Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-06T10:04:04.074Z Has data issue: false hasContentIssue false

New insights into nutrition and cognitive neuroscience

Symposium on ‘Early nutrition and later disease: current concepts, research and implications’

Published online by Cambridge University Press:  24 August 2009

M. J. Dauncey*
Affiliation:
Wolfson College, University of Cambridge, Cambridge, UK
*
Corresponding author: Dr M. J. Dauncey, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Nutrition can affect the brain throughout the life cycle, with profound implications for mental health and degenerative disease. Many aspects of nutrition, from entire diets to specific nutrients, affect brain structure and function. The present short review focuses on recent insights into the role of nutrition in cognition and mental health and is divided into four main sections. First, the importance of nutritional balance and nutrient interactions to brain health are considered by reference to the Mediterranean diet, energy balance, fatty acids and trace elements. Many factors modulate the effects of nutrition on brain health and inconsistencies between studies can be explained in part by differences in early environment and genetic variability. Thus, these two factors are considered in the second and third parts of the present review. Finally, recent findings on mechanisms underlying the actions of nutrition on the brain are considered. These mechanisms involve changes in neurotrophic factors, neural pathways and brain plasticity. Advances in understanding the critical role of nutrition in brain health will help to fulfil the potential of nutrition to optimise brain function, prevent dysfunction and treat disease.

Type
Research Article
Copyright
Copyright © The Author 2009

Abbreviation:
IQ

intelligence quotient

The role of nutrition in cognitive neuroscience is complex because, as with all aspects of nutrition, it is multifactorial. The concern is not simply with the impact of a single chemical on the brain but with multiple nutrients, metabolites and interacting factors. Nevertheless, despite many controversies, themes are emerging and underlying mechanisms are being elucidated. This position is in part a result of major advances in many areas of the biological sciences and the development of new techniques in molecular biology and brain imaging.

Cognition refers to the mental processes involved in acquiring knowledge and the integration of these processes into responses such as learning, attention, memory, intelligence (intelligence quotient; IQ) and consciousness. Many aspects of nutrition, from entire diets to individual nutrients, have been implicated in cognition, mental health, dysfunction and disease(Reference Barberger-Gateau, Raffaitin and Letenneur1Reference van der Beek and Kamphuis5). It is not surprising that nutrition affects cognition and mental health because brain structure and function are ultimately dependent on nutritional input. However, it is difficult to assess the precise actions of specific dietary components because individuals eat foods and diets, not individual nutrients. Nevertheless, numerous studies have shown that many aspects of cognition are affected by nutrition, including memory, IQ, attention-deficit hyperactivity disorder, dyslexia, depression, schizophrenia, dementia, Alzheimer's disease and Parkinson's disease(Reference Barberger-Gateau, Raffaitin and Letenneur1Reference van der Beek and Kamphuis5).

In recent years advances have been made in several key areas of nutrition and cognitive neuroscience. Nutritional interactions and the balance between specific nutritional components are recognised to be of critical importance, and considerable progress has been made in relation to energy balance, fatty acids and trace elements. Numerous inconsistencies have been reported between studies on nutrition, cognition and mental health, which can be accounted for by many factors, including differences in study design. Recent research suggests that two other factors are of particular importance: early environment; genetic variability. Early nutrition profoundly influences mental health in later life, and multiple gene variants markedly alter cognitive responses to nutrition. Understanding of the molecular mechanisms linking nutrition to brain function and mental health is increasing, especially in relation to multiple cell signalling pathways. These mechanisms involve growth factors, hormones and genes important for neurological function. Deeper understanding of these mechanisms, outlined in Fig. 1, should lead to a clearer definition of optimal nutrition for cognition and mental health.

Fig. 1. Outline of mechanisms linking nutrition to brain function and mental health. Multiple cell signalling systems and neural pathways mediate the actions of nutrition on cognition and mental health. Neurotrophic and neuroendocrine factors play key roles in this response. For example, energy balance and n-3 fatty acids act via brain-derived neurotrophic factor (BDNF) and insulin-like growth factor-1 (IGF-1) to alter expression of numerous genes involved in neuronal function, plasticity and neurogenesis. →, ←, Examples of the many factors that modulate the actions of nutrition on brain function.

Nutritional balance and brain health

Marked interactions occur between different dietary components, and it is becoming increasingly clear that the balance between specific nutritional factors plays a key role in cognitive function. Recent findings will be illustrated by reference to the Mediterranean diet, energy balance, n-3 and n-6 fatty acids and the trace elements Cu and Zn.

Mediterranean diet

In recent years considerable attention has focused on the role of the Mediterranean diet in cognition and mental health. Precise definition of this diet varies between studies. In general, it is characterised by high intakes of vegetables, fruits, cereals, fish and unsaturated fats such as olive oil, a low to moderate intake of wine during meals and low intakes of red and processed meats, dairy foods and saturated fats. Differences in mental health linked with the Mediterranean diet are probably related in part to nutritional balance, both of different foods and of specific nutrients.

Comprehensive analysis of several studies has shown that higher adherence to the Mediterranean diet reduces the risk of Alzheimer's and Parkinson's diseases by 13%, suggesting clinical relevance for public health(Reference Sofi, Cesari and Abbate6). Particularly important is the finding that this diet is also associated with reduced risk of developing mild cognitive impairment and of its conversion to Alzheimer's disease(Reference Scarmeas, Stern and Mayeux7). In the latter study adjustments were made for many variables such as age, energy intake and BMI. However, the authors could not exclude the possibility that physical activity may partially account for some of the effects of the Mediterranean diet.

Energy balance

There are numerous links between energy balance and the brain; not only does the brain have a key role in regulation of energy intake and energy expenditure(Reference Berthoud and Morrison8, Reference Gao and Horvath9), but energy intake and physical activity influence brain structure and function(Reference Dauncey and Bicknell10).

Considerable evidence demonstrates a close link between energy balance and mental health. The importance of physical activity to mental health is now well recognised(Reference Colcombe, Erickson and Scalf11Reference Hillman, Erickson and Kramer13). It decreases the risk of depression and improves mood and self-esteem. Moreover, regular aerobic exercise increases brain volume and reduces the risk of cognitive impairment, dementia and Alzheimer's disease in older adults.

Moderate undernutrition reduces age-related deficits in cognitive function, whereas overnutrition increases oxidative damage, reduces synaptic plasticity and decreases cognitive function(Reference Gómez-Pinilla14). High-energy diets and a sedentary lifestyle are leading to increased prevalence of obesity and diabetes. These conditions are linked with impaired cognitive function and risk of depression and dementia(Reference Brayne, Gao and Matthews15). Moreover, patients with mental illnesses such as schizophrenia and bipolar disorder have increased incidence of metabolic syndrome and associated obesity, type 2 diabetes and dyslipidaemia(Reference Newcomer16). Multiple mechanisms, involving chronic inflammation, cell signalling pathways and genetic factors, link overnutrition with numerous disorders including CVD and Alzheimer's disease(Reference Dauncey and White17, Reference Berridge18).

Fatty acids: n-3 and n-6

Despite some controversy, substantial evidence suggests a vital role for n-3 PUFA in cognition and mental health(Reference Appleton, Rogers and Ness19Reference Fotuhi, Mohassel and Yaffe21). These fatty acids enhance memory, mood and behaviour and reduce the symptoms of depression. By contrast, deficiency of n-3 fatty acids is linked with increased risk of dyslexia, attention-deficit hyperactivity disorder, depression, dementia, Alzheimer's disease and schizophrenia. Moreover, diets high in trans- and saturated fats adversely affect cognitive function(Reference Parrott and Greenwood22).

The n-3 fatty acids include α-linolenic acid (18:3n-3), EPA (20:5n-3) and DHA (22:6n-3). The latter has an especially important role in optimising brain structure and function(Reference Innis23, Reference Novak, Dyer and Innis24). The actions of DHA are mediated in part by effects on cell membrane structure and energy metabolism. Higher levels of brain DHA increase membrane flexibility and protein–lipid interactions, leading to enhanced neuronal activity and cognition. DHA also has a protective role via its effects on inflammation, oxidative stress and cytokine release. By contrast, decreased DHA in the developing brain is associated with impairments in neurogenesis, neurotransmitter metabolism, learning and memory.

It has long been recognised that fatty acid intake affects the fatty acid content of the body, and maternal intake is reflected in newborn and breast-fed infants(Reference Widdowson, Dauncey and Gairdner25, Reference Innis26). Foods high in α-linolenic acid include vegetable oils such as linseed, soyabean and rapeseed and meat from grass-fed animals. However, conversion of α-linolenic acid to EPA and then to DHA is extremely inefficient. Optimal amounts of EPA and DHA therefore have to be provided by an adequate dietary intake, e.g. from fish. Current interest focuses on mechanisms for enhancing n-3 fatty acids in the food supply. These mechanisms include modification of meat and milk composition by standard methods of animal husbandry and the use of transgenic techniques for developing plants that produce n-3 fatty acids(Reference Lunn and Buttriss27).

Recent research suggests that it is not simply the level of n-3 fatty acids but the balance between n-3 and n-6 fatty acid intakes that is critical for optimal mental health(Reference Novak, Dyer and Innis24). Competitive inhibition occurs between these two groups of fatty acids and Western diets low in n-3 fatty acids and high in n-6 fatty acids may contribute to reduced accretion of DHA, inhibition of secondary neurite growth and impaired brain development and function.

Not only does the balance within specific nutrient groups affect cognition, but interactions also occur between different groups of nutrients. Thus, a high intake of dietary Cu is associated with cognitive decline if it is combined with a high intake of saturated and trans-fats(Reference Morris, Evans and Tangney28).

Trace elements: copper and zinc

Trace elements are of widespread neurological importance and yet are frequently overlooked in studies on nutrition and cognitive function. For example, Cu and Zn have critical actions in neurodevelopment, neurotransmitter synthesis, energy metabolism, antioxidant defence and DNA synthesis(Reference Jones, Beard and Jones29Reference Murakami and Hirano31). Thus, it is not surprising that these trace elements are important for cognitive function. Low plasma Cu is linked with the cognitive decline of Alzheimer's disease and Zn deficiency is linked with attention-deficit hyperactivity disorder in children, impaired memory and learning in adolescents and stress, depression and cognitive decline in adults(Reference Stokes4, Reference Klevay32).

Trace elements occur in many foods and in healthy individuals on a well-balanced diet the risk of trace element imbalance and subsequent cognitive impairment is low. Good sources of Cu are liver, seafood, nuts, wholegrain cereals, legumes and chocolate, while Zn is abundant in lean red meat, liver, seafood and dairy products(Reference Strain, Cashman, Gibney, Vorster and Kok33). Recent findings suggest that optimal plasma concentrations of Cu, Zn and Fe exist for optimal cognitive function in older adults, with results being gender specific(Reference Lam, Kritz-Silverstein and Barrett-Connor34). Moreover, there is a fine balance between the beneficial and harmful effects of many trace elements. In patients with Alzheimer's disease Cu homeostasis is disrupted and this factor may be the trigger for increased oxidative stress and neurodegeneration(Reference Rossi, Squitti and Calabrese35).

Interactions between trace elements may have profound importance for optimal mental health. Deficiency of Zn affects approximately 30% of the world's population and can be a major factor affecting cognition in pregnant women(Reference Stoecker, Abebe and Hubbs-Tait36). However, although Zn supplementation alleviates symptoms of deficiency, it can reduce Cu absorption and may result in Cu deficiency and neurological disorders(Reference Rowin and Lewis37). Such interactions may be especially important for the cognitive development of small preterm infants. These children are born with inadequate stores of Fe, Cu and Zn(Reference Widdowson, Dauncey and Shaw38, Reference Dauncey, Shaw and Urman39) and are frequently given Fe supplementation but no additional source of Cu or Zn.

Nutrition–age interactions and brain health

Many factors modulate the effects of nutrition on mental health, including age (Fig. 1). Early-life experience is of particular importance; in adults the incidence of mental disorders and disease may be related in part to early nutrition. Both prenatal and postnatal nutrition can affect mental health and the incidence of disease in later life, and these effects may even be passed to subsequent generations(Reference Lucas40Reference Symonds, Stephenson and Gardner43).

Critical periods of development

Programming is the phenomenon whereby an insult, such as malnutrition, acting during a critical period has long-term or permanent effects on structure and function. Both the timing and type of insult are important to later brain function. Critical periods of neurodevelopment occur during prenatal and postnatal life, indicating that optimal nutrition is especially important during these early stages of the life cycle(Reference Dauncey and Bicknell10). The precise timing of critical periods is related to brain region and anatomical function. For example, in adults who were developing during the atomic bombing of Hiroshima and Nagasaki brain damage and mental retardation were greatest in those who experienced radiation at 8–15 weeks of gestation(Reference Schull and Otake44). During this period there is rapid proliferation of neuronal elements and neuroblast migration to the cerebral cortex.

Less severe but nevertheless important effects on adult cognition and mental health are associated with early environment, including nutrition. However, most studies in adults do not account for early environmental experiences. The probability is that these experiences account in part for some of the individual differences in adult cognitive responses to nutrition.

Early nutrition and later mental function

Intrauterine growth restriction reflects a reduction in nutrient supply to the fetus, and infants born both small for gestational age and preterm have many nutritional deficits. This outcome has both immediate and long-term consequences for mental health. Recent findings show these infants to be at major risk of impaired neurodevelopment and neurobehaviour, including multiple cognitive deficits in memory and learning(Reference de Moraes Barros, Guinsburg and Mitsuhiro45Reference Saigal and Doyle47).

Not only are very small infants at risk but size at birth, across the weight range, is related to long-term cognitive function and mental health(Reference Phillips48). Despite some inconsistencies between studies, effects on IQ, depression, attention-deficit hyperactivity disorder and schizophrenia have been documented(Reference Phillips48). There are gender-specific differences, with males being affected more than females. Mechanisms underlying these effects involve changes in neurodevelopment and neuroendocrine systems such as the hypothalamic–pituitary–adrenal axis, growth hormones and thyroid hormones.

Despite considerable controversy, substantial evidence suggests that both maternal and infant nutrition have a critical role in later brain function. Maternal n-3 fatty acid intake at 32 weeks of gestation is directly related to the child's IQ at 8 years(Reference Hibbeln, Davis and Steer49). Moreover, breast-fed infants have a greater IQ at 6·5 years(Reference Kramer, Aboud and Mironova50). This outcome cannot be entirely a result of social and behavioural differences associated with breast-feeding, because IQ is also greater at 8 years in preterm infants who were tube-fed expressed breast milk(Reference Lucas, Morley and Cole51). The possibility is that essential fatty acids and growth factors in human milk are involved in this response.

Particularly important are recent findings that early nutrition affects brain structure as well as cognitive function in later life. The hippocampus has an important role in cognition and memory, and preterm infants with intrauterine growth restriction have a reduced hippocampal volume at term age, as well as less-mature brain function(Reference Lodygensky, Seghier and Warfield52). Potential mechanisms include placental insufficiency, increased maternal glucocorticoids and micronutrient deficiency. Optimisation of infant nutrition has long-term beneficial effects on brain structure and function. Preterm infants given a high-nutrient formula have a greater IQ as adolescents than those fed standard formula(Reference Isaacs, Gadian and Sabatini53). The difference in IQ is greater in boys than girls and is accompanied by structural changes; the volume of caudate nuclei is greater in those fed a high-nutrient formula as infants. The extent to which these differences persist into adult life now needs to be investigated.

Nutrition–gene interactions and brain health

Individual variability in responses to nutrition can undoubtedly explain some inconsistencies between studies on nutrition, cognition and mental health. With energy balance, for example, there are marked individual differences in appetite control, RMR and spontaneous activity(Reference Dauncey54). Gene variants involving single nucleotides markedly affect cognitive responses to nutrition. Moreover, recent studies on variants involving multiple copies or deletions of DNA sequences suggest that these variants may be especially relevant to individual responses to nutrition. Current research also focuses on the extent to which epigenetics, i.e. heritable changes in gene expression that do not involve a change in DNA sequence, is involved in mediating the long-term effects of nutrition on the brain.

Single-nucleotide polymorphisms

Single-nucleotide polymorphisms are a powerful tool for investigating the role of nutrition in health and disease(55, Reference Dauncey and Astley56). Numerous investigations, including many on fats, trace elements and energy balance, have highlighted the importance of single-nucleotide polymorphisms in neural and cognitive responses to nutrition.

It is well-established that a variant of APOE, a gene essential for lipid transport, is linked with Alzheimer's disease. More recently, it has been found that a variant of FADS2, a gene (encoding fatty acid desaturase 2) that is involved in the control of fatty acid pathways, modifies the relationship between infant feeding and IQ(Reference Caspi, Williams and Kim-Cohen57). Many genes have been implicated in the regulation of energy balance and obesity(Reference Aisbitt58, Reference Marti, Martinez-González and Martinez59), providing a mechanistic link between energy status and mental health via neuronal control of energy intake and energy expenditure. Complex interactions occur between these genes and their multiple actions in energy balance. Leptin, FTO and melanocortin 4 receptor genes appear to control both appetite and spontaneous activity(Reference Dauncey54, Reference Loos, Rankinen and Tremblay60). Moreover, common variants of the melanocortin 4 receptor gene add to the effect of the FTO gene in the control of body weight(Reference Loos, Lindgren and Li61). Furthermore, recent research suggests that melanocortins could be used as therapeutic neuroprotective agents, since they act via their receptors to exert anti-inflammatory effects in injured brain cells(Reference Catania62).

Gene–gene interactions, termed epistasis, add further to the complexity of this field. Detailed assessment of Cu, Zn and Fe in the hippocampus shows that polygenic influences underlie altered homeostasis and neurological disease(Reference Jones, Beard and Jones29). As epistasis can alter the effect of a genetic variant on phenotype, it can be of limited value to measure the effect of one single-nucleotide polymorphism unless the genomic background is also assessed.

Copy number variants

In recent years considerable insight has been gained into the importance of copy number variants in determining genetic variation(Reference Redon, Ishikawa and Fitch63, Reference Stranger, Forrest and Dunning64). These structural variants are common in the human genome and involve multiple copies or deletions of DNA sequences that can affect from 1 kb to many megabases of DNA per event. These insertions or deletions occur in genes, parts of genes and outside genes and they are linked with genes involved in molecular–environment interactions. Thus, it is highly probable that interactions between environmental factors such as nutrition, single-nucleotide polymorphisms and copy number variants play a critical role in determining cognitive ability, mental health and neurodegenerative disease.

Epigenetics

Recent research suggests that epigenetics plays a key role in the early nutritional programming of long-term cognition and mental health(Reference Burdge, Hanson and Slater-Jefferies65, Reference Waterland and Michels66). Two major components of epigenetic regulation are DNA methylation and histone acetylation. The former represses gene activity, while the latter increases gene activity, via chromatin remodelling. The epigenetic marking of genes is quite persistent, and the effects of early nutrition on cognition and mental health may be passed between generations via epigenetic mechanisms that modify DNA function but not sequence.

The environment exerts a powerful effect on epigenetic regulation and alterations can occur during the lifetime of identical twins, resulting in differences in gene expression between closely-related individuals. These differences may be critical for brain function; epigenetic mechanisms have been implicated in cognitive function, memory and mental health(Reference Tsankova, Renthal and Kumar67). These recent studies suggest that nutrition probably has marked influences on the epigenetic programming of brain health and cognition.

Mechanisms underlying nutrition and brain health

It is well recognised that nutrition affects many aspects of brain function including cell membranes, metabolites, enzymes and neurotransmitters(Reference Dauncey and Bicknell10). Considerable progress has now been made in understanding the molecular mechanisms and neural pathways underlying the effects of nutrition on mental health. Cellular and nuclear receptors play a key role in mediating nutritional effects on function(Reference Dauncey and Astley56, Reference Dauncey, White and Burton68Reference Bernardo and Minghetti70). They enable sophisticated regulation of numerous genes involved in neural function and brain plasticity. Nutrients such as fatty acids have receptors in the cell nucleus and thus act directly to affect multiple actions in the brain, by regulating the transcription of numerous genes involved in structure and function. By contrast, energy balance and metabolites affect gene expression indirectly via changes in cell signalling molecules that regulate transcription.

Neurotrophic and neuroendocrine factors

Many nutritional actions on mental health are mediated by neurotrophic and neuroendocrine regulators of brain function. These regulators include brain-derived neurotrophic factor, insulin-like growth factor-1 and glucocorticoids. For example, brain-derived neurotrophic factor acts via TrkB receptors to affect cell signalling pathways, neurogenesis, neuroprotection, learning and memory(Reference Berridge18).

Nutritional status affects many growth factors and hormones, which can act as nutritional signals to influence numerous biological systems via changes in gene expression(Reference Dauncey, White and Burton68). For example, brain-derived neurotrophic factor and insulin-like growth factor-1 play key roles in mediating the effects of energy balance and n-3 fatty acids on brain health by activating cell signalling systems linked to transcription of genes involved in synaptic plasticity(Reference Gómez-Pinilla14). Similarly, the effects of exercise on cognition can be explained in part by its specific induction of brain-derived neurotrophic factor gene expression in the hippocampus(Reference Cotman, Berchtold and Christie71).

Critical interactions occur between nutrition and many other factors in regulation of neural pathways (Fig. 1). Dietary DHA supplements enhance the effects of exercise on synaptic plasticity and cognition(Reference Wu, Ying and Gómez-Pinilla72). Exercise and oestrogen up regulate many of the same biochemical markers in the brain that increase cognitive and neural plasticity; brain-derived neurotrophic factor increases with exercise and oestrogen replacement and the effects are synergistic(Reference Kramer and Erickson73).

Brain plasticity and adult neurogenesis

The brain has considerable neural, synaptic and cognitive plasticity to adapt not only to neural damage but also to nutrition. For example, energy balance and n-3 fatty acids have marked effects on synaptic plasticity via changes in gene expression of neurotrophic factors (Fig. 1). Molecular evolution of the synaptic proteome, including changes in receptors, cytoskeletal proteins and adhesion proteins, has enabled complex brain function to develop(Reference Emes, Pocklington and Anderson74). Analysis of the complex interactions between nutrition and the synaptic proteome suggests a promising area for future research.

Adult neurogenesis is currently of considerable research interest, and recent studies have shown that it is physiologically important in the hippocampus; adult-born neurones can form functional synapses with target cells(Reference Toni, Laplagne and Zhao75). Important links exist between energy metabolism, glucocorticoids and adult neurogenesis. Thus, a highly important finding is that cognitive impairment in diabetes may result from glucocorticoid-mediated deficits in neurogenesis and synaptic plasticity(Reference Stranahan and Arumugam76). By contrast, exercise and dietary restriction exert anti-diabetic effects and can enhance synaptic plasticity and neurogenesis.

Lifestyle, stress and social interaction can also alter nutritional effects on mental health, and this process is probably mediated in part by glucocorticoids(Reference Roberts77). Elevated glucocorticoid levels are associated with poor cognitive ability in individuals subjected to psychosocial stress(Reference Oei, Everaerd and Elzinga78), during normal ageing(Reference MacLullich, Deary and Starr79) and in Alzheimer's disease(Reference Elgh, Lindqvist Astot and Fagerlund80). The possibility, therefore, is that these effects are exerted via changes in brain plasticity and neurogenesis.

Recent studies are also providing new insights into the role of white matter (the brain region underlying the grey matter cortex) in plasticity and cognitive function(Reference Fields81). Changes in myelin genes and alterations in structure of white matter occur in many psychiatric disorders. Moreover, myelination continues for many decades in the human brain and can change with environmental experience(Reference Fields81Reference Als, Duffy and McAnulty83). This outcome suggests a novel and potentially important role for nutrition in regulating myelin plasticity and mental health.

Concluding remarks

Recent studies on the balance and interactions between nutritional components have markedly advanced understanding of the critical role of nutrition in cognition and mental health. The extent to which other factors, such as age and genetics, modulate responses to nutrition is also revealing new insights into its complex actions in brain function. The effects of nutrition on brain plasticity and adult neurogenesis are important areas for future research. They suggest potential mechanisms by which specific nutritional components could be used to improve brain function. Early nutrition is especially critical for long-term cognitive function and mental health. However, recent findings on plasticity and neurogenesis suggest that nutrition throughout the life cycle could be used to optimise brain function, prevent dysfunction and treat disease. Vulnerable groups include not just the very young and the very old, but also those who for many reasons have suboptimal nutritional status at different ages. Considerable evidence suggests that incorporation of advice on diet and physical activity will undoubtedly be of benefit in optimising mental health.

Other potentially important directions for the future include the roles of genomics and epigenomics in modulating the effects of nutrition on the brain and mental health. In the long term, personalised nutrition, based on individual genetic variability and environmental susceptibility, should help to optimise brain function and prevent or alleviate mental disorders. Considerably more research is needed to elucidate the complex interactions between nutrition and numerous variables such as environment, genetics, age and lifestyle in determining cognition and mental health. New genomic technologies and sophisticated imaging techniques are central to recent advances in cognitive neuroscience. Combining these techniques with classical nutrition studies should result in long-term benefits for optimal brain health, longevity and quality of life.

Acknowledgements

I should like to thank D. I. W. Phillips, Southampton University and Hospitals NHS Trust, Southampton, UK and G. C. M. Selby, Ministry of Justice Mental Health Review Tribunal, and Faculty of Health and Social Care, Open University, Milton Keynes, Bucks., UK, for expert advice and invaluable discussion. M. J. D. is a Fellow of Wolfson College, University of Cambridge and would like to thank the College and University for the use of computing and library facilities. The author declares no conflicts of interest.

References

1.Barberger-Gateau, P, Raffaitin, C, Letenneur, L et al. (2007) Dietary patterns and risk of dementia. Neurology 69, 19211930.CrossRefGoogle ScholarPubMed
2.Luchsinger, JA, Noble, JM & Scarmeas, N (2007) Diet and Alzheimer's disease. Curr Neurol Neurosci Rep 7, 366372.CrossRefGoogle ScholarPubMed
3.Associate Parliamentary Food and Health Forum (2008) The links between diet and behaviour: the influence of nutrition on mental health. http://www.fhf.org.uk/meetings/inquiry2007/FHF_inquiry_report_diet_and_behaviour.pdfGoogle Scholar
4.Stokes, CS (2008) Foods for the brain – can they make you smarter? Nutr Bull 33, 221223.CrossRefGoogle Scholar
5.van der Beek, EM & Kamphuis, JGH (2008) The potential role of nutritional components in the management of Alzheimer's Disease. Eur J Pharmacol 585, 197207.CrossRefGoogle ScholarPubMed
6.Sofi, F, Cesari, C, Abbate, R et al. (2008) Adherence to Mediterranean diet and health status: meta-analysis. Br Med J 337, a1344.CrossRefGoogle ScholarPubMed
7.Scarmeas, N, Stern, Y, Mayeux, R et al. (2009) Mediterranean diet and mild cognitive impairment. Arch Neurol 66, 216225.Google ScholarPubMed
8.Berthoud, H-R & Morrison, C (2008) The brain, appetite and obesity. Annu Rev Psychol 59, 5592.CrossRefGoogle ScholarPubMed
9.Gao, Q & Horvath, TL (2008) Neuronal control of energy homeostasis. FEBS Lett 582, 132141.CrossRefGoogle ScholarPubMed
10.Dauncey, MJ & Bicknell, RJ (1999) Nutrition and neurodevelopment: mechanisms of developmental dysfunction and disease in later life. Nutr Res Rev 12, 231253.CrossRefGoogle ScholarPubMed
11.Colcombe, SJ, Erickson, KI, Scalf, PE et al. (2006) Aerobic exercise training increases brain volume in aging humans. J Gerontol 61A, 11661170.CrossRefGoogle Scholar
12.Caswell, H & Denny, AR (2008) Food and fitness for life: a British Nutrition Foundation 40th Anniversary Conference. Nutr Bull 33, 145149.CrossRefGoogle Scholar
13.Hillman, CH, Erickson, KI & Kramer, AF (2008) Be smart, exercise your heart: exercise effects on brain and cognition. Nature Rev Neurosci 9, 5865.CrossRefGoogle ScholarPubMed
14.Gómez-Pinilla, F (2008) Brain foods: the effects of nutrients on brain function. Nature 9, 568578.Google ScholarPubMed
15.Brayne, C, Gao, L & Matthews, F (2005) Challenges in the epidemiological investigation of the relationships between physical activity, obesity, diabetes, dementia and depression. Neurobiol Aging 26, Suppl., S6S10.CrossRefGoogle ScholarPubMed
16.Newcomer, JW (2007) Metabolic syndrome and mental illness. Am J Manag Care 13, S170S177.Google ScholarPubMed
17.Dauncey, MJ & White, P (2004) Nutrition and cell communication: Insulin signalling in development, health and disease. Recent Res Dev Nutr 6, 4981.Google Scholar
18.Berridge, MJ (2009) Cell signalling biology. http://www.cellsignallingbiology.org/Google Scholar
19.Appleton, KM, Rogers, PJ & Ness, AR (2008) Is there a role for n-3 long-chain polyunsaturated fatty acids in the regulation of mood and behaviour? A review of the evidence to date from epidemiological studies, clinical studies and intervention trials. Nutr Res Rev 21, 1341.CrossRefGoogle Scholar
20.Dangour, AD & Uauy, R (2008) n-3 long-chain polyunsaturated fatty acids for optimal function during brain development and ageing. Asia Pac J Clin Nutr 7, 185188.Google Scholar
21.Fotuhi, M, Mohassel, P & Yaffe, K (2009) Fish consumption, long-chain omega-3 fatty acids and risk of cognitive decline or Alzheimer's disease: a complex association. Nat Clin Pract Neurol 5, 140152.Google ScholarPubMed
22.Parrott, MD & Greenwood, CE (2007) Dietary influences on cognitive function with aging. From high-fat diets to healthful eating. Ann NY Acad Sci 1114, 389397.CrossRefGoogle ScholarPubMed
23.Innis, SM (2008) Dietary omega 3 fatty acids and the developing brain. Brain Res 1237, 3543.CrossRefGoogle ScholarPubMed
24.Novak, EM, Dyer, RA & Innis, SM (2008) High dietary ω-6 fatty acids contribute to reduced docosahexaenoic acid in the developing brain and inhibit secondary neurite outgrowth. Brain Res 1237, 136145.CrossRefGoogle Scholar
25.Widdowson, EM, Dauncey, MJ, Gairdner, DMT et al. (1975) Body fat of British and Dutch infants. Br Med J 1, 653655.CrossRefGoogle ScholarPubMed
26.Innis, SM (2007) Human milk: maternal dietary lipids and infant development. Proc Nutr Soc 66, 397404.CrossRefGoogle ScholarPubMed
27.Lunn, J & Buttriss, JL (2008) Incorporating omega-3 in the food chain – why, where and how? Nutr Bull 33, 250256.CrossRefGoogle Scholar
28.Morris, MC, Evans, DA, Tangney, CC et al. (2006) Dietary copper and high saturated and trans fat intakes associated with cognitive decline. Arch Neurol 63, 10851088.CrossRefGoogle ScholarPubMed
29.Jones, LC, Beard, JL & Jones, BC (2008) Genetic analysis reveals polygenic influences on iron, copper, and zinc in mouse hippocampus with neurobiological implications. Hippocampus 18, 398410.CrossRefGoogle ScholarPubMed
30.Kambe, T, Weaver, BP & Andrews, GK (2008) The genetics of essential metal homeostasis during development. Genesis 46, 214228.CrossRefGoogle ScholarPubMed
31.Murakami, M & Hirano, T (2008) Intracellular zinc homeostasis and zinc signalling. Cancer Sci 99, 15151522.CrossRefGoogle Scholar
32.Klevay, LM (2008) Alzheimer's disease as copper deficiency. Med Hypotheses 70, 802807.CrossRefGoogle ScholarPubMed
33.Strain, JJ & Cashman, KD (2002) Minerals and Trace Elements. In Introduction to Human Nutrition, pp. 197205 [Gibney, MJ, Vorster, HH and Kok, FJ, editors]. Oxford: Blackwell Science Ltd.Google Scholar
34.Lam, PK, Kritz-Silverstein, D, Barrett-Connor, E et al. (2008) Plasma trace elements and cognitive function in older men and women: The Rancho Bernardo Study. J Nutr Health Aging 12, 2227.CrossRefGoogle ScholarPubMed
35.Rossi, L, Squitti, R, Calabrese, L et al. (2007) Alteration of peripheral markers of copper homeostasis in Alzheimer's disease patients: implications in aetiology and therapy. J Nutr Health Aging 11, 408417.Google ScholarPubMed
36.Stoecker, BJ, Abebe, Y, Hubbs-Tait, L et al. (2009) Zinc status and cognitive function of pregnant women in Southern Ethiopia. Eur J Clin Nutr (Epublication ahead of print version; doi: 10.1038/ejcn.2008.77).CrossRefGoogle ScholarPubMed
37.Rowin, J & Lewis, SL (2005) Copper deficiency myeloneuropathy and pancytopenia secondary to overuse of zinc supplementation. J Neurol Neurosurg Psychiatry 76, 750771.CrossRefGoogle ScholarPubMed
38.Widdowson, EM, Dauncey, MJ & Shaw, JCL (1974) Trace elements in foetal and early postnatal development. Proc Nutr Soc 33, 275284.CrossRefGoogle ScholarPubMed
39.Dauncey, MJ, Shaw, JC & Urman, J (1977) The absorption and retention of magnesium, zinc, and copper by low birth weight infants fed pasteurized human breast milk. Pediatr Res 11, 10331039.CrossRefGoogle ScholarPubMed
40.Lucas, A (1994) Role of nutritional programming in determining adult morbidity. Arch Dis Child 71, 288290.CrossRefGoogle ScholarPubMed
41.Barker, DJ (1995) The fetal origins of adult disease. Proc R Soc Lond B Biol Sci 262, 3743.Google ScholarPubMed
42.Dauncey, MJ (2004) Interações precoces nutrição-hormônios: implicações nas doenças degenerativas de adultos (Early nutrition-hormone interactions: implications for adult degenerative diseases). Nutr Pauta 66, 3035.Google Scholar
43.Symonds, ME, Stephenson, T, Gardner, DS et al. (2007) Long-term effects of nutritional programming of the embryo and fetus: mechanisms and critical windows. Reprod Fertil Dev 19, 5363.CrossRefGoogle ScholarPubMed
44.Schull, WJ & Otake, M (1999) Cognitive function and prenatal exposure to ionizing radiation. Teratology 59, 222226.3.0.CO;2-M>CrossRefGoogle ScholarPubMed
45.de Moraes Barros, MC, Guinsburg, R, Mitsuhiro, SS et al. (2008). Neurocomportamento de recém-nascidos a termo, pequenos para a idade gestacional, filhos de mães adolescentes (Neurobehavior of full-term small for gestational age newborn infants of adolescent mothers). J Pediatr (Rio J) 84, 217223.Google Scholar
46.Larroque, B, Ancel, P-Y, Marret, S et al. (2008) Neurodevelopmental disabilities and special care of 5-year-old children born before 33 weeks of gestation (the EPIPAGE study): a longitudinal cohort study. Lancet 371, 813820.CrossRefGoogle ScholarPubMed
47.Saigal, S & Doyle, LW (2008) An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet 371, 261269.CrossRefGoogle ScholarPubMed
48.Phillips, DIW (2007) Programming of the stress response: a fundamental mechanism underlying the long-term effects of the fetal environment? J Intern Med 261, 453460.CrossRefGoogle ScholarPubMed
49.Hibbeln, JR, Davis, JM, Steer, C et al. (2007) Maternal seafood consumption in pregnancy and neurodevelopmental outcomes in childhood (ALSPAC study): an observational cohort study. Lancet 369, 578585.CrossRefGoogle ScholarPubMed
50.Kramer, MS, Aboud, F, Mironova, E et al. (2008) Breastfeeding and child cognitive development. New evidence from a large randomized trial. Arch Gen Psychiatry 65, 578584.CrossRefGoogle ScholarPubMed
51.Lucas, A, Morley, R, Cole, TJ et al. (1992) Breast milk and subsequent intelligence quotient in children born preterm. Lancet 339, 261264.CrossRefGoogle ScholarPubMed
52.Lodygensky, GA, Seghier, ML, Warfield, SK et al. (2008) Intrauterine growth restriction affects the preterm infant's hippocampus. Pediatr Res 63, 438443.CrossRefGoogle ScholarPubMed
53.Isaacs, EB, Gadian, DG, Sabatini, S et al. (2008) The effect of early human diet on caudate volumes and IQ. Pediatr Res 63, 308314.CrossRefGoogle ScholarPubMed
54.Dauncey, MJ (1990) Activity and energy expenditure. Can J Physiol Pharmacol 68, 1727.CrossRefGoogle ScholarPubMed
55.The International SNP Map Working Group (2004) A map of human genome sequence containing 1·42 million single nucleotide polymorphisms. Nature 409, 928933.Google Scholar
56.Dauncey, MJ & Astley, S (2006) Genômica nutricional: novos estudos sobre as interações entre nutrição e o genoma humano (Nutritional genomics: New studies on interactions between nutrition and the human genome). Nutr Pauta 77, 49.Google Scholar
57.Caspi, A, Williams, B, Kim-Cohen, J et al. (2007) Moderation of breastfeeding effects on the IQ by genetic variation in fatty acid metabolism. Proc Natl Acad Sci U S A 104, 1886018865.CrossRefGoogle ScholarPubMed
58.Aisbitt, B (2007) Obesity – should we blame our genes? Nutr Bull 32, 183186.CrossRefGoogle Scholar
59.Marti, A, Martinez-González, MA & Martinez, JA (2008) Interaction between genes and lifestyle factors on obesity. Proc Nutr Soc 67, 18.CrossRefGoogle ScholarPubMed
60.Loos, RJF, Rankinen, T, Tremblay, A et al. (2005) Melanocortin-4 receptor gene and physical activity in the Québec Family Study. Int J Obesity (Lond) 29, 420428.CrossRefGoogle ScholarPubMed
61.Loos, RJF, Lindgren, CM, Li, S et al. (2008) Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nature Genet 40, 768775.CrossRefGoogle ScholarPubMed
62.Catania, A (2008) Neuroprotective actions of melanocortins: a therapeutic opportunity. Trends Neurosci 31, 353360.CrossRefGoogle ScholarPubMed
63.Redon, R, Ishikawa, S, Fitch, KR et al. (2006) Global variation in copy number in the human genome. Nature 444, 444454.CrossRefGoogle ScholarPubMed
64.Stranger, BE, Forrest, MS, Dunning, M et al. (2007) Relative impact of nucleotide and copy number variation on gene expression phenotypes. Science 315, 848853.CrossRefGoogle ScholarPubMed
65.Burdge, GC, Hanson, MA, Slater-Jefferies, JL et al. (2007). Epigenetic regulation of transcription: A mechanism for inducing variations in phenotype (fetal programming) by differences in nutrition during early life? Br J Nutr 97, 10361046.CrossRefGoogle ScholarPubMed
66.Waterland, RA & Michels, KB (2007) Epigenetic epidemiology of the developmental origins hypothesis. Annu Rev Nutr 27, 363388.CrossRefGoogle ScholarPubMed
67.Tsankova, N, Renthal, W, Kumar, A et al. (2007) Epigenetic regulation in psychiatric disorders. Nature Rev Neurosci 8, 355367.CrossRefGoogle ScholarPubMed
68.Dauncey, MJ, White, P, Burton, KA et al. (2001) Nutrition–hormone receptor–gene interactions: implications for development and disease. Proc Nutr Soc 60, 6372.CrossRefGoogle ScholarPubMed
69.Bünger, M, Hooiveld, GJEJ, Kersten, S et al. (2007) Exploration of PPAR functions by microarray technology – A paradigm for nutrigenomics. Biochim Biophys Acta 1771, 10461064.CrossRefGoogle ScholarPubMed
70.Bernardo, A & Minghetti, L (2008) Regulation of glial cell functions by PPAR-γ natural and synthetic agonists. PPAR Research 2008, 864140; doi:10.1155/2008/864140.CrossRefGoogle ScholarPubMed
71.Cotman, CW, Berchtold, NC & Christie, L-A (2007) Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci 30, 464472.CrossRefGoogle Scholar
72.Wu, A, Ying, Z & Gómez-Pinilla, F (2008) Docosahexaenoic acid dietary supplementation enhances the effects of exercise on synaptic plasticity and cognition. Neuroscience 155, 751759.CrossRefGoogle ScholarPubMed
73.Kramer, AF & Erickson, KI (2007) Capitalizing on cortical plasticity: influence of physical activity on cognition and brain function. Trends Cogn Sci 11, 342348.CrossRefGoogle ScholarPubMed
74.Emes, RD, Pocklington, AJ, Anderson, CNG et al. (2008) Evolutionary expansion and anatomical specialization of synapse proteome complexity. Nature Neurosci 11, 799806.CrossRefGoogle ScholarPubMed
75.Toni, N, Laplagne, DA, Zhao, C et al. (2008) Neurons born in the adult dentate gyrus form functional synapses with target cells. Nature Neurosci 11, 901907.CrossRefGoogle ScholarPubMed
76.Stranahan, AM, Arumugam, TV et al. (2008) Diabetes impairs hippocampal function through glucocorticoid-mediated effects on new and mature neurons. Nature Neurosci 11, 309317.CrossRefGoogle ScholarPubMed
77.Roberts, CJ (2008) The effects of stress on food choice, mood and bodyweight in health women. Nutr Bull 33, 3339.CrossRefGoogle Scholar
78.Oei, NY, Everaerd, WT, Elzinga, BM et al. (2006) Psychosocial stress impairs working memory at high loads: an association with cortisol levels and memory retrieval. Stress 9, 133141.CrossRefGoogle ScholarPubMed
79.MacLullich, AM, Deary, IJ, Starr, JM et al. (2005) Plasma cortisol levels, brain volumes and cognition in healthy elderly men. Psychoneuroendocrinology 30, 505515.CrossRefGoogle ScholarPubMed
80.Elgh, E, Lindqvist Astot, A, Fagerlund, M et al. (2006) Cognitive dysfunction, hippocampal atrophy and glucocorticoid feedback in Alzheimer's disease. Biol Psychiatry 59, 155161.CrossRefGoogle ScholarPubMed
81.Fields, RD (2008) White matter in learning, cognition and psychiatric disorders. Trends Neurosci 31, 361370.CrossRefGoogle ScholarPubMed
82.Giedd, JN (2004) Structural magnetic resonance imaging of the adolescent brain. Ann N Y Acad Sci 1021, 7785.CrossRefGoogle ScholarPubMed
83.Als, H, Duffy, FH, McAnulty, GB et al. (2004) Early experience alters brain function and structure. Pediatrics 113, 846857.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Outline of mechanisms linking nutrition to brain function and mental health. Multiple cell signalling systems and neural pathways mediate the actions of nutrition on cognition and mental health. Neurotrophic and neuroendocrine factors play key roles in this response. For example, energy balance and n-3 fatty acids act via brain-derived neurotrophic factor (BDNF) and insulin-like growth factor-1 (IGF-1) to alter expression of numerous genes involved in neuronal function, plasticity and neurogenesis. →, ←, Examples of the many factors that modulate the actions of nutrition on brain function.