Evidence map›Paper›PMID 40378310›Full record

ArticleACS chemical neuroscience2025

Mass-Spectrometry-Based GEE Footprinting Characterizes Kinetic Mechanisms and Sites of Conformational Change in Amyloid β 1-42 Aggregation.

Xinyi Cynthia Kuang, Don L Rempel, Yanchun Lin, Michael L Gross

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xinyi Cynthia KuangDepartment of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Don L RempelDepartment of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0001-9791-0999
Yanchun LinDepartment of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Michael L GrossDepartment of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0003-1159-4636

Funding

A Biomedical Mass Spectrometry Resource: Ongoing Driving Biomedical ProjectsR24GM136766 · NIGMS · WASHINGTON UNIVERSITY · PI GROSS, MICHAEL L · 2020 to 2022
$2.3M
Mass Spectrometry-Based Protein Footprinting: A New Tool for Amyloid Protein AggregationR01AG079283 · NIA · WASHINGTON UNIVERSITY · PI MICHAEL L GROSS · 2024 to 2026
$2.2M
NIA NIH HHS R01 AG079283NIGMS NIH HHS R24 GM136766
6 · The paper itself

Abstract

Understanding the dynamics of Aβ aggregation is critical for elucidating Alzheimer's disease (AD) progression. This study extends our previous work on Aβ42 using fast photochemical oxidation of proteins (FPOP) and pulsed hydrogen-deuterium exchange and introduces mass spectrometry (MS)-based glycine ethyl ester (GEE) footprinting, combined with kinetic modeling, to characterize Aβ42 conformational changes and elucidate polymer populations along its aggregation pathways. We investigated Aβ42 conformational changes by analyzing three distinct peptide regions generated by Lys-N digestion, revealing three different views of the aggregation behaviors. The middle and C-terminal regions are identified as primary aggregation sites; in contrast, the N-terminal peptide exhibited only minor changes in GEE modification, supporting its limited involvement in intermolecular interactions during aggregation. Amino-acid-level analysis provided higher spatial resolution: D1 underwent relatively constant footprinting throughout aggregation, whereas E3/D7, E22, and D23 showed more substantial decreases in the level of modification, underscoring their critical roles in aggregation. By integrating these findings with kinetic modeling, we identified four predominant polymeric populations involved in Aβ1-42 aggregation. This study reports, for the first time, a stable, specific, and slow chemical footprinting approach to characterizing Aβ1-42 aggregation, offering new insights into Aβ1-42 polymerization dynamics and enhancing our understanding of its role in AD pathology. The solvent accessibility features of the six acidic amino acids and the C terminus calculated from the final, fibril state structure of Aβ42 are consistent with the footprinting results.

Indexed as

Amyloid beta-PeptidesGlycinePeptide FragmentsProtein AggregatesProtein Aggregation, PathologicalAlzheimer DiseaseHumansKineticsMass SpectrometryProtein ConformationProtein FootprintingAmyloid beta-Peptidesamyloid beta-protein (1-42)GlycinePeptide FragmentsProtein Aggregatesaggregation kineticsAβ42 peptidecovalent labelingprotein and peptidesprotein modification

Identifiers

PMID40378310
PMCPMC13005672

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.