Is Alzheimer’s Disease a Liver Disease of the Brain?
Abstract
Clinical specialization is not only a force for progress, but it has also led to the fragmentation of medical knowledge. The focus of research in the field of Alzheimer’s disease (AD) is neurobiology, while hepatologists focus on liver diseases and lipid specialists on atherosclerosis. This article on AD focuses on the role of the liver and lipid homeostasis in the development of AD. Amyloid-β (Aβ) deposits accumulate as plaques in the brain of an AD patient long before cognitive decline is evident. Aβ generation is a normal physiological process; the steady-state level of Aβ in the brain is determined by balance between Aβ production and its clearance. We present evidence suggesting that the liver is the origin of brain Aβ deposits and that it is involved in peripheral clearance of circulating Aβ in the blood. Hence the liver could be targeted to decrease Aβ production or increase peripheral clearance.
INTRODUCTION
In an ever more algorithmically-driven world, medical super-specialization often leads to blinkered thought and academic compartmentalization of medical care. Those with multisystem disorders are often looked after by a clutch of different specialists, while the rush to medical specialization leaves little time for those giving care to think laterally. Few neurologists or neuropsychiatrists dual accredit in General Internal Medicine and time precludes them following advances in other specialties. Among hepatologists, little thought is given to the extrahepatic sequelae of liver disease, while still fewer in the discipline recognize that many diseases which traditionally are thought to be specific to other organs may actually have a major hepatic component. Alzheimer’s disease (AD), the most common form of dementia, is a case in point. In the second most common neurodegenerative disorder, Parkinson’s disease, new research is suggesting a role for the microbiota-gut-brain axis in alpha-synuclein pathology in the brain (reviewed in [1]).
This review of AD, written from the perspective of hepatology and lipidology, presents evidence suggesting that the liver is the origin of brain amyloid-β (Aβ) deposits and that it is involved in peripheral clearance of circulating Aβ in the blood. Furthermore, useful new drugs for dementia may be focused on decreased hepatic production or increased peripheral clearance of Aβ protein.
AD affects more than 40 million people globally and is expected to hit 75.6 million by 2030. AD is the sixth leading cause of mortality in the United States, accounting for 3.6% of all deaths in 2014 [2]. In the United Kingdom, almost one in eight people (12.8%) died from AD in 2018; it is the biggest killer in women at 15.3% and the second biggest killer in men at 8%. The most common form of AD, which occurs sporadically late in life (late-onset AD, LOAD) is typified by deposition of Aβ within the brain [3, 4]. Aβ generation is a normal physiological process; the steady-state level of Aβ in the brain is determined by the balance between Aβ production and its clearance and an imbalance in the Aβ production/excretion rate is the basis of increased Aβ levels in AD.
AMYLOID-β HOMEOSTASIS
Altered production or clearance of a protein might be a trait (that is, lifelong) marker that precedes build-up of the protein in inclusions or aggregates.
Production
Three loci that modify Aβ accumulation and deposition in the brains of a mouse model of AD have been previously described: amyloid-β protein precursor (AβPP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2). Mutations in these loci result in abnormal processing of AβPP and increased generation of Aβ42, which aggregates as insoluble β-pleated sheets [5]. One of these, the PSEN2 gene encoding presenilin 2, a component of the γ-secretase activity is responsible for generating Aβ by proteolysis. Activity of mouse PSEN2, as measured by levels of mRNA accumulation, has unexpectedly been shown to be heritable in the liver, but not the brain, suggesting that the liver is the origin of brain Aβ deposits [6]. Sutcliffe and colleagues showed that peripheral administration of the anticancer drug, Imatinib, commonly known as Gleevac (a specific inhibitor of a number of tyrosine kinase enzymes), resulted in a 50% reduction in plasma and brain Aβ levels. As Imatinib does not cross the blood-brain barrier (BBB), this provided evidence that Aβ produced peripherally was contributing to brain Aβ. Imatinib lowers Aβ levels through indirect inhibition of γ-secretase activity [7]. Imatinib also renders AβPP less susceptible to proteolysis by β-secretase (BACE) without inhibiting BACE enzymatic activity or the processing of other BACE substrates [8]. However, plasma levels of Aβ42 did not change in patients with chronic myeloid leukemia treated with Imatinib [9], bringing into question whether it may have a role in individuals with Aβ dyshomeostasis.
The important study by Sutcliffe et al. [6] built on earlier findings that peripherally derived Aβ40 and Aβ42 can cross the BBB and that circulating Aβ could thus contribute to neurotoxicity [10, 11]. The implication that Aβ homeostasis was an interconnected system involving the liver and BBB to regulate brain Aβ was discussed at the time [12] but needs re-emphasizing now, with the addition of new data from the last decade.
The AβPP gene is located at chromosome 21q21 and individuals with Down’s syndrome, which results from trisomy of chromosome 21, develop AD neuropathology (reviewed in [13]). Individuals with partial trisomy of chromosome 21, which does not include the AβPP gene, fail to develop AD neuropathology, demonstrating that excess Aβ production is sufficient to cause AD (Fig. 1). In addition, recent tissue-specific metabolomic analysis revealed that the liver was the earliest affected organ in AβPP/PS1 mice during amyloid pathology progression [14]. Genetic variants affecting AβPP and Aβ processing are associated not only with early-onset autosomal dominant AD but also with LOAD [15].
Fig.1
Some factors altering the balance between amyloid Aβ production and clearance leading to dyshomeostasis. Peripheral clearance can remove 40–50% of Aβ burden in the brain [25, 26]. Aβ, amyloid-β; AβPP, amyloid-β protein precursor, LRP1, low-density lipoprotein receptor-related peptide 1; LDLR, low-density-lipoprotein receptor; P-gp, P-glycoprotein.
![Some factors altering the balance between amyloid Aβ production and clearance leading to dyshomeostasis. Peripheral clearance can remove 40–50% of Aβ burden in the brain [25, 26]. Aβ, amyloid-β; AβPP, amyloid-β protein precursor, LRP1, low-density lipoprotein receptor-related peptide 1; LDLR, low-density-lipoprotein receptor; P-gp, P-glycoprotein.](https://content.iospress.com:443/media/jad/2020/75-1/jad-75-1-jad190848/jad-75-jad190848-g001.jpg)
Generation of the AβPP by β- and γ-secretases occurs in early endosomes, followed by routing of Aβ to multivesicular bodies in HeLa and N2a cells and subsequently, a minute fraction of Aβ peptides can be secreted from the cells in association with exosomes [16]. Exosomes are extracellular membrane vesicles actively secreted by cells into the circulation that are involved in cell-to-cell communication in normal homeostasis. They can carry cargo across the BBB [17] and are carriers of Aβ in AD [18]. The BBB keeps neurotoxic plasma derived components out of the central nervous system, but recent studies suggest an early BBB breakdown in AD [19]. The receptor for advanced glycation end products (RAGE) has been implicated in the transport of Aβ across the BBB [11, 20]. Inhibiting RAGE has been shown to have significant therapeutic benefit in AD models [21]. High dietary advanced glycation end products have also been found to accelerate Aβ deposition in an AD murine model mediated by overexpression of RAGE [22].
Clearance
LOAD, the common form of AD, is characterized by an overall impairment in Aβ clearance [23]. Aβ clearance is a complex event that involves more than neurons and microglia [24]. Peripheral clearance of brain-derived Aβ exists physiologically. Efflux of Aβ to peripheral blood accounts for 50% of total brain Aβ clearance in humans [25], suggesting that the physiological Aβ clearance capacity of the peripheral system provides an important mechanism against Aβ accumulation in the brain. Hence, dysfunction of peripheral Aβ clearance may contribute to the development of AD.
In a murine model of AD using parabiosis (the anatomical joining of two animals for physiological research), it has been shown that parabiosis reduces brain Aβ burden through clearance by peripheral tissues and organs, including the liver [26]. In this model, it was calculated that the periphery can remove 40% of Aβ burden in the brain, similar to other estimates of the importance of peripheral physiological Aβ clearance [25]. Studies in another model system found a short half-life of both Aβ40 and Aβ42 after injection of only 2.5–3.0 min with the liver being the major organ responsible for plasma clearance, accounting for > 60% of the peptide uptake. Indeed, it was suggested that the capability of the liver to take-up, catabolize, and excrete large doses of Aβ, several orders of magnitude above its physiologic concentration may explain not only the femtomolar plasma levels of Aβ, but also the minor fluctuation observed with age and disease stages [27].
There are several potential pathways for the efflux of brain Aβ into the periphery. These include clearance via the glial-lymphatic (glymphatic) system [28] and transport across the BBB, mediated by low-density lipoprotein receptor-related peptide 1 (LRP1) [29, 30] and the low-density-lipoprotein receptor (LDLR). In animal models of AD, lack of LDLR enhances amyloid deposition in the brain [31], while LDLR overexpression increases the rate that Aβ enters the blood from the brain [32].
In plasma, a soluble form of LRP1 (sLRP1) is the major transport protein for peripheral Aβ [33]. Improving the binding of Aβ to a sLRP1 variant has been shown to increase the efficiency of Aβ clearance [34], suggesting that this binding prevents re-entry of Aβ to the brain. Impaired sLRP1 binding of plasma Aβ has also been reported to be an early biomarker for mild cognitive impairment preceding AD [35]. Brain-derived Aβ in the arterial blood is cleared physiologically when it goes through the capillary bed of the peripheral organs and tissues, including the liver [26]. LRP1 is the major receptor responsible for the saturable uptake of plasma free Aβ40 by the liver [36]. The remarkable therapeutic effect of the ayurvedic agent, Withania somnifera (also known as poison gooseberry or winter cherry, from the nightshade family), mediated through upregulation of liver LRP indicates that targeting the periphery offers a unique mechanism for Aβ clearance as this therapy reverses the behavioral deficits and pathology seen in AD models [37]. Atorvastatin has also been shown to upregulate liver LRP1 and this effect is mediated by the sterol response element-binding protein-2 (SREBP-2) in vitro and in vivo [38]. Statins can reduce AD risk and the effect varies with statin molecule, sex, and race/ethnicity [39].
Transthyretin, a protein involved in the transport of thyroid hormones and retinol, has been proposed as a protective protein in AD [40]. Transthyretin acts as a carrier of Aβ at the BBB and liver using LRP1 [41].
Thus, LRP1 is involved in three stages of the homeostatic control of Aβ clearance including 1) cell-surface LRP1 at the BBB and cerebrovascular cells, mediating brain-to-blood Aβ clearance, 2) circulating LRP1 providing a key endogenous peripheral ‘sink’ activity for plasma Aβ which prevents free Aβ access to the brain [42], and 3) LRP1 in the liver mediating systemic Aβ clearance [43] (Fig. 2).
Fig.2
Schematic representation of Alzheimer’s disease homeostasis showing amyloid-β (Aβ) production from amyloid-β protein precursor (AβPP) in the liver, dysregulated influx/efflux across blood-brain barrier (BBB) (1), transport in serum via soluble LRP1 (2) and exosomes [61] and saturable uptake of Aβ by liver via low-density lipoprotein receptor-related peptide 1 (LRP1) and low-density-lipoprotein receptor (LDLR) (3) with subsequent biliary clearance. RAGE, receptor for advanced glycation end products.
![Schematic representation of Alzheimer’s disease homeostasis showing amyloid-β (Aβ) production from amyloid-β protein precursor (AβPP) in the liver, dysregulated influx/efflux across blood-brain barrier (BBB) (1), transport in serum via soluble LRP1 (2) and exosomes [61] and saturable uptake of Aβ by liver via low-density lipoprotein receptor-related peptide 1 (LRP1) and low-density-lipoprotein receptor (LDLR) (3) with subsequent biliary clearance. RAGE, receptor for advanced glycation end products.](https://content.iospress.com:443/media/jad/2020/75-1/jad-75-1-jad190848/jad-75-jad190848-g002.jpg)
In a human study using amyloid PET with [11C]PiB, the C667T polymorphism of the LRP1 gene has been shown to be moderately, but significantly associated with global and regional amyloid deposition [44]. This finding is compatible with the Aβ hypothesis that impaired amyloid clearance contributes to amyloid deposition in LOAD.
LRP1 is capable of recognizing a wide variety of structurally-distinct ligands; Apolipoprotein E (ApoE) is one. ApoE polymorphic alleles are major genetic determinants of AD. Individuals carrying the epsilon (ɛ) 4 allele (APOE ɛ4) are at increased risk of AD, compared to those carrying the more common ɛ3 allele, whereas the ɛ2 allele decreases risk. Thus, at age 85 years, the lifetime risk of AD without reference to APOE genotype is 11% in males and 14% in females, compared to 51% for male APOE4 homozygotes and 60% for female APOE4 homozygotes, consistent with autosomal co-dominant inheritance of a moderately penetrant gene variant [45]. In a murine model, Aβ was mainly sequestered in the liver and its peripheral clearance was by influenced by ApoE [46]. A number of subsequent studies suggest that ApoE4 inhibits Aβ clearance and/or is less efficient in mediating Aβ peripheral clearance compared with ApoE3 and ApoE2 [47] (reviewed in [48, 49]). A biologically inspired nanostructure, ApoE3-reconstituted high-density lipoprotein, with high binding affinity to Aβ, rescues memory loss of mice with AD by accelerating the clearance of Aβ [50].
ApoE expression is transcriptionally induced through the action of the nuclear receptors peroxisome proliferator-activated receptor gamma (PPARγ) and liver X receptor (LXR) in coordination with retinoid X receptors (RXRs).
In the liver, LRP1 functions in concert with LDLR in the clearance of ApoE-containing particles circulating in plasma [51]. Biliary clearance of Aβ is not only mediated by LRP1, but also by the drug efflux pump, P-glycoprotein encoded by ABCB1 gene [52]. P-glycoprotein dysfunction in BBB active efflux of xenobiotics has been shown by imaging studies in individuals with early AD [53]. This raises the possibility that common pharmacological inhibitors of P-glycoprotein, such as amiodarone, lansoprazole, omeprazole, and other proton-pump inhibitors, tamoxifen and verapamil [54], could impact on Aβ clearance. A recent in vitro study using synthetic fluorescein-labelled Aβ40 and Aβ42 spiked into human liver homogenates has shown that Aβ degradation rates are lower in AD-derived homogenates as compared with those from non-demented control subjects, even after accounting for the covariates of age, sex, and APOE genotype. The authors conclude that their results “support the possibility that impaired hepatic Aβ degradation could be a factor contributing to increased brain Aβ accumulation and AD” [55]. In addition, serum-based bile acid metabolites are associated with AD biomarkers, providing further evidence that bile acid pathways play a role in AD pathophysiology [56].
Plasma assays as screening tests for AD
Plasma Aβ levels tend to be nearer the lower limits of detection, but there is emerging consensus that “recent improvements in technologies to assess plasma levels of amyloid beta indicate that a single sample of blood could provide an accurate estimate of brain amyloid positivity” [57]. For example, measurement of plasma Aβ biomarkers by immunoprecipitation coupled with mass spectrometry has recently been shown to correlate with brain Aβ burden and levels of Aβ42 in cerebrospinal fluid (CSF) [58]. The biomarkers measured were ratios of AβPP669-711/Aβ42 and Aβ40/Aβ42 and their composites, confirming that plasma Aβ might reflect brain amyloid deposition. Another group has shown that the secondary structure distribution of Aβ in blood plasma, measured by an immuno-infrared sensor, is an excellent biomarker for AD, reflecting the Aβ burden in the brain [59]. The performance of Elecsys (Roche Diagnostics, Basel, Switzerland) immunoassays to measure plasma Aβ42 and Aβ40 has also recently been shown to predict Aβ status in all stages of AD and their accuracy can be increased by analyzing APOE genotype [60]. A recently reported promising approach is measuring exosome-bound Aβ; this has shown to better reflect PET imaging of brain amyloid plaques than unbound or total circulating Aβ and hence enable early diagnosis and disease monitoring [61].
Circadian rhythm
A rapidly growing body of research suggests that disturbances in the circadian system precede the emergence of the characteristic cognitive and motor symptoms of AD [62]. Aggregation of Aβ into extracellular plaques in the brain likely begins 20 years before the onset of dementia. Aβ concentrations in both humans and mouse models show Aβ concentrations rise during wakefulness and fall during sleep, that is, an Aβ diurnal pattern. Studies on sleep raise the possibility that altering sleep quality might impact Aβ deposition and may also regulate the clearance of Aβ from the brain [63]. Indeed, sleep has been identified as a factor which alters the production and/or clearance of Aβ in stable isotope labelling kinetic (SILK) studies measuring Aβ turnover in blood and within the brain [64]. SILK studies have shown that the Aβ42:Aβ40 turnover rate positively correlates with amyloid plaque load and demonstrate that understanding Aβ dynamics in different compartments including CSF, blood, and brain tissue is crucial to improving therapy. Thus, studies showing significantly lower levels of CSF Aβ42 in AD patients with more severe cognitive impairment [65] are unable to provide information on changes in Aβ turnover occurring either during the circadian cycle or during the progression of disease.
The clearance of amyloid from the brain during sleep is primarily via the glymphatic pathway [66, 67]. These lymphatic vessels exit the cranium along veins and arteries associated with the middle meningeal arteries, transporting waste via the deep cervical lymph nodes to the systemic circulation (reviewed in [68]). Initial functional studies in the sleeping brain have shown the importance of the glymphatic pathway in animal models. More recent research has demonstrated glymphatic efflux in patients with AD [69].
Proper functioning of the circadian system is determined by the orchestration of the suprachiasmatic nucleus in the hypothalamus and synchronized peripheral clocks in local tissues, including the liver. Mass spectrometry analyses of the mouse liver proteome has shown that many secreted proteins accumulate with a diurnal rhythm [70]. Circadian post-transcriptional and post-translational mechanisms play a key role in the temporal orchestration of liver-specific metabolic pathways [71]. Among those enriched in the liver cycling proteome are primary bile acid biosynthesis, bile secretion, protein processing in the ER, PPAR signaling pathway, and metabolism of xenobiotics. Hence poor sleep may be impacting on the hepatic production and biliary clearance of Aβ, as well as directly on the brain. The unfolded protein response (UPR) and circadian rhythm are intimately linked in the liver [72] and the UPR is emerging as a pharmaceutical candidate to combat neurodegenerative diseases [73]. It would hence be of interest to measure the diurnal pattern of plasma biomarkers of AD in relation to therapy.
THERAPEUTIC IMPLICATIONS OF PERIPHERAL PRODUCTION AND CLEARANCE OF Aβ
The aim of the G8 summit held in London in 2013 was “to create disease modifying treatment to stop, slow, or reverse the condition”, but, under the current conditions, only drugs currently in late phase I or later will have a chance of being approved by 2025 [74]. Drug development is costly, as is exemplified by anti-Aβ monoclonal antibodies (mAbs), some of which have progressed to evaluation in phase II and phase III trials [75]. To date, the most promising is Aducanumab (BIIB037; Biogen, Inc., Cambridge, MA), a fully human IgG1 mAb, which selectively reacts with Aβ aggregates, including soluble oligomers and insoluble fibrils [76]. This mAb has been shown to enter the brain, bind parenchymal Aβ, and reduce soluble and insoluble Aβ in a dose-dependent manner. However, some medications that are already licensed for other indications may be beneficial in AD by altering the peripheral pathways involved in the physiological homeostasis of Aβ. Therapies which could be repurposed include both licensed drugs and herbal remedies, for example:
Tauroursodeoxycholic acid (TUDCA) is the taurine conjugate of ursodeoxycholic acid (UDCA), a US Food and Drug Administration (FDA)-approved hydrophilic bile acid for the treatment of certain cholestatic liver diseases [77]. There is a growing body of research on the mechanism(s) of TUDCA and its potential therapeutic effect on a wide variety of non-liver diseases [78], including amyotrophic lateral sclerosis [79]. In a mouse model of AD, TUDCA supplementation has been shown to reduce hippocampal and pre-frontal amyloid deposition [80]. TUDCA affects biliary excretion and may predominantly act by altering the production/clearance dynamics of Aβ in the periphery. In AD patients an altered bile acid profile (increased ratio of deoxycholic acid:cholic acid, which reflects 7α-dehydroxylation of cholic acid by gut bacteria), has been shown to associate with cognitive decline, suggesting a possible role of gut-liver-brain axis in the pathogenesis of AD [81], analogous to Parkinson’s disease [1]. TUDCA is now being used in a phase II trial in combination with another repurposed drug, sodium phenylbutyrate, produced by Amylyx Pharmaceuticals Inc. (Cambridge, Mass, USA) (AMX0035), supported by the Alzheimer’s Drug Discovery Foundation and the Alzheimer’s Association.
Bile acids (chenodeoxycholic acid and cholic acid) are physiological ligands/activators of the nuclear receptors, farnesoid-X-receptor, pregnane-X-receptor (PXR) and constitutive androstane receptor, while lithocholic acid is a ligand for the Vitamin D receptor (VDR) and PXR [82]. These receptors generally form heterodimers with RXR [83].
Other nuclear receptor agonists
PPARγ may act as a master regulator of the transcription of several genes involved in LOAD pathogenesis [84]. PPARγ agonists such as the glitazone, pioglitazone, prescribed for the treatment of type 2 diabetes, promote amyloid clearance in animal models of AD [85]. A phase II study of pioglitazone in AD showed that it is safe and well tolerated and two large phase III trials are ongoing [86]. In patients with diabetes, pioglitazone treatment is a time- and dose-dependent protective factor against dementia [87]. Cilostazol enhances LRP1 expression in liver by activating PPARγ through the peroxisome proliferator response element in the LRP1 promoter [88]. In mice, combined PPARγ /LXR agonist treatment also reduces soluble and deposited forms of Aβ [89].
The RXR agonist, bexarotene (brand name: Targretin), which is approved by both the FDA and European Medicines Agency (EMA) for use in cutaneous T cell lymphoma, stimulates physiological Aβ clearance mechanisms, resulting in the rapid reversal of a broad range of Aβ-induced deficits in mouse models [90].
VDR - 1,25-dihydroxyvitamin D3(1,25(OH)2D3) treatment has been shown in vitro to enhance both Aβ40 efflux across the BBB and hepatic uptake by HepG2 cells, accompanied by increased LRP1 expression. It was suggested that the effect was exerted via the nuclear VDR and could explain how 1,25(OH)2D3 exerts neuroprotection against AD [91].
Flavonoids
Genistein is an isoflavone derived from the dyer’s broom plant, Genista tinctoria, which activates PPARs. Treatment of an AD mouse model with genistein results in improvement in various parameters of cognition, associated with a lowering of Aβ levels in brain and in the number and the area of amyloid plaques [92]. The authors conclude that “our results strongly suggest that controlled clinical trials should be performed to test the effect of genistein as treatment of human AD”.
Newly identified flavonoids which selectively target another nuclear receptor/pathway, LXRβ have also been found to reduce total brain Aβ and plaque burden in AβPP/PS1 double transgenic mice [93].
Silymarin, the main flavonoid extracted from milk thistle, has long been used as a medicinal herb for liver diseases. In a mouse model, it has been shown that Silymarin treatment was associated with a decline in Aβ oligomer production [94]. Silymarin can control the production of Aβ by inhibiting the precursor substance of Aβ, AβPP, and has potential for the treatment of AD [95].
Gene silencing and genome editing
The property of a therapeutic agent in AD to penetrate the BBB has generally been regarded as a prerequisite for new drugs [96]. Recognition of the importance of the liver in Aβ production and clearance means that targeting the liver might be a promising therapeutic approach.
The last decade has witnessed renewed interest in novel therapeutic agents aiming to prevent the production of disease-causing proteins at the level of mRNA, reviewed in [97]. Broadly, two oligonucleotide-based technologies are being deployed in this way, antisense oligonucleotides (ASO) and small interfering RNAs (siRNA), which respectively prevent translation or trigger RNA induced silencing complex (RISC)-dependent cleavage of a specific RNA target. A large number of disease targets reside in the liver where they are susceptible to modulation by oligonucleotide therapies [98]. The ASO mipomersen, targeting apolipoprotein B in the liver to treat familial hypercholesterolemia, was among the first such agents to be marketed [99]. The recent entry of large numbers of gene silencing agents into clinical trials owes much to the development of conjugates that enable specific delivery of the oligonucleotide to the cytoplasm of the desired target cell, allowing lower doses with fewer side effects. In particular, addition of N-Acetylgalactosamine conjugates, which bind with high specificity and affinity to the asialoglycoprotein receptor on hepatocytes has elicited robust gene silencing in vivo [100].
Proof of concept for silencing the production of a form of aberrant amyloid by the liver in order to prevent or reverse damage to the nervous system is provided by the rare metabolic disease, hereditary transthyretin amyloidosis. In this condition, mutant transthyretin is produced in the liver resulting in amyloid fibril deposition in various organs and heterogeneous clinical symptoms including peripheral neuropathy and cardiomyopathy [101]. Patirisan, a gene silencing agent delivered to the hepatocyte in a lipid nanoparticle, reduces the production of abnormal transthyretin and can halt or even reverse the process. Both Patirisan, an siRNA and Inotersen, an untargeted ASO, are approved by the FDA and EC for this disorder [102].
Whereas gene silencing provides a temporary fix, all be it with single dose duration of action above six months now regularly achievable, the ability to permanently alter the human genome remains an attractive possibility for patients with deleterious genetic mutations. This has been made possible by a series of technologies collectively known as genome editing for which CRISPR-Cas9 was the archetype. In murine models, liver-directed somatic genome editing with CRISPR-Cas9 is a novel and versatile approach with therapeutic potential in metabolic disorders [103]. The proof of principle that a gene can be targeted in mammalian hepatocytes in vivo would suggest that sequence-specific gene editing might be viable in humans [104–107]. In the future, liver-specific gene editing may be used to alter hepatic gene transcription for therapeutic purposes in AD. It is tempting to speculate that mutations in AβPP, PSEN1 [108], and ApoE4 [109] could be targeted with these technologies. In addition, as lifelong overexpression of wild-type AβPP causes AD in individuals with trisomy 21 (Down’s syndrome), so the normal hepatic AβPP gene could be targeted in AD to decrease production and alter the balance in favor of Aβ42 clearance.
LIVER DISEASES AND DEMENTIA
It is recognized that hepatic functionality should be considered when Aβ balance is addressed [24]. This is reflected in the situation of orthotopic liver transplantation (OLT) where the recipient passes through an anhepatic phase to reperfusion of the new organ. Postoperative cognitive dysfunction is observed in 11% to 44% of OLT patients and is unrelated with the success of a surgery. It is associated with an increase in the serum biomarkers of dementia including Aβ protein 24 h after surgery [110], presumably reflecting alterations in the clearance of Aβ as a result of OLT.
90% of people who die from liver disease are under the age of 70, but the majority of AD cases occur late in life (>65 years). However, a recent large epidemiological study demonstrated that comorbidities significantly associated with mild cognitive impairment and dementia were cirrhosis (OR 3.29, CI 1.29–8.41), cerebrovascular disease (OR 3.35, CI 2.62–4.28), asthma (OR 1.56, CI 1.07–2.27), and diabetes mellitus (OR 1.24, CI 1.07–1.44) [111]. In addition, some studies have shown associations of AD with specific liver diseases.
Hepatitis C virus (HCV)
Chronic HCV infection has been found to be associated with dementia in a large population-based cohort (Hazard ratio 1.36 [95% CI 1.27–1.42]) [112]. More recently, a predictor of cirrhosis in chronic HCV infection, an elevated aspartate aminotransferase to alanine aminotransferase ratio, has been reported to be associated with AD diagnosis (Odds ratio: 7.932) [113]. ApoE, a critical player in Aβ homeostasis, is intimately involved in production of infectious HCV particles [114] and is important in HCV cell entry. HCV may cross the BBB leading to neuroinflammation and neuropsychiatric symptoms [115]. We have reported ApoE deficiency in HCV associated depression [116]. Interestingly low plasma levels of ApoE are associated with increased risk of future AD and all dementia in the general population, independent of ɛ2/ɛ3/ɛ4 APOE genotype [117].
NAFLD, metabolic syndrome, and type 2 diabetes
Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease which is increasing in prevalence, in tandem with the obesity epidemic. NAFLD defines a spectrum of conditions from simple steatosis to non-alcoholic steatohepatitis and cirrhosis and is regarded as the hepatic manifestation of the metabolic syndrome. Hepatic insulin resistance is associated with NAFLD and is a major factor in the pathogenesis of type 2 diabetes and the metabolic syndrome [118].
Various epidemiological studies have shown that metabolic syndrome and type 2 diabetes [119] [120] are correlated with AD. In addition, short sleep duration and poor sleep quality are associated with an increased risk of both NAFLD [121] and AD [62].
In murine models, correlations between a high fat diet and elevated brain and serum Aβ42 have been observed [122], and NALFD induces signs of AD in wild-type mice and accelerates pathological signs of AD [123]. Advanced glycation end-products exacerbate progression of experimental NAFLD [124] and AD [22].
SUMMARY
An imbalance in the Aβ production/excretion rate underlies the increased brain concentrations of Aβ in AD. There is evidence suggesting that the liver is the origin of brain Aβ deposits and that it is involved in peripheral clearance of plasma Aβ. LRP-1 is the major receptor responsible for the saturable uptake of plasma free Aβ by the liver. A number of medications that are already licensed for other indications and herbal remedies that are currently available improve the Aβ balance in animal models via decreased hepatic production or increased biliary clearance. Hepatic functionality should be considered when Aβ balance is addressed and future developments could include liver-directed somatic genome editing and/or therapeutic gene silencing. Cirrhosis, chronic hepatitis C infection, and NAFLD, the hepatic manifestation of metabolic syndrome, are associated with an increased risk of AD, despite chronic liver disease leading to an early death (under the age of 70 years) in 90% of patients and LOAD manifesting after the age of 65 years.
Clinical specialization, subspecialization, and subsubspecialization has some advantages in terms of creating standards but could be said to be leading to a growing fragmentation of medical care [125]. Hence, when a variant in the ATP-binding cassette A7 (ABCA7) gene which encodes for a phospholipid transporter, is shown to be associated with LOAD [126], subsequent research focuses on brain mRNA and protein expression [127]. Conversely, hepatologists, who have highly focused knowledge and skills, do not see patients with dementia or keep abreast with the scientific progress in the field of AD. Most patients with long-term conditions and co-morbidities want physicians who see them as a whole person and can deliver holistic care. Perhaps the time has come for a more physiological approach to AD, looking at the integrative function of organs and a multidisciplinary approach to reversing the epidemic?
ACKNOWLEDGMENTS
MFB and STR are grateful to the National Institute for Health Research Biomedical Research Centre at Imperial College London for infrastructure support [grant number 2011-NIHR 7068]. STR was supported by a Wellcome Institutional Strategic Support Grant at Imperial College London.
Authors’ disclosures available online (https://www.j-alz.com/manuscript-disclosures/19-0848r2).
REFERENCES
[1] | Fitzgerald E , Murphy S , Martinson HA ((2019) ) Alpha-synuclein pathology and the role of the microbiota in Parkinson’s disease. Front Neurosci 13: , 369. |
[2] | Heron M ((2016) ) Deaths: Leading causes for 2014. Natl Vital Stat Rep 65: , 1–96. |
[3] | Querfurth HW , LaFerla FM ((2010) ) Alzheimer’s disease. N Engl J Med 362: , 329–344. |
[4] | Selkoe DJ , Hardy J ((2016) ) The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol Med 8: , 595–608. |
[5] | Hardy J ((2006) ) A hundred years of Alzheimer’s disease research. Neuron 52: , 3–13. |
[6] | Sutcliffe JG , Hedlund PB , Thomas EA , Bloom FE , Hilbush BS ((2011) ) Peripheral reduction of beta-amyloid is sufficient to reduce brain beta-amyloid: Implications for Alzheimer’s disease. J Neurosci Res 89: , 808–814. |
[7] | Netzer WJ , Dou F , Cai D , Veach D , Jean S , Li Y , Bornmann WG , Clarkson B , Xu H , Greengard P ((2003) ) Gleevec inhibits beta-amyloid production but not Notch cleavage. Proc Natl Acad Sci U S A 100: , 12444–12449. |
[8] | Netzer WJ , Bettayeb K , Sinha SC , Flajolet M , Greengard P , Bustos V ((2017) ) Gleevec shifts APP processing from a beta-cleavage to a nonamyloidogenic cleavage. Proc Natl Acad Sci U S A 114: , 1389–1394. |
[9] | Olsson B , Legros L , Guilhot F , Stromberg K , Smith J , Livesey FJ , Wilson DH , Zetterberg H , Blennow K ((2014) ) Imatinib treatment and Abeta42 in humans. Alzheimers Dement 10: , S374–380. |
[10] | Poduslo JF , Curran GL , Haggard JJ , Biere AL , Selkoe DJ ((1997) ) Permeability and residual plasma volume of human, Dutch variant, and rat amyloid beta-protein 1-40 at the blood-brain barrier. Neurobiol Dis 4: , 27–34. |
[11] | Mackic JB , Stins M , McComb JG , Calero M , Ghiso J , Kim KS , Yan SD , Stern D , Schmidt AM , Frangione B , Zlokovic BV ((1998) ) Human blood-brain barrier receptors for Alzheimer’s amyloid-beta 1- 40. Asymmetrical binding, endocytosis, and transcytosis at the apical side of brain microvascular endothelial cell monolayer. J Clin Invest 102: , 734–743. |
[12] | Sagare AP , Winkler EA , Bell RD , Deane R , Zlokovic BV ((2011) ) From the liver to the blood-brain barrier: An interconnected system regulating brain amyloid-beta levels. J Neurosci Res 89: , 967–968. |
[13] | Guerreiro RJ , Gustafson DR , Hardy J ((2012) ) The genetic architecture of Alzheimer’s disease: Beyond APP, PSENs and APOE. Neurobiol Aging 33: , 437–456. |
[14] | Zheng H , Cai A , Shu Q , Niu Y , Xu P , Li C , Lin L , Gao H ((2019) ) Tissue-specific metabolomics analysis identifies the liver as a major organ of metabolic disorders in amyloid precursor protein/presenilin 1 mice of Alzheimer’s disease. J Proteome Res 18: , 1218–1227. |
[15] | Kunkle BW , Grenier-Boley B , Sims R , Bis JC , Damotte V , Naj AC , Boland A , Vronskaya M , van der Lee SJ , Amlie-Wolf A , Bellenguez C , Frizatti A , Chouraki V , Martin ER , Sleegers K , Badarinarayan N , Jakobsdottir J , Hamilton-Nelson KL , Moreno-Grau S , Olaso R , Raybould R , Chen Y , Kuzma AB , Hiltunen M , Morgan T , Ahmad S , Vardarajan BN , Epelbaum J , Hoffmann P , Boada M , Beecham GW , Garnier JG , Harold D , Fitzpatrick AL , Valladares O , Moutet ML , Gerrish A , Smith AV , Qu L , Bacq D , Denning N , Jian X , Zhao Y , Del Zompo M , Fox NC , Choi SH , Mateo I , Hughes JT , Adams HH , Malamon J , Sanchez-Garcia F , Patel Y , Brody JA , Dombroski BA , Naranjo MCD , Daniilidou M , Eiriksdottir G , Mukherjee S , Wallon D , Uphill J , Aspelund T , Cantwell LB , Garzia F , Galimberti D , Hofer E , Butkiewicz M , Fin B , Scarpini E , Sarnowski C , Bush WS , Meslage S , Kornhuber J , White CC , Song Y , Barber RC , Engelborghs S , Sordon S , Voijnovic D , Adams PM , Vandenberghe R , Mayhaus M , Cupples LA , Albert MS , De Deyn PP , Gu W , Himali JJ , Beekly D , Squassina A , Hartmann AM , Orellana A , Blacker D , Rodriguez-Rodriguez E , Lovestone S , Garcia ME , Doody RS , Munoz-Fernadez C , Sussams R , Lin H , Fairchild TJ , Benito YA , Holmes C , Karamujić-Čomić H , Frosch MP , Thonberg H , Maier W , Roshchupkin G , Ghetti B , Giedraitis V , Kawalia A , Li S , Huebinger RM , Kilander L , Moebus S , Hernández I , Kamboh MI , Brundin R , Turton J , Yang Q , Katz MJ , Concari L , Lord J , Beiser AS , Keene CD , Helisalmi S , Kloszewska I , Kukull WA , Koivisto AM , Lynch A , Tarraga L , Larson EB , Haapasalo A , Lawlor B , Mosley TH , Lipton RB , Solfrizzi V , Gill M , Longstreth WT Jr , Montine TJ , Frisardi V , Diez-Fairen M , Rivadeneira F , Petersen RC , Deramecourt V , Alvarez I , Salani F , Ciaramella A , Boerwinkle E , Reiman EM , Fievet N , Rotter JI , Reisch JS , Hanon O , Cupidi C , Uitterlinden AGA , Royall DR , Dufouil C , Maletta RG , de Rojas I , Sano M , Brice A , Cecchetti R , George-Hyslop PS , Ritchie K , Tsolaki M , Tsuang DW , Dubois B , Craig D , Wu CK , Soininen H , Avramidou D , Albin RL , Fratiglioni L , Germanou A , Apostolova LG , Keller L , Koutroumani M , Arnold SE , Panza F , Gkatzima O , Asthana S , Hannequin D , Whitehead P , Atwood CS , Caffarra P , Hampel H , Quintela I , Carracedo Á , Lannfelt L , Rubinsztein DC , Barnes LL , Pasquier F , Frölich L , Barral S , McGuinness B , Beach TG , Johnston JA , Becker JT , Passmore P , Bigio EH , Schott JM , Bird TD , Warren JD , Boeve BF , Lupton MK , Bowen JD , Proitsi P , Boxer A , Powell JF , Burke JR , Kauwe JSK , Burns JM , Mancuso M , Buxbaum JD , Bonuccelli U , Cairns NJ , McQuillin A , Cao C , Livingston G , Carlson CS , Bass NJ , Carlsson CM , Hardy J , Carney RM , Bras J , Carrasquillo MM , Guerreiro R , Allen M , Chui HC , Fisher E , Masullo C , Crocco EA , DeCarli C , Bisceglio G , Dick M , Ma L , Duara R , Graff-Radford NR , Evans DA , Hodges A , Faber KM , Scherer M , Fallon KB , Riemenschneider M , Fardo DW , Heun R , Farlow MR , Kölsch H , Ferris S , Leber M , Foroud TM , Heuser I , Galasko DR , Giegling I , Gearing M , Hüll M , Geschwind DH , Gilbert JR , Morris J , Green RC , Mayo K , Growdon JH , Feulner T , Hamilton RL , Harrell LE , Drichel D , Honig LS , Cushion TD , Huentelman MJ , Hollingworth P , Hulette CM , Hyman BT , Marshall R , Jarvik GP , Meggy A , Abner E , Menzies GE , Jin LW , Leonenko G , Real LM , Jun GR , Baldwin CT , Grozeva D , Karydas A , Russo G , Kaye JA , Kim R , Jessen F , Kowall NW , Vellas B , Kramer JH , Vardy E , LaFerla FM , Jöckel KH , Lah JJ , Dichgans M , Leverenz JB , Mann D , Levey AI , Pickering-Brown S , Lieberman AP , Klopp N , Lunetta KL , Wichmann HE , Lyketsos CG , Morgan K , Marson DC , Brown K , Martiniuk F , Medway C , Mash DC , Nöthen MM , Masliah E , Hooper NM , McCormick WC , Daniele A , McCurry SM , Bayer A , McDavid AN , Gallacher J , McKee AC , van den Bussche H , Mesulam M , Brayne C , Miller BL , Riedel-Heller S , Miller CA , Miller JW , Al-Chalabi A , Morris JC , Shaw CE , Myers AJ , Wiltfang J , O’Bryant S , Olichney JM , Alvarez V , Parisi JE , Singleton AB , Paulson HL , Collinge J , Perry WR , Mead S , Peskind E , Cribbs DH , Rossor M , Pierce A , Ryan NS , Poon WW , Nacmias B , Potter H , Sorbi S , Quinn JF , Sacchinelli E , Raj A , Spalletta G , Raskind M , Caltagirone C , Bossù P , Orfei MD , Reisberg B , Clarke R , Reitz C , Smith AD , Ringman JM , Warden D , Roberson ED , Wilcock G , Rogaeva E , Bruni AC , Rosen HJ , Gallo M , Rosenberg RN , Ben-Shlomo Y , Sager MA , Mecocci P , Saykin AJ , Pastor P , Cuccaro ML , Vance JM , Schneider JA , Schneider LS , Slifer S , Seeley WW , Smith AG , Sonnen JA , Spina S , Stern RA , Swerdlow RH , Tang M , Tanzi RE , Trojanowski JQ , Troncoso JC , Van Deerlin VM , Van Eldik LJ , Vinters HV , Vonsattel JP , Weintraub S , Welsh-Bohmer KA , Wilhelmsen KC , Williamson J , Wingo TS , Woltjer RL , Wright CB , Yu CE , Yu L , Saba Y ; Alzheimer Disease Genetics Consortium (ADGC); European Alzheimer’s Disease Initiative (EADI); Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE); Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Pilotto A , Bullido MJ , Peters O , Crane PK , Bennett D , Bosco P , Coto E , Boccardi V , De Jager PL , Lleo A , Warner N , Lopez OL , Ingelsson M , Deloukas P , Cruchaga C , Graff C , Gwilliam R , Fornage M , Goate AM , Sanchez-Juan P , Kehoe PG , Amin N , Ertekin-Taner N , Berr C , Debette S , Love S , Launer LJ , Younkin SG , Dartigues JF , Corcoran C , Ikram MA , Dickson DW , Nicolas G , Campion D , Tschanz J , Schmidt H , Hakonarson H , Clarimon J , Munger R , Schmidt R , Farrer LA , Van Broeckhoven C , O’Donovan MC , DeStefano AL , Jones L , Haines JL , Deleuze JF , Owen MJ , Gudnason V , Mayeux R , Escott-Price V , Psaty BM , Ramirez A , Wang LS , Ruiz A , van Duijn CM , Holmans PA , Seshadri S , Williams J , Amouyel P , Schellenberg GD , Lambert JC , Pericak-Vance MA ((2019) ) Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nat Genet 51: , 414–430. |
[16] | Rajendran L , Honsho M , Zahn TR , Keller P , Geiger KD , Verkade P , Simons K ((2006) ) Alzheimer’s disease beta-amyloid peptides are released in association with exosomes. Proc Natl Acad Sci U S A 103: , 11172–11177. |
[17] | Shao H , Chung J , Balaj L , Charest A , Bigner DD , Carter BS , Hochberg FH , Breakefield XO , Weissleder R , Lee H ((2012) ) Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy. Nat Med 18: , 1835–1840. |
[18] | Sardar Sinha M , Ansell-Schultz A , Civitelli L , Hildesjo C , Larsson M , Lannfelt L , Ingelsson M , Hallbeck M ((2018) ) Alzheimer’s disease pathology propagation by exosomes containing toxic amyloid-beta oligomers. Acta Neuropathol 136: , 41–56. |
[19] | Montagne A , Zhao Z , Zlokovic BV ((2017) ) Alzheimer’s disease: A matter of blood-brain barrier dysfunction? J Exp Med 214: , 3151–3169. |
[20] | Deane R , Du Yan S , Submamaryan RK , LaRue B , Jovanovic S , Hogg E , Welch D , Manness L , Lin C , Yu J , Zhu H , Ghiso J , Frangione B , Stern A , Schmidt AM , Armstrong DL , Arnold B , Liliensiek B , Nawroth P , Hofman F , Kindy M , Stern D , Zlokovic B ((2003) ) RAGE mediates amyloid-beta peptide transport across the blood-brain barrier and accumulation in brain. Nat Med 9: , 907–913. |
[21] | Deane R , Singh I , Sagare AP , Bell RD , Ross NT , LaRue B , Love R , Perry S , Paquette N , Deane RJ , Thiyagarajan M , Zarcone T , Fritz G , Friedman AE , Miller BL , Zlokovic BV ((2012) ) A multimodal RAGE-specific inhibitor reduces amyloid beta-mediated brain disorder in a mouse model of Alzheimer disease. J Clin Invest 122: , 1377–1392. |
[22] | Lubitz I , Ricny J , Atrakchi-Baranes D , Shemesh C , Kravitz E , Liraz-Zaltsman S , Maksin-Matveev A , Cooper I , Leibowitz A , Uribarri J , Schmeidler J , Cai W , Kristofikova Z , Ripova D , LeRoith D , Schnaider-Beeri M ((2016) ) High dietary advanced glycation end products are associated with poorer spatial learning and accelerated Abeta deposition in an Alzheimer mouse model. Aging Cell 15: , 309–316. |
[23] | Mawuenyega KG , Sigurdson W , Ovod V , Munsell L , Kasten T , Morris JC , Yarasheski KE , Bateman RJ ((2010) ) Decreased clearance of CNS beta-amyloid in Alzheimer’s disease. Science 330: , 1774. |
[24] | Zolezzi JM , Bastias-Candia S , Santos MJ , Inestrosa NC ((2014) ) Alzheimer’s disease: Relevant molecular and physiopathological events affecting amyloid-beta brain balance and the putative role of PPARs. Front Aging Neurosci 6: , 176. |
[25] | Roberts KF , Elbert DL , Kasten TP , Patterson BW , Sigurdson WC , Connors RE , Ovod V , Munsell LY , Mawuenyega KG , Miller-Thomas MM , Moran CJ , Cross DT 3rd , Derdeyn CP , Bateman RJ ((2014) ) Amyloid-beta efflux from the central nervous system into the plasma. Ann Neurol 76: , 837–844. |
[26] | Xiang Y , Bu XL , Liu YH , Zhu C , Shen LL , Jiao SS , Zhu XY , Giunta B , Tan J , Song WH , Zhou HD , Zhou XF , Wang YJ ((2015) ) Physiological amyloid-beta clearance in the periphery and its therapeutic potential for Alzheimer’s disease. Acta Neuropathol 130: , 487–499. |
[27] | Ghiso J , Shayo M , Calero M , Ng D , Tomidokoro Y , Gandy S , Rostagno A , Frangione B ((2004) ) Systemic catabolism of Alzheimer’s Abeta40 and Abeta42. J Biol Chem 279: , 45897–45908. |
[28] | Goodman JR , Adham ZO , Woltjer RL , Lund AW , Iliff JJ ((2018) ) Characterization of dural sinus-associated lymphatic vasculature in human Alzheimer’s dementia subjects. Brain Behav Immun 73: , 34–40. |
[29] | Shibata M , Yamada S , Kumar SR , Calero M , Bading J , Frangione B , Holtzman DM , Miller CA , Strickland DK , Ghiso J , Zlokovic BV ((2000) ) Clearance of Alzheimer’s amyloid-ss(1-40) peptide from brain by LDL receptor-related protein-1 at the blood-brain barrier. J Clin Invest 106: , 1489–1499. |
[30] | Storck SE , Meister S , Nahrath J , Meissner JN , Schubert N , Di Spiezio A , Baches S , Vandenbroucke RE , Bouter Y , Prikulis I , Korth C , Weggen S , Heimann A , Schwaninger M , Bayer TA , Pietrzik CU ((2016) ) Endothelial LRP1 transports amyloid-beta(1-42) across the blood-brain barrier. J Clin Invest 126: , 123–136. |
[31] | Katsouri L , Georgopoulos S ((2011) ) Lack of LDL receptor enhances amyloid deposition and decreases glial response in an Alzheimer’s disease mouse model. PLoS One 6: , e21880. |
[32] | Castellano JM , Deane R , Gottesdiener AJ , Verghese PB , Stewart FR , West T , Paoletti AC , Kasper TR , DeMattos RB , Zlokovic BV , Holtzman DM ((2012) ) Low-density lipoprotein receptor overexpression enhances the rate of brain-to-blood Abeta clearance in a mouse model of beta-amyloidosis. Proc Natl Acad Sci U S A 109: , 15502–15507. |
[33] | Sagare AP , Deane R , Zlokovic BV ((2012) ) Low-density lipoprotein receptor-related protein 1: A physiological Abeta homeostatic mechanism with multiple therapeutic opportunities. Pharmacol Ther 136: , 94–105. |
[34] | Sagare AP , Bell RD , Srivastava A , Sengillo JD , Singh I , Nishida Y , Chow N , Zlokovic BV ((2013) ) A lipoprotein receptor cluster IV mutant preferentially binds amyloid-beta and regulates its clearance from the mouse brain. J Biol Chem 288: , 15154–15166. |
[35] | Sagare AP , Deane R , Zetterberg H , Wallin A , Blennow K , Zlokovic BV ((2011) ) Impaired lipoprotein receptor-mediated peripheral binding of plasma amyloid-beta is an early biomarker for mild cognitive impairment preceding Alzheimer’s disease. J Alzheimers Dis 24: , 25–34. |
[36] | Tamaki C , Ohtsuki S , Iwatsubo T , Hashimoto T , Yamada K , Yabuki C , Terasaki T ((2006) ) Major involvement of low-density lipoprotein receptor-related protein 1 in the clearance of plasma free amyloid beta-peptide by the liver. Pharm Res 23: , 1407–1416. |
[37] | Sehgal N , Gupta A , Valli RK , Joshi SD , Mills JT , Hamel E , Khanna P , Jain SC , Thakur SS , Ravindranath V ((2012) ) Withania somnifera reverses Alzheimer’s disease pathology by enhancing low-density lipoprotein receptor-related protein in liver. Proc Natl Acad Sci U S A 109: , 3510–3515. |
[38] | Moon JH , Kang SB , Park JS , Lee BW , Kang ES , Ahn CW , Lee HC , Cha BS ((2011) ) Up-regulation of hepatic low-density lipoprotein receptor-related protein 1: A possible novel mechanism of antiatherogenic activity of hydroxymethylglutaryl-coenzyme A reductase inhibitor Atorvastatin and hepatic LRP1 expression. Metabolism 60: , 930–940. |
[39] | Zissimopoulos JM , Barthold D , Brinton RD , Joyce G ((2017) ) Sex and race differences in the association between statin use and the incidence of Alzheimer disease. JAMA Neurol 74: , 225–232. |
[40] | Schwarzman AL , Gregori L , Vitek MP , Lyubski S , Strittmatter WJ , Enghilde JJ , Bhasin R , Silverman J , Weisgraber KH , Coyle PK , et al. ((1994) ) Transthyretin sequesters amyloid beta protein and prevents amyloid formation. Proc Natl Acad Sci U S A 91: , 8368–8372. |
[41] | Alemi M , Gaiteiro C , Ribeiro CA , Santos LM , Gomes JR , Oliveira SM , Couraud PO , Weksler B , Romero I , Saraiva MJ , Cardoso I ((2016) ) Transthyretin participates in beta-amyloid transport from the brain to the liver–involvement of the low-density lipoprotein receptor-related protein 1? Sci Rep 6: , 20164. |
[42] | Sagare A , Deane R , Bell RD , Johnson B , Hamm K , Pendu R , Marky A , Lenting PJ , Wu Z , Zarcone T , Goate A , Mayo K , Perlmutter D , Coma M , Zhong Z , Zlokovic BV ((2007) ) Clearance of amyloid-beta by circulating lipoprotein receptors. Nat Med 13: , 1029–1031. |
[43] | Zlokovic BV , Deane R , Sagare AP , Bell RD , Winkler EA ((2010) ) Low-density lipoprotein receptor-related protein-1: A serial clearance homeostatic mechanism controlling Alzheimer’s amyloid beta-peptide elimination from the brain. J Neurochem 115: , 1077–1089. |
[44] | Grimmer T , Goldhardt O , Guo LH , Yousefi BH , Forster S , Drzezga A , Sorg C , Alexopoulos P , Forstl H , Kurz A , Perneczky R ((2014) ) LRP-1 polymorphism is associated with global and regional amyloid load in Alzheimer’s disease in humans in-vivo. Neuroimage Clin 4: , 411–416. |
[45] | Genin E , Hannequin D , Wallon D , Sleegers K , Hiltunen M , Combarros O , Bullido MJ , Engelborghs S , De Deyn P , Berr C , Pasquier F , Dubois B , Tognoni G , Fievet N , Brouwers N , Bettens K , Arosio B , Coto E , Del Zompo M , Mateo I , Epelbaum J , Frank-Garcia A , Helisalmi S , Porcellini E , Pilotto A , Forti P , Ferri R , Scarpini E , Siciliano G , Solfrizzi V , Sorbi S , Spalletta G , Valdivieso F , Vepsalainen S , Alvarez V , Bosco P , Mancuso M , Panza F , Nacmias B , Bossu P , Hanon O , Piccardi P , Annoni G , Seripa D , Galimberti D , Licastro F , Soininen H , Dartigues JF , Kamboh MI , Van Broeckhoven C , Lambert JC , Amouyel P , Campion D ((2011) ) APOE and Alzheimer disease: A major gene with semi-dominant inheritance. Mol Psychiatry 16: , 903–907. |
[46] | Hone E , Martins IJ , Fonte J , Martins RN ((2003) ) Apolipoprotein E influences amyloid-beta clearance from the murine periphery. J Alzheimers Dis 5: , 1–8. |
[47] | Sharman MJ , Morici M , Hone E , Berger T , Taddei K , Martins IJ , Lim WL , Singh S , Wenk MR , Ghiso J , Buxbaum JD , Gandy S , Martins RN ((2010) ) APOE genotype results in differential effects on the peripheral clearance of amyloid-beta42 in APOE knock-in and knock-out mice. J Alzheimers Dis 21: , 403–409. |
[48] | Liu CC , Liu CC , Kanekiyo T , Xu H , Bu G ((2013) ) Apolipoprotein E and Alzheimer disease: Risk, mechanisms and therapy. Nat Rev Neurol 9: , 106–118. |
[49] | Liao F , Yoon H , Kim J ((2017) ) Apolipoprotein E metabolism and functions in brain and its role in Alzheimer’s disease. Curr Opin Lipidol 28: , 60–67. |
[50] | Song Q , Huang M , Yao L , Wang X , Gu X , Chen J , Chen J , Huang J , Hu Q , Kang T , Rong Z , Qi H , Zheng G , Chen H , Gao X ((2014) ) Lipoprotein-based nanoparticles rescue the memory loss of mice with Alzheimer’s disease by accelerating the clearance of amyloid-beta. ACS Nano 8: , 2345–2359. |
[51] | van de Sluis B , Wijers M , Herz J ((2017) ) News on the molecular regulation and function of hepatic low-density lipoprotein receptor and LDLR-related protein 1. Curr Opin Lipidol 28: , 241–247. |
[52] | Mohamed LA , Kaddoumi A ((2013) ) In vitro investigation of amyloid-beta hepatobiliary disposition in sandwich-cultured primary rat hepatocytes. Drug Metab Dispos 41: , 1787–1796. |
[53] | Deo AK , Borson S , Link JM , Domino K , Eary JF , Ke B , Richards TL , Mankoff DA , Minoshima S , O’Sullivan F , Eyal S , Hsiao P , Maravilla K , Unadkat JD ((2014) ) Activity of P-glycoprotein, a beta-amyloid transporter at the blood-brain barrier, is compromised in patients with mild Alzheimer disease. J Nucl Med 55: , 1106–1111. |
[54] | Wiggins BS , Saseen JJ , Page RL 2nd , Reed BN , Sneed K , Kostis JB , Lanfear D , Virani S , Morris PB , American Heart Association Clinical Pharmacology Committee of the Council on Clinical Cardiology; Council on Hypertension; Council on Quality of Care and Outcomes Research; and Council on Functional Genomics and Translational Biology ((2016) ) Recommendations for management of clinically significant drug-drug interactions with statins and select agents used in patients with cardiovascular disease: A scientific statement from the American Heart Association. Circulation 134: , e468–e495. |
[55] | Maarouf CL , Walker JE , Sue LI , Dugger BN , Beach TG , Serrano GE ((2018) ) Impaired hepatic amyloid-beta degradation in Alzheimer’s disease. PLoS One 13: , e0203659. |
[56] | Nho K , Kueider-Paisley A , MahmoudianDehkordi S , Arnold M , Risacher SL , Louie G , Blach C , Baillie R , Han X , Kastenmuller G , Jia W , Xie G , Ahmad S , Hankemeier T , van Duijn CM , Trojanowski JQ , Shaw LM , Weiner MW , Doraiswamy PM , Saykin AJ , Kaddurah-Daouk R , Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium ((2019) ) Altered bile acid profile in mild cognitive impairment and Alzheimer’s disease: Relationship to neuroimaging and CSF biomarkers. Alzheimers Dement 15: , 232–244. |
[57] | Bateman RJ , Blennow K , Doody R , Hendrix S , Lovestone S , Salloway S , Schindler R , Weiner M , Zetterberg H , Aisen P , Vellas B ((2019) ) Plasma biomarkers of AD emerging as essential tools for drug development: An EU/US CTAD Task Force Report. J Prev Alzheimers Dis 6: , 169–173. |
[58] | Nakamura A , Kaneko N , Villemagne VL , Kato T , Doecke J , Dore V , Fowler C , Li QX , Martins R , Rowe C , Tomita T , Matsuzaki K , Ishii K , Ishii K , Arahata Y , Iwamoto S , Ito K , Tanaka K , Masters CL , Yanagisawa K ((2018) ) High performance plasma amyloid-beta biomarkers for Alzheimer’s disease. Nature 554: , 249–254. |
[59] | Nabers A , Hafermann H , Wiltfang J , Gerwert K ((2019) ) Abeta and tau structure-based biomarkers for a blood- and CSF-based two-step recruitment strategy to identify patients with dementia due to Alzheimer’s disease. Alzheimers Dement (Amst) 11: , 257–263. |
[60] | Palmqvist S , Janelidze S , Stomrud E , Zetterberg H , Karl J , Zink K , Bittner T , Mattsson N , Eichenlaub U , Blennow K , Hansson O ((2019) ) Performance of fully automated plasma assays as screening tests for Alzheimer disease-related beta-amyloid status. JAMA Neurol 76: , 1060–1069. |
[61] | Lim CZJ , Zhang Y , Chen Y , Zhao H , Stephenson MC , Ho NRY , Chen Y , Chung J , Reilhac A , Loh TP , Chen CLH , Shao H ((2019) ) Subtyping of circulating exosome-bound amyloid beta reflects brain plaque deposition. Nat Commun 10: , 1144. |
[62] | Musiek ES , Xiong DD , Holtzman DM ((2015) ) Sleep, circadian rhythms, and the pathogenesis of Alzheimer disease. Exp Mol Med 47: , e148. |
[63] | Xie L , Kang H , Xu Q , Chen MJ , Liao Y , Thiyagarajan M , O’Donnell J , Christensen DJ , Nicholson C , Iliff JJ , Takano T , Deane R , Nedergaard M ((2013) ) Sleep drives metabolite clearance from the adult brain. Science 342: , 373–377. |
[64] | Paterson RW , Gabelle A , Lucey BP , Barthelemy NR , Leckey CA , Hirtz C , Lehmann S , Sato C , Patterson BW , West T , Yarasheski K , Rohrer JD , Wildburger NC , Schott JM , Karch CM , Wray S , Miller TM , Elbert DL , Zetterberg H , Fox NC , Bateman RJ ((2019) ) SILK studies - capturing the turnover of proteins linked to neurodegenerative diseases. Nat Rev Neurol 15: , 419–427. |
[65] | Mandecka M , Budziszewska M , Barczak A , Peplonska B , Chodakowska-Zebrowska M , Filipek-Gliszczynska A , Nesteruk M , Styczynska M , Barcikowska M , Gabryelewicz T ((2016) ) Association between cerebrospinal fluid biomarkers for Alzheimer’s disease, APOE genotypes and auditory verbal learning task in subjective cognitive decline, mild cognitive impairment, and Alzheimer’s disease. J Alzheimers Dis 54: , 157–168. |
[66] | Kress BT , Iliff JJ , Xia M , Wang M , Wei HS , Zeppenfeld D , Xie L , Kang H , Xu Q , Liew JA , Plog BA , Ding F , Deane R , Nedergaard M ((2014) ) Impairment of paravascular clearance pathways in the aging brain. Ann Neurol 76: , 845–861. |
[67] | Boespflug EL , Iliff JJ ((2018) ) The emerging relationship between interstitial fluid-cerebrospinal fluid exchange, amyloid-beta, and sleep. Biol Psychiatry 83: , 328–336. |
[68] | Rasmussen MK , Mestre H , Nedergaard M ((2018) ) The glymphatic pathway in neurological disorders. Lancet Neurol 17: , 1016–1024. |
[69] | Meng Y , Abrahao A , Heyn CC , Bethune AJ , Huang Y , Pople CB , Aubert I , Hamani C , Zinman L , Hynynen K , Black SE , Lipsman N ((2019) ) Glymphatics visualization after focused ultrasound-induced blood-brain barrier opening in humans. Ann Neurol 86: , 975–980. |
[70] | Mauvoisin D , Wang J , Jouffe C , Martin E , Atger F , Waridel P , Quadroni M , Gachon F , Naef F ((2014) ) Circadian clock-dependent and -independent rhythmic proteomes implement distinct diurnal functions in mouse liver. Proc Natl Acad Sci U S A 111: , 167–172. |
[71] | Robles MS , Cox J , Mann M ((2014) ) In-vivo quantitative proteomics reveals a key contribution of post-transcriptional mechanisms to the circadian regulation of liver metabolism. PLoS Genet 10: , e1004047. |
[72] | Moore PC , Oakes SA ((2017) ) CPEB4 links the clock and the UPR to protect the liver. Nat Cell Biol 19: , 79–81. |
[73] | Smith HL , Mallucci GR ((2016) ) The unfolded protein response: Mechanisms and therapy of neurodegeneration. Brain 139: , 2113–2121. |
[74] | Cummings J , Aisen PS , DuBois B , Frolich L , Jack CR Jr. , Jones RW , Morris JC , Raskin J , Dowsett SA , Scheltens P ((2016) ) Drug development in Alzheimer’s disease: The path to 2025. Alzheimers Res Ther 8: , 39. |
[75] | van Dyck CH ((2018) ) Anti-amyloid-beta monoclonal antibodies for Alzheimer’s disease: Pitfalls and promise. Biol Psychiatry 83: , 311–319. |
[76] | Sevigny J , Chiao P , Bussiere T , Weinreb PH , Williams L , Maier M , Dunstan R , Salloway S , Chen T , Ling Y , O’Gorman J , Qian F , Arastu M , Li M , Chollate S , Brennan MS , Quintero-Monzon O , Scannevin RH , Arnold HM , Engber T , Rhodes K , Ferrero J , Hang Y , Mikulskis A , Grimm J , Hock C , Nitsch RM , Sandrock A ((2016) ) The antibody aducanumab reduces Abeta plaques in Alzheimer’s disease. Nature 537: , 50–56. |
[77] | Cabrera D , Arab JP , Arrese M ((2019) ) UDCA, NorUDCA, and TUDCA in liver diseases: A review of their mechanisms of action and clinical applications. Handb Exp Pharmacol 256: , 237–264. |
[78] | Vang S , Longley K , Steer CJ , Low WC ((2014) ) The unexpected uses of urso- and tauroursodeoxycholic acid in the treatment of non-liver diseases. Glob Adv Health Med 3: , 58–69. |
[79] | Elia AE , Lalli S , Monsurro MR , Sagnelli A , Taiello AC , Reggiori B , La Bella V , Tedeschi G , Albanese A ((2016) ) Tauroursodeoxycholic acid in the treatment of patients with amyotrophic lateral sclerosis. Eur J Neurol 23: , 45–52. |
[80] | Lo AC , Callaerts-Vegh Z , Nunes AF , Rodrigues CM , D’Hooge R ((2013) ) Tauroursodeoxycholic acid (TUDCA) supplementation prevents cognitive impairment and amyloid deposition in APP/PS1 mice. Neurobiol Dis 50: , 21–29. |
[81] | MahmoudianDehkordi S , Arnold M , Nho K , Ahmad S , Jia W , Xie G , Louie G , Kueider-Paisley A , Moseley MA , Thompson JW , St John Williams L , Tenenbaum JD , Blach C , Baillie R , Han X , Bhattacharyya S , Toledo JB , Schafferer S , Klein S , Koal T , Risacher SL , Kling MA , Motsinger-Reif A , Rotroff DM , Jack J , Hankemeier T , Bennett DA , De Jager PL , Trojanowski JQ , Shaw LM , Weiner MW , Doraiswamy PM , van Duijn CM , Saykin AJ , Kastenmuller G , Kaddurah-Daouk R , Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium ((2019) ) Altered bile acid profile associates with cognitive impairment in Alzheimer’s disease-An emerging role for gut microbiome. Alzheimers Dement 15: , 76–92. |
[82] | Shin DJ , Wang L ((2019) ) Bile acid-activated receptors: A review on FXR and other nuclear receptors. Handb Exp Pharmacol 256: , 51–72. |
[83] | Sever R , Glass CK ((2013) ) Signaling by nuclear receptors. Cold Spring Harb Perspect Biol 5: , a016709. |
[84] | Barrera J , Subramanian S , Chiba-Falek O ((2018) ) Probing the role of PPARgamma in the regulation of late-onset Alzheimer’s disease-associated genes. PLoS One 13: , e0196943. |
[85] | Mandrekar-Colucci S , Karlo JC , Landreth GE ((2012) ) Mechanisms underlying the rapid peroxisome proliferator-activated receptor-gamma-mediated amyloid clearance and reversal of cognitive deficits in a murine model of Alzheimer’s disease. J Neurosci 32: , 10117–10128. |
[86] | Galimberti D , Scarpini E ((2017) ) Pioglitazone for the treatment of Alzheimer’s disease. Expert Opin Investig Drugs 26: , 97–101. |
[87] | Chou PS , Ho BL , Yang YH ((2017) ) Effects of pioglitazone on the incidence of dementia in patients with diabetes. J Diabetes Complications 31: , 1053–1057. |
[88] | Kim HJ , Moon JH , Kim HM , Yun MR , Jeon BH , Lee B , Kang ES , Lee HC , Cha BS ((2014) ) The hypolipidemic effect of cilostazol can be mediated by regulation of hepatic low-density lipoprotein receptor-related protein 1 (LRP1) expression. Metabolism 63: , 112–119. |
[89] | Skerrett R , Pellegrino MP , Casali BT , Taraboanta L , Landreth GE ((2015) ) Combined liver X receptor/peroxisome proliferator-activated receptor gamma agonist treatment reduces amyloid beta levels and improves behavior in amyloid precursor protein/presenilin 1 mice. J Biol Chem 290: , 21591–21602. |
[90] | Cramer PE , Cirrito JR , Wesson DW , Lee CY , Karlo JC , Zinn AE , Casali BT , Restivo JL , Goebel WD , James MJ , Brunden KR , Wilson DA , Landreth GE ((2012) ) ApoE-directed therapeutics rapidly clear beta-amyloid and reverse deficits in AD mouse models. Science 335: , 1503–1506. |
[91] | Guo YX , He LY , Zhang M , Wang F , Liu F , Peng WX ((2016) ) 1,25-Dihydroxyvitamin D3 regulates expression of LRP1 and RAGE in vitro and in vivo enhancing Abeta1-40 brain-to-blood efflux and peripheral uptake transport. Neuroscience 322: , 28–38. |
[92] | Bonet-Costa V , Herranz-Perez V , Blanco-Gandia M , Mas-Bargues C , Ingles M , Garcia-Tarraga P , Rodriguez-Arias M , Minarro J , Borras C , Garcia-Verdugo JM , Vina J ((2016) ) Clearing amyloid-beta through PPARgamma/ApoE activation by genistein is a treatment of experimental Alzheimer’s disease. J Alzheimers Dis 51: , 701–711. |
[93] | Hu Y , Yang Y , Yu Y , Wen G , Shang N , Zhuang W , Lu D , Zhou B , Liang B , Yue X , Li F , Du J , Bu X ((2013) ) Synthesis and identification of new flavonoids targeting liver X receptor beta involved pathway as potential facilitators of Abeta clearance with reduced lipid accumulation. J Med Chem 56: , 6033–6053. |
[94] | Murata N , Murakami K , Ozawa Y , Kinoshita N , Irie K , Shirasawa T , Shimizu T ((2010) ) Silymarin attenuated the amyloid beta plaque burden and improved behavioral abnormalities in an Alzheimer’s disease mouse model. Biosci Biotechnol Biochem 74: , 2299–2306. |
[95] | Guo H , Cao H , Cui X , Zheng W , Wang S , Yu J , Chen Z ((2019) ) Silymarin’s inhibition and treatment effects for Alzheimer’s disease. Molecules 24: , E1748. |
[96] | Maia MA , Sousa E ((2019) ) BACE-1 and gamma-secretase as therapeutic targets for Alzheimer’s disease. Pharmaceuticals (Basel) 12: , E41. |
[97] | Setten RL , Rossi JJ , Han SP ((2019) ) The current state and future directions of RNAi-based therapeutics. Nat Rev Drug Discov 18: , 421–446. |
[98] | Sehgal A , Vaishnaw A , Fitzgerald K ((2013) ) Liver as a target for oligonucleotide therapeutics. J Hepatol 59: , 1354–1359. |
[99] | Neely RD , Bassendine MF ((2010) ) Antisense technology to lower LDL cholesterol. Lancet 375: , 959–961. |
[100] | Matsuda S , Keiser K , Nair JK , Charisse K , Manoharan RM , Kretschmer P , Peng CG , A VKi , Kandasamy P , Willoughby JL , Liebow A , Querbes W , Yucius K , Nguyen T , Milstein S , Maier MA , Rajeev KG , Manoharan M ((2015) ) siRNA conjugates carrying sequentially assembled trivalent N-acetylgalactosamine linked through nucleosides elicit robust gene silencing in vivo in hepatocytes. ACS Chem Biol 10: , 1181–1187. |
[101] | Hayashi Y , Jono H ((2018) ) Recent advances in oligonucleotide-based therapy for transthyretin amyloidosis: Clinical impact and future prospects. Biol Pharm Bull 41: , 1737–1744. |
[102] | Benson MD , Waddington-Cruz M , Berk JL , Polydefkis M , Dyck PJ , Wang AK , Plante-Bordeneuve V , Barroso FA , Merlini G , Obici L , Scheinberg M , Brannagan TH 3rd , Litchy WJ , Whelan C , Drachman BM , Adams D , Heitner SB , Conceicao I , Schmidt HH , Vita G , Campistol JM , Gamez J , Gorevic PD , Gane E , Shah AM , Solomon SD , Monia BP , Hughes SG , Kwoh TJ , McEvoy BW , Jung SW , Baker BF , Ackermann EJ , Gertz MA , Coelho T ((2018) ) Inotersen treatment for patients with hereditary transthyretin amyloidosis. N Engl J Med 379: , 22–31. |
[103] | Jarrett KE , Lee CM , Yeh YH , Hsu RH , Gupta R , Zhang M , Rodriguez PJ , Lee CS , Gillard BK , Bissig KD , Pownall HJ , Martin JF , Bao G , Lagor WR ((2017) ) Somatic genome editing with CRISPR/Cas9 generates and corrects a metabolic disease. Sci Rep 7: , 44624. |
[104] | Ding Q , Strong A , Patel KM , Ng SL , Gosis BS , Regan SN , Cowan CA , Rader DJ , Musunuru K ((2014) ) Permanent alteration of PCSK9 with in vivo CRISPR-Cas9 genome editing. Circ Res 115: , 488–492. |
[105] | Bjursell M , Porritt MJ , Ericson E , Taheri-Ghahfarokhi A , Clausen M , Magnusson L , Admyre T , Nitsch R , Mayr L , Aasehaug L , Seeliger F , Maresca M , Bohlooly YM , Wiseman J ((2018) ) Therapeutic genome editing with CRISPR/Cas9 in a humanized mouse model ameliorates alpha1-antitrypsin deficiency phenotype. EBioMedicine 29: , 104–111. |
[106] | Conboy I , Murthy N , Etienne J , Robinson Z ((2018) ) Making gene editing a therapeutic reality. F1000Res 7: , F1000 Faculty Rev-1970. |
[107] | Skipper KA , Mikkelsen JG ((2019) ) Toward in vivo gene therapy using CRISPR. Methods Mol Biol 1961: , 293–306. |
[108] | Qiu Q , Shen L , Jia L , Wang Q , Li F , Li Y , Jia J ((2019) ) A novel PSEN1 M139L mutation found in a Chinese pedigree with early-onset Alzheimer’s disease increases Abeta42/Abeta40 ratio. J Alzheimers Dis 69: , 199–212. |
[109] | Safieh M , Korczyn AD , Michaelson DM ((2019) ) ApoE4: An emerging therapeutic target for Alzheimer’s disease. BMC Med 17: , 64. |
[110] | Li X , Wen DX , Zhao YH , Hang YN , Mandell MS ((2013) ) Increase of beta-amyloid and C-reactive protein in liver transplant recipients with postoperative cognitive dysfunction. Hepatobiliary Pancreat Dis Int 12: , 370–376. |
[111] | Chen TB , Yiao SY , Sun Y , Lee HJ , Yang SC , Chiu MJ , Chen TF , Lin KN , Tang LY , Lin CC , Wang PN ((2017) ) Comorbidity and dementia: A nationwide survey in Taiwan. PLoS One 12: , e0175475. |
[112] | Chiu WC , Tsan YT , Tsai SL , Chang CJ , Wang JD , Chen PC , Health Data Analysis in Taiwan (hDATa) Research Group ((2014) ) Hepatitis C viral infection and the risk of dementia. Eur J Neurol 21: , 1068–e1059. |
[113] | Nho K , Kueider-Paisley A , Ahmad S , MahmoudianDehkordi S , Arnold M , Risacher SL , Louie G , Blach C , Baillie R , Han X , Kastenmuller G , Trojanowski JQ , Shaw LM , Weiner MW , Doraiswamy PM , van Duijn C , Saykin AJ , Kaddurah-Daouk R , Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium ((2019) ) Association of altered liver enzymes with Alzheimer disease diagnosis, cognition, neuroimaging measures, and cerebrospinal fluid biomarkers. JAMA Netw Open 2: , e197978. |
[114] | Lee JY , Acosta EG , Stoeck IK , Long G , Hiet MS , Mueller B , Fackler OT , Kallis S , Bartenschlager R ((2014) ) Apolipoprotein E likely contributes to a maturation step of infectious hepatitis C virus particles and interacts with viral envelope glycoproteins. J Virol 88: , 12422–12437. |
[115] | Yarlott L , Heald E , Forton D ((2017) ) Hepatitis C virus infection, and neurological and psychiatric disorders - A review. J Adv Res 8: , 139–148. |
[116] | Sheridan DA , Bridge SH , Crossey MM , Felmlee DJ , Thomas HC , Neely RD , Taylor-Robinson SD , Bassendine MF ((2014) ) Depressive symptoms in chronic hepatitis C are associated with plasma apolipoprotein E deficiency. Metab Brain Dis 29: , 625–634. |
[117] | Rasmussen KL , Tybjaerg-Hansen A , Nordestgaard BG , Frikke-Schmidt R ((2015) ) Plasma levels of apolipoprotein E and risk of dementia in the general population. Ann Neurol 77: , 301–311. |
[118] | Kumashiro N , Erion DM , Zhang D , Kahn M , Beddow SA , Chu X , Still CD , Gerhard GS , Han X , Dziura J , Petersen KF , Samuel VT , Shulman GI ((2011) ) Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease. Proc Natl Acad Sci U S A 108: , 16381–16385. |
[119] | Huang CC , Chung CM , Leu HB , Lin LY , Chiu CC , Hsu CY , Chiang CH , Huang PH , Chen TJ , Lin SJ , Chen JW , Chan WL ((2014) ) Diabetes mellitus and the risk of Alzheimer’s disease: A nationwide population-based study. PLoS One 9: , e87095. |
[120] | Zhang J , Chen C , Hua S , Liao H , Wang M , Xiong Y , Cao F ((2017) ) An updated meta-analysis of cohort studies: Diabetes and risk of Alzheimer’s disease. Diabetes Res Clin Pract 124: , 41–47. |
[121] | Kim CW , Yun KE , Jung HS , Chang Y , Choi ES , Kwon MJ , Lee EH , Woo EJ , Kim NH , Shin H , Ryu S ((2013) ) Sleep duration and quality in relation to non-alcoholic fatty liver disease in middle-aged workers and their spouses. J Hepatol 59: , 351–357. |
[122] | Yang HT , Sheen YJ , Kao CD , Chang CA , Hu YC , Lin JL ((2013) ) Association between the characteristics of metabolic syndrome and Alzheimer’s disease. Metab Brain Dis 28: , 597–604. |
[123] | Kim DG , Krenz A , Toussaint LE , Maurer KJ , Robinson SA , Yan A , Torres L , Bynoe MS ((2016) ) Non-alcoholic fatty liver disease induces signs of Alzheimer’s disease (AD) in wild-type mice and accelerates pathological signs of AD in an AD model. J Neuroinflammation 13: , 1. |
[124] | Leung C , Herath CB , Jia Z , Goodwin M , Mak KY , Watt MJ , Forbes JM , Angus PW ((2014) ) Dietary glycotoxins exacerbate progression of experimental fatty liver disease. J Hepatol 60: , 832–838. |
[125] | Cassel CK , Reuben DB ((2011) ) Specialization, subspecialization, and subsubspecialization in internal medicine. N Engl J Med 364: , 1169–1173. |
[126] | Steinberg S , Stefansson H , Jonsson T , Johannsdottir H , Ingason A , Helgason H , Sulem P , Magnusson OT , Gudjonsson SA , Unnsteinsdottir U , Kong A , Helisalmi S , Soininen H , Lah JJ , DemGene , Aarsland D , Fladby T , Ulstein ID , Djurovic S , Sando SB , White LR , Knudsen GP , Westlye LT , Selbaek G , Giegling I , Hampel H , Hiltunen M , Levey AI , Andreassen OA , Rujescu D , Jonsson PV , Bjornsson S , Snaedal J , Stefansson K ((2015) ) Loss-of-function variants in ABCA7 confer risk of Alzheimer’s disease. Nat Genet 47: , 445–447. |
[127] | Allen M , Lincoln SJ , Corda M , Watzlawik JO , Carrasquillo MM , Reddy JS , Burgess JD , Nguyen T , Malphrus K , Petersen RC , Graff-Radford NR , Dickson DW , Ertekin-Taner N ((2017) ) ABCA7 loss-of-function variants, expression, and neurologic disease risk. Neurol Genet 3: , e126. |
