.Skardelly M., Gaber K., Burdack S., Scheidt F., Schuhmann M.U., Hilbig H., Meixensberger J., and Boltze J. (2014). Transient but not permanent benefit of neuronal progenitor cell therapy after traumatic brain injury: potential causes and translational consequences. Front. Cell. Neurosci. 8, 318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wang E., Gao J., Yang Q., Parsley M.O., Dunn T.J., Zhang L., DeWitt D.S., Denner L., Prough D.S., and Wu P. (2012). Molecular mechanisms underlying effects of neural stem cells against traumatic axonal injury. J. Neurotrauma 29, 295–312 [DOI] [PubMed] [Google Scholar]
- 59.Wennersten A., Holmin S., Al Nimer F., Meijer X., Wahlberg L.U., and Mathiesen T. (2006). Sustained survival of xenografted human neural stem/progenitor cells in experimental brain trauma despite discontinuation of immunosuppression. Exp. Neurol. 199, 339–347 [DOI] [PubMed] [Google Scholar]
- 60.Wennersten A., Meier X., Holmin S., Wahlberg L., and Mathiesen T. (2004). Proliferation, migration, and differentiation of human neural stem/progenitor cells after transplantation into a rat model of traumatic brain injury. J. Neurosurg. 100, 88–96 [DOI] [PubMed] [Google Scholar]
- 61.Tsyb A.F., Yuzhakov V.V., Roshal L.M., Sukhikh G.T., Konoplyannikov A.G., Sushkevich G.N., Yakovleva N.D., Ingel I.E., Bandurko L.N., Sevan'kaeva L.E., Mikhina L.N., Fomina N.K., Marei M.V., Semenova Zh B., Konoplyannikova O.A., Kal'sina S., Lepekhina L.A., Semenkova I.V., Agaeva E.V., Shevchuk A.S., Pavlova L.N., Tokarev O.Y., Karaseva O.V., and Chernyshova T.A. (2009). Morphofunctional study of the therapeutic efficacy of human mesenchymal and neural stem cells in rats with diffuse brain injury. Bull. Exp. Biol. Med. 147, 132–146 [DOI] [PubMed] [Google Scholar]
- 62.Roshal L.M., Tzyb A.F., Pavlova L.N., Soushkevitch G.N., Semenova J.B., Javoronkov L.P., Kolganova O.I., Konoplyannikov A.G., Shevchuk A.S., Yujakov V.V., Karaseva O.V., Ivanova T.F., Chernyshova T.A., Konoplyannikova O.A., Bandurko L.N., Marey M.V., and Sukhikh G.T. (2009). Effect of cell therapy on recovery of cognitive functions in rats during the delayed period after brain injury. Bull. Exp. Biol. Med. 148, 140–147 [DOI] [PubMed] [Google Scholar]
- 63.Ahmed A.I., Gajavelli S., Spurlock M.S., Chieng L.O., and Bullock M.R. (2015). Stem cells for therapy in TBI. J. R. Army Med. Corps 162, 98–102 [DOI] [PubMed] [Google Scholar]
- 64.Skardelly M., Gaber K., Burdack S., Scheidt F., Hilbig H., Boltze J., Forschler A., Schwarz S., Schwarz J., Meixensberger J., and Schuhmann M.U. (2011). Long-term benefit of human fetal neuronal progenitor cell transplantation in a clinically adapted model after traumatic brain injury. J. Neurotrauma 28, 401–414 [DOI] [PubMed] [Google Scholar]
- 65.Haus D.L., Lopez–Velazquez L., Gold E.M., Cunningham K.M., Perez H., Anderson A.J., and Cummings B.J. (2016). Transplantation of human neural stem cells restores cognition in an immunodeficient rodent model of traumatic brain injury. Exp. Neurol. 281, 1–16 [DOI] [PubMed] [Google Scholar]
- 66.Bailey A.M., Mendicino M., and Au P. (2014). An FDA perspective on preclinical development of cell-based regenerative medicine products. Nat. Biotechnol. 32, 721–723 [DOI] [PubMed] [Google Scholar]
- 67.Office of Cellular, Tissue, and Gene Therapy (OCTGT). (2013). Guidance for Industry Preclinical Assessment of Investigational Cellular and Gene Therapy Products. Services, U.S. Food and Drug Administration: Silver Spring, MD [Google Scholar]
- 68.Guo X., Johe K., Molnar P., Davis H., and Hickman J. (2010). Characterization of a human fetal spinal cord stem cell line, NSI-566RSC, and its induction to functional motoneurons. J. Tissue Eng. Regen. Med. 4, 181–193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Feldman E.L., Boulis N.M., Hur J., Johe K., Rutkove S.B., Federici T., Polak M., Bordeau J., Sakowski S.A., and Glass J.D. (2014). Intraspinal neural stem cell transplantation in amyotrophic lateral sclerosis: phase 1 trial outcomes. Ann. Neurol. 75, 363–373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Glass J.D., Boulis N.M., Johe K., Rutkove S.B., Federici T., Polak M., Kelly C., and Feldman E.L. (2012). Lumbar intraspinal injection of neural stem cells in patients with amyotrophic lateral sclerosis: results of a phase I trial in 12 patients. Stem Cells 30, 1144–1151 [DOI] [PubMed] [Google Scholar]
- 71.Hefferan M.P., Galik J., Kakinohana O., Sekerkova G., Santucci C., Marsala S., Navarro R., Hruska–Plochan M., Johe K., Feldman E., Cleveland D.W., and Marsala M. (2012). Human neural stem cell replacement therapy for amyotrophic lateral sclerosis by spinal transplantation. PloS One 7, e42614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Lu P., Wang Y., Graham L., McHale K., Gao M., Wu D., Brock J., Blesch A., Rosenzweig E.S., Havton L.A., Zheng B., Conner J.M., Marsala M., and Tuszynski M.H. (2012). Long-distance growth and connectivity of neural stem cells after severe spinal cord injury. Cell 150, 1264–1273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Riley J., Federici T., Polak M., Kelly C., Glass J., Raore B., Taub J., Kesner V., Feldman E.L., and Boulis N.M. (2012). Intraspinal stem cell transplantation in amyotrophic lateral sclerosis: a phase I safety trial, technical note, and lumbar safety outcomes. Neurosurgery 71, 405–416 [DOI] [PubMed] [Google Scholar]
- 74.Riley J., Glass J., Feldman E.L., Polak M., Bordeau J., Federici T., Johe K., and Boulis N.M. (2014). Intraspinal stem cell transplantation in amyotrophic lateral sclerosis: a phase I trial, cervical microinjection, and final surgical safety outcomes. Neurosurgery 74, 77–87 [DOI] [PubMed] [Google Scholar]
- 75.Tadesse T., Gearing M., Senitzer D., Saxe D., Brat D.J., Bray R., Gebel H., Hill C., Boulis N., Riley J., Feldman E., Johe K., Hazel T., Polak M., Bordeau J., Federici T., and Glass J.D. (2014). Analysis of graft survival in a trial of stem cell transplant in ALS. Ann. Clin. Transl. Neurol. 1, 900–908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Tajiri N., Quach D.M., Kaneko Y., Wu S., Lee D., Lam T., Hayama K.L., Hazel T.G., Johe K., Wu M.C., and Borlongan C.V. (2014). Behavioral and histopathological assessment of adult ischemic rat brains after intracerebral transplantation of NSI-566RSC cell lines. PloS One 9, e91408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Shear D.A., Lu X.C., Bombard M.C., Pedersen R., Chen Z., Davis A., and Tortella F.C. (2010). Longitudinal characterization of motor and cognitive deficits in a model of penetrating ballistic-like brain injury. J. Neurotrauma 27, 1911–1923 [DOI] [PubMed] [Google Scholar]
- 78.Gajavelli S., Kentaro S., Diaz J., Yokobori S., Spurlock M., Diaz D., Jackson C., Wick A., Zhao W., Leung L.Y., Shear D., Tortella F., and Bullock M.R. (2015). Glucose and oxygen metabolism after penetrating ballistic-like brain injury. J. Cereb. Blood Flow Metabol. 35, 773–780 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Hefferan M.P., Johe K., Hazel T., Feldman E.L., Lunn J.S., and Marsala M. (2011). Optimization of immunosuppressive therapy for spinal grafting of human spinal stem cells in a rat model of ALS. Cell Transplant. 20, 1153–1161 [DOI] [PubMed] [Google Scholar]
- 80.Yan J., Xu L., Welsh A.M., Chen D., Hazel T., Johe K., and Koliatsos V.E. (2006). Combined immunosuppressive agents or CD4 antibodies prolong survival of human neural stem cell grafts and improve disease outcomes in amyotrophic lateral sclerosis transgenic mice. Stem Cells 24, 1976–1985 [DOI] [PubMed] [Google Scholar]
- 81.Vorhees C.V. and Williams M.T. (2006). Morris water maze: procedures for assessing spatial and related forms of learning and memory. Nat. Protoc. 1, 848–858 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Cumming G., Fidler F., and Vaux D.L. (2007). Error bars in experimental biology. J. Cell Biol. 177, 7–11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Wei H.H., Lu X.C., Shear D.A., Waghray A., Yao C., Tortella F.C., and Dave J.R. (2009). NNZ-2566 treatment inhibits neuroinflammation and pro-inflammatory cytokine expression induced by experimental penetrating ballistic-like brain injury in rats. J. Neuroinflammation 6, 19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Chang J., Phelan M., and Cummings B.J. (2015). A meta-analysis of efficacy in pre-clinical human stem cell therapies for traumatic brain injury. Exp. Neurol. 273, 225–233 [DOI] [PubMed] [Google Scholar]
- 85.Tennstaedt A., Aswendt M., Adamczak J., Collienne U., Selt M., Schneider G., Henn N., Schaefer C., Lagouge M., Wiedermann D., Kloppenburg P., and Hoehn M. (2015). Human neural stem cell intracerebral grafts show spontaneous early neuronal differentiation after several weeks. Biomaterials 44, 143–154 [DOI] [PubMed] [Google Scholar]
- 86.Wu P., Ye Y., and Svendsen C.N. (2002). Transduction of human neural progenitor cells using recombinant adeno-associated viral vectors. Gene Ther. 9, 245–255 [DOI] [PubMed] [Google Scholar]
- 87.Yan J., Xu L., Welsh A.M., Hatfield G., Hazel T., Johe K., and Koliatsos V.E. (2007). Extensive neuronal differentiation of human neural stem cell grafts in adult rat spinal cord. PLoS Med. 4, e39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Elias P.Z., and Spector M. (2012). Implantation of a collagen scaffold seeded with adult rat hippocampal progenitors in a rat model of penetrating brain injury. J. Neurosci. Methods 209, 199–211 [DOI] [PubMed] [Google Scholar]
- 89.Elias P.Z., and Spector M. (2015). Treatment of penetrating brain injury in a rat model using collagen scaffolds incorporating soluble Nogo receptor. J. Tissue Eng. Regen. Med. 9, 137–150 [DOI] [PubMed] [Google Scholar]
- 90.Pendharkar A.V., Chua J.Y., Andres R.H., Wang N., Gaeta X., Wang H., De A., Choi R., Chen S., Rutt B.K., Gambhir S.S., and Guzman R. (2010). Biodistribution of neural stem cells after intravascular therapy for hypoxic-ischemia. Stroke 41, 2064–2070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Leong W.K., Lewis M.D., Koblar S.A. (2013). Preclinical studies on human cell-based therapy in rodent ischemic stroke models: Where are we now after a decade? Stem Cells 31, 1040–1043 [DOI] [PubMed] [Google Scholar]
- 92.Yavagal D.R., Lin B., Raval A.P., Garza P.S., Dong C., Zhao W., Rangel E.B., McNiece I., Rundek T., Sacco R.L., Perez–Pinzon M., and Hare J.M. (2014). Efficacy and dose-dependent safety of intra-arterial delivery of mesenchymal stem cells in a rodent stroke model. PloS One 9, e93735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Tajiri N., Acosta S.A., Shahaduzzaman M., Ishikawa H., Shinozuka K., Pabon M., Hernandez–Ontiveros D., Kim D.W., Metcalf C., Staples M., Dailey T., Vasconcellos J., Franyuti G., Gould L., Patel N., Cooper D., Kaneko Y., Borlongan C.V., and Bickford P.C. (2014). 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. 34, 313–326 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Boutte A.M., Yao C., Kobeissy F., May Lu X.C., Zhang Z., Wang K.K., Schmid K., Tortella F.C., and Dave J.R. (2012). Proteomic analysis and brain-specific systems biology in a rodent model of penetrating ballistic-like brain injury. Electrophoresis 33, 3693–3704 [DOI] [PubMed] [Google Scholar]
- 95.Dixon C.E., Bramlett H.M., Dietrich W.D., Shear D.A., Yan H.Q., Deng–Bryant Y., Mondello S., Wang K.K., Hayes R.L., Empey P.E., Povlishock J.T., Tortella F.C., and Kochanek P.M. (2016). Cyclosporine treatment in traumatic brain injury: operation brain trauma therapy. J. Neurotrauma 33, 553–566 [DOI] [PubMed] [Google Scholar]
- 96.Hyun I., Lindvall O., Ahrlund–Richter L., Cattaneo E., Cavazzana–Calvo M., Cossu G., De Luca M., Fox I.J., Gerstle C., Goldstein R.A., Hermeren G., High K.A., Kim H.O., Lee H.P., Levy–Lahad E., Li L., Lo B., Marshak D.R., McNab A., Munsie M., Nakauchi H., Rao M., Rooke H.M., Valles C.S., Srivastava A., Sugarman J., Taylor P.L., Veiga A., Wong A.L., Zoloth L., and Daley G.Q. (2008). New ISSCR guidelines underscore major principles for responsible translational stem cell research. Cell Stem Cell 3, 607–609 [DOI] [PubMed] [Google Scholar]