Derivation of a solubility condition for proteins from an analysis of the competition between folding and aggregation

Failure in maintaining protein solubility in vivo impairs protein homeostasis and results in protein misfolding and aggregation, which are often associated with severe neurodegenerative and systemic disorders that include Alzheimer's and Parkinson's diseases and type II diabetes. In this work we formulate a model of the competition between folding and aggregation, and derive a condition on the solubility of proteins in terms of the stability of their folded states, their aggregation propensities and their degradation rates. From our model, the bistability between folding and aggregation emerges as an intrinsic aspect of protein homeostasis. The analysis of the conditions that determine such a bistability provides a rationalization of the recently observed relationship between the cellular abundance and the aggregation propensity of proteins. We then discuss how the solubility condition that we derive can help rationalise the correlation that has been reported between evolutionary rates and expression levels or proteins, as well as in vivo protein solubility and expression level measurements, and recently elucidated trends of proteome evolution.     

Prevention of amyloid-like aggregation as a driving force of protein evolution

Uncontrolled protein aggregation is a constant challenge in all compartments of living organisms. The failure of a peptide or protein to remain soluble often results in pathology. So far, more than 40 human diseases have been associated with the formation of extracellular fibrillar aggregates - known as amyloid fibrils - or structurally related intracellular deposits. It is well known that molecular chaperones and elaborate quality control mechanisms exist in the cell to counteract aggregation. However, an increasing number of reports during the past few years indicate that proteins have also evolved structural and sequence-based strategies to prevent aggregation. This review describes these strategies and the selection pressures that exist on protein sequences to combat their uncontrolled aggregation. We will describe the different types of mechanism evolved by proteins that adopt different conformational states including normally folded proteins, intrinsically disordered polypeptide chains, elastomeric systems and multimodular proteins.     

Structure-activity relationship of amyloid fibrils

Protein aggregation is a process in which proteins self-associate into imperfectly ordered macroscopic entities. Such aggregates are generally classified as either amorphous or highly ordered, the most common form of the latter being amyloid fibrils. Amyloid fibrils composed of cross-β-sheet structure are the pathological hallmarks of several diseases including Alzheimer’s disease, but are also associated with functional states such as the fungal HET-s prion. This review aims to summarize the recent high-resolution structural studies of amyloid fibrils in light of their (potential) activities. We propose that the repetitive nature of the cross-β-sheet structure of amyloids is key for their multiple properties: the repeating motifs can translate a rather non-specific interaction into a specific one through cooperativity.     

Antimicrobial activity of human islet amyloid polypeptides: an insight into amyloid peptides' connection with antimicrobial peptides

Abstract Human islet amyloid polypeptide (hIAPP) shows an antimicrobial activity towards two types of clinically relevant bacteria. The potency of hIAPP varies with its aggregation states. Circular dichroism was employed to determine the interaction between hIAPP and bacteria lipid membrane mimic. The antimicrobial activity of each aggregate species is associated with their ability to induce membrane disruption. Our findings provide new evidence revealing the antimicrobial activity of amyloid peptide, which suggest a possible connection between amyloid peptides and antimicrobial peptides.     

The method matters: A guide for indicator aggregation in ecological assessments

Ecological assessment requires the integration of many physical, chemical, and/or biological quality elements. The choice of the aggregation method of such partial assessments into an overall assessment can considerably affect the assessment outcome – an issue that has been controversially discussed within the scientific community for the last decade. Current practice often considers only two different aggregation methods, the weighted arithmetic mean (additive aggregation) and the one-out, all-out method (minimum aggregation). However, both have important drawbacks. Additive aggregation compensates a bad status of one quality element by a number of elements featuring good status. Minimum aggregation can lead to overly pessimistic assessment results, since only the quality element in the worst status is considered. Here, we introduce a toolbox containing current and new aggregation methods, demonstrate and discuss their properties with simple, didactical examples, and suggest in which situations best to use them. Then, we illustrate the consequences of selected aggregation schemes for ecological river assessment with the case study of the Swiss Modular Concept of stream assessment (SMC), which we apply to ten river reaches in the Mönchaltdorfer Aa catchment in Switzerland. To be able to do so, we used multi-criteria decision analysis, i.e., multi-attribute value theory, to arrange the SMC quality elements into an objectives hierarchy, and to translate their individual assessments into value functions. Our case study revealed that choosing the most appropriate aggregation method particularly matters, if objectives with significantly different qualities are aggregated. We argue that redundant objectives (i.e., quality elements), often found at the lower levels of the objectives hierarchy, should best be aggregated additively allowing for compensation to increase the statistical significance of the results. Further, we suggest that complementary sub-objectives that often occur at higher levels may be optimally aggregated with a mixture of additive and minimum aggregation. Such a mixed method will allow some compensation, but nevertheless penalize for very bad states. Since here we compare commonly used aggregation methods with some which we believe have never been discussed in an assessment context before, our study concurrently informs ecological assessment in theory and in practice.     

Prevention of thermal aggregation of an allosteric protein by small molecules: some mechanistic insights

Detailed knowledge of conformation and dynamics of native, intermediate and unfolded states of a protein is essential in searching for effective small molecules to prevent its aggregation. In a recent study we have demonstrated how allosteric effectors may influence protein-protein interactions at high temperatures using glutamate dehydrogenase (GDH) as a model allosteric protein. In the present study, thermal aggregation of this well-characterized enzyme was investigated in the presence of a number of amino acids (including Gly, Glu, Trp, Pro, Lys, Arg), polyamines (putrescine and spermidine) and chaperone-like molecules (cyclodextrins and caseins) as non-specific effectors. It was shown that some amino acids and polyamines may suppress aggregation via interaction with native species and may preserve the activity of the enzyme while cyclodextrins and caseins may exert their anti-aggregation potential via binding to aggregation-prone intermediates, without having any capacity to protect its native structure from unfolding. Observations describing the similarities and differences between the specific ligands and non-specific small molecules related to their interaction with native and aggregation-prone states of GDH are presented and discussed. It is argued that the type of studies described in the present communication is useful for the development of effective strategies for prevention of aggregation by small molecules.     

Protein aggregation determinants from a simplified model: cooperative folders resist aggregation

Two-chain aggregation simulations using minimalist models of proteins G, L, and mutants were used to investigate the fundamentals of protein aggregation. Mutations were selected to break up repeats of hydrophobic beads in the sequence while maintaining native topology and folding ability. Data are collected under conditions in which all chain types have similar folded populations and after equilibrating the separated chains to minimize competition between folding and aggregation. Folding cooperativity stands out as the best single-chain determinant under these conditions and for these simple models. It can be experimentally measured by the width of the unfolding transition during thermal denaturation and loosely related to population of intermediate-like states during folding. Additional measures of cooperativity and other properties such as radius of gyration fluctuations and patterning of hydrophobic residues are also examined. Initial contact system states with transition-state characteristics can be identified and are more expanded than average initial contact states. Two-chain minimalist model aggregates are considerably less structured than their native states and have minimal domain-swapping features.     

High pressure, an alternative approach to understand protein misfolding diseases.

Protein folding is essential for the flow of genetic information to biological activity. A failure in this process can result in disease, by causing cell damage and sometimes death. The misfolding of proteins often induces their aggregation, initiating the fibril formation seen in a range of human and animal diseases. Because misfolding and aggregation are of fundamental importance in vivo, there is currently great interest in understanding their mechanisms. To gain insight into the folding and unfolding processes of proteins, for nearly a century, an original biophysical approach has been successfully used: the application of high hydrostatic pressure combined with various spectroscopic and kinetic techniques. Because high pressure provides new insight into protein structure and folding which cannot be obtained by other techniques, the conformations of pressure-induced unfolding intermediates and species involved in the initial states of aggregation of proteins associated with specific diseases are currently being investigated. Our contention is that by exploring folding kinetics, misfolding pathways and stability under pressure, it will be possible to understand the mechanisms of amyloidogenesis, with the ultimate goal to design therapeutic strategies to prevent progression of the disease.     

Role of the Disulfide Bond in Prion Protein Amyloid Formation: A Thermodynamic and Kinetic Analysis

Prion diseases are associated with the structural conversion of prion protein (PrP) to a β-sheet-rich aggregate, PrP^Sc. Previous studies have indicated that a reduction of the disulfide bond linking C179 and C214 of PrP yields an amyloidlike β-rich aggregate in vitro. To gain mechanistic insights into the reduction-induced aggregation, here I characterized how disulfide bond reduction modulates the protein folding/misfolding landscape of PrP, by examining 1) the equilibrium stabilities of the native (N) and aggregated states relative to the unfolded (U) state, 2) the transition barrier separating the U and aggregated states, and 3) the final structure of amyloidlike misfolded aggregates. Kinetic and thermodynamic experiments revealed that disulfide bond reduction decreases the equilibrium stabilities of both the N and aggregated states by ～3 kcal/mol, without changing either the amyloidlike aggregate structure, at least at the secondary structural level, or the transition barrier of aggregation. Therefore, disulfide bond reduction modulates the protein folding/misfolding landscape by entropically stabilizing disordered states, including the U and transition state of aggregation. This also indicates that the equilibrium stability of the N state, but not the transition barrier of aggregation, is the dominant factor determining the reduction-induced aggregation of PrP.     

Aggregation studies on fluorescein-coupled cobra venom phospholipase A2

Phospholipase A2 from Naja naja naja venom (Indian cobra) undergoes a concentration-dependent aggregation, and at an assay concentration of 1 microgram mL-1, it exists as a monomer. However, there is some evidence that the enzyme is actually active as a dimer or higher order aggregate. Previous attempts to determine the aggregation state of the enzyme under actual assay conditions were thwarted by experimental difficulties due in part to the low enzyme concentrations required. This aggregation has now been studied by using fluorescence polarization. The extrinsic probe fluorescein isothiocyanate was coupled to the enzyme to serve as the fluorescence marker. Steady-state polarization measurements were made to determine changes in the aggregation state of the fluorescently tagged enzyme. The phospholipases A2 from Crotalus adamanteus (rattlesnake) and porcine pancreas, whose states of aggregation are known, were also labeled with fluorescein isothiocyanate and used as controls. It was found that the divalent metal ions Ca2+, a phospholipase cofactor, and Ba2+, an inhibitor, caused an increase in the cobra venom enzyme polarization, while Mn2+, Mg2+, and Co2+ did not. The water-soluble substrate diheptanoylphosphatidylcholine and the lipid analogue dodecylphosphocholine, when present below their respective critical micelle concentrations, also increased the polarization of the phospholipase-fluorescein conjugate. Thus, both cofactor and substrate caused an increase in the polarization, which implies an increase in the aggregation state. It is concluded that under assay conditions the phospholipase A2 exists in an aggregated form.     

Metastable, partially folded states in the productive folding and in the misfolding and amyloid aggregation of proteins

Understanding the energetic and structural basis of protein folding in a physiological context may represent an important step toward the elucidation of protein misfolding and aggregation events that take place in several pathological states. In particular, investigation of the structure and thermodynamic properties of partially folded intermediate states involved in productive folding or in misfolding/aggregation may provide insight into these processes and suggest novel approaches to prevent misfolding in living organisms. This goal, however, has remained elusive, because such intermediates are often transient and correspond to metastable states that are little populated under physiological conditions. Characterization of these states requires their stabilization by means of manipulation of the experimental conditions, involving changes in temperature, pH, or addition of different types of denaturants. In the past few years, hydrostatic pressure has been increasingly used as a thermodynamic variable in the study of both protein folding and misfolding/aggregation transitions. Compared with other chemical or physical denaturing agents, a unique feature of pressure is its ability to induce subtle changes in protein conformation, allowing the stabilization of partially folded states that are usually not significantly populated under more drastic conditions. Much of the recent work in this field has focused on the characterization of folding intermediates, because they seem to be involved in a variety of disease-causing protein misfolding and aggregation reactions. Here, we review recent examples of the use of hydrostatic pressure as a tool to gain insight into the forces and energetics governing the productive folding or the misfolding and amyloid aggregation of proteions.     

The extracellular chaperone clusterin potently inhibits human lysozyme amyloid formation by interacting with prefibrillar species

We have studied the effects of the extracellular molecular chaperone, clusterin, on the in vitro aggregation of mutational variants of human lysozyme, including one associated with familial amyloid disease. The aggregation of the amyloidogenic variant I56T is inhibited significantly at clusterin to lysozyme ratios as low as 1:80 (i.e. one clusterin molecule per 80 lysozyme molecules). Experiments indicate that under the conditions where inhibition of aggregation occurs, clusterin does not bind detectably to the native or fibrillar states of lysozyme, or to the monomeric transient intermediate known to be a key species in the aggregation reaction. Rather, it seems to interact with oligomeric species that are present at low concentrations during the lag (nucleation) phase of the aggregation reaction. This behavior suggests that clusterin, and perhaps other extracellular chaperones, could have a key role in curtailing the potentially pathogenic effects of the misfolding and aggregation of proteins that, like lysozyme, are secreted into the extracellular environment.     

How cooperative are protein folding and unfolding transitions?

A thermodynamically and kinetically simple picture of protein folding envisages only two states, native (N) and unfolded (U), separated by a single activation free energy barrier, and interconverting by cooperative two‐state transitions. The folding/unfolding transitions of many proteins occur, however, in multiple discrete steps associated with the formation of intermediates, which is indicative of reduced cooperativity. Furthermore, much advancement in experimental and computational approaches has demonstrated entirely non‐cooperative (gradual) transitions via a continuum of states and a multitude of small energetic barriers between the N and U states of some proteins. These findings have been instrumental towards providing a structural rationale for cooperative versus noncooperative transitions, based on the coupling between interaction networks in proteins. The cooperativity inherent in a folding/unfolding reaction appears to be context dependent, and can be tuned via experimental conditions which change the stabilities of N and U. The evolution of cooperativity in protein folding transitions is linked closely to the evolution of function as well as the aggregation propensity of the protein. A large activation energy barrier in a fully cooperative transition can provide the kinetic control required to prevent the accumulation of partially unfolded forms, which may promote aggregation. Nevertheless, increasing evidence for barrier‐less “downhill” folding, as well as for continuous “uphill” unfolding transitions, indicate that gradual non‐cooperative processes may be ubiquitous features on the free energy landscape of protein folding.     

Thermal unfolding and aggregation of actin

Actin is one of the most abundant proteins in nature. It is found in all eukaryotes and plays a fundamental role in many diverse and dynamic cellular processes. Also, actin is one of the most ubiquitous proteins because actin-like proteins have recently been identified in bacteria. Actin filament (F-actin) is a highly dynamic structure that can exist in different conformational states, and transitions between these states may be important in cytoskeletal dynamics and cell motility. These transitions can be modulated by various factors causing the stabilization or destabilization of actin filaments. In this review, we look at actin stabilization and destabilization as expressed by changes in the thermal stability of actin; specifically, we summarize and analyze the existing data on the thermal unfolding of actin as measured by differential scanning calorimetry. We also analyze in vitro data on the heat-induced aggregation of actin, the process that normally accompanies actin thermal denaturation. In this respect, we focus on the effects of small heat shock proteins, which can prevent the aggregation of thermally denatured actin with no effect on actin thermal unfolding. As a result, we have proposed a mechanism describing the thermal denaturation and aggregation of F-actin. This mechanism explains some of the special features of the thermal unfolding of actin filaments, including the effects of their stabilization and destabilization; it can also explain how small heat shock proteins protect the actin cytoskeleton from damage caused by the accumulation of large insoluble aggregates under heat shock conditions.     

Blood platelet aggregation and personality traits.

Changes in blood platelet aggregation may precipitate episodes of arterial occlusive diseases. Little is known, however, regarding the influence of psychological traits, emotional states and other behavioral stressors on platelet aggregation phenomena. This study examined 46 healthy college men at rest and after submaximal treadmill exercise. Associations were found between the duration of platelet aggregation and a number of scores from the California Psychological Inventory and self-administered anxiety scales. The more socially adequate, poised and dominant persons--those with more mature ego development and less overt anxiety--had platelets with more prolonged aggregation reactions to the in vitro introduction of noradrenalin. Irreversible aggregation of platelets occurred more regularly to lower in vitro concentrations of noradrenalin in platelet samples drawn from subjects who were less anxious and tended to be more rigidly defensive. It is premature to attempt to derive clinical implications from this exploratory work, but some implications for the design of future research are discussed.     

Conformation-dependent antibodies target diseases of protein misfolding

Many degenerative diseases are fundamentally associated with aging and the accumulation of misfolded proteins as amyloid fibrils. Although such diseases are associated with different proteins, they share several pathological features. These similarities might be due to underlying commonalities in the pathway of aggregation and the structures of the various aggregation products. Because protein misfolding is thought to be central to the pathological state, it is essential to be able to distinguish such pathological states from native and non-pathological states, especially in vivo or in complex mixtures. Conformation-dependent antibodies that specifically recognize misfolded proteins are proving to be useful tools for examining the mechanisms of amyloid formation and for clarifying the roles of various misfolded states in pathogenesis. The common structures and mechanisms hold promise for the development of broad-spectrum drugs and vaccines that will be effective for the treatment of many of these diseases.     

Risk factors evaluation in some cardiovascular diseases

Cardiovascular risk factors are associated with limitations of blood fluidity. Rheological behaviour of blood in transient flow may result from the internal organization, which in turn depends upon many parameters, which may be considered as possible elements of a profiling algorithm for diagnostic and prognostic values in various pathophysiological states. This study was designed to investigate haemorheological parameters in patients being treated for hypertension, coronary heart disease and myocardial infarct. On the basis of plasma viscosity, whole blood viscosity, haematocrit, red cell aggregation and red cell deformation, the risk was evaluated. In cases of hypertension there was a significant rise in plasma viscosity, whole blood viscosity, red cell aggregation and a fall in red cell deformability. In cases of coronary disease, plasma viscosity and red cell aggregation was increased, while in patients with myocardial infarcts, where the degree of severity is greater it was found that there was a significant rise in both plasma and whole blood viscosity. Haematocrit values were unaffected in all three groups.     

Using an NMR metabolomics approach to investigate the pathogenicity of amyloid-beta and alpha-synuclein

Introduction

The pathogenicity at differing points along the aggregation pathway of many fibril-forming proteins associated with neurodegenerative diseases is unclear. Understanding the effect of different aggregation states of these proteins on cellular processes is essential to enhance understanding of diseases and provide future options for diagnosis and therapeutic intervention.

Objectives

To establish a robust method to probe the metabolic changes of neuronal cells and use it to monitor cellular response to challenge with three amyloidogenic proteins associated with neurodegenerative diseases in different aggregation states.

Method

Neuroblastoma SH-SY5Y cells were employed to design a robust routine system to perform a statistically rigorous NMR metabolomics study into cellular effects of sub-toxic levels of alpha-synuclein, amyloid-beta 40 and amyloid-beta 42 in monomeric, oligomeric and fibrillar conformations.

Results

This investigation developed a rigorous model to monitor intracellular metabolic profiles of neuronal cells through combination of existing methods. This model revealed eight key metabolites that are altered when neuroblastoma cells are challenged with proteins in different aggregation states. Metabolic pathways associated with lipid metabolism, neurotransmission and adaptation to oxidative stress and inflammation are the predominant contributors to the cellular variance and intracellular metabolite levels. The observed metabolite changes for monomer and oligomer challenge may represent cellular effort to counteract the pathogenicity of the challenge, whereas fibrillar challenge is indicative of system shutdown. This implies that although markers of stress are more prevalent under oligomeric challenge the fibrillar response suggests a more toxic environment.

Conclusion

This approach is applicable to any cell type that can be cultured in a laboratory (primary or cell line) as a method of investigating how protein challenge affects signalling pathways, providing additional understanding as to the role of protein aggregation in neurodegenerative disease initiation and progression.

     

Comparative Fourier transform infrared spectroscopy study of cold-, pressure-, and heat-induced unfolding and aggregation of myoglobin

We studied the cold unfolding of myoglobin with Fourier transform infrared spectroscopy and compared it with pressure and heat unfolding. Because protein aggregation is a phenomenon with medical as well as biotechnological implications, we were interested in both the structural changes as well as the aggregation behavior of the respective unfolded states. The cold- and pressure-induced unfolding both yield a partially unfolded state characterized by a persistent amount of secondary structure, in which a stable core of G and H helices is preserved. In this respect the cold- and pressure-unfolded states show a resemblance with an early folding intermediate of myoglobin. In contrast, the heat unfolding results in the formation of the infrared bands typical of intermolecular antiparallel beta-sheet aggregation. This implies a transformation of alpha-helix into intermolecular beta-sheet. H/2H-exchange data suggest that the helices are first unfolded and then form intermolecular beta-sheets. The pressure and cold unfolded states do not give rise to the intermolecular aggregation bands that are typical for the infrared spectra of many heat-unfolded proteins. This suggests that the pathways of the cold and pressure unfolding are substantially different from that of the heat unfolding. After return to ambient conditions the cold- or pressure-treated proteins adopt a partially refolded conformation. This aggregates at a lower temperature (32 degrees C) than the native state (74 degrees C).