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(Journal of Nutrition. 1999;129:1079-1089.)
© 1999 The American Society for Nutritional Sciences


Articles

Water Maze Performance Is Unaffected in Artificially Reared Rats Fed Diets Supplemented with Arachidonic Acid and Docosahexaenoic Acid1 ,2

P. E. Wainwright3, H.-C. Xing, G. R. Ward, Y.-S. Huang*, E. Bobik*, N. Auestad* and M. Montalto*

Department of Health Studies and Gerontology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada and * Ross Laboratories, Columbus, OH 43215–1724

3To whom correspondence should be addressed.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Four groups of male Long-Evans rats were reared artificially from postnatal d 5 to 18 by being fed through a gastrostomy tube with rat milk substitutes containing oils providing 10% linoleic acid and 1% {alpha}-linolenic acid (g/100 g fat); with the use of a 2 x 2 design, they were fed one of two levels of arachidonic acid (AA) and docosahexaenoic acid (DHA) (0.0 and 2.5 g/100 g of fatty acids). A fifth artificially reared group was fed a diet high in saturated fat, and a sixth group was reared by dams fed a standard AIN-93M diet. The pups were weaned onto modified AIN-93G diets, with a fat composition similar to that fed during the artificial rearing period. Behavioral testing was conducted between 6 and 9 wk of age; brain lipid composition was then assessed. Relative to the unsupplemented group (0.0 g/100 g AA and DHA), dietary supplementation resulted in a wide range of AA (84–103%) and particularly DHA (86–119%) levels in forebrain membrane phospholipids. AA supplementation increased AA levels and decreased DHA levels, and DHA supplementation increased DHA levels and decreased AA levels, with the magnitude of these effects dependent on the level of the other fatty acid. DHA levels were very low in the saturated fat group. The groups did not differ on the place or cued version of the Morris water-maze, but on a test of working memory, the saturated fat group was impaired relative to the suckled control group. Further correlational analyses in the artificially reared animals did not support a relationship between the wide range of DHA and AA levels in the forebrain and working-memory performance.


KEY WORDS: • rat • brain development • water-maze learning • arachidonic acid • docosahexaenoic acid


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Linoleic acid [LA,4 18:2(n-6)] and {alpha}-linolenic acid [LNA, 18:3 (n-3)] are essential dietary fatty acids (EFA) because they cannot be synthesized de novo by animals and must therefore be provided in the diet. These 18-carbon compounds are then converted to longer-chain polyunsaturated fatty acids (LCPUFA) through a series of desaturation and elongation reactions (Cook 1991Citation ). The LCPUFA that predominate in the brain are arachidonic acid [AA, 20:4(n-6)] and docosahexaenoic acid [DHA, 22:6(n-3)] (Sastry 1985Citation ). In addition to serving a structural role as components of membrane phospholipids, the 20-carbon compounds also make an important contribution to regulatory function by serving as precursors of the eicosanoids, which include the prostaglandins and leukotrienes; AA has itself been implicated as a putative second messenger in neural signaling pathways (reviewed in Wainwright 1997Citation ).

The importance of the availability of (n-6) fatty acids (FA) for growth has been clearly established (reviewed in Innis 1991Citation ). Elucidation of the physiologic role for the (n-3) FA, on the other hand, has been based largely on functional outcomes, including behavioral effects (Reisbick and Neuringer 1997Citation , Wainwright 1997Citation ). Levels of DHA are high in the testes, retina and gray matter of the brain compared with levels in most other tissues. Dietary restriction of (n-3) FA (i.e., LNA, DHA and metabolic intermediates) typically leads to a decrease in membrane levels of DHA, with a reciprocal increase in 22:5(n-6) (e.g., Galli et al. 1971Citation , Mohrhauer and Holman 1963Citation , Tinoco et al. 1978Citation ). Supplementation of preterm infant formulas with marine oil has been associated with indications of reduced growth that was more pronounced if the supplemented oils contained high levels of eicosapentaenoic acid [EPA, 20:5(n-3)] as well as DHA (Carlson et al. 1992, 1993b and 1996Citation Citation Citation ). In this case, the supplemented groups also showed lower blood levels of AA, suggesting that the reduced growth may have resulted from reduced availability of AA due to competitive inhibition by EPA (Carlson et al. 1993bCitation ). This emphasizes the importance of taking the metabolic interactions between the (n-3) and (n-6) FA into account in dietary formulations.

Numerous animal studies have addressed the effects of dietary (n-3) FA deficiency on retinal and behavioral function. These studies include work on rhesus monkeys (reviewed by Connor et al. 1992Citation ), as well as a large number of studies that have been conducted in rodents, particularly rats and mice. Although this work provides considerable evidence for the importance of adequate levels of DHA in normal retinal function, a corresponding role for DHA in brain with respect to cognitive capacity remains to be firmly established. Some, but not all of these studies show alterations in performance in learning tasks in animals fed (n-3) FA–restricted diets, but in many cases, because of methodological limitations, these findings are difficult to interpret (reviewed in Reisbick and Neuringer 1997Citation , Wainwright 1992Citation and 1997Citation , Wainwright and Ward 1997Citation ). Although these studies encompass various tests of so-called "learning ability," very often the study designs do not separate what might be considered truly cognitive differences from related effects on task performance, such as those on the animals' sensory or motor capacities, for example, or on their motivation to perform the task. It is also important to realize that questions about a putative role for specific nutrients in cognitive function cannot be answered by considering the findings on any one cognitive task, but rather by consideration of the pattern of results obtained over a series of different behavioral tests (discussed in Wainwright 1997Citation ).

In our previous work with mice, we addressed the question whether manipulations of dietary FA supply affect species-typical learning, i.e., social learning of a food preference, as well as instrumental learning, i.e., spatial water escape learning in the Morris water-maze (e.g., Wainwright et al. 1994a, 1994b and 1997Citation Citation Citation ). In none of these studies did we show effects of (n-3) FA deficiency on learning ability per se, although there were some indications of performance effects. It may be, however, that acquisition and reversal of place-learning in the Morris maze, in which the animal is required to learn the fixed location of a hidden platform relative to extra-maze cues, constitiute too easy a task to show subtle differences in function. Strupp and Levitsky (1995)Citation have suggested that rather than simple tests of learning, tests of executive function may be better indicators of early nutritional insult. One such function is the so-called "working memory"; the animal is presented with a series of problems, and in order to solve each problem, it is required to remember details that are specific to that problem only, and to then start afresh on the next problem. This type of memory is distinguished from "reference memory," which is memory of the general procedural requirements of the task that remain constant across testing. Thus we recently conducted a study in rats to ascertain whether there were effects of two generations of dietary (n-3) FA restriction on an adaptation of the Morris water-maze that specifically measured working memory. In this study, we used rats rather than mice because of evidence that rats are more proficient at this task than mice (Whishaw 1995Citation ). The two groups did not differ in learning the position of the hidden platform in the Morris water-maze, but the (n-3)–deficient rats showed deficits in performance on the working-memory task (Wainwright et al. 1998Citation ).

Not only has dietary restriction of (n-3) FA (diets devoid or very low in LNA) been associated with effects on behavior, but there is also evidence that diets containing very high levels of long-chain (n-3) FA and extremes in the (n-6)/(n-3) ratio can also affect development. One example is work showing that newborn guinea pigs that were fed diets containing large amounts of fish oil, which had high levels of (n-3) FA as EPA and DHA [(n-6)/(n-3) ratio 2.54] and which in turn resulted in high levels of DHA in the retina, had electroretinograms that resembled those of animals fed (n-3) FA–restricted diets (Weisinger et al. 1996Citation ). Another recent study that used a maternal supplementation model in rats reported that the offspring of dams fed a diet containing fish oil [(n-6)/(n-3) {approx} 0.125)] showed delayed appearance of the auditory startle response and longer brainstem auditory conduction times (Saste et al. 1998Citation ). Furthermore, we have shown that mice fed diets containing very high levels of DHA with low levels of (n-6) FA [(n-6)/(n-3) {approx} 0.3] during development showed impaired growth and delayed sensorimotor development (Wainwright et al. 1996Citation ) and swam more slowly in a water-maze unless some of the (n-6) FA were provided in the form of AA, rather than LA alone (Wainwright et al. 1997Citation ).

A question currently of great interest is whether dietary provision of LA and LNA is sufficient to support development of the central nervous system, or whether it is also necessary to provide preformed sources of AA and DHA. This is of particular concern in the case of preterm infants, in whom AA and DHA would have normally been provided through the placenta. It is here that the artificial rearing model in rats can make an important contribution (Ward and Wainwright 1997Citation ). In addition to allowing for the control of extraneous variables not possible in studies with human infants, it allows for systematic manipulations of dietary FA over a wide range of dietary levels. The aim therefore of the present series of studies was to use this model to supplement a diet containing the 18-carbon (n-6) and (n-3) FA within the ranges found in rat milk (10% LA and 1% LNA) with both AA and DHA. In the first of these studies (Ward et al. 1998Citation ), rat pups were fed rat milk substitutes containing oils providing 10% LA and 1% LNA through gastrostomy tubes from postnatal d 5 to 18. With the use of a 3 x 3 factorial design, these diets were supplemented with microbial cell oils providing one of three levels of both AA and DHA (0.0, 0.4 and 2.4% of fatty acids). When expressed as a percentage of the unsupplemented group, DHA in the forebrain on d 18 ranged from 82 to 142%, whereas the range for AA was less, from 86 to 110%; for the cerebellum the values were 77–153% and 75–112%, respectively. The extreme values were obtained only when either DHA or AA was provided alone at high levels. Thus, on the basis of these findings, the intent of this study was to produce a wide range of DHA and AA levels in the brain by the use of a similar preweaning feeding protocol, followed by weaning the rats onto diets of similar PUFA composition until behavioral testing, beginning at 6 wk. At the end of behavioral testing at 9 wk, the FA composition of the brain was measured to determine the relationship between the resulting range in brain FA composition and performance on the working-memory task in the Morris water-maze. Besides a suckled control group, the design of this study also included an artificially reared group that was fed a diet deficient in (n-3) FA and high in saturated fat. The literature supports adverse effects of saturated fat diets on performance in learning tasks in rats (Greenwood and Winocur 1996Citation ), and we have shown in addition that a saturated fat diet in mice results in very low DHA levels in the brain (Wainwright et al. 1994aCitation ). Given the previous findings cited above, associating (n-3) deficiency in rats with effects on working memory, we expected this group to serve as a "positive" control for negative behavioral effects. Overall, we hypothesized that the findings would indicate a relationship between levels of brain AA and DHA, as well as of the (n-6)/(n-3) FA ratio and performance on the behavioral task.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Subjects.

The rats studied were the male offspring of timed-pregnant, Long-Evans rats (Harlan Sprague Dawley, Indianapolis, IN). The pregnant dams were obtained at 10–12 d gestation and were housed individually with free access to food [AIN-93M (Reeves et al. 1993Citation ) supplied by Dyets, Bethlehem, PA]. They were maintained at 22 ± 1°C under a reversed –12-h light:dark cycle (lights off at 0600 h). Litters were culled when necessary to 10 pups within 24 h of birth. The male pups from each litter were assigned randomly to groups, with no more than one pup from any litter being assigned to a single group. The sample size ranged from 19 to 21 rats per group. All procedures used in this study were approved by the Animal Care Committee at the University of Waterloo, in compliance with the Animals for Research Act of Ontario (Revised Statutes of Ontario) and the Guide for the Care and Use of Experimental Animals from the Canadian Council on Animal Care.

Diets.

The details of the composition and mode of preparation of the rat milk substitute have been described previously (Ward et al. 1998Citation ). The dietary oils were comprised of medium-chain triglyceride (MCT) oil, coconut, soy and high oleic safflower oils (supplied by Ross Products Division, Abbott Laboratories, Columbus, OH); AA and DHA were provided in the form of single-cell microbial oils, ARAsco and DHAsco (Martek Biosciences, Columbia, MD). It is important to emphasize that, apart from the saturated fat group, which had minimal LA levels, all diets were formulated to have a ratio of LA/LNA of ~10:1. The postweaning diet consisted of a custom-made basal powder [AIN 93G (Reeves et al. 1993Citation ) prepared without added fat, Dyets] to which the appropriate dietary oil mixtures were added. The FA composition of the dietary oil mixtures for the rat milk substitute and powdered diet are shown in Tables 1Citation and 2Citation respectively; it should be noted that the differences between the compositions of these two oils are related mainly to the short- and medium-chain compounds. The values for rat milk are published in our previous paper (Ward et al. 1998Citation ). The dietary oils were stored frozen under nitrogen, as were the prepared milk diets; powdered diets were prepared three times a week and stored refrigerated under nitrogen. The rat milk substitute was replaced daily before weaning and, after weaning, the powdered diet was replaced every 2-3 d. All behavioral testing and brain fatty acid analyses were conducted with the experimenter unaware of the dietary treatment.


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Table 1. Fatty acid composition of dietary oils for rat milk substitutes1

 

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Table 2. Fatty acid composition of dietary oils for postweaning diet1,2

 
Experimental design.

The basic design was a 2 x 2 factorial, with two levels of AA and of DHA (0.0 and 2.5%). A fifth artificially reared group, the "positive" control group, was fed a diet high in saturated fat, but with sufficient LA to avoid adverse effects on growth and overt signs of EFA deficiency, i.e., high (n-6)/(n-3) ratio and trace levels of 18: 3(n-3). The sixth group, the suckled control group, consisted of pups that were fostered to nursing dams fed AIN-93M diet on the day their littermates were gastrostomized. This group functioned as the "normal" behavioral control group; it should be noted that it differed from the artificially reared groups in terms of both diet and early environment (rearing conditions). There were between 19 and 21 rats in each group, resulting in 121 rats in the study.

Artificial rearing procedure.

This has been described in detail previously (Ward et al. 1998Citation ). Briefly, on d 27 postconception (~d 5 after birth), the rat pups were anesthetized with methoxyfluorane inhalant (Metofane) and the gastrostomy tube inserted. The gastrostomy tube itself was an ~15-cm length of Intramedic tubing (PE 10, Clay Adams, Parsippany, NJ) with a small plastic flange at one end. This tube was attached to a short wire contained within silastic tubing and lubricated with MCT oil, inserted into the mouth, down the esophagus and out through the stomach wall. Pups were housed individually in plastic cups floating in a water bath maintained at 36 ± 1°C and were fed one of the experimental diets via PE tubing attached at one end to their gastrostomy tubes and at the other end to syringes attached to an infusion pump (model #55–4143, Harvard Apparatus, South Natick, MA). The pumps were programmed to deliver the formulas for 10 min every hour, and the pups were fed an amount of diet representing 29% of their body weight (adjusted daily) at the start of the procedure, increasing to 36% of body weight after ~1 wk. The pups were weighed each day, their gastrostomy tubes were flushed with 0.1 mL of deionized water, and their anogenital regions were rubbed gently with a wet tissue to stimulate urination and defecation. Suckled control pups were also weighed daily. On d 40 postconception (13 d after gastrostomy) the pups were weaned onto the AIN-93G diet as described previously and housed in groups of 3–5. Behavioral testing began at 6 wk of age; at the end of the testing period, the rats were killed under Halothane anesthesia, and their brains removed and stored at -80°C.

    Water-maze testing. This test, which was developed by Morris (Stewart and Morris 1993Citation ), uses a circular tank (152 cm diameter, 50 cm deep) constructed of opaque white plastic. It is filled with water (21–22°C) to a depth of 28 cm, and the water is rendered opaque by the addition of soluble, nontoxic white latex paint. In the place version of the maze, the rat develops a spatial map of the extra-maze cues, which it then uses to locate the platform. Thus the distance swum to the platform and the time taken in doing so should decrease over testing sessions (Days) as the rat learns the location of the platform. Moreover, it is expected that if the rat has learned the location of the platform in relation to the extra-maze cues, its initial response on the probe trial will be to swim directly to the quadrant in which it expects to find the platform. Thus the distance swum (and time spent) in the target quadrant should be greater than that in the other two quadrants (excluding the start quadrant). The distance swum to the platform as well as the latency to reach the platform were monitored using the Videomex V tracking system (Columbus Instruments, Columbus, OH). Distance can be considered a better measure of learning than latency because it will not be affected by possible differences in performance factors such as swimming speed (discussed in Wainwright 1997aCitation ). The behavioral testing was conducted during the dark cycle, when rats are normally most active.

    Place version (wk 1). The pool was located in a test room in which there were many extra-maze spatial cues. On the first 4 d, the rats were required to locate the hidden platform (9 cm x 9 cm) situated 1 cm below the surface of the water. There was one testing session per day, with four trials per session. On each trial, the rat was placed, facing the wall, in one of the four quadrants in the tank, and allowed to swim for a maximum of 45 s. Once the rat found the platform, it remained there for 10 s before being returned to the holding cage, which was kept warm on a heating pad. If the rat failed to find the platform in that time, it was placed on it for 10 s before being returned to the holding cage. Each of the four trials conducted each day was started from a different quadrant, with the order determined pseudorandomly (not twice from the same quadrant) and varying from day to day. The intertrial interval (ITI) was 60 s, counted from the end of one trial to the beginning of the next. On d 5, the platform was removed from the tank, and a probe trial was conducted by placing the rat in the quadrant opposite to that of the platform and then allowing it to swim for 15 s.

    Working-memory version (wk 2). After a 2-d interval following the probe trial, the rats were tested with the maze set up as previously, but with the following variation in procedure. The animals were tested twice a day, morning and afternoon, for 5 d. In each testing session, the rat received a pair of trials in which the start position was varied pseudorandomly, but with the platform remaining in the same place. However, in contrast to the place-learning protocol, the location of the platform was varied in a pseudorandom order among the 10 testing sessions, and the 8 locations of the platform were selected so that it would not be easy for the rats to encounter them accidentally from the start positions. As before, the ITI was 60 s, with the rat swimming for a maximum of 45 s on each trial and being allowed to remain on the platform for 10 s before being returned to the holding cage. In this version of the task, each of the testing sessions can be considered a separate "problem" in which the first of the two trials is a search trial and the second a test trial that measures the rat's ability to remember the platform location from the immediately preceding trial. A significantly shorter distance (and latency) on the second trial is considered evidence of working memory.

    Cued version (wk 3). After a further 2-d interval, the rats were tested for another 2 d, morning and afternoon, on the cued version of the maze. Under this condition, the tank was surrounded by a white curtain to obscure extra-maze cues, and the location of the platform was indicated by the attachment of a 10 cm high, 1.5 cm diameter pole, painted with black and white horizontal stripes, that served as a prominent visual cue. The location of the platform remained the same within sessions, but varied between testing sessions. Each session consisted of four trials, with the order of the four starting positions determined pseudorandomly as in the place version. Differences in performance on this task would be indicative of alterations in the sensory, motor or motivational attributes of the animals.

Brain FA composition.

At the conclusion of the behavioral testing, the rats were killed by an overdose of Halothane.

The brains were removed and stored at -80°C. Fatty acids in the forebrain were extracted using the method of Folch et al. (1957)Citation . Aliquots of total tissue lipid extracts were separated into different phospholipid fractions by thin layer chromatography with chloroform/methanol/water/triethylamine (4:5:1:4, v/v/v/v) as the developing system. The FA in the phosphatidylcholine (PC), phosphatidylethanolamine (PE) and phosphatidylinositol + phosphatidylserine (PI + PS) fractions were methylated under nitrogen according to the method of Morrison and Smith (1964)Citation . Heptadecaenoic acid was added as the internal standard. Fatty acid methyl esters were analyzed by capillary gas chromatography (Hewlett-Packard 5890 11 Plus, Hewlett-Packard, Palo Alto, CA) equipped with a 30-m (0.32-mm i.d.) capillary column (Omegawax, 0.25-µm film thickness, Supelco, Bellefonte, PA) and integrated by a Hewlett-Packard Chem Station. The oven temperature was programmed to increase from 120 to 200°C at 4°C/min and to hold a final 15 min. The identification of each fatty acid was made with authentic standard mixtures (Nu-Chek-Prep, Elysian, MN).

Statistical analysis.

The data were analyzed by using SAS version 6.0.9 (SAS Institute, Cary, NC) to perform ANOVA. Brain fatty acid composition was analyzed using preplanned (a priori) comparisons to address the following: 1) the main effects of DHA and AA; 2) the interaction between DHA and AA (with significant interactions interpreted by further analysis of the simple main effects); and 3) the difference between the two control groups, i.e., the suckled group and the saturated fat group (positive control). Tukey's test was used to conduct further post-hoc comparisons among all of the groups. The place and cued versions of the water-maze were analyzed by a two-factor ANOVA, with Diet as a between-groups factor and Days as a within-groups (repeated) factor. For the working-memory task, the analyses were conducted by first averaging, for each rat, the difference between the score on Trial 1 and Trial 2 across the 10 problems, and then analyzing these difference scores with the use of ANOVA and planned comparisons as described above, followed by post-hoc Tukey's tests on all groups. The significance level was set at {alpha} = 0.05.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Growth and fatty acid composition.

There were no significant differences among the groups in body weight at 6 wk, with a range of 189–198 g (data not shown). Forebrain fatty acid composition of the PE, PC and PI + PS fractions are shown in Tables 3Citation , 4Citation and 5Citation, respectively; the data for selected 20- and 22-carbon FA for the PE fraction are depicted graphically in Figure 1Citation . The tables also present a summary of the statistical analyses, which show that the general pattern of results for the long-chain compounds appeared to be consistent across all phospholipid fractions. Generally, these were interactive, with the effects of AA depending on the level of DHA, and the effects of DHA depending on the level of AA. For example, DHA decreased 20:4 (n-6), and AA increased 20:4 (n-6), but only at 2.5% DHA. A similar trend was seen for 22:4 (n-6). DHA decreased 22:5 (n-6), and AA increased it only at 0% DHA. DHA increased 22:6 (n-3) and AA decreased 22:6 (n-3), with a larger effect of AA at 0% DHA. Differences between the suckled and saturated fat groups with respect to 20:4 (n-6) and 22:4 (n-6), if present, were small. However, there were large differences between these groups with respect to 22:5 (n-6) and 22:6 (n-3). These were reciprocal in size and direction, such that the saturated fat group had very high levels of 22:5 (n-6) and very low levels of 22:6 (n-3). In comparing the overall FA profile, including the (n-6)/(n-3) ratio, the artificially reared group that was the most similar to the suckled control was the unsupplemented group, i.e., 10% LA and 1% LNA with 0% AA and 0% DHA.


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Table 3. Selected forebrain fatty acid composition of phosphatidylethanolamine fraction in 9-wk-old male rats fed experimental formulas containing either 0 or 2.5% arachidonic acid (AA) or docosahexaenoic acid (DHA) from postnatal d 51

 

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Table 4. Selected forebrain fatty acid composition of phosphatidylcholine fraction in 9-wk-old male rats fed experimental formulas containing either 0 or 2.5% arachidonic acid (AA) or docosahexaenoic acid (DHA) from postnatal d 51

 

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Table 5. Selected forebrain fatty acid composition of phosphatidylserine and phosphatidylinositol fractions in 9-wk-old male rats fed experimental formulas containing either 0 or 2.5% arachidonic acid (AA) or docosahexaenoic acid (DHA) from postnatal d 51

 


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Figure 1. Selected fatty acid composition of forebrain phosphatidylethanolamine in male rats fed diets supplemented with arachidonic acid (AA) and docosahexaenoic acid (DHA). The suckled and saturated fat (sat-fat) groups are included for comparison. Values represent group means ± SEM, n =19–21 pups. Groups with different superscripts are significantly different (Tukey's t test, P < 0.05)

 
Place and cued learning.

On the acquisition of place learning, shown in Figure 2ACitation , there was a main effect of Days, F (3, 345) = 208.07, P > 0.001, with all groups swimming shorter distances over days to locate the platform. There was no effect of Diet, F (5, 115) = 0.8073, P > 0.05, nor a Diet x Days interaction, F (15, 345) = 0.44, P > 0.05 on distance swum. Swimming speed tended to increase over days. F (3, 345) = 2.45, P < 0.07, but there was no effect of Diet, F (5, 115) = 1.09, P > 0.05, nor a Diet x Days interaction, F (5, 345) = 0.62, P > 0.05 (data not shown). Thus, the effects on latency to find the platform (data not shown) were similar to those on distance swum. On the probe trial, there was a main effect of Quadrant, F (2, 230) = 46.94, P < 0.001 but no effect of Diet, F (5, 115) = 0.31, P > 0.05, nor a Diet x Quadrant interaction. As seen in Figure 2Citation B, the distance swum by all groups in the target quadrant was greater than that swum in the other quadrants in all groups. There were no significant differences on the cued trials in distance swum across Days, F (1, 115) = 0.5439, P > 0.05, nor an effect of Diet, F (5, 115) = 0.5462, nor a Diet x Days interaction, F (1, 115) = 0.5830, P >0.05. These data are shown in Figure 2Citation C.



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Figure 2. Morris maze performance of 6-wk-old male Long-Evans rats fed diets supplemented with arachidonic acid (AA) and docosahexaenoic acid (DHA). The suckled and saturated fat (sat-fat) groups are included for comparison. The figure shows (A) distance swum over days to locate a hidden platform; (B) distance swum on the probe trial with the platform removed; and (C) distance swum to a visible platform. Scores for each animal were averaged daily across trials; values represent group means ± SEM, n = 19–21 pups. On the probe trial, the data are presented as an average for the distance swum in each quadrant over all groups, n = 120 pups. There were no differences among groups on any of these measures, and all groups swam a greater distance in the target quadrant on the probe trial, indicating knowledge of the platform location.

 
Working memory.

The data on working memory are presented as difference scores in Figure 3Citation , with the score representing the improvement in performance from Trial 1 to Trial 2. Because one concern with a difference score is that the same score could be achieved in different ways, preliminary analyses were done on Trial 1 to ascertain whether the groups were performing at the same level on the search trial, and this was indeed the case (data not shown). With respect to the difference scores, the suckled control group and the saturated fat group were the highest and lowest scoring groups, respectively, and the a priori comparison between these two groups was significantly different F(1, 115) = 4.44, P < 0.05. Although the improvement also appeared to be somewhat lower in both groups receiving 2.5% AA, compared with those receiving none, the main effect of AA was not significant, F (1, 115) = 0.61, P > 0.05, nor was there a main effect of DHA, F (1, 115) = 0.13, p P > 0.05 or an interaction, F (1, 115) = 0.10, P > 0.05. Post-hoc comparisons among all the groups using Tukey's t test did not support any significant differences. Further correlational analyses were conducted between the rats' brain levels of selected FA and the behavioral improvement score in individual rats. Because the suckled controls differed from the other groups not only with respect to diet but also rearing environment, these latter analyses were conducted only on the rats in the artificially reared groups. The data for the AA and DHA levels, and the (n-6)/(n-3) ratio in the PE fraction are shown in Figure 4Citation A, B and C), respectively. There was no relationship apparent between the fatty acid levels and the behavioral score. The same was true of the PC and PI + PS fractions (data not shown).



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Figure 3. Working-memory performance of 7-wk-old male Long-Evans rats fed diets supplemented with arachidonic acid (AA) and docosahexaenoic acid (DHA). The suckled and saturated fat (sat-fat) groups are included for analysis. The hidden platform was moved to a different location for each problem, and the score represents the improvement in the animals' ability to locate the platform (shorter distance covered) between Trial 1 (search trial) and Trial 2 (test trial). Scores were averaged across problems, and values represent group means ± SEM. The saturated fat group (positive control) performed more poorly than the suckled control group (preplanned comparison, P < 0.05).

 


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Figure 4. Correlation between forebrain phosphatidylethanolamine (PE) fatty acid composition and working-memory performance in 9-wk-old male Long-Evans rats fed diets supplemented with arachidonic acid (AA) and docosahexaenoic acid (DHA) and including the saturated fat group.

(A) AA: Y = -10.89X + 426.55, r2 = 0.008, P = 0.389

(B) DHA: Y =3.32X + 211.14, r2 = 0.008, P =0.387

(C) (n-6)/(n-3): Y = -25.21X + 309.88, r2 = 0.009, P = 0.358

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The intent of this study was to use the artificial rearing method in infant rats to vary AA and DHA levels in the developing brain by supplementation of a basal diet containing oils providing 10% LA and 1% LNA with either 0 or 2.5% of AA and/or DHA, and then to test the young adults in the Morris water-maze, including in the protocol a test of working-memory ability. The study design included a suckled control group that was weaned onto standard laboratory diet as a normal reference group, as well as a positive control in the form of a group fed high levels of saturated fat. As expected, the dietary manipulations in the artificially reared groups resulted in a wide range of fatty acid levels in the forebrain; in the unsupplemented group, these included levels similar to those seen in the suckled control groups. Generally, the effects of AA and DHA supplementation were interactive, such that AA supplementation increased AA levels and decreased DHA levels, and DHA supplementation increased DHA levels and decreased AA levels. These effects and their magnitude depended on the level of supplementation of the other long-chain FA and in this way are consistent with those reported in our previous study (Ward et al. 1998Citation ). The groups did not differ in their performance on the place and cued versions of the water-maze. The only significant difference among the groups with respect to working memory was that predicted a priori between the suckled control and the positive control (saturated fat) groups, with the saturated fat group showing poorer performance. Furthermore, despite the large sample size, there were no significant correlations in the artificially reared rats between levels of AA, DHA or the (n-6)/(n-3) ratio in the various phospholipid fractions and the behavioral measure.

The advantage of the artificial rearing method is that it allows precise control over the delivery of nutrients to the rat pup during the time when its brain is growing most rapidly. The timing of this brain growth spurt varies among mammalian species, occurring postnatally in the rat, but during the third trimester in human infants (Dobbing 1990Citation ). In contrast to our previous study in which the FA composition of the brain was measured at 18 d of age, the rats in this study were maintained on diets of similar oil composition until the conclusion of the behavioral testing, when they were 9 wk. On the basis of the previous results (Ward et al. 1998Citation ), the level of supplementation of AA and DHA that was implemented in this study (2.5%) was expected to produce a wide range of FA values. This was supported by the results, which show that when expressed as a percentage of the unsupplemented group (0% AA and DHA), AA in forebrain PE varied between 84 and 103%, and DHA varied between 86 and 119% (compared with the previous values of 86–110% and 82–142%). The previous study also included an intermediate level of supplementation (0.5% AA and DHA), and it was this group that most closely resembled the suckled controls in long-chain PUFA levels, with the unsupplemented group (0% AA and DHA) being somewhat lower. It should be noted that in this study, the suckled control group was very similar to the unsupplemented group, with AA values of 99% and DHA values of 105% of those of the unsupplemented group. Because both groups were weaned onto diets that did not contain AA and DHA (suckled group fed AIN 93G semipurified diet, which contains soybean oil), the capacity in both groups to manufacture the necessary long-chain PUFA during the postweaning period is supported. An additional feature of this design was the inclusion of the saturated fat group as a positive control for the behavioral measures. This group was fed oils containing sufficient LA to prevent growth retardation (preweaning 2.5% LA, postweaning 3.0% LA), and AA levels in the brain were similar to those of the unsupplemented control (100%); however, DHA levels were much lower (64%). These low DHA levels, accompanied by a reciprocal increase in 22:5 (n-6), are consistent with our previous work in mice fed a diet high in saturated fat (Wainwright et al. 1994aCitation ).

It is important to note that in this study, the effects of supplementation of AA and DHA could be evaluated against a background of sufficient precursor (n-6) and (n-3) FA in the diet. Moreover, by providing a range of brain FA levels, the nature of the relationship between brain FA composition and behavior could be assessed directly. In contrast, a behavioral difference in a design using only two groups, for example (n-3) deficient and adequate, is more difficult to interpret because the diet could be affecting a wide range of biochemical functions other than those related to DHA or AA levels. Furthermore, although the effects of extreme deficiency and excess are important, a thorough understanding of the role of FA in brain function must include consideration of the dose-response relationship which, as in this study, encompasses effects within the normal range. The results indicate that despite the large variation in brain FA composition across the artificially reared groups, none of these groups differed significantly on behavioral performance in the water-maze. Although supplementation with AA appeared to be associated with slightly lower scores on the measure of working memory, this was not supported by the factorial analysis or by post-hoc comparisons. The correlations did not support a relationship between the FA composition of forebrain phospholipids and behavioral performance. The only significant difference on the working-memory task was that predicted a priori between the control groups, with the saturated fat group being less proficient than the suckled control group. It is important to bear in mind, however, that this effect could be due as much to rearing as to dietary condition. Comparison of each of these groups with the unsupplemented group can be informative in this regard because the unsupplemented group was similar to the suckled control with respect to brain FA composition (discussed above), and it shared rearing conditions with the saturated fat group. Interestingly, although the differences were not significant, the value of the working-memory score of the unsupplemented group was between those of the two control groups, suggesting that both rearing and dietary treatment were contributory factors.

The relationship between dietary PUFA, brain DHA and AA levels and functional development is of particular interest in the case of formula-fed premature infants, in whom AA and DHA would have normally been provided through the placenta. Several studies with preterm infants randomly assigned to receive standard or supplemented formulas have been published. Studies with preterm infants fed formulas supplemented with DHA from marine oil report higher electroretinogram responses at 36 wk postconception (Birch et al. 1992Citation ) and transient increases in visual acuity (2 and/or 4 mo) (Carlson et al. 1993a and 1996Citation Citation ). Similar studies with formulas containing both DHA and AA are not currently available. There are also studies in term infants that have shown effects on visual and developmental outcomes of supplementing formula with DHA or both AA and DHA (Birch et al. 1998Citation , Makrides et al. 1996Citation ), although these findings are not consistent (Auestad et al. 1997Citation ). The relationship between the effects seen on visual function and overall cognitive development remains controversial (discussed in Dobbing 1997Citation ). Some studies of preterm infants do report some differences associated with dietary supplementation on Bayley Scales of Infant Development (Carlson et al.1994Citation ), as well as measures of looking behavior on the Fagan Test of Infant Intelligence (Carlson and Werkman 1996Citation , Werkman and Carlson 1996Citation ); these effects are similar to those reported in monkeys fed (n-3)–supplemented, compared with (n-3)–deficient formula (Reisbick et al. 1997Citation ). There is also a report in term infants of improvements on the Brunet-Lézine test of psychomotor development at 4 mo (Agostoni et al. 1995Citation ), but the dietary groups no longer differed in a follow-up study at 24 mo (Agostoni et al. 1997Citation ). A recently published study by Willatts et al. (1998)Citation showed improved problem solving in 10-mo-old term infants fed diets supplemented with AA and DHA compared with infants fed an unsupplemented formula that had a high (n-6)/(n-3) ratio and very low levels of {alpha}- linolenic acid.

Where does this leave us with respect to the question of a putative role for (n-3) FA in cognitive performance? Maybe what is needed here is for us to reexamine the basic assumptions that inform our experimental approach when we try to determine the relationship between nutritional interventions and cognitive outcomes. One approach to such questions is based on the premise that if we can show that dietary manipulations have an effect on biochemical measures that we know to be associated with alterations in physiologic functions in the brain, then these must necessarily be implicated in behavioral changes. For example, it was reported recently that rats fed diets restricted in (n-3) FA showed decreased dopamine levels and decreased D2 receptor binding in frontal cortex (Delion et al. 1994Citation ). This led Reisbick and Neuringer (1997)Citation to postulate that (n-3) FA deficiency might be associated with alterations in the function of the mesocorticolimbic pathway. Our current understanding of the role of this pathway in behavioral functions would thus lead us to expect changes associated with dopamine release in the nucleus accumbens in the midbrain, as well as in prefrontal cortex. On the other hand, the considerable redundancy seen in various systems in the brain suggests that it might be possible for the brain to maintain normal function despite considerable biochemical variation. In Parkinson's disease, for example, only when the loss of dopaminergic neurons in the substantia nigra exceeds 70–80% do the overt motor symptoms become apparent (Agid et al. 1987Citation ). Thus, the fact that we have been unable to show effects on a task related to working memory in rats in this study, despite the wide range of FA levels, may be an indication of such plasticity. It appears that there is an optimum range of activity in different neurochemical systems that supports normal function, and it is only when these homeostatic limits are challenged by extreme dietary manipulations, disease, or possibly aging, that symptoms will become evident. Furthermore, on the basis of research on animal cognition, it is becoming recognized increasingly that there are different systems of learning and memory, and that a manipulation that impairs performance on one type of learning task may have no effect on another. In studies done in rats, for example, excitotoxic lesions of the hippocampus impaired aversive contextual conditioning, but left aversive conditioning to an explicit conditioned stimulus intact (Everitt and Robbins 1997Citation ). Findings such as these caution against the expectation that manipulation of neural systems, either by drugs or nutrition, will necessarily be manifest in changes in behavior, and, should such behavioral changes indeed be present, that interpretation will be simple. They also emphasize the importance of basing dietary recommendations, not on any one behavioral outcome, such as "learning ability," but rather on a clear understanding of the basic neural mechanisms involved, derived from the interrelationships among a variety of biochemical and behavioral measures.

In summary, by feeding artificially reared rat pups diets with adequate levels of LA and LNA, supplemented with AA and DHA as microbial oils, we varied levels of AA and DHA in forebrain phospholipids over a wide range. We did not, however, show a relationship between brain fatty acid composition and performance on a working-memory task in the Morris water-maze.


    ACKNOWLEDGMENTS
 
The authors thank Martek Biosciences for providing the microbial oils, and particularly K. Boswell of Martek for help in preparing the dietary oil mixtures. D. McCutcheon, N. Gibson, L. Foxcroft and J. Fekete provided invaluable assistance with the rearing of the animals, as did T. Girard and I. Wauben with the behavioral testing.


    FOOTNOTES
 
1 Presented in part at Experimental Biology 98, April 1998, San Francisco, CA [Wainwright, P. E. 1998 Importance of dietary essential fatty acids in brain development and function. FASEB J. 12: A135. Back

2 Supported by funds provided by Ross Laboratories together with matching funds from the Natural Sciences and Engineering Research Council of Canada through a Collaborative Research and Development grant. The single cell oils were provided by Martek Biosciences Corporation. Back

4 Abbreviations used: ARA, arachidonic acid; EFA, essential fatty acids; EPA, eicosapentaenoic acid; FA, fatty acids; LA, linoleic acid; LNA, linolenic acid: LCPUFA, long-chain polyunsaturated fatty acid; MCT, medium-chain triglyceride; PC, phosphatidylcholine; PE, phosphatidylethanolamine; PI, phosphatidylinositol; PS, phosphatidylserine; PUFA, polyunsaturated fatty acid. Back

Manuscript received July 10, 1998. Initial review completed November 5, 1998. Revision accepted January 28, 1999.


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