New Aβ(1-42) ligands from anti-amyloid antibodies: Design, synthesis, and structural interaction.


Journal

European journal of medicinal chemistry
ISSN: 1768-3254
Titre abrégé: Eur J Med Chem
Pays: France
ID NLM: 0420510

Informations de publication

Date de publication:
05 Jul 2022
Historique:
received: 13 11 2021
revised: 17 03 2022
accepted: 15 04 2022
pubmed: 1 5 2022
medline: 26 5 2022
entrez: 30 4 2022
Statut: ppublish

Résumé

Alzheimer's disease (AD), is the most common neurodegenerative disorder of the aging population resulting in progressive cognitive and functional decline. Accumulation of amyloid plaques around neuronal cells is considered a critical pathogenetic event and, in most cases, a hallmark of the pathology. In the attempt to identify anti-AD drug candidates, hundreds of molecules targeting Aβ peptides have been screened. Peptide molecules have been widely explored, appreciating chemical stability, biocompatibility, and low production cost. More recently, many anti-Aβ(1-42) monoclonal antibodies have been developed, given the excellent potential of immunotherapy for treating or preventing AD. Antibodies are versatile ligands that bind a large variety of molecules with high affinity and specificity; however, their extensive therapeutic application is complex and requires huge economic investments. Novel approaches to identify alternative antibody formats are considered with great interest. In this context, taking advantage of the favorable peptide properties and the availability of Aβ-antibodies structural data, we followed an innovative research approach to identify short peptide sequences on the model of the binding sites of Aβ(1-42)/antibodies. WAibH and SYSTPGK were designed as mimics of solanezumab and aducanumab, respectively. Circular dichroism and nuclear magnetic resonance analysis reveal that the antibody-derived peptides interact with Aβ(1-42) in the soluble monomeric form. Moreover, AFM microscopy imaging shows that WAibH and SYSTPGK are capable of controlling the Aβ(1-42) aggregation. The strategy to identify WAibH and SYSTPGK is innovative and can be widely applied for new anti-Aβ antibody mimicking peptides.

Identifiants

pubmed: 35489223
pii: S0223-5234(22)00302-6
doi: 10.1016/j.ejmech.2022.114400
pii:
doi:

Substances chimiques

Amyloid 0
Amyloid beta-Peptides 0
Antibodies 0
Ligands 0
Peptide Fragments 0
amyloid beta-protein (1-42) 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114400

Informations de copyright

Copyright © 2022 Elsevier Masson SAS. All rights reserved.

Auteurs

Angelo Santoro (A)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Manuela Grimaldi (M)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Michela Buonocore (M)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Ilaria Stillitano (I)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Antonio Gloria (A)

Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, V.le J.F. Kennedy 54 - Pad. 20, Mostra d'Oltremare, 80125, Naples, Italy.

Matteo Santin (M)

Centre for Regenerative Medicine and Devices, School of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton, BN2 4GJ, UK.

Fabrizio Bobba (F)

Department of Physics, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Matilde Sublimi Saponetti (M)

Department of Physics, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy.

Elena Ciaglia (E)

Department of Medicine, Surgery and Dentistry Scuola Medica Salernitana, University of Salerno, Via Salvatore Allende, 84081, Baronissi, Salerno, Italy.

Anna Maria D'Ursi (AM)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084, Fisciano, Salerno, Italy. Electronic address: dursi@unisa.it.

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Classifications MeSH