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. Author manuscript; available in PMC: 2015 Dec 1.
Published in final edited form as: Neurobiol Dis. 2014 Apr 16;72PA:54–60. doi: 10.1016/j.nbd.2014.04.001

Alzheimer’s and ABC transporters - new opportunities for diagnostics and treatment

Jens Pahnke a,b,, Oliver Langer c,d, Markus Krohn a
PMCID: PMC4199932  NIHMSID: NIHMS586809  PMID: 24746857

Abstract

Much has been said about the increasing number of demented patients and the main risk factor ‘age’. Frustratingly, we do not know the precise pattern and all modulating factors that provoke the pathologic changes in the brains of affected elderly. We have to diagnose early to be able to stop the progression of diseases that irreversibly destroy brain substance. Familiar AD cases have mislead some researchers for almost 20 years, which has unfortunately narrowed the scientific understanding and has, thus, lead to insufficient funding of independent approaches. Therefore, basic researchers hardly have been able to develop causative treatments and clinicians still do not have access to prognostic and early diagnostic tools.

During the recent years it became clear that insufficient Aβ export, physiologically facilitated by the ABC transporter superfamily at the brain’s barriers, plays a fundamental role in disease initiation and progression. Furthermore, export mechanisms that are deficient in affected elderly are new targets for activation and, thus, treatment, but ideally also for prevention. In sporadic AD disturbed clearance of β-amyloid from the brain is so far the most important factor for its accumulation in the parenchyma and vessel walls. Here, we review findings about the contribution of ABC transporters and of the perivascular drainage/glymphatic system on β-amyloid clearance. We highlight their potential value for innovative early diagnostics using PET and describe recently described, effective ABC transporter-targeting agents as potential causative treatment for neurodegenerative proteopathies/dementias.

Keywords: ABC transporter, Alzheimer’s disease, neurodegeneration, blood-brain barrier, BBB, choroid plexus, ABCB1, ABCC1, ABCA7, glymphatic system, amyloid-beta, PET

Introduction

Life expectancy rises in most countries as prevalence of aging-associated diseases does. This is not only true for AD and PD, but also for other neurodegenerative disorders (Savica et al., 2013; Vann Jones and O’Brien, 2014; Vardarajan et al., 2014). Common to all is the irreversible degeneration of distinct subsets of neurons and the accumulation of aggregated peptides/proteins within the cell body or in their near vicinity. In AD accumulation of Aβ is thought to be the initial pathogenic trigger leading to progressive neuronal dysfunction of the hippocampal formation, temporal and frontal cortex and later spreading to the occipital cortex (Braak and Braak, 1991; Hardy and Allsop, 1991). Reasons for this region specific, temporal pattern are barely known. In fact, also other proteopathies show distinct temporal patterns of neurodegeneration and peptide accumulation (Braak et al., 2003). In PD, α-synuclein accumulates preferentially in neurons of the substantia nigra. In DLB or MSA the same protein affects very different sets of neurons (Braak et al., 2003). Deposits of Tau-proteins or TDP-43 in FTLD appear in the eponymic regions of the brain but in PSP, tauopathy is restricted to distinct nuclei in the basal ganglia. Symptoms of the different diseases highly correlate with the region specific deposition of the respective proteins.

Familiar AD cases were the foundation of AD research for almost 20 years. Focusing research and funding on hypotheses derived thereof led to the understanding that Aβ accumulations arise from pure overproduction or misled processing by cleavage or processing enzymes (Haass and De Strooper, 1999). However, any treatment approach targeting these processes, e.g. γ-secretase for AD treatment, has proven insufficient and has not found its way into the clinics (Doody et al., 2013).

However, especially for AD but as well for PD, MSA, DLB, and PSP, it becomes increasingly clear that the pathologic aggregation of proteins and peptides is due to disturbed clearance mechanisms of the brain’s barriers. In this review, we summarize the current knowledge about the contribution of ABC transporters to the clearance of peptides/proteins over the blood-brain barrier, possible roles of the choroid plexus and the potential use of ABC transporters for treatment and diagnostics of various proteopathies of the brain.

ATP-binding cassette transporters are known since the introduction of p-glycoprotein (ABCB1) by Juliano and Ling (1976). By now, the ABC transporter superfamily comprises 49 human proteins divided into 7 subfamilies that have been designated ABCA to ABCG. They are expressed in every cell type of the brain and mediate the transport of a wide variety of substances. Detailing each family would be beyond the scope of this review, however, there have been comprehensive reviews about the function of ABC transporters as well as their expression within the central nervous system and the BBB (Hartz and Bauer, 2011; Kim et al., 2008; Linton, 2007; Löscher and Potschka, 2005; Pahnke et al., 2008; Schinkel and Jonker, 2003). We have recently started to systematically analyze ABC transporter expression throughout the human brain because this has not been done before. The expression pattern of these transporters differs drastically between different functional areas of the brain, which is not only true for endothelial cells of the BBB but as well for neurons and glia (unpublished data). Currently, the role of ABC transporters in neurodegenerative diseases is mainly attributed to their function or dysfunction at the BBB, which is also the focus of this review. But it seems to be possible that differential transporter expression also plays a role in the susceptibility of specific brain regions for distinct neurodegenerative diseases. The BBB is a sophisticated system, made up of endothelial cells, pericytes, and neuronal and astrocytic endfeet. This system highly regulates the import and export of nutrients, metabolites and immune cells as well as of xenobiotics. Development and function of the BBB has been nicely reviewed recently (Obermeier et al., 2013)

ABC-transporters and Aβ – 13 years of research

The first report that Aβ interacts with an ABC transporter was published by Lam et al. (2001). They used HEK263 cells, ABCB1-enriched membrane preparations and inside-out vesicles to clearly show that Aβ binds to ABCB1 and is actively transported. One year later, we found first implications for this association in human brains (Vogelgesang et al., 2002). In non-demented elderly amyloid plaques are increasingly recognized near blood vessels without ABCB1 expression but much less next to vessels expressing abundant ABCB1 proteins. In the same year, first evidences pointed to an involvement of ABCA1 in Aβ extrusion from neuronal cells (Fukumoto et al., 2002) which has been reviewed in detail by (Gosselet et al. (2013)(ALSO INCLUDE REVIEW BY I. LEFTEROV in THIS SPECIAL ISSUE). In 2004, we presented first evidence for the impact of ABCB1 on CAA (Vogelgesang et al., 2004). CAA first develops in arterioles and spreads to smaller vessels and capillaries only during later stages. When only arterioles were affected ABCB1 expression was high in unaffected capillaries, but as CAA spread to smaller vessels ABCB1 was lost here as well. The age-dependent decline of ABCB1 expression completed the pathologic link between ABCB1 and AD in humans. One year later, Cirrito et al. (2005) published the first mouse study showing impaired Aβ clearance in ABCB1 knockout mice, and also in control mice after treatment with ABCB1 inhibitors. Following these studies a lot more attention was drawn towards the role of ABCB1 in AD. In the following years different in vivo approaches confirmed ABCB1 as an important Aβ exporter. Hartz et al. (2010) confirmed the previous findings in mice showing that ABCB1 expression was diminished before plaques were visible and were also able to reduce brain amyloid burden by ABCB1 induction in vivo. This has been later again confirmed by Brenn et al. (2011) in a different mouse model and very recently also by Carrano et al. (2014) using material from patients. In 2011, Jeynes et al. analyzed brain tissue of controls and AD patients. ABCB1 positive capillaries were inversely correlated with the presence of neurofibrillary tangles and senile plaques; again confirming our publication from 2004 (Jeynes and Provias, 2011; Vogelgesang et al., 2004). In 2011, our experimental work revealed a strong effect of ABCB1-deficiency in APPPS1 mice and in a mouse model of CAA (Krohn et al., 2011). Interestingly, Qosa et al. (2012) found that rifampicin and caffeine treatment enhanced Aβ clearance via (a possibly combined) action of ABCB1 and/or LRP1. Caffeine intake has been found to reduce cognitive decline in aging men and one study found decreased risk for AD (Maia and de Mendonca, 2002; Ritchie et al., 2007; van Gelder et al., 2007). However, some in vitro experiments, designed to investigate ABCB1 functionality in Aβ transport, gave conflicting results. Using MDCK cells transfected with either LRP1 or ABCB1, Nazer et al. (2008) found no effect of ABCB1 on Aβ transport. Kuhnke et al. (2007) showed that ABCB1-transfected LLC-cells transported Aβ from the basolateral to the apical compartment. In an immortalized human brain endothelial cell line (hCMEC/D3) ABCB1 inhibition affected only apical to basolateral transport of Aβ (Tai et al., 2009). In bovine brain capillary endothelial cells similar effects were found (Candela et al., 2010; Saint-Pol et al., 2013). Qosa et al. (2014) did mechanistic modeling in murine and human endothelial cells. The inconsistency of in vitro and in vivo results points to interactions in vivo that we do not fully understand, yet. It is conceivable that cell monolayers in vitro do not recapitulate certain factors that are apparent in vivo but, of course, the differences between epithelial (MDCK) cells, carcinoma cells and endothelial cells must be also taken into account. However, it is unclear how Aβ, produced in the brain (i.e. at the basolateral side of endothelial cells), gets in contact with ABCB1 at the apical side of the blood-brain barrier. Here, LRP1, RAGE, and PrP may contribute to the export system (Pflanzner et al., 2011; Pflanzner et al., 2012).

ABCA1 and ABCB1 are not the only ABC transporters found to be associated with Aβ transport. In 2009, Xiong et al. presented data showing that ABCG2 is up-regulated in AD patients with CAA. Furthermore, peripherally injected Aβ40 accumulated stronger in ABCG2-deficient mice brains than in wild-type animals, suggesting that ABCG2 acts as a gatekeeper that prevents Aβ40 from entering the brain. Shen et al. (2010) used cell culture experiments to show that ABCG2 prevents cells from reactive oxygen stress via modulation of the NF-κβ pathway. Other studies found a contribution of ABCG2 to Aβ transport in vitro using different cell lines (Candela et al., 2010; Do et al., 2012; Tai et al., 2009). Do et al. (2012) also proposed ABCG4 to be an Aβ40 transporter. In contrast, Carrano et al. (2014) found a decrease of protein abundance in brain samples of patients with severe capillary CAA and Kania et al. (2011) could not detect any regulation of ABCG2 in hCMEC/D3 cells after Aβ40 treatment. The only study that used APP-expressing mouse models crossed with ABCG2 knockout mice found no difference in amyloid burden when compared to the corresponding ABCG2 wild-type mice (Krohn et al., 2011). Despite these conflicting results in vitro and in vivo ABCG2 reached “potential candidate” status in a genome wide association study (Kim et al., 2011). Feher et al. (2013) analyzed a Hungarian cohort of nearly 600 patients and found a significant interaction of the ABCG2 missense mutation C421A and the APOE-ε4 allele on AD risk. Thus, additional studies are needed to elucidate the role of ABCG2 in the pathogenesis of AD.

In 2011, two further ABC transporters appeared on the stage of AD. ABCA7 was recognized in a GWAS and it has gained much attention during the past two years, because it is the first ABC transporter detected by the large genomics initiatives and rs3752246 is the only coding non-synonymous SNP found in any AD-related GWAS so far (Hollingworth et al., 2011). After its first publication other GWAS and several focused genetic studies confirmed the hit in other cohorts and subpopulations (Cascorbi et al., 2013; Chung et al., 2013; Kamboh et al., 2012; Liu et al., 2013; Reitz et al., 2013). Besides the non-synonymous SNP another one (rs3764650) has been found to influence expression of the ABCA7 gene (Vasquez et al., 2013). The minor allele which is associated with higher AD risk, shows lower expression levels. However, in AD patients ABCA7 expression was found to be higher than in non-demented people. Thus, ABCA7 seems to be upregulated in a compensatory manner, a mechanism that might be attenuated by the minor allele (Vasquez et al., 2013). Karch et al. (2012) found the minor allele as well to be associated with the age of onset and disease duration, but in contrast no influence on ABCA7 expression levels. Holton et al. (2013) found ABCA7 to be expressed only weakly throughout different analyzed brain regions with no differential expression patterns, regardless of the occurring SNP. Although ABCA7 is highly homologous to ABCA1, its functions are still under discussion. Therefore, it is hard to predict functional aspects of the non-synonymous amino acid change. Phospholipid and cholesterol export to lipoproteins was indicated to depend on ABCA7 function in vitro (Abe-Dohmae et al., 2004; Kaminski et al., 2000). In contrast, in vivo data point to another major function of ABCA7. Macrophages from ABCA7-deficient mice do not differ in cholesterol and phospholipid efflux from wild-type animals, although females had significantly less cholesterol in the serum and in high-density-lipoprotein vesicles (Kim et al., 2005). Interestingly, specific plasma phospholipid levels are currently being discussed as early marker for AD (Mapstone et al., 2014).

Phagocytic activity of peritoneal macrophages from ABCA7 knockout mice is decreased as compared to wild-type mice, and induction of phagocytosis by ApoA lipoproteins is dependent on ABCA7 in vivo and in J774 macrophages (Tanaka et al., 2010). A year later, the same lab demonstrated that statins induce phagocytosis in an ABCA7-dependent manner (Tanaka et al., 2011). Additionally, ABCA7 was found to be involved in response to typhoid fever in children (Khoo et al., 2011). These data indicate a role of ABCA7 in the host response system in conjunction with cholesterol homeostasis. Since ABCA7 was found to play a role in T-cell proliferation (Meurs et al., 2012) its effects for AD could also be attributed to its functions in the immune system. Here, a closer look on microglial function should add some pieces to the puzzle. Kim et al. (2013) evaluated the effect of ABCA7 on Aβ pathology using ABCA7 knockout mice that were crossed to the J20 AD model. They found a robust increase of insoluble Aβ and plaque load in the brains of ABCA7-deficient mice, but were unable to fully elucidate the mechanism behind this observation. Using bone marrow derived macrophages they showed a decreased ability of ABCA7 knockout cells to phagocytose oligomeric Aβ, pointing towards a possible mechanism of action. However, microglial phagocytosis was not determined and tested animals were only males. It will be interesting to assess effects also in females in future studies because of the reported gender differences in ABCA7 knockout mice (Kim et al., 2005). Since ABCA7 has been shown to be expressed in bovine BBB cells it cannot be excluded that it is involved in Aβ transport processes at the BBB (Gosselet et al., 2009).

The latest, so far most effective, ABC transporter that was found to influence Aβ brain burden is ABCC1. An up to 14-fold increase of Aβ42 in ABCC1 knock-out mice is the so far greatest impact of an ABC transporter in AD mouse models. Moreover, we were able to reduce amyloid burden by up to 80% in APPPS1 mice via functional activation of ABCC1 (Krohn et al., 2011). Very recently, we exploited this mechanism for treatment by using special extracts of St. John’s wort to alleviate the consequences of Aβ accumulation in APPPS1 mice (Hofrichter et al., 2013). ABCC1 is expressed in capillary endothelia of the blood-brain barrier, in neural stem and progenitor cells (Schumacher et al., 2012) and distinct subsets of neurons with diverse pattern in different diseases (yet unpublished data). Its function is regulated by mitochondria and influenced by mitochondrial polymorphisms (Scheffler et al., 2012). But it is also different to the other transporters reviewed here, because one important site of high expression in the brain is the choroid plexus.

Alzheimer’s disease and the glymphatic system

The choroid plexus is a structure that has been nearly ignored with regard to AD but regained interest of researchers during the past few years. Its function and implications for brain disorders have recently been reviewed (Damkier et al., 2013; Lehtinen et al., 2013; Papadopoulos and Verkman, 2013). However already in the 1990s, Roy Weller and colleagues defined perivascular drainage pathways in the brain, and speculated about its influence on Aβ clearance from the brain (Pollock et al., 1997; Weller et al., 1992; Zhang et al., 1990). Since the choroid plexus, as a producer of cerebrospinal fluid, is one of the driving forces behind the drainage pathways of the brain, its function, dysfunction and signaling to and from the brain needs to be subject of future research. The second driving force of this fluid drainage is the pulsation of brain arteries (Iliff et al., 2013b; Schley et al., 2006). Both effects together generate a flow of cerebrospinal fluid and interstitial fluid throughout the brain that is a crucial part of Aβ clearance (Iliff et al., 2012). CSF enters the brain via arterial pathways along perivascular spaces to be eventually cleared from the brain along the large veins. This system is now being called the glymphatic system (Iliff et al., 2012). The probably largest part of this glymphatic system is made up by the capillaries of the brain. As the perivascular flow drains along the capillary beds, peptides and proteins are actively exchanged by their specific transport processes. Recent research shows that CSF is not only produced by the CP but also at the blood-brain barrier (for a review see (Chikly and Quaghebeur, 2013)). As reorganization of the capillary basement membranes with age preferentially occurs in brain regions prone to CAA (Hawkes et al., 2013) we hypothesize, that not only a hindrance of peptide clearance occurs at these sites. Thickening of the basement membrane of capillaries might be analogues to the same process in the choroid plexus which goes along with a reduced secretory function (reviewed in (Serot et al., 2003)). Consequently, the brain wide exchange of interstitial fluid and CSF slows down, peptide concentrations have more time to rise and aggregation prone peptides start to build large clusters that, at a certain point, are sticky and no longer transportable. Supporting findings for this hypothesiss were published by Meyer et al. in 2008 who found Aβ ‘crystals’ associated with capillaries already in pre-depositing, 3-month-old APP23 mice (Meyer et al., 2008). These seeds disturb the perivascular flow by destroying capillaries (leading to CAA in higher vessels) and give rise to Aβ plaques. Stiffening of arterial vasculature due to metabolic syndrome, hypertension, hyperlipidemia, diabetes or aging must be taken into account as well since it decelerates the glymphatic flow (Iliff et al., 2013b).

It has been discussed earlier that if age-dependent impaired active (transport) and passive (glymphatic) Aβ clearance are not counteracted beforehand, immunization of AD patients will not be successful (Pahnke et al., 2009; Weller et al., 2009). Without a route out of the brain, re-solubilized Aβ from senile plaques only worsens the situation as seen by an increase in CAA and microhemorrhages in immunized patients (Boche et al., 2008; Holmes et al., 2008). Approaches to restore or improve active and passive Aβ clearance will have double benefit (Pahnke et al., 2009). On one hand, accumulation of Aβ peptides and thus progression of AD could be attenuated or even stopped and on the other hand immunization could clear existing deposits to support overall regeneration.

ABC transporter function in other proteopathies of the brain

ABC transporters are also implicated to play a role in other neurodegenerative disorders. ABCB1 function is discussed to influence the risk for PD. SNP analyses show an association of PD risk with different SNPs in ABCB1 (Tan et al., 2005; Westerlund et al., 2009) or an increased susceptibility after exposure to pesticides in people carrying the ABCB1 3435C/T SNP (Zschiedrich et al., 2009). However, there are cohorts in which no association between different haplotypes and PD risk was found (Funke et al., 2009; Kiyohara et al., 2013). Since these cohorts were always far smaller than those currently used for genome-wide AD studies, a concerted analyses approach might give clearer results. Nonetheless, Bartels et al. (2008) found some evidence for a possible reduction of ABCB1 function at the BBB of patients diagnosed with advanced PD, using positron emission tomography with the radiolabelled ABCB1 substrate [11C]verapamil. Most interestingly, in the same work they reported reduced ABCB1 function in patients with PSP and MSA as well. This highlights the ubiquitous and important role of ABC transporters in blood-brain barrier clearance for different neurodegenerative diseases.

Recently, ABC transporters came into view of another neurodegenerative entity. Although not strictly age-related, neuronal ceroid lipofuscinoses comprise a group of progressive neurodegenerative disorders in childhood and adults characterized by cognitive and motor decline, seizures, blindness, early death, and accumulation of lipofuscin in various cell types. NCLs belong to the lysosomal storage diseases and are characterized by lysosomal dysfunction leading to intralysosomal storage of autofluorescent material. Several ABC transporters are expressed in lysosomes. Among them are ABCA2 (Zhou et al., 2001), ABCB1, ABCC1 and ABCG2 (Rajagopal and Simon, 2003), and deficiency in ABCA5 lead to NCL-like pathology in mice (Kubo et al., 2005). Recently, ABCB1 was described to be abrogated in type 3 NCL endothelia (Tecedor et al., 2013). Interestingly, type 11 (NCL11, juvenile) represents a direct link to FTLDs both having mutations in the same progranulin gene but different disease onset. However, the underlying modifier for early (NCL) or late (FTLD) clinical representation is currently in debate (Gotzl et al., 2014). Since no causal therapy is yet available for NCLs, ABC-transporters might serve as promising modifier treatment targets in future.

ABC transporters – an outlook

The search for causative treatments of AD held a lot of draw-backs during the past two decades. Considering the knowledge that we gained in the past 13 years, it is time to shift therapeutic approaches towards reconstitution and/or enhancement of clearance mechanism. Although ABC transporter research was mainly driven by the role of ABC transporters in multidrug resistance of tumors and attempts to inhibit these transporters to render chemotherapy more effective (Szakacs et al., 2006), the ways for induction of ABC transporter function are numerous. It was shown that ABCB1 expression is induced by endothelial cell-specific TGF-β1 receptor (ALK1) (Baello et al., 2014). An ALK1 specific agonist, BMP-9, was able to increase ABCB1 activity by up to 60% for at least 24h in cell culture experiments (Baello et al., 2014). Since the structure of the active BMP-9 dimer has been resolved (Brown et al., 2005), a specifically designed peptide or small molecule drug could be developed for in vivo ABCB1 induction. Furthermore, NMDA receptor agonists can induce ABCB1 expression at the BBB via a COX-2 dependent mechanism (Bauer et al., 2008). Recently, Paganetti et al. (2014) reported that induction of muscarinic acetylcholine receptors at the BBB has beneficial effects in three different mouse models of AD. Treatment with pirenzepine, a selective M1 receptor antagonist, lead especially to a marked reduction of vessel associated Aβ deposits. qPCR analyses of brain capillaries proved the induction of LRP1, ABCB1, GLUT1 and claudin 5 along with a decreased expression of RAGE. Of note, pirenzepine does not cross the blood-brain barrier thus avoiding central side effects. Well-known inducers of ABC transporters are, of course, chemotherapeutics like bexarotene and Paclitaxel, and antiviral drugs like efavirenz, but these will elicit substantial side effects in AD therapy. However, the most recent bexarotene study did not analyze these effectors (Cramer et al., 2012).

Many plant-derived substances bear the potential to induce ABC transporter function. The most prominent example is St. John’s wort, Hypericum perforatum, with its main active substance hyperforin. Hyperforin is known to induce ABCB1 expression in humans through binding to the pregnane X receptor (PXR) (Hartz et al., 2010; Lemmen et al., 2013). Most interestingly, hyperforin is not the only ABC transporter activating substance in St. John’s wort. Using a specific extraction method, we were able to directly induce ABCC1 activity in a hyperforin-independent manner (Hofrichter et al., 2013). In line with this, a clinical Phase IIa trial for AD/MCI treatment using thiethylperazine as another ABCC1 inducer will be launched in near future (Krohn et al., 2011).

Sporadic AD tends to be maternally inherited (Mosconi et al., 2010). Besides the X chromosome, the most prominent and exclusively maternal genetic material belongs to the mitochondria. Already single mitochondrial SNPs are able to influence Aβ deposition drastically in mouse models (Scheffler et al., 2012) and energy efficiency of mitochondria declines as ROS productions increases with age and especially during AD (Gruber et al., 2013). In Chinese traditional medicine so called Yang and Yin tonifying herbs are known to possess the potential to prolong a healthy life span. Mechanisms of action of such herbs have been studied and revealed that Yang herbs increase ATP generation and Yin herbs exert immunmodulatory functions, besides the antioxidant capacities of both groups (Ko and Leung, 2007). Since ABC transporter function crucially depends on ATP supply, investigations of these herbs as mitochondria protecting/supporting drugs would be of benefit for the clearance and energy homeostasis of aging and diseased brains.

To measure the functionality of the above mechanisms new methods need to be developed. This is important for two reasons; (i) as a possibility for (early) diagnostics and (ii) to evaluate treatment effects. The main issue current clinical trials face is the lack of diagnostics to forecast if a person of interest will develop AD in the next 5 or even 10 years. The GWAS hits do not allow such a prediction of AD, not even together with ApoE status (Hennings-Yeomans and Cooper, 2012; Verhaaren et al., 2013). Since our current knowledge of a person’s genetic background implicates that factors other than genes play a critical role in the pathogenesis of AD, we need to develop functional assays. Assessment of the functional state of a process known to be crucial for the pathogenesis of AD would intrinsically detect genetic and environmental factors. As we now know that Aβ clearance is such a crucial process, we need to establish it as a measureable value. One way could be enhanced contrast or conventional MRI approaches like the proof-of-concept studies by Iliff et al. (2013a) in rats, and by Tsutsumi et al. (2011) in humans. Another approach would be the measurement of ABC transporter function with non-invasive nuclear imaging methods, such as PET. PET with radiolabelled substrates of ABCB1, such as (R)-[11C]verapamil or [11C]N-desmethyl-loperamide, has proven to be useful to measure the functional activity of ABCB1 at the blood-brain barrier in the healthy and diseased brain (Kannan et al., 2009; Mairinger et al., 2011). Using PET, cortical brain uptake of (R)-[11C]verapamil (reported as BPND) was found to be 23% higher in AD patients as compared with age-matched healthy controls (van Assema et al., 2012a). This finding was interpreted as a decrease in ABCB1 function at the blood-brain barrier of AD patients, although it remains unclear why no differences in the influx rate constant K1 of (R)-[11C]verapamil from plasma into brain, a parameter which was shown in previous studies to reflect ABCB1 function at the blood-brain barrier (Bauer et al., 2012; Muzi et al., 2009), was found. In another study, van Assema and colleagues (2012b) explored the effect of the C1236T, G2677T and C3435T SNPs in the ABCB1 gene on (R)[11C]verapamil brain distribution in AD patients. Although not showing up in a GWAS, carriers of at least one T allele had at least 24% higher global brain (R)-[11C]verapamil BPND values compared to non-carriers. Interestingly, this effect was found in persons diagnosed with AD only. In healthy persons (MMSE>26) no differences in (R)-[11C]verapamil BPND values between carriers of a T allele and non-carriers were found (van Assema et al., 2012b). Thus, SNPs in ABCB1 might sensitize protein function or regulation of expression to AD-related changes at the blood-brain barrier. These preliminary findings need to be confirmed in larger patient cohorts. In contrast to ABCB1, the functional PET-based measurement of other ABC transporters implicated in AD is still in its infancy. Okamura and colleagues (2009) have developed 6-bromo-7-[11C]methylpurine as the first PET tracer for visualization of ABCC1 activity at the murine blood-brain barrier based on the metabolite extrusion method. This PET probe enters the brain by passive diffusion. Inside the brain, it is converted by glutathione transferases into the corresponding glutathione conjugate, which is actively extruded from brain by ABCC1, thereby enabling the measurement of ABCC1 function from the efflux rate of activity from brain. However, it is not certain if this innovative approach to measure ABCC1 function can be translated to human subjects, as no clinical application of this PET tracer has been reported yet. Very recently, a fluorine-18-labelled version of this ABCC1 probe has been reported by another research group (Galante et al., 2014). Of course, the most accurate approach for estimating the risk for developing AD would be the direct measurement of Aβ clearance from the AD brain. However, measuring Aβ clearance from brain with PET and radiolabelled Aβ is complicated by the fact that such radiotracers will not be able to cross the blood-brain barrier when administered systemically. The brilliant approach introduced by Bateman et al. (2006) using radio-labelled Aβ would be another method to determine Aβ homeostasis in the brain of patients, but is currently not suitable for daily clinical settings. Patients would need to be hospitalized for about 48 hours, two intravenous and a subarachnoid catheter need to be in place for 36 hours. Furthermore, Aβ-immunoprecipitation and LC-MS need to be performed.

Non-invasive molecular imaging methods such as PET possess a great potential to directly study the functional activity of ABC transporters in the brains of patients with neurodegenerative disorders. PET imaging may help to clarify the role of ABC transporters in the pathophysiology of these diseases and may also qualify as a tool for early diagnosis in a region-specific pattern. Moreover, PET imaging of ABC transporter function may be indispensable in the development of new therapeutic approaches, which induce ABC transporter activity at the blood-brain barrier to promote Aβ clearance from brain. However, the use of PET to measure ABC transporter function relies on the availability of suitable and selective PET radiotracers. It is hoped that future efforts in radiotracer development will provide new and improved ABC transporter-specific radiotracers to fully exploit the potential of this powerful imaging method.

In conclusion, ABC transporters have been proven to be involved in the process of the excretion of toxic peptide species and location-specific impairment of these export mechanisms may lead to proteopathies of the brain including AD, PD, HD, and other. Exploiting molecular and imaging techniques with regard to ABC transporters will result in the discovery of new diagnostic options and activation of these transporters in new preventive and/or therapeutic treatment options.

Abbreviations

AD

Alzheimer’s disease

amyloid-beta

ABC

ATP binding cassette

BBB

blood-brain barrier

BPND

non-displaceable binding potential

CNS

central nervous system

CAA

cerebral amyloid angiopathy

CSF

cerebrospinal fluid

CP

choroid plexus

DLB

dementia with Lewy bodies

FTLD

frontotemporal lobar degeneration

GWAS

genome wide association study

HEK263

human embryonic kidney cell line 263

LC-MS

liquid chromatography-coupled mass spectrometry

LLC

Lewis lung carcinoma cells

LRP1

Lipoprotein related receptor protein 1

MDCK

Madin-Darby canine kidney cells

MSA

multiple systems atrophy

NCLs

neuronal ceroid neurolipofuscinoses

PD

Parkinson’s disease

PET

positron emission tomography

PSP

progressive supranuclear palsy

SNP

single nucleotide polymorphism

Footnotes

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References

  1. Abe-Dohmae S, et al. Human ABCA7 supports apolipoprotein-mediated release of cellular cholesterol and phospholipid to generate high density lipoprotein. J Biol Chem. 2004;279:604–11. doi: 10.1074/jbc.M309888200. [DOI] [PubMed] [Google Scholar]
  2. Baello S, et al. TGF-beta1 regulation of multidrug resistance P-glycoprotein in the developing male blood-brain barrier. Endocrinology. 2014;155:475–84. doi: 10.1210/en.2013-1472. [DOI] [PubMed] [Google Scholar]
  3. Bartels AL, et al. Decreased blood-brain barrier P-glycoprotein function in the progression of Parkinson’s disease, PSP and MSA. J Neural Transm. 2008;115:1001–9. doi: 10.1007/s00702-008-0030-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bateman RJ, et al. Human amyloid-beta synthesis and clearance rates as measured in cerebrospinal fluid in vivo. Nat Med. 2006;12:856–61. doi: 10.1038/nm1438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bauer B, et al. Seizure-induced up-regulation of P-glycoprotein at the blood-brain barrier through glutamate and cyclooxygenase-2 signaling. Mol Pharmacol. 2008;73:1444–53. doi: 10.1124/mol.107.041210. [DOI] [PubMed] [Google Scholar]
  6. Bauer M, et al. Pgp-mediated interaction between (R)-[11C]verapamil and tariquidar at the human blood-brain barrier: a comparison with rat data. Clinical Pharmacology and Therapeutics. 2012;91:227–233. doi: 10.1038/clpt.2011.217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Boche D, et al. Consequence of Abeta immunization on the vasculature of human Alzheimer’s disease brain. Brain. 2008;131:3299–310. doi: 10.1093/brain/awn261. [DOI] [PubMed] [Google Scholar]
  8. Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol (Berl) 1991;82:239–59. doi: 10.1007/BF00308809. [DOI] [PubMed] [Google Scholar]
  9. Braak H, et al. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging. 2003;24:197–211. doi: 10.1016/s0197-4580(02)00065-9. [DOI] [PubMed] [Google Scholar]
  10. Brenn A, et al. Beta-Amyloid Downregulates MDR1-P-Glycoprotein (Abcb1) Expression at the Blood-Brain Barrier in Mice. Int J Alzheimers Dis. 2011:690121. doi: 10.4061/2011/690121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Brown MA, et al. Crystal structure of BMP-9 and functional interactions with pro-region and receptors. J Biol Chem. 2005;280:25111–8. doi: 10.1074/jbc.M503328200. [DOI] [PubMed] [Google Scholar]
  12. Candela P, et al. Apical-to-basolateral transport of amyloid-beta peptides through blood-brain barrier cells is mediated by the receptor for advanced glycation end-products and is restricted by P-glycoprotein. J Alzheimers Dis. 2010;22:849–59. doi: 10.3233/JAD-2010-100462. [DOI] [PubMed] [Google Scholar]
  13. Carrano A, et al. ATP-binding cassette transporters P-glycoprotein and breast cancer related protein are reduced in capillary cerebral amyloid angiopathy. Neurobiol Aging. 2014;35:565–75. doi: 10.1016/j.neurobiolaging.2013.09.015. [DOI] [PubMed] [Google Scholar]
  14. Cascorbi I, et al. Association of ATP-binding cassette transporter variants with the risk of Alzheimer’s disease. Pharmacogenomics. 2013;14:485–94. doi: 10.2217/pgs.13.18. [DOI] [PubMed] [Google Scholar]
  15. Chikly B, Quaghebeur J. Reassessing cerebrospinal fluid (CSF) hydrodynamics: a literature review presenting a novel hypothesis for CSF physiology. J Bodyw Mov Ther. 2013;17:344–54. doi: 10.1016/j.jbmt.2013.02.002. [DOI] [PubMed] [Google Scholar]
  16. Chung SJ, et al. Association of GWAS top hits with late-onset Alzheimer disease in Korean population. Alzheimer Dis Assoc Disord. 2013;27:250–7. doi: 10.1097/WAD.0b013e31826d7281. [DOI] [PubMed] [Google Scholar]
  17. Cirrito JR, et al. P-glycoprotein deficiency at the blood-brain barrier increases amyloid-beta deposition in an Alzheimer disease mouse model. J Clin Invest. 2005;115:3285–90. doi: 10.1172/JCI25247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cramer PE, et al. ApoE-Directed Therapeutics Rapidly Clear beta-Amyloid and Reverse Deficits in AD Mouse Models. Science. 2012 doi: 10.1126/science.1217697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Damkier HH, et al. Cerebrospinal fluid secretion by the choroid plexus. Physiol Rev. 2013;93:1847–92. doi: 10.1152/physrev.00004.2013. [DOI] [PubMed] [Google Scholar]
  20. Do TM, et al. ABCG2- and ABCG4-mediated efflux of amyloid-beta peptide 1–40 at the mouse blood-brain barrier. J Alzheimers Dis. 2012;30:155–66. doi: 10.3233/JAD-2012-112189. [DOI] [PubMed] [Google Scholar]
  21. Doody RS, et al. A phase 3 trial of semagacestat for treatment of Alzheimer’s disease. N Engl J Med. 2013;369:341–50. doi: 10.1056/NEJMoa1210951. [DOI] [PubMed] [Google Scholar]
  22. Feher A, et al. Association between the ABCG2 C421A polymorphism and Alzheimer’s disease. Neurosci Lett. 2013;550:51–4. doi: 10.1016/j.neulet.2013.06.044. [DOI] [PubMed] [Google Scholar]
  23. Fukumoto H, et al. Induction of the cholesterol transporter ABCA1 in central nervous system cells by liver X receptor agonists increases secreted Abeta levels. J Biol Chem. 2002;277:48508–13. doi: 10.1074/jbc.M209085200. [DOI] [PubMed] [Google Scholar]
  24. Funke C, et al. Genetic analysis of coding SNPs in blood-brain barrier transporter MDR1 in European Parkinson’s disease patients. J Neural Transm. 2009;116:443–50. doi: 10.1007/s00702-009-0196-y. [DOI] [PubMed] [Google Scholar]
  25. Galante E, et al. Development of Purine-Derived (18)F-Labeled Pro-drug Tracers for Imaging of MRP1 Activity with PET. J Med Chem. 2014;57:1023–32. doi: 10.1021/jm401764a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Gosselet F, et al. Transcriptional profiles of receptors and transporters involved in brain cholesterol homeostasis at the blood-brain barrier: use of an in vitro model. Brain Res. 2009;1249:34–42. doi: 10.1016/j.brainres.2008.10.036. [DOI] [PubMed] [Google Scholar]
  27. Gosselet F, et al. Effects of oxysterols on the blood-brain barrier: Implications for Alzheimer’s disease. Biochem Biophys Res Commun. 2013 doi: 10.1016/j.bbrc.2013.11.059. [DOI] [PubMed] [Google Scholar]
  28. Gotzl JK, et al. Common pathobiochemical hallmarks of progranulin-associated frontotemporal lobar degeneration and neuronal ceroid lipofuscinosis. Acta Neuropathol. 2014 doi: 10.1007/s00401-014-1262-6. [DOI] [PubMed] [Google Scholar]
  29. Gruber J, et al. Mitochondria-targeted antioxidants and metabolic modulators as pharmacological interventions to slow ageing. Biotechnol Adv. 2013;31:563–92. doi: 10.1016/j.biotechadv.2012.09.005. [DOI] [PubMed] [Google Scholar]
  30. Haass C, De Strooper B. The presenilins in Alzheimer’s disease--proteolysis holds the key. Science. 1999;286:916–9. doi: 10.1126/science.286.5441.916. [DOI] [PubMed] [Google Scholar]
  31. Hardy J, Allsop D. Amyloid deposition as the central event in the aetiology of Alzheimer’s disease. Trends Pharmacol Sci. 1991;12:383–8. doi: 10.1016/0165-6147(91)90609-v. [DOI] [PubMed] [Google Scholar]
  32. Hartz AM, Bauer B. ABC transporters in the CNS - an inventory. Curr Pharm Biotechnol. 2011;12:656–73. doi: 10.2174/138920111795164020. [DOI] [PubMed] [Google Scholar]
  33. Hartz AM, et al. Restoring blood-brain barrier P-glycoprotein reduces brain amyloid-beta in a mouse model of Alzheimer’s disease. Mol Pharmacol. 2010;77:715–23. doi: 10.1124/mol.109.061754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Hawkes CA, et al. Regional differences in the morphological and functional effects of aging on cerebral basement membranes and perivascular drainage of amyloid-beta from the mouse brain. Aging Cell. 2013;12:224–36. doi: 10.1111/acel.12045. [DOI] [PubMed] [Google Scholar]
  35. Hennings-Yeomans PH, Cooper GF. Improving the prediction of clinical outcomes from genomic data using multiresolution analysis. IEEE/ACM Trans Comput Biol Bioinform. 2012;9:1442–50. doi: 10.1109/TCBB.2012.80. [DOI] [PubMed] [Google Scholar]
  36. Hofrichter J, et al. Reduced Alzheimer’s disease pathology by St. John’s Wort treatment is independent of hyperforin and facilitated by ABCC1 and microglia activation in mice. Curr Alzheimer Res. 2013;10:1057–69. doi: 10.2174/15672050113106660171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Hollingworth P, et al. Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer’s disease. Nat Genet. 2011;43:429–35. doi: 10.1038/ng.803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Holmes C, et al. Long-term effects of Abeta42 immunisation in Alzheimer’s disease: follow-up of a randomised, placebo-controlled phase I trial. Lancet. 2008;372:216–23. doi: 10.1016/S0140-6736(08)61075-2. [DOI] [PubMed] [Google Scholar]
  39. Holton P, et al. Initial assessment of the pathogenic mechanisms of the recently identified Alzheimer risk Loci. Ann Hum Genet. 2013;77:85–105. doi: 10.1111/ahg.12000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Iliff JJ, et al. Brain-wide pathway for waste clearance captured by contrast-enhanced MRI. J Clin Invest. 2013a;123:1299–309. doi: 10.1172/JCI67677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Iliff JJ, et al. A Paravascular Pathway Facilitates CSF Flow Through the Brain Parenchyma and the Clearance of Interstitial Solutes, Including Amyloid beta. Sci Transl Med. 2012;4:147ra111. doi: 10.1126/scitranslmed.3003748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Iliff JJ, et al. Cerebral arterial pulsation drives paravascular CSF-interstitial fluid exchange in the murine brain. J Neurosci. 2013b;33:18190–9. doi: 10.1523/JNEUROSCI.1592-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Jeynes B, Provias J. An investigation into the role of P-glycoprotein in Alzheimer’s disease lesion pathogenesis. Neurosci Lett. 2011;487:389–93. doi: 10.1016/j.neulet.2010.10.063. [DOI] [PubMed] [Google Scholar]
  44. Juliano RL, Ling V. A surface glycoprotein modulating drug permeability in Chinese hamster ovary cell mutants. Biochim Biophys Acta. 1976;455:152–62. doi: 10.1016/0005-2736(76)90160-7. [DOI] [PubMed] [Google Scholar]
  45. Kamboh MI, et al. Genome-wide association study of Alzheimer’s disease. Transl Psychiatry. 2012;2:e117. doi: 10.1038/tp.2012.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kaminski WE, et al. Identification of a novel human sterol-sensitive ATP-binding cassette transporter (ABCA7) Biochem Biophys Res Commun. 2000;273:532–8. doi: 10.1006/bbrc.2000.2954. [DOI] [PubMed] [Google Scholar]
  47. Kania KD, et al. Beta amyloid effects on expression of multidrug efflux transporters in brain endothelial cells. Brain Res. 2011;1418:1–11. doi: 10.1016/j.brainres.2011.08.044. [DOI] [PubMed] [Google Scholar]
  48. Kannan P, et al. Imaging the function of P-glycoprotein with radiotracers: pharmacokinetics and in vivo applications. Clinical Pharmacology and Therapeutics. 2009;86:368–77. doi: 10.1038/clpt.2009.138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Karch CM, et al. Expression of novel Alzheimer’s disease risk genes in control and Alzheimer’s disease brains. PLoS One. 2012;7:e50976. doi: 10.1371/journal.pone.0050976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Khoo SK, et al. Host response transcriptional profiling reveals extracellular components and ABC (ATP-binding cassette) transporters gene enrichment in typhoid fever-infected Nigerian children. BMC Infect Dis. 2011;11:241. doi: 10.1186/1471-2334-11-241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Kim S, et al. Genome-wide association study of CSF biomarkers Abeta1-42, t-tau, and p-tau181p in the ADNI cohort. Neurology. 2011;76:69–79. doi: 10.1212/WNL.0b013e318204a397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Kim WS, et al. Abca7 null mice retain normal macrophage phosphatidylcholine and cholesterol efflux activity despite alterations in adipose mass and serum cholesterol levels. J Biol Chem. 2005;280:3989–95. doi: 10.1074/jbc.M412602200. [DOI] [PubMed] [Google Scholar]
  53. Kim WS, et al. Deletion of Abca7 increases cerebral amyloid-beta accumulation in the J20 mouse model of Alzheimer’s disease. J Neurosci. 2013;33:4387–94. doi: 10.1523/JNEUROSCI.4165-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Kim WS, et al. Role of ATP-binding cassette transporters in brain lipid transport and neurological disease. J Neurochem. 2008;104:1145–66. doi: 10.1111/j.1471-4159.2007.05099.x. [DOI] [PubMed] [Google Scholar]
  55. Kiyohara C, et al. MDR1 C3435T polymorphism and interaction with environmental factors in risk of Parkinson’s disease: a case-control study in Japan. Drug Metab Pharmacokinet. 2013;28:138–43. doi: 10.2133/dmpk.dmpk-12-rg-075. [DOI] [PubMed] [Google Scholar]
  56. Ko KM, Leung HY. Enhancement of ATP generation capacity, antioxidant activity and immunomodulatory activities by Chinese Yang and Yin tonifying herbs. Chin Med. 2007;2:3. doi: 10.1186/1749-8546-2-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Krohn M, et al. Cerebral amyloid-beta proteostasis is regulated by the membrane transport protein ABCC1 in mice. J Clin Invest. 2011;121:3924–31. doi: 10.1172/JCI57867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Kubo Y, et al. ABCA5 resides in lysosomes, and ABCA5 knockout mice develop lysosomal disease-like symptoms. Mol Cell Biol. 2005;25:4138–49. doi: 10.1128/MCB.25.10.4138-4149.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Kuhnke D, et al. MDR1-P-Glycoprotein (ABCB1) Mediates Transport of Alzheimer’s amyloid-beta peptides--implications for the mechanisms of Abeta clearance at the blood-brain barrier. Brain Pathol. 2007;17:347–53. doi: 10.1111/j.1750-3639.2007.00075.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Lam FC, et al. beta-Amyloid efflux mediated by p-glycoprotein. J Neurochem. 2001;76:1121–8. doi: 10.1046/j.1471-4159.2001.00113.x. [DOI] [PubMed] [Google Scholar]
  61. Lehtinen MK, et al. The choroid plexus and cerebrospinal fluid: emerging roles in development, disease, and therapy. J Neurosci. 2013;33:17553–9. doi: 10.1523/JNEUROSCI.3258-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Lemmen J, et al. Pregnane X receptor upregulates ABC-transporter Abcg2 and Abcb1 at the blood-brain barrier. Brain Res. 2013;1491:1–13. doi: 10.1016/j.brainres.2012.10.060. [DOI] [PubMed] [Google Scholar]
  63. Linton KJ. Structure and function of ABC transporters. Physiology (Bethesda) 2007;22:122–30. doi: 10.1152/physiol.00046.2006. [DOI] [PubMed] [Google Scholar]
  64. Liu LH, et al. A Complex Association of ABCA7 Genotypes With Sporadic Alzheimer Disease in Chinese Han Population. Alzheimer Dis Assoc Disord. 2013 doi: 10.1097/WAD.0000000000000000. [DOI] [PubMed] [Google Scholar]
  65. Löscher W, Potschka H. Drug resistance in brain diseases and the role of drug efflux transporters. Nat Rev Neurosci. 2005;6:591–602. doi: 10.1038/nrn1728. [DOI] [PubMed] [Google Scholar]
  66. Maia L, de Mendonca A. Does caffeine intake protect from Alzheimer’s disease? Eur J Neurol. 2002;9:377–82. doi: 10.1046/j.1468-1331.2002.00421.x. [DOI] [PubMed] [Google Scholar]
  67. Mairinger S, et al. PET and SPECT radiotracers to assess function and expression of ABC transporters in vivo. Current Drug Metabolism. 2011;12:774–792. doi: 10.2174/138920011798356980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Mapstone M, et al. Plasma phospholipids identify antecedent memory impairment in older adults. Nat Med. 2014 doi: 10.1038/nm.3466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Meurs I, et al. Effects of deletion of macrophage ABCA7 on lipid metabolism and the development of atherosclerosis in the presence and absence of ABCA1. PLoS One. 2012;7:e30984. doi: 10.1371/journal.pone.0030984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Meyer EP, et al. Altered morphology and 3D architecture of brain vasculature in a mouse model for Alzheimer’s disease. Proc Natl Acad Sci U S A. 2008;105:3587–92. doi: 10.1073/pnas.0709788105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Mosconi L, et al. Maternal transmission of Alzheimer’s disease: prodromal metabolic phenotype and the search for genes. Hum Genomics. 2010;4:170–93. doi: 10.1186/1479-7364-4-3-170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Muzi M, et al. Imaging of cyclosporine inhibition of P-glycoprotein activity using 11C-verapamil in the brain: studies of healthy humans. Journal of Nuclear Medicine. 2009;50:1267–75. doi: 10.2967/jnumed.108.059162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Nazer B, et al. LRP promotes endocytosis and degradation, but not transcytosis, of the amyloid-beta peptide in a blood-brain barrier in vitro model. Neurobiol Dis. 2008;30:94–102. doi: 10.1016/j.nbd.2007.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Obermeier B, et al. Development, maintenance and disruption of the blood-brain barrier. Nat Med. 2013;19:1584–96. doi: 10.1038/nm.3407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Okamura T, et al. Noninvasive and quantitative assessment of the function of multidrug resistance-associated protein 1 in the living brain. Journal of Cerebral Blood Flow and Metabolism. 2009;29:504–11. doi: 10.1038/jcbfm.2008.135. [DOI] [PubMed] [Google Scholar]
  76. Paganetti P, et al. Increased efflux of amyloid-beta peptides through the blood-brain barrier by muscarinic acetylcholine receptor inhibition reduces pathological phenotypes in mouse models of brain amyloidosis. J Alzheimers Dis. 2014;38:767–86. doi: 10.3233/JAD-131091. [DOI] [PubMed] [Google Scholar]
  77. Pahnke J, et al. Alzheimer’s disease and blood-brain barrier function-Why have anti-beta-amyloid therapies failed to prevent dementia progression? Neurosci Biobehav Rev. 2009;33:1099–108. doi: 10.1016/j.neubiorev.2009.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Pahnke J, et al. Clinico-pathologic function of cerebral ABC transporters - implications for the pathogenesis of Alzheimer’s disease. Curr Alzheimer Res. 2008;5:396–405. doi: 10.2174/156720508785132262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Papadopoulos MC, Verkman AS. Aquaporin water channels in the nervous system. Nat Rev Neurosci. 2013;14:265–77. doi: 10.1038/nrn3468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Pflanzner T, et al. LRP1 mediates bidirectional transcytosis of amyloid-beta across the blood-brain barrier. Neurobiol Aging. 2011;32:2323 e1–11. doi: 10.1016/j.neurobiolaging.2010.05.025. [DOI] [PubMed] [Google Scholar]
  81. Pflanzner T, et al. Cellular prion protein participates in amyloid-beta transcytosis across the blood-brain barrier. J Cereb Blood Flow Metab. 2012;32:628–32. doi: 10.1038/jcbfm.2012.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Pollock H, et al. Perivascular spaces in the basal ganglia of the human brain: their relationship to lacunes. J Anat. 1997;191(Pt 3):337–46. doi: 10.1046/j.1469-7580.1997.19130337.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Qosa H, et al. Differences in amyloid-beta clearance across mouse and human blood-brain barrier models: Kinetic analysis and mechanistic modeling. Neuropharmacology. 2014;79:668–78. doi: 10.1016/j.neuropharm.2014.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Qosa H, et al. Enhanced brain amyloid-beta clearance by rifampicin and caffeine as a possible protective mechanism against Alzheimer’s disease. J Alzheimers Dis. 2012;31:151–65. doi: 10.3233/JAD-2012-120319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Rajagopal A, Simon SM. Subcellular localization and activity of multidrug resistance proteins. Mol Biol Cell. 2003;14:3389–99. doi: 10.1091/mbc.E02-11-0704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Reitz C, et al. Variants in the ATP-binding cassette transporter (ABCA7), apolipoprotein E 4, and the risk of late-onset Alzheimer disease in African Americans. JAMA. 2013;309:1483–92. doi: 10.1001/jama.2013.2973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Ritchie K, et al. The neuroprotective effects of caffeine: a prospective population study (the Three City Study) Neurology. 2007;69:536–45. doi: 10.1212/01.wnl.0000266670.35219.0c. [DOI] [PubMed] [Google Scholar]
  88. Saint-Pol J, et al. Oxysterols decrease apical-to-basolateral transport of Ass peptides via an ABCB1-mediated process in an in vitro Blood-brain barrier model constituted of bovine brain capillary endothelial cells. Brain Res. 2013;1517:1–15. doi: 10.1016/j.brainres.2013.04.008. [DOI] [PubMed] [Google Scholar]
  89. Savica R, et al. Incidence of dementia with Lewy bodies and Parkinson disease dementia. JAMA Neurol. 2013;70:1396–402. doi: 10.1001/jamaneurol.2013.3579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Scheffler K, et al. Mitochondrial DNA polymorphisms specifically modify cerebral beta-amyloid proteostasis. Acta Neuropathol. 2012;124:199–208. doi: 10.1007/s00401-012-0980-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Schinkel AH, Jonker JW. Mammalian drug efflux transporters of the ATP binding cassette (ABC) family: an overview. Adv Drug Deliv Rev. 2003;55:3–29. doi: 10.1016/s0169-409x(02)00169-2. [DOI] [PubMed] [Google Scholar]
  92. Schley D, et al. Mechanisms to explain the reverse perivascular transport of solutes out of the brain. J Theor Biol. 2006;238:962–74. doi: 10.1016/j.jtbi.2005.07.005. [DOI] [PubMed] [Google Scholar]
  93. Schumacher T, et al. ABC transporters B1, C1 and G2 differentially regulate neuroregeneration in mice. PLoS One. 2012;7:e35613. doi: 10.1371/journal.pone.0035613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Serot JM, et al. Choroid plexus, aging of the brain, and Alzheimer’s disease. Front Biosci. 2003;8:s515–21. doi: 10.2741/1085. [DOI] [PubMed] [Google Scholar]
  95. Shen S, et al. ABCG2 reduces ROS-mediated toxicity and inflammation: a potential role in Alzheimer’s disease. J Neurochem. 2010;114:1590–604. doi: 10.1111/j.1471-4159.2010.06887.x. [DOI] [PubMed] [Google Scholar]
  96. Szakacs G, et al. Targeting multidrug resistance in cancer. Nature Reviews Drug Discovery. 2006;5:219–34. doi: 10.1038/nrd1984. [DOI] [PubMed] [Google Scholar]
  97. Tai LM, et al. P-glycoprotein and breast cancer resistance protein restrict apical-to-basolateral permeability of human brain endothelium to amyloid-beta. J Cereb Blood Flow Metab. 2009;29:1079–83. doi: 10.1038/jcbfm.2009.42. [DOI] [PubMed] [Google Scholar]
  98. Tan EK, et al. Effect of MDR1 haplotype on risk of Parkinson disease. Arch Neurol. 2005;62:460–4. doi: 10.1001/archneur.62.3.460. [DOI] [PubMed] [Google Scholar]
  99. Tanaka N, et al. Helical apolipoproteins of high-density lipoprotein enhance phagocytosis by stabilizing ATP-binding cassette transporter A7. J Lipid Res. 2010;51:2591–9. doi: 10.1194/jlr.M006049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Tanaka N, et al. HMG-CoA reductase inhibitors enhance phagocytosis by upregulating ATP-binding cassette transporter A7. Atherosclerosis. 2011;217:407–14. doi: 10.1016/j.atherosclerosis.2011.06.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Tecedor L, et al. CLN3 loss disturbs membrane microdomain properties and protein transport in brain endothelial cells. J Neurosci. 2013;33:18065–79. doi: 10.1523/JNEUROSCI.0498-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Tsutsumi S, et al. The Virchow-Robin spaces: delineation by magnetic resonance imaging with considerations on anatomofunctional implications. Childs Nerv Syst. 2011;27:2057–66. doi: 10.1007/s00381-011-1574-y. [DOI] [PubMed] [Google Scholar]
  103. van Assema DM, et al. Blood-brain barrier P-glycoprotein function in Alzheimer’s disease. Brain. 2012a;135:181–9. doi: 10.1093/brain/awr298. [DOI] [PubMed] [Google Scholar]
  104. van Assema DM, et al. Blood-brain barrier P-glycoprotein function in healthy subjects and Alzheimer’s disease patients: effect of polymorphisms in the ABCB1 gene. EJNMMI Res. 2012b;2:57. doi: 10.1186/2191-219X-2-57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. van Gelder BM, et al. Coffee consumption is inversely associated with cognitive decline in elderly European men: the FINE Study. Eur J Clin Nutr. 2007;61:226–32. doi: 10.1038/sj.ejcn.1602495. [DOI] [PubMed] [Google Scholar]
  106. Vann Jones SA, O’Brien JT. The prevalence and incidence of dementia with Lewy bodies: a systematic review of population and clinical studies. Psychol Med. 2014;44:673–83. doi: 10.1017/S0033291713000494. [DOI] [PubMed] [Google Scholar]
  107. Vardarajan BN, et al. Age-Specific Incidence Rates for Dementia and Alzheimer Disease in NIA-LOAD/NCRAD and EFIGA Families: National Institute on Aging Genetics Initiative for Late-Onset Alzheimer Disease/National Cell Repository for Alzheimer Disease (NIA-LOAD/NCRAD) and Estudio Familiar de Influencia Genetica en Alzheimer (EFIGA) JAMA Neurol. 2014;71:315–23. doi: 10.1001/jamaneurol.2013.5570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Vasquez JB, et al. ABCA7 expression is associated with Alzheimer’s disease polymorphism and disease status. Neurosci Lett. 2013;556:58–62. doi: 10.1016/j.neulet.2013.09.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Verhaaren BF, et al. Alzheimer’s disease genes and cognition in the nondemented general population. Biol Psychiatry. 2013;73:429–34. doi: 10.1016/j.biopsych.2012.04.009. [DOI] [PubMed] [Google Scholar]
  110. Vogelgesang S, et al. Deposition of Alzheimer’s beta-amyloid is inversely correlated with P-glycoprotein expression in the brains of elderly non-demented humans. Pharmacogenetics. 2002;12:535–41. doi: 10.1097/00008571-200210000-00005. [DOI] [PubMed] [Google Scholar]
  111. Vogelgesang S, et al. The role of P-glycoprotein in cerebral amyloid angiopathy; implications for the early pathogenesis of Alzheimer’s disease. Curr Alzheimer Res. 2004;1:121–5. doi: 10.2174/1567205043332225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Weller RO, et al. Microvasculature changes and cerebral amyloid angiopathy in Alzheimer’s disease and their potential impact on therapy. Acta Neuropathol. 2009;118:87–102. doi: 10.1007/s00401-009-0498-z. [DOI] [PubMed] [Google Scholar]
  113. Weller RO, et al. Pathways of fluid drainage from the brain--morphological aspects and immunological significance in rat and man. Brain Pathol. 1992;2:277–84. doi: 10.1111/j.1750-3639.1992.tb00704.x. [DOI] [PubMed] [Google Scholar]
  114. Westerlund M, et al. Association of a polymorphism in the ABCB1 gene with Parkinson’s disease. Parkinsonism Relat Disord. 2009;15:422–4. doi: 10.1016/j.parkreldis.2008.11.010. [DOI] [PubMed] [Google Scholar]
  115. Xiong H, et al. ABCG2 is upregulated in Alzheimer’s brain with cerebral amyloid angiopathy and may act as a gatekeeper at the blood-brain barrier for Abeta(1-40) peptides. J Neurosci. 2009;29:5463–75. doi: 10.1523/JNEUROSCI.5103-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Zhang ET, et al. Interrelationships of the pia mater and the perivascular (Virchow-Robin) spaces in the human cerebrum. J Anat. 1990;170:111–23. [PMC free article] [PubMed] [Google Scholar]
  117. Zhou C, et al. Atp-binding cassette transporter ABC2/ABCA2 in the rat brain: a novel mammalian lysosome-associated membrane protein and a specific marker for oligodendrocytes but not for myelin sheaths. J Neurosci. 2001;21:849–57. doi: 10.1523/JNEUROSCI.21-03-00849.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Zschiedrich K, et al. MDR1 variants and risk of Parkinson disease. Association with pesticide exposure? J Neurol. 2009;256:115–20. doi: 10.1007/s00415-009-0089-x. [DOI] [PubMed] [Google Scholar]

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