Nonsteroidal anti-inflammatory drug naproxen destabilizes Aβ amyloid fibrils: a molecular dynamics investigation

Small Peptides for Inhibiting Serum Amyloid A Aggregation

Deposition of human serum amyloid A (SAA) amyloids in blood vessels, causing inflammation, thrombosis, and eventually organ damage, is commonly seen as a consequence of certain cancers and inflammatory diseases and may also be a risk after SARS-COV-2 infections. Several attempts have been made to develop peptide-based drugs that inhibit or at least slow down SAA amyloidosis. We use extensive all-atom molecular dynamic simulations to compare three of these drug candidates for their ability to destabilize SAA fibrils and to propose for the best candidate, the N-terminal sequence SAA1-5, a mechanism for inhibition. As the lifetime of peptide drugs can be increased by replacing l-amino acids with their mirror d-amino acids, we have also studied corresponding d-peptides. We find that DRI-SAA1-5, formed of d-amino acids with the sequence of the peptide reversed, has similar inhibitory properties compared to the original l-peptide and therefore may be a promising candidate for drugs targeting SAA amyloidosis.

Effects of Ions and Small Compounds on the Structure of Aβ42 Monomers

Aggregation of amyloid-β (Aβ) proteins in the brain is a hallmark of Alzheimer's disease. This phenomenon can be promoted or inhibited by adding small molecules to the solution where Aβ is embedded. These molecules affect the ensemble of conformations sampled by Aβ monomers even before aggregation starts. Here, we perform extensive all-atom replica exchange molecular dynamics (REMD) simulations to provide a comparative study of the ensemble of conformations sampled by Aβ₄₂ monomers in solutions that promote (i.e., aqueous solution containing NaCl) and inhibit (i.e., aqueous solutions containing scyllo-inositol or 4-aminophenol) aggregation. Simulations performed in pure water are used as our reference. We find that secondary-structure content is only affected in an antagonistic manner by promoters and inhibitors at the C-terminus and the central hydrophilic core. Moreover, the end of the C-terminus binds more favorably to the central hydrophobic core region of Aβ₄₂ in NaCl adopting a type of strand-loop-strand structure that is disfavored by inhibitors. Nonpolar residues that form the dry core of larger aggregates of Aβ₄₂ (e.g., PDB ID 2BEG) are found at close proximity in these strand-loop-strand structures, suggesting that their formation could play an important role in initiating nucleation. In the presence of inhibitors, the C-terminus binds the central hydrophilic core with a higher probability than in our reference simulation. This sensitivity of the C-terminus, which is affected in an antagonistic manner by inhibitors and promoters, provides evidence for its critical role in accounting for aggregation.

Destabilization of Alzheimer's Aβ42 protofibrils with acyclovir, carmustine, curcumin, and tetracycline: insights from molecular dynamics simulations

Among the neurodegenerative diseases, one of the most common dementia is Alzheimer's disease (AD).

Design of peptide-based inhibitor agent against amyloid-β aggregation: Molecular docking, synthesis and in vitro evaluation

Formation of the amyloid beta (Aβ) peptide aggregations represents an indispensable role in appearing and progression of Alzheimer disease. β-sheet breaker peptides can be designed and modified with different amino acids in order to improve biological properties and binding affinity to the amyloid beta peptide. In the present study, three peptide sequences were designed based on the hopeful results of LIAIMA peptide and molecular docking studies were carried out onto the monomer and fibril structure of amyloid beta peptide using AutoDock Vina software. According to the obtained interactions and binding energy from docking, the best-designed peptide (d-GABA-FPLIAIMA) was chosen and synthesized in great yield (%96) via the Fmoc solid-phase peptide synthesis. The synthesis and purity of the resulting peptide were estimated and evaluated by Mass spectroscopy and Reversed-phase high-performance liquid chromatography (RP-HPLC) methods, respectively. Stability studies in plasma and Thioflavin T (ThT) assay were performed in order to measure the binding affinity and in vitro aggregation inhibition of Aβ peptide. The d-GABA-FPLIAIMA peptide showed good binding energy and affinity to Aβ fibrils, high stability (more than 90%) in human serum, and a reduction of 20% in inhibition of the Aβ aggregation growth. Finally, the favorable characteristics of our newly designed peptide make it a promising candidate β-sheet breaker agent for further in vivo studies.

Binding Modes of a Glycopeptidomimetic Molecule on Aβ Protofibrils: Implication for Its Inhibition Mechanism

We recently reported that a glycopeptidomimetic molecule significantly delays the fibrillization process of Aβ₄₂ peptide involved in Alzheimer's disease. However, the binding mode of this compound, named 3β, was not determined at the atomic scale, hindering our understanding of its mechanism of action and impeding structure-based design of new inhibitors. In the present study, we performed molecular docking calculations and molecular dynamics simulations to investigate the most probable structures of 3β complexed with Aβ protofibrils. Our results show that 3β preferentially binds to an area of the protofibril surface that coincides with the protofibril dimerization interface observed in the solid-state NMR structure 5KK3 from the PDB. Based on these observations, we propose a model of the inhibition mechanism of Aβ fibrillization by compound 3β.

Mechanism by which DHA inhibits the aggregation of KLVFFA peptides: A molecular dynamics study

Docosahexaenoic acid (DHA) is one of the omega-3 polyunsaturated fatty acids, which has shown promising applications in lowering Aβ peptide neurotoxicity in vitro by preventing aggregation of Aβ peptides and relieving accumulation of Aβ fibrils. Unfortunately, the underlying molecular mechanisms of how DHA interferes with the aggregation of Aβ peptides remain largely enigmatic. Herein, aggregation behaviors of amyloid-β(Aβ)_16-21 peptides (KLVFFA) with or without the presence of a DHA molecule were comparatively studied using extensive all-atom molecular dynamics simulations. We found that DHA could effectively suppress the aggregation of KLVFFA peptides by redirecting peptides to unstructured oligomers. The highly hydrophobic and flexible nature of DHA made it randomly but tightly entangled with Leu-17, Phe-19, and Phe-20 residues to form unstructured but stable complexes. These lower-ordered unstructured oligomers could eventually pass through energy barriers to form ordered β-sheet structures through large conformational fluctuations. This study depicts a microscopic picture for understanding the role and mechanism of DHA in inhibition of aggregation of Aβ peptides, which is generally believed as one of the important pathogenic mechanisms of Alzheimer's disease.

Amphiphilic naproxen prodrugs: differential scanning calorimetry study on their interaction with phospholipid bilayers†

Objectives

Naproxen, a nonsteroid anti-inflammatory drug studied for Alzheimer's disease, was conjugated with lipoamino acids (LAA) directly or through a diethylamine (EDA) spacer to improve the drug lipophilicity and the interaction with phospholipid bilayers.

Methods

The interaction of naproxen and its prodrugs with biomembrane models consisting of dimyristoylphosphatidylcholine multilamellar vesicles was studied by differential scanning calorimetry. The transfer of prodrugs from a lipophilic carrier to a biomembrane model was also studied.

Key findings

Naproxen conjugation to lipoamino acids improves its interaction with biomembrane models and affects the transfer from a lipophilic carrier to biomembrane model. LAA portion may localize between the phospholipid chains; the entity of the interaction depends not only on the presence of the spacer but also on the LAA chain length.

Conclusions

Variation of LAA portion can modulate the naproxen prodrugs affinity towards the biological membrane as well as towards the lipophilic carrier.

The role of molecular simulations in the development of inhibitors of amyloid β-peptide aggregation for the treatment of Alzheimer's disease

The pathogenic aggregation of the amyloid β-peptide (Aβ) is considered a hallmark of the progression of Alzheimer's disease, the leading cause of senile dementia in the elderly and one of the principal causes of death in the United States. In the absence of effective therapeutics, the incidence and economic burden associated with the disease are expected to rise dramatically in the coming decades. Targeting Aβ aggregation is an attractive therapeutic approach, though structural insights into the nature of Aβ aggregates from traditional experiments are elusive, making drug design difficult. Theoretical methods have been used for several years to augment experimental work and drive progress forward in Alzheimer's drug design. In this Review, we will describe how two common techniques, molecular docking and molecular dynamics simulations, are being applied in developing small molecules as effective therapeutics against monomeric, oligomeric, and fibrillated forms of Aβ. Recent successes and important limitations will be discussed, and we conclude by providing a perspective on the future of this field by citing recent examples of sophisticated approaches used to better characterize interactions of small molecules with Aβ and other amyloidogenic proteins.

Curcumin binds to Aβ1-40 peptides and fibrils stronger than ibuprofen and naproxen

Binding of curcumin, naproxen, and ibuprofen to Aβ1-40 peptide and its fibrils is studied by docking method and all-atom molecular dynamics simulations. The Gromos96 43a1 force field and simple point charge model of water have been used for molecular dynamics simulations. It is shown that if the receptor is a monomer then naproxen and ibuprofen are bound to the same place that is different from the binding position of curcumin. However all of three ligands have the same binding pocket in fibrillar structures. The binding mechanism is studied in detail showing that the van der Waals interaction between ligand and receptor dominates over the electrostatic interaction. The binding free energies obtained by the molecular mechanic-Poisson-Boltzmann surface area method indicate that curcumin displays higher binding affinity than nonsteroidal anti-inflammatory drugs. Our results are in good agreement with the experiments.

Identification of small molecule inhibitors of neurite loss induced by Aβ peptide using high content screening

Multiple lines of evidence indicate a strong relationship between Αβ peptide-induced neurite degeneration and the progressive loss of cognitive functions in Alzheimer disease (AD) patients and in AD animal models. This prompted us to develop a high content screening assay (HCS) and Neurite Image Quantitator (NeuriteIQ) software to quantify the loss of neuronal projections induced by Aβ peptide neurons and enable us to identify new classes of neurite-protective small molecules, which may represent new leads for AD drug discovery. We identified thirty-six inhibitors of Aβ-induced neurite loss in the 1,040-compound National Institute of Neurological Disorders and Stroke (NINDS) custom collection of known bioactives and FDA approved drugs. Activity clustering showed that non-steroidal anti-inflammatory drugs (NSAIDs) were significantly enriched among the hits. Notably, NSAIDs have previously attracted significant attention as potential drugs for AD; however their mechanism of action remains controversial. Our data revealed that cyclooxygenase-2 (COX-2) expression was increased following Aβ treatment. Furthermore, multiple distinct classes of COX inhibitors efficiently blocked neurite loss in primary neurons, suggesting that increased COX activity contributes to Aβ peptide-induced neurite loss. Finally, we discovered that the detrimental effect of COX activity on neurite integrity may be mediated through the inhibition of peroxisome proliferator-activated receptor γ (PPARγ) activity. Overall, our work establishes the feasibility of identifying small molecule inhibitors of Aβ-induced neurite loss using the NeuriteIQ pipeline and provides novel insights into the mechanisms of neuroprotection by NSAIDs.

Disordered binding of small molecules to Aβ(12-28)

In recent years, an increasing number of small molecules and short peptides have been identified that interfere with aggregation and/or oligomerization of the Alzheimer β-amyloid peptide (Aβ). Many of them possess aromatic moieties, suggesting a dominant role for those in interacting with Aβ along various stages of the aggregation process. In this study, we attempt to elucidate whether interactions of such aromatic inhibitors with monomeric Aβ(12-28) point to a common mechanism of action by performing atomistic molecular dynamics simulations at equilibrium. Our results suggest that, independently of the presence of inhibitors, monomeric Aβ(12-28) populates a partially collapsed ensemble that is largely devoid of canonical secondary structure at 300 K and neutral pH. The small molecules have different affinities for Aβ(12-28) that can be partially rationalized by the balance of aromatic and charged moieties constituting the molecules. There are no predominant binding modes, although aggregation inhibitors preferentially interact with the N-terminal portion of the fragment (residues 13-20). Analysis of the free energy landscape of Aβ(12-28) reveals differences highlighted by altered populations of a looplike conformer in the presence of inhibitors. We conclude that intrinsic disorder of Aβ persists at the level of binding small molecules and that inhibitors can significantly alter properties of monomeric Aβ via multiple routes of differing specificity.

Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches

The recognition process between a protein and a partner represents a significant theoretical challenge. In silico structure-based drug design carried out with nothing more than the three-dimensional structure of the protein has led to the introduction of many compounds into clinical trials and numerous drug approvals. Central to guiding the discovery process is to recognize active among non-active compounds. While large-scale computer simulations of compounds taken from a library (virtual screening) or designed de novo are highly desirable in the post-genomic area, many technical problems remain to be adequately addressed. This article presents an overview and discusses the limits of current computational methods for predicting the correct binding pose and accurate binding affinity. It also presents the performances of the most popular algorithms for exploring binary and multi-body protein interactions.

Naproxen interferes with the assembly of Aβ oligomers implicated in Alzheimer's disease

Experimental and epidemiological studies have shown that the nonsteroidal antiinflammatory drug naproxen may be useful in the treatment of Alzheimer's disease. To investigate the interactions of naproxen with Aβ dimers, which are the smallest cytotoxic aggregated Aβ peptide species, we use united atom implicit solvent model and exhaustive replica exchange molecular dynamics. We show that naproxen ligands bind to Aβ dimer and penetrate its volume interfering with the interpeptide interactions. As a result naproxen induces a destabilizing effect on Aβ dimer. By comparing the free-energy landscapes of naproxen interactions with Aβ dimers and fibrils, we conclude that this ligand has stronger antiaggregation potential against Aβ fibrils rather than against dimers. The analysis of naproxen binding energetics shows that the location of ligand binding sites in Aβ dimer is dictated by the Aβ amino acid sequence. Comparison of the in silico findings with experimental observations reveals potential limitations of naproxen as an effective therapeutic agent in the treatment of Alzheimer's disease.