Literature DB >> 31874151

Inherent Biophysical Properties Modulate the Toxicity of Soluble Amyloidogenic Light Chains.

Martina Maritan1, Margherita Romeo2, Luca Oberti1, Pietro Sormanni3, Masayoshi Tasaki4, Rosaria Russo5, Arianna Ambrosetti1, Paolo Motta5, Paola Rognoni6, Giulia Mazzini6, Alberto Barbiroli7, Giovanni Palladini6, Michele Vendruscolo3, Luisa Diomede2, Martino Bolognesi8, Giampaolo Merlini6, Francesca Lavatelli9, Stefano Ricagno10.   

Abstract

In light chain amyloidosis (AL), fibrillar deposition of monoclonal immunoglobulin light chains (LCs) in vital organs, such as heart, is associated with their severe dysfunction. In addition to the cellular damage caused by fibril deposition, direct toxicity of soluble prefibrillar amyloidogenic proteins has been reported, in particular, for cardiotoxicity. However, the molecular bases of proteotoxicity by soluble LCs have not been clarified. Here, to address this issue, we rationally engineered the amino acid sequence of the highly cardiotoxic LC H6 by introducing three residue mutations, designed to reduce the dynamics of its native state. The resulting mutant (mH6) is less toxic than its parent H6 to human cardiac fibroblasts and C. elegans. The high sequence and structural similarity, together with the different toxicity, make H6 and its non-toxic designed variant mH6 a test case to shed light on the molecular properties underlying soluble toxicity. Our comparative structural and biochemical study of H6 and mH6 shows closely matching crystal structures, whereas spectroscopic data and limited proteolysis indicate that H6 displays poorly cooperative fold, higher flexibility, and kinetic instability, and a higher dynamic state in its native fold. Taken together, the results of this study show a strong correlation between the overall conformational properties of the native fold and the proteotoxicity of cardiotropic LCs.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  fold stability; light chain amyloidosis; protein dynamics; protein structure; proteotoxicity

Mesh:

Substances:

Year:  2019        PMID: 31874151     DOI: 10.1016/j.jmb.2019.12.015

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

Review 1.  The role of artificial intelligence in the battle against antimicrobial-resistant bacteria.

Authors:  Hul Juan Lau; Chern Hong Lim; Su Chern Foo; Hock Siew Tan
Journal:  Curr Genet       Date:  2021-02-13       Impact factor: 3.886

2.  A Conservative Point Mutation in a Dynamic Antigen-binding Loop of Human Immunoglobulin λ6 Light Chain Promotes Pathologic Amyloid Formation.

Authors:  Daniele Peterle; Elena S Klimtchuk; Thomas E Wales; Florian Georgescauld; Lawreen H Connors; John R Engen; Olga Gursky
Journal:  J Mol Biol       Date:  2021-10-19       Impact factor: 5.469

3.  Multi-eGO: An in silico lens to look into protein aggregation kinetics at atomic resolution.

Authors:  Emanuele Scalone; Luca Broggini; Cristina Visentin; Davide Erba; Fran Bačić Toplek; Kaliroi Peqini; Sara Pellegrino; Stefano Ricagno; Cristina Paissoni; Carlo Camilloni
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-23       Impact factor: 12.779

4.  Protease-sensitive regions in amyloid light chains: what a common pattern of fragmentation across organs suggests about aggregation.

Authors:  Giulia Mazzini; Stefano Ricagno; Serena Caminito; Paola Rognoni; Paolo Milani; Mario Nuvolone; Marco Basset; Andrea Foli; Rosaria Russo; Giampaolo Merlini; Giovanni Palladini; Francesca Lavatelli
Journal:  FEBS J       Date:  2021-09-15       Impact factor: 5.622

5.  Light Chain Stabilization: A Therapeutic Approach to Ameliorate AL Amyloidosis.

Authors:  Gareth J Morgan; Joel N Buxbaum; Jeffery W Kelly
Journal:  Hemato       Date:  2021-10-05

6.  Mass spectrometry characterization of light chain fragmentation sites in cardiac AL amyloidosis: insights into the timing of proteolysis.

Authors:  Francesca Lavatelli; Giulia Mazzini; Stefano Ricagno; Federica Iavarone; Paola Rognoni; Paolo Milani; Mario Nuvolone; Paolo Swuec; Serena Caminito; Masayoshi Tasaki; Antonio Chaves-Sanjuan; Andrea Urbani; Giampaolo Merlini; Giovanni Palladini
Journal:  J Biol Chem       Date:  2020-09-20       Impact factor: 5.157

7.  Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Authors:  Maura Garofalo; Luca Piccoli; Margherita Romeo; Maria Monica Barzago; Sara Ravasio; Mathilde Foglierini; Milos Matkovic; Jacopo Sgrignani; Raoul De Gasparo; Marco Prunotto; Luca Varani; Luisa Diomede; Olivier Michielin; Antonio Lanzavecchia; Andrea Cavalli
Journal:  Nat Commun       Date:  2021-06-10       Impact factor: 14.919

8.  Cu(II) Binding Increases the Soluble Toxicity of Amyloidogenic Light Chains.

Authors:  Rosaria Russo; Margherita Romeo; Tim Schulte; Martina Maritan; Luca Oberti; Maria Monica Barzago; Alberto Barbiroli; Carlo Pappone; Luigi Anastasia; Giovanni Palladini; Luisa Diomede; Stefano Ricagno
Journal:  Int J Mol Sci       Date:  2022-01-16       Impact factor: 5.923

  8 in total

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