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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Neurobiol Aging. Author manuscript; available in PMC 2010 June 1.
Published in final edited form as:
PMCID: PMC2858239
NIHMSID: NIHMS79678

Apolipoprotein E ε4 influences on episodic recall and brain structures in aging pilots

Abstract

The apolipoprotein (APOE) ε4 allele is associated with cognitive deficits and hippocampal atrophy in nondemented middle-aged and older adults. It is not known to what extent this genetic risk factor for Alzheimer's disease (AD) impacts performance in late middle-aged and older workers in cognitively demanding occupations. This cross-sectional analysis examines brain–cognitive–genetic relationships in actively flying general aviation pilots, half of whom are APOE ε4 carriers. Fifty pilots were studied with structural MRI and memory tasks. Average visual paired associate memory recall performance was lower in APOE ε4 carriers than non-carriers. Memory performance correlated positively with hippocampal volume, but no structural differences were found in hippocampal or frontal volumes with respect to APOE ε4 allele. These results were evident in healthy professionals without any presenting memory problems and without selection for a family history of AD. These findings point to basic memory testing as a sensitive tool for detecting APOE ε4 -related influences on memory in aging workers.

Keywords: Episodic memory, Hippocampus, Frontal lobe, APOE ε4, Cognitive aging, Volumetric MRI, Dementia, Alzheimer's disease

1. Introduction

The apolipoprotein (APOE) ε4 allele is a major genetic risk factor for Alzheimer's disease (AD; Corder et al., 1993), accelerating the age of symptom onset (Khachaturian et al., 2004). The APOE ε4 allele has frequently been examined as a correlate or predictor of cognitive impairment in nondemented populations to facilitate early detection of AD. However, the results reported in these studies are not only inconsistent (Small et al., 2004), little is known about the impact of APOE ε4 on middle-aged and older workers in cognitively demanding occupations. For instance, recent cross-sectional studies report lower performance during memory tasks in APOE ε4 carriers compared to non-carriers (mean age < 70 years) (Caselli et al., 2001; Chey et al., 2000; Flory et al., 2000; Levy et al., 2004; Lind et al., 2006), but several other studies do not (Jorm et al., 2007; Moffat et al., 2000; Nilsson et al., 2006; Romero et al., 2002; Sager et al., 2005). The impact of APOE ε4 on memory has been more consistent in longitudinal studies (Anstey and Christensen, 2000; Blair et al., 2005; Caselli et al., 2004; Kozauer et al., 2008; Reynolds et al., 2006; Tupler et al., 2006). A few cross-sectional MRI studies report smaller hippocampal volumes in APOE ε4 carriers than in non-carriers (mean age < 70 years) (den Heijer et al., 2002; Lind et al., 2006; Plassman et al., 1997; Tohgi et al., 1997) but many do not (Cohen et al., 2001; Lemaitre et al., 2005; Moffat et al., 2000; Reiman et al., 1998; Schmidt et al., 1996; Tupler et al., 2006). As in the case of memory performance, the impact of APOE ε4 on hippocampal volume in cognitively normal adults appears larger and more consistent in longitudinal studies (Cohen et al., 2001; Moffat et al., 2000).

Studies using the frontal lobe as an anatomical measure usually report its reduction with age (Raz et al., 2005) and/or its association with working memory/attention-demanding tasks (Gunning-Dixon and Raz, 2003). The ability to fly an airplane provides an ideal platform to study aging workers (Taylor et al., 2007), especially those at risk for AD, as this skill involves working memory and attentional networks (Taylor et al., 2005). Below, we report the baseline results from an ongoing longitudinal MRI study where actively flying, FAA medically certified pilots aged 50–76 years undergo structural MRIs and neuropsychological testing every 2 years.

2. Methods

2.1. Participants

A total of 50 general aviation pilots were selectively recruited (50% APOE ε3/4 or 4/4 and 50% ε3/3) from the ongoing longitudinal Stanford/VA aviation study (see Table 1 for participant characteristics and brief description of measures). Written informed consents were obtained from all participants.

Table 1
Characteristics (mean ±S.D.) of the 50 participants

2.2. MR Image acquisition and analysis

MRI data were acquired with a 1.5-T (GE Medical Systems, Milwaukee, WI) scanner using the following sequences: (a) a T2-weighted spin-echo MRI, TR/TE1/TE2 = 5000/30/80 ms, 51 oblique axial 3 mm slices angulated parallel to the long axis of the hippocampus (1.00 mm × 1.00 mm in plane resolution); b) 3D spoiled GRASS MRI of entire brain, TR/TE=9/2 ms, 15° flip angle, perpendicular to the long axis of the hippocampi (1.00 mm × 1.00 mm in plane resolution, 1.5 mm coronal slices, no skip).

3. Results

3.1. Effects of APOE ε4 and age on episodic memory

There were no significant differences between ε4 carriers and non-carriers with regards to age and education, p's > 0.15. The visual paired associate (VPA) average recall score was significantly lower for APOE ε4 carriers (mean % correct = 70 ± 19.33) than non-carriers (mean % correct = 84.5 ± 16.47); F(1,49) = 8.80 p < 0.01, effect size (ES) = −0.42. No main effect of age or Age × APOE interaction was observed (F's < 1). The effect size decreased slightly from −0.42 to −0.37 when the two homozygous APOE ε4 carriers were removed and from −0.42 to −0.34 when women were removed. The APOE ε4 effect however remained significant (F(1,41) = 4.76, p < 0.05). In addition, VPA coding throughput (number of correct responses per minute) was lower among APOE ε4 carriers compared to non-carriers (p = 0.047, ES = −0.29) and showed a strong decline with age (p < 0.001, ES = −0.55) with no Age × APOE ε4 interaction. No effect of APOE ε4, age or interaction was seen on the Rey auditory verbal learning test (AVLT) composite z-score.

3.2. Effects of APOE ε4 and age on hippocampal and frontal lobe volume

As shown in Table 1, there were no significant differences between APOE ε4 groups in normalized hippocampal (F(1,46) = 0.28, p > 0.1) or frontal lobe volume (F < 1). There was no significant main effect of age on hippocampal volume (F(1,46) = 2.47, p > 0.10). There was a main effect of age on frontal lobe (F(1,44) = 8.44, p < 0.01). Age × APOE interactions were not significant. We note that hippocampal volume correlated with VPA average recall (r = 0.45) and Rey AVLT composite (r = 0.47) scores.

4. Discussion

APOE ε4 carriers had lower memory performance, as measured by a VPA task assessing both immediate and delayed recall. This APOE ε4-related difference remained significant after potential sampling biases (gender imbalance) and APOE ε4 homozygosity were addressed. VPA recall, which is seldom assessed after symbol-digit coding in neuropsychological testing, proved to be more useful than the Rey AVLT in detecting an APOE ε4 influence on episodic memory in this sample. VPA coding throughput was lower in ε4 carriers than non-carriers on average. VPA coding throughput is similar to the number completed score of the symbol-digit modalities test (SDMT), a paper-and-pencil analogue of VPA coding portion of the task. SDMT was recently shown to be one of the best predictors, along with 10-item delayed word recall, for progression from amnestic MCI to AD (Fleisher et al., 2007). Thus, symbol-digit coding tests including a recall component appear to be a promising means of rapidly assessing persons at increased risk for AD.

Analogous to Schmidt et al. (1996) we did not observe hippocampal volume differences between APOE ε4 carriers and non-carriers in our cross-sectional study, despite an APOE ε4 effect on memory recall. Normal older adults clearly have larger hippocampi on average than age-matched AD individuals (Kramer et al., 2005), but the structural changes within the hippocampi are not well understood in nondemented APOE ε4 carriers. As addressed in the introduction, only 4/10 cross-sectional studies reported a significant decrease in hippocampal volume in APOE ε4 carriers compared to non-carriers. In contrast, two longitudinal studies to date reported APOE ε4-related hippocampal atrophy (Cohen et al., 2001; Moffat et al., 2000).

Our cohort selection criteria targets healthy middle-aged and older individuals and is less likely to include memory impaired individuals usually found in cohorts of participants older than 75. Our cohort has an average education level of 17 years, and more years of education may reduce the degree of APOE ε4-related memory decline (Mayeux et al., 2001). Additionally, unlike studies where recruitment is based on a family history of AD (Caselli et al., 2004; Sager et al., 2005; Tupler et al., 2006) none of our participants were recruited on this basis. Finally, as our participants are actively flying pilots, they employ visuo-spatial attention and navigation techniques in familiar and unfamiliar environments. Several human studies show that frontal and medial temporal lobe are involved in spatial attention and navigation (Maguire et al., 2006). Interestingly, an APOE ε4-related difference was observed in a visuo-spatial processing test which requires scanning, sequencing and learning strategies—cognitive skills pilots routinely use in flying. Our results suggest that healthy and actively flying middle-aged to older pilots who are genetically at risk for AD may be vulnerable to an earlier decline in episodic recall of items requiring visuo-spatial attention during learning. These changes are not yet evident in the hippocampus or frontal lobes (as quantified by MRI). Future studies combining genetic information, innovative memory testing, and various imaging techniques are more likely to capture alterations in cognitive performance of at-risk professional individuals.

Acknowledgments

This study was supported in part by NIA grant R01 AG021632 (with a Diversity Supplement to Dr. Adamson), NIH P30 AG 17824 and NIH R37 AG 12713 and the Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC) and the Medical Research Service of the Department of Veterans Affairs. We thank Helena Kraemer, PhD, Art Noda, M.S. & Xu Xiangyan, MD, MS for biostatistics consulting, MRI technologists Carla Basch & Patricia Spezia, Viktoriya Samarina for manuscript editing, Scott D. Huckaby for testing participants and Jerome A. Yesavage, MD for participant referrals. We also express appreciation to the aviator study participants for their time and interest in pursuit of answering intellectual questions.

Footnotes

Conflicts of interest: There are no actual or potential conflicts of interest. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH/NIA.

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