The cognitive reserve hypothesis explains the disparity between clinical and pathological phenotypes and why, in two individuals with the same extent of neuropathology, one may be demented while the other remains cognitively intact. We examined the balance between brain magnetic resonance imaging measures of the two most common pathologies associated with brain ageing, cerebrovascular disease and Alzheimer's disease, and parameters of cerebral reserve in well-characterized participants born in 1936, for whom childhood intelligence is known. Brain magnetic resonance imaging was carried out at 1.5T using fluid attenuation inversion recovery and T(1)-weighted volumetric sequences in 249 participants. Cerebrovascular disease was quantified by measuring brain white matter hyperintensities on fluid attenuation inversion recovery images using Scheltens' scale and Alzheimer's disease was measured from volumetric data using FreeSurfer to extract whole brain volume and hippocampal volumes in turn. The effect of these measures of brain burden on life-long cognitive ageing from the age of 11 to 68 years was compared with the effect of educational attainment and occupational grade using structural equation modelling. Complete brain burden and reserve data were available in 224 participants. We found that educational attainment, but not occupation, has a measurable and positive effect, with a standardized regression weight of +0.23, on late life cognitive ability in people without cognitive impairment aged 68 years, allowing for the influence of childhood intelligence and the two most common subclinical brain pathological burdens in the ageing brain. In addition, we demonstrate that the magnitude of the contribution of education is greater than the negative impact of either neuropathological burden alone, with standardized regression weights of -0.14 for white matter hyperintensities and -0.20 for hippocampal atrophy. This study illustrates how education counteracts the deleterious effects of cerebrovascular disease and Alzheimer's disease and highlights the importance of quantifying cognitive reserve in dementia research.

With its many proposed metabolic roles, glutamine would seem to have major potential in normal animal production systems as well as during situations involving adverse challenges. In practice, however, responses to glutamine supplementation have been inconsistent. Thus, during lactation and growth studies in ruminants, both positive and null effects on production responses have been reported. Similarly, therapeutic responses to glutamine supplementation during various digestive tract disorders have been inconsistent in both pigs and ruminants. This is despite a proven involvement in the nucleic acid biosynthesis necessary to support cell proliferation. In sheep, at least, glutamine may exert a protective effect against hepatic amino acid (AA) oxidation, particularly for methionine. This may offer anabolic potential because methionine is the first limiting AA in a number of animal feedstuffs. Glutamine is also important in control of metabolic acidosis, but, in contrast to rodents, the main site of production seems to be extra-hepatic. In the immune system, while lymphocyte proliferation is glutamine-dependent, intracellular concentrations are low (in contrast to other tissues, such as muscle and liver). Instead, glutamate is accumulated, but the majority of this (approximately 65%) is derived in vivo from plasma glutamine. In sheep, endotoxin challenge elevates the plasma flux of glutamine, with a corresponding decrease in plasma concentration. At the same time, both the glutamate accumulation and fractional rate of protein synthesis within lymphocytes are enhanced. These lymphocyte responses, however, are not altered by an AA supplement that contains glutamine. Overall, although glutamine obviously plays important metabolic roles within the body, supplementation does not appear to provide consistent beneficial or therapeutic effects, except during certain catabolic situations. Glutamine availability, therefore, does not seem to be a limitation in many challenge situations. Rather, glutamine may signal alterations in nutrient demands among organs and a better understanding of this role may increase understanding of where modulation of glutamine status would be beneficial.

The importance of folic acid and the methionine cycle in fetal development is well recognised even though the mechanism has not been established. Since the cycle is active in the maternal liver, poor folate status may modify hepatic metabolism. Pregnant rats were fed diets deficient in folic acid ( -F) or in three key methyl donors, folic acid, choline and methionine (-FLMLC) and the maternal liver was analysed on day 21 of gestation. Two-dimensional gel electrophoresis of soluble proteins identified differentially abundant proteins, which could be allocated into nine functional groups. Five involved in metabolic processes, namely, folate/methionine cycle, tyrosine metabolism, protein metabolism, energy metabolism and lipid metabolism, and three in cellular processes, namely, endoplasmic reticulum function, bile production and antioxidant defence. The mRNA for sterol regulatory element-binding protein-1c and acetyl-CoA carboxylase-1 (fatty acid synthesis) were decreased by both -F and -FLMLC diets. The mRNA for PPARa and PPARg and carnitine palmitoyl transferase (fatty acid oxidation) were increased in the animals fed the -FLMLC diets. Changes in the abundance of proteins associated with intracellular lipid transport suggest that folate deficiency interferes with lipid export. Reduced fatty acid synthesis appeared to prevent steatosis in animals fed the -F diet. Even with increased oxidation, TAG concentrations were approximately three-fold higher in animals fed the -FLMLC diet and were associated with an increase in the relative abundance of proteins associated with oxidative stress. Fetal development may be indirectly affected by these changes in hepatic lipid metabolism.

Beyond the short-term effects on fertility, there is increasing evidence that obesity or the consumption of an inappropriate diet by the mother during pregnancy adversely affects the long-term health of her offspring. PPAR and RXR isotypes are widely expressed in reproductive tissues and in the developing fetus. Through their interactions with fatty acids, they may mediate adaptive responses to the changes in the maternal diet. In the maturing follicle, PPAR-γ has an important role in the granulosa cells that surround the maturing oocyte. After fertilisation, PPAR-γ and PPAR-β/δ are essential regulators of placentation and the subsequent development of key metabolic tissues such as skeletal muscle and adipose cells. Activation of PPAR-γ and PPAR-β/δ during fetal development has the potential to modify the growth and development of these tissues. PPAR-α is expressed at low levels in the fetal liver, however, this expression may be important, as changes in the methylation of DNA in its promoter region are reported to take place during this period of development. This epigenetic modification then programmes subsequent expression. These findings suggest that two separate PPAR-dependent mechanisms may be involved in the fetal adaptations to the maternal diet, one, mediated by PPAR-γ and PPAR-β/δ, regulating cell growth and differentiation; and another adapting long-term lipid metabolism via epigenetic changes in PPAR-α to optimise postnatal survival.

Brain morphology and cognitive ability change with age. Gray and white matter volumes decrease markedly by the 7th decade of life when cognitive decreases first become readily detectable. As a consequence, the shape complexity of the cortical mantle may also change. The purposes of this study are to examine changes over a five year period in brain structural complexity in late life, and to investigate cognitive correlates of any changes. Brain magnetic resonance images at 1.5 Tesla were acquired from the Aberdeen 1936 Birth Cohort at about ages 68 years (243 participants) and 73 years (148 participants returned). Measures of brain complexity were extracted using Fractal Dimension (FD) and calculated using the box-counting method. White matter complexity, brain volumes and cognitive performance were measured at both 68 and 73 years. Childhood ability was measured at age 11 using the Moray House Test. FD and brain volume decrease significantly from age 68 to 73 years. Using a multilevel linear modeling approach, we conclude that individual decreases in late life white matter complexity are not associated with differences in executive function but are linked to information processing speed, auditory-verbal learning, and reasoning in specific models-with adjustment for childhood mental ability. A significant association was found after adjustment for age, brain volume and childhood mental ability. Complexity of white matter is associated with higher fluid cognitive ability and, in a longitudinal study, predicts retention of cognitive ability within late life.