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Hippocampus. Author manuscript; available in PMC Jun 10, 2009.
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PMCID: PMC2694409
NIHMSID: NIHMS72749

Diet-induced insulin resistance impairs hippocampal synaptic plasticity and cognition in middle-aged rats

Abstract

Overall dietary energy intake, particularly the consumption of simple sugars such as fructose, has been increasing steadily in Western societies, but the effects of such diets on the brain are poorly understood. Here we used functional and structural assays to characterize the effects of excessive caloric intake on the hippocampus, a brain region important for learning and memory. Rats fed a high-fat, high-glucose diet supplemented with high-fructose corn syrup showed alterations in energy and lipid metabolism similar to clinical diabetes, with elevated fasting glucose and increased cholesterol and triglycerides. Rats maintained on this diet for eight months exhibited impaired spatial learning ability, reduced hippocampal dendritic spine density, and reduced LTP at Schaffer collateral – CA1 synapses. These changes occurred concurrently with reductions in levels of brain-derived neurotrophic factor in the hippocampus. We conclude that a high energy diet reduces hippocampal synaptic plasticity and impairs cognitive function, possibly through BDNF-mediated effects on dendritic spines.

Keywords: fructose, hippocampus, long-term potentiation, obesity, diabetes, BDNF, high-fat diet

Dietary energy intake has increased steadily in Western societies during the past 50 years resulting in increased obesity, diabetes and cardiovascular disease (Everitt et al., 2006). Simple sugars and saturated fats are believed to be major components of the Western diet that promote obesity and insulin resistance (Gross et al., 2004). Data from clinical, epidemiological and animal studies have suggested that excessive energy intake adversely affects the brain, particularly during aging. Studies suggest that individuals with a high energy intake are at increased risk of Alzheimer’s disease (Luschsinger et al., 2002). Animal studies have shown that high-calorie diets impair the structure and function of the hippocampus, a brain region critical for learning and memory (Farr et al., 2008; Greenwood and Winocur, 1990; Kanoski et al., 2007; Molteni et al., 2002; Winocur and Greenwood, 1999; Wu et al., 2004). The adverse effects of high calorie diets on learning and memory have been associated with impaired hippocampal synaptic plasticity and neurogenesis (Farr et al., 2008; Lindqvist et al., 2006), suggesting that the hippocampus may be particularly sensitive to changes in dietary energy intake.

In the present study we fed rats a diet high in saturated fats and simple sugars, and supplemented their water with high-fructose corn syrup. This diet increased fasting blood glucose levels and serum cholesterol and triglycerides. Additionally, we found that the diet impairs hippocampus-dependent learning, synaptic plasticity, and dendritic spine density. These adverse effects on brain function were associated with reduced levels of BDNF in the hippocampus and suggest that “Western” diets impair synaptic function and cognition by a mechanism involving reductions in BDNF and atrophy of dendritic spines. Detailed description of the methods and procedures used in these experiments are available as Supplementary Information.

Rats fed a high-fat, high-glucose food supplemented with 20% high-fructose corn syrup in the drinking water (HCD, high calorie diet) gained weight more rapidly than rats eating standard NIH chow and drinking plain water (Supplementary Fig. 1). Rats on the HCD had higher levels of serum cholesterol (cholesterol, t17=2.36, p=0.03; mg/dL, control=103.9 ± 8.62, HCD=164.3 ± 22.9). Changes were primarily due to increases in low-density lipoprotein levels (low-density lipoprotein, t12=2.75; p=0.02; mg/dL, control=59.99 ± 8.03, HCD= 88.31 ± 18.55; high-density lipoprotein, t13=1.41, p=0.18; mg/dL, control=40.88 ± 3.02, HCD=65.30 ± 8.35). Rats on the HCD had elevated fasting blood glucose levels (t10=2.92, p=0.02; mg/dL, control=121.8 ± 5.5, HCD=174.6 ± 7.8). There were no differences in serum insulin levels (t11=0.21, p=0.84; ng/ml, control=0.92 ± 0.29, HCD=0.86 ± 0.08). However, analysis of the relationship between glucose and insulin levels using a homeostatic model assessment (HOMA; Wallace et al., 2004) indicated that rats maintained on the HCD diet were insulin resistant (insulin sensitivity, t9=4.94, p=0.0008, control = 80.50 ± 11.95, HCD = 32.89 ± 3.14; β-cell function, t9=2.96, p=0.021, control = 79.57 ± 16.13, HCD = 32.82 ± 6.08).

Levels of corticosterone have also been shown to increase with high-fat feeding (Lindqvist et al., 2006). However, we did not observe any changes in circulating corticosterone in our animals (t17=0.51, p=0.62; ng/ml, control=129.0 ± 20.59, HCD=116.5 ± 14.91). Overall, the alterations in serum chemistry following long-term ingestion of the HCD are suggestive of insulin resistant diabetes and hyperlipidemia.

Rats on the HCD reduced the amount of food that they consumed each day (grams per day, control=29.81 ± 0.80, HCD=23.89 ± 0.76; t88=5.28, p<0.0001). When food weights are converted to caloric intake, the calories per day derived from food were nearly identical for rats on the HCD, and rats fed the standard NIH pellets (calories per day, control=123.10 ± 3.31, HCD=118.0 ± 3.77; t88=0.98, p=0.32). However, the rats did not derive their calories exclusively from food; rats on the HCD also received 20% high-fructose corn syrup via the drinking water. Rats drinking 20% high-fructose corn syrup drank more fluid per day than rats drinking plain water (ml/24hr, control=42.63 ± 1.22, HCD=66.94 ± 5.86; t27=3.43, p=0.002). When volumes were converted to additional calories per day derived from the 20% high-fructose corn syrup solution, rats on the HCD consumed more calories each day than rats eating standard chow with plain water (calories per day derived from chow and drinking; control=123.10 ± 3.31, HCD=200.50 ± 7.86; t27=5.92, p<0.0001).

Following eight months on the HCD, rats performed poorly in the water maze compared to rats on the control diet. Rats maintained on the HCD took more time to locate the hidden platform, and also took a longer route to the platform (latency; F1,60=6.88, p=0.02; path length, F1,60=5.57, p=0.03; Fig. 1). These changes occurred in the absence of any changes in swim speed, the amount of time floating, or thigmotaxis (data not shown). There were no differences in performance on the visible-platform version of the water maze, which is not hippocampus dependent (latency to reach the visible platform, mean of 4 trials; control=12.15±2.12 sec, HCD=9.76±2.01 sec; t15=0.81, p=0.43). These results suggest that excessive energy intake impairs hippocampus-dependent memory.

Figure 1
A high calorie diet impairs hippocampus-dependent learning and synaptic plasticity, with correlated decreases in CA1 dendritic spine density

We measured LTP at Schaffer collateral synapses in hippocampal area CA1. Rats maintained on a standard diet exhibited robust LTP. In contrast, animals fed the HCD showed reduced LTP (F1,8=5.13, p=0.03). LTP deficits occurred without any changes in the input-output curve (fEPSP slope/fiber volley amplitude, control=1.03 ± 0.02, HCD=1.01 ± 0.01; t11=0.76, p=0.46). Moreover, there was no difference in the ability to elicit stable responses over a period of one hour in slices from rats on different diets, suggesting that overall slice health was not affected. These results are in support of our behavioral findings, and indicate that long-term caloric excess impairs hippocampal synaptic plasticity.

To test whether changes in dendritic spines might be occurring in the area where we observed impaired synaptic plasticity, we analyzed spine density and dendritic morphology on Golgi-impregnated neurons in hippocampal area CA1. We observed reduced dendritic spine density on secondary and tertiary dendrites in the apical dendritic arbor of rats on the HCD (t9=5.26, p=0.0005; Fig. 1Fig. 2). We also analyzed dendritic spine density on the basal dendrites, and observed similar reductions in the density of spines (t9=2.35; p=0.04). Neither the basal nor the apical dendritic arbor showed any effect on the overall length of the dendritic tree (basal, t9=1.14, p=0.28; apical, t9=0.18, p=0.86). Dendritic complexity was also similar in the two diet groups (apical, t9=0.95, p=0.36; basal, t9=1.49, p=0.17). These morphological findings suggest that changes in spine density are associated with functional deficits in CA1 LTP and hippocampus-dependent learning.

Figure 2
Excessive calorie intake reduces dendritic spine density and synaptic marker immunofluorescence, and increases the number of pyknotic nuclei in the CA1 region of the hippocampus

In order to further evaluate our observation of reduced dendritic spine density, we performed immunoblot analyses for the synaptic marker, synaptophysin. Band intensity for synaptophysin was reduced in whole-hippocampal homogenates from rats maintained on the HCD (t9=3.21, p=0.012; control=173.40 ± 25.75, HCD= 94.11 ± 7.69; Supplementary Fig. 2). To quantify synaptic marker expression in the specific anatomical region where we measured LTP and dendritic spine density, we performed immunofluorescence labeling for synaptophysin. The optical intensity of synaptophysin staining was reduced in both the CA1 stratum radiatum (optical intensity index, control=1.79×107 ± 4.05×106, HCD=1.06×107 ± 9.33×105; t9=1.92, p=0.04; Fig. 2), and in the CA1 stratum oriens (optical intensity index, control=1.45×107 ± 1.78×106, HCD=9.14×106 ± 6.61×105; t9=3.05, p=0.01).

Next, we measured levels of BDNF, a neurotrophic factor that is known to be regulated by dietary energy excess (Kanoski et al., 2007; Molteni et al., 2002; Wu et al., 2004). Rats on the HCD had reduced concentrations of BDNF in whole-hippocampal homogenates (pg/µg protein; control=9.41 ± 0.78, HCD=6.34 ± 0.76; t16=2.79, p=0.01). This suggests that synaptic loss was associated with reductions in hippocampal BDNF. Loss of synapses was probably not attributable to an overall loss of neurons in the hippocampus, because band intensity for the neuronal marker NeuN was not different across groups (t9=1.28, p=0.23; control=341.7 ± 84.92, HCD=585.1 ± 157.5; Supplementary Fig. 2). There was also no change in the volume of the CA1 cell body layer (mm3, control=0.87 ± 0.04, HCD=0.79 ± 0.07; t10=1.11, p=0.28). However, there was a nearly two-fold increase in the number of pyknotic nuclei in CA1 (t10=2.32, p=0.04; control = 236.0 ± 22.70, HCD= 420.0 ± 76.08; Fig. 2), suggesting that neurons in middle-aged rats on the HCD experience increased nuclear damage.

We observed impaired learning and LTP, as well as reduced dendritic spine density in response to excessive caloric intake. Impairment of dendritic spine density and synaptic plasticity was accompanied by reductions in hippocampal BDNF levels. Excessive caloric intake also increased fasting blood glucose levels and elevated serum lipids. Because alterations in hippocampal plasticity occurred in the context of a serum profile resembling diabetes, we conclude that the endocrine perturbations induced by excessive caloric intake may be detrimental for hippocampal structure and function.

Diets high in refined sugars and saturated fats increase the risk of type 2 diabetes (Everitt et al., 2006), and individuals with poorly controlled diabetes frequently exhibit impaired cognitive function (Gold et al., 2007). We recently demonstrated that some aspects of diabetes-induced hippocampal dysfunction are mediated by adrenal corticosteroids (Stranahan et al., 2008). However, rats in the present study did not exhibit elevated corticosterone levels, suggesting a different mechanism for the adverse effects of the HCD on hippocampal structure and function. The HCD did increase fasting plasma glucose concentrations, which may adversely affect neuronal function by promoting glucotoxicity (Tomlinson and Gardiner, 2008).

Deficits in hippocampal function may arise from peripheral insulin resistance and hyperlipidemia induced by a high-calorie diet. However, an alternative hypothesis would suggest that differences in the balance of proteins, carbohydrates, and fats between the two diets might have a direct effect on hippocampal plasticity, independently of peripheral metabolic alterations. In support of this idea, direct injection of triglycerides into the brain has detrimental consequences for learning and memory (Farr et al., 2008), while focal application of glucose enhances cognition (Dash et al., 2007). The extent to which different dietary components exert direct effects on central neuroplasticity remains to be determined.

Insulin resistance and obesity are associated with fluctuations in a number of different energy-regulating signaling peptides. For example, leptin enhances hippocampal synaptic plasticity and improves performance of rodents in learning and memory tasks (Harvey, 2007). As diabetes is associated with leptin resistance (Myers et al., 2008), it is possible that impaired leptin signaling contributes to the diet-induced deficits in hippocampal plasticity in the present study. Another such peptide, ghrelin, has previously been shown to promote spinogenesis and learning in the hippocampus (Diano et al., 2006). Levels of ghrelin are reduced in obesity (Tschop et al., 2001), opening the possibility that changes in neuronal structure and learning in our model may be mediated by reductions in ghrelin production. It is also possible to speculate that there may be some relationship between the actions of ghrelin and BDNF in the hippocampus.

Increases in the prevalence of obesity and diabetes are directly attributable to excessive caloric intake (Gross et al., 2004). The current findings suggest that elevated fasting glucose levels and hyperlipidemia are associated with neurological deficits. Although additional studies will be necessary to parse the relative contributions of diet-induced alterations in lipid and glucose metabolism to central neuroplasticity, it is clear that excessive caloric intake activates mechanisms that are likely to be detrimental for neuronal function.

Supplementary Material

01

Acknowledgements

This research was supported by the Intramural Research Program of the National Institute on Aging. We wish to thank Tamikia Lamb, Charlie Mae Lamb, Olga Carlson, and Charles Gordon for technical assistance.

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