Maternal transmission of Alzheimer's disease: Prodromal metabolic phenotype and the search for genes
© Henry Stewart Publications 2010
Received: 11 November 2009
Accepted: 11 November 2009
Published: 1 February 2010
After advanced age, having a parent affected with Alzheimer's disease (AD) is the most significant risk factor for developing AD among cognitively normal (NL) individuals. Although rare genetic mutations have been identified among the early-onset forms of familial AD (EOFAD), the genetics of the more common forms of late-onset AD (LOAD) remain elusive. While some LOAD cases appear to be sporadic in nature, genetically mediated risk is evident from the familial aggregation of many LOAD cases. The patterns of transmission and biological mechanisms through which a family history of LOAD confers risk to the offspring are not known. Brain imaging studies using 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) have shown that NL individuals with a maternal history of LOAD, but not with a paternal family history, express a phenotype characterised by a pattern of progressive reductions of brain glucose metabolism, similar to that in AD patients. As maternally inherited AD may be associated with as many as 20 per cent of the total LOAD population, understanding the causes and mechanisms of expression of this form of AD is of great relevance. This paper reviews known genetic mutations implicated in EOFAD and their effects on brain chemistry, structure and function; epidemiology and clinical research findings in LOAD, including in vivo imaging findings showing selective patterns of hypometabolism in maternally inherited AD; possible genetic mechanisms involved in maternal transmission of AD, including chromosome X mutations, mitochondrial DNA and imprinting; and genetic mechanisms involved in other neurological disorders with known or suspected maternal inheritance. The review concludes with a discussion of the potential role of brain imaging for identifying endophenotypes in NL individuals at risk for AD, and for directing investigation of potential susceptibility genes for AD.
Alzheimer's disease: Incidence and clinical profile
AD is a neurodegenerative disorder characterised by global deficits in cognition, ranging from memory loss to impaired judgment and reasoning . Clinical diagnosis per se is often uncertain and clinical assessment requires multiple examinations and laboratory tests over time. Despite thorough clinical exams, the frequency of unrecognised dementia in the community ranges from 50 per cent to 90 per cent of cases . Insidious onset and progressive impairment of memory and other cognitive functions make the initial stages of AD difficult to distinguish from so called 'normal ageing'. In order to develop prevention treatments for AD, it is necessary to identify persons who are still cognitively normal (NL), but are either at very high risk for developing the disease or are in an early, pre-symptomatic stage of the disease. Such individuals are most likely to benefit from therapies which are instituted when the potential for preservation of function is the greatest, well before irreversible synaptic and neuronal injury.
The difficulty in studying the genetics of complex, age-associated disorders such as late onset AD (LOAD) using traditional clinical case identification measures has resulted in an increasing emphasis on studying endophenotypes of AD, which provide more specific targets for genetic studies. In 2007, it was shown that NL children of mothers affected with LOAD express a biological phenotype characterised by progressive reductions in brain glucose metabolism in the same brain regions as clinical AD patients, as measured on 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) . By contrast, children of AD-affected fathers and of parents with no dementia did not show metabolic abnormalities . The genetic basis for the selective maternal transmission of metabolic deficits in AD is not known.
The present review first summarises known genetic mechanisms involved in the early- and late-onset forms of AD, and in vivo brain imaging studies that provide a link between genetics, pathology and pathophysiology in AD. It then presents recent findings of progressive reductions in brain glucose metabolism in adult children of mothers affected with LOAD, and discusses possible genetic and epigenetic mechanisms involved in maternally inherited brain hypometabolism. Finally, it examines other neurological disorders with known or suspected maternal transmission, and discusses the role of imaging in identifying endophenotypes in preclinical AD.
Although many imaging methods are available, this review will focus on the two most widely utilised brain imaging techniques in both clinical practice and research studies in AD -- magnetic resonance imaging (MRI) and PET. Various MRI and PET studies in AD have been published recently [8–13]. Briefly, these methods have long been used in AD for the detection of structural brain changes and volume reductions due to neuronal loss (ie atrophy) on MRI, and reductions of cerebral metabolic rate of glucose (CMRglc) on 18F-FDG-PET. Both modalities accurately discriminate AD from controls, predict decline from normal cognition to dementia and correlate with disease progression and histopathological diagnosis [8–13]. In addition, 18F-FDG-PET has the advantage of being particularly useful for distinguishing AD from other forms of dementia [10–13]. Overall, AD patients present with brain atrophy and hypo-metabolism in the parieto-temporal, posterior cin-gulate, medial temporal and prefrontal cortex, while the primary motor and visual areas, cerebellum, thalamus and basal ganglia are relatively spared [8–13].
In addition to traditional imaging techniques, a turning point in AD was accomplished with the recent development of PET tracers for amyloid-beta (Aβ) plaques, which allow examination of Aβ deposits in vivo. Among different amyloid PET ligands, the best characterised is the N-methyl[11C]2-(4'-methylaminophenyl)-6-hydroxybenzoth-iazole, also known as Pittsburgh compound-B (11C-PIB) . AD patients consistently show 11C-PIB uptake in amyloid-rich brain regions, particularly in the frontal, parieto-temporal, posterior cingulate, precuneus and occipital cortices, as well as the thalamus and striatum, whereas the control population mostly showed non-specific binding restricted to the white matter [8, 15–18]. A combination of imaging modalities may help to make an earlier diagnosis, and to define the nature and extent of AD pathology among pre-symptomatic individuals.
Autosomal dominant genetic transmission of AD: The early-onset forms
The three genes that are causative of AD
Genes associated with Alzheimer's disease
Age of onset <65 years
Increased processing of
APP to Aβ42
Reduced CMRglc on
Age of onset <50 years
Increased Aβ production
Age of onset 40-50 years
Increased processing of
APP to Aβ42
Associated with seizures,
myoclonus and language
Reduced CMRglc on
FDG-PET and striatal
amyloid deposition on
PIB PET in
Age of onset 40-70 years
ApoE ε4 carriers vs
non-carriers show lower
age at onset, reduced Aβ
cognitive performance in
on MRI and reduced
CMRglc on FDG-PET
in pre-symptomatic and
symptomatic ApoE ε4
carriers vs non-carriers
Increased Aβ production
on MRI in SORL1
carriers vs non-carriers
SNP: T → C
Poorer episodic memory
in CC carriers vs TT and
activation on fMRI, and
reduced CMRglc on
FDG-PET in CC
carriers vs CT and TT
protection from neuronal
tangle formation and cell
death Increased risk of
Increased risk of AD
In 1990, the first mutation in the gene encoding APP, on chromosome 21, was discovered in a pedigree with Dutch-type hereditary cerebral haemorrhage with amyloidosis. Shortly after, a missense mutation occurring in the same APP exon (exon 17) was detected in patients with EOFAD [19, 20]. Although APP mutations account for less than 0.1 per cent of all AD cases, they have virtually complete penetrance [19, 20]. Only a year later, a second EOFAD locus was linked to chromosome 14, and the gene was later identified as PSEN1 . PSEN1 is fully penetrant, has an age of onset of disease between 28 and 65 years and is responsible for the majority of EOFAD mutations identified thus far. A second presenilin gene (PSEN2), on chromosome 1, is responsible for six other EOFAD mutations. On average, EOFAD mutations in PSEN2 exhibit a later age of onset of disease (ranging from 43 to 80 years) than those in APP or PSEN1 [19, 20].
The pathophysiology associated with EOFAD genes
Studies of the effects of these genetic mutations suggested a central role for Aβ in the pathogenesis of AD. Definitive diagnosis of AD requires postmortem observation of specific pathological lesions: Aβ plaques, neurofibrillary tangles (NFT) containing hyperphosphorylated tau protein, synaptic loss and brain atrophy in specific brain areas [21, 22].
EOFAD mutations in the APP and PSEN genes generally shift the processing of APP to Aβ42, leading to an increased ratio of Aβ42 to Aβ40 (Table 1) . At post-mortem, EOFAD cases consistently show substantial AD pathology -- particularly diffuse and numerous Aβ plaques surrounded by activated microglia -- associated with extensive synaptic loss and brain atrophy . Aβ peptides are formed from APP and cluster into amyloid plaques on the blood vessels and in the extraneuronal space [23, 24]. Aβ peptides are toxic to cell cultures [25, 26]. Ageing appears to render the brain more vulnerable to Aβ toxicity, and Aβ further impairs mitochondrial function in ageing brains and initiates a neurotoxic cascade with parallel overproduction of free radicals . In AD, Aβ pathology was shown to occur upstream of tau pathology, and recent studies have shown that Aβ may lead to NFT formation within cells . Nonetheless, a causal relationship between Aβ and tau pathology in AD remains to be clarified.
Clinically, EOFAD is characterised by a specific age of onset of cognitive impairment for a given pedigree. Therefore, studies of pre-symptomatic mutation carriers close to the expected age of onset provide unique information about preclinical AD-related brain changes. Asymptomatic and symptomatic PSEN1 mutation carriers showed significant reductions in brain tissue (ie atrophy) on MRI and in global CMRglc on FDG-PET, as compared with age-matched controls . CMRglc reductions on FDG-PET were shown to exceed MRI volume loss in pre-symptomatic PSEN1 carriers .
Amyloid imaging with 11C-PIB PET showed higher amyloid load in both asymptomatic and symptomatic individuals carrying PSEN1 mutations compared with controls .11C-PIB retention was especially high in the striatum of all PSEN1 mutation carriers compared with controls and sporadic AD patients. Symptomatic mutation carriers showed significant tracer retention also in the cortical regions, although uptake was not as high as in sporadic AD subjects . These findings suggest that amyloid deposition in PSEN1 mutation carriers may begin in the striatum before the onset of symptoms, and later spread to neocortical regions [32, 33]. The data may also point to different patterns of Aβ deposition in AD, however, with the striatum being more affected in EOFAD and the cortex being more affected in the late-onset forms. A similar pattern of prominent 11C-PIB retention in the striatum, especially in the caudate nucleus and putamen, was also found in EOFAD patients with APP mutations .
While most studies demonstrated an association between autosomal dominant APP mutations and EOFAD forms, a recent study identified a mutation in the APP gene (A673V) that causes AD only in the homozygous state, reflecting recessive Mendelian inheritance . Affected carriers presented at 36 years of age with behavioural changes and cognitive deficits, leading to severe dementia, spastic tetraparesis and a complete loss of autonomy . This APP mutation was shown in vitro to have two pathogenic effects: shifting of APP processing toward the amyloidogenic pathway and enhancement of the aggregation of fibrillogenic Aβ . Among heterozygotes, the interaction between wild-type and mutant Aβ produced by the non-mutated and mutated alleles appeared to hinder amyloidogenesis and neurotoxicity, thus protecting heterozygous carriers from developing the clinical syndrome.
Another homozygous APP mutation (A693D) resulted in clinical AD among three AD patients from a Japanese pedigree . A heterozygous member of the same family was found to have mild cognitive impairment (MCI), which may lead to AD . It remains to be established whether A693D is a recessive mutation or a dominant APP variant with incomplete penetrance.
LOAD and the role of risk-modifying genes
The lesson learned from studying APP and PSEN mutations is that Aβ dysmetabolism may be a primary event in the pathogenesis of EOFAD. Whether this mechanism of action of Aβ leads to the more common, late-onset forms of AD remains to be determined. While the rare EOFAD cases have autosomal dominant inheritance and the onset and progression of the disease appears relatively independent of non-genetic factors, LOAD, which comprises 99 per cent of the AD population after the age of 60, does not seem to be associated with clearly discernible nuclear genetic mutations. Several genetic and non-genetic factors influence the risk for the development of LOAD and modify both the age at onset and the course of the disease. These include genes (predisposing risk alleles), sociodemographic background (education, intellectual engagement), lifestyle (diet, fitness), environment and medical history (head trauma, medications, smoking, vascular diseases, etc).
Studies of monozygotic (MZ) and dizygotic (DZ) twins affected by LOAD suggest that genetic influence may predominate over environmental influence [37, 38]. In a twin study, a twin pair can either be concordant (both individuals have the disorder) or discordant (only one of two is affected). MZ twins share all of their chromosomes, while DZ twins do not. Therefore, evidence that MZ twins are more concordant for AD than DZ twins would indicate stronger genetic influence. Evidence for the role of the environment comes from MZ twins who are discordant for the disease. Results from Swedish and Finnish twin registries have shown high rates of concordance for AD (over 80 per cent for MZ and 46 per cent for DZ) and high heritability (≥ 74 per cent) [38, 39]. Genetic influ-ence on the age of onset of AD is demonstrated by the fact that it was more concordant for MZ compared with DZ twin pairs .
The challenge in identifying genetic factors involved in LOAD may be due to a combination of variables, which include its insidious onset and slow progression, the complexity of most age-related conditions, the variable influence of various environmental and medical conditions often over a period of decades and the lack of sensitive and specific criteria for incipient AD. Because it is necessary for other family members to survive until the age of onset of the disease, cases may not be recognised as being familial. Genetic association studies in LOAD have identified single DNA sequence variations within a single nucleotide--that is, single nucleotide polymorphisms (SNPs; these are DNA sequence variations that occur when a single nucleotide [A, T, C or G] in the genome sequence is altered) or haplotypes (ie a combination of alleles at multiple loci that are transmitted together on the same chromosome, or can be defined as a set of SNPs on a single chromosome that are statistically associated)--that are associated with increased risk. Although several SNPs within specific genes have been reported to be associated with LOAD, this review will focus on more widely studied polymorphisms in five genes: apolipoprotein E (ApoE), sortilin-related receptor 1 (SORL1), growth factor receptor bound (GRB)-associated binding protein 2 (GAB2), pro-tocadherin 11 (PCDH11X) and kidney and brain (KIBRA) genes. Major findings from studies of susceptibility genes involved with LOAD are summarised in Table 1.
In 1993, Strittmatter and colleagues discovered that carriers of the epsilon 4 (ε4) allele of the gene encoding ApoE, located on chromosome 19, are at higher risk for AD than non-carriers . ApoE contains two SNPs that result in three possible alleles for this gene: ε2, ε3 and ε4. Each allele differs by one DNA base, and the protein product of each gene differs by one amino acid. Case-control studies showed that the ApoE ε4 genotype occurs in approximately 40 per cent of all LOAD patients and is also over-represented in EOFAD . Animal and human studies suggest that the association of the ApoE ε4 allele with AD is mediated primarily by a dose-dependent effect of the ε4 allele on the deposition of Aβ in the brain [41–45]. Some have speculated that ApoE may also influence AD risk by disrupting microtubule-associated tau protein metabolism [19, 46].
MRI studies have demonstrated an association between the ε4 allele and hippocampal atrophy, with the rate of hippocampal volume loss being greater for the ε4 carriers than for the non-carriers [47, 48].18F-FDG PET studies showed that, compared with non-carriers, asymptomatic carriers of the ApoE ε4 genotype show CMRglc reductions within the brain regions typically affected in clinical AD patients . They also showed greater CMRglc declines over time . Despite its well-established association with AD, the ApoE ε4 genotype has no clear familial pattern of transmission and appears to act as a risk modifier by lowering the age at onset of clinical symptoms, rather than as a causal determinant [19, 50–52].
Recent studies have shown an association between SORL1, located on chromosome 11, and LOAD. Genetic changes in SORL1 expression appear to be causally linked to the pathogenesis of AD and to increased risk for the disease . In particular, SNPs in different regions of SORL1 were associated with AD in multiple ethnically diverse samples [53–55] and also in the Translational Genomics Research Institute (TGEN) database . Evidence for various AD-associated haplotypes supports the notion that there may be a high degree of allelic heterogeneity, with disease-associated variants occurring on multiple different haplotypic backgrounds.
SORL1 encodes a protein that modulates subcel-lular trafficking of APP . Reduced expression of SORL1 leads to release of APP into endosomal pathways, where it is subjected to beta- and gamma-secretase cleavage, with subsequent production of Aβ. The SORL1 protein also belongs to a superfamily of low-density lipoprotein receptors (SorLA/LR11) which bind ApoE and are implicated in cholesterol metabolism and athero-genesis. There is evidence for reduced SORL1 expression in the brains of patients with AD, which was found to be associated with increased Aβ production . In AD patients, SORL1 variants associated with AD are also associated with whole-brain and hippocampal atrophy on MRI . Heterogeneity still remains in SORL1 alleles, however, and broad regions of SORL1 still need to be examined for functional pathogenic variants.
GAB2, on chromosome 11q, was recently ident-ified as a susceptibility gene for LOAD . A genome-wide association study reported that a hap-lotype encompassing six polymorphisms of the GAB2 gene is associated with a higher risk of developing AD,[60, 61] especially in ApoE ε4 allele carriers . The hypofunctional GAB2 haplotype is thought to be associated with a reduced GAB2-protective effect on neurones. GAB2 is a scaffolding protein involved in multiple signalling pathways, which is thought to protect cells from NFT formation and cell death . Neuronal micro-array studies provided evidence that GAB2 is biologically relevant to AD neuropathology by showing that LOAD cases had significantly greater neuronal GAB2 expression in the posterior cingu-late cortex and hippocampus than controls . The relationship between GAB2 polymorphisms and Aβ metabolism has not yet been established.
PCDH11X is a gene located on chromosome X encoding protocadherin 11. Protocadherin belongs to the cadherin family of cell surface receptor molecules. The cadherin proteins mediate cell-cell adhesion and have a role in cell signalling that is critical in the development of the central nervous system. Notably, some protocadherins are known to undergo presenilin-dependent processing . A genome-wide association study identified a SNP on chromosome X which resides in a haplotype block that falls entirely within PCDH11X and strongly segregated with LOAD . Female homozygotes showed a significantly increased risk for AD compared with female non-carriers, female heterozygotes and male hemizygotes . Moreover, female heterozygotes were at increased risk over female non-carriers, and male hemizygotes were at higher risk than male non-carriers . To obtain a perspective about the importance of PCDHX11 to LOAD, it is useful to compare the risk for LOAD associated with PCDHX11 with that for ApoE. The odds ratio for LOAD associated with the homozygous ApoE ε4 allele is 11.5, whereas for homozygous PCDH11X it is 1.75 (http://www.physorg.com/news150905504.html). These results await replication.
Recent genome-wide studies aimed at identifying memory-related gene variants have shown an association between the KIBRA gene on chromosome 5q and human memory performance [65, 66]. KIBRA is a cytoplasmic protein that is highly expressed in the brain and is a binding partner of dendrin, a putative modulator of synaptic plasticity. A SNP within the ninth intron of KIBRA was shown to influence episodic memory . There are two allelic variants of KIBRA (T and C), which result in three possible genotypes: TT, CT and CC. KIBRA T allele carriers (CT and TT genotypes) had better episodic memory performance than KIBRA CC carriers in young, middle-aged and elderly subjects [65, 66]. Moreover, KIBRA CC carriers had a moderate but significantly increased risk of AD compared with TT and CT carriers [67, 68].
In functional MRI (fMRI) studies, KIBRA CC carriers showed greater activation of the hippocampus and frontal and parietal cortex compared with the T allele carriers during an episodic memory task, suggesting that these memory retrieval-related regions had to work harder to perform the task in the T allele non-carriers [65, 67]. Moreover, 18F-FDG PET studies showed that cognitively normal KIBRA CC carriers had significantly lower CMRglc than KIBRA TT and CT carriers in the posterior cingulate cortex .
Although familial LOAD shows high heritability, which indicates genetic involvement, no well-replicated susceptibility genes have been identified to date, with the exception of ApoE and SORL1. Studies are mostly hindered by the fact that LOAD is a common complex disorder of old age, with multi-factorial causes, including genetic and environmental components. Such aetiological complexity makes identification of LOAD-related genes challenging, whereas an 'endophenotype approach' may afford some advantage . Measuring phenotypic variation in pre-selected, homogeneous populations may expedite the search for specific genotypes.
Family history of LOAD: Evidence for maternal transmission
Prevalence and risk
LOAD with a familial component (LOFAD), which includes:
Individuals with a parent, or both parents, affected with AD
Individuals with first-degree family members other than the parents affected with AD (ie siblings)
Individuals with second-degree family members affected with AD (ie aunts, uncles, grandparents)
Combinations of the above.
LOAD that appear to be sporadic in nature (LOSAD). These individuals are the first in their families to develop AD.
After advanced age, having a first-degree family history of LOAD is the most significant risk factor for developing AD among NL individuals [70, 71]. First-degree relatives of affected probands have a four- to tenfold higher risk for developing AD than the general population, with some variability depending on which family members are affected [72–74]. Children of affected parents are at especially high risk of AD, as confirmed in multi-ethnic studies . Although having one parent with AD is per se a major risk factor for developing AD in the offspring, individuals with both parents affected appear to be at even greater risk for AD, compared with those with one affected parent and with the general population [75, 76]. In general, individuals with LOFAD tend to develop dementia at younger ages than in LOSAD . Moreover, the age at onset of AD was lower in children with both parents with AD (mean age of onset 57 years, range 48-66) compared with children with one parent with AD (mean age of onset 60 years, range 50-80), and with those with no parents affected (mean age of onset 72 years, range 48-88) .
Prevalence of maternally vs paternally inherited late-onset Alzheimer's disease (AD)
There are no published studies that have examined whether cognitive performance deteriorates at younger ages in individuals with both parents affected, compared with those with one parent with AD. As individuals with both parents with AD are relatively rare (estimated prevalence is 3-5 per cent of the total AD population) their clinical profile has been poorly studied.
At present, the absolute risk to the offspring associated with either an affected mother or father is not known. There is a paucity of longitudinal studies in pre-symptomatic AD. It is not known whether the prevalence of cognitive decline from normal to AD is higher in children of AD mothers compared with children of AD fathers, or with different family history. The genetic and pathological mechanisms through which a parental, especially maternal, history of AD confers increased susceptibility to the offspring remain largely unknown. Genetically mediated risk for a large proportion of LOAD cases is evident from the familial aggregation of AD and is only partially explained by the risk conferred by ApoE ε4 alleles. The ApoE ε4 genotype is found in fewer than 40 per cent of LOFAD cases, and not everyone with an ApoE ε4 allele will develop AD. This indicates that other factors contribute to the aetiology and phenotypic expression of the disease. Thus far, these epidemiological and clinical findings have not been thoroughly characterised by the use of bio-markers, and LOFAD phenotypes have not been fully studied.
Brain imaging studies of maternal history of AD
Of relevance to the above results, 18F-FDG PET studies in NL elderly individuals showed that CMRglc reductions in AD brain regions both predict and correlate with the decline from normal cognition to MCI and AD [85, 86]. Reduced CMRglc at baseline accurately predicted future cognitive decline from normal to AD with 81 per cent accuracy, and from normal to MCI with 71 per cent accuracy . Over the study interval, the rate of CMRglc reduction was four times higher in the progressors to AD, than in the non-progressors .
The current observations suggest, and further longitudinal studies will be needed to confirm, that NL children of AD-affected mothers who have progressive CMRglc reductions in AD regions may be in the preclinical stages of AD. Clarification is also needed about whether an additive effect on regional hypometabolism occurs when both parents are AD affected. Finally, multi-modality imaging is warranted to assess the relationship between hypometa-bolism in children of AD mothers with Aβ and NFT pathology, or other biological markers of AD.
Searching for genes involved in maternally inherited AD
Classical genetic studies are challenging to perform in LOAD cases because the parents are usually not alive or the children are too young to manifest the phenotype of the disease. The above brain imaging findings in children of AD mothers provide a unique opportunity for studying and uncovering new genetically mediated risk factors for LOAD. Although Mendelian inheritance is not evident in LOFAD, the fact that children of affected individuals have an increased risk of developing the disease suggests a genetic component. Moreover, the fact that only children of affected mothers show CMRglc reductions consistent with AD, suggests a maternally inherited predisposition to brain 'energetic' failure. The most likely genetic mechanisms to explain maternally inherited AD would appear to be (in alphabetical order):
chromosome X-mediated transmission
mitochondrial DNA-mediated transmission
sex-specific trinucleotide repeat expansions-mediated transmission,
Chromosome X-linked diseases are disorders that reflect the presence of defective genes on the X chromosome. The vast majority of X-linked diseases are characterised by recessive transmission with the following features: 1) males are more frequently affected than females because they are hemizygous and the gene defect is not balanced by a normal X chromosome; 2) females are rarely affected because they need to be homozygous for the defective gene to manifest the phenotype; 3) there is no male-to-male transmission; 4) transmission of the defective gene occurs from fathers to daughters, who become carriers; 5) males born to a carrier mother have a 50 per cent probability of inheriting the X chromosome carrying the defective gene. Classical examples of X-linked transmission are red-green colour blindness and haemophilia A.
The presence of X-linked inheritance could be a possible explanation for the higher prevalence of maternal transmission of AD. As described above, the 'X-linked hypothesis' for a LOAD gene was supported by a recent genome-wide association study, which identified a strong association between LOAD and a mutation located on the PCDH11X gene on chromosome X . Female homozygotes were at significantly increased risk for AD compared with female non-carriers, female heterozygotes and male hemizy-gotes . Moreover, female heterozygotes were at greater risk than female non-carriers, and male hemi-zygotes were at higher risk than male non-carriers .
Although maternally inherited LOFAD and X-linked diseases may share some characteristics, several properties of recessive X-linked disorders do not apply to LOFAD. First, PCDH11X mutations were associated with higher risk in female homozygotes than male hemizygotes, which is contrary to what is usually found in X-linked recessive disorders . Secondly, there is no male-to-male transmission in X-linked inheritance, whereas father-to-son transmission has been reported in AD [79, 80]. Although limited by sample size, in the authors' PET studies, there was no evidence for gender effects in the offspring of AD mothers . Males with an AD mother did not show more severe hypometabolism when compared with females with AD mothers. These results need to be confirmed with larger data sets specifically to examine the interaction between family history and gender on brain metabolism and other variables.
Genomic imprinting is a genetic process by which certain genes are expressed in a parent-of-origin-specific manner, which does not follow classical Mendelian inheritance . While expression of the majority of genes derives from both inherited copies (alleles) of the gene, a small proportion (<1 per cent) of genes are imprinted, which means that gene expression occurs from only one allele. In the majority of cases, one of the parental alleles is completely silenced and gene expression is mono-allelic. This silencing mechanism is known to involve epigenetic marking by allele-specific DNA methylation and/or histone modifications . Differential epigenetic marking of the parental chromosomes results in differential reading by the transcriptional machinery and, as a consequence, gene expression is predominantly from one parental allele. For example, the gene encoding insulin-like growth factor 2 (IGF2/Igf2) is only expressed from the allele inherited from the father.
For a gene that is normally imprinted with paternal silencing, a mutation in the maternal copy of the gene will result in disease, while a mutation in the paternal copy will have no effect, and vice versa. According to the parental conflict hypothesis, paternal imprinting appears to be growth promoting, while maternal imprinting would be growth limiting . More specifically, the paternal genome maximises extraction of maternal resources for the benefit of the paternal offspring, at the expense of offspring from other embryos, possibly from different fathers. By contrast, the maternal genome limits nutrient provision to each individual embryo to distribute resources equally among her offspring, independent of the fathers. Irrespective of parental origin, the majority of imprinted genes in mammals have roles in the control of embryonic growth and development, including development of the placenta, and in post-natal development, with roles affecting suckling and metabolism .
Imprinted genes are susceptibility targets for numerous human pathologies because their functional haploid state enables a single genomic or epi-genomic change to dysregulate their function. Recent evidence has highlighted the role of genetic imprinting on brain function for Prader-Willi and Angelman syndromes, as well as more common disorders like diabetes, obesity, breast cancer, autism, bipolar disorder, Tourette's syndrome, epilepsy and even AD . Maternal imprinting may be a genetic mechanism responsible for the increased maternal inheritance in LOFAD cases. Some reports showed that the methylation process involved in imprinting is altered in AD patients, compared with controls . A genome-wide screening of AD families reported a linkage between LOAD and a region close to the centro-mere of chromosome 10 q only in families with an AD affected mother . While these findings suggest imprinting, there is no clear evidence for the existence of imprinted genes in AD families on chromosome 10 or on other chromosomes.
With respect to our 18F-FDG PET findings, hypometabolism in children of AD mothers suggests 'metabolic imprinting'. Metabolic imprinting refers to the epigenetic programming of metabolism during the prenatal and neonatal periods and may have long-term consequences for health . For example, glucocorticoid exposure in late pregnancy and foetal under-nutrition have been linked to increased risk for cardiovascular disease, obesity, type two diabetes and hypertension [87, 92]. In animal studies, most of the 80 known imprinted genes are expressed in the placenta and influence materno-foetal nutrient transfer during gestation and placental growth . Maternal nutrition itself was shown to have a role in hormonal imprinting. The presence of harmful substances or the lack of important substrates in the mother's diet can induce adult-onset disease in the progeny . Little is known about hormonal imprinting of the brain, however, and there are currently no studies that have examined imprinting as a source of metabolic dysregulation in AD.
Finally, there is evidence from animal models for X chromosome-linked imprinted genes that could influence sexually dimorphic neurobiology . The X chromosome is enriched for genes affecting neuro-development. Investigations into imprinted genes on chromosome X may provide insights into why women and men apparently show differential vulnerability to AD . As with chromosome X mutations, findings of gender effects on brain deficits would support a role for this mechanism in AD.
Mitochondrial disorders are entirely maternally inherited in humans and are characterised by variable phenotypic expression. Male and female progeny are equally likely to receive mutant maternal mitochondrial DNA (mtDNA). The same mtDNA mutation may affect different organs in different individuals, and may lead to minor or severe defects. The prominent role of mitochondrial function in regulating molecular processes involved in glucose metabolism suggests the possibility that mtDNA mutations, with resulting mitochondrial dysfunction and oxidative damage, may be involved in the patho-physiology of AD. Mitochondrial dysfunction may also be responsible for alterations in glucose metabolism in AD brain tissue  and the selective metabolic impairment in children of AD mothers. The fact that mtDNA is exclusively maternally inherited in humans lends support to this hypothesis.
Human mtDNA is a 16,569-kilobase circular, double-stranded molecule, which contains 37 genes: two rRNA genes, 22 tRNA genes and 13 structural genes that encode electron transport chain (ETC) subunits and the mitochondrial ATP synthase. While most ETC proteins (ie complex II, coenzyme Q and cytochrome c) are encoded by nuclear DNA, mtDNA encodes the catalytic components of complexes I, III, IV and V, all of which are essential for maintaining physiological oxidative phosphorylation (OXPHOS). OXPHOS is the process that accounts for the high ATP yield by the cells, and is essential to the maintenance of cellular homeostasis and function.
The brain has high energy requirements, contains a large number of mitochondria and is therefore highly susceptible to reductions in aerobic metabolism. Deficient energy metabolism may change the overall oxidative microenvironment for neurones during the pathogenesis of AD, rendering synapses more vulnerable to Aβ and tau pathology.
Mutations of mtDNA lead to a number of illnesses caused by inadequate energy supply that mostly present as neuromuscular diseases . These range from exercise intolerance to diseases with severe body-wide impact, such as the mitochon-drial encephalopathy, lactic acidosis and stroke syndrome (MELAS -- a rare form of dementia associated with seizures); headaches; muscle disease and stroke-induced paralysis; and Kearns-Sayre syndrome (KSS), which causes a person to lose full function of their heart, eye and muscle movements. In addition to mitochondrial myopathies, other mtDNA diseases include diabetes mellitus and deafness (DAD), Leber's hereditary optic neuropathy (LHON) and Leigh syndrome (see below).
For more than 15 years, evidence has accumulated that AD is associated with mitochondrial dysfunction, oxidative stress and increased reactive oxygen species (ROS) production. At postmortem, extensive oxidative stress is found in AD brains, in which basically all cellular macromolecules (protein, DNA, lipids) are found in an oxidised form [97–99]. A specific mitochondrial defect demonstrated in AD is reduced cytochrome oxidase (COX) activity in brain regions showing neuronal loss [100–104]. COX (ETC complex IV) is the mito-chondrial enzyme responsible for the activation of oxygen for aerobic energy metabolism and is critically tied to ATP production in mitochondria [105, 106]. COX is localised primarily in mitochondria near excitatory synapses in neuronal dendrites, and its activity is tightly linked to the regulation of CMRglc in the synapses . Preferentially reduced COX activity in AD was shown in several in vivo studies of blood platelets [107–112] and fibroblasts [100, 111, 113]. Platelet mitochondria COX activity was also signifi-cantly reduced in MCI patients compared with controls . Overall, these studies provide evidence for peripheral abnormalities in COX activity and increased oxidative stress in such cells as blood platelets and fibroblasts, which are non-degenerating tissues and should not be affected by brain pathology. This suggests that COX reductions may not be simply a secondary or epiphenomenal consequence of neurodegeneration, but may instead represent a systemic perturbation in AD.
Mitochondrial DNA mutations and haplotypes associated with late-onset AD
More frequent in
AD patients 
More frequent in
with AD 
Decreased risk of
the effect of ApoE
No effect of
in AD 
Increased risk in
risk in females 
Increased in AD
patients in a
Decreased AD risk
in a French-
Sex-specific trinucleotide repeat expansions
Trinucleotide repeat disorders (TRD) are a class of molecular diseases characterised by the presence of unstable and abnormal expansions of DNA triplets (trinucleotides). Mutations present as a subset of unstable repeats that occur throughout the genomic sequence, resulting in chromosomal instability. Generally, the larger the expansions, the more likely they are to cause disease or increase the severity of disease. This property results in the phenomenon of genetic anticipation, as is evident in TRDs, in which there is a tendency for age of onset to decrease and severity of symptoms to increase through successive generations of an affected family, due to the expansion of these repeats . Large increases or expansions in the number of trinucleotide tandem repeats are involved in a number of inherited neurodegenera-tive conditions, which appear to be specific to the gender of the transmitting parent. For example, in Huntington's disease there is an increased number of CAG repeats, and this condition is preferentially paternally inherited . Some neurological TRDs show a preferential maternal transmission, such as fragile X syndrome,  Friedreich ataxia,  spino-cerebellar ataxia type 8  and myotonic dystrophy . Trinucleotide expansions may also be involved in some cases of frontotemporal dementia, although results are not conclusive [135, 136]. There is currently no evidence for trinucleotide repeat expansions in AD.
Maternal transmission in neurological disorders other than AD
A wide spectrum of diseases has been associated with preferential maternal transmission resulting from various genetic mechanisms. Parkinson's disease has more common features with AD than the other disorders, and is therefore presented separately and in more detail.
Parkinsonian syndromes are movement disorders that can be divided into idiopathic Parkinson's disease (PD), multiple system atrophy (MSA) and parkinsonian syndromes (PDS) secondary to other conditions or exogenous agents. While MSA and PDS are purely movement disorders, it is not uncommon for PD patients to develop dementia . PD is a neurodegenerative disease that typically impairs motor skills, speech and other cognitive functions, and is characterised by muscle rigidity, tremor, bradykinesia (ie slowing of physical movement) and akinesia (ie loss of physical movement) in severe cases . The primary symptoms are the result of decreased stimulation of the motor cortex due to degeneration of dopaminergic neurones in the substantia nigra.
As in AD, epidemiological data indicate that the risk of developing PD is greater for a person whose mother was affected by the disease than for the offspring of an affected father [139, 140]. Moreover, only maternal transmission of PD was found to affect the age at onset in affected families .
Mitochondrial DNA mutations and haplotypes associated with Parkinson's disease (PD)
Haplogroup J, K
Lower PD risk
Van der Walt et al. 
Lower PD risk
Pyle et al. 
Higher PD and
Autere et al. 
Haplogroup I, J, K
for PD but
for PD with
Autere et al. 
10398G (J, K, I
Lower PD risk
Van der Walt et al.; 
Autere et al. 
Lower PD risk
(only in women)
Van der Walt et al. 
Kirchner et al. 
Huerta et al. 
More frequent in
Tan et al. 
The cybrid technique has provided an effective strategy for probing the role of mtDNA in PD as well as AD subjects . To summarise the results of PD cybrid studies, transferring PD platelet mito-chondria to mtDNA-depleted human cells produced cell lines with reduced complex I activity, elevated peroxide levels, increased antioxidant enzyme activities, altered calcium and signalling pathway homeostasis and cytoplasmic protein aggregations that contain a synuclein . Of great relevance to the imaging findings in children of AD mothers, a cybrid study in PD examined ETC activity of multiple members over three generations affected with PD through exclusively maternal lines and compared them with those of paternally descended family members . Compared with the cybrid lines containing mtDNA from paternal descendants, cybrid lines containing mtDNA from maternal descendants had lower complex I activity, increased ROS production and more abnormal mitochondrial morphologic features . These findings were present in cybrid lines containing mtDNA from maternal descendants affected with PD as well as in asymptomatic young maternal descendants . These data indicate that mtDNA mutations may be a primary genetic deficit in maternally inherited PD. There are currently no published imaging studies that have compared symptomatic or pre-symptomatic children of PD mothers with children of PD fathers.
Maternal transmission of other neurological disorders
Medical and neurological disorders with known or suspected maternal inheritance
mtDNA deletions present at
levels up to 80% of total
mtDNA. The most frequent is
4977 bp deletion
Paralysis of the extraocular
muscles, pigmentary retinopathy,
heart block, cerebellar ataxia and
elevated CSF proteins
Maceluch et al. 
lactic acidosis and
mtDNA mutation: A3243G
Children and young adults.
Recurrent vomiting, migraine-like
headache, stroke-like episodes
causing cortical blindness,
hemiparesis or hemianopia
Thambisetty et al. 
Myoclonic epilepsy with
ragged red fibres
mtDNA mutation: A8344G,
T8356C, G8363A (tRNALys)
mitochondrial myopathy and
cerebellar ataxia; less common
signs can include dementia,
hearing loss, peripheral
neuropathy and multiple lipomas
DiMauro et al. 
mtDNA mutation: T8993G,
T8993C (nt-8993 at the
Retinitis pigmentosa, dementia,
seizures, ataxia, proximal
weakness and sensory
Holt et al. 
Leigh syndrome (MILS)
mtDNA mutation: T8993G,
T8993C (nt-8993 at the
Symmetrical lesions in the basal
ganglia and the brainstem
Holt et al. 
Leber's hereditary optic
mtDNA mutation: G11778A
G3460A (ND1 gene),
T14484C (ND6 gene)
Acute or subacute loss of vision
in young adults due to bilaterally
Yen et al. 
mtDNA mutation in genes
encoding tRNALeu, tRNAIle and
Progressive paralysis of the
Silvestri et al. 
diabetes and deafness
mtDNA mutation: A3243G
Impaired glucose tolerance
deafness. Other symptoms are:
macular pattern dystrophy (86%),
myopathy (43%), cardiomyopathy
(15%), neurological abnormalities
and neuropsychiatric symptoms
(18%), gastrointestinal and renal
Hosszufalusi et al. 
Genomic imprinting: EJM-1
Pal et al. 
Multiple physical (motor) and
vocal (phonic) tics
Eapen et al. 
Intellectual and developmental
delay, sleep disturbance, seizures,
jerky movements, frequent
laughter or smiling and usually a
et al. 
Cook et al. 
Fragile X syndrome
Unstable expansions of a CGG
trinucleotide repeat located in
the first exon
(non-protein-coding) of the
FMR1 gene (for fragile X mental
Stereotypic movements and
atypical social development up
to autism. Cluttered or nervous
speech; intellectual disability
(from mild to severe); elongated
face, large or protruding ears, flat
feet and low muscle tone
Mandel et al. 
GAA repeat expansion
Ataxia, gait disturbance, speech
problems, heart disease
(in some cases)
La Pean et al. 
CTG repeat expansion
Muscle weakness, cataract,
Botta et al. 
Conclusions, implications and future challenges
Clinical and epidemiological studies show that maternally inherited AD may account for over 20 per cent of all LOAD cases, and children of AD mothers are at higher risk for developing AD than children of AD fathers. Brain 18F-FDG PET studies have shown that children of AD mothers are at risk of developing brain hypometabolism early in life, which may partially explain the increased predisposition. Genetic mechanisms involved with maternally inherited metabolic deficits in AD are under investigation.
Metabolic deficits in normal individuals with a maternal history of AD represent a unique opportunity for the initiation of AD therapies and general preventive methods years -- and possibly decades -- prior to the onset of the clinical disease, presumably well before significant neuronal loss occurs. CMRglc reductions in asymptomatic children of AD mothers can ideally be used as a surrogate marker of AD progression in clinical trials to test the potential of preventive treatments for AD . Moreover, they could be used as a biomarker of AD in quantitative trait genetic analysis, instead of standard case-control studies, to examine the genes involved in maternal transmission in AD. The combination of imaging and custom-tailored genetics may help to clarify whether changes in the nuclear or mitochondrial genome and transcriptome account for pathogenic ageing and AD.
It is important to underline that the genes involved in maternally inherited AD do not follow an autosomal dominant pattern of transmission, and penetrance does not appear to be high, as many children of mothers with AD do not develop the disease. Although the presence of a maternal history of AD indicates that children may be at higher risk, it does not imply that the children are carriers of the hypothesised mutated gene or allelic variant. The maternal link may not be the only cause of AD in the children, who may develop sporadic AD, or AD linked to non-maternal genetic risk factors for LOAD, however. All of these non-maternally inherited genetic or sporadic causes of AD may also lead individuals to develop a metabolic pattern comparable with that described in our studies. Moreover, the AD mothers may have sporadic LOAD, which would probably not be inherited by the children. In this case, multi-generational studies may help to identify individuals with a definite history of maternally inherited AD spanning two or more generations.
Finally, evidence for early metabolic deficits in the children of AD mothers suggests that this form of LOFAD may be both a neurodevelopmental and a neurodegenerative disorder. Several studies have hypothesised a direct relationship between early development and late-life neurodegeneration based on similarities between APP and the Notch protein, which is critically involved in central and peripheral nervous system development and, like APP, is cleaved by presenilins [169, 170]. APP was shown to be a ligand for death receptor 6 (DR6), which triggers neurodegeneration during embryonal development . In particular, in NGF knockout mice, trophic deprivation led to the cleavage of surface APP by beta-secretase, with generation of an N-APP fragment which bound DR6, triggering caspase activation and degeneration of both neuronal cell bodies (via caspase 3) and axons (via caspase 6) . Therefore, the pathological process in AD may begin as early as at birth, as a result of lack of trophic support and nutrients to the embryo. This observation suggests a role for metabolic imprinting in neurodegeneration in AD, which can only be maternally inherited.
In conclusion, integration of information from genetic, transcriptomic and proteomic studies, and from in vivo biomarkers, will greatly advance our understanding of the causes of AD, improve our ability to establish an early diagnosis, help to define disease subgroups and, ultimately, help to develop preventive treatments based on individuals' own pathophysiology.
This study was supported by NIH/NIA AG032554, AG13616, AG08051 and AG022407, and an anonymous foundation.
- Kukull WA, Higdon R, Bowen JD, McCormick WC, et al: Dementia and Alzheimer disease incidence: A prospective cohort study. Arch Neurol. 2002, 59: 1737-1746. 10.1001/archneur.59.11.1737.PubMedView ArticleGoogle Scholar
- Hebert LE, Scherr PA, Bienias JL, Bennett DA, et al: State-specific projections through 2025 of Alzheimer disease prevalence. Neurology. 2004, 62: 1645-10.1212/01.WNL.0000123018.01306.10.PubMedView ArticleGoogle Scholar
- Fratiglioni L, Grut M, Forsell Y, Viitanen M, et al: Prevalence of Alzheimer's disease and other dementias in an elderly urban population: Relationship with age sex, and education. Neurology. 1991, 41: 1886-1892. 10.1212/WNL.41.12.1886.PubMedView ArticleGoogle Scholar
- Brookmeyer R, Gray S, Kawas C: Projections of Alzheimer's disease in the United States and the public health impact of delaying disease onset. Am J Public Health. 1998, 88: 1337-1342. 10.2105/AJPH.88.9.1337.PubMed CentralPubMedView ArticleGoogle Scholar
- McKhann G, Drachman D, Folstein M, et al: Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology. 1984, 34: 939-944. 10.1212/WNL.34.7.939.PubMedView ArticleGoogle Scholar
- Ritchie K, Lovestone S: The dementias. Lancet. 2002, 360: 1759-1766. 10.1016/S0140-6736(02)11667-9.PubMedView ArticleGoogle Scholar
- Mosconi L, Brys M, Switalski R, Mistur R, et al: Maternal family history of Alzheimer's disease predisposes to reduced brain glucose metabolism. Proc Natl Acad Sci USA. 2007, 104: 19067-19072. 10.1073/pnas.0705036104.PubMed CentralPubMedView ArticleGoogle Scholar
- Small GW, Bookheimer SY, Thompson PM, et al: Current and future uses of neuroimaging for cognitively impaired patients. Lancet Neurol. 2008, 7: 161-172. 10.1016/S1474-4422(08)70019-X.PubMed CentralPubMedView ArticleGoogle Scholar
- Scheltens P, Fox N, Barkhof F, De Carli C: Structural magnetic resonance imaging in the practical assessment of dementia: Beyond exclusion. Lancet Neurol. 2002, 1: 13-21. 10.1016/S1474-4422(02)00002-9.PubMedView ArticleGoogle Scholar
- Mosconi L: Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. Eur J Nucl Med Mol Imaging. 2005, 32: 486-510. 10.1007/s00259-005-1762-7.PubMedView ArticleGoogle Scholar
- Silverman DHS, Gambhir SS, Huang HW, Schwimmer J, et al: Evaluating early dementia with and without assessment of regional cerebral metabolism by PET: A comparison of predicted costs and benefits. J Nucl Med. 2002, 43: 253-266.PubMedGoogle Scholar
- Herholz K, Carter SF, Jones M: Positron emission tomography imaging in dementia. Br J Radiol. 2007, 2: 160-167.View ArticleGoogle Scholar
- Mosconi L, Pupi A, de Leon MJ: Brain glucose hypo-metabolism and oxidative stress in preclinical Alzheimer's disease. Ann NY Acad Sci. 2009, 1147: 180-195.View ArticleGoogle Scholar
- Klunk WE, Engler H, Nordberg A, Yamming W, et al: Imaging brain amyloid in Alzheimer's disease with Pittsburgh compound-B. Ann Neurol. 2004, 55: 306-319. 10.1002/ana.20009.PubMedView ArticleGoogle Scholar
- Kemppainen N, Aalto S, Wilson I, Nagren K, et al: Voxel-based analysis of PET amyloid ligand [11C]PIB uptake in Alzheimer disease. Neurology. 2006, 67: 1575-1580. 10.1212/01.wnl.0000240117.55680.0a.PubMedView ArticleGoogle Scholar
- Pike KE, Savage G, Villemagne VL, Ng S, et al: Beta-amyloid imaging and memory in non-demented individuals: Evidence for preclinical Alzheimer's disease. Brain. 2007, 130: 2837-2844. 10.1093/brain/awm238.PubMedView ArticleGoogle Scholar
- Mintun MAM, LaRossa GN, Sheline YIM, Dence CSM, et al: [11C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease. Neurology. 2006, 67: 446-452. 10.1212/01.wnl.0000228230.26044.a4.PubMedView ArticleGoogle Scholar
- Fagan AM, Mintun MA, Mach RH, Lee S, et al: Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid. Ann Neurol. 2006, 59: 512-519. 10.1002/ana.20730.PubMedView ArticleGoogle Scholar
- Tanzi RE, Bertram L: New frontiers in Alzheimer's disease genetics. Neuron. 2001, 32: 181-184. 10.1016/S0896-6273(01)00476-7.PubMedView ArticleGoogle Scholar
- St George-Hyslop P: Molecular genetics of Alzheimer's disease. Biol Psychiatry. 2000, 47: 183-199. 10.1016/S0006-3223(99)00301-7.PubMedView ArticleGoogle Scholar
- Mirra SS, Heyman A, McKeel D, Sumi SM, et al: The consortium to establish a registry for Alzheimer's disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease. Neurology. 1991, 41: 479-486. 10.1212/WNL.41.4.479.PubMedView ArticleGoogle Scholar
- Price JL, Morris JC: Tangles and plaques in nondemen-ted aging and "preclinical" Alzheimer's disease. Ann Neurol. 1999, 45: 358-368. 10.1002/1531-8249(199903)45:3<358::AID-ANA12>3.0.CO;2-X.PubMedView ArticleGoogle Scholar
- Selkoe DJ: Alzheimer's disease: Genotypes, phenotype, and treatments. Science. 1997, 275: 630-631. 10.1126/science.275.5300.630.PubMedView ArticleGoogle Scholar
- Lue LF, Kuo YM, Roher AE, Brachova L, et al: Soluble amyloid beta peptide concentration as a predictor of synaptic change in Alzheimer's disease. Am J Pathol. 1999, 155: 853-862. 10.1016/S0002-9440(10)65184-X.PubMed CentralPubMedView ArticleGoogle Scholar
- Yankner BA, Davies LR, Fisher S, Villa-Komaroff L, et al: Neurotoxicity of a fragment of the amyloid precursor associated with Alzheimer's disease. Science. 1989, 245: 417-420. 10.1126/science.2474201.PubMedView ArticleGoogle Scholar
- Yankner BA, Duffy L, Kirschner D: Neurotrophic and neurotoxic effects of amyloid beta protein: Reversal by tachykinin neuropeptides. Science. 1990, 250: 279-282. 10.1126/science.2218531.PubMedView ArticleGoogle Scholar
- Geula C, Wu CK, Saroff D, Lorenzo A, et al: Aging renders the brain vulnerable to amyloid beta-protein neurotoxicity. Nat Med. 1998, 4: 827-831. 10.1038/nm0798-827.PubMedView ArticleGoogle Scholar
- Behl C, Davis J, Lesley R, Schubert D: Hydrogen peroxide mediates amyloid [beta]protein toxicity. Cell. 1994, 77: 817-827. 10.1016/0092-8674(94)90131-7.PubMedView ArticleGoogle Scholar
- Selkoe DJ: Clearing the brain's amyloid cobwebs. Neuron. 2001, 32: 177-180. 10.1016/S0896-6273(01)00475-5.PubMedView ArticleGoogle Scholar
- Kennedy AM, Frackowiak RSJ, Newman SK, Bloomfield PM, et al: Deficits in cerebral glucose metabolism demonstrated by positron emission tomography in individuals at risk of familial Alzheimer's disease. Neurosci Lett. 1995, 186: 17-20. 10.1016/0304-3940(95)11270-7.PubMedView ArticleGoogle Scholar
- Mosconi L, Sorbi S, de Leon MJ, Nacmias B, et al: Hypometabolism exceeds atrophy in presymptomatic early-onset familial Alzheimer's disease. J Nucl Med. 2006, 47: 1778-1786.PubMedGoogle Scholar
- Klunk WE, Price JC, Mathis CA, Tsopelas ND, et al: Amyloid deposition begins in the striatum of presenilin-1 mutation carriers from two unrelated pedigrees. J Neurosci. 2007, 27: 6174-6184. 10.1523/JNEUROSCI.0730-07.2007.PubMed CentralPubMedView ArticleGoogle Scholar
- Koivunen J, Verkkoniemi S, Aalto S, Paetau A, et al: PET amyloid ligand [11C]PIB uptake shows predominantly striatal increase in variant Alzheimer's disease. Brain. 2008, 131: 1845-1853. 10.1093/brain/awn107.PubMedView ArticleGoogle Scholar
- Remes AM, Laru L, Tuominen H, Aalto S, et al: Carbon 11-labeled Pittsburgh compound B positron emission tomographic amyloid imaging in patients with APP locus duplication. Arch Neurol. 2008, 65: 540-544. 10.1001/archneur.65.4.540.PubMedView ArticleGoogle Scholar
- Di Fede G, Catania M, Morbin M, Rossi G, et al: A recessive mutation in the APP gene with dominant-negative effect on amy-loidogenesis. Science. 2009, 323: 1473-1477. 10.1126/science.1168979.PubMed CentralPubMedView ArticleGoogle Scholar
- Tomiyama T, Nagata T, Shimada H, Teraoka R, et al: A new amyloid B variant favoring oligomerization in Alzheimer's-type dementia. Ann Neurol. 2008, 63: 377-387. 10.1002/ana.21321.PubMedView ArticleGoogle Scholar
- Gatz M, Reynolds CA, Fratiglioni L, Johansson B, et al: Role of genes and environments for explaining Alzheimer disease. Arch Gen Psychiatry. 2006, 63: 168-174. 10.1001/archpsyc.63.2.168.PubMedView ArticleGoogle Scholar
- Gatz M, Pedersen NL, Berg S, Johansson B, et al: Heritability for Alzheimer's disease: The study of dementia in Swedish twins. J Gerontol A Biol Sci Med Sci. 1997, 52: 117-125.View ArticleGoogle Scholar
- Raiha I, Kaprio J, Koskenvuo M, Johansson B, et al: Alzheimer's disease in Finnish twins. Lancet. 1996, 347: 573-578. 10.1016/S0140-6736(96)91272-6.PubMedView ArticleGoogle Scholar
- Strittmatter WJ, Saunders AM, Schmechel D, Pericak-Vance M, et al: Apolipoprotein E: High-avidity binding to b-amyloid and increased frequency of type 4 allele in late-onset familial Alzheimer disease. Proc Natl Acad Sci USA. 1993, 90: 1977-1981. 10.1073/pnas.90.5.1977.PubMed CentralPubMedView ArticleGoogle Scholar
- Schmechel DE, Saunders AM, Strittmatter WJ, Crain BJ, et al: Increased amyloid beta-peptide deposition in cerebral cortex as a consequence of apolipoprotein E genotype in late-onset Alzheimer disease. Proc Natl Acad Sci USA. 1993, 90: 9649-9653. 10.1073/pnas.90.20.9649.PubMed CentralPubMedView ArticleGoogle Scholar
- Holtzman DM, Bales KR, Tenkova T, Fagan AM, et al: Apolipoprotein E isoform-dependent amyloid deposition and neuritic degeneration in a mouse model of Alzheimer's disease. Proc Natl Acad Sci USA. 2000, 97: 2892-2897. 10.1073/pnas.050004797.PubMed CentralPubMedView ArticleGoogle Scholar
- Holtzman DM: Role of apoE/A interactions in the pathogenesis of Alzheimer's disease and cerebral amyloid angiopathy. J Mol Neurosci. 2001, 17: 147-155. 10.1385/JMN:17:2:147.PubMedView ArticleGoogle Scholar
- DeMattos RB: Apolipoprotein E dose-dependent modulation of beta-amyloid deposition in a transgenic mouse model of Alzheimer's disease. J Mol Neurosci. 2004, 23: 255-262. 10.1385/JMN:23:3:255.PubMedView ArticleGoogle Scholar
- Bennet DA, Schneider JA, Wilson RS, Bienias JL, et al: Amyloid mediates the association of apolipoprotein E e4 allele to cognitive function in older people. J Neurol Neurosurg Psych. 2005, 76: 1194-1199. 10.1136/jnnp.2004.054445.View ArticleGoogle Scholar
- Laws SM, Hone E, Gandy S, Martins RN: Expanding the association between the APOE gene and the risk of Alzheimer's disease: Possible roles for APOE promoter polymorphisms and alterations in APOE transcription. J Neurochem. 2003, 84: 1215-1236. 10.1046/j.1471-4159.2003.01615.x.PubMedView ArticleGoogle Scholar
- Reiman EM, Uecker A, Caselli RJ, Lewis S, et al: Hippocampal volumes in cognitively normal persons at genetic risk for Alzheimer's disease. Ann Neurol. 1998, 44: 288-291. 10.1002/ana.410440226.PubMedView ArticleGoogle Scholar
- Geroldi C, Pihlajamaki M, Laakso MP, DeCarli C, et al: APOE-epsilon4 is associated with less frontal and more medial temporal lobe atrophy in AD. Neurology. 1999, 53: 1825-1832. 10.1212/WNL.53.8.1825.PubMedView ArticleGoogle Scholar
- Small GW, Mazziotta JC, Collins MT, Baxter LR, et al: Apolipoprotein E type 4 allele and cerebral glucose metabolism in relatives at risk for familial Alzheimer disease. JAMA. 1995, 273: 942-947. 10.1001/jama.1995.03520360056039.PubMedView ArticleGoogle Scholar
- Small GW, Ercoli LM, Silverman DHS, Huang SC, et al: Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer's disease. Proc Natl Acad Sci USA. 2000, 97: 6037-6042. 10.1073/pnas.090106797.PubMed CentralPubMedView ArticleGoogle Scholar
- Reiman EM, Caselli RJ, Chen K, Alexander GE, et al: Declining brain activity in cognitively normal apolipoprotein E epsilon 4 heterozygotes: A foundation for using positron emission tomography to efficiently test treatments to prevent Alzheimer's disease. Proc Natl Acad Sci USA. 2001, 98: 3334-3339. 10.1073/pnas.061509598.PubMed CentralPubMedView ArticleGoogle Scholar
- Reiman EM, Chen K, Alexander GE, Caselli RJ, et al: Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia. Proc Natl Acad Sci USA. 2004, 101: 284-289. 10.1073/pnas.2635903100.PubMed CentralPubMedView ArticleGoogle Scholar
- Rogaeva E, Meng Y, Lee JH, Gu Y, et al: The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease. Nat Genet. 2007, 39: 168-177. 10.1038/ng1943.PubMed CentralPubMedView ArticleGoogle Scholar
- Lee JH, Cheng R, Schupf N, Manly J, et al: The association between genetic variants in SORL1 and Alzheimer disease in an urban, multiethnic, community-based cohort. Arch Neurol. 2007, 64: 501-506. 10.1001/archneur.64.4.501.PubMed CentralPubMedView ArticleGoogle Scholar
- Lee JH, Shibata N, Cheng R, Mayeux R: Possible association between SORL1 and Alzheimer disease?. Dement Geriatr Cogn Disord. 2008, 26: 482-10.1159/000167792.PubMed CentralPubMedView ArticleGoogle Scholar
- Meng Y, Lee JH, Cheng R, Mayeux R: Association between SORL1 and Alzheimer disease in a genome-wide study. Neuroreport. 2007, 18: 1761-1764. 10.1097/WNR.0b013e3282f13e7a.PubMed CentralPubMedView ArticleGoogle Scholar
- Dodson SE, Gearing M, Lippa CF, Montine TJ, et al: LR11/SorLA expression is reduced in sporadic Alzheimer disease but not in familial Alzheimer disease. J Neuropathol Exp Neurol. 2006, 65: 866-872. 10.1097/01.jnen.0000228205.19915.20.PubMed CentralPubMedView ArticleGoogle Scholar
- Kolsch H, Jessen F, Wiltfang J, Lewczuk P, et al: Influence of SORL1 gene variants: Association with CSF amyloid-beta products in probable Alzheimer's disease. Neurosci Lett. 2008, 440: 68-71. 10.1016/j.neulet.2008.05.049.PubMedView ArticleGoogle Scholar
- Cuenco KT, Lunetta KL, Baldwin CT, McKee AC, et al: Association of distinct variants in SORL1 with cerebrovascular and neurodegenerative changes related to Alzheimer disease. Arch Neurol. 2008, 65: 1640-1648. 10.1001/archneur.65.12.1640.PubMed CentralView ArticleGoogle Scholar
- Reiman EM, Webster JA, Myers AJ, Hardy J, et al: GAB2 alleles modify Alzheimer's risk in APOE e4 carriers. Neuron. 2007, 54: 713-720. 10.1016/j.neuron.2007.05.022.PubMed CentralPubMedView ArticleGoogle Scholar
- Sleegers K, Bettens K, Brouwers N, Engelborghs S, et al: Common variation in GRB-associated binding protein 2 (GAB2) and increased risk for Alzheimer dementia. Hum Mutat. 2008, 29: 338-344.Google Scholar
- Gu H, Saito K, Klaman LD, Fleming T, et al: Essential role for Gab2 in the allergic response. Nature. 2001, 412: 186-190. 10.1038/35084076.PubMedView ArticleGoogle Scholar
- Haas IG, Frank M, Veron N, Kemler R: Presenilin-dependent processing and nuclear function of gamma-protocadherins. J Biol Chem. 2005, 280: 9313-9319.PubMedView ArticleGoogle Scholar
- Carrasquillo MM, Zou F, Pankratz VS, Wilcox SL, et al: Genetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer's disease. Nat Genet. 2009, 41: 192-198. 10.1038/ng.305.PubMed CentralPubMedView ArticleGoogle Scholar
- Papassotiropoulos A, Stephan DA, Huentelman MJ, Hoerndli FJ, et al: Common KIBRA alleles are associated with human memory performance. Science. 2006, 314: 475-478. 10.1126/science.1129837.PubMedView ArticleGoogle Scholar
- Almeida OP, Schwab SG, Lautenschlager NT, Morar B, et al: KIBRA genetic polymorphism influences episodic memory in later life, but does not increase the risk of mild cognitive impairment. J Cell Mol Med. 2008, 12: 1672-1676. 10.1111/j.1582-4934.2008.00229.x.PubMed CentralPubMedView ArticleGoogle Scholar
- Corneveaux JJ, Liang WS, Reiman EM, et al: Evidence for an association between KIBRA and late-onset Alzheimer's disease. Neurobiol Aging. 2008, doi:10.1016/jneurobiolaging2008.07.Google Scholar
- Rodriguez-Rodriguez E, Infanti J, Llorca J, Mateo I, et al: Age-dependent association of KIBRA genetic variation and Alzheimer's disease risk. Neurobiol Aging. 2009, 30: 322-324. 10.1016/j.neurobiolaging.2007.07.003.PubMedView ArticleGoogle Scholar
- Mayeux R, Hyslop PS: Alzheimer's disease: Advances in trafficking. Lancet Neurol. 2008, 7: 2-3. 10.1016/S1474-4422(07)70298-3.PubMed CentralPubMedView ArticleGoogle Scholar
- Farrer LA, Cupples LA, Haines JL, Hyman B, et al: Effects of age, sex, and ethnicity on the association between apolipo-protein E genotype and Alzheimer disease. JAMA. 1997, 278: 1349-1356. 10.1001/jama.1997.03550160069041.PubMedView ArticleGoogle Scholar
- Silverman JM, Raiford K, Edland S, Fillenbaum G, et al: The consortium to establish a registry for Alzheimer's disease (CERAD). Part VI. Family history assessment: A multicenter study of first degree relatives of Alzheimer's disease probands and nondemented spouse controls. Neurology. 1994, 44: 1253-1259. 10.1212/WNL.44.7.1253.PubMedView ArticleGoogle Scholar
- Cupples LA, Farrer LA, Sadovnik AD, Relkin N, et al: Estimating risk curves for first-degree relatives of patients with Alzheimer's disease: The REVEAL study. Genet Med. 2004, 6: 192-196. 10.1097/01.GIM.0000132679.92238.58.PubMedView ArticleGoogle Scholar
- Green RC, Cupples LA, Go R, Benke KS, et al: Risk of dementia among white and African American relatives of patients with Alzheimer disease. JAMA. 2002, 287: 329-336. 10.1001/jama.287.3.329.PubMedView ArticleGoogle Scholar
- Silverman JM, Ciresi G, Smith CJ, Marin DB, et al: Variability of familial risk of Alzheimer disease across the late life span. Arch Gen Psychiat. 2005, 62: 565-573. 10.1001/archpsyc.62.5.565.PubMedView ArticleGoogle Scholar
- Jayadev S, Steinbart EJ, Chi YY, Kukull WA, et al: Conjugal Alzheimer disease. Arch Neurol. 2008, 65: 373-378. 10.1001/archneurol.2007.61.PubMedView ArticleGoogle Scholar
- Bird TD, Nemens EJ, Kukull WA: Conjugal Alzheimer's disease: Is there an increased risk in offspring?. Ann Neurol. 1993, 34: 396-399. 10.1002/ana.410340315.PubMedView ArticleGoogle Scholar
- Duara R, Lopez-Alberola RF, Barker WW, Loewenstein DA, et al: A comparison of familial and sporadic Alzheimer's disease. Neurology. 1993, 43: 1377-1384. 10.1212/WNL.43.7.1377.PubMedView ArticleGoogle Scholar
- Edland SD, Silverman JM, Peskind ER, Tsuang D, et al: Increased risk of dementia in mothers of Alzheimer's disease cases: Evidence for maternal inheritance. Neurology. 1996, 47: 254-256. 10.1212/WNL.47.1.254.PubMedView ArticleGoogle Scholar
- Ehrenkrantz D, Silverman JM, Smith CJ, Tsuang D, et al: Genetic epidemiological study of maternal and paternal transmission of Alzheimer's disease. Am J Med Genet. 1999, 88: 378-382. 10.1002/(SICI)1096-8628(19990820)88:4<378::AID-AJMG15>3.0.CO;2-8.PubMedView ArticleGoogle Scholar
- Gomez-Tortosa E, Barquero MS, Baron M, Saint HJ, et al: Variability of age at onset in siblings with familial Alzheimer disease. Arch Neurol. 2007, 64: 1743-1748. 10.1001/archneur.64.12.1743.PubMedView ArticleGoogle Scholar
- Heyman A, Wilkinson WE, Hurwitz BJ, Schmechel D, et al: Alzheimer's disease: Genetic aspects and associated clinical disorders. Ann Neurol. 1983, 14: 507-515. 10.1002/ana.410140503.PubMedView ArticleGoogle Scholar
- Seshadri S, Wolf PA, Beiser A, Au R, et al: Lifetime risk of dementia and Alzheimer's disease: Estimates from the Framingham study. Neurology. 1996, 46: 411-412.Google Scholar
- Duara R, Barker WW, Lopez-Alberola R, Loewenstein DA, et al: Alzheimer's disease: Interaction of apolipoprotein E genotype, family history of dementia, gender, education, ethnicity, and age of onset. Neurology. 1996, 46: 1575-1579. 10.1212/WNL.46.6.1575.PubMedView ArticleGoogle Scholar
- Mosconi L, Mistur R, Glodzik L, Brys M, et al: Declining brain glucose metabolism in normal individuals with a maternal history of Alzheimer's. Neurology. 2009, 72: 513-520. 10.1212/01.wnl.0000333247.51383.43.PubMed CentralPubMedView ArticleGoogle Scholar
- de Leon MJ, Convit A, Wolf OT, Tarshish CY, et al: Prediction of cognitive decline in normal elderly subjects with 2-[18F]fluoro-2-deoxy-D-glucose/positron-emission tomography (FDG/PET). Proc Natl Acad Sci USA. 2001, 98: 10966-10971. 10.1073/pnas.191044198.PubMed CentralPubMedView ArticleGoogle Scholar
- Mosconi L, De Santi S, Li J, Tsui WH, et al: Hippocampal hypometabolism predicts cognitive decline from normal aging. Neurobiol Aging. 2008, 29: 676-692. 10.1016/j.neurobiolaging.2006.12.008.PubMed CentralPubMedView ArticleGoogle Scholar
- Constancia M, Kelsey G, Relk W: Resourceful imprinting. Nature. 2004, 432: 53-57. 10.1038/432053a.PubMedView ArticleGoogle Scholar
- Gold JD, Pedersen RA: Mechanisms of genomic imprinting in mammals. Curr Top Dev Biol. 1994, 29: 227-280.PubMedView ArticleGoogle Scholar
- Moore T, Haig D: Genomic imprinting in mammalian development: A parental tug-of-war. Trends Genet. 1991, 7: 45-49.PubMedView ArticleGoogle Scholar
- Payao SL, Smith MD, Bertolucci PH: Differential chromosome sensitivity to 5-azacytidine in Alzheimer's disease. Gerontology. 1998, 44: 267-271. 10.1159/000022023.PubMedView ArticleGoogle Scholar
- Bassett SS, Avramopoulos D, Fallin D: Evidence for parent of origin effect in late-onset Alzheimer disease. Am J Med Genet. 2002, 114: 679-686. 10.1002/ajmg.10648.PubMedView ArticleGoogle Scholar
- Csaba G: Hormonal imprinting: Phylogeny, ontogeny, diseases and possible role in present-day human evolution. Cell Biochem Funct. 2008, 26: 1-10. 10.1002/cbf.1412.PubMedView ArticleGoogle Scholar
- Wilkinson LS, Davies W, Isles AR: Genomic imprinting effects on brain development and function. Nat Rev Neurosci. 2007, 8: 832-843. 10.1038/nrn2235.PubMedView ArticleGoogle Scholar
- Davies W, Isles A, Smith R, Karunadasa D, et al: Xlr3b is a new imprinted candidate for X-linked parent-of-origin effects on cognitive function in mice. Nat Genet. 2005, 37: 625-629. 10.1038/ng1577.PubMedView ArticleGoogle Scholar
- Lin MT, Beal MF: Mitochondrial dysfunction and oxidative stress in neurodegenerative diseases. Nature. 2006, 443: 787-795. 10.1038/nature05292.PubMedView ArticleGoogle Scholar
- Schapira AH: Mitochondrial disease. Lancet. 2006, 368: 70-82. 10.1016/S0140-6736(06)68970-8.PubMedView ArticleGoogle Scholar
- Smith MA, Sayre LM, Monnier VM, Perry G: Radical AGEing in Alzheimer's disease. Trends Neurosci. 1995, 18: 172-176. 10.1016/0166-2236(95)93897-7.PubMedView ArticleGoogle Scholar
- Mecocci P, MacGarvey U, Beal MF: Oxidative damage to mitochondrial DNA is increased in Alzheimer's disease. Ann Neurol. 1994, 36: 747-750. 10.1002/ana.410360510.PubMedView ArticleGoogle Scholar
- Subbarao KV, Richardson JS, Ang LC: Autopsy samples of Alzheimer's cortex show increased peroxidation in vitro. J Neurochem. 1990, 55: 342-345. 10.1111/j.1471-4159.1990.tb08858.x.PubMedView ArticleGoogle Scholar
- Swerdlow RH: Treating neuro degeneration by modifying mitochondria: Potential solutions to a "complex" problem. Antiox Redox Signal. 2007, 9: 1591-1604. 10.1089/ars.2007.1676.View ArticleGoogle Scholar
- Mutisya EM, Bowling AC, Beal MF: Cortical cyto-chrome oxidase activity is reduced in Alzheimer's disease. J Neurochem. 1994, 63: 2179-2184.PubMedView ArticleGoogle Scholar
- Hirai K, Aliev G, Nunomura A, Fujioka H, et al: Mitochondrial abnormalities in Alzheimer's disease. J Neurosci. 2001, 21: 3017-3023.PubMedGoogle Scholar
- Valla J, Berndt JD, Gonzales-Lima F: Energy hypometa-bolism in posterior cingulate cortex of Alzheimer's patients: Superficial laminar cytochrome oxidase associated with disease duration. J Neurosci. 2001, 21: 4923-4930.PubMedGoogle Scholar
- Simonian NA, Hyman BT: Functional alterations in Alzheimer's disease: Selective loss of mitochondrial-encoded cyto-chrome oxidase mRNA in the hippocampal formation. J Neuropathol Exp Neurol. 1994, 53: 508-512. 10.1097/00005072-199409000-00010.PubMedView ArticleGoogle Scholar
- Wong-Riley MTT: Cytochrome oxidase: An endogenous metabolic marker for neuronal activity. Trends Neurosci. 1989, 12: 94-101. 10.1016/0166-2236(89)90165-3.PubMedView ArticleGoogle Scholar
- Hevner RF, Wong-Riley MT: Neuronal expression of nuclear and mitochondrial genes for cytochrome oxidase (CO) subunits analyzed by in situ hybridization: Comparison with CO activity and protein. J Neurosci. 1991, 11: 1942-1958.PubMedGoogle Scholar
- Parker WD, Filley CM, Parks JK: Cytochrome oxidase deficiency in Alzheimer's disease. Neurology. 1990, 40: 1302-1303. 10.1212/WNL.40.8.1302.PubMedView ArticleGoogle Scholar
- Parker WD, Mahr NJ, Filley CM, Parks JK, et al: Reduced platelet cytochrome c oxidase activity in Alzheimer's disease. Neurology. 1994, 44: 1086-1090. 10.1212/WNL.44.6.1086.PubMedView ArticleGoogle Scholar
- Chandrasekaran K, Hatanpää K, Rapoport SI, Brady DR: Decreased expression of nuclear and mitochondrial DNA-encoded genes of oxidative phosphorylation in association neocortex in Alzheimer disease. Brain Res Mol Brain Res. 1997, 44: 99-104.PubMedView ArticleGoogle Scholar
- Bosetti F, Brizzi F, Barogi S, Mancuso M, et al: Cytochrome c oxidase and mitochondrial F1F0-ATPase (ATP synthase) activities in platelets and brain from patients with Alzheimer's disease. Neurobiol Aging. 2002, 23: 371-376. 10.1016/S0197-4580(01)00314-1.PubMedView ArticleGoogle Scholar
- Cardoso SM, Proenca MT, Santos S, de Oliveira CR: Cytochrome c oxidase is decreased in Alzheimer's disease platelets. Neurobiol Aging. 2004, 25: 105-110. 10.1016/S0197-4580(03)00033-2.PubMedView ArticleGoogle Scholar
- Valla J, Schneider L, Niedzielko T, Coon KD, et al: Impaired platelet mitochondrial activity in Alzheimer's disease and mild cognitive impairment. Mitochondrion. 2006, 6: 323-330. 10.1016/j.mito.2006.10.004.PubMed CentralPubMedView ArticleGoogle Scholar
- Curti D, Rognoni F, Gasparini L, Cattaneo A, et al: Oxidative metabolism in cultured fibroblasts derived from sporadic Alzheimer's disease (AD) patients. Neurosci Lett. 1997, 236: 13-16. 10.1016/S0304-3940(97)00741-6.PubMedView ArticleGoogle Scholar
- Kish SJ, Bergeron C, Rajput AH, Dozic S, et al: Brain cytochrome oxidase in Alzheimer's disease. J Neurochem. 1992, 59: 776-779. 10.1111/j.1471-4159.1992.tb09439.x.PubMedView ArticleGoogle Scholar
- Lucas JJ, Kates JR: The construction of viable nuclear-cytoplasmic hybrid cells by nuclear transplantation. Cell. 1976, 7: 397-405. 10.1016/0092-8674(76)90169-0.PubMedView ArticleGoogle Scholar
- Swerdlow RH, Khan SM: A "mitochondrial cascade hypothesis" for sporadic Alzheimer's disease. Med Hypotheses. 2004, 63: 8-20. 10.1016/j.mehy.2003.12.045.PubMedView ArticleGoogle Scholar
- Swerdlow RH, Parks JK, Cassarino DS, Maguire DJ, et al: Cybrids in Alzheimer's disease: A cellular model of the disease?. Neurology. 1997, 49: 918-925. 10.1212/WNL.49.4.918.PubMedView ArticleGoogle Scholar
- Khan SM, Cassarino DS, Abramova NN, Keeney PM, et al: Alzheimer's disease cybrids replicate beta-amyloid abnormalities through cell death pathways. Ann Neurol. 2000, 48: 148-155. 10.1002/1531-8249(200008)48:2<148::AID-ANA3>3.0.CO;2-7.PubMedView ArticleGoogle Scholar
- Trimmer PA, Swerdlow RH, Parks JK, Keeney PM, et al: Abnormal mitochondrial morphology in sporadic Parkinson's and Alzheimer's disease cybrid cell lines. Exp Neurol. 2000, 162: 37-50. 10.1006/exnr.2000.7333.PubMedView ArticleGoogle Scholar
- Cardoso SM, Santana I, Swerdlow RH, Oliveira CR: Mitochondria dysfunction of Alzheimer's disease cybrids enhances Abeta toxicity. J Neurochem. 2004, 89: 1417-1426. 10.1111/j.1471-4159.2004.02438.x.PubMedView ArticleGoogle Scholar
- Coskun PE, Beal MF, Wallace DC: Alzheimer's brains harbor somatic mtDNA controlregion mutations that suppress mito-chondrial transcription and replication. Proc Natl Acad Sci USA. 2004, 101: 10726-10731. 10.1073/pnas.0403649101.PubMed CentralPubMedView ArticleGoogle Scholar
- Chinnery PF, Taylor GA, Howell N, Brown DT, et al: Point mutations of the mtDNA control region in normal and neurode-generative human brains. Am J Hum Genet. 2001, 68: 529-532. 10.1086/318204.PubMed CentralPubMedView ArticleGoogle Scholar
- Corral-Debrinski M, Horton T, Lott MT, Shoffner JM, et al: Marked changes in mitochondrial DNA deletion levels in Alzheimer brains. Genomics. 1994, 23: 471-476. 10.1006/geno.1994.1525.PubMedView ArticleGoogle Scholar
- Egensperger R, Kosel S, Schnopp NM, Mehraein P, et al: Association of the mitochondrial tRNA(A4336G) mutation with Alzheimer's and Parkinson's diseases. Neuropathol Appl Neurobiol. 1997, 23: 315-321. 10.1111/j.1365-2990.1997.tb01301.x.PubMedView ArticleGoogle Scholar
- Shoffner JM, Brown MD, Torroni A, Lott MT, et al: Mitochondrial DNA variants observed in Alzheimer disease and Parkinson disease patients. Genomics. 1993, 17: 171-184. 10.1006/geno.1993.1299.PubMedView ArticleGoogle Scholar
- Wragg MA, Talbot CJ, Morris JC, Lendon CL, et al: No association found between Alzheimer's disease and a mitochondrial tRNA glutamine gene variant. Neurosci Lett. 1995, 201: 107-110. 10.1016/0304-3940(95)12146-3.PubMedView ArticleGoogle Scholar
- Carrieri G, Bonafe M, De Luca M, Rose G, et al: Mitochondrial DNA haplogroups and APOE4 allele are non-independent variables in sporadic Alzheimer's disease. Hum Genet. 2001, 108: 194-198. 10.1007/s004390100463.PubMedView ArticleGoogle Scholar
- van der Walt JM, Dementieva YA, Martin ER, Scott WK, et al: Analysis of European mitochondrial haplogroups with Alzheimer disease risk. Neurosci Lett. 2004, 365: 28-32. 10.1016/j.neulet.2004.04.051.PubMedView ArticleGoogle Scholar
- Chagnon P, Gee M, Filion M, Robitaille Y, et al: Phylogenetic analysis of the mitochondrial genome indicates significant differences between patients with Alzheimer disease and controls in a French-Canadian founder population. Am J Med Genet. 1999, 85: 20-30. 10.1002/(SICI)1096-8628(19990702)85:1<20::AID-AJMG6>3.0.CO;2-K.PubMedView ArticleGoogle Scholar
- Brouwer JR, Willemsen R, Oostra BA: Microsatellite repeat instability and neurological disease. Bioessays. 2009, 31: 71-83. 10.1002/bies.080122.PubMed CentralPubMedView ArticleGoogle Scholar
- Kehoe JP, Krawczak M, Harper PS, Owen MJ, et al: Age of onset in Huntington disease: Sex specific influence of apolipoprotein E genotype and normal CAG repeat length. J Med Genet. 1999, 36: 108-111.PubMed CentralPubMedGoogle Scholar
- Mandel JL, Biancalana V: Fragile X mental retardation syndrome: From pathogenesis to diagnostic issue. Growth Horm IGF Res. 2004, 14 (Suppl 1): 158-165.View ArticleGoogle Scholar
- La Pean A, Jeffries N, Grow C, Ravina B, et al: Predictors of progression in patients with Friedreich ataxia. Mov Disord. 2008, 23: 2026-2032.PubMedGoogle Scholar
- Botta A, Rinaldi F, Catalli C, Vergani L, et al: The CTG repeat expansion size correlates with the splicing defects observed in muscles from myotonic dystrophy type 1 patients. J Med Genet. 2009, 45: 639-646.View ArticleGoogle Scholar
- Ashworth A, Lloyd S, Brown J, Gydesen S, et al: Molecular genetic characterisation of frontotemporal dementia on chromosome 3. Dement Geriatr Cogn Disord. 1999, 10: 93-101. 10.1159/000051222.PubMedView ArticleGoogle Scholar
- Mackenzie IR, Butland SL, Devon RS, Dwosh E, et al: Familial frontotemporal dementia with neuronal intranuclear inclusions is not a polyglutamine expansion disease. BMC Neurol. 2006, 6: 32-38. 10.1186/1471-2377-6-32.PubMed CentralPubMedView ArticleGoogle Scholar
- Samii A, Nutt JG, Ransom BR: Parkinson's disease. Lancet. 2004, 363: 1783-1793. 10.1016/S0140-6736(04)16305-8.PubMedView ArticleGoogle Scholar
- Wider C, Wszolek ZK: Movement disorders: Insights into mechanisms and hopes for treatment. Lancet Neurol. 2009, 8: 8-10. 10.1016/S1474-4422(08)70273-4.PubMedView ArticleGoogle Scholar
- Banerjee R, Starkov AA, Beal MF, Thomas B: Mitochondrial dysfunction in the limelight of Parkinson's disease pathogenesis. Biochim Biophys Acta. 2008, 1792: 651-663.PubMed CentralPubMedView ArticleGoogle Scholar
- Swerdlow RH, Parker WD, Currie LJ, Bennett JP, et al: Gender ratio differences between Parkinson's disease patients and their affected relatives. Parkinsonism Relat Disord. 2001, 7: 129-133. 10.1016/S1353-8020(00)00029-8.PubMedView ArticleGoogle Scholar
- Wooten GF, Currie LJ, Bennet JP, Harrison MB, et al: Maternal inheritance in Parkinson's disease. Ann Neurol. 1997, 41: 265-268. 10.1002/ana.410410218.PubMedView ArticleGoogle Scholar
- van der Walt JM, Nicodemus KK, Martin ER, Scott WK, et al: Mitochondrial polymorphisms significantly reduce the risk of Parkinson disease. Am J Hum Genet. 2003, 72: 804-811. 10.1086/373937.PubMed CentralPubMedView ArticleGoogle Scholar
- Pyle A, Foltynie T, Tiangyou W, Lambert C, et al: Mitochondrial DNA haplogroup cluster UKJT reduces the risk of PD. Ann Neurol. 2005, 57: 564-567. 10.1002/ana.20417.PubMedView ArticleGoogle Scholar
- Autere J, Moilanen JS, Finnila S, Soininen H, et al: Mitochondrial DNA polymorphisms as risk factors for Parkinson's disease and Parkinson's disease dementia. Hum Genet. 2004, 115: 29-35. 10.1007/s00439-004-1123-9.PubMedView ArticleGoogle Scholar
- Kirchner SC, Hallagan SE, Farin FM, Dilley J, et al: Mitochondrial ND1 sequence analysis and association of the T4216C mutation with Parkinson's disease. Neurotoxicology. 2000, 21: 441-445.PubMedGoogle Scholar
- Huerta C, Castro MG, Coto E, Blazquez M, et al: Mitochondrial DNA polymorphisms and risk of Parkinson's disease in Spanish population. J Neurol Sci. 2005, 236: 49-54. 10.1016/j.jns.2005.04.016.PubMedView ArticleGoogle Scholar
- Tan EK, Khajavi M, Thornby JI, Nagamitsu S, et al: Variability and validity of polymorphism association studies in Parkinson's disease. Neurology. 2000, 55: 533-538. 10.1212/WNL.55.4.533.PubMedView ArticleGoogle Scholar
- Langston JW, Ballard PA, Tetrud JW, Irwin I: Chronic parkinsonism in humans due to a product of meperidine-analog synthesis. Science. 1983, 219: 979-980. 10.1126/science.6823561.PubMedView ArticleGoogle Scholar
- Betarbet R, Sherer TB, MacKenzie G, Garcia-Osuna M, et al: Chronic systemic pesticide exposure reproduces features of Parkinson's disease. Nat Neurosci. 2000, 3: 1301-1306. 10.1038/81834.PubMedView ArticleGoogle Scholar
- Schapira AHV, Cooper JM, Dexter D, Jenner P, et al: Mitochondrial complex I deficiency in Parkinson's disease. Lancet. 1989, 1: 1269-PubMedView ArticleGoogle Scholar
- Bindoff LA, Birch-Machin M, Cartlidge NEF, Parker WDJ, et al: Mitochondrial function in Parkinson's disease. Lancet. 1989, 2: 49-PubMedView ArticleGoogle Scholar
- Parker WD, Boyson SJ, Parks JK: Electron transport chain abnormalities in idiopathic Parkinson's disease. Ann Neurol. 1989, 26: 719-723. 10.1002/ana.410260606.PubMedView ArticleGoogle Scholar
- Schapira AH: Mitochondrial dysfunction in Parkinson's disease. Cell Death Differ. 2007, 14: 1261-1266. 10.1038/sj.cdd.4402160.PubMedView ArticleGoogle Scholar
- Swerdlow RH, Parks JK, Miller SW, Tuttle JB, et al: Origin and functional consequences of the complex I defect in Parkinson's disease. Ann Neurol. 1996, 40: 663-671. 10.1002/ana.410400417.PubMedView ArticleGoogle Scholar
- Swerdlow RH: Mitochondria in cybrids containing mtDNA from persons with mitochondriopathies. J Neurosci Res. 2007, 85: 3416-3428. 10.1002/jnr.21167.PubMedView ArticleGoogle Scholar
- Swerdlow RH, Parks JK, Davis JN, Cassarino DS, et al: Matrilineal inheritance of complex I dysfunction in a multigenerational Parkinson's disease family. Ann Neurol. 1998, 44: 873-881. 10.1002/ana.410440605.PubMedView ArticleGoogle Scholar
- Maceluch JA, Niedziela M: The clinical diagnosis and molecular genetics of Kearns-Sayre syndrome: A complex mitochondrial encephalomyopathy. Pediatr Endocrinol Rev. 2007, 4: 117-137.Google Scholar
- Thambisetty M, Newman NJ: Diagnosis and management of MELAS. Expert Rev Mol Diagn. 2004, 4: 631-644. 10.1586/14737126.96.36.1991.PubMedView ArticleGoogle Scholar
- DiMauro S, Hirano M, Kaufmann P, Tanji K, et al: Clinical features and genetics of myoclonic epilepsy with ragged red fibers. Adv Neurol. 2002, 89: 217-229.PubMedGoogle Scholar
- Holt IJ, Harding AE, Petty RKH, Morgan-Hughes JA: A new mitochondrial disease associated with mitochon-drial DNA heteroplasmy. Am J Hum Genet. 1990, 46: 428-433.PubMed CentralPubMedGoogle Scholar
- Yen MY, Wang AG, Wei YH: Leber's hereditary optic neuropathy: A multifactorial disease. Prog Retin Eye Res. 2006, 25: 381-396. 10.1016/j.preteyeres.2006.05.002.PubMedView ArticleGoogle Scholar
- Silvestri G, Servidei S, Rana M, Ricci E, et al: A novel mitochondrial DNA point mutation in the tRNAIle gene is associated with progressive external ophthalmoplegia. Biochem Biophys Res Comm. 1996, 220: 623-627. 10.1006/bbrc.1996.0453.PubMedView ArticleGoogle Scholar
- Hosszufalusi N, Karcagi V, Horvath R, Palik E, et al: A detailed investigation of maternally inherited diabetes and deafness (MIDD) including clinical characteristics, C-peptide secretion, HLA-DR and -DQ status and autoantibody pattern. Diabetes Metab Res Rev. 2009, 25: 127-135. 10.1002/dmrr.841.PubMedView ArticleGoogle Scholar
- Pal DK, Durner M, Klotz I, Dicker E, et al: Complex inheritance and parent-of-origin effect in juvenile myoclonic epilepsy. Brain Dev. 2006, 28: 92-98. 10.1016/j.braindev.2005.05.009.PubMed CentralPubMedView ArticleGoogle Scholar
- Eapen V, O'Neill J, Gurling HM, Robertson MM: Sex of parent transmission effect in Tourette's syndrome: Evidence for earlier age at onset in maternally transmitted cases suggests a genomic imprinting effect. Neurology. 1997, 48: 801-802. 10.1212/WNL.48.4.801.View ArticleGoogle Scholar
- Horsthemke B, Wagstaff J: Mechanisms of imprinting of the Prader-Willi/Angelman region. Am J Med Genet. 2008, 146: 2041-2052.View ArticleGoogle Scholar
- Cook EH, Lindgren V, Leventhal BL, Courchesne R, et al: Autism or atypical autism in maternally but not paternally derived proximal 15q duplication. Am J Hum Genet. 1997, 60: 928-934.PubMed CentralPubMedGoogle Scholar
- Brown MD, Starikovskaya E, Derbeneva O, Hosseini S, et al: The role of mtDNA background in disease expression: A new primary LHON mutation associated with Western Eurasian hap-logroup. J Hum Genet. 2002, 110: 130-138. 10.1007/s00439-001-0660-8.View ArticleGoogle Scholar
- Selkoe DJ: Presenilin, Notch, and the genesis and treatment of Alzheimer's disease. Proc Natl Acad Sci USA. 2001, 98: 11039-11041. 10.1073/pnas.211352598.PubMed CentralPubMedView ArticleGoogle Scholar
- Bothwell M, Giniger E: Alzheimer's disease: Neurodevelopment converges with neurodegeneration. Cell. 2000, 102: 271-273. 10.1016/S0092-8674(00)00032-5.PubMedView ArticleGoogle Scholar
- Nikolaev A, McLaughlin T, O'Leary DD, Tessier-Lavigne M: APP binds DR6 to trigger axon pruning and neuron death via distinct caspases. Nature. 2009, 457: 981-989. 10.1038/nature07767.PubMed CentralPubMedView ArticleGoogle Scholar