Jacques Fantini1, Nouara Yahi. 1. Laboratoire des Interactions Moléculaires et Systèmes Membranaires, Marseille, France. jacques.fantini@univ-cezanne.fr
Abstract
Alzheimer, Parkinson and other neurodegenerative diseases involve a series of brain proteins, referred to as 'amyloidogenic proteins', with exceptional conformational plasticity and a high propensity for self-aggregation. Although the mechanisms by which amyloidogenic proteins kill neural cells are not fully understood, a common feature is the concentration of unstructured amyloidogenic monomers on bidimensional membrane lattices. Membrane-bound monomers undergo a series of lipid-dependent conformational changes, leading to the formation of oligomers of varying toxicity rich in beta-sheet structures (annular pores, amyloid fibrils) or in alpha-helix structures (transmembrane channels). Condensed membrane nano- or microdomains formed by sphingolipids and cholesterol are privileged sites for the binding and oligomerisation of amyloidogenic proteins. By controlling the balance between unstructured monomers and alpha or beta conformers (the chaperone effect), sphingolipids can either inhibit or stimulate the oligomerisation of amyloidogenic proteins. Cholesterol has a dual role: regulation of protein-sphingolipid interactions through a fine tuning of sphingolipid conformation (indirect effect), and facilitation of pore (or channel) formation through direct binding to amyloidogenic proteins. Deciphering this complex network of molecular interactions in the context of age- and disease-related evolution of brain lipid expression will help understanding of how amyloidogenic proteins induce neural toxicity and will stimulate the development of innovative therapies for neurodegenerative diseases.
Alzheimer, Parkinson and other neurodegenerative diseases involve a series of brain proteins, referred to as 'amyloidogenic proteins', with exceptional conformational plasticity and a high propensity for self-aggregation. Although the mechanisms by which amyloidogenic proteins kill neural cells are not fully understood, a common feature is the concentration of unstructured amyloidogenic monomers on bidimensional membrane lattices. Membrane-bound monomers undergo a series of lipid-dependent conformational changes, leading to the formation of oligomers of varying toxicity rich in beta-sheet structures (annular pores, amyloid fibrils) or in alpha-helix structures (transmembrane channels). Condensed membrane nano- or microdomains formed by sphingolipids and cholesterol are privileged sites for the binding and oligomerisation of amyloidogenic proteins. By controlling the balance between unstructured monomers and alpha or beta conformers (the chaperone effect), sphingolipids can either inhibit or stimulate the oligomerisation of amyloidogenic proteins. Cholesterol has a dual role: regulation of protein-sphingolipid interactions through a fine tuning of sphingolipid conformation (indirect effect), and facilitation of pore (or channel) formation through direct binding to amyloidogenic proteins. Deciphering this complex network of molecular interactions in the context of age- and disease-related evolution of brain lipid expression will help understanding of how amyloidogenic proteins induce neural toxicity and will stimulate the development of innovative therapies for neurodegenerative diseases.
The discovery that a significant proportion of cellular proteins do not have a well-defined
structure under physiological conditions is one of the most fascinating concepts in modern
biology (Ref. 1). This iconoclastic finding has
shaken the broadly accepted dogma that a protein is predisposed to fold into a unique
structure that is specified by its amino acid sequence.Proteins that lack a well-defined 3D structure have been referred to as
‘intrinsically disordered proteins’ (IDPs), and they constitute the part
of the proteome called the ‘unfoldome’ (Ref. 2). IDPs perform a wide range of regulatory functions related to signal
transduction, molecular recognition and molecular assembly (Ref. 3), and several have been implicated in fatal human pathologies (Ref.
4). One representative member of IDPs is
α-synuclein (encoded by SNCA), a brain protein associated with
Parkinson disease. Depending on its environment, α-synuclein can adopt a variety of
structurally unrelated conformations (Fig. 1), from
a natively unfolded (mostly disordered) state to different α-helical or
β-structural species folded to a different degree (Ref. 5). The protein can also self-aggregate and form various types of
supramolecular assemblies with different morphology, including oligomers, amorphous
aggregates and amyloid-like fibrils (Ref. 5). This
incredible level of conformational plasticity is also a hallmark of other amyloidogenic
proteins, such as amyloid β (Aβ; encoded by APP) involved
in Alzheimer disease and the prion protein (PrP; encoded by PRNP) involved
in Creutzfeldt–Jakob disease and prion infections (Ref. 6). Some amyloidogenic proteins (Alzheimer Aβ peptides,
α-synuclein) belong to the IDP family; in other cases (e.g. PrP), the protein has a
3D structure but can misfold into an alternative structure that is prone to aggregation.
There are several mechanisms by which an amyloidogenic protein can acquire a disease-related
3D structure: overexpression, mutations or other genetic alterations, and exposure to
harmful environmental conditions (Ref. 2). These
mechanisms have been extensively studied during the past two decades. However, how
amyloidogenic proteins induce cell death in these neurodegenerative diseases is still a
mystery. Given the high prevalence and the fatal outcome of these pathologies in humans,
this is clearly one of the most important challenges of biomedical research for the 21st
century.
Figure 1
Different pathways of amyloidogenic protein oligomerisation and fibrillation on
membrane surfaces. Upon interaction with neuronal membranes, unstructured
soluble monomers of amyloidogenic proteins undergo an α-helix shift of their
conformation (a). Further accumulation of the proteins on the surface of the membrane
induces oligomerisation into β-sheet aggregates (b) or α-oligomers
(c). Oligomers with a β-sheet structure can form protofibrils (d), amyloid
fibrils (e) and amyloid pores (annular protofibrils) with ion-channel properties (f).
In some instances (e.g. for α-synuclein), transmembrane channels can also be
generated by oligomers with an α-helix structure (g). In all cases, the
formation of functional ion channels requires the insertion and assembly of the
oligomers in the neuronal membrane (green lipid bilayer). Note the possibility of
conversion between α- and β-oligomers (h).
Different pathways of amyloidogenic protein oligomerisation and fibrillation on
membrane surfaces. Upon interaction with neuronal membranes, unstructured
soluble monomers of amyloidogenic proteins undergo an α-helix shift of their
conformation (a). Further accumulation of the proteins on the surface of the membrane
induces oligomerisation into β-sheet aggregates (b) or α-oligomers
(c). Oligomers with a β-sheet structure can form protofibrils (d), amyloid
fibrils (e) and amyloid pores (annular protofibrils) with ion-channel properties (f).
In some instances (e.g. for α-synuclein), transmembrane channels can also be
generated by oligomers with an α-helix structure (g). In all cases, the
formation of functional ion channels requires the insertion and assembly of the
oligomers in the neuronal membrane (green lipid bilayer). Note the possibility of
conversion between α- and β-oligomers (h).Among the different research strategies in this field, those aiming at identifying common
features in distinct amyloidogenic proteins have been particularly fruitful. Obviously, it
is somewhat paradoxical that the similar behaviour of amyloidogenic proteins –
that is, their conformational plasticity and aggregation properties – does not
rely on any kind of homology in their amino acid sequence. Instead, these common features
might involve the 3D structures of these proteins. A major breakthrough was the
identification of a common epitope in oligomers formed by various amyloidogenic proteins
(Ref. 7). This discovery suggested a universal mode
of oligomerisation underlying a common mechanism of toxicity. Moreover,
conformation-dependent antibodies that recognise generic epitopes have been used as a
structural basis to distinguish amyloid prefibrillar and fibrillar oligomers (Ref. 8). A second breakthrough was the demonstration that
amyloidogenic proteins can assemble into annular structures forming amyloid pores with ion
channel properties (Refs 9, 10) (Fig. 1). This finding
suggested that amyloid oligomers could perturb membrane permeability (e.g. cellular calcium
fluxes) and thus kill neuronal cells more efficiently than amyloid fibrils. This mechanism,
originally proposed by Arispe et al. (Refs 11,
12) for explaining the toxicity of Aβ,
is now commonly referred to as the β-amyloid calcium channel hypothesis (Ref. 13). However, despite their fruitful contribution to
the field, these important discoveries did not really inform us on the molecular mechanisms
involved in the different modes of amyloid oligomerisation and aggregation. To progress
towards this knowledge, we have to consider another common feature tightly linked to the
biology of amyloids in the brain, which lies in their immediate environment – that
is, biological membranes (Refs 13, 14). Indeed, Aβ peptides are generated by the
proteolytic cleavage of a transmembrane precursor (the amyloid protein precursor, APP) (Ref.
15), PrP is a membrane protein anchored in the
external leaflet of the plasma membrane by a glycosylphosphatidylinositol anchor (Ref. 16), and α-synuclein is involved in the
traffic of synaptic vesicles (Ref. 17).Amyloidogenic proteins reside in a lipid world constituted by a myriad of lipid-based
structures such as internal membrane networks, plasma membrane nano- and microdomains,
lipoproteins and exosomes. This is not totally surprising if one considers that lipids are
the most abundant organic compounds found in the brain, accounting for up to 50% of its dry
weight (Ref. 18). As in other mammalian tissues,
brain lipids consist of three major categories in roughly equimolar proportions (Ref. 19): glycerophospholipids, sphingolipids and
cholesterol. Sphingolipids and cholesterol self-aggregate into specific membrane domains
referred to as nanodomains, microdomains, caveolae, lipid shells or lipid rafts (Refs 20, 21). These
sphingolipid–cholesterol-enriched domains (the so-called lipid rafts) are in a
liquid-ordered (Lo) phase floating in the more liquid glycerophospholipid-rich and
cholesterol-poor bulk (Ld phase) of the plasma membrane. Lipid rafts are chiefly involved in
cellular trafficking and signalling functions (Ref. 22) and are also preferential sites for host interactions with pathogens and toxins
(Ref. 23).The aim of this review is to emphasise the specific role of cholesterol and sphingolipids,
alone and in combination, in the interaction between amyloidogenic proteins and neural
membranes, and to figure out how these interactions can affect the structural and functional
properties of these proteins. We also discuss the impact of age- and disease-related changes
in brain lipid content on the pathophysiology of amyloid-associated neurodegenerative
diseases. We do not intend to present a separate section for each amyloidogenic protein
(Aβ, α-synuclein, PrP, etc.). Instead, it is our goal to identify common
membrane-based mechanisms that, at least at the molecular level, might apply to any type of
amyloidogenic protein and thus could serve as a solid biochemical background for studying
amyloid toxicity in the brain.
Mechanisms of concentration of amyloidogenic proteins on neuronal membranes
Reduction of dimensionality
There are two main mechanisms ensuring the efficient transfer of amyloidogenic proteins
from the cytosolic or extracellular milieu to neuronal plasma membranes. The first one is
the reduction of dimensionality (from 3D to 2D) that occurs when a soluble protein
dissolved in the bulk solvent binds to a membrane surface (Ref. 24). The underlying idea is that the membrane 2D space can
concentrate proteins far more efficiently than the 3D space of the bulk solvent. As a
consequence, the average distance between two proteins is shorter in 2D than in 3D, and
this effect is more pronounced for higher protein concentrations (Ref. 25). This means that increased concentration of a
protein lowers the average protein–protein distance more efficiently on a 2D
surface than in a 3D space. Consequently, protein–protein interactions are
favoured in the 2D space. This phenomenon is particularly important for amyloidogenic
proteins that tend to self-aggregate after a conformational transition (Fig. 2). Thus, the simple fact of the concentration of
monomers in a restricted membrane area is, by itself, a crucial step in the complex
process of amyloid oligomerisation/aggregation.
Figure 2
Neuronal membranes as concentration platforms and chaperones for
amyloidogenic monomers: key role of sphingolipid–cholesterol
domains. (a) Amyloidogenic monomers have a low affinity for the
liquid-disordered (Ld) phase of plasma membranes enriched in phosphatidylcholine.
(b) By contrast, the monomers have a high affinity for
sphingolipid–cholesterol domains in the liquid-ordered (Lo) phase. In this
case, monomers are not only concentrated on the membrane surface, but also undergo a
major conformational change induced by the sphingolipids. This property is referred
to as the chaperone effect of sphingolipids on amyloidogenic proteins.
Neuronal membranes as concentration platforms and chaperones for
amyloidogenic monomers: key role of sphingolipid–cholesterol
domains. (a) Amyloidogenic monomers have a low affinity for the
liquid-disordered (Ld) phase of plasma membranes enriched in phosphatidylcholine.
(b) By contrast, the monomers have a high affinity for
sphingolipid–cholesterol domains in the liquid-ordered (Lo) phase. In this
case, monomers are not only concentrated on the membrane surface, but also undergo a
major conformational change induced by the sphingolipids. This property is referred
to as the chaperone effect of sphingolipids on amyloidogenic proteins.
Specific binding to membrane lipids
The second mechanism explaining the affinity of amyloidogenic proteins for neuronal
membranes is lipid specificity. Converging data obtained from various laboratories with a
broad range of experimental approaches have shown that amyloidogenic proteins interact
with the lipids found in the Lo phase – that is, sphingolipids and cholesterol
(Fig. 2). Alzheimer Aβ peptides
recognise several glycosphingolipids, including neutral species such as asialo-GM1 or
galactosylceramide (GalCer) as well as gangliosides such as GM1 (Refs 26, 27,
28, 29); α-synuclein binds to gangliosidesGM1 and GM3 (Refs 30, 31); PrP
interacts with sphingomyelin, GalCer, GM1 and GM3 (Refs 27, 32, 33) and is associated with sphingolipid signalling platforms (Ref.
34). Overall, this high affinity for
sphingolipids determines the concentration of amyloid proteins in lipid raft areas of the
extracellular leaflet of the plasma membrane. Several amyloidogenic proteins can also bind
to negatively charged glycerophospholipids (Refs 35, 36), which are enriched in the
cytoplasmic leaflet of the plasma membrane (Ref. 19). This type of interaction has been extensively studied for
α-synuclein, which recognises anionic phosphatidylserine and phosphatidylglycerol
(Refs 36, 37, 38, 39). In this review, we restrict our analysis to the role of cholesterol and
sphingolipids in the interaction of amyloidogenic proteins and membranes. As we will see,
these lipids play a more active role in the conformation, oligomerisation and aggregation
of amyloidogenic proteins than just acting as a concentration platform.
Molecular mechanisms of sphingolipid–amyloidogenic-protein interactions
Structural diversity of membrane sphingolipids
That the same amyloidogenic protein could interact with several distinct sphingolipids
(Refs 26, 27, 31) could be viewed as paradoxical
and difficult to reconcile with a real specificity of interaction. A biochemical analysis
of sphingolipid structures is necessary to get a clearer view on this issue. Sphingolipids
are formed by the condensation of a fatty acid chain with a sphingoid base (which is
generally sphingosine although five different sphingoid bases have been detected in
mammalian cells). The biochemical diversity of sphingolipids is first generated by the
numerous fatty acids (more than 20, varying in chain length, degree of saturation and
degree of hydroxylation) that can be attached to the sphingoid base to form a ceramide
(Ref. 40). Sphingolipids are then classified into
sphingomyelin and glycosphingolipids, according to the biochemical nature of the polar
part attached to ceramide: phosphorylcholine for sphingomyelin, and a glycan moiety for
glycosphingolipids. Several hundred different carbohydrate structures have been described
in glycosphingolipids, with various combinations of neutral sugars, sulfated sugars and
sialic acids (Ref. 19).
Cracking the code governing glycosphingolipid–protein interactions
Despite this huge structural diversity, glycosphingolipids can share common structural
fingerprints that render them ‘readable’ by the same protein. This is
the case for the glycosphingolipidsGalCer, globotriaosylceramide (Gb3) and
GM3, which have a distinct sugar moiety but a common galactosyl residue with the same
orientation (Fig. 3a–c). As a logical
consequence of this common structural feature, a protein that recognises one of these
glycosphingolipids (e.g. GalCer), through binding to this galactose residue, might also
interact with the other two (in this case, Gb3 and GM3). This means that the
biochemical code governing glycosphingolipid–protein interactions is degenerate.
An example of this striking property is the V3 loop domain of the human immunodeficiency
virus 1 (HIV-1) surface-envelope glycoprotein gp120, which was shown to recognise first
GalCer (Refs 41, 42, 43), and then, several
years later, both Gb3 and GM3 (Refs 44, 45). However, there is a unique
molecular mechanism that accounts for the interaction of each of these glycosphingolipids
with gp120 (Ref. 46), and this mechanism also
applies for amyloidogenic proteins.
Figure 3
Glycosphingolipids and amyloidogenic proteins: a common mechanism of
interaction? Despite their high level of biochemical diversity, some
glycosphingolipids share a common galactosyl ring with an orientation compatible
with the establishment of stacking CH-π interactions between the sugar and
an aromatic residue. Such galactosyl rings are indicated in shaded circles in the
sugar moiety of ganglioside GM3 (a), globotriaosylceramide Gb3 (b) and
galactosylceramide GalCer (c). In these cases, the apolar side of the galactosyl
ring fits particularly well with the aromatic-ring side chain of an aromatic residue
(Phe, in this case) exposed at the surface of an amyloid protein (d). The electronic
cloud of the π system stacks onto the CH groups of the galactosyl ring.
This interaction is favoured by the common geometric structure of both rings, which
allows a coordinated binding process between CH groups and π electrons.
Cholesterol, which has a strong affinity for sphingolipids, can further improve the
accessibility of the galactosyl group through fine tuning of glycosphingolipid
conformation (e). This effect involves the establishment of an H-bond network
between the OH group of cholesterol, the NH group of the sphingolipid and the oxygen
atom of the glycosidic bond linking the ceramide and the sugar part of the
sphingolipid. GalCer-NFA, GalCer with a nonhydroxylated fatty acid in the ceramide
moiety.
Glycosphingolipids and amyloidogenic proteins: a common mechanism of
interaction? Despite their high level of biochemical diversity, some
glycosphingolipids share a common galactosyl ring with an orientation compatible
with the establishment of stacking CH-π interactions between the sugar and
an aromatic residue. Such galactosyl rings are indicated in shaded circles in the
sugar moiety of ganglioside GM3 (a), globotriaosylceramideGb3 (b) and
galactosylceramide GalCer (c). In these cases, the apolar side of the galactosyl
ring fits particularly well with the aromatic-ring side chain of an aromatic residue
(Phe, in this case) exposed at the surface of an amyloid protein (d). The electronic
cloud of the π system stacks onto the CH groups of the galactosyl ring.
This interaction is favoured by the common geometric structure of both rings, which
allows a coordinated binding process between CH groups and π electrons.
Cholesterol, which has a strong affinity for sphingolipids, can further improve the
accessibility of the galactosyl group through fine tuning of glycosphingolipid
conformation (e). This effect involves the establishment of an H-bond network
between the OH group of cholesterol, the NH group of the sphingolipid and the oxygen
atom of the glycosidic bond linking the ceramide and the sugar part of the
sphingolipid. GalCer-NFA, GalCer with a nonhydroxylated fatty acid in the ceramide
moiety.Let us first consider the way in which proteins bind to GalCer, which is both the major
lipid of myelin sheaths (Ref. 47) and the
simplest possible brain-expressed glycosphingolipid, consisting of a ceramide linked to a
single galactosyl group (i.e. a ceramide monohexoside). Most of the GalCer molecule is
dipped into the membrane, so that the galactosyl moiety is the principal region of the
glycolipid available for protein binding. In this respect, there is a functional
similarity between proteins that recognise GalCer and galactose-specific lectins. However,
the local concentration of galactosyl groups in a nanodomain of GalCer is extremely high
compared with the maximal concentration of free galactose in biological fluids (another
illustration of the reduction-in-dimensionality concept discussed above). This explains
why even high concentrations of free galactose cannot inhibit GalCer–gp120
interactions (Ref. 41). Moreover, the
conformation of the galactose head group in the glycolipid is restricted by the ceramide
backbone, which allows only limited motion of the sugar (Ref. 48). By contrast, galactose in water solution is free to adopt a wide
range of conformations. Finally, the most polar part of ceramide, which includes both
amide and hydroxyl (OH) groups, as well as the β-glycosidic bond linking ceramide
to galactose, can also participate in the binding reaction and further stabilise the
GalCer–protein complex. Taken together, these biochemical properties of the
galactosyl head group of GalCer explain why GalCer–protein interactions are
distinct from galactose–lectin interactions (Ref. 49).
Key role of aromatic residues in protein–glycosphingolipid interactions
At the molecular level, numerous proteins that bind to GalCer have a solvent-exposed
aromatic residue that provides a complementary surface for a stacking interaction with the
galactose ring (Fig. 3d). As a result of the
distribution of the OH groups linked to the pyranosyl ring of galactose, this sugar has
two chemically distinct faces: one apolar with hydrocarbyl (CH) groups and the other polar
with OH groups. Therefore, the apolar face of galactose is particularly suited for a
stacking interaction with an aromatic structure (Ref. 50). This type of interaction between CH groups and a π-electron cloud
system has been described and referred to as CH–π interaction by Nishio
and co-workers (Ref. 51). The
CH–π stacking mechanism is involved in the interaction between
glycosphingolipids and several amyloidogenic proteins, including PrP (Ref. 49), Aβ (Ref. 52) and amylin (Ref. 53). In
both Gb3 and GM3, the apolar side of the central galactosyl group has a similar
orientation to that in GalCer (Fig.
3a–c); thus, GalCer-binding proteins are predicted to also bind to
Gb3 and GM3 through CH–π stacking. Note that the
conformation of the sugar moiety of glycosphingolipids is restricted by a network of
H-bonds (Ref. 52) that involves either an OH
group in the acyl chain of the ceramide (intramolecular network) or the OH group of
cholesterol (intermolecular network, Fig. 3e), as
further discussed below (see the section ‘The outside and inside effects of
cholesterol’).The notion that unrelated proteins, displaying a solvent-accessible aromatic residue in a
hairpin domain, might bind these glycosphingolipids through a similar stacking mechanism
has motivated the search for V3-like domains in various proteins, including amyloidogenic
proteins (Ref. 27). This is the concept of the
glycosphingolipid-binding domain or, more generally, of the sphingolipid-binding domain
(Ref. 49). Such domains are characterised by the
presence, in a flexible region of the surface of a protein, of an aromatic residue with
its side chain oriented towards the solvent, as illustrated in Figure 4a with the superimposition of the glycosphingolipid-binding
domains of Aβ and α-synuclein (Ref. 31). The recognition of the glycosphingolipid by this region of the protein is
thought to proceed through an induced-fit mechanism involving the conformational mobility
of the aromatic side chain and a concomitant adjustment of the orientation of the
galactosyl head group (Fig. 4b).
Figure 4
A common sphingolipid-binding domain in amyloidogenic proteins. (a)
Amyloidogenic proteins share a common sphingolipid-binding domain, which can be
shown by superimposing the structure of micelle-bound Alzheimer Aβ peptide
[PDB ID: 1BA4, in red] (Ref. 150) onto the
structure of micelle-bound α-synuclein [PDB ID: 1XQ8, in blue] (Ref. 142). The motif corresponds to a
helix–turn–helix structure displaying an aromatic residue (Tyr10
for Aβ; Tyr39 for α-synuclein) oriented towards the solvent and
located at a similar position in the loop. The location of Glu residues associated
with Glu to Lys mutations in genetic forms of Alzheimer and Parkinson diseases is
indicated (Glu22 for Aβ and Glu46 for α-synuclein, respectively).
The amino acid sequence of both proteins (upper panel) show very little homology,
apart from the above-mentioned Tyr residues (asterisk) and a common Val residue
(Val52 for α-synuclein and Val24 for Aβ). (b) Due to the high
conformational plasticity of amyloidogenic proteins, the sphingolipid-binding domain
can adopt several distinct conformations, as shown for the core amyloid-forming
motif of amylin [NFGAILSS octapeptide, PDB ID: 1KUW] (Ref. 68). The α-carbon chain of the peptide is coloured in
blue, and the Phe residue in red. Twenty conformers obtained by nuclear magnetic
resonance (NMR) analysis are superposed. Once bound to the glycosphingolipid (GSL,
coloured in green), the amyloid peptide is locked in a unique conformation.
Cholesterol (Chol) is coloured in orange. This drawing is based on data in Ref.
53 obtained with lactosylceramide
(LacCer).
A common sphingolipid-binding domain in amyloidogenic proteins. (a)
Amyloidogenic proteins share a common sphingolipid-binding domain, which can be
shown by superimposing the structure of micelle-bound Alzheimer Aβ peptide
[PDB ID: 1BA4, in red] (Ref. 150) onto the
structure of micelle-bound α-synuclein [PDB ID: 1XQ8, in blue] (Ref. 142). The motif corresponds to a
helix–turn–helix structure displaying an aromatic residue (Tyr10
for Aβ; Tyr39 for α-synuclein) oriented towards the solvent and
located at a similar position in the loop. The location of Glu residues associated
with Glu to Lys mutations in genetic forms of Alzheimer and Parkinson diseases is
indicated (Glu22 for Aβ and Glu46 for α-synuclein, respectively).
The amino acid sequence of both proteins (upper panel) show very little homology,
apart from the above-mentioned Tyr residues (asterisk) and a common Val residue
(Val52 for α-synuclein and Val24 for Aβ). (b) Due to the high
conformational plasticity of amyloidogenic proteins, the sphingolipid-binding domain
can adopt several distinct conformations, as shown for the core amyloid-forming
motif of amylin [NFGAILSS octapeptide, PDB ID: 1KUW] (Ref. 68). The α-carbon chain of the peptide is coloured in
blue, and the Phe residue in red. Twenty conformers obtained by nuclear magnetic
resonance (NMR) analysis are superposed. Once bound to the glycosphingolipid (GSL,
coloured in green), the amyloid peptide is locked in a unique conformation.
Cholesterol (Chol) is coloured in orange. This drawing is based on data in Ref.
53 obtained with lactosylceramide
(LacCer).In summary, a glycosphingolipid-binding domain is a flexible domain containing
turn-inducing (Gly, Pro), basic (Arg, Lys, His) and aromatic residues (Phe, Tyr, Trp)
(Refs 27, 54, 55, 56, 57). The critical involvement of
aromatic residues in the interaction between proteins and glycosphingolipids has been
convincingly demonstrated by using synthetic peptides in which these residues were
replaced by Ala or Leu (Refs 53, 54, 55):
correspondingly, the interaction with the glycosphingolipid has been dramatically
decreased or even totally lost. Reciprocally, conservative aromatic substitutions (e.g.
Phe to Trp) did not affect binding to glycosphingolipids (Ref. 54). Taken together, these data show that the sphingolipid-binding
domain mediates specific protein–glycosphingolipid interactions driven by
CH–π stacking of a sugar and aromatic residue (Refs 52, 58).
Glycosphingolipids exert a chaperone effect on amyloidogenic proteins
Conformational changes mediated by sphingolipid-binding domains
One important consequence of protein–sphingolipid interactions is that the
conformation of the protein can be significantly affected on binding to sphingolipids
(Fig. 4b). This chaperone effect of
sphingolipids is a direct consequence of the unique modalities of
protein–sphingolipid interactions (Ref. 49). As soon as binding begins, the structure of the sphingolipid changes and the
protein gradually adapts its shape to this moving target. A stable anchoring of the
protein to the sphingolipids can be obtained by optimising protein–sphingolipid
contacts, and this requires significant conformational changes of the protein. The
flexibility of the sphingolipid-binding domain is particularly well suited to trigger
structural rearrangements in the protein (Ref. 49). This unexpected consequence of protein–sphingolipid interactions
has been extensively studied with HIV-1. Briefly, on binding to raft glycosphingolipids
through its V3 domain, HIV-1gp120 undergoes a series of conformational changes that are
required for virus fusion (Refs 19, 45). Because the sphingolipid-binding domain is
evolutionarily conserved (it has been found in virus, bacteria, insect and mammalian
proteins), it is likely that sphingolipids can modulate the conformation and regulate the
function of a wide range of proteins (Refs 52,
53, 54, 55, 56, 57).
Chaperone effect of ganglioside GM1 on Alzheimer Aβ peptides
How could this concept of a sphingolipid-mediated chaperone effect apply to
membrane-bound amyloids? Seminal work by Matsuzaki, Yanagasiwa and co-workers has shown
that lipid rafts act as surface catalysts able to accelerate the aggregation of
Aβ (Refs 29, 59, 60, 61, 62,
63). Most interestingly, GM1-bound Aβ
has been identified as a pre-amyloid form acting as an endogenous seed for the formation
of neurotoxic amyloid fibrils in Alzheimer disease (Refs 29, 61, 62, 63). These data have not
only strengthened the role of lipid rafts as preferential binding sites for unstructured
amyloidogenic proteins on neuronal membranes but have also suggested that these membrane
domains behave as conformational catalysts for amyloid formation. In other words, lipid
rafts can control the conformation of membrane-bound amyloid through a chaperone effect
(Refs 49, 59, 64). Yet, conflicting data have
suggested that binding of Aβ to GM1 induces a conformational transition from
random coil to a protective α-helical structure (Ref. 65), as also observed for α-synuclein (Ref. 30), or to a fibrillation-prone β-structure
(Refs 61, 66). The structure of amyloidogenic proteins bound to GM1 depends on several
physicochemical parameters, including pH, membrane fluidity, GM1-carrier lipid ratios,
protein concentration and the absence or presence of cholesterol, which could explain the
discrepancies reported in the literature. In any case, the available data suggest that
lipid rafts could (1) modulate the conformational changes of unstructured monomers from
the unfolded state to more-ordered α or β structures, and (2) control
the balance between α and β structures, which in turn determine the
oligomerisation/aggregation status of amyloidogenic proteins.Kakio et al. (Ref. 59) have shown that the
oligomerisation and aggregation of Aβ peptides occur in ganglioside-enriched
domains of the plasma membrane. A possible sequence of events could be as follows: (1)
soluble Aβ monomers bind to the sugar head group of gangliosides in
cholesterol–sphingolipid-enriched domains such as lipid rafts; (2) on binding to
gangliosides, Aβ is constrained to adopt an α-helical structure; (3) as
the protein density on the membrane increases, Aβ undergoes a conformational
transition from an α-helix-rich structure to a β-strand-rich one; and
(4) the ganglioside-bound Aβ complex with acquired secondary structures serves as
a seed for amyloid fibril formation. Indeed, Aβ fibrils with high toxicity have
been successfully generated in an acellular system using GM1-containing raft-like
liposomes (Ref. 67). Altogether, these data
strongly support the concept that the ganglioside cluster can act as a chaperone able to
lower the activation energy for the conformational changes of Aβ (Ref. 59). This scenario is also consistent with the
involvement of the glycosphingolipid-binding domain in membrane–amyloid
interactions (Refs 53, 64).
How glycosphingolipids could stabilise an α-helix and prevent amyloid
formation
Unstructured amyloidogenic proteins can adopt a wide range of conformations in water and
in biological membranes (Fig. 1). The
conformational flexibility of the amyloid core peptide of amylin (NFGAILSS) has been
studied by nuclear magnetic resonance (NMR) (Ref. 68). In a membrane-like micellar environment, this peptide can adopt three
distinct classes of conformations owing to the wide flexibility of the peptide chain
(Fig. 4b). Correspondingly, the unique Phe
residue of the motif has three main possible orientations (Ref. 53). On binding to a glycosphingolipid bearing an appropriately
oriented galactosyl group (lactosylceramide in Fig.
4b), the Phe residue stacks onto the sugar so that only one of the numerous peptide
conformations is selected and locked.This illustrates the potency of CH–π stacking interactions to
stabilise a thermodynamically unstable conformation at a minimal energetic cost, just like
a wedge can efficiently block a car on a sloping street (Ref. 49). This simple but efficient mechanism could allow raft
glycosphingolipids to act as molecular chaperones inducing α-helix-rich
structures in amyloidogenic proteins (Fig. 5). In
the case of PrP, the stabilisation of an α-helix structure is beneficial, because
this can prevent protein misfolding and aggregation (Ref. 49). However, the α-helix conformation could also facilitate
membrane insertion and channel/pore formation, leading to dramatic perturbations of
membrane permeability, as shown for α-synuclein (Ref. 69). In addition, the chaperone effect of glycosphingolipids is not
irreversible. Changing the physicochemical properties of the raft–protein
complex, for example through oxidative damage to the proteins or lipids (Refs 70, 71),
could theoretically induce the dissociation of the amyloid peptides from
glycosphingolipids such as GalCer. Then, the sudden exposure of aromatic side chains would
allow a tight packing (through π–π interactions) between
adjacent helices. This would lead to the formation of a dimer, a key step in the
generation of amyloid fibrils (Refs 72, 73), which is thought to proceed through an ordered
polymerisation of β structures (Ref. 74).
Figure 5
How glycosphingolipids could promote α-helix structures in
amyloidogenic proteins. When bound to glycosphingolipids (GSLs) through the
sphingolipid-binding domain, the aromatic residues of two vicinal amyloidogenic
proteins cannot interact with each other and the protein is forced to adopt an
α-helix conformation. The molecular mechanism of this interaction is the
CH–π stacking between the galactosyl ring of GalCer and the
aromatic residue of the protein. The α-helix structure of amyloidogenic
proteins is not only present in membrane-bound monomers (as illustrated in Fig. 2, right panel), but also in oligomeric
α-synuclein channels (Fig. 1g). The
β-amyloid aggregation process is triggered when the
glycosphingolipid–protein complex is destabilised, resulting in the
release of the protein from its glycosphingolipid chaperone (a). In this new
glycosphingolipid-free environment, the aromatic residues of two vicinal
amyloidogenic proteins can interact together (b), inducing a drastic conformational
change from an initial α-helix to a β-strand structure. Amyloid
aggregation then results from the π–π-driven assembly of
aromatic side chains (for a review, see Ref. 79), forming amyloid dimers that in turn associate to form amyloid fibrils
(as illustrated in Fig. 1e).
How glycosphingolipids could promote α-helix structures in
amyloidogenic proteins. When bound to glycosphingolipids (GSLs) through the
sphingolipid-binding domain, the aromatic residues of two vicinal amyloidogenic
proteins cannot interact with each other and the protein is forced to adopt an
α-helix conformation. The molecular mechanism of this interaction is the
CH–π stacking between the galactosyl ring of GalCer and the
aromatic residue of the protein. The α-helix structure of amyloidogenic
proteins is not only present in membrane-bound monomers (as illustrated in Fig. 2, right panel), but also in oligomeric
α-synuclein channels (Fig. 1g). The
β-amyloid aggregation process is triggered when the
glycosphingolipid–protein complex is destabilised, resulting in the
release of the protein from its glycosphingolipid chaperone (a). In this new
glycosphingolipid-free environment, the aromatic residues of two vicinal
amyloidogenic proteins can interact together (b), inducing a drastic conformational
change from an initial α-helix to a β-strand structure. Amyloid
aggregation then results from the π–π-driven assembly of
aromatic side chains (for a review, see Ref. 79), forming amyloid dimers that in turn associate to form amyloid fibrils
(as illustrated in Fig. 1e).From this discussion, we would like to underscore (1) the key role of aromatic residues
in the self-assembly of amyloid fibrils and (2) the chaperone effect of raft
glycosphingolipids that could induce otherwise thermodynamically unstable α-helix
structures of amyloid fibril-forming proteins. Indeed, most amyloidogenic proteins
(including Aβ and PrP) have an amino acid sequence that is expected to form
β but not α structures (Ref. 75). These proteins are referred to as
‘α-helix/β-strand discordant’. Lipid rafts can
prevent those proteins from adopting the conformation they prefer, stabilising their
structure in a ‘forced’ α conformation. This stabilisation
can occur in the early biosynthetic pathway as demonstrated for PrP (Ref. 76). Inhibition of sphingolipid biosynthesis
logically increases PrP misfolding into disease-associated β structures (Ref.
77). This mechanism seems to also apply for
several neurotransmitter receptors (e.g. the nicotinic acetylcholine receptor) whose
transport and assembly in the plasma membrane require the assistance of sphingolipids
(Ref. 78). Mutations in amyloidogenic proteins
that are associated with inherited forms of neurodegenerative diseases have been shown to
directly affect sphingolipid binding. This is the case for the
Creutzfeldt–Jakob-linked E200K mutation of PrP, which affects
PrP–sphingomyelin interactions (Ref. 27).In summary, by providing a complementary surface for amyloidogenic proteins, cellular
glycosphingolipids might constitutively stabilise their α conformation and
inhibit their aggregation, as recently demonstrated for amylin (Ref. 53). Replacing these glycosphingolipid–protein
CH–π interactions with protein–protein
π–π interactions (Refs 18, 50) would then trigger amyloid growth
and deposition (Refs 49, 79). To what extent glycosphingolipids could also stimulate
β-strand-mediated amyloid aggregation (Ref. 59) remains to be described and explained at the molecular scale. The mutual
effect of GM1 and Aβ on their respective conformations is likely to displace the
equilibrium of the reaction towards the formation of amyloid aggregates, as observed in
vitro (Ref. 80).Finally, it should be noted that noncovalent interactions distinct from
CH–π stacking might also contribute to sphingolipid–amyloid
interactions. These could include hydrophobic interactions (Ref. 81), H-bonds and electrostatic bridges (especially for sulfated
glycosphingolipids, gangliosides and sphingomyelin) (Ref. 82). Indeed, in addition to aromatic side chains (Tyr10), several
aliphatic (Ref. 81) and basic residues such as
His13 have been implicated in GM1–Aβ interactions (Ref. 83). Anionic phospholipids such as
phosphatidylserine, which bind to α-synuclein through electrostatic interactions
(Ref. 38) and stimulate the formation of amyloid
fibres (Ref. 84), could, in the cytoplasmic
leaflet of the plasma membrane, have a role equivalent to the one played by gangliosides
in the external leaflet.
The outside and inside effects of cholesterol
Cholesterol as a risk factor and a therapeutic target for neurodegenerative diseases
High cholesterol has been identified as a major risk factor for both Alzheimer (Ref.
85) and Parkinson (Ref. 86) diseases, and dysregulation of cholesterol homeostasis is a
hallmark of neurodegenerative diseases (Ref. 87).
Unfortunately, the effects of cholesterol on amyloid fibrillogenesis and toxicity are not
well understood and the results reported so far are controversial (Ref. 88). Cholesterol directly binds to APP (Ref. 89) and stimulates its insertion into phospholipid
monolayers (Ref. 90). It also binds to
Aβ protofibrils (Ref. 91). However,
whether cholesterol accelerates (Ref. 92) or
decreases (Refs 93, 94) Aβ polymerisation is still uncertain. Moreover, the
generation of Aβ peptides through APP proteolysis occurs within lipid rafts and
is sensitive to inhibitors of cholesterol biosynthesis (Ref. 95), so that the involvement of cholesterol homeostasis in Alzheimer
disease cannot be simply ascribed to the regulation of Aβ fibrillogenesis.In the case of Parkinson disease, data obtained with both cultured neuronal cells and
transgenic mice have shown that the cholesterol-depleting agent
methyl-β-cyclodextrin decreased the level of α-synuclein in membrane
fractions (Ref. 96). Moreover, metabolic
inhibition of cholesterol biosynthesis with statins reduced the levels of
α-synuclein accumulation in neuronal membranes, whereas cholesterol
supplementation of cultured neurons increased α-synuclein aggregation (Ref. 97). Consistent with these studies, it was recently
reported that lovastatin treatment of α-synuclein transgenic mice was associated
with a marked reduction of α-synuclein aggregation and abrogation of neuronal
pathology (Ref. 98). This suggests that treatment
with cholesterol-lowering agents might be beneficial for patients with Parkinson disease.
It has been suggested that oxidised cholesterol metabolites could accelerate
α-synuclein aggregation (Ref. 71), which
provides a mechanistic link between oxidative stress and Parkinson disease. Yet the
molecular mechanisms by which cholesterol and/or its metabolites could affect the
oligomerisation/aggregation status of amyloidogenic proteins have not been fully
deciphered. Recent physicochemical data could shed some light on this complex issue.
Effects of cholesterol on sphingolipid conformation
First, cholesterol has a major impact on the conformation of sphingolipids. The apolar
part of sphingolipids (i.e. the most important part of the ceramide) interacts with the
smooth face of cholesterol, whereas the OH group of cholesterol is accessible to the polar
part of the sphingolipid (Ref. 18). In the case
of glycosphingolipids, this OH group is involved in an H-bond network that restricts the
conformation of the sugar moiety in a parallel orientation with respect to the membrane.
This effect is particularly important when the ceramide contains a nonhydroxylated fatty
acid (NFA, Fig. 3e). Because this conformation of
the sphingolipid is particularly suited for a sphingolipid-binding domain, cholesterol
usually accelerates protein binding to sphingolipid (Ref. 99) and this also applies for amyloidogenic proteins (Ref. 52). By contrast, when the sphingolipid contains a
hydroxylated fatty acid (HFA), the OH group of cholesterol is excluded from the H-bond
network and it cannot exert its conformational effect on the sphingolipid. In this case,
cholesterol does not improve but rather perturbs the organisation of sphingolipids and can
even inhibit glycosphingolipid binding to amyloidogenic proteins (Ref. 52). Thus, according to the distribution of HFAs
versus NFAs in sphingolipids, an increase of membrane cholesterol can lead to opposite
effects on sphingolipid-mediated amyloidogenic protein binding and aggregation. In any
case, these effects are due to a fine tuning of sphingolipid conformation induced by
cholesterol, and do not involve any kind of physical interaction between amyloidogenic
proteins and cholesterol.
Amyloidogenic proteins interact first with sphingolipids and then with cholesterol
By contrast, the second mechanism involves a direct interaction between the amyloidogenic
protein and cholesterol. Therefore, this effect requires the insertion of a part of the
amyloid protein in the membrane; otherwise the protein would not be in physical contact
with cholesterol. Devanathan et al. (Ref. 100)
have shown that Aβ peptide aggregation on the bilayer surface requires a
sphingomyelin-rich environment but can occur in the absence of cholesterol. This is in
line with our hypothesis that sphingolipids are fully responsible for the initial binding
of amyloidogenic proteins to lipid rafts, and that cholesterol is not directly involved at
this stage. However, at the second step the presence of cholesterol may greatly facilitate
peptide insertion into the bilayer. The preferential interaction of amyloidogenic proteins
with lipid raft domains ensures that cholesterol is indeed present underneath the
sphingolipids that have attracted the unstructured monomer (Fig. 6). Once inserted in the membrane, the amyloidogenic protein
will immediately find cholesterol and interact with its free side – that is, the
face that is not in contact with sphingolipids (for a detailed explanation of cholesterol
topology, see Ref. 18).
Figure 6
Lipid-dependent formation of an α-synuclein oligomeric
channel. Unfolded α-synuclein monomers (a) are attracted by the
polar heads of glycosphingolipids and concentrated on the surface of
sphingolipid–cholesterol membrane domains (b). Sphingolipids, complexed
with cholesterol, induce a conformational change (unstructured to α-helix
transition) of α-synuclein. The newly formed α-helices can insert
into the plasma membrane (c) where they can further oligomerise under the control of
cholesterol molecules (blue arrows) (d) and eventually form an oligomeric ion
channel. Such channels are thought to disturb membrane permeability to calcium ions
(red arrows), resulting in neuronal dysfunction and toxicity. The minus signs (in
red) refer to the negative charges of α-synuclein.
Lipid-dependent formation of an α-synuclein oligomeric
channel. Unfolded α-synuclein monomers (a) are attracted by the
polar heads of glycosphingolipids and concentrated on the surface of
sphingolipid–cholesterol membrane domains (b). Sphingolipids, complexed
with cholesterol, induce a conformational change (unstructured to α-helix
transition) of α-synuclein. The newly formed α-helices can insert
into the plasma membrane (c) where they can further oligomerise under the control of
cholesterol molecules (blue arrows) (d) and eventually form an oligomeric ion
channel. Such channels are thought to disturb membrane permeability to calcium ions
(red arrows), resulting in neuronal dysfunction and toxicity. The minus signs (in
red) refer to the negative charges of α-synuclein.
How cholesterol could regulate the formation of oligomeric pores and channels
By stimulating the oligomerisation of membrane-inserted amyloidogenic proteins,
cholesterol could facilitate the formation of a pore-like assembly displaying ion channel
properties (Fig. 1). Quist et al. (Ref. 10) have hypothesised that amyloid pore/channels
provide the most direct pathway for inducing neurodegenerative effects, through loss of
ionic homeostasis increasing cell calcium to toxic levels. The structure of amyloid pores,
which have been observed by atomic force microscopy (Refs 9, 10), remains to be experimentally
elucidated at the atomic level. Computational models have suggested that most amyloid
pores are probably formed by a complex assembly of β-rich protofibrils or
oligomers (Ref. 130), as shown in Figure 1. However, in the case of
α-synuclein, Tsigelny et al. (Ref. 101)
have elegantly modelled a realistic oligomeric channel formed by the assembly of
α-helical monomers. The possible events leading to the formation of an
α-synuclein oligomeric channel under the dual control of sphingolipids and
cholesterol are summarised in Figure 6. There is a
striking similarity between α-synuclein (Refs 69, 31) and colicin E1, a bacterial
toxin that also inserts into anionic areas of the plasma membrane, forming channel-like
structures consisting of an α-helix bundle (Ref. 102). Moreover, it has been hypothesised that amyloid pores might be
similar to β-barrel pore-forming bacterial toxins (Ref. 103). Since cholesterol controls the oligomerisation and insertion
of these bacterial toxins (Ref. 104) in the
target membrane, it is likely that it is also required for the assembly of amyloid pores.How could cholesterol control the oligomerisation process of membrane-inserted
amyloidogenic proteins and facilitate the formation of amyloid pores? The recent
high-resolution crystal structure of an engineered human adrenergic β2 receptor,
suggesting a molecular mechanism by which cholesterol mediates receptor dimerisation (Ref.
105), might give some clues to this
fundamental issue. On the basis of these structural data, one could hypothesise that
cholesterol binds to membrane-embedded fragments of amyloidogenic proteins, facilitates
their recruitment and coordinates their oligomerisation. Overall, this would mean that
amyloid pore formation and ion channel function are under the control of both
sphingolipids and cholesterol, in agreement with recent data obtained in model membranes
with α-synuclein (Ref. 31) and amylin
(Ref. 106). Finally, it has been reported that
spherical amyloid oligomers or protofibrils can also increase membrane conductance without
forming ion channels or pores (Ref. 107). It is
not known if cholesterol and/or sphingolipids are involved in this nonspecific
permeabilising activity.
Changes in lipid content of the brain: what impact on neurodegenerative diseases?
The involvement of gangliosides in several neurodegenerative diseases is not totally
surprising if one considers that these sphingolipids are critical for neuronal integrity and
plasticity (Ref. 108) and synaptic function (Ref.
109). Since the probability of acquiring these
diseases gradually increases with age, it is important to evaluate how ganglioside
expression varies during the lifetime of individuals, and whether these diseases can alter
this process (Ref. 110). In vitro, the
differentiation of PC12 cells into neuron-like cells caused a marked increase in both
gangliosides and cholesterol, and thereby greatly potentiated the accumulation and
cytotoxicity of Aβ (Ref. 111). GM1 seems
to control the oligomerisation and aggregation process of Aβ and
α-synuclein (Refs 29, 30, 31). GM3
has been shown to control α-synuclein channel formation and to correct the
channelopathy induced in planar lipid membranes by the Parkinson-disease-linkedE46K mutant
of the protein (Ref. 31). In the human brain, GM3
is a minor ganglioside, which, in marked contrast with the major ganglioside species GM1 and
GD1A, shows a regular increase with age (Ref. 112). The expression of GM3 is highly regulated during brain development (Ref. 113), and this ganglioside has been implicated in the
regulation of neuronal cell death (Ref. 114).
Moreover, the homozygous loss-of-function mutation of GM3 synthase, which totally suppresses
the expression of GM3 and all GM3-derived gangliosides, has been linked to an infantile
symptomatic epilepsy syndrome (Ref. 115). Taken
together, these data indicate that ganglioside GM3 probably plays a more important role in
brain physiology and pathology than its low expression levels in adult brain could have
suggested in the past.Several studies support the view that deregulation of lipid metabolism is an important
feature of neurodegenerative diseases. The three main lipid categories –
glycerophospholipids, sphingolipids and cholesterol – are affected (Refs 116, 117,
118, 119, 120, 121). A large body of data has established a link between cholesterol
homeostasis, apolipoprotein E polymorphism and APP processing (Ref. 122). Correspondingly, cholesterol-lowering strategies with statins
have acquired potential therapeutic importance in treating Alzheimer disease (Ref. 123), although success has been variable (Ref. 124). Statins have also proved to be efficient in
decreasing α-synuclein aggregation and neuronal toxicity in animal models of
Parkinson disease (Ref. 98). Specific changes in
ganglioside content have been detected in the brains of patients with Alzheimer disease
(Refs 116, 125): a decrease or even loss of the major gangliosidesGM1, GD1a, GD1b and GT1b,
and an increase in GM2, GM3 and GD3. Similar alterations of ganglioside expression were
observed in the brains of transgenicmouse models of Alzheimer disease (Ref. 126). Regional variations in ganglioside content have
been shown in Alzheimer brains (Ref. 127).
Moreover, the balance between NFA and HFA ceramides is altered in animal models (Ref. 128). Interestingly, the authors of the latter study
showed that there is a gender-dependent accumulation of ceramides in the cerebral cortex:
female mice exhibited a strong increase in HFA species, and males in NFA species. This
observation could be linked to the increased risk of women versus men for developing
Alzheimer disease (Ref. 129). Because cholesterol
can exert distinct effects on Aβ–membrane interactions according to the
NFA:HFA content of brain sphingolipids (Ref. 52),
it will be interesting to determine how cholesterol impacts on
Aβ–glycosphingolipid interaction in men and women suffering from
Alzheimer disease.
Perspectives
How amyloidogenic proteins kill neurons is still a mystery. In particular, as recently
discussed by Butterfield and Lashuel (Ref. 130),
‘there remains a knowledge gap regarding the molecular-level details by which
amyloid-forming proteins act on the membrane and induce membrane
permeabilization’. Deciphering the complex interplay between amyloidogenic
proteins and membrane lipids, especially sphingolipids and cholesterol, will certainly help
to achieve a clearer view on this enigma. Several milestones have already been reached,
which have inspired an important part of today's research efforts worldwide. Despite their
lack of amino acid sequence homology, amyloidogenic proteins share a number of intriguing
properties: (1) an important conformational plasticity, allowing the same protein to remain
unordered or to form highly ordered α and β structures (Refs 4, 5); (2)
self-oligomerising capacities that revealed unexpected common antigenic properties (Ref.
7); (3) the ability to form pore-like structures
with ion channel properties (Refs 9, 10); (4) self-aggregating activity leading to
fibrillation and plaque deposition (Ref. 131); and
(5) common structural motifs allowing specific interactions with sphingolipids (Ref. 49) and cholesterol (yet uncharacterised) in lipid raft
domains of the plasma membrane. It is intriguing that HIV-1, which interacts with
glycosphingolipids through the V3 domain of its surface glycoprotein gp120, can induce major
neurological disabilities, identified as HIV-1-associated dementia (Ref. 110). In this respect, it is also worth noting that
the protein CLN3, involved in Batten disease (the juvenile form of neuronal ceroid
lipofuscinosis), also binds to GalCer through a V3-like sphingolipid-binding domain (Ref.
132). This neural disease is caused by a
mutation in this domain, namely E295K (Ref. 133),
which is analogous to mutations E22K in Aβ, E46K in α-synuclein and E200K
in PrP, all associated with inherited forms of neurodegenerative disease and located in the
sphingolipid-binding domains of these proteins. At least for two of these proteins (PrP and
α-synuclein), the substitution of an anionic glutamic acid side chain by a cationic
lysine resulted in altered binding to membrane sphingolipids (Refs 27, 31). This further
emphasises the key role of the sphingolipid-binding domain in neuronal diseases.Future studies will be necessary to better evaluate the neurotoxicity of the various forms
of amyloidogenic proteins, including monomers, oligomers and aggregates, and to understand
how these different species cooperate to accelerate (or slow down) the onset of
neurodegenerative symptoms. This will help to decide on a rational basis which therapeutic
strategy should be used at the different stages of the diseases. This will be possible with
the finding of nontoxic drugs specifically affecting amyloid channels (Ref. 134) or amyloid aggregation (Ref. 135). Combining molecular (Refs 31, 52), biophysical (Refs
14, 31,
69, 136, 137), cellular (Refs 93, 114,
138) and animal (Refs 126, 128, 139) studies will allow a better characterisation of
the sphingolipids that regulate amyloid oligomerisation/aggregation. Biophysical properties
of the membrane such as membrane curvature should be taken into consideration (Ref. 130). Indeed, depending on the surface curvature of
the model membrane, membrane-bound α-synuclein can adopt an extended helix (Ref.
140), a bent helix (Ref. 141) or an antiparallel helix–turn–helix
conformation (Ref. 142) (for a review see Ref.
130). Interestingly, GM1 and GM3 are
concentrated in membrane areas that markedly differ in membrane curvature (Ref. 143), so that on binding to distinct gangliosides, the
same amyloid protein could adopt distinct conformations. This could be the case for
α-synuclein, which recognises both GM1 (Ref. 30) and GM3 (Ref. 31). Antiganglioside
antibodies could interfere with normal ganglioside function and could thus play a role in
disease pathogenesis, as anti-GM1 antibodies probably do in some Parkinsonpatients (Refs
110, 144). Careful determinations of the titres of these antibodies in various biological
fluids, including cerebrospinal fluid, will be particularly informative. Beneficial effects
of ganglioside supplementation have been reported in animal models of Parkinson disease
(Ref. 145). This warrants further investigation.
Enzymes involved in glycosphingolipid metabolism might represent targets that inhibit both
the production and amyloid aggregation of Alzheimer Aβ peptides (Ref. 146). Correspondingly, lipid raft disruption has been
shown to protect neurons against amyloid oligomer toxicity in vitro (Ref. 147). We need to better understand how cholesterol
interacts with amyloidogenic proteins, regulates their supramolecular structures and is
involved in the pathophysiology of neurodegenerative diseases (Refs 86, 87). We should also
determine how mutations of amyloidogenic proteins affect their interaction with neural
membranes (Refs 27, 69, 148). A decisive
breakthrough will be to understand why neurodegenerative diseases involve specific brain
areas, and how local lipid composition may account for such geographic restrictions (Refs
127, 135). Finally, we have to identify the environmental molecules (such as food
contaminants, pesticides and mycotoxins) that could modulate amyloid formation through
direct binding to amyloid proteins and could represent important risk factors for
neurodegenerative diseases (Ref. 149).
Authors: N Naslavsky; H Shmeeda; G Friedlander; A Yanai; A H Futerman; Y Barenholz; A Taraboulos Journal: J Biol Chem Date: 1999-07-23 Impact factor: 5.157
Authors: Jacques Fantini; Coralie Di Scala; Nouara Yahi; Jean-Denis Troadec; Kevin Sadelli; Henri Chahinian; Nicolas Garmy Journal: ACS Chem Neurosci Date: 2014-01-12 Impact factor: 4.418
Authors: Jameson J Ribbens; Ann B Moser; Walter C Hubbard; Ernesto R Bongarzone; Gustavo H B Maegawa Journal: Mol Genet Metab Date: 2013-09-21 Impact factor: 4.797
Authors: Li Hong Zhou; Renate A Weizbauer; Srikanth Singamaneni; Feng Xu; Guy M Genin; Barbara G Pickard Journal: Ann Bot Date: 2014-08-27 Impact factor: 4.357