Abstract
Background
TOMM40 (translocase of the outer mitochondrial membrane pore subunit) is in linkage disequilibrium with apolipoprotein E (APOE). APOE e4 is linked to long (L; 21–29 T residues) poly-T variants within intron 6 of TOMM40 while APOE e3 can be associated with either with a short (S; <21 T residues) or very long (VL; >29 T residues) variant. To assess the possible contribution of TOMM40 to Alzheimer’s disease (AD) onset, we compared the effects of TOMM40 and APOE genotype on preclinical longitudinal memory decline.
Methods
An APOE e4 enriched cohort of 639 cognitively normal individuals age 21–97 years of known TOMM40 genotype underwent longitudinal neuropsychological testing every two years. We estimated the longitudinal effect of age on memory using statistical models that simultaneously modeled cross sectional and longitudinal effects of age on the auditory verbal learning test long term memory score (AVLT) by APOE, TOMM40, and the interaction between the two.
Results
There were significant effects overall for both TOMM40 (p=0.04 linear effect, p=0.03 quadratic effect) and APOE (p=0.06 linear effect, p=0.008 quadratic effect) with no significant interaction (p=0.63). These differences were age-dependent: there was a significant TOMM40 effect prior to age 60 (p=0.009) characterized by flattened test-retest improvement (VL/VL subgroup only) but no significant APOE effect; and a significant APOE effect after age 60 (p=0.006) characterized by accelerated memory decline (e4 carriers) but no significant TOMM40 effect.
Conclusion
Both TOMM40 and APOE significantly influence age-related memory performance, but appear to do so independently of each other.
Keywords: TOMM40, APOE, preclinical Alzheimer’s disease, cognitive aging, age-related memory loss, mitochondria, very long term memory, test-retest effects
1. Introduction
Mitochondrial alterations have long been suspected of contributing to the pathophysiology of, or even possibly causing Alzheimer’s disease (AD) as well as other neurodegenerative illnesses1. Oxidative stress2, vascular endothelial dysfunction3, hypoxia4, glucose deprivation5, and mitochondrial dysfunction6 all promote amyloidogenesis. The TOMM40 gene encodes the translocase of the outer mitochondrial membrane pore subunit through which cytoplasmic proteins pass7. Apolipoprotein (apoe) e4 and e3 isoforms interact with the outer mitochondrial membrane leading to mitochondrial dynamic dysfunction8. Other aggregating proteins, including amyloid precursor protein accumulates in these pores also contributing to mitochondrial dysfunction9.
The apolipoprotein E (APOE) e4 allele influences risk and age of onset of AD in a gene-dose dependent fashion10, and the apoe e4 isoform itself is toxic to mitochondria8,11. Deep sequencing of the APOE-TOMM40 linkage disequilibrium region recently revealed a variable–length, deoxythymidine homopolymer (poly-T) within intron 6 of the TOMM40 gene that sorts nonrandomly with APOE alleles, and that Roses and colleagues have suggested may have an effect on AD risk and age of onset12–14. Currently, the length of the poly-T homopolymer is categorized as short (14–20 repeats), long (21–29 repeats) or very long (more than 29 repeats). Among Caucasians, APOE e4 is usually linked to long (L) variants while APOE e3 is primarily associated with either with a short (S) or very long (VL) poly-T variant of TOMM4013. Associations within non-Caucasian populations, as well as the TOMM40 associations with the APOE e2 allele are still under study.
Correlations between age of symptomatic AD onset in a clinical series of thirty-four APOE e3/4 heterozygotes as well as in an autopsy series of 22 APOE e3/3 individuals have showed that those with a “long-long” TOMM40 genotype (in which L and VL variants were grouped together) had a younger age of onset than those with an SL or SS genotype14. Using a cohort genetically enriched with APOE e4 carriers, we were able to show that age-related memory decline accelerates preclinically in APOE e4 carriers beginning around age 55–60 years15. If TOMM40 further influences AD age of onset either in conjunction with or instead of APOE, then it should also alter preclinical cognitive aging patterns in a similar way. We therefore performed TOMM40 genotyping of our APOE e4 enriched cohort to compare the age-related trajectories of preclinical memory change among TOMM40 genotype subgroups.
2. Methods
2.1. Study population
From January 1, 1994 through August 6, 2007 cognitively normal residents of Maricopa County age 21 years and older were recruited through local media ads, underwent APOE genotyping and longitudinal neuropsychological assessment15. Demographic, family, and medical history data were obtained on each individual undergoing APOE genotyping, and identity was coded by a study assistant. Ancestral origin was self-reported. Genetic determination of APOE allelic status was performed using a polymerase chain reaction (PCR) based assay.
All identified e4 homozygotes (HMZ) were matched by age, gender, and education to one e3/4 heterozygote (HTZ) and two non-carriers. We identified more HTZ and non-carriers than HMZ, (especially those persons over age 70 years reflecting the greater number of e4 HMZ developing MCI and AD by this age) who were also eligible for enrollment. Each participant had screening tests to establish their neuropsychiatrically normal state including a neurological examination, the Folstein Mini-Mental Status Exam (MMSE), the Hamilton Depression (Ham-D) Rating Scale, the Functional Activities Questionnaire (FAQ), Instrumental Activities of Daily Living (IADL), and Structured Psychiatric Interview for DSM-IIIR. We excluded anyone with potentially confounding medical, neurologic, or psychiatric problems. None met the published criteria for mild cognitive impairment (MCI)16, AD17, other forms of dementia or major depressive disorder18. Entry criteria for all participants included a score of at least 27 on the MMSE (and scoring at least 1 out of 3 on the recall subtest), a score of 10 or less on the Ham-D rating scale at the time of their first visit, and no indication of loss of function on the FAQ and IADL.
We also excluded from the analysis anyone who subsequently met published criteria for MCI, AD, or any other form of dementia during follow-up, and thus excluded 16 participants (four non-carriers, four heterozygous persons and 8 homozygous persons).
2.2. TOMM40
Genotyping of the genetic variants was performed by a sequencing vendor (Polymorphic DNA Technologies, Alameda CA, http://www.polymorphicdna.com). Four polymorphisms were analyzed for each genomic sample: rs8106922, rs429358, rs7412, and rs10524523. Polymorphisms rs429358 and rs7412 define the APOE genotype, and rs8106922, within TOMM40, is a key polymorphism identified in previous studies (phylogenetic and genome-wide association) as associated with risk of AD. The fourth polymorphism, rs10524523, is a homopolymer length polymorphism (poly-T) located in an intronic region of TOMM40. In the human reference sequence, the number of T residues in the homopolymer, “N”, is 35, and the specific variation described by rs10524523 is a 19 base pair deletion, making the homopolymer T16 (N=16 T residues) the variant allele. In the Duke/Polymorphic haplotyping work, other alleles of this homopolymer have been observed, with values of N ranging from 14 to 46 residues. For each genomic sample, Polymorphic simultaneously PCR amplified each polymorphism and then performed bidirectional direct Sanger sequencing of the DNA templates on an ABI 3730xl sequencing platform and sequence data analysis. The TOMM40 poly-T lengths for each chromosome were converted to genotypes using the following standards3: short (S) poly-T (14–20 T residues), long (L) poly-T (21–29 T residues), and very long (>29 residues).
2.3. Neuropsychological Testing
As previously described15, we selected a single measure of long-term memory loss, the Long Term Memory (LTM; Trial 7) score of the Auditory Verbal Learning Test (AVLT) (score range from worst to best is 0–15)19 as the primary endpoint. The AVLT was administered to participants as part of a standardized battery of neuropsychological tests at baseline and then at intervals of one to two years. (Duration of participation is until death, onset of MCI or dementia, or the participant’s decision to stop.)
2.4. Statistics
To isolate the effect of longitudinal cognitive change, we used a statistical method to separate baseline from change in performance over time20. To assess the linear and quadratic effect of TOMM40 (S carriers versus L/L, L/VL, or VL/VL variant) and APOE (e4 noncarriers versus carriers) and the linear interaction between TOMM40 and APOE on cognitive change, a previously described mixed model21 was modified to include a term for the quadratic effect of a binary risk factor. To compare the cognitive change between TOMM40 S/S and VL/VL variants within the APOE e3/3 group and to compare cognitive change between APOE e4/4 subjects with the TOMM40 L/L variant to the TOMM40 VL/VL group, a previously described mixed model21 was applied without modification. Finally, to assess early (before age 60) and late (after age 60) effects of TOMM40 (S carriers versus L/L, L/VL, or VL/VL variants) and APOE (e4 noncarriers versus carriers), the following piecewise linear model for Yij (the jth response for the ith individual) was developed:
where APOEi is the APOE status for the ith individual (1=e4 carrier; 0=e4 noncarrier); TOMM40i is the TOMM40 status for the ith individual (1= L/L, L/VL, or VL/VL variant; 0=S carrier); Ageij is the age of the ith individual at the time of the jth response; Ageij,60 is the maximum of Ageij minus 60 or zero; and b1i is an individual specific random effect allowing each subject to have a different intercept. This model allows for comparison of the constant annual change (i.e., slope) before age 60 and after age 60 between the TOMM40 groups and between the APOE groups. Age 60 was selected because it was approximately equal to the median entry age. Modeling was carried out using SAS PROC MIXED (SAS Version 9, SAS Institute, Cary, NC). Baseline characteristics and followup were compared among groups by using the two-sample t-test/analysis of variance (ANOVA) F-test or Pearson chi-square test.
3. Results
639 individuals between ages 21 and 97 had the following TOMM40 genotypes: S/S (n=88), L/L (n=54), VL/VL (n=110), S/L (n=107), S/VL (n=193), and L/VL (n=87). Table 1 summarizes the demographic data. They did not differ in years of education (15.6 +/− 2.5, p=0.99), gender (69.6% women, p=0.22), racial background (99.4% Caucasian, p=0.68), proportion with more than one followup visit (81.2%, p=0.76), or duration of followup (6.1 +/−3.1 years, p=0.27), but family history of dementia in a first degree relative was highest in the L/L subgroup (81.1%; p<0.001) reflecting the known linkage disequilibrium with APOE e4.
Table 1.
TOMM40S/S | TOMM40 S/L | TOMM40 S/VL | TOMM40 L/L | TOMM40 L/VL | TOMM40 VL/VL | p | |
---|---|---|---|---|---|---|---|
N | 88 | 107 | 193 | 54 | 87 | 110 | |
Mean Entry Age (standard deviation) | 57.8 (13.6) | 57.3 (12.9) | 59.3 (12.9) | 56.1 (9.9) | 55.3 (12.1) | 60.9 (11.2) | 0.02 |
Mean Years Education (standard deviation) | 15.6 (2.3) | 15.7 (2.5) | 15.6 (2.5) | 15.8 (2.3) | 15.5 (2.6) | 15.6 (2.7) | 0.99 |
#Female (%) | 67 (76.1) | 72 (67.3) | 127 (65.8) | 42 (77.8) | 65 (74.7) | 72 (65.5) | 0.22* |
% FDR | 52.9 | 69.8 | 47.6 | 81.1 | 79.1 | 57.3 | <0.001* |
%Caucasian | 100 | 100 | 98.1 | 100 | 100 | 100 | 0.68* |
% >1 epoch | 81.8 | 84.1 | 78.8 | 85.2 | 78.2 | 82.7 | 0.76* |
FDR=first degree relative with dementia. Unpaired t-tests except (*) chi square.
Combined TOMM40 and APOE genotype subgroups
To first gain an overall perspective of TOMM40 and APOE effects, we condensed the large number of potential genotype combinations into four subgroups. We grouped S carriers together (n=388) and L and VL variants (L/L, L/VL, VL/VL genotypes) together (n=251) to generate two TOMM40 groups: S carriers and L*L* (where L* can be L or VL). We also grouped APOE subgroups into e4 carriers and noncarriers, and thus created four subgroups: S/e4+, S/e4−, L*L*/e4+, L*L* e4−. Their cognitive aging trajectories are shown in figure 1. There were significant effects for both TOMM40 (p=0.04 linear effect, p=0.03 quadratic effect) and APOE (p=0.06 linear effect, p=0.008 quadratic effect) with no significant interaction (p=0.63).
Separate TOMM40 and APOE genotype subgroups
To better understand specific TOMM40 and APOE genotype effects, we next looked at specific genotype combinations that contained adequate numbers of individuals. Table 2 shows the distribution of APOE genotypes with TOMM40 genotypes and demonstrates the association of the S and VL TOMM40 variants with the e3 allele, and the L TOMM40 variant with the APOE e4 allele. When only individuals with the APOE e3/3 genotype are considered, there is a significant difference in longitudinal memory trajectories between TOMM40 S/S and VL/VL variants (p=0.04, linear effect, figure 2). The VL/VL group fails to show a normal test-retest effect from the earliest ages that is preserved in the S/S group. When VL/VL, S/VL, and SS groups were compared there was no evident VL gene dose effect of the test-retest flattening (linear trend, p=0.33). To compare the effect of L/L with VL/VL, we compared APOE e4/4 HMZ with the TOMM40 L/L genotype (the only group with a sufficient number of L/L) with the entire sample of VL/VL (none were also HMZ) (supplementary figure 1) and found that the L/L group, like the S/S group retained a normal test-retest pattern, but unlike the e3/3 subgroup, showed a striking accelerated decline in memory performance (p=0.009, quadratic effect). Because of tight linkage between e4 and L we cannot disentangle their respective effects on this decline, but more pertinently, unlike the VL/VL group, there is no loss of the normal test-retest effect.
Table 2.
TOMM40-S/S | TOMM40-S/L | TOMM40-S/VL | TOMM40-L/L | TOMM40-L/VL | TOMM40-VL/VL | Total | |
---|---|---|---|---|---|---|---|
APOE-2/3 | 13 | 1 | 15 | 1 | 0 | 12 | 42 |
APOE-3/3 | 69 | 10 | 159 | 2 | 4 | 92 | 336 |
APOE-3/4 | 5 | 88 | 19 | 5 | 75 | 6 | 198 |
APOE-4/4 | 1 | 8 | 0 | 46 | 8 | 0 | 63 |
Total | 88 | 107 | 193 | 54 | 87 | 110 | 639 |
These results suggested that there was an early effect (before age 60) attributable to TOMM40 VL characterized by a flattened test-retest effect that may persist lifelong, and a late (after age 60) effect attributable to APOE e4 characterized by accelerated memory decline. To test this early TOMM40 vs late APOE hypothesis, we compared TOMM40 and APOE effects before and after age 60 years (the center point of our age distribution). This was formally tested by creating linear models before and after age 60 again using the following 4 subgroups: S/e4+, S/e4−, L*L*/e4+, L*L* e4− (supplementary figure 2). As suspected there was a significant TOMM40 effect prior to age 60 (p=0.009) but no significant APOE effect; and a significant APOE effect after age 60 (p=0.006) but no significant TOMM40 effect.
4. Discussion
APOE e4 carriers and e4 HMZ in particular are at greater risk for AD and have an earlier age of onset than e4 noncarriers. This association has been replicated many times since the original reports in the early 1990’s10. Yet, the strong linkage disequilibrium patterns between specific alleles of APOE and TOMM40 have led Roses himself and others to question whether TOMM40 underlies or contributes to the apparent APOE effect, a suspicion that has received preliminary support from several small clinical series.
Although we found that the e4-L combination was associated with accelerated memory decline after age 60, the roles of APOE e4 and TOMM40 L could not be separated due to strong linkage disequilibrium (table 2). Among those with the APOE e3/3 genotype, the TOMM40 S/S subgroup showed a normal test-retest effect (illustrated by the positive slope of the 5 year interval changes in test performance at the younger age intervals), as did the TOMM40L/L subgroup (all of who also carried the APOE e4/4 genotype). The VL/VL subgroup, however, was associated with significant reduction of this test-retest effect. This “non-effect” of the VL allele on accelerated memory decline accords well with the recent clinical series by Cruchaga et al who found an association between age of AD onset and the S but not the VL TOMM40 allele, though we were unable to identify accelerated memory decline in association with the S allele as their study suggested22.
The exact relationship of TOMM40 to AD pathogenesis is not yet clear, but the greatest differences between TOMM40 variants were found prior to age 60 with attenuated decline after age 60 among the S/S and VL/VL genotypes. Notably, this effect, as well as the previously demonstrated onset of preclinical memory decline in APOE e4 carriers15 is occurring at a younger age than the Alzheimer’s Disease Neuroimaging Initiative cohort on which a current popular model of AD pathogenesis is based23. The posterior cingulate is a brain region that is consistently observed to be hypometabolic with FDG-PET in patients with AD and in asymptomatic APOE e4 carriers, including young adults24. In expired young APOE e4 carriers Valla et al have shown that posterior cingulate cortex neurons have lower mitochondrial cytochrome oxidase activity than noncarriers despite the absence of soluble or fibrillar abeta amyloid or tau pathology suggesting this may be a very early change that precedes and promotes BACE1 activity and amyloidogenesis25. Whether TOMM40 variants might help to account for the observed metabolic differences in young adults warrants further study since it is a mitochondria-based alteration with functional correlations in this age range.
Some might question whether a potential limitation of our study is that it was not population based, but instead genetically enriched for APOE e4. Because our intent was to study the behavior of genetic subgroups rather than determine incidence or prevalence rates of symptomatic disease, and because of the pattern of linkage disequilibrium between APOE and TOMM40 alleles, our genetic enrichment strategy proved to be a strength that afforded us sufficient power to assess, to the extent possible, the major APOE-TOMM40 combinations. In the absence of random community based sampling we could risk recruiting individuals concerned about their own cognitive health perhaps due to early stage AD in some. To address this we eliminated anyone who developed clinically symptomatic MCI or dementia at any point. Further, 80% had at least two epochs of testing with mean followup duration of 6 years that further reduced the likelihood that individuals with incipient symptoms were enrolled.
Another potential limitation of our study was that we did not reproduce an extensive analysis of the haplotype structure of this region. Roses et al. presented an extensive analysis of the haplotype structure of the TOMM40-APOE region based on molecular or phased-separated haplotypes13. This analysis defined the relationship between APOE alleles and rs10524523 lengths. An analysis of 300 phase-separated haplotypes showed that the APOE e3 allele is linked to either an S or VL allele of 523 98% of the time and that the APOE e4 allele is linked to the L allele of 523 87% of the time. It is possible to infer the haplotype structure of APOE and 523 with an accuracy of between 97% and 99%. Since these results were obtained in Caucasians and the present study is nearly 100% comprised of Caucasian subjects, the same haplotypic relationship is likely to exist between the APOE alleles and 523 alleles in our study.
How TOMM40 will ultimately fit into the pathophysiologic mechanism of AD is not yet clear, and important basic insights still await evaluation in further sufficiently large clinical cohorts. Our results show that differences in a mitochondrial protein can correlate with differences in cognition and cognitive aging that are distinct from those of apoe, and that such effects may be most evident in cohorts younger than those on which current disease models are based.
Supplementary Material
Acknowledgments
Funded by P30AG19610, R01AG6031581, Deane Drug Discovery Institute (Duke University), and the Arizona Alzheimer Research Consortium. The authors wish to thank Ms. Sandra Yee-Benedetto, Mr. Bruce Henslin, Ms. Marci Zomok, and Ms. Jessie Jacobsen for expert technical assistance.
Footnotes
Conflicts
Dr. Roses is president of 3 companies filed as S Corporations in North Carolina: Cabernet Pharmaceuticals, Shiraz Pharmaceuticals, and Zinfandel Pharmaceuticals. Dr. Saunders is married to Dr. Roses. Drs. Caselli, Dueck, Huentelman, Lutz, and Reiman have no relevant disclosures.
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