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J Neurosci. Author manuscript; available in PMC 2006 Feb 2.
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Exercise Enhances Learning and Hippocampal Neurogenesis in Aged Mice

Abstract

Aging causes changes in the hippocampus that may lead to cognitive decline in older adults. In young animals, exercise increases hippocampal neurogenesis and improves learning. We investigated whether voluntary wheel running would benefit mice that were sedentary until 19 months of age. Specifically, young and aged mice were housed with or without a running wheel and injected with bromodeoxyuridine or retrovirus to label newborn cells. After 1 month, learning was tested in the Morris water maze. Aged runners showed faster acquisition and better retention of the maze than age-matched controls. The decline in neurogenesis in aged mice was reversed to 50% of young control levels by running. Moreover, fine morphology of new neurons did not differ between young and aged runners, indicating that the initial maturation of newborn neurons was not affected by aging. Thus, voluntary exercise ameliorates some of the deleterious morphological and behavioral consequences of aging.

Keywords: exercise, neurogenesis, learning, aging, angiogenesis, spines

Introduction

Aging leads to functional changes in the hippocampus, a brain structure that is important for learning (Jarrard, 1995). The ability to learn new tasks decreases with age (Gage et al., 1984; Smith et al., 2000). On the cellular level, synaptic contacts, synaptic strength, and plasticity are reduced (Geinisman et al., 1992; Barnes, 1994). In addition, hippocampal neurogenesis (Altman and Das, 1965; Eriksson et al., 1998) is diminished with aging (Kuhn et al., 1996; Heine et al., 2004). In elderly humans, imaging studies have shown hippocampal atrophy (West, 1993; Small et al., 2002). These deleterious consequences of aging may be prevented or reversed by exercise. Indeed, older adults who exercised throughout life had less brain tissue loss than sedentary individuals (Colcombe et al., 2003). Moreover, physically fit aged individuals performed better on cognitive tests than their sedentary counterparts (Kramer et al., 1999; Yaffe et al., 2001).

The functional benefits of exercise have been well studied in young adult animals. Wheel running and treadmill training improve spatial learning in rodents (Fordyce and Farrar, 1991; van Praag et al., 1999a; Anderson et al., 2000; Vaynman et al., 2004). In addition, exercise enhances hippocampal neurogenesis (van Praag et al., 1999a,b; Fabel et al., 2003; Farmer et al., 2004), a process that may contribute to cognition (Lemaire et al., 2000; Shors et al., 2001). Moreover, synaptic plasticity (van Praag et al., 1999a; Farmer et al., 2004), neurotransmission, and growth factor gene expression (Cotman and Berchtold, 2002) are increased in the hippocampus of physically active rats and mice. Similar changes in the brain and behavior of older animals may occur with exercise.

Reduced neurogenesis in the aged hippocampus has been associated with cognitive deficits (Drapeau et al., 2003; Merrill et al., 2003; Bizon et al., 2004). In the dentate gyrus, new cells are clustered close to blood vessels (Palmer et al., 2000) and proliferate in response to vascular growth factors (Jin et al., 2002). Thus, limited angiogenesis and decreased cerebral blood flow in the aged brain may contribute to the decline in cell genesis (Black et al., 1989; Sonntag et al., 1997). In young adult animals, exercise increases endothelial cell proliferation, vascular growth factor levels (Fabel et al., 2003; Lopez-Lopez et al., 2004), and angiogenesis (Swain et al., 2003) throughout the brain. In the dentate gyrus, however, the effects of exercise on the vasculature may also be important for enhancing neurogenesis.

Here, we show that exercise improves learning and neurogenesis in aged mice. In addition, using retroviral labeling, we demonstrate that newborn neurons have a similar morphology in the young and aged hippocampus. However, angiogenesis is not increased in old runners. Overall, aging-associated deficits in learning and neurogenesis are ameliorated by voluntary exercise.

Materials and Methods

Subjects. Fifteen young (3 months of age) and 18 old (19 months of age) male C57BL/6 (Harlan Sprague Dawley, Indianapolis, IN) mice were housed individually and divided into sedentary [young control (Y), n = 8; old control (O), n = 8] or running [young runner (YR), n = 7; old runner (OR), n = 10 (8 of 10 were tested behaviorally; all 10 were used for histology)] groups. The median life span for C57BL/6 mice is ∼26 months (Rowlatt et al., 1976; Kempermann et al., 1998). Runners had unlimited access to a running wheel in their cage for 45 d. Running distance (in kilometers) was monitored electronically (Lafayette Instrument, Lafayette, IN). Animals were given a daily intraperitoneal bromodeoxyuridine (BrdU) injection (dissolved in 0.9% NaCl, 50 μg/g body weight, 10 mg/ml; Sigma, St. Louis, MO) during the first week. Learning was tested between days 35 and 39. On day 45, animals were anesthetized with ketamine/xylazine (3:1) and perfused transcardially with 4% paraformaldehyde. Brains were postfixed for 24 h and equilibrated in 30% sucrose. Sequential 40 μm coronal sections were taken and stored at −20°C.

Spatial learning. Mice were trained on the Morris water maze (Morris et al., 1982) with four trials per day over 5 d. The platform was hidden 1 cm below the surface of water made opaque with white nontoxic paint. Starting points were changed every day. Each trial lasted either until the mouse found the platform or for 40 s. Mice rested on the platform for 10 s after each trial. Four hours after the last training session on day 5, the platform was removed for a 40 s probe trial. Swim path length and speed were recorded (Ethovision; Noldus Information Technology, Wageningen, The Netherlands).

Quantity and phenotype of newly born cells. Immunohistochemistry for BrdU and immunofluorescent triple labeling for BrdU, neuronal nuclei (NeuN), and S100β were performed as described previously (Kuhn et al., 1996). The antibodies used were rat anti-BrdU ascites (1:100; Accurate; Harlan Sera-Lab, Loughborough, UK), rabbit anti-S100β (1:2500; Swant, Bellinzona, Switzerland), and mouse anti-NeuN (1:20; R. J. Mullen, University of Utah, Salt Lake City, UT). Staining for BrdU with the peroxidase method was used (Vector Laboratories, Burlingame, CA) for cell counts. The fluorescent secondary antibodies used were anti-mouse FITC, anti-rat Texas Red, and anti-rabbit cyanine 5 (6 μl/ml; Jackson ImmunoResearch, West Grove, PA).

BrdU-positive cells were counted in a one-in-six series of sections as described previously (van Praag et al., 1999a). For phenotype analysis, 30 BrdU-positive cells per animal (except for aged sedentary mice, in which a minimum of 10 cells was used) were analyzed for the coexpression of BrdU and NeuN (neurons) and S100β (astrocytes). Ratios of colabeling were determined.

Fine morphology of new neurons. Mice were injected with green fluorescent protein (GFP)-expressing retrovirus and perfused 4 weeks later as described previously (van Praag et al., 2002). The pCAG-GFP retrovirus containing plasmid with enhanced GFP and replication-deficient Moloney murine leukemia virus retrovirus (Chunmei Zhao, The Salk Institute, La Jolla, CA) was used. Immunocytochemistry for GFP was performed using rabbit anti-GFP (Chemicon, Temecula, CA) as a primary antibody and donkey anti-rabbit Alexa 488 (Molecular Probes, Eugene, OR) as a secondary antibody followed by 4′6′-diamidino-2-phenylindole (DAPI) in 40 μm tissue sections. To assess dendritic length and branching, cells were imaged through a 40× objective, and Z-series of 1 μm optical sections were merged for measurements. For the spine density cozunts, dendrites were imaged through a 40× objective with a digital zoom of 3, and Z-series of 0.5 μm optical sections were merged for quantification.

Quantitation and analysis of blood vessels. Lectin staining (Lycopersicon esculentum; 1:200; Vector Laboratories) followed by streptavidin cyanine 3 was used. The optical fractionator method (Stereo Investigator; MicroBrightField, Williston, VT) was used to estimate blood vessel number. The counting frame was 100 × 100 μm, and the grid overlay was 200 × 200 μm. Analysis was done on six equidistant sections (240 μm apart).

Vessel cross-sectional surface area and perimeter were measured using Neuroleucida (MicroBrightField). Two vessels for two coronal midbrain sections were analyzed per animal. Vessels originated within the medial boundaries of the dentate and were a minimum length of 300 μm.

Statistical analysis. A two-way ANOVA (age × exercise) with Fisher's PLSD for post hoc tests was used (GraphPad Prism 4; SAS version 8.02; SAS Institute, Cary, NC).

Results

Running distance

There was a nonsignificant trend in the old mice to run less (4.9 ± 0.2 km/d and 3.9 ± 0.1 km/d for young and old mice, respectively; F(1,15) = 3.65; p > 0.07).

Spatial learning

Mice were tested in the water maze between days 35 and 39. There was a significant interaction between exercise and age for latency (F(1,27) = 4.89; p < 0.035) (Fig. 1a) and swim path length (F(1,27) = 8.62; p < 0.007) (Fig. 1b), but not swim speed (F(1,27) = 0.08; p > 0.77) (Fig. 1c), suggesting that exercise had a differential effect on acquisition of the water maze task in young versus aged mice. Post hoc comparisons showed that O mice had the longest latency and swim path to the platform (p < 0.01), indicating they did not learn the task as well as the others. With regard to swim speed, it should be noted that there was a main effect of age (F(1,27) = 8.16; p < 0.008) (Fig. 1c). Post hoc comparisons for each day of testing indicated that the O mice swam more slowly than all of the other groups only on day 5 of training (p < 0.03). Floating was observed in O mice (three of eight).

Figure 1
Water maze learning in young and aged mice housed with or without running wheel access. Aged controls (O) had significantly longer latency (a) and swim path (b) to the platform than all other groups (p < 0.01). Swim speed (c) was slower in old ...

On day 5, the platform was removed for a 40 s probe test 4 h after the last trial to test recall. Analysis of time spent in the target zone revealed significant main effects for exercise (F(1,27) = 8.9; p < 0.006) and age (F(1,27) = 7.1; p < 0.01). YR mice spent more time in the platform quadrant than other groups (p < 0.02) (Fig. 1d). However, both YR mice (F(3,24) = 18.6; p < 0.0001) and OR mice (F(3,24) = 4.2; p < 0.017) showed a significant bias for the target zone, whereas Y mice (F(3,24) = 1.6; p > 0.22) and O mice (F(3,24) = 2.7; p > 0.07) did not (Fig. 1e-h).

Cell counts

BrdU-positive cells in the dentate gyrus were counted. A main effect of age confirmed that cell genesis declined with aging (F(1,29) = 51.9; p < 0.0005) (Kuhn et al., 1996). O mice had fewer new cells than Y mice (p < 0.03). Wheel running increased the number of BrdU-labeled cells in both age groups (F(1,29) = 56.12; p < 0.0001). Indeed, YR and OR mice had more new cells than age-matched sedentary controls (p < 0.0001 and p < 0.01, respectively). Furthermore, the effect of running on cell number was more pronounced in young mice than in aged mice, as indicated by a significant interaction between exercise and age (F(1,29) = 15.6; p < 0.0005). Specific comparisons showed that YR mice had more new cells than the other groups (p < 0.0001). Remarkably, OR mice did not differ from Y mice in new cell number, suggesting that exercise restores cell genesis in aging (Table 1).

Table 1
Number and phenotype of BrdU-positive cells

Phenotype analysis

Cells were analyzed for coexpression of BrdU and NeuN for neuronal phenotype and S100β for glial phenotype. Significant main effects of exercise (F(1,29) = 30.4; p < 0.0001) and age (F(1,29) = 116.5; p < 0.0001) indicated that running enhanced neurogenesis in both young and aged groups. Young runners had the most neurogenesis (∼81.3%), as evidenced by a significant interaction between age and exercise (F(1,29) = 5.3; p < 0.05) and post hoc comparisons (p < 0.001). In the O group, very few BrdU-positive cells became neurons (∼9.5%). There was significantly more neurogenesis in the OR mice (∼25.6%) than in the O mice (p < 0.01). However, the increase in percentage of BrdU/NeuN-positive cells in OR mice was still less than that in Y mice (∼49.9%; p < 0.04). The groups also differed with regard to the astrocytic fate of the newborn cells. The greatest percentage of gliogenesis was observed in the aged mice (∼20%) compared with young mice (<8%). Analysis showed a main effect of age (F(1,29) = 19.2; p < 0.0001) but not of exercise or an interaction (p > 0.05). Overall, the young groups had relatively less gliogenesis than the aged mice (p < 0.02) (Fig. 2a-d; Table 1).

Figure 2
Neurogenesis in the young and aged dentate gyrus. Confocal images of immunofluorescent triple-labeled sections for BrdU (red), NeuN (green), and S100β (blue) [BrdU-labeled neurons are orange (red plus green)] in young controls (a), old controls ...

Fine morphology

To determine whether aging affects dendritic length, dendritic branching, and spine density in new cells, a retrovirus-expressing GFP selective for dividing cells was used. No GFP+ neurons were found in aged controls, most likely because retroviral labeling is efficient than BrdU (Y, 314 ± 46 GFP+ cells; YR, 550 ± 90 GFP+ cells; OR, 15 ± 7 GFP+ cells). Dendritic length (Y, 532.5 ± 87 μm; YR, 572.1 ± 73 μm; OR, 600 ± 37 μm) and number of branch points (Y, 5.9 ± 0.85; YR, 6.6 ± 0.82; OR, 6.3 ± 0.53) did not differ between cells from young and aged animals (n = 8 cells per group). Spines were counted in a total dendritic length of 483.8 μm in cells from young mice (n = 4) and 631.3 μm in cells from aged mice (n = 5). Spine density did not differ between the groups (YR, 1.61 ± 0.06 spines/μm; OR, 1.77 ± 0.13 spines; p > 0.29). Thus, new neurons in aged animals appear to be similar to those produced in young mice (Fig. 2e-h).

Blood vessels in the dentate gyrus

To investigate whether exercise enhances angiogenesis, dentate gyrus blood vessels were counted. There was no difference in vessel number between the groups [Y, 227 (±9); YR, 235 (±9); O, 229 (±10); OR, 257 (±10); p > 0.14]. However, analysis of individual vessels revealed qualitative changes in surface area and perimeter. Specifically, wheel running increased both parameters in young mice, as evidenced by a significant main effect for exercise (surface area, F(1,29) = 4.45, p < 0.043; perimeter, F(1,29) = 4.58, p < 0.04), a significant interaction between age and exercise for vessel surface area (F(1,29) = 4.18; p < 0.05), and an almost significant interaction for perimeter (F(1,29) = 4.05; p < 0.054). Indeed, specific comparisons showed that the vessel surface in YR mice was increased compared with all other groups (p < 0.05). Blood vessel perimeter was greater in YR mice than in Y mice (p < 0.04) but not in O or OR mice (p > 0.21). Thus, exercise may improve dentate gyrus perfusion in young runners (Fig. 3).

Figure 3
Blood vessel size in the dentate gyrus of young and aged mice housed with or without a running wheel. a, The perimeter of the vessels is larger in YR mice compared with age-matched controls (Y; p < 0.04) but did not differ from the aged controls ...

Discussion

The present study was designed to determine whether cognition, neurogenesis, and angiogenesis in aged mice could be increased by exercise. We found that both learning and hippocampal neurogenesis were enhanced in aged running mice. There was no detectable decline in blood vessel surface area or perimeter in the aged groups. These parameters were only increased in the young runners. Interestingly, although the aged mice only started running at 19 months of age, the average running distance did not differ significantly from that of 3-month-old runners. However, our equipment could not measure whether the old mice ran more slowly or spent more time in the wheel than the young mice.

Exercise enhanced acquisition of the hidden platform task in the water maze in old mice compared with age-matched sedentary controls. This finding is consistent with research by some investigators who found that passive-avoidance learning is improved in physically active aged mice (Samorajski et al., 1985). However, others have reported that there was no effect of exercise on spatial learning in aged rats (Barnes et al., 1991). In the latter study, forced treadmill training was used rather than voluntary wheel running. In addition, mice were tested on the circular platform maze instead of the more physically demanding water maze (Barnes et al., 1991). However, enhanced fitness in runners is probably not the main reason for improved learning. Performance on the probe trial, which is more indicative of recall ability than fitness of the subject, was better in both young and old runners than in sedentary controls. It should be noted, however, that the aged mice had been sedentary until they were 19 months of age. It is possible that earlier onset of running would have maintained cognitive function to an even greater extent.

Previous studies have suggested that cognitive decline in aging may be attributable to decreased dentate gyrus neurogenesis (Kempermann et al., 1998; Drapeau et al., 2003; Merrill et al., 2003; Bizon et al., 2004). Several researchers have shown that cell genesis can be restored in the aged brain. Administration of insulin-derived growth factor-1 (IGF-1) (Lichtenwalner et al., 2001) and epidermal and fibroblast growth factor (Jin et al., 2003), reduction of corticosterone levels by adrenalectomy (Cameron and McKay, 1999), and environmental enrichment (Kempermann et al., 1998, 2002) increase new cell numbers in aged animals. However, learning was only tested and found to be improved in the enrichment studies (Kempermann et al., 1998, 2002). Exercise in young and aged animals enhances cell proliferation (van Praag et al., 1999a; Kim et al., 2004). In aged runners, cell survival returned to the level of young controls. However, the functional contribution may depend on the percentage of cells that become neurons.

Consistent with previous work, we found that relatively more cells became neurons in runners compared with age-matched controls (van Praag et al., 1999a,b). The greatest percentage of new neurons was found in the young runners (∼81.3%). In addition, although the total number of BrdU+ cells was similar in young controls and aged runners, there was more neurogenesis in young sedentary mice (49.9%) than in active aged mice (25.6%). Interestingly, the probe trial indicated that old runners may learn better than young controls. Thus, there appears to be no simple relationship between the number of new neurons and learning. For example, changes in the physiological properties of new cells may occur with exercise. Furthermore, other factors associated with running, such as increased neurotrophin and neurotransmitter levels, may contribute to improved learning (Cotman and Berchtold, 2002), although it is not known whether these changes occur in aged runners. The percentage of cells that become neurons in aged sedentary mice (9.5%) was consistent with previous work (Kempermann et al., 1998; Heine et al., 2004), although some researchers report up to 50% BrdU/NeuN cells in aged animals (Drapeau et al., 2003; Bizon et al., 2004). The increase in neurogenesis observed with exercise is comparable with enrichment data in aged mice (Kempermann et al., 1998). Neither exercise nor enrichment affected the percentage of cells that became glia in either age group.

To investigate how the aged hippocampal environment influences new neurons, mice were injected with a retrovirus selective for dividing cells (van Praag et al., 2002). Four weeks after injection, dendritic length, dendritic branching, and spine density of the new cells in the aged brain were similar to those in the young brain, suggesting that the function of the new cells in the aged brain was intact. However, more detailed physiological studies and a time course of the further development of these cells are needed to draw a more definite conclusion. Full maturation of new neurons takes several more weeks (van Praag et al., 2002) and may be delayed in the aged brain (Rao et al., 2005). In addition, new cells in the old brain may lose functional synapses much faster than in the young brain as a result of diminished trophic support (Sonntag et al., 1997). Furthermore, because of the limitations of the retroviral labeling technique, spine number was compared only between young and aged runners and was found not to differ between the groups. We do not know whether spine quantity increases as a function of running in aged animals. In young mice, however, spine density does not differ between controls and runners (C. Zhao, E. M. Teng, R. G. Summers, and F. H. Gage, personal communication).

In the present study, we found no decline in dentate gyrus blood vessel size or number with aging. Exercise did enhance the perimeter and surface area of blood vessels in young but not in aged mice. The findings for the young mice are consistent with other studies. For example, activity matched to a motor skill-learning task enhanced capillary density in the cerebellum (Black et al., 1990). More recently, voluntary wheel running has been found to increase angiogenesis in the motor cortex, cerebellum, and hippocampus (Swain et al., 2003; Lopez-Lopez et al., 2004). The lack of vascular plasticity with exercise in the older animals may be a result of reduced IGF-1 (Sonntag et al., 1997) and vascular endothelial growth factor levels (Shetty et al., 2005). In addition, decreased mitochondria content in capillary endothelial cells has been reported previously (Burns et al., 1981). However, lack of exercise-induced angiogenesis is not a rate-limiting factor for neurogenesis, given the significant increase in new neurons in aged runners.

In summary, exercise restores spatial learning and neurogenesis in aged mice. Interestingly, the properties of new neurons do not appear to change with aging, suggesting that the local hippocampal environment of the aged dentate gyrus can sustain neurogenesis.

Footnotes

This work was supported by grants from the Pritzker Neurogenesis Research Consortium, the Defense Advanced Research Projects Agency, the National Institutes of Health–National Institute on Aging (5 R01 AG020938), and the Lookout Fund. We thank Eve Taylor for the aged mice; Jae Ik Lee, Matthew Enhung Teng, Melanie J. Lucero, Steve Forbes, and Bobbi Miller for technical assistance; Jamie Simon, Linda R. Kitabayashi, and Robert G. Summers for help with figure preparation; and Mary Lynn Gage for comments on this manuscript. We also thank A. Smith, K. Suter, and their colleagues from the Animal Research Department at The Salk Institute for their support of these experiments.

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