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The effect of APOE genotype on the delivery of DHA to cerebrospinal fluid in Alzheimer’s disease

Alzheimer's Research & Therapy volume 8, Article number: 25 (2016) Cite this article

Abstract

Background

Apolipoprotein E (APOE) ɛ4 and low cerebrospinal fluid (CSF) amyloid-β42 (Aβ42) levels are predictors for developing Alzheimer’s disease (AD). The results of several studies indicate an interaction between docosahexaenoic acid (DHA) consumption and cognitive outcomes by APOE genotype. Our objective in the present study was to examine whether APOE ɛ4 genotype and low CSF Aβ42 levels were associated with reduced delivery of DHA to CSF in the Alzheimer’s Disease Cooperative Study-sponsored DHA clinical trial.

Methods

Phospholipid DHA was assayed in the plasma of 384 participants and CSF of 70 participants at baseline. Forty-four of the 70 participants completed the 18-month follow-up visit after allocation to placebo (n = 15) or DHA (n = 29). Plasma and CSF DHA levels, CSF Aβ42, Tau, and phosphorylated Tau were measured at baseline and after the 18-month intervention. Participants were divided into tertiles based on baseline Aβ42 CSF levels. To assess DHA delivery across the blood-brain barrier, the ratio of CSF to plasma DHA levels was calculated.

Results

At baseline, there were no significant differences between CSF or plasma phospholipid DHA levels by CSF Aβ42 tertiles or ɛ4 status. After 18 months of DHA supplementation, participants at the lowest Aβ42 tertile had significantly lower CSF DHA levels (p = 0.01) and lower CSF-to-plasma DHA ratios (p = 0.05) compared to the other tertiles. Baseline CSF Aβ42 levels were significantly lower in ɛ4 carriers than in ɛ4 noncarriers (p = 0.01). Participants carrying the ɛ4 allele (n = 25) demonstrated a less pronounced increase in CSF DHA level compared with noncarriers (n = 4), with a possible interaction effect between treatment and APOE genotype (p = 0.07).

Conclusions

APOE ɛ4 allele and lower CSF Aβ42 levels were associated with less transport of DHA to CSF. Brain amyloid pathology may limit the delivery of DHA to the brain in AD.

Trial Registration

Clinicaltrials.gov identifier: NCT00440050. Registered on 22 Feb 2007.

Background

Among the genes associated with late-onset Alzheimer’s disease (AD), the gene encoding for apolipoprotein E (APOE) ɛ4 has the strongest correlation with disease onset [1–3]. The ɛ4 isoform is expressed in about 15 % of the general population. However, it is present in about 40 % of patients with AD. Individuals with one ɛ4 allele have a 3- to 4-fold increased propensity toward developing AD, which increases to 12-fold for individuals homozygous for the ɛ4 allele [2]. Furthermore, APOE ɛ4 has a similar effect on age of AD onset, with carriers of the ɛ4 allele developing AD symptoms earlier than the ɛ3 carriers. Conversely, individuals with the ɛ2 allele have a lower risk of developing AD [3].

Docosahexaenoic acid (DHA), an omega-3 polyunsaturated fatty acid (n-3 PUFA) is important for brain health, as humans may not produce enough of it de novo. DHA is required for maintenance of neuronal membranes, amyloid-β (Aβ) clearance, and modulation of inflammation [4]. DHA is involved in a variety of physiological processes, including aging, memory formation, synaptic membrane function, photoreceptor biogenesis and function, and neuroprotection. The levels of plasma DHA correlate with brain DHA content [5], and they are reduced in AD brains [6–8]. Despite a large number of observational studies linking DHA intake to cognitive health [4], randomized controlled trials in which investigators tested the effect of DHA intake on cognitive function presented conflicting results [9–13]. Several studies suggested that carriers and non-carriers of APOE ɛ4 respond differently to DHA supplementation [12, 14–18], with little or no effect of DHA supplementation [12] and no relationship between the omega-3 on erythrocyte membranes with measures of cognition [17, 18] in ɛ4 carriers with cognitive impairment.

DHA crosses the blood-brain barrier after supplementation, but little is known about the factors that regulate its delivery to the brain [19]. A preclinical study in human APOE replacement mice demonstrated reduced delivery of 14C -labeled DHA to the brain in the ɛ4 compared with the ɛ3 and ɛ2 human replacement mice [20]. In a different study, Calon et al. measured cerebral uptake of 14C-DHA in 3xTg-AD mice that are prone to brain amyloid deposition. Those investigators found a 25 % (p < 0.001) decrease of brain transport coefficients of 14C-DHA in this model of AD compared with nontransgenic littermates [21]. To our knowledge, researchers examined the effect of DHA supplementation on cerebrospinal fluid (CSF) levels in humans in only two studies. [12, 22]. In one study by Freund-Levi et al., CSF DHA levels were increased after 6 months supplementation with 2.3 g/day of a combination of n-3 PUFA, but the effect of APOE genotype on CSF delivery of DHA was not assessed. In the other study, a randomized, placebo-controlled clinical trial sponsored by the Alzheimer’s Disease Cooperative Study (ADCS), researchers tested the effect of 2 g/day of DHA supplementation on cognitive function in AD over the course of 18 months, and reported a significant increase in CSF DHA after supplementation [12]. The primary study outcomes were the Alzheimer’s Disease Assessment Scale-Cognition (ADAS-cog) and Clinical Dementia Rating. Both cognitive scores did not improve after DHA supplementation [12]. A preplanned secondary analysis of the ADCS-sponsored trial demonstrated cognitive improvements in both ADAS-cog and the Mini Mental State Examination (MMSE) in non-carriers of the APOE ɛ4 allele. We hypothesized that carrying the APOE ɛ4 allele and cerebral amyloidosis as indexed by lower CSF Aβ42 levels limit the delivery of DHA to the brain. Therefore, we assessed the amount of DHA in CSF after the intervention by APOE ɛ4 genotype and baseline CSF Aβ42 levels in the placebo and treatment arms in this ADCS-sponsored DHA trial.

Methods

Overview

The data were obtained from a completed, randomized, double-blind, placebo-controlled trial that was sponsored by the ADCS, a consortium of academic medical centers and private AD clinics funded by the National Institute on Aging. Fifty-one U.S. centers participated in this trial after obtaining approval from their local institutional review boards.

Individuals with probable AD were eligible if (1) their MMSE score was between 14 and 26, (2) they were medically stable, (3) they consumed on average no more than 200 mg/day of DHA (as assessed by a brief 7-item food frequency questionnaire [23]), and (4) they were not taking DHA or omega-3 fatty-acid supplements. A total of 384 of 402 study trial participants provided plasma for DHA measurements. Participants were randomly allocated to placebo or 2 g of DHA (supplied by DSM Nutritional Products, Columbia, MD, USA) and observed for 18 months. A total of 295 participants completed the trial while taking study medication (DHA group 171, placebo group 124). All participants without contraindications to CSF examination (e.g., anticoagulation) were invited to participate in the CSF study. In these individuals, lumbar puncture was performed the morning after an overnight fast at baseline and 18 months following randomization.

The study drug was an algae-derived DHA (DHASCO oil) obtained from DSM Nutritional Products, administered as four capsules, dosed as 1 g twice per day for a total daily dose of 2 g/day of DHA. DHASCO oil contains approximately 45–55 % DHA by weight and does not contain eicosapentaenoic acid (EPA). The DHA dose was selected on the basis of evidence that plasma levels increase in a dose-dependent manner up to approximately 2 g/day, while at higher DHA doses no further increase in plasma DHA is observed [24]. Placebo (corn/soy oil) capsules were identical in appearance.

In the fatty-acid analysis, plasma phospholipid fatty-acid levels were determined at DSM Nutritional Products using established methods [24] with modifications for CSF analysis. Briefly, plasma total lipids were extracted from 400 μl of plasma using the methods of Folch et al. [25]. The plasma phospholipids were isolated by thin-layer chromatography using 60/40/3 vol/vol/vol hexane/ether/acetic acid on 20 × 20 silica gel 60 plates with 250-μm thickness. CSF total lipids were extracted from 4 ml of CSF, also using the methods of Folch et al. Tricosanoic free fatty acid (23:0) was added to each sample as an internal standard. The plasma phospholipids and CSF total lipids were saponified with 0.5 N methanolic sodium hydroxide, and the fatty acids were converted to methyl esters with 14 % boron trifluoride/methanol at 100 °C for 30 minutes [26]. Fatty-acid methyl esters were analyzed by gas-liquid chromatography using a Hewlett Packard 6890 chromatograph (Agilent Technologies, Santa Clara, CA, USA) equipped with a flame ionization detector. The fatty-acid methyl esters were separated on a 30-m FAMEWAX capillary column (0.25-mm diameter, 0.25-μm coating thickness; Restek, Bellefonte, PA, USA) using hydrogen at a flow rate of 2.1 ml/minute. The chromatographic run parameters included an oven starting temperature of 130 °C that was increased at a rate of 6 °C/minute to 225 °C, where it was held for 20 minutes before being increased to 250 °C at a rate of 15 °C/minute, with a final hold of 5 minutes. The injector and detector temperatures were constant at 220 °C and 230 °C, respectively. Plasma phospholipids were run at a 48:1 split flow, and the CSF total lipids were run at a 20:1 split flow. Peaks were identified by comparison of retention times with external fatty-acid methyl ester standard mixtures obtained from Nu-Chek Prep (Elysian, MN, USA). The fatty-acid profiles were expressed as a percentage of the total fatty acid in micrograms (weight percent). APOE genotype was assessed in the research laboratory. Aβ42 and Tau in the CSF were measured by using a dual-antibody sandwich enzyme-linked immunosorbent assay [27] at the University of Pennsylvania Research Lab.

Statistical analysis

Mean (SD) or median (25th–75th percentile range) values for non-normally distributed data were computed. The study group was divided into tertiles based on CSF Aβ42 levels at baseline. The ratio of CSF to plasma DHA was calculated as an index of DHA transport across the blood-brain barrier. The dependent variables were (1)18 months CSF and plasma phospholipid DHA levels, (2) ratio of CSF to plasma DHA levels at 18 months, and (3) the difference in DHA levels in CSF and plasma phospholipid at baseline and 18 months after supplementation. The independent variables were Aβ group (tertiles), treatment group, APOE genotype, and the interaction between the treatment group and APOE genotype using a linear regression model. Pearson or Spearman correlation tests were used to correlate the variables. Baseline plasma phospholipid and CSF DHA levels by APOE groups were explained by a linear regression model. Linear modeling was also used to explain the relationship of baseline measures of CSF Aβ42 (independent variable) with the 18-month change in CSF DHA (dependent variable); this analysis was adjusted for baseline CSF DHA and APOE genotype. Significance was defined as p < 0.05. The data were analyzed using the program R version 3.2.3.

Results

Plasma (n = 384) and CSF samples (n = 70) from participants in this ADCS trial were assayed for DHA levels at the baseline visit. The 70 participants who consented to lumbar puncture included carriers of ɛ2/ɛ3 (n = 2), ɛ2/ɛ4 (n = 1), ɛ3/ɛ3 (n = 16), ɛ3/ɛ4 (n = 32), and ɛ4/ɛ4 (n = 19). Forty-four of the 70 CSF substudy participants completed the second lumbar puncture at the 18-month visit after allocation to either the placebo (n = 15) or DHA (n = 29) treatment group. Among those allocated to DHA were carriers of ɛ3/ɛ3 (n = 4), ɛ3/ɛ4 (n = 17), and ɛ4/ɛ4 (n = 7), and one participant carried the ɛ2/ɛ4 allele. Baseline levels of plasma phospholipid DHA (n = 384, p = 0.61) and total CSF DHA (n = 70, p = 0.44) did not differ between APOE ɛ4 carriers and noncarriers. The distribution of baseline CSF DHA levels and plasma phospholipid DHA levels, as well as the ratio of CSF to plasma DHA, in all 70 participants is shown in Fig. 1. These findings indicated that plasma phospholipid DHA (p = 0.8) (Fig. 1a) and CSF DHA (p = 0.7) (Fig. 1b) did not differ by APOE genotype at baseline. The ratio of CSF to plasma DHA was significantly different among the APOE genotype groups (p = 0.03 for groupwise comparison) (Fig. 1c), with the largest differences apparent between ɛ2 carriers and ɛ4 homozygotes. However, the significance of this finding is limited by the small number of ɛ2 carriers in this group (n = 3). Baseline CSF and plasma DHA levels were significantly correlated (r = 0.3, p = 0.01); this correlation did not differ by ɛ4 status. Of the 70 participants, 44 had measurements of CSF Aβ42. APOE ɛ4 carriers had lower CSF Aβ42 levels compared with non-carriers (p = 0.01) (Fig. 1d).

Fig. 1
figure 1

Baseline CSF DHA levels by APOE status. The distributions of baseline plasma phospholipid and CSF DHA, as well as the ratio of CSF to plasma DHA, are demonstrated by APOE genotype (n = 70). There were no significant differences in (a) plasma phospholipid or (b) CSF DHA levels by APOE genotype. c The ratio of CSF to plasma DHA by APOE genotype at baseline significantly differed between the APOE genotype groups (p = 0.03 for group comparison). d CSF Aβ42 levels were significantly lower in ɛ4 carriers at baseline (p = 0.01 for group comparison). DHA levels are reported as a percentage by weight. The groups were compared using linear regression with DHA level or CSF-to-plasma DHA ratio as the dependent variable and groups as the covariate.*p < 0.05 for group comparison. Aβ42 amyloid-β42, APOE apolipoprotein E, CSF cerebrospinal fluid, DHA docosahexaenoic acid, PL Phospholipids

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To understand the effect of baseline CSF Aβ42 levels on DHA levels, the study group was divided into CSF Aβ42 tertiles (T1 = Aβ42 levels <147 pg/ml, T2 = Aβ42 levels between 147 and 174 pg/ml, T3 = Aβ42 levels >174 pg/ml). At baseline, plasma phospholipid or CSF DHA did not differ between the groups (Fig. 2a and b). The participants at the lowest tertile of CSF Aβ42 had lower mean CSF-to-plasma DHA ratios than the other two groups; however, this difference did not reach statistical significance (p = 0.15 for three-way group comparison, p = 0.19 for difference between T1 and T2, and p = 0.06 for difference between T1 and T3) (Fig. 2c).

Fig. 2
figure 2

Baseline plasma phospholipid and CSF DHA levels by CSF Aβ42 tertiles. Baseline phospholipid and CSF DHA measurements were compared in three groups of participants based on CSF Aβ42 tertiles at baseline (n = 44, T1 = Aβ42 levels <147 pg/ml, T2 = Aβ42 levels between 147 and 174 pg/ml, and T3 = Aβ42 levels >174 pg/ml). The ratio of CSF to plasma DHA was calculated as an index of DHA transport across the blood-brain barrier (a and b). There was no significant difference in plasma phospholipid of CSF DHA by Aβ42 tertiles at baseline. c A trend was observed for lower baseline CSF to plasma DHA (p = 0.15 for three-way group comparison, p = 0.19 for difference between T1 and T2, and p = 0.06 for difference between T1 and T3) in the lowest tertile of Aβ42. Aβ42 amyloid-β42, CSF cerebrospinal fluid, DHA docosahexaenoic acid

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Plasma phospholipid DHA was assessed in 195 DHA-treated participants at baseline and 18 months following DHA supplementation. Among the 195, 119 carried the ɛ4 allele and 76 were ɛ4 noncarriers. A 300 % increase in plasma phospholipid DHA was observed (from 3.18 weight percentage at baseline to 9.82 weight percentage at 18 months; p < 0.001). CSF DHA was assessed in 44 participants at baseline and 18 months. The increase in plasma DHA level was greater than the increase in CSF DHA. A 38 % increase in DHA CSF levels was observed in participants in the DHA treatment group (2.53 weight percentage at baseline and 3.46 weight percentage at 18 months; p < 0.001). In participants allocated to DHA (n = 29), the change in DHA levels from baseline to 18 months in CSF significantly correlated with the 18-month change in plasma (r = 0.61, p < 0.001).

Participants at the lowest tertile of Aβ42 had significantly lower mean CSF DHA levels after supplementation (p = 0.01 for three-way group comparison, p = 0.01 for difference between T1 and T2, and p = 0.007 for difference between T1 and T3) (Fig. 3a). The differences in CSF DHA levels among the Aβ42 groups at 18 months persisted after adjusting for APOE genotype (p = 0.03 for three-way group comparison). In contrast, there was no significant difference in plasma DHA levels after supplementation by Aβ42 tertiles (Fig. 3b). The ratio of CSF to plasma DHA ratio was significantly lower after 18 months of DHA supplementation in participants at the lowest tertile of Aβ42 (p = 0.054 for three-way group comparison, p = 0.05 for difference between T1 and T2, and p = 0.03 for difference between T1 and T3) (Fig. 3c). When CSF Aβ42 was analyzed as a continuous variable, CSF Aβ42 levels at baseline were associated with the 18-month change in CSF DHA (r = 0.37, p = 0.05) (Fig. 4). This relationship remained significant after we adjusted for baseline DHA levels (p = 0.037) but was attenuated after we excluded the two CSF Aβ42 values greater than 250 pg/ml (r = 0.35, p = 0.07). After adjusting these models for APOE genotype, we found that the relationship of the 18-month change in DHA and baseline Aβ42 levels became less significant (p = 0.1).

Fig. 3
figure 3

Plasma phospholipid and CSF DHA at 18 months. The distribution of phospholipid and CSF DHA measurements at 18 months by baseline CSF Aβ42 tertiles in participants allocated to DHA (n = 29) is illustrated. a There was no significant difference in plasma phospholipid DHA by Aβ42 tertiles after 18 months of DHA. b and c After 18 months of DHA supplementation, there was a significant decrease in CSF DHA levels in participants in the the first Aβ42 tertile (p = 0.01 for three-way group comparison, p = 0.01 for difference between T1 and T2, and p = 0.007 for difference between T1 and T3) and a significantly lower increase in the CSF-to-plasma DHA ratio (p = 0.05 for three-way group comparison, p = 0.05 for difference between T1 and T2, and p = 0.03 for difference between T1 and T3). The groups were compared using a linear regression model. *p < 0.05 for group comparison. Aβ42 amyloid-β42, CSF cerebrospinal fluid, DHA docosahexaenoic acid

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Fig. 4
figure 4

Association of CSF Aβ42 with the change in CSF DHA. Baseline CSF Aβ42 was significantly associated with the change in CSF DHA after supplementation (r = 0.37, p = 0.05). The change in DHA was calculated as the difference between 18-month CSF DHA levels and the levels at baseline. The correlation was obtained using Spearman’s correlation test. Aβ42 amyloid-β42, CSF cerebrospinal fluid, DHA docosahexaenoic acid

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There was a suggestion that APOE ɛ4 status modified the DHA effect on the 18-month change in CSF, but not plasma phospholipid DHA levels. The 18 months, the increase in plasma phospholipid DHA did not differ by APOE ɛ4 allele (p = 0.8). In contrast, a possible interaction between APOE genotype and treatment at the 18-month time point in CSF DHA (p = 0.07) was observed (Fig. 5). In the DHA treatment group, over 18 months, the ɛ4 noncarriers’ DHA levels increased by 68 %, whereas the ɛ4 carriers’ CSF DHA levels increased by 37 % (Table 1). All four ɛ4 noncarriers showed increased CSF DHA levels after allocation to DHA treatment. In contrast, 6 of 25 ɛ4 carriers did not have increased CSF DHA levels after supplementation. Tau and phosphorylated Tau (p-Tau) levels in the CSF did not differ between carriers and noncarriers of the ɛ4 allele. Allocation to DHA treatment did not alter the decline in CSF Aβ42 or the change in Tau or p-Tau compared with placebo. Additional information on CSF DHA, Aβ42, Tau, and p-Tau by treatment group is summarized in Table 1.

Fig. 5
figure 5

Change in CSF DHA by APOE status and treatment arm. The effect of DHA treatment vs. placebo on CSF DHA levels by APOE genotype is illustrated. The increases in DHA levels in the CSF were less pronounced in carriers of the ɛ4 allele. All ɛ4 noncarriers had increased CSF DHA levels after allocation to DHA treatment. In contrast, 6 of the 25 ɛ4 carriers did not increase DHA levels after DHA supplementation. There was a suggestion for an interaction effect between APOE genotype and treatment arm on CSF DHA levels (p = 0.07). The data were modeled using multivariate linear regression with the change in CSF DHA as the dependent variable and APOE and treatment arm as the independent variables. Aβ42 amyloid-β42, APOE apolipoprotein E, CSF cerebrospinal fluid, DHA docosahexaenoic acid

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Table 1 Eighteen-month changes with docosahexaenoic acid or placebo treatment by apolipoprotein E ε4 status on CSF DHA, Aβ42, Tau and p-Tau levels
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DHA treatment changed the percentage of CSF arachidonic acid (AA). We observed a significant decrease in CSF AA in participants assigned to DHA treatment compared with placebo (change in DHA vs. placebo −2.27 vs. −0.64, p = 0.002). The 18-month change in AA did not correlate with the 18-month change in CSF Aβ42 or CSF Tau/p-Tau, and it did not differ by APOE group. A previous study indicated that DHA supplementation was associated with decreases in AA transport to the brain [22]. Brain AA uptake determined by positron emission tomography is increased in people with AD [28], and AA is a precursor for inflammatory mediators [29]. The change in CSF EPA did not differ between the placebo and treatment arms in the present study (p = 0.2). The change in CSF EPA by APOE groups at baseline and after DHA supplementation did not reach statistical significance (p = 0.13). These findings were expected, as the DHA product we used did not contain EPA.

Discussion

The main finding of the ADCS-sponsored DHA trial was that the allocation to DHA treatment did not influence the rate of cognitive decline in patients with dementia [12]. A secondary analysis suggested benefit in ADAS-cog scores in noncarriers of the ɛ4 genotype [12]. We hypothesized that the DHA-associated cognitive improvement in ɛ4 noncarriers could be related to greater CSF DHA delivery. Our hypothesis was based on two recent findings in human ɛ4 allele replacement mice [20] and 3xTg-AD transgenic mouse models with brain amyloid deposition [21] demonstrating less delivery of 14C labeled DHA across the blood-brain barrier compared with ɛ4 non-carriers or littermate controls, respectively. The results of the present analysis suggest that (1) individuals with lower pretreatment CSF Aβ42 (both ɛ4 carriers and ɛ4 non-carriers) had reduced CSF DHA levels after supplementation, and (2) carriers of the ɛ4 allele had less pronounced increases in CSF DHA levels following DHA treatment compared with ɛ4 non-carriers. Therefore, it is possible that the lack of cognitive effect of DHA in this study was a result of poor brain delivery in participants with brain amyloid pathology and in those carrying the APOE ɛ4 allele.

The major limitation of this study was the small number of ɛ4 noncarriers (n = 4). However, the differences in CSF DHA response between carriers and noncarriers of the APOE ɛ4 allele may also be represented by the lower CSF Aβ42 levels observed in ɛ4 carriers. Taken together, our results support the concept that the diminished response in the APOE ɛ4 carriers could be the result of more severe disease with significant brain amyloidosis.

The results of our study suggest an effect of CSF Aβ42 on baseline CSF DHA levels and CSF-to-plasma DHA ratio. We observed 25 % lower CSF-to-plasma DHA ratio between the first and third tertiles of CSF Aβ42. This observation did not reach statistical significance, likely due to the small sample size (Fig. 2c). After the DHA intervention, however, these differences in CSF DHA levels by CSF Aβ42 groups were significant. The advantage of the DHA intervention is that it reduces variation resulting from potential confounders with baseline measurements (such as differences in seafood consumption or supplement use before the study) and provides a uniform dose of DHA supplementation using a controlled study design. The lower CSF-to-plasma DHA ratio in participants with lower CSF Aβ42 levels suggests a defect in DHA transport to the brain in AD.

One potential mechanism for these findings includes activation of phospholipase A2 (PLA2). Upon entry into the brain, DHA is trapped by long-chain fatty-acid coenzyme A synthase activity, thereby facilitating its targeting to specific lipid pools, where it is esterified to phospholipid membranes [30]. In the adult brain, DHA is no longer accreted (accretion refers to accumulation of DHA during development [31]), and plasma DHA replaces brain consumption [32]. DHA is esterified to phospholipids at the sn-2 position and deesterified by PLA2. Brain DHA is highly conserved, but at an energy cost [33]. Upon release by PLA2 activity, DHA is immediately reesterified into brain phospholipids. A decrease in both nonesterified DHA and total DHA in the CSF is observed in mild cognitive impairment and AD, as compared with cognitively healthy participants, and is associated with increased PLA2 activity [34]. PLA2 is a complex family of phospholipases that include calcium-independent phospholipase A2 and calcium-dependent phospholipase A2 (cPLA2). cPLA2 can target DHA, AA, and other lipids (such as plasmalogens). Several lines of evidence suggest that calcium-dependent signaling pathways are dysregulated in the neurons of hAPP (amyloidosis-prone) mice, particularly in the hippocampus [35]. We hypothesize that amyloid pathology induces the activity of cPLA2 [36, 37] in AD brain regions, reducing brain DHA consumption through liberation of free DHA from CSF and brain phospholipids [38]. These changes have significant implications for AD pathology, as DHA is critical in hippocampal neuronal development and synaptic function [39].

The effect of APOE genotype on peripheral DHA metabolism is not clear. One study demonstrated a less pronounced increase in DHA associated with triglyceride or cholesterol ester after 6 weeks of DHA + EPA supplementation in ε4 carriers vs. noncarriers [40]. However, changes in DHA associated with triglyceride-rich particles by APOE genotype were not observed in the SATgenε study [41]. Our results did not reveal that plasma phospholipid DHA levels differed by APOE ɛ4 status at baseline or following DHA supplementation. In a population study with a larger sample size (n = 1135), however, greater fish consumption was associated with greater increases in plasma phospholipid DHA only in ɛ4 noncarriers [42].

There is evidence in several studies other than the ADCS-sponsored DHA trial [12] that the APOE ɛ4 allele can modulate the response to DHA supplementation. In an Alzheimer’s Disease Neuroimaging Initiative study that included cognitively healthy persons, patients with mild cognitive impairment, and patients with AD, the association of fish oil with ADAS-cog and brain volume was observed only in ɛ4-negative patients [16]. In 2005, Huang et al. [17] examined fish oil use in the Cardiovascular Health Cognition Study (n = 2233) among participants who developed dementia after several years of follow-up. Their study demonstrated that APOE status was an important determinant in modulating the effect of n-3 intake on cognitive status, with only ɛ4 non-carriers being responsive to n-3 intake. In another longitudinal study, Whalley et al. reported a stronger association of red blood cell n-3 index with cognitive scores in ɛ4 non-carriers compared with carriers [18]. In contrast, three studies of participants without AD (Bordeaux sample of the three-city study [1999–2006, n = 1228] [43], Chicago Health and Aging Project [1993–2000, n = 818] [44], and the Memory and Aging Project clinical neuropathological cohort study [2004–2013, n = 286] [45]) suggest cognitive benefit in ε4 carriers with greater n-3 levels, or less brain AD neuropathology with weekly seafood consumption.

In summary, these studies indicate an interaction between ɛ4 allele and DHA efficacy, with the ɛ4 allele potentially limiting the effectiveness of DHA supplementation on cognition later in the disease process. It would be important to assess the delivery of DHA to the brain by APOE ε4 status before the onset of detectable brain amyloidosis and AD. These studies would then clarify whether cognitively healthy younger APOE ε4 carriers have a chronic defect in DHA brain delivery years before the onset of neurodegeneration, presenting with an opportunity for DHA supplementation to prevent or slow the progression of AD.

Conclusions

To our knowledge, this is the first study to demonstrate changes in CSF DHA levels in relation to APOE genotypes and CSF Aβ42 peptide levels. Our main finding suggests decreased DHA delivery to CSF in participants with lower CSF Aβ42 peptide and in carriers of the APOE ε4 allele. These findings can help explain the lack of efficacy of DHA in participants with established AD. Future studies are needed to clarify if differences in DHA transport in participants carrying the APOE ε4 allele appear earlier in life, before the onset of cognitive decline.

Abbreviations

AA, arachidonic acid; Aβ42, amyloid-β42; AD, Alzheimer’s disease; ADAS-cog, Alzheimer’s Disease Assessment Scale-Cognition; ADCS, Alzheimer’s Disease Cooperative Study; APOE, apolipoprotein E; cPLA2, calcium-dependent phospholipase A2; CSF, cerebrospinal fluid; DHA, docosahexaenoic acid; EPA, eicosapentaenoic acid; MMSE, Mini Mental State Examination; n-3 PUFA, ω-3 polyunsaturated fatty acid; PLA2, phospholipase A2; p-Tau, phosphorylated Tau; Tg, transgenic

References

  1. Lambert JC et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nat Genet. 2013;45(12):1452–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Corder EH et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261(5123):921–3.

    Article  CAS  PubMed  Google Scholar 

  3. Genin E et al. APOE and Alzheimer disease: a major gene with semi-dominant inheritance. Mol Psychiatry. 2011;16(9):903–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Cunnane SC et al. Fish, docosahexaenoic acid and Alzheimer’s disease. Prog Lipid Res. 2009;48(5):239–56.

    Article  CAS  PubMed  Google Scholar 

  5. Cunnane SC et al. Plasma and brain fatty acid profiles in mild cognitive impairment and Alzheimer’s disease. J Alzheimers Dis. 2012;29(3):691–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Söderberg M et al. Fatty acid composition of brain phospholipids in aging and in Alzheimer’s disease. Lipids. 1991;26(6):421–5.

    Article  PubMed  Google Scholar 

  7. Corrigan F et al. Abnormal content of n-6 and n-3 long-chain unsaturated fatty acids in the phosphoglycerides and cholesterol esters of parahippocampal cortex from Alzheimer’s disease patients and its relationship to acetyl CoA content. Int J Biochem Cell Biol. 1998;30(2):197–207.

    Article  CAS  PubMed  Google Scholar 

  8. Prasad MR et al. Regional membrane phospholipid alterations in Alzheimer’s disease. Neurochem Res. 1998;23(1):81–8.

    Article  CAS  PubMed  Google Scholar 

  9. Freund-Levi Y et al. ω-3 fatty acid treatment in 174 patients with mild to moderate Alzheimer disease: OmegAD Study: a randomized double-blind trial. Arch Neurol. 2006;63(10):1402–8.

    Article  PubMed  Google Scholar 

  10. Chiu CC et al. The effects of omega-3 fatty acids monotherapy in Alzheimer’s disease and mild cognitive impairment: a preliminary randomized double-blind placebo-controlled study. Prog Neuropsychopharmacol Biol Psychiatry. 2008;32(6):1538–44.

    Article  CAS  PubMed  Google Scholar 

  11. Johnson EJ et al. Cognitive findings of an exploratory trial of docosahexaenoic acid and lutein supplementation in older women. Nutr Neurosci. 2008;11(2):75–83.

    Article  CAS  PubMed  Google Scholar 

  12. Quinn JF et al. Docosahexaenoic acid supplementation and cognitive decline in Alzheimer disease: a randomized trial. JAMA. 2010;304(17):1903–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Yurko-Mauro K et al. Beneficial effects of docosahexaenoic acid on cognition in age-related cognitive decline. Alzheimers Dement. 2010;6(6):456–64.

    Article  CAS  PubMed  Google Scholar 

  14. Vellas B et al. MAPT study: a multidomain approach for preventing Alzheimer’s disease: design and baseline data. J Prev Alzheimers Dis. 2014;1:13–22.

    PubMed  PubMed Central  Google Scholar 

  15. van de Rest O et al. Effect of fish oil on cognitive performance in older subjects: a randomized, controlled trial. Neurology. 2008;71(6):430–8.

    Article  PubMed  Google Scholar 

  16. Daiello LA et al. Association of fish oil supplement use with preservation of brain volume and cognitive function. Alzheimers Dement. 2015;11(2):226–35.

    Article  PubMed  Google Scholar 

  17. Huang TL et al. Benefits of fatty fish on dementia risk are stronger for those without APOE ε4. Neurology. 2005;65(9):1409–14.

    Article  CAS  PubMed  Google Scholar 

  18. Whalley LJ et al. n-3 Fatty acid erythrocyte membrane content, APOE ε4, and cognitive variation: an observational follow-up study in late adulthood. Am J Clin Nutr. 2008;87(2):449–54.

    CAS  PubMed  Google Scholar 

  19. Bazinet RP, Layé S. Polyunsaturated fatty acids and their metabolites in brain function and disease. Nat Rev Neurosci. 2014;15(12):771–85.

    Article  CAS  PubMed  Google Scholar 

  20. Vandal M et al. Reduction in DHA transport to the brain of mice expressing human APOE4 compared to APOE2. J Neurochem. 2014;129(3):516–26.

    Article  CAS  PubMed  Google Scholar 

  21. Calon F. Omega-3 polyunsaturated fatty acids in Alzheimer’s disease: key questions and partial answers. Curr Alzheimer Res. 2011;8(5):470–8.

    Article  CAS  PubMed  Google Scholar 

  22. Freund-Levi Y et al. Transfer of omega-3 fatty acids across the blood-brain barrier after dietary supplementation with a docosahexaenoic acid-rich omega-3 fatty acid preparation in patients with Alzheimer’s disease: the OmegAD study. J Intern Med. 2014;275(4):428–36.

    Article  CAS  PubMed  Google Scholar 

  23. Kuratko CN et al. The relationship of docosahexaenoic acid (DHA) with learning and behavior in healthy children: a review. Nutrients. 2013;5(7):2777–810.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Arterburn LM et al. Bioequivalence of docosahexaenoic acid from different algal oils in capsules and in a DHA-fortified food. Lipids. 2007;42(11):1011–24.

    Article  CAS  PubMed  Google Scholar 

  25. Folch J, Lees M, Sloane-Stanley G. A simple method for the isolation and purification of total lipids from animal tissues. J Biol Chem. 1957;226(1):497–509.

    CAS  PubMed  Google Scholar 

  26. Morrison WR, Smith LM. Preparation of fatty acid methyl esters and dimethylacetals from lipids with boron fluoride-methanol. J Lipid Res. 1964;5(4):600–8.

    CAS  PubMed  Google Scholar 

  27. Shaw LM et al. Cerebrospinal fluid biomarker signature in Alzheimer’s disease neuroimaging initiative subjects. Ann Neurol. 2009;65(4):403–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Esposito G et al. Imaging neuroinflammation in Alzheimer’s disease with radiolabeled arachidonic acid and PET. J Nucl Med. 2008;49(9):1414–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Bazan NG, Colangelo V, Lukiw WJ. Prostaglandins and other lipid mediators in Alzheimer’s disease. Prostaglandins Other Lipid Mediat. 2002;68:197–210.

    Article  PubMed  Google Scholar 

  30. Mashek DG, Coleman RA. Cellular fatty acid uptake: the contribution of metabolism. Curr Opin Lipidol. 2006;17(3):274–8.

    Article  CAS  PubMed  Google Scholar 

  31. Kuipers RS et al. Fetal intrauterine whole body linoleic, arachidonic and docosahexaenoic acid contents and accretion rates. Prostaglandins Leukot Essent Fatty Acids. 2012;86(1):13–20.

    Article  CAS  PubMed  Google Scholar 

  32. Carver JD et al. The relationship between age and the fatty acid composition of cerebral cortex and erythrocytes in human subjects. Brain Res Bull. 2001;56(2):79–85.

    Article  CAS  PubMed  Google Scholar 

  33. Purdon A et al. Energy consumption by phospholipid metabolism in mammalian brain. Neurochem Res. 2002;27(12):1641–7.

    Article  CAS  PubMed  Google Scholar 

  34. Fonteh AN et al. Human cerebrospinal fluid fatty acid levels differ between supernatant fluid and brain-derived nanoparticle fractions, and are altered in Alzheimer’s disease. PLoS One. 2014;9(6):e100519.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Palop JJ et al. Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of Alzheimer’s disease. Neuron. 2007;55(5):697–711.

    Article  CAS  PubMed  Google Scholar 

  36. Sanchez-Mejia RO et al. Phospholipase A2 reduction ameliorates cognitive deficits in a mouse model of Alzheimer’s disease. Nat Neurosci. 2008;11(11):1311–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Lehtonen JY, Holopainen JM, Kinnunen PK. Activation of phospholipase A2 by amyloid β-peptides in vitro. Biochemistry. 1996;35(29):9407–14.

    Article  CAS  PubMed  Google Scholar 

  38. Rapoport SI. Translational studies on regulation of brain docosahexaenoic acid (DHA) metabolism in vivo. Prostaglandins Leukot Essent Fatty Acids. 2013;88(1):79–85.

    Article  CAS  PubMed  Google Scholar 

  39. Cao D et al. Docosahexaenoic acid promotes hippocampal neuronal development and synaptic function. J Neurochem. 2009;111(2):510–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Plourde M et al. Plasma n-3 fatty acid response to an n-3 fatty acid supplement is modulated by apoE ε4 but not by the common PPAR-α L162V polymorphism in men. Br J Nutr. 2009;102(8):1121–4.

    Article  CAS  PubMed  Google Scholar 

  41. Conway V et al. Postprandial enrichment of triacylglycerol-rich lipoproteins with omega-3 fatty acids: lack of an interaction with apolipoprotein E genotype? Lipids Health Dis. 2014;13:148.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Samieri C et al. Relationship between diet and plasma long-chain n-3 PUFAs in older people: impact of apolipoprotein E genotype. J Lipid Res. 2013;54(9):2559–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Samieri C et al. ω-3 fatty acids and cognitive decline: modulation by ApoEε4 allele and depression. Neurobiol Aging. 2011;32(12):2317. e13–e22.

    Article  PubMed  Google Scholar 

  44. Morris MC et al. Consumption of fish and n-3 fatty acids and risk of incident Alzheimer disease. Arch Neurol. 2003;60(7):940–6.

    Article  PubMed  Google Scholar 

  45. Morris MC et al. Association of seafood consumption, brain mercury level, and APOE ε4 status with brain neuropathology in older adults. JAMA. 2016;315(5):489–97.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Dr. Rema Raman, Karin Ernstrom, and the ADCS DHA Coordinating Center for facilitating access to the data.

Funding

HNY was supported by grant K23HL107389 from National Heart, Lung, and Blood Institute and grant NIRG-15-361854 from the Alzheimer’s Association. ADRC project P50-AG05142-31 (to HCC) from the National Institute of Aging supported this project. This study was supported by grant U01 AG10483 from the National Institute on Aging. The placebo and DHA study drugs were provided by DSM. DSM also provided plasma and cerebrospinal fluid measurements of fatty acids.

Availability of data and materials

The supporting data are available at the ADCS website and can be accessed by request: http://www.adcs.org/Admin/dataCore.aspx

Authors’ contributions

HNY conceived of the CSF study design by APOE genotype. HNY and LSS designed the study analysis plan. HNY and WJM analyzed the data. HNY drafted the manuscript. JFQ, PSA, and KYM designed the original DHA trial. EBH analyzed the lipids in plasma and CSF. EBH, PSA, WJM, VR, JFQ, and HCC critically appraised the literature, and participated in the study design and writing the manuscript. JFQ, KYM, VR, HCC, and LSS critically appraised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Competing interests

KYM and EBH reported being employees of DSM Nutritional Products, a manufacturer of docosahexaenoic acid (DHA). JFQ and PSA reported being named as coinventors on a patent for DHA for the treatment of Alzheimer’s disease in apolipoprotein E ε4-negative individuals, which was filed in July 2009 with KYM as the inventor. Data lock for this trial was completed June 2009; the primary analysis was completed and the results presented in July 2009; and the patent was filed by Martek Biosciences (now part of DSM) in July 2009. JFQ and PSA were added as coinventors in February 2010. JFQ and PSA have waived personal rights to royalties related to this patent. None of the other authors reported financial disclosures. No nonfinancial conflicts of interest exist for any of the authors.

Ethics approval and consent to participate

Written informed consent was obtained from study participants, their legally authorized representatives, or both, according to local guidelines. The list of the participating sites can be found at http://www.adcs.org.

Author information

Authors and Affiliations

  1. Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA

    Hussein N. Yassine & Varun Rawat

  2. Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA

    Wendy J. Mack

  3. Department of Neurology, Oregon Health & Science University, and Portland VA Medical Center , Portland, OR, USA

    Joseph F. Quinn

  4. Clinical Research Department, DSM Nutritional Products, Columbia, MD, USA

    Karin Yurko-Mauro & Eileen Bailey-Hall

  5. Alzheimer’s Therapeutic Research Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA

    Paul S. Aisen

  6. Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA

    Helena C. Chui & Lon S. Schneider

  7. Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, USA

    Lon S. Schneider

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  1. Hussein N. Yassine
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  2. Varun Rawat
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Correspondence to Hussein N. Yassine.

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Yassine, H.N., Rawat, V., Mack, W.J. et al. The effect of APOE genotype on the delivery of DHA to cerebrospinal fluid in Alzheimer’s disease. Alz Res Therapy 8, 25 (2016). https://0-doi-org.brum.beds.ac.uk/10.1186/s13195-016-0194-x

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  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13195-016-0194-x

Keywords

Alzheimer's Research & Therapy

ISSN: 1758-9193