Neurodegeneration related to Alzheimer's disease has long been linked to the accumulation of abnormal aggregates of amyloid-β (Aβ) peptides. Pre-fibrillar oligomeric intermediates of Aβ aggregation are considered the primary drivers of neurotoxicity, however, their targetting remains an unresolved challenge. In response, the effects of macromolecular components of the blood–brain barrier, artificial extracellular matrix mimics, and polymeric drug delivery particles, on the aggregation of Aβ peptides are gaining interest. Multiple experimental studies have demonstrated the potential of one such macromolecule, chitosan (CHT) – a polysaccharide with acid induced cationicity (p K a 6.5) – to inhibit the aggregation of Aβ, and reduce the associated neurotoxic effects. However, the mechanistic details of this inhibitory action, and the structural details of the emergent Aβ complexes are not understood. In this work, we probed how CHT modulated the aggregation of Aβ's central hydrophobic core fragment, K 16 LVFFAE 22 , using coarse-grained molecular dynamics simulations. CHT was found to bind and sequester Aβ peptides, thus limiting their ultimate aggregation numbers. The intensity of this inhibitory action was enhanced by CHT concentration, as well as CHT's pH-dependent degree of cationicity, corroborating experimental observations. Furthermore, CHT was found to reshape the conformational landscapes of Aβ peptides, enriching collapsed peptides at near-physiological conditions of pH 7.5, and extended peptides at slightly acidic conditions of pH 6.5, where the charge profile of K 16 LVFFAE 22 peptides remained unchanged. These conformational changes were limited to peptides in direct contact in CHT, thus emphasizing the influence of local environments on Aβ conformations. These findings add to basic knowledge of the aggregation behaviour of Aβ peptides, and could potentially guide the development of advanced CHT-based materials for the treatment of Alzheimer's disease.
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Molecular basis for chirality-regulated Aβ self-assembly and receptor recognition revealed by ion mobility-mass spectrometry
Despite extensive efforts on probing the mechanism of Alzheimer’s disease (AD) and enormous investments into AD drug development, the lack of effective disease-modifying therapeutics and the complexity of the AD pathogenesis process suggest a great need for further insights into alternative AD drug targets. Herein, we focus on the chiral effects of truncated amyloid beta (Aβ) and offer further structural and molecular evidence for epitope region-specific, chirality-regulated Aβ fragment self-assembly and its potential impact on receptor-recognition. A multidimensional ion mobility-mass spectrometry (IM-MS) analytical platform and in-solution kinetics analysis reveal the comprehensive structural and molecular basis for differential Aβ fragment chiral chemistry, including the differential and cooperative roles of chiral Aβ N-terminal and C-terminal fragments in receptor recognition. Our method is applicable to many other systems and the results may shed light on the potential development of novel AD therapeutic strategies based on targeting the D-isomerized Aβ, rather than natural L-Aβ.
more » « less- Award ID(s):
- 1710140
- NSF-PAR ID:
- 10153775
- Publisher / Repository:
- Nature Publishing Group
- Date Published:
- Journal Name:
- Nature Communications
- Volume:
- 10
- Issue:
- 1
- ISSN:
- 2041-1723
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Background Amyloid beta peptide (Aβ) is the main component of plaques and is known to play a role in the development of Alzheimer's disease (AD). As a result, structures that can trap Aβ or disrupt the interaction between Aβ and cells have been researched as a way to lessen the pathological effects of Aβ. Particularly, sialylated compounds that exhibit clustering effects could be advantageous.
Results Through the use of 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide chemistry, sialic acid (N-acetylneuraminic acid) was used to decorate a chitosan backbone. The compounds were characterized using Fourier-transform infrared spectroscopy (FTIR) and colorimetric assays. Using the model neuroblastoma cell line SH-SY5Y, the ability of these compounds to lessen the toxicity of Aβ was examined in vitro. Successful in vitro mitigation of Aβ toxicity was found to be critically dependent on the degree of sialylation. In particular, a balance between the degree of sialylation and molecular flexibility was determined to be the criteria as it allows for natural clustering. Additionally, chitosan alone demonstrated low levels of cellular toxicity with moderate levels of toxicity mitigation (comparable to low degrees of labelling).
Conclusions Compounds were successfully produced, and they varied in their effectiveness in reducing Aβ's toxicity to cells in culture. The effect of molecular flexibility and clustering on toxicity mitigation is explained in this work. This shows the potential of polymeric sugars for the creation of AD treatments.
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Growing evidence supports the confident association between distinct amyloid beta (Aβ) isoforms and Alzheimer's Disease (AD) pathogenesis. As such, critical investigations seeking to uncover the translational factors contributing to Aβ toxicity represent a venture of significant value. Herein, we comprehensively assess full-length Aβ42 stereochemistry, with a specific focus on models that consider naturally-occurring isomerization of Asp and Ser residues. We customize various forms of d -isomerized Aβ as natural mimics, ranging from fragments containing a single d residue to full length Aβ42 that includes multiple isomerized residues, systematically evaluating their cytotoxicity against a neuronal cell line. Combining multidimensional ion mobility-mass spectrometry experimental data with replica exchange molecular dynamics simulations, we confirm that co- d -epimerization at Asp and Ser residues within Aβ42 in both N-terminal and core regions effectively reduces its cytotoxicity. We provide evidence that this rescuing effect is associated with the differential and domain-specific compaction and remodeling of Aβ42 secondary structure.more » « less
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Abstract Alzheimer’s disease (AD) manifested before age 65 is commonly referred to as early-onset AD (EOAD) (Reitz et al. Neurol Genet. 2020;6:e512). While the majority (> 90%) of EOAD cases are not caused by autosomal-dominant mutations in
PSEN1 ,PSEN2 , andAPP , they do have a higher heritability (92–100%) than sporadic late-onset AD (LOAD, 70%) (Wingo et al. Arch Neurol. 2012;69:59–64, Fulton-Howard et al. Neurobiol Aging. 2021;99:101.e1–101.e9). Although the endpoint clinicopathological changes, i.e., Aβ plaques, tau tangles, and cognitive decline, are common across EOAD and LOAD, the disease progression is highly heterogeneous (Neff et al. Sci Adv Am Assoc Adv Sci. 2021;7:eabb5398). This heterogeneity, leading to temporally distinct age at onset (AAO) and stages of cognitive decline, may be caused by myriad combinations of distinct disease-associated molecular mechanisms. We and others have used transcriptome profiling in AD patient-derived neuron models of autosomal-dominant EOAD and sporadic LOAD to identify disease endotypes (Caldwell et al. Sci Adv Am Assoc Adv Sci. 2020;6:eaba5933, Mertens et al. Cell Stem Cell. 2021;28:1533–1548.e6, Caldwell et al. Alzheimers Demen. 2022). Further, analyses of large postmortem brain cohorts demonstrate that only one-third of AD patients show hallmark disease endotypes like increased inflammation and decreased synaptic signaling (Neff et al. Sci Adv Am Assoc Adv Sci. 2021;7:eabb5398). Areas of the brain less affected by AD pathology at early disease stages— such as the primary visual cortex— exhibit similar transcriptomic dysregulation as those regions traditionally affected and, therefore, may offer a view into the molecular mechanisms of AD without the associated inflammatory changes and gliosis induced by pathology (Haroutunian et al. Neurobiol Aging. 2009;30:561–73). To this end, we analyzed AD patient samples from the primary visual cortex (19 EOAD, 20 LOAD) using transcriptomic signatures to identify patient clusters and disease endotypes. Interestingly, although the clusters showed distinct combinations and severity of endotypes, each patient cluster contained both EOAD and LOAD cases, suggesting that AAO may not directly correlate with the identity and severity of AD endotypes.
