Antibody light chain amyloidosis is a disorder in which protein aggregates, mainly composed of immunoglobulin light chains, deposit in diverse tissues impairing the correct functioning of organs. Interestingly, due to the high susceptibility of antibodies to mutations, AL amyloidosis appears to be strongly patient-specific. Indeed,every patient will display their own mutations that will make the proteins involved prone to aggregation thus hindering the study of this disease on a wide scale. In this framework, determining the molecular mechanisms that drive the aggregation could pave the way to the development of patient-specific therapeutics. Here, we focus on a particular patient-derived light chain, which has been experimentally characterized.We investigated the early phases of the aggregation pathway through extensive full-atom molecular dynamics simulations, highlighting a structural rearrangement and the exposure of two hydrophobic regions in the aggregation-prone species. Next, we moved to consider the pathological dimerization process through docking and molecular dynamics simulations, proposing a dimeric structure as a candidate pathological first assembly. Overall, our results shed light on the first phases of the aggregation pathway for a light chain at an atomic level detail, offering new structural insights into the corresponding aggregation process.

Computational evidences of a misfolding event in an aggregation‐prone light chain preceding the formation of the non‐native pathogenic dimer / Desantis, Fausta; Miotto, Mattia; Milanetti, Edoardo; Ruocco, Giancarlo; DI RIENZO, Lorenzo. - In: PROTEINS. - ISSN 1097-0134. - (2024). [10.1002/prot.26672]

Computational evidences of a misfolding event in an aggregation‐prone light chain preceding the formation of the non‐native pathogenic dimer

Fausta Desantis;Mattia Miotto;Edoardo Milanetti;Giancarlo Ruocco;Lorenzo Di Rienzo
2024

Abstract

Antibody light chain amyloidosis is a disorder in which protein aggregates, mainly composed of immunoglobulin light chains, deposit in diverse tissues impairing the correct functioning of organs. Interestingly, due to the high susceptibility of antibodies to mutations, AL amyloidosis appears to be strongly patient-specific. Indeed,every patient will display their own mutations that will make the proteins involved prone to aggregation thus hindering the study of this disease on a wide scale. In this framework, determining the molecular mechanisms that drive the aggregation could pave the way to the development of patient-specific therapeutics. Here, we focus on a particular patient-derived light chain, which has been experimentally characterized.We investigated the early phases of the aggregation pathway through extensive full-atom molecular dynamics simulations, highlighting a structural rearrangement and the exposure of two hydrophobic regions in the aggregation-prone species. Next, we moved to consider the pathological dimerization process through docking and molecular dynamics simulations, proposing a dimeric structure as a candidate pathological first assembly. Overall, our results shed light on the first phases of the aggregation pathway for a light chain at an atomic level detail, offering new structural insights into the corresponding aggregation process.
2024
light Chain Amyloidosis; molecular dynamics simulation; pathogenic dimerization; protein aggregation; protein misfolding
01 Pubblicazione su rivista::01a Articolo in rivista
Computational evidences of a misfolding event in an aggregation‐prone light chain preceding the formation of the non‐native pathogenic dimer / Desantis, Fausta; Miotto, Mattia; Milanetti, Edoardo; Ruocco, Giancarlo; DI RIENZO, Lorenzo. - In: PROTEINS. - ISSN 1097-0134. - (2024). [10.1002/prot.26672]
File allegati a questo prodotto
File Dimensione Formato  
Desantis_Computational-evidences_2024.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.62 MB
Formato Adobe PDF
2.62 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1701931
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact