The Binding of Different Substrate Molecules at the Docking Site and the Active Site of γ-Secretase Can Trigger Toxic Events in Sporadic and Familial Alzheimer's Disease.

Pathogenic changes in γ-secretase activity, along with its response to different drugs, can be affected by changes in the saturation of γ-secretase with its substrate. We analyze the saturation of γ-secretase with its substrate using multiscale molecular dynamics studies. We found that an increase in the saturation of γ-secretase with its substrate could result in the parallel binding of different substrate molecules at the docking site and the active site. The C-terminal domain of the substrate bound at the docking site can interact with the most dynamic presenilin sites at the cytosolic end of the active site tunnel. Such interactions can inhibit the ongoing catalytic activity and increase the production of the longer, more hydrophobic, and more toxic Aß proteins. Similar disruptions in dynamic presenilin structures can be observed with different drugs and disease-causing mutations. Both, C99-ßCTF-APP substrate and its different Aß products, can support the toxic aggregation. The aggregation depends on the substrate N-terminal domain. Thus, the C99-ßCTF-APP substrate and ß-secretase path can be more toxic than the C83-αCTF-APP substrate and α-secretase path. Nicastrin can control the toxic aggregation in the closed conformation. The binding of the C99-ßCTF-APP substrate to γ-secretase can be controlled by substrate channeling between the nicastrin and ß-secretase. We conclude that the presented two-substrate mechanism could explain the pathogenic changes in γ-secretase activity and Aß metabolism in different sporadic and familial cases of Alzheimer's disease. Future drug-development efforts should target different cellular mechanisms that regulate the optimal balance between γ-secretase activity and amyloid metabolism.

Residue-specific binding of Ni(II) ions influences the structure and aggregation of amyloid beta (Aß) peptides.

Alzheimer's disease (AD) is the most common cause of dementia worldwide. AD brains display deposits of insoluble amyloid plaques consisting mainly of aggregated amyloid-ß (Aß) peptides, and Aß oligomers are likely a toxic species in AD pathology. AD patients display altered metal homeostasis, and AD plaques show elevated concentrations of metals such as Cu, Fe, and Zn. Yet, the metal chemistry in AD pathology remains unclear. Ni(II) ions are known to interact with Aß peptides, but the nature and effects of such interactions are unknown. Here, we use numerous biophysical methods-mainly spectroscopy and imaging techniques-to characterize Aß/Ni(II) interactions in vitro, for different Aß variants: Aß(1-40), Aß(1-40)(H6A, H13A, H14A), Aß(4-40), and Aß(1-42). We show for the first time that Ni(II) ions display specific binding to the N-terminal segment of full-length Aß monomers. Equimolar amounts of Ni(II) ions retard Aß aggregation and direct it towards non-structured aggregates. The His6, His13, and His14 residues are implicated as binding ligands, and the Ni(II)·Aß binding affinity is in the low µM range. The redox-active Ni(II) ions induce formation of dityrosine cross-links via redox chemistry, thereby creating covalent Aß dimers. In aqueous buffer Ni(II) ions promote formation of beta sheet structure in Aß monomers, while in a membrane-mimicking environment (SDS micelles) coil-coil helix interactions appear to be induced. For SDS-stabilized Aß oligomers, Ni(II) ions direct the oligomers towards larger sizes and more diverse (heterogeneous) populations. All of these structural rearrangements may be relevant for the Aß aggregation processes that are involved in AD brain pathology.

Modeling difference x-ray scattering observations from an integral membrane protein within a detergent micelle.

Time-resolved x-ray solution scattering (TR-XSS) is a sub-field of structural biology, which observes secondary structural changes in proteins as they evolve along their functional pathways. While the number of distinct conformational states and their rise and decay can be extracted directly from TR-XSS experimental data recorded from light-sensitive systems, structural modeling is more challenging. This step often builds from complementary structural information, including secondary structural changes extracted from crystallographic studies or molecular dynamics simulations. When working with integral membrane proteins, another challenge arises because x-ray scattering from the protein and the surrounding detergent micelle interfere and these effects should be considered during structural modeling. Here, we utilize molecular dynamics simulations to explicitly incorporate the x-ray scattering cross term between a membrane protein and its surrounding detergent micelle when modeling TR-XSS data from photoactivated samples of detergent solubilized bacteriorhodopsin. This analysis provides theoretical foundations in support of our earlier approach to structural modeling that did not explicitly incorporate this cross term and improves agreement between experimental data and theoretical predictions at lower x-ray scattering angles.

Lipidic cubic phase serial femtosecond crystallography structure of a photosynthetic reaction centre.

Serial crystallography is a rapidly growing method that can yield structural insights from microcrystals that were previously considered to be too small to be useful in conventional X-ray crystallography. Here, conditions for growing microcrystals of the photosynthetic reaction centre of Blastochloris viridis within a lipidic cubic phase (LCP) crystallization matrix that employ a seeding protocol utilizing detergent-grown crystals with a different crystal packing are described. LCP microcrystals diffracted to 2.25 Šresolution when exposed to XFEL radiation, which is an improvement of 0.15 Šover previous microcrystal forms. Ubiquinone was incorporated into the LCP crystallization media and the resulting electron density within the mobile QB pocket is comparable to that of other cofactors within the structure. As such, LCP microcrystallization conditions will facilitate time-resolved diffraction studies of electron-transfer reactions to the mobile quinone, potentially allowing the observation of structural changes associated with the two electron-transfer reactions leading to complete reduction of the ubiquinone ligand.

Templating S100A9 amyloids on Aß fibrillar surfaces revealed by charge detection mass spectrometry, microscopy, kinetic and microfluidic analyses.

The mechanism of amyloid co-aggregation and its nucleation process are not fully understood in spite of extensive studies. Deciphering the interactions between proinflammatory S100A9 protein and Aß42 peptide in Alzheimer's disease is fundamental since inflammation plays a central role in the disease onset. Here we use innovative charge detection mass spectrometry (CDMS) together with biophysical techniques to provide mechanistic insight into the co-aggregation process and differentiate amyloid complexes at a single particle level. Combination of mass and charge distributions of amyloids together with reconstruction of the differences between them and detailed microscopy reveals that co-aggregation involves templating of S100A9 fibrils on the surface of Aß42 amyloids. Kinetic analysis further corroborates that the surfaces available for the Aß42 secondary nucleation are diminished due to the coating by S100A9 amyloids, while the binding of S100A9 to Aß42 fibrils is validated by a microfluidic assay. We demonstrate that synergy between CDMS, microscopy, kinetic and microfluidic analyses opens new directions in interdisciplinary research.

Pro-Inflammatory S100A9 Protein Aggregation Promoted by NCAM1 Peptide Constructs.

Amyloid cascade and neuroinflammation are hallmarks of neurodegenerative diseases, and pro-inflammatory S100A9 protein is central to both of them. Here, we have shown that NCAM1 peptide constructs carrying polycationic sequences derived from Aß peptide (KKLVFF) and PrP protein (KKRPKP) significantly promote the S100A9 amyloid self-assembly in a concentration-dependent manner by making transient interactions with individual S100A9 molecules, perturbing its native structure and acting as catalysts. Since the individual molecule misfolding is a rate-limiting step in S100A9 amyloid aggregation, the effects of the NCAM1 construct on the native S100A9 are so critical for its amyloid self-assembly. S100A9 rapid self-assembly into large aggregated clumps may prevent its amyloid tissue propagation, and by modulating S100A9 aggregation as a part of the amyloid cascade, the whole process may be effectively tuned.