Structure and Dynamics of Small Soluble Aβ(1–40) Oligomers Studied by Top-Down Hydrogen Exchange Mass Spectrometry
Bibliographic record
Abstract
Aβ peptides can assemble into amyloid fibrils, which represent one of the hallmarks of Alzheimer's disease. Recent studies, however, have focused on the behavior of small soluble Aβ oligomers that possess a much greater neurotoxicity than mature fibrils. The structural characterization of these oligomers remains difficult because of their highly dynamic and polymorphic nature. This work explores the behavior of Aβ(1-40) in a slightly basic solution (pH 9.3) at a low salt concentration (10 mM ammonium acetate). These conditions lead to the formation of small oligomers, without any signs of fibrillation for several hours. The structure and dynamics of these oligomers were characterized by circular dichroism spectroscopy, size exclusion chromatography, and millisecond time-resolved hydrogen exchange mass spectrometry (MS). Our results reveal rapid interconversion between Aβ(1-40) oligomers and monomers. The mole fraction of monomeric molecules is on the order of 40%. Oligomers consist of ~4 Aβ(1-40) molecules on average, and the resulting assemblies have a predominantly β-sheet secondary structure. Hydrogen exchange proceeds in the EX1 regime. This feature allows the application of conformer-specific top-down MS. Electron capture dissociation is used for interrogating the deuteration behavior of the Aβ(1-40) oligomers. This approach provides a spatial resolution of ~2 residues. The backbone amide deuteration pattern uncovered in this way is consistent with a β-turn-β motif for L17-M35. The N-terminus is involved in hydrogen bonding, as well, whereas protection gradually tapers off for C-terminal residues 35-40. Our data are consistent with earlier proposals, according to which Aβ(1-40) oligomers adopt a β-barrel structure. In general terms, this study demonstrates how top-down MS with precursor ion selection can be employed for structural studies of specific protein conformers within a heterogeneous mix.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".