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.     

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.     

FoldUnfold: web server for the prediction of disordered regions in protein chain

Identification of disordered regions in polypeptide chains is very important because such regions are essential for protein function. A new parameter, namely mean packing density of residues has been introduced to detect disordered regions in a protein sequence. We have demonstrated that regions with weak expected packing density would be responsible for the appearance of disordered regions. Our method (FoldUnfold) has been tested on datasets of globular proteins (559 proteins) and long disordered protein segments (129 proteins) and showed improved performance over some other widely used methods, such as DISOPRED, PONDR VL3H, IUPred and GlobPlot. AVAILABILITY: The FoldUnfold server is available for users at http://skuld.protres.ru/~mlobanov/ogu/ogu.cgi. There is a link to our server through the web site of DisProt (http://www.disprot.org/predictors.php).     

A search for amyloidogenic regions in protein chains

A new method was developed for identifying amyloidogenic regions in protein chains. The formation of amyloid fibrils was attributed to protein regions enriched in residues with a high expected packing density. Predictions consistent with experimental findings were obtained for 8 out of 11 amyloid-forming proteins examined.     

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.     

Hacking the Code of Amyloid Formation: The Amyloid Stretch Hypothesis

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 nonamyloidogenic proteins. Some experimental results in other amyloid proteins will be analyzed under the conclusions obtained in these studies. Our conclusions 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.     

The role of G protein activation in the toxicity of amyloidogenic Abeta-(1-40), Abeta-(25-35), and bovine calcitonin

More than 16 different proteins have been identified as amyloid in clinical diseases; among these, beta-amyloid (Abeta) of Alzheimer's disease is the best characterized. In the present study, we performed experiments with Abeta and calcitonin, another amyloid-forming peptide, to examine the role of G protein activation in amyloid toxicity. We demonstrated that the peptides, when prepared under conditions that promoted beta-sheet and amyloid fibril (or protofibril) formation, increased high affinity GTPase activity, but the nonamyloidogenic peptides had no discernible effects on GTP hydrolysis. These increases in GTPase activity were correlated to toxicity. In addition, G protein inhibitors significantly reduced the toxic effects of the amyloidogenic Abeta and calcitonin peptides. Our results further indicated that the amyloidogenic peptides significantly increased GTPase activity of purified Galpha(o) and Galpha(i) subunits and that the effect was not receptor-mediated. Collectively, these results imply that the amyloidogenic structure, regardless of the actual peptide or protein sequence, may be sufficient to cause toxicity and that toxicity is mediated, at least partially, through G protein activation. Our abilities to manipulate G protein activity may lead to novel treatments for Alzheimer's disease and the other amyloidoses.     

Impact of membrane curvature on amyloid aggregation

The misfolding, amyloid aggregation, and fibril formation of intrinsically disordered proteins/peptides (or amyloid proteins) have been shown to cause a number of disorders. The underlying mechanisms of amyloid fibrillation and structural properties of amyloidogenic precursors, intermediates, and amyloid fibrils have been elucidated in detail; however, in-depth examinations on physiologically relevant contributing factors that induce amyloidogenesis and lead to cell death remain challenging. A large number of studies have attempted to characterize the roles of biomembranes on protein aggregation and membrane-mediated cell death by designing various membrane components, such as gangliosides, cholesterol, and other lipid compositions, and by using various membrane mimetics, including liposomes, bicelles, and different types of lipid-nanodiscs.We herein review the dynamic effects of membrane curvature on amyloid generation and the inhibition of amyloidogenic proteins and peptides, and also discuss how amyloid formation affects membrane curvature and integrity, which are key for understanding relationships with cell death. Small unilamellar vesicles with high curvature and large unilamellar vesicles with low curvature have been demonstrated to exhibit different capabilities to induce the nucleation, amyloid formation, and inhibition of amyloid-β peptides and α-synuclein. Polymorphic amyloidogenesis in small unilamellar vesicles was revealed and may be viewed as one of the generic properties of interprotein interaction-dominated amyloid formation. Several mechanical models and phase diagrams are comprehensively shown to better explain experimental findings. The negative membrane curvature-mediated mechanisms responsible for the toxicity of pancreatic β cells by the amyloid aggregation of human islet amyloid polypeptide (IAPP) and binding of the precursors of the semen-derived enhancer of viral infection (SEVI) are also described. The curvature-dependent binding modes of several types of islet amyloid polypeptides with high-resolution NMR structures are also discussed.     

Stem-forming regions that are essential for the amyloidogenesis of prion proteins

Prion diseases represent fatal neurodegenerative disorders caused by the aggregation of prion proteins. With regard to the formation of the amyloidogenic cross-β-structure, the initial mechanism in the conversion to a β-structure is critically important. To explore the core regions forming a stem of the amyloid, we designed and prepared a series of peptides comprised of two native sequences linked by a turn-inducing dipeptide moiety and examined their ability to produce amyloids. A sequence alignment of the peptides bearing the ability to form amyloid structures revealed that paired strands consisting of VNITI (residues 180-184) and VTTTT (residues 189-193) are the core regions responsible for initiating the formation of cross-β-structures and for further ordered aggregation. In addition, most of the causative mutations responsible for inherited prion diseases were found to be located in these stem-forming regions on helix H2 and their counterpart on helix H3. Moreover, the volume effect of the nonstem domain, which contains ~200 residues, was deduced to be a determinant of the nature of the association such as oligomerization, because the stem-forming domain is only a small part of a prion protein. Taken together, we conclude that the mechanism underlying the initial stage of amyloidogenesis is the exposure of a newly formed intramolecular β-sheet to a solvent through the partial transition of a native structure from an α-helix to a β-structure. Our results also demonstrate that prion diseases caused by major prion proteins except the prions of some fungi such as yeast are inherent only in mammals, as evidenced by a comparison of the corresponding sequences to the stem-forming regions among different animals.     

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.     

Characterization of two distinct beta2-microglobulin unfolding intermediates that may lead to amyloid fibrils of different morphology

The self-assembly of beta(2)-microglobulin into fibrils leads to dialysis-related amyloidosis. pH-mediated partial unfolding is required for the formation of the amyloidogenic intermediate that then self-assembles into amyloid fibrils. Two partially folded intermediates of beta(2)-microglobulin have been identified experimentally and linked to the formation of fibrils of distinct morphology, yet it remains difficult to characterize these partially unfolded states at high resolution using experimental approaches. Consequently, we have performed molecular dynamics simulations at neutral and low pH to determine the structures of these partially unfolded amyloidogenic intermediates. In the low-pH simulations, we observed the formation of alpha-sheet structure, which was first proposed by Pauling and Corey. Multiple simulations were performed, and two distinct intermediate state ensembles were identified that may account for the different fibril morphologies. The predominant early unfolding intermediate was nativelike in structure, in agreement with previous NMR studies. The late unfolding intermediate was significantly disordered, but it maintained an extended elongated structure, with hydrophobic clusters and residual alpha-extended chain strands in specific regions of the sequence that map to amyloidogenic peptides. We propose that the formation of alpha-sheet facilitates self-assembly into partially unfolded prefibrillar amyloidogenic intermediates.     

Amphoterin includes a sequence motif which is homologous to the Alzheimer's beta-amyloid peptide (Abeta), forms amyloid fibrils in vitro, and binds avidly to Abeta

Many of the proteins associated with amyloidoses have been found to share structural and sequence similarities, which are believed to be responsible for their capability to form amyloid fibrils. Interestingly, some proteins seem to be able to form amyloid-like fibrils although they are not associated with amyloidoses. This indicates that the ability to form amyloid fibrils may be a general property of a greater number of proteins not associated with these diseases. In the present work, we have searched for amyloidogenic consensus sequences in two current protein/peptide databases and show that many proteins share structures which can be predicted to form amyloid. One of these potentially amyloidogenic proteins is amphoterin (also known as HMG-1), involved in neuronal development and a ligand for the receptor for advanced glycation end products (RAGE). It contains an amyloidogenic peptide fragment which is highly homologous to the Alzheimer's amyloid beta-peptide. If enzymatically released from the native protein, it forms amyloid-like fibrils which are visible in electron microscopy, exhibit apple green birefringence under polarized light after Congo red staining, and increases thioflavin T fluorescence. This fragment also shows high affinity to Abeta as a free peptide or while part of the native protein. Our results support the hypothesis that the potential to form amyloid is a common characteristic of a number of proteins, independent of their relation to amyloidoses, and that this potential can be predicted based on the physicochemical properties of these proteins.     

A radish seed antifungal peptide with a high amyloid fibril-forming propensity

The amyloid fibril-forming ability of two closely related antifungal and antimicrobial peptides derived from plant defensin proteins has been investigated. As assessed by sequence analysis, thioflavin T binding, transmission electron microscopy, atomic force microscopy and X-ray fiber diffraction, a 19 amino acid fragment from the C-terminal region of Raphanus sativus antifungal protein, known as RsAFP-19, is highly amyloidogenic. Further, its fibrillar morphology can be altered by externally controlled conditions. Freezing and thawing led to amyloid fibril formation which was accompanied by loss of RsAFP-19 antifungal activity. A second, closely related antifungal peptide displayed no fibril-forming capacity. It is concluded that while fibril formation is not associated with the antifungal properties of these peptides, the peptide RsAFP-19 is of potential use as a controllable, highly amyloidogenic small peptide for investigating the structure of amyloid fibrils and their mechanism of formation.     

Design of model systems for amyloid formation: lessons for prediction and inhibition

The determination of the physico-chemical principles underlying amyloid deposition is fundamental to the identification of therapeutic strategies to prevent or cure amyloid-related disorders. Given the complexity of the molecular events involved in protein self-association, researchers have designed simplified systems that facilitate the discovery of factors that predispose polypeptides to amyloid formation and aggregation. These systems have provided valuable knowledge about the determinants underlying the structural transitions to the polymeric beta-sheet state present in amyloid fibers and in more disordered aggregates. The integration of this knowledge is crucial to the identification of the regions responsible for the amyloidogenic and aggregating behavior of a given protein. The reliable discovery of amyloid-promoting fragments in proteins should have a great impact on the development of anti-amyloid agents. Also, methods that identify aggregation-prone motifs have a broad range of biotechnological applications, such as the improvement of the solubility of recombinant proteins for pharmaceutical and industrial purposes, and peptide-based biomaterial engineering.     

A unifying framework for amyloid-mediated membrane damage: The lipid-chaperone hypothesis

Over the past thirty years, researchers have highlighted the role played by a class of proteins or polypeptides that forms pathogenic amyloid aggregates in vivo, including i) the amyloid Aβ peptide, which is known to form senile plaques in Alzheimer's disease; ii) α-synuclein, responsible for Lewy body formation in Parkinson's disease and iii) IAPP, which is the protein component of type 2 diabetes-associated islet amyloids. These proteins, known as intrinsically disordered proteins (IDPs), are present as highly dynamic conformational ensembles.IDPs can partially (mis) fold into (dys) functional conformations and accumulate as amyloid aggregates upon interaction with other cytosolic partners such as proteins or lipid membranes. In addition, an increasing number of reports link the toxicity of amyloid proteins to their harmful effects on membrane integrity. Still, the molecular mechanism underlying the amyloidogenic proteins transfer from the aqueous environment to the hydrocarbon core of the membrane is poorly understood.This review starts with a historical overview of the toxicity models of amyloidogenic proteins to contextualize the more recent lipid-chaperone hypothesis. Then, we report the early molecular-level events in the aggregation and ion-channel pore formation of Aβ, IAPP, and α-synuclein interacting with model membranes, emphasizing the complexity of these processes due to their different spatial-temporal resolutions. Next, we underline the need for a combined experimental and computational approach, focusing on the strengths and weaknesses of the most commonly used techniques. Finally, the last two chapters highlight the crucial role of lipid-protein complexes as molecular switches among ion-channel-like formation, detergent-like, and fibril formation mechanisms and their implication in fighting amyloidogenic diseases.     

Understanding and controlling amyloid aggregation with chirality

Amyloid aggregation and human disease are inextricably linked. Examples include Alzheimer disease, Parkinson disease, and type II diabetes. While seminal advances on the mechanistic understanding of these diseases have been made over the last decades, controlling amyloid fibril formation still represents a challenge, and it is a subject of active research. In this regard, chiral modifications have increasingly been proved to offer a particularly well-suited approach toward accessing to previously unknown aggregation pathways and to provide with novel insights on the biological mechanisms of action of amyloidogenic peptides and proteins. Here, we summarize recent advances on how the use of mirror-image peptides/proteins and d-amino acid incorporations have helped modulate amyloid aggregation, offered new mechanistic tools to study cellular interactions, and allowed us to identify key positions within the peptide/protein sequence that influence amyloid fibril growth and toxicity.     

Identification of multiple amyloidogenic sequences in laminin-1

Amyloid fibril formation is associated with several pathologies, including Alzheimer's disease, Parkinson's disease, type II diabetes, and prion diseases. Recently, a relationship between basement membrane components and amyloid deposits has been reported. The basement membrane protein, laminin, may be involved in amyloid-related diseases, since laminin is present in amyloid plaques in Alzheimer's disease and binds to amyloid precursor protein. Recently, we showed that peptide A208 (AASIKVAVSADR), the IKVAV-containing peptide, formed amyloid-like fibrils. We previously identified 60 cell adhesive sequences in laminin-1 using a total of 673 12-mer synthetic peptides. Here, we screened for additional amyloidogenic sequences among 60 cell adhesive peptides derived from laminin-1. We first examined amyloid-like fibril formation by the 60 active peptides with Congo red, a histological dye binding to many amyloid-like proteins. Thirteen peptides were stained with Congo red. Four of the 13 peptides promoted cell attachment and neurite outgrowth like the IKVAV-containing peptide. The four peptides also showed amyloid-like fibril formation in both X-ray diffraction and electron microscopic analyses. The amyloidogenic peptides contain consensus amino acid components, including both basic and acidic amino acids and Ser and Ile residues. These results indicate that at least five laminin-derived peptides can form amyloid-like fibrils. We conclude that the laminin-derived amyloidogenic peptides have the potential to form amyloid-like fibrils in vivo, possibly when laminin-1 is degraded.     

Amyloidogenic sequences in native protein structures

Numerous short peptides have been shown to form β‐sheet amyloid aggregates in vitro. Proteins that contain such sequences are likely to be problematic for a cell, due to their potential to aggregate into toxic structures. We investigated the structures of 30 proteins containing 45 sequences known to form amyloid, to see how the proteins cope with the presence of these potentially toxic sequences, studying secondary structure, hydrogen‐bonding, solvent accessible surface area and hydrophobicity. We identified two mechanisms by which proteins avoid aggregation: Firstly, amyloidogenic sequences are often found within helices, despite their inherent preference to form β structure. Helices may offer a selective advantage, since in order to form amyloid the sequence will presumably have to first unfold and then refold into a β structure. Secondly, amyloidogenic sequences that are found in β structure are usually buried within the protein. Surface exposed amyloidogenic sequences are not tolerated in strands, presumably because they lead to protein aggregation via assembly of the amyloidogenic regions. The use of α‐helices, where amyloidogenic sequences are forced into helix, despite their intrinsic preference for β structure, is thus a widespread mechanism to avoid protein aggregation.     

Amyloid fibril formation in the context of full-length protein: effects of proline mutations on the amyloid fibril formation of beta2-microglobulin

Beta2-microglobulin (beta2-m), a typical immunoglobulin domain made of seven beta-strands, is a major component of amyloid fibrils formed in dialysis-related amyloidosis. To understand the mechanism of amyloid fibril formation in the context of full-length protein, we prepared various mutants in which proline (Pro) was introduced to each of the seven beta-strands of beta2-m. The mutations affected the amyloidogenic potential of beta2-m to various degrees. In particular, the L23P, H51P, and V82P mutations significantly retarded fibril extension at pH 2.5. Among these, only L23P is included in the known "minimal" peptide sequence, which can form amyloid fibrils when isolated as a short peptide. This indicates that the residues in regions other than the minimal sequence, such as H51P and V82P, determine the amyloidogenic potential in the full-length protein. To further clarify the mutational effects, we measured their stability against guanidine hydrochloride of the native state at pH 8.0 and the amyloid fibrils at pH 2.5. The amyloidogenicity of mutants showed a significant correlation with the stability of the amyloid fibrils, and little correlation was observed with that of the native state. It has been proposed that the stability of the native state and the unfolding rate to the amyloidogenic precursor as well as the conformational preference of the denatured state determine the amyloidogenicity of the proteins. The present results reveal that, in addition, stability of the amyloid fibrils is a key factor determining the amyloidogenic potential of the proteins.     

Amyloidogenic determinants are usually not buried

Background  

Amyloidoses are a group of usually fatal diseases, probably caused by protein misfolding and subsequent aggregation into amyloid fibrillar deposits. The mechanisms involved in amyloid fibril formation are largely unknown and are the subject of current, intensive research. In an attempt to identify possible amyloidogenic regions in proteins for further experimental investigation, we have developed and present here a publicly available online tool that utilizes five different and independently published methods, to form a consensus prediction of amyloidogenic regions in proteins, using only protein primary structure data.