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Updated: Jun 25, 2026

Interactions with and Membrane Permeabilization of Brain Mitochondria by Amyloid Fibrils
Published on: September 28, 2019
Supramolecular Integration of 18-Crown-6 and an N-Capped Short Peptide Enables Multivalent Recognition and Modulation
Atin Chatterjee1,2, Rajsekhar Roy3, Sandip Sarkar1
1Department of Chemical Sciences and Center for Advanced Functional Materials Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, West Bengal 741246 India.
Abstract:
Amyloid-β 42 (Aβ-42) misfolding and self-assembly drive proteostatic collapse in Alzheimer's disease, but chemically programmable systems enabling sequence-selective recognition and remodeling of the Aβ-42 aggregation pathway remain elusive. We report a rationally engineered supramolecular composite, 18C6-LV-PEG, that integrates benzo-18-crown-6 (18C6) to form a supramolecular inclusion complex with the ε-NH3+ group on lysine, a short peptide sequence targeting the 17LVFF20 motif of Aβ-42, and a PEG appendage to enhance pharmacokinetics and blood-brain barrier permeability. Cooperative multivalent engagement of this motif, confirmed by 1H-15N HSQC NMR, confers markedly enhanced affinity (KaITC ∼ 7.4 × 104 M-1 toward monomeric Aβ-42) relative to individual components (≤102 M-1), demonstrating synergistic binding. Importantly, 18C6-LV-PEG not only blocks nucleation-dependent Aβ-42 aggregation but also effectively destabilizes soluble oligomers, as well as mature aggregates, revealing a mechanistically distinct supramolecular modulation of the Aβ-42 aggregation pathway relative to conventional inhibitors. The nontoxic conjugate mitigates oxidative stress, restores mitochondrial function, reinstates glial-neuronal connectivity, and improves cognition in an Alzheimer's model. More broadly, this work introduces a conceptual design principle that integrates precision Lys16-clamp by 18C6 with targeting of the aggregation-prone 17LVFF20 motif to enable chemically programmable, multivalent intervention in pathogenic protein assemblies.

