Hacking the Code of Amyloid Formation

Many research efforts in the last years have been directed towards understanding the factors determining protein misfolding and amyloid formation. Protein stability and amino acid composition have been identified as the two major factors in vitro. The research of our group has been focused on understanding the relationship between amino acid sequence and amyloid formation. Our approach has been the design of simple model systems that reproduce the biophysical properties of natural amyloids. An amyloid sequence pattern was extracted that can be used to detect amyloidogenic hexapeptide stretches in proteins. We have added evidence supporting that these amyloidogenic stretches can trigger amyloid formation by non-amyloidogenic proteins. Some experimental results in other amyloid proteins will be analyzed under the conclusions obtained in these studies. Our studies together with evidences from other groups suggest that amyloid formation is the result of the interplay between a decrease of protein stability, and the presence of highly amyloidogenic regions in proteins. As many of these results have been obtained in vitro, the challenge for the next years will be to demonstrate their validity in in vivo systems.     

New strategy for the generation of specific D-peptide amyloid inhibitors

The conversion of a soluble protein into β-sheet-rich oligomeric structures and further fiber formation are critical steps in the pathogenesis of the group of human diseases known as amyloidoses. Drugs that interfere with this process may thus be able to prevent and/or cure these diseases. Recent results have shown that short amino acid stretches can provide most of the driving force needed to trigger amyloid formation of a protein. These evidence suggest that compounds that specifically bind to peptides synthesized upon the sequence of such amyloidogenic protein stretches might also be able to inhibit amyloid formation of the corresponding full-length protein and, likely, amyloid-induced cytotoxicity as well. Here we present a general strategy to obtain d-peptides that specifically interact with protein amyloid stretches. The screening of a d-peptide combinatorial library for inhibitors of an amyloidogenic peptide designed de novo has allowed us to extract a set of empirical rules for the design of d-peptide inhibitors of any six-residue amyloidogenic stretch. d-peptides generated on these bases prevent amyloid formation and disassemble preformed fibrils of different amyloid hexapeptides identified in human amyloid proteins. In addition, they are also specific for their target sequence. The d-peptide designed here for the Alzheimer's Aβ_1-42 peptide not only inhibits and disassembles amyloid material but also reduces Aβ_1-42 amyloid-induced cytotoxicity in cell culture.     

Insights into Stabilizing Forces in Amyloid Fibrils of Differing Sizes from Polarizable Molecular Dynamics Simulations

Pathological aggregation of amyloid-forming proteins is a hallmark of a number of human diseases, including Alzheimer's, type 2 diabetes, Parkinson's, and more. Despite having very different primary amino acid sequences, these amyloid proteins form similar supramolecular, fibril structures that are highly resilient to physical and chemical denaturation. To better understand the structural stability of disease-related amyloids and to gain a greater understanding of factors that stabilize functional amyloid assemblies, insights into tertiary and quaternary interactions are needed. We performed molecular dynamics simulations on human tau, amyloid-β, and islet amyloid polypeptide fibrils to determine key physicochemical properties that give rise to their unique characteristics and fibril structures. These simulations are the first of their kind in employing a polarizable force field to explore properties of local electric fields on dipole properties and other electrostatic forces that contribute to amyloid stability. Across these different amyloid fibrils, we focused on how the underlying forces stabilize fibrils to elucidate the driving forces behind the protein aggregation. The polarizable model allows for an investigation of how side-chain dipole moments, properties of structured water molecules in the fibril core, and the local environment around salt bridges contribute to the formation of interfaces essential for fibril stability. By systematically studying three amyloidogenic proteins of various fibril sizes for key structural properties and stabilizing forces, we shed light on properties of amyloid structures related to both diseased and functional states at the atomistic level.     

Recombinant immunoglobulin variable domains generated from synthetic genes provide a system for in vitro characterization of light-chain amyloid proteins.

The primary structural features that render human monoclonal light chains amyloidogenic are presently unknown. To gain further insight into the physical and biochemical factors that result in the pathologic deposition of these proteins as amyloid fibrils, we have selected for detailed study three closely homologous protein products of the light-chain variable-region single-gene family VkIV. Two of these proteins, REC and SMA, formed amyloid fibrils in vivo. The third protein, LEN, was excreted by the patient at levels of 50 g/day with no indication of amyloid deposits. Sequences of amyloidogenic proteins REC and SMA differed from the sequence of the nonpathogenic protein LEN at 14 and 8 amino acid positions, respectively, and these amino acid differences have been analyzed in terms of the three-dimensional structure of the LEN dimer. To provide a replenishable source of these human proteins, we constructed synthetic genes coding for the REC, SMA, and LEN variable domains and expressed these genes in Escherichia coli. Immunochemical and biophysical comparisons demonstrated that the recombinant VkIV products have tertiary structural features comparable to those of the patient-derived proteins. This well-defined set of three clinically characterized human kIV light chains, together with the capability to produce these kIV proteins recombinantly, provide a system for biophysical and structural comparisons of two different amyloidogenic light-chain proteins and a nonamyloidogenic protein of the same subgroup. This work lays the foundation for future investigations of the structural basis of light-chain amyloidogenicity.     

Is it possible to predict amyloidogenic regions from sequence alone?

Identification of potentially amyloidogenic regions in polypeptide chains is very important because the amyloid fibril formation can be induced in most normal proteins. In our work we suggest a new method to detect amyloidogenic regions in protein sequence. It is based on the assumption that packing is tight inside an amyloid and therefore regions which could potentially pack well would have a tendency to form amyloids. This means that the regions with strong expected packing of residues would be responsible for the amyloid formation. We use this property to identify potentially amyloidogenic regions in proteins basing on their amino acid sequences only. Our predictions are consistent with known disease-related amyloidogenic regions for 8 of 11 amyloid-forming proteins and peptides in which the positions of amyloidogenic regions have been revealed experimentally. Predictions of the regions which are responsible for the formation of amyloid fibrils in proteins unrelated to disease have been also done.     

Amyloid fibril formation by macrophage migration inhibitory factor

We demonstrate herein that human macrophage migration inhibitory factor (MIF), a pro-inflammatory cytokine expressed in the brain and not previously considered to be amyloidogenic, forms amyloid fibrils similar to those derived from the disease associated amyloidogenic proteins beta-amyloid and alpha-synuclein. Acid denaturing conditions were found to readily induce MIF to undergo amyloid fibril formation. MIF aggregates to form amyloid-like structures with a morphology that is highly dependent on pH. The mechanism of MIF amyloid formation was probed by electron microscopy, turbidity, Thioflavin T binding, circular dichroism spectroscopy, and analytical ultracentrifugation. The fibrillar structures formed by MIF bind Congo red and exhibit the characteristic green birefringence under polarized light. These results are consistent with the notion that amyloid fibril formation is not an exclusive property of a select group of amyloidogenic proteins, and contribute to a better understanding of the factors which govern protein conformational changes and amyloid fibril formation in vivo.     

Proline and lysine residues provide modulatory switches in amyloid formation: Insights from prion protein

Amyloidogenic proteins have an increased propensity to reorganize into the highly structured, β sheet rich structures that characterize amyloid. The probability of attaining these highly structured assemblies is influenced by multiple factors, including amino acid composition and environmental conditions. Evolutionary selection for amino acid sequences that prevent amyloid formation could further modulate amyloid-forming propensity. Indeed, we have recently identified specific proline and lysine residues, contained within a highly conserved central region of prion protein (PrP), that impede PrP amyloid formation in vitro. These prolines are mutated in certain forms of the human familial genetic disease, Gerstmann-Straüssler-Schneiker (GSS) syndrome. Here, I discuss the influence of these proline and lysine residues on PrP amyloid formation and how such anti-amyloidogenic primary amino acid sequences might be modulated to influence protein amyloidogenicity.     

Amyloid toxicity is independent of polypeptide sequence, length and chirality

By using an amyloid sequence pattern, here we have identified putative six-residue amyloidogenic stretches in several relevant amyloid proteins. Hexapeptides synthesized on the bases of the sequence stretches matching the pattern have been shown to form amyloid fibrils in vitro. As larger pathological peptides such as Aβ_1-42 do, these short amyloid peptides form heterogeneous mixtures of small aggregates that induce cell death in PC12 cells and primary hippocampal neurons. Toxic mixtures of small aggregates from these hexapeptides bind to cell membranes and can be further internalized, as also observed for natural amyloid proteins. In neurons, toxic aggregates obtained from the full length Aβ_1-42 amyloid peptide or their amyloid stretch Aβ_16-21 peptide preferentially localize in synapses, leading to the re-organization of the underlying actin cytoskeleton. This process does not involve stereospecific interactions between membrane and toxic species as D-sequences are as toxic as L ones, suggesting that is not receptor mediated. Based on these results, we propose here that regardless of polypeptide sequence, length and amino acid chirality, amyloid prefibrillar aggregates exert their cytotoxic effect through a common cell death mechanism related to a particular quaternary structure. The degree of toxicity of these species seems to depend, however, on cell membrane composition.     

Generic inhibition of amyloidogenic proteins by two naphthoquinone-tryptophan hybrid molecules

Amyloid formation is associated with several human diseases including Alzheimer's disease (AD), Parkinson's disease, Type 2 Diabetes, and so forth, no disease modifying therapeutics are available for them. Because of the structural similarities between the amyloid species characterizing these diseases, (despite the lack of amino acid homology) it is believed that there might be a common mechanism of toxicity for these conditions. Thus, inhibition of amyloid formation could be a promising disease-modifying therapeutic strategy for them. Aromatic residues have been identified as crucial in formation and stabilization of amyloid structures. This finding was corroborated by high-resolution structural studies, theoretical analysis, and molecular dynamics simulations. Amongst the aromatic entities, tryptophan was found to possess the most amyloidogenic potential. We therefore postulate that targeting aromatic recognition interfaces by tryptophan could be a useful approach for inhibiting the formation of amyloids. Quinones are known as inhibitors of cellular metabolic pathways, to have anti- cancer, anti-viral and anti-bacterial properties and were shown to inhibit aggregation of several amyloidogenic proteins in vitro. We have previously described two quinone-tryptophan hybrids which are capable of inhibiting amyloid-beta, the protein associated with AD pathology, both in vitro and in vivo. Here we tested their generic properties and their ability to inhibit other amyloidogenic proteins including α-synuclein, islet amyloid polypeptide, lysozyme, calcitonin, and insulin. Both compounds showed efficient inhibition of all five proteins examined both by ThT fluorescence analysis and by electron microscope imaging. If verified in vivo, these small molecules could serve as leads for developing generic anti-amyloid drugs.     

A search for amyloidogenic regions in protein chain

We suggest a new method to detect amyloidogenic regions in a protein sequence. In the present work it is shown that regions enriched with amino acid residues which have a high expected packing density are responsible for the amyloid formation. Our predictions are consistent with known disease-related amyloidogenic regions for 8 of 11 amyloid-forming proteins and peptides in which positions of amyloidogenic regions have been revealed experimentally.     

Identification of amyloidogenic proteins in the microbiomes of a rat Parkinson's disease model and wild‐type rats

Cross seeding between amyloidogenic proteins in the gut is receiving increasing attention as a possible mechanism for initiation or acceleration of amyloid formation by aggregation‐prone proteins such as αSN, which is central in the development of Parkinson''s disease (PD). This is particularly pertinent in view of the growing number of functional (i.e., benign and useful) amyloid proteins discovered in bacteria. Here we identify two amyloidogenic proteins, Pr12 and Pr17, in fecal matter from PD transgenic rats and their wild type counterparts, based on their stability against dissolution by formic acid (FA). Both proteins show robust aggregation into ThT‐positive aggregates that contain higher‐order β‐sheets and have a fibrillar morphology, indicative of amyloid proteins. In addition, Pr17 aggregates formed in vitro showed significant resistance against FA, suggesting an ability to form highly stable amyloid. Treatment with proteinase K revealed a protected core of approx. 9 kDa. Neither Pr12 nor Pr17, however, affected αSN aggregation in vitro. Thus, amyloidogenicity does not per se lead to an ability to cross‐seed fibrillation of αSN. Our results support the use of proteomics and FA to identify amyloidogenic protein in complex mixtures and suggests that there may be numerous functional amyloid proteins in microbiomes.     

Prediction of amyloidogenic and disordered regions in protein chains

The determination of factors that influence protein conformational changes is very important for the identification of potentially amyloidogenic and disordered regions in polypeptide chains. In our work we introduce a new parameter, mean packing density, to detect both amyloidogenic and disordered regions in a protein sequence. It has been shown that regions with strong expected packing density are responsible for amyloid formation. Our predictions are consistent with known disease-related amyloidogenic regions for eight of 12 amyloid-forming proteins and peptides in which the positions of amyloidogenic regions have been revealed experimentally. Our findings support the concept that the mechanism of amyloid fibril formation is similar for different peptides and proteins. Moreover, we have demonstrated that regions with weak expected packing density are responsible for the appearance of disordered regions. Our method has been tested on datasets of globular proteins and long disordered protein segments, and it shows improved performance over other widely used methods. Thus, we demonstrate that the expected packing density is a useful value with which one can predict both intrinsically disordered and amyloidogenic regions of a protein based on sequence alone. Our results are important for understanding the structural characteristics of protein folding and misfolding.     

Cooperativity among short amyloid stretches in long amyloidogenic sequences

Amyloid fibrillar aggregates of polypeptides are associated with many neurodegenerative diseases. Short peptide segments in protein sequences may trigger aggregation. Identifying these stretches and examining their behavior in longer protein segments is critical for understanding these diseases and obtaining potential therapies. In this study, we combined machine learning and structure-based energy evaluation to examine and predict amyloidogenic segments. Our feature selection method discovered that windows consisting of long amino acid segments of ~30 residues, instead of the commonly used short hexapeptides, provided the highest accuracy. Weighted contributions of an amino acid at each position in a 27 residue window revealed three cooperative regions of short stretch, resemble the β-strand-turn-β-strand motif in A-βpeptide amyloid and β-solenoid structure of HET-s(218-289) prion (C). Using an in-house energy evaluation algorithm, the interaction energy between two short stretches in long segment is computed and incorporated as an additional feature. The algorithm successfully predicted and classified amyloid segments with an overall accuracy of 75%. Our study revealed that genome-wide amyloid segments are not only dependent on short high propensity stretches, but also on nearby residues.     

Specific Chaperones and Regulatory Domains in Control of Amyloid Formation

Many proteins can form amyloid-like fibrils in vitro, but only about 30 amyloids are linked to disease, whereas some proteins form physiological amyloid-like assemblies. This raises questions of how the formation of toxic protein species during amyloidogenesis is prevented or contained in vivo. Intrinsic chaperoning or regulatory factors can control the aggregation in different protein systems, thereby preventing unwanted aggregation and enabling the biological use of amyloidogenic proteins. The molecular actions of these chaperones and regulators provide clues to the prevention of amyloid disease, as well as to the harnessing of amyloidogenic proteins in medicine and biotechnology.     

A molecular dynamics study of the interaction of D-peptide amyloid inhibitors with their target sequence reveals a potential inhibitory pharmacophore conformation

The self-assembly of soluble proteins and peptides into β-sheet-rich oligomeric structures and insoluble fibrils is a hallmark of a large number of human diseases known as amyloid diseases. Drugs that are able to interfere with these processes may be able to prevent and/or cure these diseases. Experimental difficulties in the characterization of the intermediates involved in the amyloid formation process have seriously hampered the application of rational drug design approaches to the inhibition of amyloid formation and growth. Recently, short model peptide systems have proved useful in understanding the relationship between amino acid sequence and amyloid formation using both experimental and theoretical approaches. Moreover, short d-peptide sequences have been shown to specifically interfere with those short amyloid stretches in proteins, blocking oligomer formation or disassembling mature fibrils. With the aim of rationalizing which interactions drive the binding of inhibitors to nascent β-sheet oligomers, in this study, we have carried out extensive molecular dynamics simulations of the interaction of selected d-peptide sequences with oligomers of the target model sequence STVIIE. Structural analysis of the simulations helped to identify the molecular determinants of an inhibitory core whose conformational and physicochemical properties are actually shared by nonpeptidic small-molecule inhibitors of amyloidogenesis. Selection of one of these small molecules and experimental validation against our model system proved that it was indeed an effective inhibitor of fibril formation by the STVIIE sequence, supporting theoretical predictions. We propose that the inhibitory determinants derived from this work be used as structural templates in the development of pharmacophore models for the identification of novel nonpeptidic inhibitors of aggregation.     

The role of protein sequence and amino acid composition in amyloid formation: scrambling and backward reading of IAPP amyloid fibrils

The specific functional structure of natural proteins is determined by the way in which amino acids are sequentially connected in the polypeptide. The tight sequence/structure relationship governing protein folding does not seem to apply to amyloid fibril formation because many proteins without any sequence relationship have been shown to assemble into very similar β-sheet-enriched structures. Here, we have characterized the aggregation kinetics, seeding ability, morphology, conformation, stability, and toxicity of amyloid fibrils formed by a 20-residue domain of the islet amyloid polypeptide (IAPP), as well as of a backward and scrambled version of this peptide. The three IAPP peptides readily aggregate into ordered, β-sheet-enriched, amyloid-like fibrils. However, the mechanism of formation and the structural and functional properties of aggregates formed from these three peptides are different in such a way that they do not cross-seed each other despite sharing a common amino acid composition. The results confirm that, as for globular proteins, highly specific polypeptide sequential traits govern the assembly pathway, final fine structure, and cytotoxic properties of amyloid conformations.     

Protein Glycation by Glyoxal Promotes Amyloid Formation by Islet Amyloid Polypeptide

Protein glycation, also known as nonenzymatic glycosylation, is a spontaneous post-translational modification that would change the structure and stability of proteins or hormone peptides. Recent studies have indicated that glycation plays a role in type 2 diabetes (T2D) and neurodegenerative diseases. Over the last two decades, many types of advanced glycation end products (AGEs), formed through the reactions of an amino group of proteins with reducing sugars, have been identified and detected in vivo. However, the effect of glycation on protein aggregation has not been fully investigated. In this study, we aim to elucidate the impact of protein glycation on islet amyloid polypeptide (IAPP, also known as amylin) aggregation, which was strongly associated with T2D. We chemically synthesized glycated IAPP (AGE-IAPP) to mimic the consequence of this hormone peptide in a hyperglycemia (high blood sugar) environment. Our data revealed that AGE-IAPP formed amyloid faster than normal IAPP, and higher-molecular-weight AGE-IAPP oligomers were also observed in the early stage of aggregation. Circular dichroism spectra also indicated that AGE-IAPP exhibited faster conformational changes from random coil to its β-sheet fibrillar states. Moreover, AGE-IAPP can induce normal IAPP to expedite its aggregation process, and its fibrils can also act as templates to promote IAPP aggregation. AGE-IAPP, like normal IAPP, is capable of interacting with synthetic membranes and also exhibits cytotoxicity. Our studies demonstrated that glycation modification of IAPP promotes the amyloidogenic properties of IAPP, and it may play a role in accumulating additional amyloid during T2D progression.     

Physicochemical consequences of amino acid variations that contribute to fibril formation by immunoglobulin light chains

The most common form of systemic amyloidosis originates from antibody light chains. The large number of amino acid variations that distinguish amyloidogenic from nonamyloidogenic light chain proteins has impeded our understanding of the structural basis of light-chain fibril formation. Moreover, even among the subset of human light chains that are amyloidogenic, many primary structure differences are found. We compared the thermodynamic stabilities of two recombinant kappa4 light-chain variable domains (V(L)s) derived from amyloidogenic light chains with a V(L) from a benign light chain. The amyloidogenic V(L)s were significantly less stable than the benign V(L). Furthermore, only the amyloidogenic V(L)s formed fibrils under native conditions in an in vitro fibril formation assay. We used site-directed mutagenesis to examine the consequences of individual amino acid substitutions found in the amyloidogenic V(L)s on stability and fibril formation capability. Both stabilizing and destabilizing mutations were found; however, only destabilizing mutations induced fibril formation in vitro. We found that fibril formation by the benign V(L) could be induced by low concentrations of a denaturant. This indicates that there are no structural or sequence-specific features of the benign V(L) that are incompatible with fibril formation, other than its greater stability. These studies demonstrate that the V(L) beta-domain structure is vulnerable to destabilizing mutations at a number of sites, including complementarity determining regions (CDRs), and that loss of variable domain stability is a major driving force in fibril formation.     

Preventing Amyloid Formation by Catching Unfolded Transmembrane Segments

A subset of protein misfolding diseases, including, for example, Alzheimer's disease, is associated with the formation of highly insoluble amyloid fibrils with a β-sheet structure. The amyloidogenic human lung surfactant protein C (SP-C) is generated from SP-C precursor, which has a C-terminal domain (CTC) that prevents SP-C amyloid fibril formation. Analysis of the substrate specificity of CTC reveals that it binds to all amino acid residues that promote membrane insertion, provided that they are in a nonhelical conformation. In line with this unexpectedly general substrate specificity, the anti-amyloid function of CTC extends to a transmembrane segment other than that of (pro)SP-C, namely, the amyloid β-peptide associated with Alzheimer's disease. These findings indicate that CTC is the first known chaperone to be directed towards nonhelical transmembrane segments and that it may be employed for the development of new diagnostics or anti-amyloid therapies.     

Elongation in a beta-structure promotes amyloid-like fibril formation of human lysozyme

To understand the mechanism of amyloid fibril formation of a protein, we examined wild-type and three mutant human lysozymes containing both amyloidogenic and non-amyloidogenic proteins: I56T (amyloidogenic); EAEA, which has four additional residues (Glu-Ala-Glu-Ala-) at the N-terminus located on a beta-structure; and EAEA-I56T, which is an I56T mutant of EAEA. All formed amyloid-like fibrils through an in the increase contents of alpha-helix with increasing concentration of ethanol. The order of propensity for amyloid-like fibril formation in highly concentrated ethanol solution is EAEA-I56T > EAEA > I56T > wild-type. This order is almost the reverse of the order of conformational stability of these proteins, wild-type > EAEA > I56T > EAEA-I56T. The important views in this work are as follows. (i) Artificially modified proteins formed amyloid fibrils in vitro. This means that amyloid formation is a generic property of polypeptide chains. (ii) The amyloidogenic mutation Ile56 to Thr caused the destabilization and promoted fibril formation in the wild-type and EAEA human lysozymes, indicating that instability facilitates amyloid formation. (iii) The mutant protein EAEA human lysozyme had higher propensity for fibril formation than the amyloidogenic mutant protein, indicating that amyloid formation is controlled not only by stability but also by other factors. In this case, appending polypeptide chains to a beta-structure accelerated amyloid formation.