Abstract
Cell transplantation therapy offers great potential to improve impairments after stroke. However, the importance of donor age on therapeutic efficacy is unclear. We investigated the regenerative capacity of transplanted cells focusing on donor age (young vs. old) for ischaemic stroke. The quantities of human mesenchymal stem cell (hMSC) secreted brain-derived neurotrophic factor in vitro and of monocyte chemotactic protein-1 at day 7 in vivo were both significantly higher for young hMSC compared with old hMSC. Male Sprague-Dawley rats subjected to transient middle cerebral artery occlusion that received young hMSC (trans-arterially at 24 h after stroke) showed better behavioural recovery with prevention of brain atrophy compared with rats that received old hMSC. Histological analysis of the peri-infarct cortex showed that rats treated with young hMSC had significantly fewer microglia and more vessels covered with pericytes. Interestingly, migration of neural stem/progenitor cells expressing Musashi-1 positively correlated with astrocyte process alignment, which was more pronounced for young hMSC. Aging of hMSC may be a critical factor that affects cell therapy outcomes, and transplantation of young hMSC appears to provide better functional recovery through anti-inflammatory effects, vessel maturation, and neurogenesis potentially by the dominance of trophic factor secretion.
Keywords: Aging, cell transplantation, neuronal-glial interaction, stroke, stem cell
Introduction
Recent advances in stroke treatment including antithrombotic drugs and endovascular techniques have provided better outcomes.1 Nevertheless, post-stroke treatment is still challenging for patients suffering stroke-induced motor weakness, speech disturbances, and other deficits, which directly affect their daily activity and quality of life. Cell transplantation therapy holds great promise for such impairments after stroke,2 and many clinical trials are currently ongoing worldwide.3 This new strategy, however, has some fundamental questions that remain to be answered including adequate candidate donors (age, aetiology, infarct size, and lesion), best donor cell-type, optimal cell dose, timing, and delivery route.4–6
Mesenchymal stem cells (MSCs) are an attractive source of cells for transplantation after stroke as they are relatively easy to obtain and culture. While MSCs can transdifferentiate into endothelial or neural cells, it was shown they have a restorative effect by aiding injured brain and enhancing endogenous recovery after stroke.6 Autologous transplantation has minimal safety concerns because a patient’s own MSCs can be used for therapy. We previously reported that the intra-arterial MSC transplantation of adult human cells improved experimental stroke models both functionally and histologically.4,6 However, the age of the MSC donor may affect stem cell functions.7 Older MSCs were reported to have decreased proliferation and secretion of trophic factors.8 In cell transplantation for cardiovascular or other diseases, stem cells from older people were reported to have decreased regenerative capacities.9–13 We assume that these unfavourable characteristics of aged stem cells might also affect the success of cell therapy for stroke.
High levels of serum brain-derived neurotrophic factor (BDNF) were reported to provide good functional recovery after ischaemic stroke,14 and BDNF secreted from MSC was an important neurotrophic factor in cell transplantation therapy following ischaemic stroke.15 A recent clinical study also suggested that higher levels of platelet-derived growth factor (PDGF)-BB produced from MSC16,17 were associated with better functional outcomes after intra-arterial transplantation for stroke.18 Therefore, we investigated (1) whether the level of BDNF and PDGF-BB secretion differs between young and old human MSCs (hMSCs), and (2) whether donor age affects functional and structural recovery in addition to inflammation, neovascularisation, and endogenous neural stem/progenitor cell migration. Finally, we assessed the hypothesis that hMSCs from younger donors provide better recovery with structural arrangement after transplantation for ischaemic stroke.
Materials and methods
Ethics statement
All animal experiments were conducted according to the Guidelines for Proper Conduct of Animal Experiments by the Science Council of Japan (1 June 2006) (http://www.scj.go.jp/ja/info/kohyo/pdf/kohyo-20-k16-2e.pdf). All animal procedures were performed in accordance with and approved by the Administrative Panel on Laboratory Animal Care of Nagasaki University and in accordance with the ARRIVE guidelines.
Animals
We used 86 male Sprague-Dawley rats (aged 8–9 weeks, weighing 250–330 g). Rats were housed three per cage in the animal facility of Nagasaki University at 24 ± 3℃ and 60 ± 25% humidity with 12 h of light per day and with free access to food and water. The animals were allocated to experimental groups randomly using a manual method (ghost leg). Sample size was determined as previously described.4,6
Trophic factor quantification and proliferative activity of hMSC in vitro
The levels of trophic factors were measured from two hMSC groups: young hMSCs from RIKEN BRC (Tsukuba, Japan), Lonza (Tokyo, Japan), Cosmo Bio (Tokyo, Japan), and old hMSCs from RIKEN BRC, Takara Bio (Kusatsu, Japan). Levels of BDNF (young hMSCs: n = 5, 20–34 years, median 25.0 years; old hMSCs: n = 6, 57–77 years, median 63.5 years), and PDGF-BB (young hMSCs: n = 3, 20–30 years, median 25 years; old hMSCs: n = 4, 57–65 years, median 61.5 years) were quantified in vitro. Cells were plated into a 6-well dish (1 × 105 cells, n1) and cultured in MSCGM™ (Lonza, Japan; Product Code: PT-3001). At confluence, cells were made quiescent by incubation in 1 ml of medium containing basic fibroblast growth factor (10 ng/ml). Twenty-four hours later, supernatants were collected and cell numbers (n2) were counted. Conditioned medium (CM) was analysed by Luminex assay. A MILLIPLEX MAP kit (Millipore, Bedford, MA, USA) was used for microsphere-based multiplex immunoassays to measure the concentrations of BDNF and PDGF-BB.
Doubling time was calculated at passage, using the following formula: doubling time (days) = culture time (days) × ln (2)/ln (n2/n1).
Middle cerebral artery occlusion and reperfusion model
Transient middle cerebral artery occlusion was performed for 75 min with 4.0 nylon monofilament sutures coated with silicone (4039PK10; Doccol) as previously described.4,6,19 Rats showing a modified neurological severity score (mNSS) from six to nine points at 24 h post-stroke were included in this study.20
Cell culture and transplantation
hMSCs obtained from RIKEN BRC were originally isolated by iliac crest aspiration from a 64-year-old man and a 24-year-old man.21 As previously described, cells were prepared and cells or phosphate-buffered saline (PBS) were injected into the internal carotid artery through a catheter inserted from the stump of the distal external carotid artery to the internal carotid artery via bifurcation at 24 h after cerebral infarction.4 Nutrition and hydration for all animals were provided in accordance with the Administrative Panel on Laboratory Animal Care of Nagasaki University. Rats with severe stroke were housed in separate cages to allow easy access to food and water.
We divided the animals into three groups: young hMSC group (24-year-old MSCs 1 × 106 cells/300 μl); old hMSC group (64-year-old MSCs 1 × 106 cells/300 μl); and control group (PBS 300 μl). The operator was blinded to the age and treatment group allocation during surgery. Cell dose (1 × 106) was determined based on previous reports including our own.4,6,22 Cyclosporine A (10 mg/kg) was injected intraperitoneally once every two days until euthanasia. The number of rats used for each experiment is summarised in Supplementary Table 1. The following conditions excluded rats from analyses: (1) ineligible mNSS outside six to nine points (n = 16), (2) death (control group (n = 5), old hMSC group (n = 5), young hMSC group (n = 4)), and (3) postoperative complication (n = 1). Experiments were reported according to the ARRIVE guidelines.
Neurobehavioural assessment
To evaluate the functional recovery of rats (young hMSC group; n = 9, old hMSC group; n = 8, control group; n = 10), behavioural assessment was performed at days (D) 0, 1, 2, 7, 10, 14, 17, and 21 after stroke using the mNSS, which consisted of motor, sensory reflex, and balance tests (Supplementary Table 2). Investigators were blinded to treatment group allocation during outcome evaluation.
Tissue processing and immunohistochemistry
After deep anaesthesia using isoflurane, we performed perfusion fixation using 100 ml 4% paraformaldehyde (PFA) after 100 ml of cold saline via the ascending aorta at D2, D7, or D21. Then, brains were removed and postfixed in 4% PFA overnight and equilibrated in 30% sucrose at 4℃. After brains sank in the solution, 40 -µm frozen coronal sections were prepared. All sections for immunofluorescence staining were stained by the free-floating method. For immunofluorescence staining, sections were incubated with primary antibodies (mouse anti-RECA-1: Abcam, Tokyo, Japan; 1:500, rabbit anti-Iba-1: Wako Chemicals, Osaka, Japan; 1:500, mouse anti-glial fibrillary acidic protein (GFAP): MAB3402; Chemicon, Temecula, CA, USA; 1:500, rat anti-Musashi-1 (Msi-1): Medical and Biological Laboratories Co. Ltd, Nagoya, Japan; 1:100) overnight at 4℃ or other primary antibodies (mouse anti-human cytoplasmic marker STEM 121:AB-121-U-050; Stem Cells Inc., Palo Alto, CA, USA; 1:100, rabbit anti-platelet-derived growth factor receptor (PDGFR)-β: Cell Signaling Technology Inc., Danvers, MA, USA; 1:50) for two nights at 4℃. They were then incubated with secondary antibodies (TOPRO-3: Molecular Probes, 1:1000; Alexa Fluor 488 goat anti-mouse IgG: Molecular Probes, 1:1000; Alexa Fluor 488 goat anti-rabbit IgG: Molecular Probes, 1:1000; Alexa Fluor 488 goat anti-rat IgG: Molecular Probes, 1:1000; Alexa Fluor 594 rabbit anti-mouse IgG: Molecular Probes, 1:500; Alexa Fluor 594 donkey anti-mouse IgG: Molecular Probes, 1:500; Alexa Fluor 594 rabbit anti-rat IgG: Molecular Probes, 1:500) for 2 h at room temperature. The sections were analysed using a confocal laser microscope (LSM5 Pascal Ver3.2; Zeiss).
Immunohistochemical analyses
All quantifications and analyses were performed by an examiner blinded to treatment allocation. At both D2 and D7, four rats in each group were analysed by immunohistochemistry. At D21, 9 rats in the young hMSC group, 8 rats in the old hMSC group, and 10 rats in the control group were analysed by immunohistochemistry. Two regions (450 × 450 µm per region) of interest in the peri-infarct cortex per section of three sections were analysed from each rat. The number of transplanted hMSCs was measured by counting STEM 121 and TOPRO-3 double-positive cells at D2, D7, and D21. The areas of RECA-1-positive vessels and Iba-1-positive microglia were measured using WinRoof software (Mitani Corporation; Tokyo, Japan) at D21. The number of vessels covered by pericytes was measured by counting RECA-1 and PDGFR-β double-positive cells at D21. The number of Msi-1-positive neural stem cells was measured by counting Msi-1 and TOPRO-3 double-positive cells at D21.
Brain atrophy evaluation
To assess brain atrophy and infarct volume at D21, six coronal sections taken at 0.6 mm intervals between the levels of 1.6 mm rostral and 1.4 mm caudal to the bregma were stained with Cresyl violet. Ipsilateral ventricle size was calculated by multiplying the sum of the areas by the distance between sections using WinRoof software. Volumes of intact tissue in ipsilateral ischemic and contralateral normal side of the brain were also calculated by multiplying the sum of the areas by the distance between sections using WinRoof software. Infarct volume was indirectly measured by subtracting the volume of intact tissue in the ipsilateral hemisphere from that of the contralateral hemisphere.23 In this study, infarct volume was not corrected for brain swelling because brain swelling had resolved by D21.24
Trophic and chemotactic factor analysis
Rats were divided into three groups at 24 h post-stroke: young hMSC group (24-year-old MSCs 1 × 106 cells/300 μl, n = 4); old hMSC group (64-year-old MSCs 1 × 106 cells/300 μl, n = 4); and control group (PBS 300 μl, n = 4). At D7, rats were anaesthetised and euthanised. Rat brains were removed after perfusion with cold saline via the ascending aorta, and small pieces were cut from the peri-infarct cortex. Then, brains were homogenised in PBS as a 10% solution, and cytokine/chemokine levels were measured by Luminex assay and enzyme-linked immunosorbent assay (ELISA) according to the manufacturer’s protocol.
A MILLIPLEX MAP kit was used to measure the concentrations of vascular endothelial growth factor (VEGF) and monocyte chemotactic protein-1 (MCP-1). A rat BDNF ELISA Kit (Boster Biological Technology, Pleasanton, CA, USA) was used to measure the concentrations of BDNF.
Direction index analysis
As there appeared to be a relationship between the process alignment of GFAP-positive cells and Msi-1-positive neural stem cell migration, the direction of the processes of GFAP-positive cells was analysed. To obtain quantitative information about the tendency of the direction of GFAP-positive cells, image analysis was performed. This analysis consisted of two steps: simplification of the original picture and quantification of the direction of GFAP-positive cells.
Simplification of the original image
One of the images is shown as an illustrative example (Figure 1(a)). Here, colour is expressed by RGB values from 0 to 255, and these values are referred to as VR, VG, and VB, respectively. First, only red regions (cell region) using the following criteria were selected
(1) |
(2) |
(3) |
Pixels whose colour satisfied these three criteria were considered to be a red pixel, and the others were considered to be a black pixel. Black pixels were changed into white colour (Figure 1(b)). Because the image contained large signals connected with each other as well as signals that were too small, it was necessary to simplify them to obtain quantitative information about the direction of GFAP-positive cells. The next step was to divide the large signals connected with each other into small signals. Signals with a size larger than 1.0% of the total size of the image were picked up, and the narrowest position in each signal as a cutting position was determined. By changing the colour of these cutting positions to white, the large signals could be divided into small signals. This dividing process was repeated until all the signals were smaller than 1.0% of the total size of the image. Finally, the largest 100 signals were picked up, and small signals were deleted. The final image is shown in Figure 1(c), which was sufficiently simple for the quantification of GFAP-positive cell direction.
Quantification of the direction of cells
One signal from 100 signals is shown as an illustrative example (Figure 1(d)). First, a line perpendicular to the infarct core was drawn, such that the direction to the infarct core was defined (Figure 1(d)). In this example, θ was 42°. Next, a local XY-coordinate system for each signal was introduced. In this coordinate system, the origin was the centre of the mass of the signal, the X-axis was parallel to the direction to the infarct core, and the Y-axis was normal to the X-axis (Figure 1(d)). Coordinates of all the pixels in the signal were examined, and the average values of X-coordinates, , and Y-coordinates, , were obtained. Using these two average values, a value related to the direction of the signal using the following equation was obtained
(4) |
If this value was larger than 0, it was considered that the signal extended toward the X-axis. When this value was negative, the signal extended toward the Y-axis. In this example, the pixel number was 1280, was 22.11, and was 10.30 (Figure 1(e)), indicating was 1.15. This value indicated that this signal extended in the X-axis direction. Thus, the average value of over all the signals determined the tendency of the direction of the signals. The average value of was defined as the Direction index. As a result, quantitative information about the tendency of the direction of GFAP-positive cells in the image could be obtained.
Statistical analysis
Data are presented as the mean ± SD or median (interquartile range (IQR), 25–75th percentile). The Steel–Dwass test was used to evaluate significant differences between the three groups in mNSS by point. The Mann–Whitney U-test or Tukey–Kramer multiple comparison test following one-way ANOVA were used to evaluate all significant differences between two or three groups. Spearman’s rank method was used to evaluate significant correlation. Log-rank test with Kaplan–Meier curve was used to evaluate significant differences in survival rate. The text and figure legends describe the statistical tests used. Unless stated differently, all tests were two-tailed. Differences were considered statistically significant at P < 0.05.
Results
Young hMSCs secrete high levels of BDNF
Analysis of CM by Luminex assay showed that the levels of BDNF and PDGF-BB secreted differed depending on hMSC age, and were negatively correlated with age (P = 0.044, R = −0.63 and P = 0.048, R = −0.79, Spearman, Figure 2(a) and (c)). The levels of BDNF were significantly higher in young hMSCs (76.27 ± 63.20 pg/ml/104 cells) compared with old hMSCs (19.45 ± 15.86 pg/ml/104 cells; P = 0.017, Figure 2(b)). A similar trend was seen for PDGF-BB, but this was not statistically significant (young hMSCs: 40.47 ± 11.58 pg/ml/104 cells vs. old hMSCs: 25.35 ± 8.28 pg/ml/104 cells; P = 0.11, Figure 2(d)). Doubling time was not statistically different between the groups (young hMSCs: 3.97 ± 1.46 days vs. old hMSCs: 5.18 ± 1.97 days; P = 0.87, Supplemental Figure 1).
Young hMSCs provide better functional recovery and prevent atrophy
Body weight before surgery was not statistically different (P = 0.25) between the groups: 289.8 ± 10.16 g in the control group (n = 10), 281.5 ± 10.06 g in the old hMSC group (n = 8), and 283 ± 12.81 g in the young hMSC group (n = 9). Rats did not show any neurological deficits before surgery (Figure 3(a)). Intra-arterial delivery of hMSCs significantly enhanced functional recovery as assessed by the mNSS at D14, D17, and D21 (Figure 3(a)). Interestingly, young hMSCs induced an early recovery at D7, and provided a marked improvement by D21 (median 4.00 [IQR, 3.00–4.00]) compared with controls (median 6.00 [IQR, 6.00–6.25]; P = 0.0006) or old hMSCs (median 5.00 [IQR, 5.00–6.00]; P = 0.0075). Furthermore, old hMSCs provided significantly better functional recovery at D21 compared with controls (P = 0.047). Infarct volume and brain atrophy were assessed by Cresyl violet staining at D21 (Figure 3(b)). There was no statistically significant difference in infarct volume between groups: 73.97 ± 16.82 mm3 in controls, 70.39 ± 17.75 mm3 in the old hMSC group, and 69.61 ± 19.78 mm3 in the young hMSC group (P = 0.86, Supplemental Figure 2). However, ipsilateral ventricle size was significantly smaller in the young hMSC group (3.47 ± 2.24 mm3) compared with controls (8.92 ± 5.11 mm3; P = 0.046) or old hMSC group (9.29 ± 6.00 mm3; P = 0.044, Figure 3(c)). The survival rate of transplanted hMSCs in the peri-infarct cortex at D2 and D7 was not different between young and old hMSC groups, and no transplanted hMSCs were detected at D21 (Supplemental Figure 3). There was no statistically significant difference (P = 0.85, Figure 3(d)) in animal survival rate at D21: 81.6% in the young hMSC group (n = 26), 68.6% in the old hMSC group (n = 25), and 73.7% in controls (n = 19).
Donor age affects trophic and chemotactic factor secretion at D7
It is well known that PDGF-BB and BDNF are involved in atherosclerosis, wound healing, angiogenesis, inflammation, and neurogenesis.25–34 BDNF, MCP-1, and VEGF play key roles in angiogenesis, inflammation, and neurogenesis after cell transplantation, and PDGF-BB and BDNF have been reported to affect the expression of these factors.35–37 Therefore, we focused on BDNF, MCP-1, and VEGF expression. The level of BDNF was significantly lower in the control group (446.0 ± 114.3 pg/ml) than in the old hMSC (882.7 ± 89.46 pg/ml; P = 0.0004) and young hMSC groups (914.0 ± 89.53 pg/ml; P = 0.0002), but no difference was seen between the old and young hMSC groups (Figure 4(a)). However, the value of MCP-1 was significantly higher in the young hMSC group (0.56 ± 0.086 pg/ml) compared with the old hMSC group (0.33 ± 0.084 pg/ml; P = 0.005, Figure 4(b)). The levels of VEGF did not differ statistically between the young and old hMSC groups (P = 0.549, Figure 4(c)).
Donor age affects anti-inflammatory effects and vessel maturation at D21
Intravascular stem cell transplantation affects the host environment by recruiting activated microglia, angiogenesis, and blood–brain barrier (BBB) integrity in the peri-infarct area after stroke.6,38 At D21, many Iba-1-positive microglia were present in the peri-infarct cortex (Figure 5(a)). However, rats receiving hMSCs had fewer Iba-1-positive microglia. The total area of Iba-1-positive microglia in the peri-infarct cortex was significantly lower in the young hMSC group (9.30 ± 5.95%) than in the controls (22.16 ± 13.17%; P < 0.0001) or the old hMSC group (15.29 ± 14.28%; P = 0.032) (Figure 5(b)).
The area of RECA-1-positive endothelial cells in the peri-infarct cortex was significantly greater in the young hMSC group (6.92 ± 2.28%) than in the controls (5.31 ± 1.95%; P = 0.0001) or the old hMSC group (5.30% ± 1.80%; P = 0.0003) (Figure 6(a)). Interestingly, the number of RECA-1 and PDGFR-β double-positive vessels in the peri-infarct cortex was higher in the young hMSC group (113.5 ± 48.58/mm2) than in the controls (61.45 ± 35.89/mm2; P < 0.0001) or the old hMSC group (76.95 ± 36.94/mm2; P = 0.0003), suggesting that vessel maturation was enhanced by young hMSCs (Figure 6(b) to (d)).
Young hMSCs enhance endogenous neurogenesis with structural arrangement
To assess the relationship between endogenous neural stem cell/progenitor cell migration and astrocytes, the direction of astrocyte processes was examined because GFAP-positive astrocytes processes appeared to stretch toward the infarct core in the young hMSC group compared with the old hMSC group (Figure 7(a)). The relationship between direction index and the number of Msi-1-positive neural stem cells migrating close to the infarct core was analysed as well as the effect of donor age.
The number of Msi-1-positive neural stem cells migrating close to the infarct core was larger in the young hMSC group (1887 ± 1529/mm2) than in the old hMSC group (897 ± 956/mm2; P = 0.0002, Figure 7(a) and (b)). Interestingly, the direction index in this area positively correlated with the number of Msi-1-positive neural stem cells (R = 0.2683, P = 0.0019; Spearman, Figure 7(c)) and the direction index was significantly larger in the young hMSC group (0.377 ± 0.17) than in the old hMSC group (0.278 ± 0.15; P = 0.032, Figure 7(d)).
Discussion
Because the regenerative potential of the body declines with age, even stem cells of the body are prone to the adverse effects of aging.8 Here we provide evidence that (1) the levels of BDNF and PDGF-BB negatively correlate with age and potentially reduce the capacity for recovery, (2) young hMSCs provide better behavioural recovery by preventing atrophy, (3) the levels of MCP-1 are higher in the peri-infarct cortex treated with young hMSCs than with old hMSCs, (4) anti-inflammatory effects and vessel maturation are enhanced by young hMSCs, and (5) endogenous neural stem/progenitor cell migration positively correlates with astrocyte alignment, which was more pronounced after young hMSC transplantation.
Recently, the accumulation of toxic metabolites, DNA damage, epigenetic alterations, aggregation of damaged proteins, and mitochondrial dysfunctions were reported to be observed in stem cells from aged donors.39 Therefore, the numbers of circulating hematopoietic stem cells, endothelial progenitor cells, and MSC are lower in aged individuals, with a decreased proliferative capacity.40 The expression of various growth factors from MSCs might also be reduced with age.8,41 Insulin-like growth factor-1, fibroblast growth factor, VEGF, hepatocyte growth factor, BDNF, and nerve growth factor were reported to be higher in young MSCs compared with old MSCs.8,41
Interestingly, it has been reported that the exposure of an aged animal to young blood can counteract and reverse the pre-existing effects of brain aging at the molecular, structural, functional, and cognitive levels.42 Moreover, Mertens et al.43 compared transcriptomes of human fibroblast-induced neurons (iNs) and induced pluripotent stem cells (iPSCs), and found that iNs retained donor aging transcriptomic signatures, while iPSCs were rejuvenated. Taken together, these findings might affect the therapeutic efficacy of stem cell therapy for diseases including stroke, suggesting donor age is one of the critical factors for the success of stem cell treatment.
In our study, there were no differences between young and old hMSCs with regard to the survival rate of transplanted hMSCs, and there were no hMSCs at D21. A previous study reported that although a low number of transplanted hMSCs existed as endothelial cells, the majority of hMSCs had died by D21.6 However, we found significant differences in BDNF secretion between young and old hMSCs. Interestingly, the levels of BDNF and PDGF-BB secretion differ depending on hMSC age. BDNF/Tropomyosin-related kinase B signalling enhances the expression of VEGF and the migration of pericytes.25,26,28 PDGF-BB/PDGFR-β signalling regulates the regenerative potential and perivascular recruitment of MSCs.44,45 Indeed, both PDGFR-β and PDGF-BB ligand-null mice die prenatally from haemorrhage and lack pericytes throughout the entire microvascular beds.46 Moreover, PDGF is a potent inducer of MCP-1, and the PDGF family is closely related to the VEGF family.47 In this study, we clearly demonstrated that the levels of BDNF and PDGF-BB were negatively correlated with age, following lower MCP-1 levels at D7. Immunohistological analysis also showed better vessel maturation in the peri-infarct cortex of the young hMSC group at D21, possibly induced by BDNF and PDGF-BB. This vessel maturation might enhance BBB integrity. The BBB breakdown caused by less extensive pericyte coverage led to the accumulation of neurotoxins, which contributed to neuroinflammation as represented by increased numbers of activated microglia.29 Our results are consistent with previous reports showing that donor age negatively affected the immunoregulatory potential of MSCs9 and that aged bone marrow MSCs increased IL-1β, TNF-α, and IL-6.48 It was also reported that low levels of serum BDNF were observed in elderly people, and were related to large white matter hyper-intensity volume with poor visual memory.49
During central nervous system development, neurons and precursors migrate into the neocortex along the ascending processes of radial glia.50,51 Radial glia were observed in the peri-infarct area adjacent to the core, and these cells stretched their ascending processes in the direction of the infarct core after stroke.52 When neural stem cells migrate from the subventricular zone to the peri-infarct area, reactive astrocytes guide neural stem cells.53,54 Because PDGF-BB, MCP-1, and BDNF were reported to be mediators for proliferation, migration, and neurite outgrowth of neuron or neural stem cells,27,55,56 we assessed the interactions between the processes of astrocytes and neural stem cells with regard to donor age. This study is the first to report that astrocyte direction is significantly correlated with the number of neural stem cells, and that the direction index is significantly higher in those receiving young hMSCs compared with old hMSCs. Because young hMSCs secreted higher levels of BDNF in vitro and there were higher levels of MCP-1 in the young hMSC group at D7 compared with the old hMSC group, more Msi-1-positive neural stem cells in the young hMSC group migrated close to the infarct core than in the old hMSC group. Thus, multiple trophic factors might be synergistically involved in cell migration.
Cell transplantation therapy was reported to induce angiogenesis by increasing VEGF.2 In our study, matured angiogenesis was enhanced in the young hMSC group compared with the old hMSC and control groups. However, there were no differences in the levels of VEGF by analysis of brain homogenates at D7. Vessel formation was increased between D3 and D5, and decreased between D7 and D10 after ischaemic stroke.57 VEGF was reported to be secreted before vessel formation,58 and the expression of VEGF was decreased at D7 after cell transplantation following ischaemic stroke.26,59 This would affect our result concerning the value of VEGF in vivo.
Although the value of MCP-1 was similar between the old hMSC group and control group, the level of BDNF was significantly higher in the old hMSC group compared with the control group at D7, which provided functional recovery at D21. This indicates multiple trophic factors synergistically contribute to functional recovery after cell transplantation following stroke. Finally, the young hMSC group showed better functional recovery with prevention of brain atrophy, which is consistent with clinical findings.60 The diffuse action of transplanted hMSCs including secretion of multiple trophic factors throughout the brain might affect this. The assessment of brain atrophy might be a factor of functional recovery.60
This study had several limitations. First, it was not possible to obtain hMSCs from the same company, because each company had different aged hMSCs. Importantly, all hMSCs were obtained at passage 2 or 3. To unify the conditions of each hMSC, we used all hMSCs after the next passage with BDNF/PDGF-BB free medium for experiments with the same conditions. Second, the mortality rates of rats were high in our study. The cell dose and occlusion time might affect mortality. Although the dose of hMSCs (1 × 106 cells) injected through the internal carotid artery in our study was not larger compared with other reports,22,61,62 low dose transplantation might reduce the mortality rate. Additionally, limitations in our postoperative animal care might have contributed to the high mortality rate. Future studies will include rehydration therapy for rats with severe stroke. Third, the values of PDGF-BB in vivo were not analysed. Fourth, the correlation coefficient between direction index and Msi-1-positive neural stem cells was small possibly because we used two-dimensional, not three-dimensional, analysis. Finally, in our study, the upper age cut-off in the young hMSC group might be lower compared with the donor age in clinical trials. This point should be taken into consideration for clinical translation studies.
In conclusion, donor age of hMSC drastically affects functional and structural outcomes resulting in differences of anti-inflammation, mature angiogenesis, and endogenous neural stem/progenitor cell migration in stroke, possibly by decreased trophic factor secretion. Thus, donor age might be a critical factor for the success of cell transplant therapy for stroke in clinical settings. Further investigations are needed to elucidate the molecular mechanism of aging of MSCs, leading to new methods to rejuvenate damaged cells.
Supplementary Material
Acknowledgements
The authors would like to thank Yukio Kato, Department of Dental and Medical Biochemistry, Institute of Biomedical and Health Science, Hiroshima University, for providing hMSCs, Shuntaro Sato, Clinical Research Center, Nagasaki University Hospital, for helpful comments regarding the biostatistics, and Tonya Bliss and Gary K Steinberg, Department of Neurosurgery, Stanford University for helpful discussions and comments.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported in part by a grant-in-aid for Scientific Research to Dr. Yamaguchi (#26861155) and Dr. Horie (#26462165).
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Authors’ contributions
All authors read and approved the final manuscript. SY drafted and revised the manuscript, participated in the study concept and design, performed experiments, conducted statistical analyses, and analysed the data. NH participated in the study concept, and made a substantial contribution to revising the manuscript, design, and interpreting the data. KS participated in study concept and performed experiments. TI (Takeshi Ishikawa) conducted the statistical analyses, analysed and interpreted the data, and partially drafted the manuscript. TM, HM and YF participated in the study concept and performed experiments. SI, TH, YM, and TI (Tsuyoshi Izumo) participated in the study concept and interpreted the data. NN participated in the study concept, made a substantial contribution to revising the manuscript. TM participated in the study concept and design.
Supplementary material
Supplementary material for this paper can be found at the journal website: http://journals.sagepub.com/home/jcb
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