Abstract

Introduction

A growing number of individuals suffer from aging-associated neurological and cognitive dysfunctions that are characterized by progressive neurodegeneration and dementia. The global prevalence of dementia is currently estimated to be as high as 30–40 million, and is predicted to quadruple by the year 2050 (Reitz et al., 2011; Hurd et al., 2013; Reitz and Mayeux, 2014). The most common form of aging-associated dementia is late-onset or sporadic Alzheimer's disease (AD) (Hampel et al., 2011; Reitz et al., 2011), a neurodegenerative disorder affecting multiple cognitive and behavioral functions. AD patients typically show progressive cognitive decline along with the concomitant appearance of several neuropathological hallmarks, including amyloid plaque deposition, neurofibrillary tangle formation, vascular malfunction, and synaptic loss (Ferrer, 2012). Several other pathological processes have been identified in the early stages of the disease, which in turn may play a major etiopathological role in sporadic AD. These include increased oxidative stress, neuroinflammation, and impairments in brain glucose uptake and metabolism (Eikelenboom et al., 2010; Bassil et al., 2014; Chen and Zhong, 2014; Morales et al., 2014). Hence, sporadic AD likely represents a multifactorial disease caused by a multitude of synergistically interacting pathological changes, resulting in severe cognitive impairments and extensive brain tissue atrophy (McDonald, 2002).

In parallel to the global increase in neurodegenerative disorders, there is a rising prevalence of metabolic diseases, most notably obesity and type-2 diabetes mellitus (T2DM) (Ginter and Simko, 2012a,b). Obesity is typically referred to as a medical condition, in which excess body fat has accumulated to the extent that the body mass index (BMI) exceeds 30 kg/m² (Chiang et al., 2011). It is thought to be one of the primary causes of T2DM (Chiang et al., 2011; Ginter and Simko, 2012a,b). Depending on its clinical course and disease stage, T2DM involves altered glycemic regulation and hyperglycemia, resistance to insulin actions, inadequate insulin secretion from pancreatic β-cells, as well as progressive loss of pancreatic β-cells which is paralleled by deposition of islet amyloid polypeptide, or amylin, as pancreatic amyloid (Kahn et al., 2014).

Besides their negative effects on body homeostasis, peripheral metabolic diseases also appear to play an important role in aging-associated cognitive impairments and neurodegenerative disorders such as AD (de la Monte and Tong, 2014; Ríos et al., 2014). Epidemiological studies have repeatedly shown a significant association between (midlife) obesity and late-onset dementias (Yaffe, 2007; Arnoldussen et al., 2014; Kiliaan et al., 2014; Emmerzaal et al., 2015). Likewise, patients with T2DM are 2- to 5-times more likely to develop AD compared to non-diabetic individuals (Ott et al., 1996; Li and Hölscher, 2007; Butterfield et al., 2014; Desai et al., 2014). Additional support for these epidemiological associations can be derived from investigations in animal models showing that diet-induced obesity and T2DM impair behavioral and cognitive functions relevant to human dementia (Greenwood and Winocur, 2005; Winocur and Greenwood, 2005; Morris and Tangney, 2014) and exacerbate neuropathological and cognitive deficits in genetic mouse models of AD (Leboucher et al., 2013; Vandal et al., 2014). Based on these findings, it has been proposed that AD and related neurodegenerative disorders may represent a form of “type-3 diabetes.” According to this hypothesis, impaired brain insulin and insulin-like growth factor (IGF) signaling, or “brain insulin resistance,” may trigger and promote neurodegenerative processes via multiple interrelated pathological mechanisms, including attenuation of brain glucose uptake and subsequent emergence of central hypometabolism, mitochondrial dysfunction and oxidative stress, cerebro-vascular disruption, as well as imbalances in neuroinflammatory reactions (reviewed in de la Monte and Wands, 2008; de la Monte, 2012; Bassil et al., 2014; Sebastião et al., 2014). At the same time, some of the AD-associated neuropathologies themselves, especially extracellular amyloid plaques, may promote brain insulin resistance (de la Monte, 2012). Hence, there could be a positive feedback loop between brain insulin resistance and amyloid plaque formation, which together may facilitate progressive neurodegeneration and cognitive decline (de la Monte, 2012). This hypothesis is also supported by recent preclinical investigations and clinical trials demonstrating beneficial effects of compounds with anti-diabetic properties on attenuating or normalizing cognitive impairments and AD-related neuropathologies (for review, see Bassil et al., 2014; Sebastião et al., 2014).

In the present article, we discuss the potential role of the pancreatic peptide amylin, also called islet amyloid polypeptide (IAPP), as a link between metabolic and neurodegenerative disorders in general, and between T2DM and AD in particular. Amylin is best known for its role as a satiation hormone in the control of food intake (Lutz, 2005, 2009, 2010) and as the major component of amyloid deposits in pancreatic islets of patients with T2DM and of cats (Lutz and Rand, 1993; Westermark et al., 2000; Osto et al., 2013). Because of its propensity to form amyloid deposits in susceptible species like primates and cats, amylin shares several pathological features with β-amyloids (Aβ), a family of amyloidogenic peptides most frequently implicated in the neuropathology of AD (Karran et al., 2011; Seeman and Seeman, 2011). Here, we discuss these similarities following a concise introduction in amylin's main physiological roles. Particular emphasis is then placed on the potential mechanisms of amylin and Aβ amyloidogenesis, and on the recent findings directly implicating amylin amyloids in the neuropathology of AD.

Physiological roles and actions of amylin

Central mechanisms underlying the actions of amylin

Amylin receptor autoradiography studies demonstrate that several brain areas have high affinity binding sites for amylin (Sexton et al., 1994). Amylin binding is particularly strong in the circumventricular organs such as the subfornical organ (SFO) and AP. A large number of studies indicate that the AP plays an important role in mediating the physiological effects of peripheral amylin. Amylin appears to activate AP neurons by direct humoral actions, whilst vagal or non-vagal afferents do not seem to be required in these processes (Edwards et al., 1998; Lutz et al., 1995a, 1998a,b; Wickbom et al., 2008; Mack et al., 2010; Braegger et al., 2014). Local amylin administration into the AP recapitulates the effects of peripheral amylin, and AP-directed infusion of the amylin antagonist AC187 exerts the opposite effects. Furthermore, local administration of AC187 into the AP has been shown to abolish the eating inhibitory effect of peripheral amylin (Mollet et al., 2004), suggesting that central actions in the AP are necessary for mediating the anorectic effects of peripheral amylin.

Amylin-induced activation of AP neurons readily induces a number of neuronal downstream effects, including stimulation of dopamine-beta-hydroxylase (DBH) and subsequent increase in noradrenaline synthesis and release in noradrenergic output areas (Potes et al., 2010). In addition to its effects on noradrenergic neurons, amylin may further target other neurotransmitter systems in the AP, including presynaptic glutamatergic terminals innervating AP neurons (Fukuda et al., 2013). The functional contribution of these glutamatergic terminals, however, remains unknown with regards to amylin's effects on food intake, metabolism, and other physiological processes.

Stimulation of AP neurons by peripheral amylin likely leads to the activation of a neuroaxis that projects rostrally to the forebrain and includes the nucleus tractus solitarii (NTS), lateral parabrachial nuclus (LPB), and central amygdala (CeA) (Rowland et al., 1997; Riediger et al., 2004). In addition to its stimulating effects on these brain regions, which most likely follows primary AP activation (Riediger et al., 2004), amylin further seems to activate key areas of the mesolimbic dopamine system, including the ventral tegmental areas (VTA) and nucleus accumbens (NAc). These two regions display high affinity amylin binding sites and seem to contain virtually all components of the amylin receptor complex (Mietlicki-Baase et al., 2013; Mietlicki-Baase and Hayes, 2014). The mesolimbic dopamine system has long been recognized to play a crucial role in reward processing including eating associated rewards (Berridge and Robinson, 1998; Volkow et al., 2013). With respect to the latter, it has been suggested that pathological conditions of overeating may represent a compensation for decreased activity of the mesolimbic and nigrostriatal dopamine circuits (Wang et al., 2001). This hypothesis is consistent with the notion that the rewarding properties of food can stimulate feeding behavior even when energy requirements have been met, thereby contributing to excessive weight gain and obesity (Kenny, 2011).

In this context, it is interesting that direct local administration of the amylin receptor and calcitonin receptor agonist salmon calcitonin into the VTA of rats has been found to reduce the intake of standard rodent chow diet and of palatable sucrose. These anorectic effects appeared to result from reductions in meal size, suggesting that activation of VTA neurons by salmon calcitonin may modulate the reward value of food, thereby reducing the size of a meal. On the contrary, administration of the amylin antagonist AC187 into the VTA increased eating, and intra-accumbens injection of AC187 attenuated the anorectic effects of peripheral treatment with salmon calcitonin (Mietlicki-Baase et al., 2013); local knockdown of the calcitonin receptor (CTR)—the core component of functional amylin receptors (Bailey et al., 2012)—in the VTA also resulted in hyperphagia (Mietlicki-Baase et al., 2015). Further, salmon calcitonin administered to the VTA resulted in reduced phasic dopamine release into the NAc core, and blockade of dopamine D1 and D2 receptors in the NAc core blunted salmon calcitonin's eating inhibitory effect (Mietlicki-Baase et al., 2015). Finally, the NAc shell may also be directly responsive to amylin receptor stimulation because low doses of amylin given into the NAc shell reduced eating in rats; amylin also inhibited the eating response induced by opioid receptor activation indicating that amylin signaling may negatively modulate opioid reward driven eating (Baisley and Baldo, 2014).

Together, these findings indicate that peripheral amylin may, in addition to its actions on the AP and interconnected areas, exert a direct influence on VTA or NAc neurons and induce physiologically relevant effects on satiation and food reward. It will be important to test in future studies whether the observed effects via the VTA or NAc do depend on a primary action of amylin in these areas or perhaps still in the AP. It has been shown that the rat amylin-1 receptor (Bailey et al., 2012) is activated equally by amylin but also the neurotransmitter calcitonin gene-related peptide (CGRP), and, importantly, that the effects of both peptides at the amylin-1 receptor are blocked by AC187. Hence, it is possible that primary activation of AP neurons may trigger CGRP release in various brain areas, including the VTA or the NAc, to explain the observations discussed above.

Amylin amyloid formation

The aforementioned physiological effects of amylin all require solubility of the monomeric hormone so that it can effectively reach the target organs and cells upon release by pancreatic β-cells. Under certain pathological conditions such as T2DM, however, amylin can self-aggregate and eventually form insoluble amylin amyloid plaques. As described in detail in the subsequent sections, this effect is only relevant in few species, including humans, other primates and cats when amylin amyloid loses its common physiological actions, but instead, induces toxic effects on both peripheral and central organs and cells.

Amylin amyloids: a comparison with the formation and pathological consequences of Aβ amyloids

The propensity of amylin to form pancreatic amyloids and their cytotoxic consequences are remarkably similar to β-amyloids (Aβ), which are prone to self-aggregate in the CNS following enzymatic processing of the amyloid precursor protein (APP). The type-I transmembrane glycoprotein APP is one of the most abundant proteins in the human CNS and is ubiquitously expressed in the plasma membrane and in several organelles, such as the ER, Golgi apparatus, and mitochondria (van der Kant and Goldstein, 2015).

In general, APP can be processed by two distinct and mutually exclusive pathways, namely the secretory pathway and the amyloidogenic pathway (Karran et al., 2011). Whilst the former leads to soluble fragments, the latter creates proteolytic products that are prone to self-aggregation. In the secretory pathway, APP is first cleaved by α-secretase, which results in the release of a soluble N-terminal fragment (sAPPα) and a C-terminal fragment (C83). The C-terminal fragment is then further processed by another cleaving enzyme (γ-secretase) to generate a smaller and soluble C-terminal fragment of approximately 3 kDa (C3). Notably, the cleavage of APP by α-secretase occurs within the sequence of amino acids that would form the Aβ peptide, and therefore, this proteolytic pathway is crucial and readily prevents the formation of self-aggregating amyloid peptides (Karran et al., 2011). In the amyloidogenic pathway, however, APP is cleaved by β-secretase, which releases a small N-terminal fragment (sAPPβ) and a long C-terminal fragment (C99). The latter contains the full amyloidogenic sequence of amino acids and is further processed by γ-secretase to yield amyloid-β (Aβ) peptides. These are then released as monomers and eventually aggregate progressively into oligomers and finally into amyloid plaques.

Aβ oligomers are considered the most neurotoxic forms of all amyloid species. As extensively reviewed elsewhere (Hardy and Selkoe, 2002; Karran et al., 2011; van der Kant and Goldstein, 2015), they interact with neuronal and glial cells to cause mitochondrial dysfunction and oxidative stress, impairments of intracellular signaling pathways and synaptic plasticity, and eventually neuronal apoptosis. It is believed that these mechanisms can give rise to a positive feedback loop that facilitates the production of Aβ peptides through stimulation of the amyloidogenic pathway (Hardy and Selkoe, 2002; Karran et al., 2011; van der Kant and Goldstein, 2015). Hence, the amyloidogenic pathway seems to be more active under pathological conditions, whereas APP is preferentially processed via the secretory pathway under physiological conditions.

The maintenance of physiological conditions is further dependent on the equilibrium between the production of (soluble) Aβ peptides and their clearance from the brain (Ueno et al., 2014; Baranello et al., 2015). Even though the precise mechanisms by which Aβ peptides are cleared from the CNS remain to be identified, two proteins seem to be pivotal for this process, namely apolipoprotein E (APOE) and the insulin-degrading enzyme (IDE) (Baranello et al., 2015). It has been proposed that these proteins may bind to the Aβ peptide, thereby preventing aggregation and promoting clearance from the brain. Some of the known genetic risk factors of AD, including polymorphisms in the ε 4 allele of APOE, may predisposes individuals to impaired clearance of Aβ peptides from the CNS, and thus facilitate the formation of Aβ plaques (Baranello et al., 2015). Aβ clearance can also be disrupted by several metabolic disturbances in general, and by those associated with T2DM in particular. Indeed, T2DM has been linked to IDE deficiency, which in turn can facilitate the aggregation of amyloidogenic proteins (Steneberg et al., 2013), including Aβ (Farris et al., 2003) and amylin-derived amyloid (Bennett et al., 2003).

These associations have several important implications. First, the effects of IDE hypofunction on Aβ plaque formation may represent a crucial pathological link between metabolic disorders such as T2DM and increased risk of AD. Second, IDE deficiency may not only be a driving force for amylin oligomerization and cytotoxicity in pancreatic islet cells, but it may further facilitate the formation of amylin amyloid in the CNS. In support of the latter hypothesis and in contrast to the original belief that amylin-derived amyloid occurs exclusively in pancreatic islets, amylin oligomers and plaques were recently identified in the temporal lobe gray matter from patients with T2DM (Jackson et al., 2013). Moreover, similar amylin deposits were also detected in brain parenchyma of patients with late onset AD, and these amylin amyloids co-localized with Aβ oligomers and plaques (Jackson et al., 2013). These observations suggested for the first time that metabolic disorders such as T2DM and perhaps also aging might similarly promote the accumulation of amylin amyloid in the CNS. Based on these findings, it has been hypothesized that amylin could constitute a “second amyloid” in AD (Jackson et al., 2013).

More recent studies indicated that amylin and Aβ co-localize in plaques of AD brains, and that amyloid deposits consisting of both amylin and Aβ are also present in blood vessel walls (Oskarsson et al., 2015). While it is not yet clear whether the amylin that forms deposits in the brain is produced locally or is rather secreted by the pancreas, it is of note that intravenous injection of preformed amylin fibrils did enhance local amyloid deposition in the pancreas, hence a systemic origin is plausible (Oskarsson et al., 2015; see also next section).

How is altered amylin secretion linked to central amyloid formation?

Despite the existing evidence for amylin oligomerization in the brains of T2DM and AD patients (Jackson et al., 2013), it remains controversial whether this neuropathological effect can be related to, or even induced by, alterations in peripheral amylin homeostasis. Some researchers suggest that the primary mechanism leading to amylin deposition in the brains of patients with T2DM and AD may be hyperamylinemia, i.e., a pathological condition of chronic hypersecretion of amylin by pancreatic β-cells (Srodulski et al., 2014). Hyperamylinemia is frequently observed in individuals with obesity or pre-diabetic insulin resistance (Johnson et al., 1989; Enoki et al., 1992) and often coincides with hyperinsulinemia (Westermark et al., 2011). Furthermore, genetically enforced overexpression of amylin in rodents transgenic for the human form of amylin leads to amylin oligomerization and amyloid formation in pancreatic β-cells, β-cell apoptosis, and eventual development of T2DM (Matveyenko and Butler, 2006; Huang et al., 2007). Another cornerstone of the “hyperamylinemia hypothesis” of central amylin deposition is that peripherally produced amylin readily crosses the blood-brain barrier (Banks and Kastin, 1998). Hence, increased peripheral secretion and central uptake of amylin may facilitate amylin oligomerization and eventually amyloid formation in the brain, thereby disrupting the integrity of CNS structures and functions. Support for this hypothesis has recently been obtained in a “humanized” rat model of hyperamylinemia (Srodulski et al., 2014): Rats with pancreatic overexpression of human amylin showed marked amylin amyloid formation, an effect that was paralleled by neuroinflammatory processes such as clustering of activated microglia in areas of amylin infiltration. These neuropathological changes were further associated with the development of behavioral and cognitive deficits, including impaired recognition memory and motor learning (Srodulski et al., 2014). These findings suggest that hypersecretion of amyloidogenic forms of amylin might indeed represent a pathological link between amylin amyloid formation and the development of neurological deficits.

The “hyperamylinemia hypothesis,” however, may only hold true for central amylin deposition, but not for the accumulation and oligomerization of other amyloidogenic peptides such as Aβ. Indeed, in the Tg2576 genetic mouse model of AD, which harbors a mutant form of APP that is prone to marked Aβ plaque formation, amylin plasma levels were not significantly elevated at an age when mice exhibited clear signs of T2DM (Fawver et al., 2014). These findings argued against the hypothesis that altered systemic amylin levels might promote cross-seeding of Aβ in the CNS, despite the fact that amylin crosses the blood-brain barrier and efficiently facilitates Aβ oligomerization in vitro (Fawver et al., 2014). A limitation of these findings, and the interpretations thereof, is that transgenic Tg2576 mice only harbor mutations that facilitate Aβ plaque formation, but not amylin plaque formation. Indeed, unlike in humans, primates and cats, rodent amylin per se is not amyloidogenic (Betsholtz et al., 1989; Höppener et al., 1994; Moriarty and Raleigh, 1999; Matveyenko and Butler, 2006). Therefore, the missing association between systemic amylin and Aβ plaque formation in Tg2576 mice may be explained by the native incapacity of mouse amylin to form amylin plaques, which in turn may limit the capacity of amylin to cross-seed Aβ in the CNS. In this respect, mice clearly differ from humans.

Adding to these controversies, recent research even suggests that reduced, rather than increased, systemic levels of amylin may facilitate the development of AD-like pathology. For example, Zhu et al. (2015) revealed that the augmentation of endogenous amylin by chronic systemic administration of non-amyloidogenic amylin, or its clinical analog pramlintide, has beneficial effects against neuropathological and cognitive deficits in a mouse model of AD. Specifically, peripheral treatment with amylin or pramlintide reduced the number of Aβ plaques and improved the deficits in short- and long-term memory in PP/PS1 double transgenic mice that harbor five familial genetic mutations implicated in AD (Zhu et al., 2015). Zhu et al. (2015) further demonstrated that peripheral amylin or pramlintide treatment similarly increased the concentrations of Aβ₁₋₄₂ in cerebral spinal fluid (CSF) and serum, suggesting that the augmentation of non-amyloidogenic amylin might facilitate the clearance of Aβ peptides from the CNS. Similar beneficial effects have been found by another research group, who found that chronic administration of the amylin analog pramlintide, which lacks amyloidogenic properties, improved AD-related neuropathological and cognitive deficits in SAMP8 mice, a genetic mouse model of sporadic AD (Adler et al., 2014). Importantly, there is also initial evidence suggesting that elders with mild cognitive impairment or established AD have lower concentrations of plasma amylin compared to age-matched healthy control subjects (Adler et al., 2014; Qiu and Zhu, 2014).

Taken together, the findings by Adler et al. (2014) and Zhu et al. (2015) emphasize the possibility that blunted (rather than increased) levels of peripheral amylin may underlie the development of neurological and cognitive impairments typically seen in mild cognitive impairment or established AD. This pathological link may be explained by a competition between amylin and Aβ to bind to its receptor in the CNS. Amylin and Aβ peptide both bind to the CTR, which in the CNS is ubiquitously expressed and complexed with the receptor activity modifying protein 3 (RAMP3) (Götz et al., 2013). According to a recent hypothesis (Qiu and Zhu, 2014), increased binding of Aβ to the CTR-RAMP3 complex which corresponds to the amylin-3 receptor occurs under conditions of hypoamylinemia when amylin fails to compete with Aβ for binding to this receptor complex. This in turn may facilitate Aβ oligomerization and plaque formation in the CNS (Qiu and Zhu, 2014). When hypoamylinemic conditions are restored by exogenous administration of non-amyloidogenic amylin or its clinical analogs, non-aggregated amylin may prevent the binding of Aβ to the CTR-RAMP3, thereby reducing the potency of Aβ peptides to oligomerize (Qiu and Zhu, 2014). In addition, the augmentation of non-amyloidogenic amylin may facilitate the clearance of Aβ from the brain, probably through its effects on cerebral vasculature (Westfall and Curfman-Falvey, 1995; Edvinsson et al., 2001; Qiu and Zhu, 2014).

Whatever precise mechanisms involved, it appears that hypo- and hyper-amylinemic conditions can both be associated with and promote the pathological effects of amyloid formation in the CNS. Further investigations are clearly warranted to explore how alterations in peripheral amylin secretion are linked to central amyloid formation. In the course of these attempts, it is of primordial importance to take into account the exact experimental conditions and in particular the clear species differences regarding the innate propensity of amylin to from plaques. Hence, it is absolutely critical to distinguish between amyloidogenic and non-amyloidogenic forms of amylin; the former is the case for human, other primates' and feline amylin, the latter for rodents (Betsholtz et al., 1989; Höppener et al., 1994; Moriarty and Raleigh, 1999; Matveyenko and Butler, 2006).

Another important factor that needs careful consideration is the clinical course of metabolic disturbances across aging, which in turn may critically determine the nature of peripheral amylin pathologies. As stated above, individuals with obesity or pre-diabetic insulin resistance often show signs of hyperamylinemia that precede the onset of full-blown T2DM (Johnson et al., 1989; Enoki et al., 1992; Westermark et al., 2011). Chronic over-production of amylin during these early stages of T2DM are readily toxic to pancreatic β-cells and eventually lead to β-cell loss (Höppener and Lips, 2006; Jurgens et al., 2011; Desai et al., 2014). As a consequence of the latter, the production and secretion of amylin may be severely impaired, thus leading to states of hypoamylinemia during late stages of T2DM (Qiu et al., 2014). Hence, both hyper- and hypo-amylinemia likely play a role in metabolic diseases such as T2DM depending on the clinical course and duration of the disease (Zhang et al., 2014).

The consideration of these temporal changes in amylin production may be important for attempts to explain why both hypo- and hyper-amylinemic conditions have been associated with increased amyloid formation in the CNS. On speculative ground, hyperamylinemic conditions may be more relevant for early processes of amyloid formation in the CNS, whereas hypoamylinemic conditions may be more strongly associated with late stages of central amyloid pathologies (Figure ​(Figure1).1). The former conditions could indeed offer an explanation why amylin deposits can be present in brain parenchyma of AD patients who do not suffer from full-blown T2DM (Jackson et al., 2013), whereas the latter condition could explain why augmentation of non-amyloidogenic amylin can exert beneficial effects on amyloid clearance from the CNS once marked amyloids had already been established (Adler et al., 2014; Zhu et al., 2015).

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Figure 1

Model for the temporal association between abnormal amylin production and peripheral and central pathologies relevant to neurodegenerative disorders. The graphical illustration shows the putative relationship between age (x-axis) and peripheral amylin levels (y-axis) under normal conditions (blue) and conditions of type 2 diabetes mellitus (T2DM; red). The early phase of T2DM is typically associated with increased peripheral amylin (and insulin, not shown) secretion. Chronic over-production of amylin during the early stages of T2DM may facilitate amylin amyloid formation in pancreatic islet cells and eventually promote islet cell loss. As a consequence of the latter, the production and secretion of amylin (and insulin, not shown) may be severely impaired, thus leading to states of hypoamylinemia during late stages of T2DM. The initial hyperamylinemic condition occurring during the early phase of T2DM may further lead to amylin amyloid formation in the brain, which in turn may facilitate central Aβ amyloid formation and associated neurodegenerative processes during the late phase of T2DM.

Concluding remarks

Epidemiological studies have established a clear association between metabolic and neurodegenerative disorders in general (Kleinridders et al., 2015), and between T2DM and AD in particular (Ott et al., 1996; Li and Hölscher, 2007; Butterfield et al., 2014; Desai et al., 2014). Amylin seems to be an important player at the interface between these metabolic and neurodegenerative disorders for several reasons. First, abnormal amylin production is a hallmark peripheral pathology both in the early (pre-diabetic) and late phases of T2DM, where hyperamylinemic (early phase) and hypoamylinemic (late phase) conditions coincide with hyper- and hypo-insulinemia, respectively (Figure ​(Figure1).1). Second, there are notable biochemical similarities between amylin and Aβ, which (in some but not all species) are prone to self-aggregation and amyloid formation. The propensity of amylin to form amyloid plaques is not restricted to the peripheral organs such as pancreatic islet cells, but readily extends to the CNS, where is has been found to co-localize with Aβ plaques in at least a subset of AD patients. Hence, amylin may constitute a “second amyloid” relevant for the etiopathogenesis of AD and related neurodegenerative disorders (Jackson et al., 2013). In T2DM, the precise relationship between altered peripheral amylin production and central amylin amyloid formation appears complex and may be critically dependent on the temporal course of progressive pancreatic β-cell dysfunctions: Hyperamylinemic conditions may be more relevant for the early processes of amyloid formation in the CNS, whereas hypoamylinemic conditions may be more strongly associated with late stages of central amyloid pathologies. Normalization of hyperamylinemia during the early phase of T2DM may attenuate of even prevent subsequent amylin amyloid formation in the CNS, thereby exerting beneficial effects on progressive neurodegenerative disorders such as AD. On the other hand, augmentation of non-amyloidogenic amylin during late phases of T2DM, which are characterized by hypoamylinemic conditions, may offer a therapeutic strategy to facilitate amyloid clearance from the CNS and to block ongoing neurodegenerative processes once marked amyloids are established. More in-depth knowledge about these temporal relationships seems highly desirable as it may optimize the efficacy of amylin-based interventions in the treatment of AD and related neurodegenerative disorders with metabolic comorbidities.

Acknowledgments

References