Cryptococcus neoformans capsular GXM conformation and epitope presentation: a molecular modelling study

Kuttel, Michelle M. and Casadevall, Arturo and Oscarson, Stefan (2020) Cryptococcus neoformans capsular GXM conformation and epitope presentation: a molecular modelling study, Molecules, 25, MDPI.

[img] Text
Kuttel_Molecules_2020.pdf - Published Version
Available under License Creative Commons Attribution.

Download (7MB)

Abstract

The pathogenic encapsulated Cryptococcus neoformans fungus causes serious disease in immunosuppressed hosts. The capsule, a key virulence factor, consists primarily of the glucuronoxylomannan polysaccharide (GXM) that varies in composition according to serotype. While GXM is a potential vaccine target, vaccine development has been confounded by the existence of epitopes that elicit non-protective antibodies. Although there is evidence for protective antibodies binding conformational epitopes, the secondary structure of GXM remains an unsolved problem. Here an array of molecular dynamics simulations reveal that the GXM mannan backbone is consistently extended and relatively inflexible in both C. neoformans serotypes A and D. Backbone substitution does not alter the secondary structure, but rather adds structural motifs: bDGlcA and bDXyl side chains decorate the mannan backbone in two hydrophillic fringes, with mannose-6-O-acetylation forming a hydrophobic ridge between them. This work provides mechanistic rationales for clinical observations—the importance of O-acetylation for antibody binding; the lack of binding of protective antibodies to short GXM fragments; the existence of epitopes that elicit non-protective antibodies; and the self-aggregation of GXM chains—indicating that molecular modelling can play a role in the rational design of conjugate vaccines.

Item Type: Journal article (online only)
Subjects: Applied computing > Life and medical sciences > Computational biology > Molecular structural biology
Computing methodologies > Modeling and simulation > Simulation types and techniques > Molecular simulation
Applied computing > Physical sciences and engineering > Chemistry
Date Deposited: 11 Aug 2020 11:44
Last Modified: 11 Aug 2020 11:44
URI: http://pubs.cs.uct.ac.za/id/eprint/1380

Actions (login required)

View Item View Item