Improved spatial learning and memory by perilla diet is correlated with immunoreactivities to neurofilament and α-synuclein in hilus of dentate gyrus
- Jinwoo Lee†1,
- Sunmin Park†1,
- Ju-Young Lee1,
- Yeong Keun Yeo1,
- Jong Sang Kim1 and
- Jinkyu Lim1Email author
© Lee et al.; licensee BioMed Central Ltd. 2012
Received: 17 August 2012
Accepted: 29 November 2012
Published: 5 December 2012
Perilla (Perilla frutescens) oil is very rich in α-linolenic acid, an omega-3 fatty acid. As it is widely reported that omega-3 fatty acid supplementation improves cognitive function in children and adults, feeding rats with perilla diets followed by analysis of proteomic changes in the hippocampus can provide valuable information on the mechanism of learning and memory at the molecular level. To identify proteins playing roles in learning and memory, differentially expressed proteins in the hippocampus of the 5 week old rats fed perilla diets for 3 weeks or 3 months were identified by proteomic analysis and validated by immunological assays.
The perilla diet groups showed improved spatial learning and memory performances in a T-maze test. They also displayed elevated level of 22:6n-3 fatty acid, an omega-3 fatty acid (p<0.05), in the brain compared to the control diet group. Quantitative proteomic analysis using 2-D gels as well as functional annotation grouping with the differentially expressed proteins in the hippocampus showed that those proteins involved in cytoskeleton and transport were the major differentially expressed proteins in the 3-week group, whereas those involved in energy metabolism, neuron projection and apoptosis in addition to cytoskeleton and transport were the major ones in the 3 month group. Differential protein expression in the hippocampus was validated by Western blotting using four selected proteins, known to be involved in synaptic plasticity; AMPA receptor, neurofilament, α-synuclein, and β-soluble NSF attachment protein. Brain sections from the perilla-diet groups showed enhanced immunoreactivities to α-synuclein and neurofilament. Especially, neurofilament immunoreactive cells manifested longer neurite projections in the hilus of dentate gyrus of the perilla-diet groups.
Improved cognitive function upon administration of n-3 fatty acid-rich perilla diet is associated with the differential expression of hippocampal proteins related to cytoskeleton, energy metabolism, transport, neuro-projection, and apoptosis. Particularly, the enhanced immunoreactivities to α-synuclein and neurofilament in the hilus of dentate gyrus suggest that perilla diet supplementation promotes neuronal signaling and alters synaptic plasticity for improved learning and memory.
KeywordsPerilla n-3 fatty acid Cognition Hippocampus Proteome 2-D gel Immunohistochemistry
Memory is the process of storing information from learning, which acquires information about experiences over time. For long term memory generation, protein synthesis is required in the brain . Further transient multiple protein expression as well as constitutive prolonged local increase in protein synthesis in the brain are influenced by learning . Newly synthesized proteins are involved in the growth of new synapses, including both pre- and post-synaptic alterations . As long term memory and synaptic plasticity require new protein synthesis, it has been reported that long term changes in neural circuits as well as long term modification of behavior can be regulated by translational control [2, 4].
Many reports have shown that foods can affect the cognitive processes in the central nervous system, such as, cognitive impairment by Western diet consumption , potential efficacy of cognitive and psychological functioning by vitamins , protection of vulnerable neurons by flavonoids from fruits and berries , reducing the chances of developing cognitive impairment by omega-3 polyunsaturated fatty acid (n-3 PUFA) , etc.
It has been known that dietary omega-3 fatty acids improve memory and learning processes, and also affect gene expression in the brain [9–12]. Previous studies have shown that PUFA-enriched diets significantly alter the mRNA expression levels of several genes in central nervous tissue, and these effects might be related to the (n-3)/(n-6) balance of polyenoic fatty acids in the cell membrane. Modern diets enriched in saturated fatty acids and simple carbohydrates are often deficient in omega-3 fatty acids, which are essential fatty acids and must be obtained through dietary sources.
Perilla (P. frutescens) is a good source of omega-3 fatty acids (over 50% total fatty acid)  which are essential fatty acids that can be converted to docosahexanoic acid (DHA) in the liver and the developing brain, and contains one of the highest contents of omega-3 fatty acid among edible plant seeds .
In this study, 5 week old rats fed with either a perilla oil- or corn oil-based diet for 3 weeks or 3 months, after which the cognitive functions of rats and protein profiles in the hippocampus were determined. The brain proteome of rats with improved spatial cognition induced by perilla-diet intake was compared with that of rats fed with a regular diet. Here, we report the significantly altered expression of cognition-associated proteins in the brain upon perilla diet-intake. Differential expression of the proteins was confirmed by Western blotting analysis and immunohistochemistry. Our findings indicate that n-3 fatty acid supplementation could alter synaptic plasticity in learning and memory performance by generating new hippocampal neural membrane structures as well as by inducing specific protein expression.
Improvement of spatial learning and memory by perilla diets
Along the same line, rats fed perilla- or perilla oil-diet for 3 months also showed significant improvements in spatial cognitive function (1.8 ± 0.42 or 2.1 ± 0.32 trials, respectively), whereas the control diet group took 2.6 ± 0.52 trials. These data show significant differences between the control group and perilla- and perilla oil-diet groups with p-values of 0.0014 and 0.0197, respectively.
Fatty acid composition in the brain
Statistical analysis of the results showed significant increase in 22:6n-3 fatty acids in the brain of perilla-diet fed rats after both 3 weeks and 3 months. Similar results were reported for rats fed n-3 fatty acids or perilla oil [10, 12]. However, in our study, 18:3 fatty acid, which is the major fatty acid component of perilla, could not be detected in either the control or perilla-diet groups. Based on these results, we concluded that perilla-diet changed the fatty acid composition in the brain, consequently improving cognitive functions by altering the protein profile.
Proteome profiles on 2-D gel and image analysis
Differentially expressed proteins in the hippocampus of rats fed perilla diets for 3 weeks
Protein disulfide-isomerase A3 precursor
Complement component 1Q-binding protein
T-complex protein1 subunit alpha
14-3-3 protein zeta/delta
Uncharacterized protein KIAA0082 homolog
Serum albumin precursor
Elongation factor Tu, mitochondrial precursor
Rab GDP dissociation inhibitor beta
Isocitrate dehydrogenase NAD] subunit alpha
Homer protein homolog 1
Tubulin alpha-1B chain
Protein disulfide-isomerase A3 precursor
Centromere protein U
Neurofilament medium polypeptide
Kinesin heavy chain isoform 5A
Alpha-soluble NSF attachment protein
Cytochrome c oxidase subunit 5B
Heat shock cognate 71 kDa protein
Beta-soluble NSF attachment protein
Actin-related protein 3
V-type proton ATPase subunit B, brain isoform
Prostaglandin E synthase 3
Serine/threonine-protein phosphatase 2A
S-phase kinase-associated protein 1
Differentially expressed proteins in the hippocampus of rats fed perilla-diets for 3 months
14-3-3 protein epsilon
Heat shock cognate 71 kDa protein
ATP synthase subunit beta, mitochondrial
78 kDa glucose-regulated protein
Neurofilament medium polypeptide
Beta-soluble NSF attachment protein
Heat shock cognate 71 kDa protein
Transitional endoplasmic reticulum ATPase
Platelet-activating factor acetylhydrolase IB subunit beta
Malate dehydrogenase, cytoplasmic
Actin-related protein 3
Nucleoside diphosphate kinase A
Protein disulfide-isomerase A3
Dihydropyrimidinase-related protein 2
Glycogen phosphorylase, brain form
Functional annotation clustering of the proteins differentially expressed in the hippocampus of rats fed perilla-diets
Number of proteins
regulation of apoptosis
20 major proteins
neurofilament cytoskeleton organization
regulation of axonogenesis
Western blot analysis
To verify the results of differential protein expressions in the brain upon perilla-diet intake, Western blotting analyses using antibodies against the four selected proteins were performed. Selection of protein was carried out according to the availability and specificity of the antibodies, reproducibility and fold differences of the proteomic results, and involvement of the proteins in synaptic plasticity.
Improved spatial learning and memory are associated with increased immunoreactivity to α-synuclein and neurofilament in dentate gyrus
Contrary to the results of the proteomic (Table 1) and the Western blotting analyses (Figure 3) of the hippocampus, no significant differences in neurofilament M were detected between the two groups in terms of immunostaining intensitied (quantified as intensity of immunostained cells/mm2 dentate gyrus: control=12.0961; perilla=12.2860; perilla oil=12.2899, Figure 4C) in the dentate gyrus. However, cells stained by the anti-neurofilament M antibody showed different cell morphologies. Immunoreactive cells in the hilus of dentate gyrus of the control group showed less neurite projections compared to cells of the perilla-diet groups (Figure 4). To observe the projections, high magnification photomicrographs (representative images shown in (Figure 4C)) were taken, and the projections are indicated with arrows. The relative length of the projections measured as described in the Methods (Figure 5C) significantly increased in the perilla-diet groups, suggesting enhanced neuron projections in the dentate gyrus upon supplementation of perilla- or perilla oil-diet.
As synapses are labile and plastic structures, any micro-environmental changes in the brain can alter the number and structural configurations of existing synapses. Changes in neurological signaling by alterations of the gene expression profiles and lipid composition in the synaptic membrane can modulate cognitive function in the brain [18, 19]. Thus, the goals of this study were to analyze proteomic changes in the brain upon supplementation of α-linolenic acid, an n-3 fatty acid, rich perilla, or perilla oil as well as to identify proteins closely related to the cognitive function.
Short term (for 3 weeks) feeding of 18:3n-3 fatty acid-rich perilla-diets to rats significantly improved spatial learning memory (Figure 1), changed the level of 22:6n-3 fatty acid, DHA, in the brain (Figure 2 and Additional file 1), and altered proteome profiles compared to the corn-oil based control diet group (Tables 1 and 2). These changes were also observed in the rat groups fed perilla-diets long term (for 3 months). From the proteomic analysis, we found that the differentially expressed proteins in the hippocampus of rats fed perilla-diets for 3 weeks were mainly annotated into several functional groups, including cytoskeleton and transport, whereas the major functional groups of those proteins from the 3 month groups were energy metabolism, neuron projection and apoptosis in addition to transport and cytoskeleton (Table 3). The annotation grouping in this study shows that the changes in fatty acid composition in the membrane of the brain of rats fed n-3 fatty acid rich perilla-diets altered the expression profiles of hippocampal proteins, including cytoskeleton and energy metabolism proteins, hereby affecting neurogenesis and synaptic plasticity. Further, changes in the protein expression profile grew more complex as the animals became older, suggesting that there are common and specific pathways for cognition in response to various stimuli, and the pathways involved in cognitive function were much more complicated for the mature brain than for the young one. Previously, we demonstrated that estrogen depravation in rats by ovariectomy results in alleviated spatial learning and memory in a T-maze test, and we observed significant proteomic changes in energy metabolism, cytoskeleton, and anti-oxidation . These results indicate that cytoskeleton as a common ground in conjunction with other proteins from different functional groups, improves cognition through various changes in synaptic plasticity.
To understand how the differentially expressed proteins are involved in synaptic plasticity, and based on the fold differences in 2-D gel electrophoresis, we selected four proteins for verification and functional analysis of the proteomic data. Antibodies against AMPA receptor, neurofilament, a-synuclein, and β-soluble NSF attachment protein were used for Western blotting and immunohistochemistry analysis.
Firstly, Western blotting analysis using antibodies against the selected proteins were performed (Figure 3). Although AMPA receptor could not be detected by 2-D gel electrophoresis and its differential expression in the hippocampus was not clear, it was selected as a positive control since the receptor subunits are essential for long term potentiation induction and maintenance  and play important roles in spatial learning and memory . Using anti-AMPA antibody, rats fed perilla-diets for 3 weeks or 3 months showed elevated AMPA receptor expression in the hippocampus, indicating that, together with the results from the T-maze test, n-3 fatty acid rich perilla-diets improved cognitive functions. Among the selected differentially expressed proteins in Tables 1 and 2, α-synuclein and neurofilament showed significantly increased expression, whereas β-soluble NFS attachment protein underwent slight changes in expression between the control group and perilla-diet groups in Western blotting analysis (Figure 3B). Further, the up-regulated proteins in the 2-D gel analysis showed higher expression in the Western blotting analysis. Interestingly, the perilla-diet group always showed lower protein expression than the perilla oil-diet group. This could be due to the higher availability of n-3 fatty acids in the digestive tract in the perilla oil group compared to perilla group (Figure 2). Oils in perilla seeds should be less available to the digestive enzyme system and thus less miscible and less absorptive in the intestine compared to the extracted perilla oil.
Secondly, using brain sections and antibodies whose target proteins were the most differentially expressed in the Western blotting analysis, we performed immunohistochemistry to examine where the proteins were expressed in the hippocampus as well as any changes in cell morphology. In addition, the specificity and reactivity of the available antibodies to the paraffin sections were considered.
α-Synuclein gene, which encodes a 140-amino-acid protein, is a key player in neurodegenerative diseases. The fibrillar β-sheet aggregation of α-synuclein is the major constituents of Lewy bodies and Lewy neurites in the pathogenesis of Parkinson disease . However, in comparison to its identified roles in neuropathogenesis, the normal physiological function of α-synuclein in neurogenesis is not well understood. As a presynaptic protein, α-synuclein, is located in the membrane, interacts with tubulins, is enriched in presynaptic termini, and is involved in microtubule transport and neurotransmitter release [22–24]. Mice lacking α-synuclein gene show normal long-term potentiation (LPT) of glutamatergic synapses in the hippocampus, suggesting that α-synuclein is not essential for LTP in the hippocampus . Nevertherless, the modulation of α-synuclein gene expression in transgenic mice alters hippocampal neurogenesis and synaptic plasticity in the dentate gyrus, suggesting that the protein might have a relationship with learning and memory [25, 26]. Interestingly, it was reported that an increasing concentration of DHA in the membrane of the brain induces aggregation and chemical modification of α-synuclein in vitro . Regarding the fact that the perilla-diet groups showed elevated DHA levels in the brain (Figure 2 and Additional file 1), n-3 fatty acid converted to DHA could modulate the redistribution of α-synuclein in the hippocampal presynapse for synaptic plasticity and improved cognitive function. This result supports the previous finding that the mRNA level of α-synuclein was elevated upon n-3 fatty acid treatment to rats for 3 weeks .
Neurofilament medium molecular weight protein (NF-M) is a neuron-specific intermediate filament protein that heteropolymerizes with other immunologically distinct neurofilaments, NF-L and NF-H, and constitutes a major part of the neuronal cytoskeleton . The three different NF proteins form filaments at different stoichiometries under different physiological conditions, and the resulting sidearm structures of the C-termini of the NF proteins along the core fiber can interact with different cytoskeletal components to establish axonal cytoarchitecture . Structures of the sidearms, which can be altered by NF stoichiometry, influence axonal transport and determines axonal caliber, which affects the conduction velocity of neurons. Therefore, alteration in the NF stoichiometry can contribute to neurodegenerative diseases  as well as other neurological functions. Up-regulated NF-M protein in the hippocampus of rats fed perilla-diets (Figure 3) can alter the neuronal cell morphology in the hilus of dentate gyrus, a neurogenic area (Figure 4C and 5C), thereby facilitating the conduction velocity of neurons to improve learning and memory. Moreover, the up-regulation of neurofilaments in the hilus of dentate gyrus facilitated neurite outgrowth in the perilla-diet groups, suggesting enhanced neurogenesis associated with improved spatial memory performance .
This study shows that improved spatial learning and memory upon supplementation of n-3 fatty acid-rich perilla-diets is associated with differential expression of proteins in the hippocampus of rats. The proteins can be grouped into several functions, including cytoskeleton, energy metabolism, transport, neurogenesis, and apoptosis. Functional validation of the proteomic changes by immunohistochemical study using antibodies against neurofilament and α-synuclein showed differential immunoreactivities in the hilus of dentate gyrus, a neurogenesis center of the brain. These results indicate that improved cognitive function by supplementation with dietary α-linolenic acid from perilla induces changes in membrane fatty acid composition, especially, DHA, as well as in the immunoreactivity in a neurogenesis region of the hippocampus. Together, these changes culminate in alteration of synaptic plasticity.
Thirty 4-week old Sprague–Dawley male rats (Hyochang Science, Daegu, Korea), weighing 130–150 g were housed at 23°C and 60% humidity with ad libitum access to food and water under a 12/12-h light/dark cycle. After 1 week, the rats were divided randomly and equally into three groups and fed diets adjusted with the lipid contents of 7% with corn oil, perilla oil and powdered perilla seed, respectively, based on the AIN-93G formulation (Additional file 3). The rats were grown for 3 weeks or 3 months until the behavioral tests and brain proteome analyses. All animal procedures were in compliance with guidelines of Kyungpook National University (KNU) Animal Care and Use Committee.
The T-maze was constructed according to the measurements provided by Gerlai . After a variable inter-trial interval in the goal box (15 sec on average), each rat was placed in the start box for the next trial. The pre-training session continued until the rat made its first correct avoidance response. For 2 weeks, the rats were trained until they made five correct avoidance responses in six consecutive training trials (acquisition session). On the last day of the second week, the actual test was conducted, after which a reversal session was performed with the correct goal box located opposite to the one used during acquisition. The measures included the latency to reach the correct goal box and the number of trials prior to correct avoidance.
Protein sample preparation and 2-DE
Brain tissues from 7 individual brains per group were extracted after perfusion with ice-cold PBS and immediately stored at −80°C. For protein preparation, tissues were ground in liquid nitrogen and homogenized in lysis buffer containing 7 M urea, 2 M thiourea, 4% CHAPS, 1 M DTT and a mixture of protease inhibitors (Complete-Mini EDTA-Free, Roche, Indianapolis, USA), followed by sonication 20 times. The protein samples in lysis buffer were directly applied to immobilized pH gradient (IPG) strips (pH 3–10 and 4–7, 17 cm; Bio-Rad, Herculus, CA USA), and then separated on second dimensional SDS-PAGE. The gels were stained using a CBB R-250 method for visualization. The protein profiles on the gels were digitized by reflector mode scanning using an Epson Perfection V700 scanner (Nagano, Japan). Image analysis software, PDQuest v7.3 (BioRad), was used to compare the images and detect protein spots whose expression levels were significantly increased or decreased compared to control.
Mass spectrometry analysis, protein identification, and bioinformatics
Protein spots of interest on gels were manually excised, washed with deionized water, and destained using 50 mM ammonium bicarbonate/acetonitrile (6:4, v/v) with vigorous shaking. Digestion was carried out by adding sequencing grade modified trypsin (Promega, Madison, WI, USA) onto the dried gel pieces, followed by incubation overnight at 37°C. The peptides were then extracted with extraction buffer (60% ACN in water and 0.1% TFA), and dried with the aid of a vacuum drier. From the concentrated peptide extract, 1 μl was taken and mixed with 1 μl of matrix solution (10% CHCA in 50% methanol and 0.1% TFA containing external standards such as bradykinin, angiotensin and neurotensin) on a target MALDI plate. The acquired mass spectra were analyzed by Mascot from Matrix Science ( http://www.matrixscience.com) and MS-Fit from Protein Prospector ( http://prospector.ucsf.edu/). Functional analysis of the differentially expressed proteins was carried out by searching the databases using the Uniprot KB ( http://www.ebi.ac.uk/uniprot/) searching tool, and the identified proteins were functionally annotated using an annotation search engine, DAVID Bioinformatics Resources 6.7 (National Institute of Allergy and Infectious Diseases (NIAID), NIH http://david.abcc.ncifcrf.gov/), an integrated knowledge base and analytic tools.
Immunological analysis and staining
Proteins extracted from brain tissues were separated by SDS-PAGE and transferred to a PVDF membrane (Millipore, Billerica, MA, USA) for Western blotting analysis. After blocking the PVDF membrane with BSA, specific monoclonal primary antibodies (Cell Signaling, Danvers, MA, USA) against the differentially expressed proteins selected from the image analysis were properly diluted in 3% BSA with 0.1% Tween 20 in PBS and incubated with the membrane for 4 hr at 4°C. Following this, anti-mouse secondary antibody conjugated to horse radish peroxidase (Sigma-Aldrich, St. Louis, MO, USA) was diluted in 0.1% Tween 20 in PBS and incubated with the membrane for 1 hr at RT. Decorated bands were scanned using the LAS-3000 scanner (Fujifilm, Tokyo, Japan) after extensive washing with 0.1% Tween 20 in PBS and chemiluminescence staining (SuperSignal Pico-chemiluminescent Substrate, Pierce, IN).
Immunohistochemical staining of serial sagittal sections (4 μm) of paraffin-embedded brain tissues was performed using a Vectastatin ABC kit with the biotin/avidin/peroxidase system, including 3,3’-diaminobenzidine (DAB) as a chromogen and Hematoxylin as a counter stain (Vector, Burlingame, CA) by following the suggested manufacturer’s protocol. Specifically, paraformaldehyde-fixed and paraffin-embedded slide-mount tissue sections using 3 brains from each group were heated in boiling citrate-based antigen unmasking solution for 1 min for better antigen retrieval by the primary antibodies. Section slices were then incubated overnight with primary antibody in PBS containing 2% BSA and 2% normal goat serum followed by secondary antibodies coupled to horse radish peroxidase. The numbers of stained cells in the 4 well stained high magnification fields (400x), which were taken by using a H550L microscope and DS-Fi1c digital camera (Nikon, Tokyo, Japan), were counted using i-Solution (ver. 7.5; IMT i-Solution, Coquitlam, BC, Canada), an image analysis software.
Sections stained with anti-neurofilament antibody were used to measure the length of neurite projections using ImageJ software (NIH). Length data were statistically compared by Student’s t-test.
Composition and concentration of fatty acids in the brain and perilla
Fatty acid analyses in the brain, perilla seeds, and perilla oil were performed on the samples (100 mg wet weight) treated with 4 ml of 0.5 M methanolic sodium hydroxide, and heated at 80°C for 5 min. After cooling, samples were methylated by addition of 3 ml of boron trifluoride in methanol and heated in an 80°C water bath for 5 min. The sample tube was then allowed to cool, after which 2 ml of hexane and 8 ml of distilled water were added. After vortexing for 1 min, the hexane fraction was removed from the tube for gas chromatographic analysis. Fatty acid methyl esters (FAMEs) of lipids from the samples were analyzed using an ACME 6100 gas chromatography system (YL Instrument, Anyang, Korea) equipped with a column (30 m in length, I.D. 0.32 mm wide bore, film thickness of 0.25 μm (J&W Scientific, Folsom, CA)). Fatty acid peaks were determined based on the retention times of the FAME standards. The area of externally added 17:0 standard was used to calculate the concentration of fatty acids by proportional comparison of the peak areas. All samples were run five times, and the values were averaged for all subsequent analyses.
This research was supported by the grant (#2009-0077553) from National Research foundation of Korea (NRF). The authors are indebted to Dr. Kilsoo Kim for his advice in rat brain anatomy.
- Goelet P, Castellucci VF, Schacher S, Kandel ER: The long and the short of long-term memory–a molecular framework. Nature 1986, 322: 419–422. 10.1038/322419a0View ArticleGoogle Scholar
- Costa-Mattioli M, Sossin WS, Klann E, Sonenberg N: Translational control of long-lasting synaptic plasticity and memory. Neuron 2009, 61: 10–26. 10.1016/j.neuron.2008.10.055View ArticleGoogle Scholar
- Jin I, Kandel ER, Hawkins RD: Whereas short-term facilitation is presynaptic, intermediate-term facilitation involves both presynaptic and postsynaptic protein kinases and protein synthesis. Learn Mem 2011, 18: 96–102. 10.1101/lm.1949711View ArticleGoogle Scholar
- Gkogkas C, Sonenberg N, Costa-Mattioli M: Translational control mechanisms in long-lasting synaptic plasticity and memory. J Biol Chem 2010, 285: 31913–31917. 10.1074/jbc.R110.154476View ArticleGoogle Scholar
- Kanoski SE, Davidson TL: Western diet consumption and cognitive impairment: links to hippocampal dysfunction and obesity. Physiol Behav 2011, 103: 59–68. 10.1016/j.physbeh.2010.12.003View ArticleGoogle Scholar
- Kennedy DO, Haskell CF: Vitamins and cognition: what is the evidence? Drugs 2011, 71: 1957–1971. 10.2165/11594130-000000000-00000View ArticleGoogle Scholar
- Spencer JP: The impact of fruit flavonoids on memory and cognition. Br J Nutr 2010,104(Suppl 3):S40-S47.View ArticleGoogle Scholar
- Karr JE, Alexander JE, Winningham RG: Omega-3 polyunsaturated fatty acids and cognition throughout the lifespan: a review. Nutr Neurosci 2011, 14: 216–225. 10.1179/1476830511Y.0000000012View ArticleGoogle Scholar
- Kitajka K, Puskas LG, Zvara A, Hackler L Jr, Barcelo-Coblijn G, Yeo YK, Farkas T: The role of n-3 polyunsaturated fatty acids in brain: modulation of rat brain gene expression by dietary n-3 fatty acids. Proc Natl Acad Sci U S A 2002, 99: 2619–2624. 10.1073/pnas.042698699View ArticleGoogle Scholar
- Yamamoto N, Saitoh M, Moriuchi A, Nomura M, Okuyama H: Effect of dietary alpha-linolenate/linoleate balance on brain lipid compositions and learning ability of rats. J Lipid Res 1987, 28: 144–151.Google Scholar
- Kitajka K, Sinclair AJ, Weisinger RS, Weisinger HS, Mathai M, Jayasooriya AP, Halver JE, Puskas LG: Effects of dietary omega-3 polyunsaturated fatty acids on brain gene expression. Proc Natl Acad Sci U S A 2004, 101: 10931–10936. 10.1073/pnas.0402342101View ArticleGoogle Scholar
- Barcelo-Coblijn G, Kitajka K, Puskas LG, Hogyes E, Zvara A, Hackler L Jr, Farkas T: Gene expression and molecular composition of phospholipids in rat brain in relation to dietary n-6 to n-3 fatty acid ratio. Biochim Biophys Acta 2003, 1632: 72–79. 10.1016/S1388-1981(03)00064-7View ArticleGoogle Scholar
- Asif M: Health effects of omega-3,6,9 fatty acids: perilla frutescens is a good example of plant oils. Orient Pharm Exp Med 2011, 11: 51–59. 10.1007/s13596-011-0002-xView ArticleGoogle Scholar
- Rao S, Abdel-Reheem M, Bhella R, McCracken C, Hildebrand D: Characteristics of high alpha-linolenic acid accumulation in seed oils. Lipids 2008, 43: 749–755. 10.1007/s11745-008-3207-0View ArticleGoogle Scholar
- Riedel G, Platt B, Micheau J: Glutamate receptor function in learning and memory. Behav Brain Res 2003, 140: 1–47. 10.1016/S0166-4328(02)00272-3View ArticleGoogle Scholar
- Malinow R, Malenka RC: AMPA receptor trafficking and synaptic plasticity. Annu Rev Neurosci 2002, 25: 103–126. 10.1146/annurev.neuro.25.112701.142758View ArticleGoogle Scholar
- Shi L, Adams MM, Linville MC, Newton IG, Forbes ME, Long AB, Riddle DR, Brunso-Bechtold JK: Caloric restriction eliminates the aging-related decline in NMDA and AMPA receptor subunits in the rat hippocampus and induces homeostasis. Exp Neurol 2007, 206: 70–79. 10.1016/j.expneurol.2007.03.026View ArticleGoogle Scholar
- Calder PC: Mechanisms of action of (n-3) fatty acids. J Nutr 2012, 142: 592S-599S. 10.3945/jn.111.155259View ArticleGoogle Scholar
- Bhatia HS, Agrawal R, Sharma S, Huo YX, Ying Z, Gomez-Pinilla F: Omega-3 fatty acid deficiency during brain maturation reduces neuronal and behavioral plasticity in adulthood. PLoS One 2011, 6: e28451. 10.1371/journal.pone.0028451View ArticleGoogle Scholar
- Santos IL, Kim KS, Kim JS, Lim J: Phosphoproteomic analysis of the brain of ovariectomized adult rat. J Appl Biol Chem 2011, 54: 101–107. 10.3839/jabc.2011.018View ArticleGoogle Scholar
- Winner B, Kohl Z, Gage FH: Neurodegenerative disease and adult neurogenesis. Eur J Neurosci 2011, 33: 1139–1151. 10.1111/j.1460-9568.2011.07613.xView ArticleGoogle Scholar
- Abeliovich A, Schmitz Y, Farinas I, Choi-Lundberg D, Ho WH, Castillo PE, Shinsky N, Verdugo JM, Armanini M, Ryan A, et al.: Mice lacking alpha-synuclein display functional deficits in the nigrostriatal dopamine system. Neuron 2000, 25: 239–252. 10.1016/S0896-6273(00)80886-7View ArticleGoogle Scholar
- Alim MA, Hossain MS, Arima K, Takeda K, Izumiyama Y, Nakamura M, Kaji H, Shinoda T, Hisanaga S, Ueda K: Tubulin seeds alpha-synuclein fibril formation. J Biol Chem 2002, 277: 2112–2117. 10.1074/jbc.M102981200View ArticleGoogle Scholar
- Nemani VM, Lu W, Berge V, Nakamura K, Onoa B, Lee MK, Chaudhry FA, Nicoll RA, Edwards RH: Increased expression of alpha-synuclein reduces neurotransmitter release by inhibiting synaptic vesicle reclustering after endocytosis. Neuron 2010, 65: 66–79. 10.1016/j.neuron.2009.12.023View ArticleGoogle Scholar
- Nuber S, Petrasch-Parwez E, Winner B, Winkler J, von Horsten S, Schmidt T, Boy J, Kuhn M, Nguyen HP, Teismann P, Schulz JB, Neumann M, Pichler BJ, Reischl G, Holzmann C, Schmitt I, Bornemann A, Kuhn W, Zimmermann F, Servadio A, Riess O: Neurodegeneration and motor dysfunction in a conditional model of Parkinson's disease. J Neurosci 2008, 28: 2471–2484. 10.1523/JNEUROSCI.3040-07.2008View ArticleGoogle Scholar
- Gureviciene I, Gurevicius K, Tanila H: Aging and alpha-synuclein affect synaptic plasticity in the dentate gyrus. J Neural Transm 2009, 116: 13–22. 10.1007/s00702-008-0149-xView ArticleGoogle Scholar
- De Franceschi G, Frare E, Pivato M, Relini A, Penco A, Greggio E, Bubacco L, Fontana A, de Laureto PP: Structural and morphological characterization of aggregated species of alpha-synuclein induced by docosahexaenoic acid. J Biol Chem 2011, 286: 22262–22274. 10.1074/jbc.M110.202937View ArticleGoogle Scholar
- Al-Chalabi A, Miller CC: Neurofilaments and neurological disease. BioEssays 2003, 25: 346–355. 10.1002/bies.10251View ArticleGoogle Scholar
- Kim S, Chang R, Teunissen C, Gebremichael Y, Petzold A: Neurofilament stoichiometry simulations during neurodegeneration suggest a remarkable self-sufficient and stable in vivo protein structure. J Neurol Sci 2011, 307: 132–138. 10.1016/j.jns.2011.04.023View ArticleGoogle Scholar
- Szaro BG, Strong MJ: Post-transcriptional control of neurofilaments: New roles in development, regeneration and neurodegenerative disease. Trends Neurosci 2010, 33: 27–37. 10.1016/j.tins.2009.10.002View ArticleGoogle Scholar
- Wurtman RJ, Cansev M, Ulus IH: Synapse formation is enhanced by oral administration of uridine and DHA, the circulating precursors of brain phosphatides. J Nutr Health Aging 2009, 13: 189–197. 10.1007/s12603-009-0056-3View ArticleGoogle Scholar
- Gerlai R: A new continuous alternation task in T-maze detects hippocampal dysfunction in mice. A strain comparison and lesion study. Behav Brain Res 1998, 95: 91–101. 10.1016/S0166-4328(97)00214-3View ArticleGoogle Scholar
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